By Region

Region Europe

Country: Germany

aga_15.ref

Citations

• Kromeyer-Hauschild K, Moss A, Wabitsch M. Referenzwerte für den Body-Mass-Index für Kinder, Jugendliche und Erwachsene in Deutschland. Adipositas - Ursachen, Folgeerkrankungen, Therapie. 2015;09(3):123–7.

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.000	10.08	11.00	12.68	14.29	15.12	1.306	0.101
♂	0.083	12.25	13.06	14.70	16.53	17.58	0.114	0.092
♂	0.167	12.99	13.79	15.46	17.37	18.49	-0.149	0.090
♂	0.250	13.51	14.31	15.98	17.93	19.09	-0.326	0.088
♂	0.333	13.88	14.66	16.33	18.28	19.46	-0.462	0.086
♂	0.417	14.11	14.88	16.54	18.51	19.71	-0.571	0.085
♂	0.500	14.28	15.05	16.70	18.67	19.88	-0.667	0.084
♂	0.583	14.40	15.15	16.79	18.76	19.97	-0.749	0.083
♂	0.667	14.48	15.22	16.84	18.79	20.00	-0.822	0.082
♂	0.750	14.50	15.24	16.85	18.81	20.04	-0.886	0.082
♂	0.833	14.53	15.26	16.85	18.80	20.01	-0.947	0.081
♂	0.917	14.52	15.24	16.83	18.78	20.00	-1.001	0.081
♂	1.000	14.50	15.22	16.79	18.74	19.98	-1.051	0.081
♂	2.000	13.92	14.58	16.08	18.02	19.31	-1.453	0.082
♂	3.000	13.48	14.13	15.62	17.61	18.99	-1.672	0.085
♂	4.000	13.30	13.94	15.45	17.53	19.00	-1.804	0.088
♂	5.000	13.16	13.83	15.40	17.62	19.25	-1.881	0.093
♂	6.000	13.10	13.79	15.45	17.86	19.69	-1.918	0.099
♂	7.000	13.15	13.88	15.66	18.33	20.42	-1.923	0.106
♂	8.000	13.29	14.07	16.01	19.00	21.41	-1.906	0.114
♂	9.000	13.46	14.30	16.42	19.80	22.63	-1.872	0.123
♂	10.000	13.70	14.60	16.89	20.60	23.80	-1.827	0.130
♂	11.000	14.00	14.96	17.41	21.45	24.98	-1.774	0.136
♂	12.000	14.39	15.40	17.99	22.26	25.98	-1.719	0.139
♂	13.000	14.87	15.93	18.62	22.99	26.76	-1.663	0.139
♂	14.000	15.38	16.48	19.26	23.71	27.46	-1.606	0.138
♂	15.000	15.91	17.04	19.89	24.37	28.05	-1.550	0.136
♂	16.000	16.44	17.60	20.48	24.94	28.50	-1.495	0.133
♂	17.000	16.94	18.12	21.04	25.46	28.90	-1.440	0.130
♂	18.000	17.48	18.68	21.64	26.10	29.58	-1.458	0.128
♂	19.000	17.86	19.10	22.14	26.68	30.15	-1.393	0.128
♂	20.000	18.21	19.50	22.61	27.21	30.69	-1.331	0.128
♂	21.000	18.52	19.84	23.06	27.76	31.28	-1.272	0.129
♂	22.000	18.82	20.18	23.46	28.21	31.73	-1.216	0.129
♂	23.000	19.08	20.47	23.82	28.62	32.13	-1.161	0.129
♂	24.000	19.28	20.71	24.13	29.02	32.56	-1.110	0.130
♂	25.000	19.49	20.94	24.41	29.33	32.86	-1.060	0.130
♂	26.000	19.66	21.14	24.66	29.60	33.11	-1.013	0.130
♂	27.000	19.78	21.29	24.88	29.88	33.42	-0.969	0.131
♂	28.000	19.91	21.45	25.07	30.09	33.61	-0.928	0.131
♂	29.000	20.00	21.56	25.24	30.32	33.87	-0.891	0.132
♂	30.000	20.10	21.68	25.39	30.48	34.02	-0.858	0.132
♂	31.000	20.19	21.78	25.52	30.62	34.14	-0.829	0.132
♂	32.000	20.24	21.85	25.64	30.80	34.35	-0.803	0.133
♂	33.000	20.32	21.95	25.76	30.93	34.48	-0.781	0.133
♂	34.000	20.41	22.05	25.88	31.07	34.61	-0.762	0.133
♂	35.000	20.49	22.15	26.00	31.20	34.75	-0.746	0.133
♂	36.000	20.57	22.24	26.12	31.33	34.88	-0.731	0.133
♂	37.000	20.62	22.31	26.23	31.51	35.10	-0.719	0.134
♂	38.000	20.71	22.41	26.35	31.64	35.24	-0.708	0.134
♂	39.000	20.80	22.51	26.47	31.78	35.38	-0.699	0.134
♂	40.000	20.89	22.61	26.59	31.93	35.53	-0.690	0.134
♂	41.000	20.99	22.71	26.72	32.07	35.69	-0.682	0.134
♂	42.000	21.08	22.82	26.84	32.22	35.84	-0.674	0.134
♂	43.000	21.17	22.92	26.96	32.36	35.99	-0.665	0.134
♂	44.000	21.29	23.04	27.08	32.44	36.04	-0.655	0.133
♂	45.000	21.37	23.13	27.19	32.57	36.17	-0.645	0.133
♂	46.000	21.44	23.21	27.29	32.69	36.29	-0.636	0.133
♂	47.000	21.51	23.29	27.38	32.79	36.40	-0.626	0.133
♂	48.000	21.56	23.35	27.46	32.88	36.48	-0.616	0.133
♂	49.000	21.64	23.43	27.52	32.90	36.47	-0.608	0.132
♂	50.000	21.67	23.47	27.57	32.95	36.52	-0.599	0.132
♂	51.000	21.70	23.49	27.60	32.99	36.55	-0.592	0.132
♂	52.000	21.76	23.55	27.64	32.98	36.50	-0.586	0.131
♂	53.000	21.79	23.58	27.68	33.02	36.55	-0.581	0.131
♂	54.000	21.82	23.62	27.72	33.07	36.60	-0.578	0.131
♂	55.000	21.89	23.68	27.76	33.07	36.57	-0.575	0.130
♂	56.000	21.91	23.71	27.80	33.12	36.61	-0.573	0.130
♂	57.000	21.98	23.76	27.83	33.11	36.57	-0.572	0.129
♂	58.000	22.00	23.79	27.86	33.14	36.60	-0.570	0.129
♂	59.000	22.01	23.80	27.87	33.16	36.62	-0.569	0.129
♂	60.000	22.06	23.84	27.89	33.12	36.55	-0.568	0.128
♂	61.000	22.06	23.85	27.90	33.14	36.56	-0.567	0.128
♂	62.000	22.07	23.85	27.90	33.15	36.57	-0.567	0.128
♂	63.000	22.11	23.88	27.91	33.10	36.49	-0.567	0.127
♂	64.000	22.11	23.88	27.90	33.10	36.49	-0.569	0.127
♂	65.000	22.13	23.89	27.88	33.03	36.39	-0.572	0.126
♂	66.000	22.12	23.87	27.86	33.00	36.36	-0.578	0.126
♂	67.000	22.13	23.87	27.82	32.92	36.24	-0.585	0.125
♂	68.000	22.10	23.84	27.78	32.88	36.21	-0.595	0.125
♂	69.000	22.12	23.84	27.75	32.79	36.09	-0.607	0.124
♂	70.000	22.13	23.84	27.71	32.71	35.97	-0.620	0.123
♂	71.000	22.11	23.81	27.67	32.67	35.94	-0.636	0.123
♂	72.000	22.12	23.81	27.63	32.58	35.83	-0.652	0.122
♂	73.000	22.14	23.80	27.59	32.49	35.71	-0.670	0.121
♂	74.000	22.14	23.79	27.54	32.40	35.59	-0.688	0.120
♂	75.000	22.15	23.78	27.49	32.30	35.46	-0.706	0.119
♂	76.000	22.11	23.74	27.43	32.24	35.42	-0.725	0.119
♂	77.000	22.11	23.72	27.38	32.14	35.28	-0.743	0.118
♂	78.000	22.11	23.70	27.32	32.03	35.15	-0.762	0.117
♂	79.000	22.11	23.68	27.25	31.92	35.01	-0.781	0.116
♀	0.000	10.10	10.98	12.58	14.12	14.91	1.339	0.097
♀	0.083	11.90	12.71	14.29	15.94	16.83	0.664	0.088
♀	0.167	12.53	13.34	14.94	16.63	17.57	0.452	0.086
♀	0.250	13.02	13.82	15.41	17.14	18.10	0.295	0.084
♀	0.333	13.35	14.15	15.75	17.50	18.49	0.169	0.083
♀	0.417	13.61	14.39	15.99	17.76	18.76	0.062	0.082
♀	0.500	13.77	14.55	16.16	17.95	18.99	-0.032	0.082
♀	0.583	13.90	14.68	16.27	18.06	19.10	-0.116	0.081
♀	0.667	13.96	14.73	16.33	18.13	19.18	-0.189	0.081
♀	0.750	14.02	14.79	16.38	18.20	19.27	-0.261	0.081
♀	0.833	14.05	14.81	16.41	18.23	19.31	-0.327	0.081
♀	0.917	14.07	14.82	16.41	18.24	19.33	-0.387	0.081
♀	1.000	14.07	14.82	16.40	18.24	19.33	-0.443	0.081
♀	2.000	13.60	14.33	15.94	17.92	19.18	-0.915	0.087
♀	3.000	13.22	13.94	15.54	17.62	18.99	-1.194	0.091
♀	4.000	12.97	13.69	15.33	17.55	19.07	-1.382	0.096
♀	5.000	12.89	13.61	15.32	17.69	19.39	-1.524	0.101
♀	6.000	12.83	13.59	15.39	18.01	19.95	-1.620	0.108
♀	7.000	12.90	13.69	15.62	18.50	20.72	-1.658	0.115
♀	8.000	13.06	13.92	16.03	19.27	21.85	-1.638	0.124
♀	9.000	13.28	14.20	16.48	20.03	22.90	-1.580	0.131
♀	10.000	13.50	14.48	16.94	20.81	23.97	-1.505	0.138
♀	11.000	13.84	14.88	17.50	21.60	24.95	-1.428	0.142
♀	12.000	14.32	15.42	18.19	22.49	25.96	-1.358	0.144
♀	13.000	14.91	16.06	18.93	23.34	26.83	-1.299	0.143
♀	14.000	15.51	16.71	19.64	24.07	27.48	-1.249	0.140
♀	15.000	16.05	17.27	20.22	24.60	27.92	-1.221	0.136
♀	16.000	16.61	17.82	20.76	25.13	28.46	-1.300	0.132
♀	17.000	17.10	18.31	21.30	25.78	29.25	-1.387	0.131
♀	18.000	17.40	18.63	21.69	26.40	30.16	-1.487	0.133
♀	19.000	17.58	18.83	21.95	26.84	30.85	-1.548	0.135
♀	20.000	17.75	19.01	22.19	27.27	31.53	-1.606	0.137
♀	21.000	17.91	19.18	22.39	27.61	32.06	-1.658	0.138
♀	22.000	18.01	19.29	22.56	27.95	32.66	-1.705	0.140
♀	23.000	18.08	19.37	22.69	28.24	33.20	-1.743	0.142
♀	24.000	18.13	19.43	22.79	28.50	33.70	-1.773	0.144
♀	25.000	18.18	19.48	22.87	28.67	34.02	-1.794	0.145
♀	26.000	18.18	19.50	22.93	28.86	34.42	-1.805	0.147
♀	27.000	18.20	19.52	22.98	28.98	34.65	-1.809	0.148
♀	28.000	18.19	19.52	23.03	29.16	34.99	-1.805	0.150
♀	29.000	18.21	19.56	23.09	29.28	35.20	-1.795	0.151
♀	30.000	18.24	19.60	23.17	29.43	35.40	-1.780	0.152
♀	31.000	18.29	19.66	23.27	29.60	35.63	-1.761	0.153
♀	32.000	18.36	19.74	23.40	29.79	35.87	-1.738	0.154
♀	33.000	18.43	19.84	23.54	30.01	36.13	-1.712	0.155
♀	34.000	18.52	19.94	23.70	30.23	36.39	-1.683	0.156
♀	35.000	18.61	20.06	23.86	30.47	36.66	-1.653	0.157
♀	36.000	18.70	20.17	24.03	30.71	36.93	-1.621	0.158
♀	37.000	18.78	20.27	24.19	30.94	37.17	-1.586	0.159
♀	38.000	18.85	20.37	24.34	31.14	37.37	-1.546	0.160
♀	39.000	18.91	20.45	24.48	31.33	37.54	-1.502	0.161
♀	40.000	18.93	20.51	24.61	31.57	37.82	-1.454	0.163
♀	41.000	18.99	20.59	24.75	31.75	37.95	-1.402	0.164
♀	42.000	19.04	20.68	24.90	31.94	38.08	-1.348	0.165
♀	43.000	19.08	20.75	25.07	32.21	38.37	-1.293	0.167
♀	44.000	19.16	20.86	25.25	32.43	38.54	-1.237	0.168
♀	45.000	19.23	20.98	25.44	32.67	38.73	-1.183	0.169
♀	46.000	19.29	21.07	25.63	32.97	39.05	-1.130	0.171
♀	47.000	19.36	21.18	25.82	33.20	39.25	-1.078	0.172
♀	48.000	19.43	21.29	25.99	33.43	39.44	-1.028	0.173
♀	49.000	19.49	21.38	26.16	33.64	39.61	-0.980	0.174
♀	50.000	19.54	21.47	26.31	33.84	39.78	-0.932	0.175
♀	51.000	19.62	21.57	26.47	33.99	39.84	-0.884	0.175
♀	52.000	19.67	21.66	26.63	34.19	40.01	-0.836	0.176
♀	53.000	19.75	21.77	26.79	34.34	40.07	-0.787	0.176
♀	54.000	19.83	21.88	26.96	34.50	40.14	-0.738	0.176
♀	55.000	19.91	22.00	27.13	34.66	40.22	-0.687	0.176
♀	56.000	19.99	22.12	27.31	34.84	40.31	-0.638	0.176
♀	57.000	20.08	22.24	27.49	35.02	40.43	-0.591	0.176
♀	58.000	20.17	22.37	27.67	35.20	40.55	-0.547	0.176
♀	59.000	20.26	22.49	27.85	35.38	40.68	-0.505	0.176
♀	60.000	20.37	22.62	28.01	35.49	40.69	-0.463	0.175
♀	61.000	20.43	22.72	28.14	35.62	40.76	-0.421	0.175
♀	62.000	20.50	22.81	28.26	35.67	40.71	-0.377	0.174
♀	63.000	20.53	22.87	28.36	35.75	40.73	-0.332	0.174
♀	64.000	20.57	22.94	28.44	35.76	40.62	-0.284	0.173
♀	65.000	20.60	22.99	28.50	35.74	40.49	-0.233	0.172
♀	66.000	20.61	23.02	28.54	35.68	40.32	-0.179	0.171
♀	67.000	20.59	23.02	28.54	35.59	40.11	-0.122	0.170
♀	68.000	20.55	23.00	28.52	35.47	39.86	-0.061	0.169
♀	69.000	20.53	22.99	28.48	35.28	39.51	0.001	0.167
♀	70.000	20.46	22.94	28.42	35.11	39.21	0.066	0.166
♀	71.000	20.37	22.87	28.35	34.92	38.91	0.132	0.165
♀	72.000	20.32	22.84	28.27	34.69	38.53	0.199	0.163
♀	73.000	20.23	22.76	28.18	34.50	38.23	0.267	0.162
♀	74.000	20.18	22.72	28.10	34.27	37.86	0.337	0.160
♀	75.000	20.08	22.66	28.03	34.09	37.58	0.408	0.159
♀	76.000	19.99	22.59	27.95	33.91	37.31	0.480	0.158
♀	77.000	19.94	22.55	27.87	33.69	36.97	0.553	0.156
♀	78.000	19.84	22.47	27.79	33.51	36.69	0.627	0.155
♀	79.000	19.73	22.40	27.70	33.32	36.42	0.700	0.154

bone.ref

Citations

• Geserick M, Vogel M, Eckelt F, et al. Children and adolescents with obesity have reduced serum bone turnover markers and 25-hydroxyvitamin D but increased parathyroid hormone concentrations – Results derived from new pediatric reference ranges. Bone 2020;132:115124.
• Weber J. et al. In preparation.

OSTEOCALCINE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1500000	59.62	73.78	120.05	186.92	221.42	0.3510	0.2044	3.0630
♂	0.2333333	58.82	72.68	117.75	182.65	216.18	0.3480	0.2047	3.0481
♂	0.3166667	58.03	71.60	115.50	178.51	211.10	0.3451	0.2050	3.0333
♂	0.4000000	57.25	70.55	113.31	174.50	206.18	0.3423	0.2052	3.0187
♂	0.4833333	56.49	69.51	111.18	170.61	201.41	0.3394	0.2055	3.0043
♂	0.5666667	55.75	68.50	109.11	166.84	196.80	0.3366	0.2058	2.9900
♂	0.6500000	55.02	67.52	107.10	163.20	192.35	0.3338	0.2061	2.9758
♂	0.7333333	54.31	66.56	105.15	159.69	188.05	0.3311	0.2064	2.9618
♂	0.8166667	53.61	65.62	103.26	156.30	183.90	0.3285	0.2067	2.9480
♂	0.9000000	52.94	64.71	101.43	153.03	179.91	0.3258	0.2070	2.9343
♂	0.9833333	52.28	63.83	99.67	149.88	176.07	0.3232	0.2073	2.9208
♀	0.1500000	55.72	69.35	111.16	172.42	207.15	0.3468	0.1583	2.6971
♀	0.2333333	55.07	68.52	109.39	169.01	202.94	0.3439	0.1611	2.6670
♀	0.3166667	54.43	67.71	107.67	165.68	198.84	0.3411	0.1640	2.6373
♀	0.4000000	53.80	66.91	105.98	162.45	194.86	0.3384	0.1668	2.6082
♀	0.4833333	53.19	66.13	104.34	159.32	191.01	0.3356	0.1695	2.5795
♀	0.5666667	52.59	65.37	102.74	156.29	187.27	0.3330	0.1723	2.5513
♀	0.6500000	52.01	64.63	101.19	153.35	183.66	0.3303	0.1750	2.5236
♀	0.7333333	51.44	63.90	99.68	150.51	180.17	0.3277	0.1776	2.4964
♀	0.8166667	50.89	63.20	98.22	147.76	176.81	0.3251	0.1802	2.4697
♀	0.9000000	50.35	62.52	96.81	145.12	173.56	0.3226	0.1827	2.4435
♀	0.9833333	49.84	61.86	95.44	142.57	170.44	0.3201	0.1851	2.4178

BETACTX

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1500000	629.34	745.91	989.36	1272.51	1444.15	0.2084	0.4323	1.9108
♂	0.2333333	628.91	746.70	993.30	1280.02	1453.29	0.2102	0.4385	1.9184
♂	0.3166667	628.47	747.48	997.27	1287.61	1462.51	0.2119	0.4447	1.9260
♂	0.4000000	628.03	748.28	1001.30	1295.29	1471.84	0.2137	0.4509	1.9336
♂	0.4833333	627.58	749.08	1005.38	1303.06	1481.26	0.2155	0.4571	1.9413
♂	0.5666667	627.13	749.90	1009.52	1310.93	1490.78	0.2173	0.4632	1.9490
♂	0.6500000	626.68	750.75	1013.72	1318.89	1500.40	0.2190	0.4694	1.9568
♂	0.7333333	626.25	751.62	1017.99	1326.95	1510.14	0.2208	0.4756	1.9645
♂	0.8166667	625.84	752.52	1022.33	1335.12	1519.97	0.2226	0.4819	1.9723
♂	0.9000000	625.45	753.47	1026.75	1343.40	1529.93	0.2243	0.4881	1.9801
♂	0.9833333	625.09	754.46	1031.26	1351.79	1539.99	0.2261	0.4943	1.9878
♀	0.1500000	644.13	752.52	989.31	1276.40	1453.32	0.2062	0.2694	1.9595
♀	0.2333333	641.95	751.64	991.61	1282.47	1461.36	0.2084	0.2786	1.9634
♀	0.3166667	639.75	750.76	993.97	1288.63	1469.51	0.2107	0.2878	1.9673
♀	0.4000000	637.54	749.89	996.37	1294.89	1477.78	0.2130	0.2969	1.9712
♀	0.4833333	635.32	749.03	998.84	1301.27	1486.17	0.2152	0.3061	1.9751
♀	0.5666667	633.10	748.20	1001.38	1307.76	1494.69	0.2175	0.3152	1.9790
♀	0.6500000	630.89	747.39	1004.00	1314.37	1503.35	0.2198	0.3243	1.9829
♀	0.7333333	628.69	746.62	1006.71	1321.12	1512.16	0.2221	0.3334	1.9868
♀	0.8166667	626.51	745.90	1009.52	1328.02	1521.13	0.2244	0.3424	1.9907
♀	0.9000000	624.36	745.23	1012.44	1335.06	1530.26	0.2267	0.3514	1.9945
♀	0.9833333	622.25	744.63	1015.47	1342.27	1539.57	0.2290	0.3604	1.9983

VITD25OH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1500000	10.69	22.80	44.77	66.39	79.44	0.4095	1.1630	1.5489
♂	0.2333333	10.42	22.27	43.96	65.34	78.16	0.4107	1.1529	1.5695
♂	0.3166667	10.16	21.76	43.17	64.31	76.91	0.4119	1.1428	1.5905
♂	0.4000000	9.91	21.26	42.39	63.30	75.68	0.4131	1.1328	1.6117
♂	0.4833333	9.67	20.77	41.63	62.31	74.47	0.4142	1.1227	1.6332
♂	0.5666667	9.43	20.29	40.88	61.33	73.28	0.4154	1.1126	1.6549
♂	0.6500000	9.21	19.83	40.14	60.36	72.11	0.4166	1.1026	1.6768
♂	0.7333333	8.99	19.38	39.42	59.41	70.96	0.4178	1.0925	1.6990
♂	0.8166667	8.78	18.95	38.71	58.48	69.83	0.4190	1.0824	1.7213
♂	0.9000000	8.58	18.52	38.01	57.57	68.72	0.4202	1.0723	1.7438
♂	0.9833333	8.39	18.11	37.33	56.67	67.63	0.4213	1.0622	1.7665
♀	0.1500000	14.04	24.23	45.57	68.92	82.07	0.3860	0.8272	1.9615
♀	0.2333333	13.78	23.69	44.68	67.74	80.66	0.3875	0.8195	1.9846
♀	0.3166667	13.52	23.17	43.82	66.59	79.29	0.3891	0.8118	2.0079
♀	0.4000000	13.28	22.66	42.97	65.46	77.93	0.3906	0.8041	2.0317
♀	0.4833333	13.04	22.16	42.13	64.35	76.60	0.3922	0.7964	2.0557
♀	0.5666667	12.80	21.68	41.32	63.26	75.30	0.3938	0.7888	2.0800
♀	0.6500000	12.57	21.20	40.52	62.19	74.01	0.3953	0.7811	2.1047
♀	0.7333333	12.35	20.74	39.73	61.13	72.75	0.3969	0.7735	2.1296
♀	0.8166667	12.14	20.29	38.96	60.10	71.51	0.3984	0.7659	2.1549
♀	0.9000000	11.92	19.86	38.21	59.08	70.29	0.3999	0.7584	2.1804
♀	0.9833333	11.72	19.43	37.47	58.08	69.10	0.4015	0.7509	2.2061

VITD25OH_SUMMER

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1500000	14.49	26.81	48.05	67.04	76.98	0.3365	1.3473	1.8181
♂	0.2333333	14.19	26.31	47.27	66.10	75.98	0.3382	1.3353	1.8157
♂	0.3166667	13.89	25.83	46.51	65.16	74.98	0.3399	1.3234	1.8134
♂	0.4000000	13.60	25.35	45.77	64.25	74.00	0.3416	1.3115	1.8111
♂	0.4833333	13.32	24.88	45.03	63.34	73.04	0.3433	1.2996	1.8087
♂	0.5666667	13.04	24.42	44.30	62.45	72.08	0.3450	1.2877	1.8064
♂	0.6500000	12.77	23.96	43.59	61.57	71.15	0.3467	1.2758	1.8041
♂	0.7333333	12.50	23.52	42.89	60.70	70.22	0.3484	1.2640	1.8018
♂	0.8166667	12.24	23.09	42.20	59.85	69.31	0.3502	1.2521	1.7994
♂	0.9000000	11.99	22.66	41.52	59.00	68.41	0.3519	1.2403	1.7971
♂	0.9833333	11.75	22.24	40.85	58.17	67.53	0.3536	1.2285	1.7947
♀	0.1500000	13.44	24.31	47.57	69.64	79.43	0.3662	1.1229	2.5277
♀	0.2333333	13.28	23.94	46.85	68.67	78.37	0.3669	1.1120	2.5315
♀	0.3166667	13.13	23.58	46.13	67.72	77.32	0.3676	1.1012	2.5359
♀	0.4000000	12.99	23.23	45.42	66.77	76.29	0.3683	1.0904	2.5410
♀	0.4833333	12.85	22.88	44.72	65.84	75.27	0.3689	1.0796	2.5466
♀	0.5666667	12.72	22.53	44.04	64.92	74.25	0.3696	1.0688	2.5528
♀	0.6500000	12.59	22.20	43.36	64.02	73.25	0.3702	1.0580	2.5596
♀	0.7333333	12.46	21.87	42.69	63.12	72.26	0.3708	1.0473	2.5669
♀	0.8166667	12.34	21.54	42.03	62.23	71.28	0.3714	1.0366	2.5748
♀	0.9000000	12.22	21.22	41.38	61.36	70.30	0.3720	1.0260	2.5833
♀	0.9833333	12.10	20.91	40.74	60.49	69.34	0.3726	1.0154	2.5923

VITD25OH_WINTER

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1500000	8.83	20.08	42.78	66.96	81.77	0.4516	0.9581	1.6451
♂	0.2333333	8.62	19.55	41.85	65.67	80.14	0.4524	0.9485	1.6727
♂	0.3166667	8.41	19.04	40.94	64.41	78.55	0.4532	0.9388	1.7010
♂	0.4000000	8.22	18.55	40.06	63.17	76.98	0.4541	0.9292	1.7298
♂	0.4833333	8.03	18.07	39.19	61.96	75.45	0.4549	0.9196	1.7591
♂	0.5666667	7.86	17.61	38.34	60.77	73.95	0.4558	0.9100	1.7889
♂	0.6500000	7.69	17.17	37.51	59.61	72.48	0.4566	0.9004	1.8193
♂	0.7333333	7.54	16.74	36.70	58.46	71.04	0.4574	0.8908	1.8501
♂	0.8166667	7.39	16.32	35.91	57.34	69.64	0.4582	0.8812	1.8813
♂	0.9000000	7.25	15.93	35.14	56.25	68.26	0.4590	0.8716	1.9131
♂	0.9833333	7.13	15.54	34.38	55.17	66.91	0.4597	0.8621	1.9452
♀	0.1500000	15.10	24.78	46.41	70.84	84.29	0.3879	0.7628	2.0924
♀	0.2333333	14.77	24.11	45.23	69.20	82.35	0.3892	0.7535	2.1128
♀	0.3166667	14.44	23.47	44.08	67.60	80.46	0.3906	0.7442	2.1335
♀	0.4000000	14.12	22.84	42.96	66.03	78.61	0.3919	0.7349	2.1543
♀	0.4833333	13.81	22.23	41.87	64.51	76.81	0.3933	0.7256	2.1753
♀	0.5666667	13.51	21.64	40.81	63.02	75.06	0.3947	0.7163	2.1964
♀	0.6500000	13.21	21.06	39.77	61.58	73.35	0.3960	0.7070	2.2177
♀	0.7333333	12.93	20.51	38.77	60.16	71.69	0.3974	0.6977	2.2392
♀	0.8166667	12.64	19.96	37.79	58.79	70.06	0.3988	0.6884	2.2607
♀	0.9000000	12.37	19.44	36.84	57.45	68.48	0.4002	0.6792	2.2824
♀	0.9833333	12.10	18.93	35.92	56.15	66.95	0.4016	0.6699	2.3042

PTH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	0.97	1.27	2.19	3.81	5.02	0.4258	-0.0164	2.2152
♂	0.2500000	0.98	1.28	2.21	3.82	5.02	0.4223	-0.0130	2.1984
♂	0.3333333	0.99	1.30	2.22	3.83	5.02	0.4188	-0.0095	2.1819
♂	0.4166667	1.00	1.31	2.24	3.84	5.03	0.4154	-0.0060	2.1656
♂	0.5000000	1.02	1.33	2.26	3.85	5.03	0.4120	-0.0024	2.1496
♂	0.5833333	1.03	1.34	2.28	3.86	5.04	0.4087	0.0013	2.1338
♂	0.6666667	1.04	1.36	2.30	3.87	5.04	0.4053	0.0051	2.1183
♂	0.7500000	1.05	1.38	2.31	3.88	5.05	0.4021	0.0090	2.1031
♂	0.8333333	1.07	1.39	2.33	3.89	5.05	0.3988	0.0130	2.0881
♂	0.9166667	1.08	1.41	2.35	3.90	5.05	0.3956	0.0171	2.0735
♂	1.0000000	1.09	1.42	2.36	3.91	5.06	0.3925	0.0214	2.0591
♂	2.0000000	1.23	1.60	2.55	3.99	5.07	0.3583	0.0819	1.9090
♂	5.0000000	1.44	1.86	2.80	4.05	4.94	0.3062	0.2492	1.7422
♂	6.0000000	1.46	1.88	2.81	4.05	4.92	0.3028	0.2608	1.7913
♂	7.0000000	1.48	1.88	2.82	4.07	4.92	0.3016	0.2409	1.8883
♂	8.0000000	1.51	1.89	2.83	4.11	4.95	0.3019	0.1945	2.0125
♂	17.0000000	1.84	2.32	3.29	4.84	6.52	0.3031	-0.2684	1.3122
♂	18.0000000	1.85	2.34	3.29	4.79	6.53	0.2997	-0.2767	1.2101
♀	0.1666667	1.09	1.39	2.41	4.21	5.35	0.4231	-0.0055	2.7811
♀	0.2500000	1.10	1.40	2.43	4.24	5.40	0.4222	-0.0064	2.7646
♀	0.3333333	1.11	1.41	2.46	4.27	5.44	0.4213	-0.0073	2.7482
♀	0.4166667	1.13	1.43	2.48	4.31	5.48	0.4204	-0.0082	2.7320
♀	0.5000000	1.14	1.44	2.50	4.34	5.53	0.4195	-0.0090	2.7160
♀	0.5833333	1.15	1.46	2.52	4.37	5.57	0.4185	-0.0099	2.7001
♀	0.6666667	1.16	1.47	2.54	4.40	5.61	0.4176	-0.0108	2.6844
♀	0.7500000	1.17	1.49	2.56	4.43	5.65	0.4166	-0.0116	2.6689
♀	0.8333333	1.18	1.50	2.58	4.46	5.69	0.4156	-0.0124	2.6535
♀	0.9166667	1.19	1.52	2.61	4.49	5.73	0.4146	-0.0132	2.6382
♀	1.0000000	1.21	1.53	2.63	4.52	5.77	0.4135	-0.0140	2.6230
♀	2.0000000	1.34	1.70	2.85	4.79	6.12	0.3978	-0.0192	2.4523
♀	5.0000000	1.64	2.04	3.07	4.61	5.66	0.3175	0.0476	2.0752
♀	6.0000000	1.71	2.09	3.08	4.48	5.42	0.2957	0.0766	2.0447
♀	7.0000000	1.75	2.13	3.09	4.42	5.29	0.2837	0.0983	2.0804
♀	8.0000000	1.78	2.16	3.12	4.44	5.28	0.2798	0.1090	2.1737
♀	17.0000000	1.82	2.04	2.93	4.16	4.63	0.2658	0.0840	5.2312
♀	18.0000000	1.82	2.01	2.84	3.97	4.34	0.2510	0.1229	6.6860

P1NP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	1027.25	1218.59	1849.15	2932.27	3647.63	0.3337	-0.2288	2.7082
♂	0.2500000	986.18	1170.59	1772.82	2799.49	3477.24	0.3316	-0.2203	2.6823
♂	0.3333333	946.94	1124.71	1699.99	2673.45	3315.81	0.3296	-0.2118	2.6570
♂	0.4166667	909.48	1080.88	1630.56	2553.91	3163.00	0.3276	-0.2034	2.6321
♂	0.5000000	873.77	1039.06	1564.43	2440.59	3018.41	0.3256	-0.1950	2.6077
♂	0.5833333	839.74	999.18	1501.49	2333.27	2881.71	0.3236	-0.1867	2.5838
♂	0.6666667	807.34	961.19	1441.64	2231.68	2752.53	0.3217	-0.1784	2.5605
♂	0.7500000	776.53	925.03	1384.77	2135.58	2630.53	0.3198	-0.1701	2.5377
♂	0.8333333	747.25	890.64	1330.77	2044.75	2515.39	0.3179	-0.1619	2.5155
♂	0.9166667	719.44	857.96	1279.55	1958.94	2406.77	0.3160	-0.1538	2.4939
♂	1.0000000	693.06	826.94	1231.00	1877.94	2304.38	0.3142	-0.1457	2.4728
♂	2.0000000	471.58	565.14	823.07	1208.79	1463.45	0.2934	-0.0579	2.2623
♂	5.0000000	333.48	398.04	546.82	745.35	879.98	0.2459	0.0798	1.9056
♂	6.0000000	334.18	398.93	543.10	732.93	864.01	0.2394	0.0946	1.8306
♂	7.0000000	332.15	397.56	540.73	729.01	861.32	0.2393	0.0960	1.7836
♂	8.0000000	327.76	394.04	540.24	734.74	872.91	0.2460	0.0830	1.7800
♂	17.0000000	129.79	162.79	350.86	766.08	969.43	0.5742	-0.0216	5.5597
♂	18.0000000	96.59	120.45	272.06	626.22	790.21	0.6083	-0.0279	6.6838
♀	0.1666667	941.88	1214.30	1813.62	2648.69	3296.11	0.3107	0.1475	1.6429
♀	0.2500000	905.63	1167.40	1741.10	2535.46	3147.53	0.3089	0.1589	1.6443
♀	0.3333333	870.95	1122.52	1671.81	2427.69	3006.57	0.3071	0.1702	1.6459
♀	0.4166667	837.79	1079.62	1605.67	2325.20	2872.94	0.3053	0.1814	1.6475
♀	0.5000000	806.12	1038.63	1542.60	2227.81	2746.36	0.3036	0.1926	1.6493
♀	0.5833333	775.90	999.51	1482.49	2135.35	2626.53	0.3019	0.2037	1.6511
♀	0.6666667	747.08	962.20	1425.27	2047.63	2513.19	0.3003	0.2147	1.6530
♀	0.7500000	719.62	926.66	1370.85	1964.48	2406.05	0.2986	0.2255	1.6550
♀	0.8333333	693.49	892.83	1319.12	1885.72	2304.84	0.2971	0.2363	1.6571
♀	0.9166667	668.64	860.65	1269.99	1811.17	2209.30	0.2955	0.2469	1.6594
♀	1.0000000	645.02	830.06	1223.39	1740.66	2119.18	0.2940	0.2574	1.6617
♀	2.0000000	445.02	570.29	829.74	1153.81	1377.77	0.2783	0.3655	1.6979
♀	5.0000000	336.89	413.89	582.56	788.20	916.09	0.2509	0.3821	1.9286
♀	6.0000000	345.82	419.72	589.44	800.51	929.04	0.2506	0.3219	2.0360
♀	7.0000000	349.08	421.32	595.54	817.71	950.94	0.2565	0.2644	2.1428
♀	8.0000000	348.60	421.51	605.92	848.22	992.55	0.2697	0.2171	2.2366
♀	17.0000000	33.69	49.16	92.18	168.46	236.54	0.4875	0.0677	1.7367
♀	18.0000000	22.52	33.19	61.18	108.83	151.59	0.4729	0.1014	1.6465

VITDBP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	5	267.22	290.78	338.52	390.57	419.91	0.1150	0.4135
♂	6	268.66	293.22	342.58	395.82	425.57	0.1168	0.4959
♂	7	269.62	295.01	346.14	401.39	432.30	0.1199	0.4958
♂	8	270.40	296.44	349.36	407.28	440.00	0.1237	0.4315
♂	9	271.02	297.44	352.01	413.02	448.04	0.1280	0.3215
♂	10	271.08	297.58	353.41	417.50	455.09	0.1321	0.1841
♂	11	270.35	296.61	353.07	419.79	459.86	0.1355	0.0378
♂	12	268.97	294.71	351.05	419.45	461.49	0.1377	-0.0990
♂	13	267.77	292.84	348.39	417.19	460.24	0.1380	-0.2080
♂	14	267.94	292.31	346.56	414.28	456.97	0.1360	-0.2707
♂	15	269.98	293.68	346.13	411.05	451.71	0.1311	-0.2688
♂	16	273.57	296.55	346.51	406.75	443.64	0.1232	-0.1838
♂	17	278.23	300.32	346.93	400.74	432.52	0.1125	0.0026
♂	18	284.01	304.90	347.24	393.47	419.59	0.0994	0.3090
♀	5	286.60	308.52	351.37	396.06	420.43	0.0972	0.6639
♀	6	282.57	305.23	352.40	405.85	436.92	0.1112	0.1236
♀	7	278.94	302.51	353.43	414.22	451.12	0.1226	-0.1270
♀	8	275.47	300.26	354.46	420.26	460.74	0.1311	-0.1529
♀	9	272.11	298.44	355.49	423.71	465.09	0.1367	-0.0196
♀	10	268.95	297.07	356.52	425.03	465.30	0.1397	0.2078
♀	11	266.30	296.26	357.56	425.07	463.35	0.1405	0.4638
♀	12	264.68	296.16	358.59	424.67	461.05	0.1399	0.6833
♀	13	264.74	296.92	359.62	424.58	459.81	0.1386	0.8010
♀	14	267.02	298.63	360.65	425.44	460.78	0.1373	0.7516
♀	15	271.65	301.27	361.68	427.97	465.46	0.1366	0.4698
♀	16	278.15	304.65	362.71	433.31	476.76	0.1374	-0.1097
♀	17	285.68	308.51	363.74	443.99	503.27	0.1403	-1.0522
♀	18	293.40	312.50	364.61	466.78	584.46	0.1462	-2.4229

bp_wuehl_age.ref

Citations

• Wühl E, Witte K, Soergel M, Mehls O, Schaefer F, Hypertension for the GWG on P. Distribution of 24-h ambulatory blood pressure in children: normalized reference values and role of body dimensions. Journal of Hypertension. 2002 Oct;20(10):1995.

SBP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	94.51	97.64	104.6	113.45	119.22	-2.205	0.058
♂	6	94.89	98.20	105.5	114.66	120.55	-1.927	0.060
♂	7	95.15	98.65	106.3	115.75	121.73	-1.646	0.062
♂	8	95.14	98.88	107.0	116.89	123.07	-1.360	0.065
♂	9	95.26	99.21	107.7	117.86	124.09	-1.086	0.067
♂	10	95.74	99.91	108.8	119.28	125.63	-0.866	0.069
♂	11	96.85	101.20	110.4	121.12	127.54	-0.706	0.070
♂	12	98.28	102.90	112.6	123.78	130.40	-0.540	0.072
♂	13	100.26	105.10	115.1	126.40	132.99	-0.324	0.072
♂	14	102.11	107.29	117.8	129.36	135.94	-0.018	0.073
♂	15	104.36	109.81	120.6	132.07	138.43	0.338	0.072
♂	16	106.35	112.17	123.4	134.94	141.17	0.706	0.072
♀	5	87.68	93.01	102.8	112.26	117.16	1.362	0.073
♀	6	89.42	94.50	104.1	113.71	118.80	0.987	0.072
♀	7	91.21	96.00	105.3	114.89	120.09	0.648	0.070
♀	8	92.70	97.34	106.5	116.18	121.52	0.378	0.069
♀	9	94.19	98.67	107.6	117.16	122.49	0.199	0.067
♀	10	95.40	99.84	108.7	118.24	123.57	0.134	0.066
♀	11	96.42	100.86	109.7	119.15	124.41	0.201	0.065
♀	12	97.15	101.72	110.7	120.16	125.37	0.378	0.065
♀	13	98.13	102.78	111.8	121.12	126.17	0.599	0.064
♀	14	99.00	103.75	112.8	121.96	126.85	0.854	0.063
♀	15	100.08	104.86	113.8	122.65	127.31	1.129	0.061
♀	16	101.43	106.13	114.8	123.21	127.57	1.400	0.058

SBP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	99.50	103.25	111.1	120.14	125.49	-0.862	0.059
♂	6	99.44	103.34	111.5	120.85	126.38	-0.751	0.061
♂	7	99.36	103.43	111.9	121.57	127.25	-0.631	0.063
♂	8	99.17	103.41	112.2	122.17	127.99	-0.503	0.065
♂	9	99.06	103.48	112.6	122.87	128.84	-0.381	0.067
♂	10	99.30	103.91	113.4	124.02	130.16	-0.276	0.069
♂	11	100.14	104.98	114.9	125.94	132.29	-0.177	0.071
♂	12	101.64	106.71	117.0	128.33	134.79	-0.041	0.072
♂	13	103.43	108.76	119.5	131.14	137.70	0.132	0.073
♂	14	105.61	111.20	122.3	134.09	140.63	0.348	0.073
♂	15	107.90	113.80	125.3	137.24	143.74	0.595	0.073
♂	16	110.06	116.29	128.2	140.28	146.73	0.851	0.073
♀	5	89.68	96.78	108.4	118.39	123.20	2.507	0.077
♀	6	92.20	98.55	109.5	119.42	124.33	2.041	0.074
♀	7	94.00	99.94	110.6	120.67	125.80	1.610	0.073
♀	8	95.70	101.24	111.5	121.54	126.77	1.244	0.071
♀	9	97.01	102.33	112.4	122.50	127.85	0.969	0.070
♀	10	98.19	103.37	113.3	123.40	128.82	0.805	0.069
♀	11	99.21	104.34	114.2	124.25	129.64	0.780	0.068
♀	12	100.06	105.31	115.3	125.40	130.79	0.878	0.068
♀	13	101.09	106.40	116.4	126.39	131.67	1.020	0.067
♀	14	102.32	107.62	117.5	127.21	132.28	1.207	0.065
♀	15	103.77	109.01	118.6	127.87	132.66	1.435	0.062
♀	16	105.18	110.31	119.6	128.43	132.94	1.668	0.059

SBP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	85.17	88.23	95.0	103.56	109.11	-1.929	0.062
♂	6	84.80	88.13	95.5	104.77	110.74	-1.658	0.067
♂	7	84.34	88.01	96.1	106.23	112.71	-1.386	0.073
♂	8	83.88	87.87	96.6	107.40	114.23	-1.116	0.078
♂	9	83.84	88.09	97.3	108.47	115.40	-0.856	0.081
♂	10	84.01	88.50	98.1	109.51	116.44	-0.616	0.083
♂	11	84.74	89.45	99.4	110.96	117.84	-0.391	0.084
♂	12	86.03	90.96	101.2	112.82	119.59	-0.171	0.084
♂	13	87.66	92.83	103.4	115.13	121.84	0.040	0.084
♂	14	89.61	94.99	105.8	117.51	124.09	0.248	0.083
♂	15	91.66	97.25	108.3	120.01	126.48	0.448	0.082
♂	16	94.01	99.74	110.9	122.48	128.77	0.641	0.080
♀	5	80.57	85.27	94.8	105.22	111.12	0.144	0.082
♀	6	81.29	85.97	95.6	106.35	112.55	-0.040	0.083
♀	7	81.96	86.59	96.2	107.12	113.49	-0.194	0.083
♀	8	82.42	87.06	96.8	107.98	114.58	-0.286	0.084
♀	9	83.01	87.69	97.5	108.77	115.42	-0.289	0.084
♀	10	83.51	88.28	98.2	109.49	116.09	-0.197	0.084
♀	11	84.15	89.02	99.0	110.12	116.51	-0.015	0.083
♀	12	84.80	89.75	99.7	110.46	116.51	0.241	0.081
♀	13	85.67	90.68	100.5	110.77	116.39	0.549	0.078
♀	14	86.72	91.74	101.3	110.95	116.10	0.898	0.074
♀	15	87.94	92.87	102.0	110.92	115.56	1.269	0.069
♀	16	89.20	94.08	102.9	111.26	115.52	1.639	0.065

DBP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	56.65	59.42	65.3	72.22	76.39	-0.661	0.076
♂	6	56.71	59.62	65.7	72.64	76.71	-0.342	0.077
♂	7	56.85	59.89	66.1	72.96	76.88	-0.014	0.077
♂	8	56.69	59.90	66.3	73.16	76.99	0.301	0.078
♂	9	56.67	59.99	66.5	73.29	76.99	0.574	0.078
♂	10	56.46	59.93	66.6	73.41	77.08	0.786	0.079
♂	11	56.60	60.15	66.9	73.70	77.31	0.932	0.079
♂	12	56.65	60.30	67.2	74.08	77.72	1.017	0.080
♂	13	56.79	60.47	67.4	74.29	77.93	1.050	0.080
♂	14	57.05	60.75	67.7	74.63	78.29	1.036	0.080
♂	15	57.56	61.21	68.1	74.99	78.64	1.000	0.079
♂	16	58.01	61.67	68.6	75.56	79.25	0.959	0.079
♀	5	55.76	59.07	65.5	72.16	75.78	0.646	0.078
♀	6	55.65	59.08	65.6	72.19	75.70	0.900	0.078
♀	7	55.62	59.17	65.8	72.33	75.75	1.148	0.078
♀	8	55.36	59.09	65.9	72.45	75.82	1.388	0.079
♀	9	55.09	59.00	66.0	72.57	75.90	1.611	0.080
♀	10	54.79	58.93	66.2	72.90	76.25	1.775	0.082
♀	11	54.58	58.90	66.4	73.26	76.68	1.832	0.084
♀	12	54.53	58.92	66.6	73.66	77.20	1.757	0.086
♀	13	55.09	59.36	67.0	74.17	77.81	1.571	0.086
♀	14	55.67	59.74	67.2	74.40	78.11	1.328	0.085
♀	15	56.58	60.38	67.5	74.57	78.29	1.075	0.082
♀	16	57.24	60.83	67.7	74.70	78.46	0.816	0.080

DBP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	61.09	65.00	72.1	78.88	82.36	1.477	0.075
♂	6	60.98	65.05	72.4	79.37	82.93	1.533	0.077
♂	7	60.70	64.93	72.5	79.64	83.27	1.583	0.079
♂	8	60.35	64.71	72.5	79.80	83.51	1.614	0.081
♂	9	59.86	64.33	72.3	79.75	83.53	1.622	0.083
♂	10	59.70	64.16	72.1	79.54	83.30	1.614	0.083
♂	11	59.66	64.09	72.0	79.44	83.22	1.576	0.083
♂	12	59.74	64.12	72.0	79.47	83.28	1.505	0.083
♂	13	60.02	64.34	72.2	79.72	83.59	1.407	0.083
♂	14	60.56	64.76	72.5	80.01	83.91	1.279	0.082
♂	15	61.14	65.28	73.0	80.62	84.62	1.123	0.082
♂	16	61.59	65.70	73.5	81.34	85.50	0.957	0.083
♀	5	59.72	64.38	72.6	80.24	84.10	1.670	0.085
♀	6	59.60	64.33	72.6	80.21	84.02	1.765	0.085
♀	7	59.31	64.10	72.4	79.95	83.71	1.861	0.085
♀	8	58.84	63.77	72.2	79.78	83.52	1.962	0.086
♀	9	58.53	63.54	72.0	79.52	83.20	2.066	0.086
♀	10	58.07	63.21	71.8	79.35	83.03	2.146	0.087
♀	11	57.99	63.18	71.8	79.33	82.99	2.195	0.087
♀	12	58.21	63.44	72.1	79.66	83.33	2.210	0.087
♀	13	58.48	63.71	72.4	79.99	83.69	2.192	0.087
♀	14	59.39	64.40	72.8	80.20	83.81	2.169	0.084
♀	15	60.45	65.19	73.2	80.30	83.78	2.158	0.080
♀	16	61.42	65.89	73.5	80.30	83.64	2.148	0.076

DBP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	47.67	49.84	55.0	62.42	67.97	-2.245	0.086
♂	6	47.35	49.71	55.3	63.19	68.93	-1.884	0.092
♂	7	46.89	49.47	55.5	63.80	69.65	-1.520	0.098
♂	8	46.53	49.32	55.7	64.18	69.92	-1.155	0.102
♂	9	46.13	49.11	55.8	64.35	69.89	-0.813	0.105
♂	10	45.80	48.93	55.8	64.23	69.50	-0.505	0.106
♂	11	45.72	48.96	55.9	64.09	69.02	-0.229	0.105
♂	12	45.64	49.00	56.0	63.97	68.62	0.031	0.104
♂	13	45.65	49.15	56.3	64.18	68.66	0.270	0.104
♂	14	45.79	49.36	56.5	64.14	68.38	0.483	0.102
♂	15	46.01	49.67	56.8	64.22	68.26	0.694	0.100
♂	16	46.23	49.97	57.1	64.31	68.16	0.908	0.098
♀	5	44.43	48.29	56.4	65.68	71.12	0.122	0.120
♀	6	44.13	47.93	55.9	65.02	70.36	0.119	0.119
♀	7	43.80	47.58	55.5	64.55	69.84	0.129	0.119
♀	8	43.38	47.17	55.1	64.15	69.44	0.142	0.120
♀	9	43.06	46.85	54.8	63.89	69.20	0.141	0.121
♀	10	42.92	46.69	54.6	63.66	68.97	0.125	0.121
♀	11	42.72	46.45	54.3	63.34	68.65	0.096	0.121
♀	12	42.87	46.51	54.2	63.10	68.36	0.043	0.119
♀	13	43.40	46.88	54.3	62.96	68.12	-0.051	0.115
♀	14	44.19	47.47	54.5	62.78	67.76	-0.174	0.109
♀	15	45.23	48.30	54.9	62.74	67.49	-0.316	0.102
♀	16	46.17	49.07	55.3	62.77	67.34	-0.467	0.096

MAP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	68.05	70.75	76.9	85.05	90.61	-2.063	0.071
♂	6	68.79	71.60	77.9	86.03	91.40	-1.772	0.071
♂	7	69.33	72.25	78.7	86.77	91.93	-1.447	0.071
♂	8	69.54	72.62	79.3	87.39	92.42	-1.078	0.072
♂	9	69.51	72.78	79.7	87.78	92.62	-0.651	0.073
♂	10	69.34	72.90	80.2	88.35	93.05	-0.146	0.075
♂	11	69.26	73.14	80.8	88.88	93.34	0.443	0.076
♂	12	69.25	73.59	81.7	89.72	93.93	1.119	0.077
♂	13	69.13	74.06	82.7	90.65	94.64	1.822	0.078
♂	14	69.08	74.68	83.8	91.61	95.37	2.525	0.078
♂	15	68.95	75.43	85.1	92.80	96.36	3.222	0.078
♂	16	68.86	76.29	86.4	93.92	97.28	3.919	0.077
♀	5	66.98	70.43	77.2	84.28	88.16	0.487	0.070
♀	6	67.23	70.86	77.8	84.82	88.57	0.864	0.070
♀	7	67.12	71.00	78.2	85.24	88.91	1.239	0.071
♀	8	67.14	71.23	78.6	85.56	89.11	1.618	0.071
♀	9	67.11	71.45	79.0	85.89	89.32	2.001	0.071
♀	10	67.08	71.67	79.4	86.22	89.56	2.352	0.071
♀	11	66.97	71.88	79.9	86.78	90.08	2.640	0.072
♀	12	67.00	72.21	80.5	87.46	90.77	2.836	0.073
♀	13	67.19	72.65	81.2	88.28	91.62	2.957	0.074
♀	14	67.61	73.22	81.9	89.01	92.34	3.061	0.074
♀	15	68.08	73.74	82.4	89.43	92.71	3.183	0.073
♀	16	68.64	74.35	83.0	89.96	93.19	3.302	0.072

MAP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	73.03	76.47	83.5	91.27	95.71	-0.132	0.069
♂	6	73.18	76.79	84.1	92.11	96.66	-0.007	0.071
♂	7	73.14	76.91	84.5	92.74	97.37	0.127	0.073
♂	8	72.84	76.83	84.8	93.36	98.13	0.272	0.076
♂	9	72.47	76.65	84.9	93.62	98.44	0.442	0.078
♂	10	72.17	76.53	85.0	93.74	98.48	0.682	0.079
♂	11	71.93	76.56	85.3	94.05	98.68	0.998	0.080
♂	12	71.81	76.80	85.9	94.65	99.16	1.378	0.081
♂	13	71.87	77.28	86.8	95.59	100.00	1.755	0.082
♂	14	72.09	78.01	88.0	96.86	101.20	2.117	0.083
♂	15	72.62	79.03	89.4	98.26	102.51	2.464	0.083
♂	16	72.81	79.88	90.8	99.76	103.96	2.806	0.084
♀	5	70.26	74.99	83.7	92.17	96.56	1.277	0.080
♀	6	70.39	75.19	83.9	92.21	96.46	1.465	0.079
♀	7	70.42	75.30	84.0	92.14	96.26	1.656	0.078
♀	8	70.45	75.41	84.1	92.08	96.07	1.857	0.077
♀	9	70.47	75.52	84.2	92.01	95.88	2.066	0.076
♀	10	70.36	75.60	84.4	92.16	95.95	2.274	0.076
♀	11	70.34	75.77	84.7	92.42	96.15	2.474	0.076
♀	12	70.47	76.12	85.2	92.91	96.59	2.663	0.076
♀	13	70.53	76.51	85.9	93.71	97.39	2.843	0.077
♀	14	70.96	77.07	86.5	94.21	97.82	3.026	0.076
♀	15	71.11	77.49	87.1	94.80	98.37	3.219	0.076
♀	16	71.51	78.06	87.7	95.30	98.79	3.415	0.075

MAP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	58.46	60.94	66.7	74.67	80.35	-2.191	0.078
♂	6	58.96	61.59	67.7	76.03	81.87	-1.955	0.081
♂	7	59.33	62.14	68.6	77.26	83.21	-1.696	0.084
♂	8	59.48	62.46	69.2	78.00	83.86	-1.393	0.086
♂	9	59.48	62.65	69.7	78.58	84.29	-1.040	0.088
♂	10	59.22	62.62	70.0	78.91	84.39	-0.631	0.090
♂	11	59.12	62.80	70.5	79.30	84.47	-0.147	0.091
♂	12	59.13	63.17	71.2	79.78	84.54	0.437	0.091
♂	13	59.41	63.83	72.1	80.28	84.58	1.097	0.089
♂	14	59.83	64.66	73.1	80.84	84.71	1.777	0.086
♂	15	60.30	65.52	74.0	81.25	84.73	2.469	0.082
♂	16	61.01	66.54	74.9	81.62	84.73	3.164	0.077
♀	5	57.11	61.00	68.7	76.85	81.34	0.507	0.090
♀	6	57.03	60.99	68.8	77.03	81.56	0.549	0.091
♀	7	56.83	60.87	68.8	77.09	81.63	0.617	0.092
♀	8	56.47	60.66	68.8	77.23	81.80	0.711	0.094
♀	9	56.29	60.60	68.9	77.38	81.93	0.824	0.095
♀	10	56.14	60.62	69.1	77.62	82.14	0.970	0.096
♀	11	55.91	60.59	69.3	77.83	82.29	1.160	0.097
♀	12	55.80	60.72	69.6	78.05	82.38	1.399	0.097
♀	13	56.08	61.18	70.1	78.31	82.43	1.676	0.095
♀	14	56.32	61.63	70.6	78.57	82.49	1.977	0.093
♀	15	56.81	62.28	71.2	78.87	82.57	2.287	0.090
♀	16	57.13	62.83	71.8	79.27	82.80	2.593	0.088

HR_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	76.82	82.04	92.3	103.09	109.02	0.558	0.089
♂	6	74.79	80.19	90.7	101.57	107.47	0.709	0.092
♂	7	73.02	78.56	89.2	100.05	105.87	0.840	0.094
♂	8	71.09	76.77	87.6	98.55	104.39	0.912	0.097
♂	9	69.50	75.17	86.0	96.98	102.85	0.893	0.099
♂	10	67.97	73.54	84.3	95.35	101.31	0.795	0.101
♂	11	66.80	72.16	82.7	93.77	99.84	0.626	0.102
♂	12	65.60	70.72	81.0	92.10	98.32	0.419	0.103
♂	13	64.34	69.20	79.2	90.34	96.74	0.186	0.104
♂	14	63.05	67.63	77.3	88.52	95.17	-0.101	0.105
♂	15	62.01	66.25	75.5	86.74	93.70	-0.450	0.105
♂	16	60.83	64.79	73.7	85.11	92.54	-0.815	0.106
♀	5	79.31	84.02	93.7	104.48	110.67	0.010	0.085
♀	6	78.16	82.65	91.9	102.25	108.22	-0.056	0.083
♀	7	75.64	80.35	90.2	101.46	108.07	-0.145	0.091
♀	8	74.17	78.80	88.6	100.02	106.83	-0.280	0.093
♀	9	72.87	77.43	87.2	98.80	105.83	-0.408	0.095
♀	10	71.50	76.03	85.8	97.51	104.68	-0.457	0.097
♀	11	70.17	74.68	84.4	96.03	103.12	-0.423	0.098
♀	12	68.81	73.34	83.1	94.78	101.92	-0.400	0.100
♀	13	67.65	72.12	81.8	93.45	100.60	-0.430	0.101
♀	14	66.61	71.04	80.6	92.05	99.04	-0.391	0.101
♀	15	65.39	69.85	79.4	90.73	97.59	-0.303	0.102
♀	16	64.17	68.65	78.2	89.40	96.12	-0.212	0.103

HR_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	83.81	90.39	101.6	111.62	116.55	2.069	0.081
♂	6	81.24	88.00	99.7	110.34	115.63	1.848	0.087
♂	7	79.00	85.80	97.8	108.94	114.55	1.627	0.092
♂	8	76.71	83.48	95.7	107.32	113.26	1.406	0.097
♂	9	74.68	81.27	93.5	105.49	111.75	1.154	0.101
♂	10	72.68	79.08	91.2	103.38	109.85	0.964	0.104
♂	11	70.94	77.04	88.9	101.18	107.85	0.743	0.106
♂	12	69.28	75.10	86.7	99.10	105.98	0.522	0.108
♂	13	67.54	73.08	84.4	96.90	104.01	0.301	0.110
♂	14	65.79	71.06	82.1	94.69	102.06	0.081	0.112
♂	15	64.04	69.06	79.8	92.49	100.14	-0.141	0.114
♂	16	62.37	67.14	77.6	90.41	98.38	-0.361	0.116
♀	5	86.85	92.73	103.7	114.53	120.21	1.128	0.082
♀	6	84.52	90.25	101.2	112.29	118.22	0.881	0.085
♀	7	82.12	87.77	98.8	110.30	116.57	0.639	0.089
♀	8	79.93	85.43	96.4	108.16	114.71	0.412	0.092
♀	9	78.02	83.32	94.2	106.30	113.24	0.126	0.095
♀	10	75.91	81.19	92.1	104.37	111.47	0.066	0.098
♀	11	74.08	79.29	90.2	102.71	110.07	-0.057	0.101
♀	12	72.59	77.68	88.5	101.15	108.72	-0.185	0.103
♀	13	71.29	76.27	87.0	99.84	107.66	-0.328	0.105
♀	14	70.18	75.02	85.6	98.48	106.46	-0.447	0.106
♀	15	69.09	73.85	84.3	97.19	105.28	-0.526	0.107
♀	16	67.97	72.65	83.0	95.87	104.01	-0.571	0.108

HR_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	61.03	65.56	75.6	88.08	95.96	-0.478	0.115
♂	6	59.57	64.23	74.5	87.17	95.10	-0.376	0.119
♂	7	58.12	62.91	73.4	86.24	94.20	-0.276	0.123
♂	8	56.78	61.66	72.3	85.18	93.08	-0.182	0.126
♂	9	55.55	60.52	71.3	84.24	92.12	-0.104	0.129
♂	10	54.39	59.39	70.2	83.09	90.89	-0.048	0.131
♂	11	53.45	58.44	69.2	81.97	89.67	-0.014	0.132
♂	12	52.64	57.58	68.2	80.76	88.32	0.006	0.132
♂	13	51.58	56.48	67.0	79.42	86.88	0.026	0.133
♂	14	50.56	55.35	65.6	77.64	84.83	0.050	0.132
♂	15	49.43	54.15	64.2	75.95	82.94	0.079	0.132
♂	16	48.32	52.93	62.7	74.05	80.76	0.112	0.131
♀	5	61.18	66.36	77.5	90.72	98.71	-0.096	0.122
♀	6	60.40	65.41	76.3	89.43	97.47	-0.195	0.122
♀	7	59.69	64.54	75.2	88.26	96.37	-0.299	0.122
♀	8	59.07	63.77	74.2	87.22	95.44	-0.413	0.122
♀	9	58.51	63.07	73.3	86.28	94.62	-0.518	0.122
♀	10	57.79	62.27	72.4	85.43	93.91	-0.591	0.123
♀	11	57.02	61.45	71.5	84.52	93.05	-0.621	0.124
♀	12	56.02	60.42	70.4	83.32	91.78	-0.607	0.125
♀	13	54.89	59.28	69.2	81.95	90.23	-0.547	0.126
♀	14	53.61	58.04	68.0	80.63	88.73	-0.446	0.128
♀	15	52.49	56.96	66.9	79.30	87.13	-0.336	0.129
♀	16	51.36	55.90	65.9	78.21	85.88	-0.235	0.131

bp_wuehl_height.ref

Citations

• Wühl E, Witte K, Soergel M, Mehls O, Schaefer F, Hypertension for the GWG on P. Distribution of 24-h ambulatory blood pressure in children: normalized reference values and role of body dimensions. Journal of Hypertension. 2002 Oct;20(10):1995.

SBP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	93.09	96.73	104.5	113.73	119.36	-1.123	0.063
♂	125	93.56	97.32	105.3	114.70	120.39	-0.991	0.064
♂	130	94.10	97.99	106.2	115.79	121.54	-0.856	0.065
♂	135	94.72	98.75	107.2	116.97	122.78	-0.709	0.066
♂	140	95.58	99.71	108.3	118.10	123.86	-0.556	0.066
♂	145	96.35	100.64	109.5	119.50	125.32	-0.406	0.067
♂	150	97.48	101.88	110.9	120.97	126.77	-0.275	0.067
♂	155	98.79	103.30	112.5	122.66	128.46	-0.155	0.067
♂	160	100.16	104.81	114.2	124.45	130.24	-0.017	0.067
♂	165	101.88	106.62	116.1	126.28	131.97	0.154	0.066
♂	170	103.34	108.28	118.0	128.25	133.88	0.378	0.066
♂	175	105.02	110.02	119.7	129.66	135.04	0.651	0.064
♂	180	106.55	111.71	121.5	131.33	136.55	0.942	0.063
♂	185	108.25	113.47	123.2	132.74	137.73	1.240	0.061
♀	120	92.26	96.26	104.0	111.98	116.31	0.593	0.059
♀	125	92.98	97.07	105.0	113.21	117.67	0.553	0.060
♀	130	93.88	98.00	106.0	114.30	118.81	0.535	0.060
♀	135	94.36	98.59	106.8	115.29	119.90	0.566	0.061
♀	140	94.80	99.17	107.6	116.27	120.94	0.657	0.062
♀	145	95.66	100.13	108.7	117.41	122.07	0.797	0.062
♀	150	96.35	101.04	109.9	118.78	123.49	0.973	0.063
♀	155	97.52	102.29	111.2	119.97	124.56	1.194	0.062
♀	160	98.77	103.59	112.4	120.89	125.27	1.485	0.060
♀	165	100.09	104.97	113.7	121.91	126.07	1.834	0.058
♀	170	101.68	106.52	115.0	122.79	126.67	2.210	0.055
♀	175	103.40	108.19	116.4	123.78	127.41	2.601	0.052

SBP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	97.82	101.90	110.8	121.71	128.55	-1.291	0.069
♂	125	97.87	102.08	111.1	121.88	128.48	-1.007	0.069
♂	130	97.99	102.34	111.5	122.16	128.54	-0.710	0.069
♂	135	98.35	102.80	112.0	122.38	128.42	-0.380	0.068
♂	140	98.89	103.46	112.7	122.84	128.60	-0.075	0.067
♂	145	99.61	104.30	113.7	123.84	129.53	0.117	0.067
♂	150	100.83	105.58	115.1	125.36	131.11	0.125	0.067
♂	155	102.65	107.34	116.8	127.12	132.96	-0.031	0.066
♂	160	104.23	108.94	118.6	129.35	135.54	-0.251	0.067
♂	165	105.94	110.71	120.6	131.80	138.34	-0.431	0.068
♂	170	107.53	112.42	122.6	134.18	140.98	-0.463	0.069
♂	175	109.02	114.03	124.4	136.10	142.92	-0.373	0.069
♂	180	110.48	115.63	126.2	138.00	144.80	-0.244	0.069
♂	185	111.91	117.21	128.0	139.89	146.67	-0.098	0.069
♀	120	95.85	100.99	110.0	118.26	122.38	2.107	0.061
♀	125	96.19	101.36	110.5	118.97	123.23	1.947	0.062
♀	130	96.53	101.72	111.0	119.69	124.09	1.804	0.063
♀	135	96.93	102.17	111.6	120.51	125.05	1.686	0.064
♀	140	97.32	102.61	112.2	121.33	126.01	1.583	0.065
♀	145	97.97	103.33	113.1	122.48	127.31	1.480	0.066
♀	150	99.13	104.47	114.3	123.82	128.76	1.367	0.066
♀	155	100.38	105.71	115.6	125.27	130.32	1.259	0.066
♀	160	102.11	107.31	117.0	126.51	131.48	1.220	0.064
♀	165	104.16	109.11	118.3	127.31	132.01	1.261	0.060
♀	170	106.64	111.25	119.8	128.15	132.50	1.332	0.055
♀	175	109.07	113.33	121.2	128.87	132.85	1.410	0.050

SBP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	80.54	84.83	93.6	103.33	108.91	-0.053	0.077
♂	125	81.33	85.63	94.6	104.85	110.87	-0.314	0.079
♂	130	82.27	86.53	95.6	106.25	112.67	-0.570	0.080
♂	135	83.28	87.53	96.7	107.77	114.61	-0.807	0.081
♂	140	84.34	88.59	97.9	109.39	116.64	-0.997	0.082
♂	145	85.39	89.63	99.0	110.70	118.16	-1.106	0.082
♂	150	86.50	90.74	100.1	111.78	119.23	-1.126	0.081
♂	155	87.48	91.80	101.3	113.08	120.55	-1.068	0.081
♂	160	88.65	93.04	102.6	114.28	121.58	-0.948	0.080
♂	165	89.96	94.44	104.1	115.69	122.80	-0.795	0.079
♂	170	91.09	95.73	105.6	117.24	124.28	-0.626	0.079
♂	175	92.47	97.21	107.2	118.75	125.60	-0.451	0.078
♂	180	93.58	98.49	108.7	120.30	127.08	-0.277	0.078
♂	185	94.69	99.77	110.2	121.85	128.55	-0.100	0.078
♀	120	81.40	86.25	95.0	103.32	107.57	1.565	0.070
♀	125	82.20	86.92	95.7	104.34	108.86	1.184	0.071
♀	130	82.79	87.46	96.4	105.49	110.36	0.823	0.073
♀	135	83.16	87.80	96.9	106.43	111.65	0.518	0.075
♀	140	83.56	88.21	97.5	107.46	113.02	0.292	0.077
♀	145	83.86	88.58	98.1	108.46	114.30	0.167	0.079
♀	150	84.35	89.17	98.9	109.47	115.43	0.186	0.080
♀	155	85.25	90.19	100.0	110.45	116.24	0.378	0.079
♀	160	86.14	91.25	101.1	111.20	116.64	0.745	0.077
♀	165	87.27	92.51	102.2	111.64	116.56	1.272	0.073
♀	170	88.20	93.71	103.4	112.33	116.80	1.903	0.070
♀	175	88.84	94.77	104.6	113.15	117.30	2.579	0.068

DBP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	56.16	59.08	65.6	73.93	79.35	-1.177	0.087
♂	125	56.27	59.28	65.9	74.15	79.38	-0.957	0.087
♂	130	56.29	59.38	66.1	74.25	79.31	-0.733	0.087
♂	135	56.49	59.65	66.4	74.38	79.20	-0.511	0.086
♂	140	56.52	59.76	66.6	74.51	79.20	-0.322	0.086
♂	145	56.77	60.06	66.9	74.68	79.23	-0.183	0.085
♂	150	57.00	60.29	67.1	74.77	79.22	-0.107	0.084
♂	155	57.19	60.46	67.2	74.79	79.19	-0.110	0.083
♂	160	57.34	60.57	67.3	74.93	79.39	-0.189	0.083
♂	165	57.71	60.87	67.5	75.12	79.61	-0.324	0.082
♂	170	58.01	61.09	67.6	75.19	79.74	-0.479	0.081
♂	175	58.39	61.39	67.8	75.38	79.98	-0.635	0.080
♂	180	58.86	61.76	68.0	75.46	80.03	-0.785	0.078
♂	185	59.22	62.06	68.2	75.64	80.25	-0.932	0.077
♀	120	56.13	59.88	65.9	70.99	73.41	2.996	0.065
♀	125	55.43	59.44	65.9	71.39	74.02	2.790	0.070
♀	130	54.85	59.09	66.0	71.91	74.75	2.592	0.075
♀	135	54.29	58.76	66.1	72.44	75.51	2.407	0.080
♀	140	53.93	58.54	66.2	72.91	76.17	2.221	0.084
♀	145	53.81	58.44	66.3	73.32	76.77	2.006	0.087
♀	150	54.01	58.56	66.5	73.79	77.44	1.743	0.089
♀	155	54.85	59.07	66.7	73.97	77.69	1.435	0.087
♀	160	56.02	59.84	67.0	74.09	77.83	1.088	0.083
♀	165	57.34	60.77	67.4	74.24	77.94	0.700	0.078
♀	170	59.00	62.01	68.0	74.39	77.94	0.285	0.071
♀	175	60.58	63.23	68.6	74.50	77.85	-0.136	0.064

DBP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	59.57	64.07	72.3	80.22	84.30	1.345	0.087
♂	125	59.61	64.13	72.3	80.09	84.08	1.436	0.086
♂	130	59.41	63.99	72.2	79.94	83.88	1.531	0.086
♂	135	59.36	63.95	72.1	79.70	83.55	1.629	0.085
♂	140	59.59	64.11	72.1	79.50	83.23	1.711	0.083
♂	145	59.69	64.19	72.1	79.40	83.06	1.763	0.082
♂	150	59.83	64.28	72.1	79.31	82.92	1.777	0.081
♂	155	60.04	64.40	72.1	79.23	82.82	1.740	0.080
♂	160	60.06	64.43	72.2	79.46	83.13	1.650	0.081
♂	165	60.30	64.58	72.3	79.62	83.36	1.509	0.081
♂	170	60.59	64.83	72.6	80.10	83.98	1.329	0.082
♂	175	60.96	65.09	72.8	80.40	84.38	1.136	0.082
♂	180	61.27	65.35	73.1	80.90	85.05	0.939	0.083
♂	185	61.72	65.70	73.4	81.31	85.59	0.741	0.083
♀	120	61.22	65.60	73.2	80.11	83.55	1.952	0.077
♀	125	60.42	64.95	72.8	79.94	83.50	1.915	0.080
♀	130	59.62	64.30	72.4	79.77	83.44	1.881	0.083
♀	135	58.74	63.64	72.1	79.79	83.62	1.851	0.087
♀	140	58.02	63.07	71.8	79.72	83.66	1.832	0.090
♀	145	57.61	62.78	71.7	79.78	83.79	1.828	0.092
♀	150	57.68	62.87	71.8	79.89	83.90	1.836	0.092
♀	155	58.16	63.24	72.0	79.94	83.88	1.846	0.090
♀	160	59.35	64.11	72.4	79.96	83.73	1.835	0.085
♀	165	61.30	65.57	73.1	80.05	83.54	1.799	0.077
♀	170	63.34	67.13	73.9	80.24	83.44	1.739	0.069
♀	175	65.46	68.79	74.8	80.50	83.41	1.671	0.061

DBP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	45.29	48.30	54.3	60.69	64.24	0.440	0.089
♂	125	45.42	48.55	54.8	61.48	65.19	0.430	0.092
♂	130	45.39	48.63	55.1	62.05	65.92	0.421	0.095
♂	135	45.44	48.79	55.5	62.73	66.77	0.410	0.098
♂	140	45.50	48.92	55.8	63.23	67.39	0.398	0.100
♂	145	45.57	49.03	56.0	63.54	67.76	0.391	0.101
♂	150	45.73	49.21	56.2	63.76	68.00	0.395	0.101
♂	155	45.71	49.20	56.2	63.75	67.98	0.413	0.101
♂	160	45.86	49.34	56.3	63.77	67.94	0.442	0.100
♂	165	46.08	49.56	56.5	63.90	68.01	0.487	0.099
♂	170	46.38	49.85	56.7	63.94	67.93	0.556	0.097
♂	175	46.56	50.05	56.9	64.05	67.96	0.647	0.096
♂	180	46.83	50.33	57.1	64.08	67.85	0.755	0.094
♂	185	46.98	50.52	57.3	64.18	67.86	0.871	0.093
♀	120	42.47	47.14	55.4	63.10	66.99	1.491	0.112
♀	125	42.39	46.97	55.3	63.30	67.42	1.276	0.115
♀	130	42.23	46.72	55.1	63.39	67.74	1.075	0.118
♀	135	42.09	46.45	54.8	63.30	67.84	0.891	0.120
♀	140	42.12	46.33	54.6	63.26	67.99	0.705	0.121
♀	145	42.27	46.29	54.4	63.16	68.07	0.497	0.121
♀	150	42.75	46.53	54.3	62.97	67.94	0.279	0.118
♀	155	43.35	46.88	54.3	62.79	67.77	0.074	0.114
♀	160	44.10	47.46	54.6	62.92	67.88	-0.091	0.110
♀	165	44.79	48.01	54.9	63.01	67.88	-0.200	0.106
♀	170	45.51	48.57	55.1	62.77	67.38	-0.261	0.100
♀	175	45.87	48.91	55.4	63.05	67.65	-0.296	0.099

MAP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	67.89	70.83	77.5	86.23	92.09	-1.747	0.076
♂	125	68.19	71.27	78.1	86.70	92.23	-1.352	0.076
♂	130	68.47	71.70	78.7	87.17	92.41	-0.951	0.076
♂	135	68.72	72.12	79.3	87.65	92.63	-0.547	0.076
♂	140	69.09	72.63	79.9	88.02	92.70	-0.148	0.075
♂	145	69.17	72.95	80.5	88.64	93.19	0.235	0.076
♂	150	69.39	73.36	81.1	89.16	93.55	0.589	0.076
♂	155	69.61	73.78	81.7	89.69	93.94	0.914	0.076
♂	160	69.66	74.09	82.3	90.34	94.53	1.217	0.077
♂	165	70.02	74.68	83.1	91.11	95.20	1.509	0.077
♂	170	70.35	75.26	83.9	91.88	95.88	1.805	0.077
♂	175	70.42	75.71	84.7	92.74	96.70	2.110	0.078
♂	180	70.64	76.25	85.5	93.51	97.37	2.423	0.078
♂	185	70.56	76.65	86.3	94.37	98.19	2.737	0.079
♀	120	66.42	70.31	77.2	83.60	86.83	1.848	0.067
♀	125	66.65	70.70	77.8	84.31	87.57	1.976	0.068
♀	130	66.78	71.00	78.3	84.91	88.20	2.103	0.069
♀	135	66.62	71.09	78.7	85.50	88.84	2.236	0.071
♀	140	66.51	71.25	79.2	86.18	89.59	2.366	0.073
♀	145	66.59	71.53	79.7	86.79	90.21	2.479	0.074
♀	150	66.86	71.93	80.2	87.30	90.71	2.591	0.074
♀	155	67.37	72.52	80.8	87.81	91.16	2.751	0.073
♀	160	67.88	73.17	81.5	88.43	91.70	2.967	0.072
♀	165	68.92	74.17	82.3	88.96	92.08	3.214	0.069
♀	170	70.00	75.18	83.1	89.50	92.47	3.466	0.066
♀	175	70.93	76.17	84.0	90.23	93.10	3.728	0.064

MAP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	71.38	75.48	83.8	92.90	98.05	0.135	0.081
♂	125	71.56	75.75	84.1	93.00	97.95	0.368	0.080
♂	130	71.65	75.94	84.3	93.00	97.75	0.604	0.079
♂	135	71.74	76.12	84.5	93.01	97.57	0.844	0.078
♂	140	71.83	76.31	84.7	93.03	97.41	1.083	0.077
♂	145	72.02	76.59	85.0	93.16	97.39	1.309	0.076
♂	150	72.14	76.86	85.4	93.52	97.68	1.509	0.076
♂	155	72.28	77.14	85.8	93.90	98.00	1.680	0.076
♂	160	72.61	77.61	86.4	94.50	98.57	1.829	0.076
♂	165	72.62	77.93	87.1	95.42	99.56	1.963	0.078
♂	170	72.77	78.41	88.0	96.57	100.78	2.092	0.080
♂	175	72.95	78.96	89.0	97.81	102.11	2.226	0.082
♂	180	73.06	79.49	90.0	99.06	103.43	2.364	0.084
♂	185	72.86	79.85	91.0	100.40	104.88	2.503	0.087
♀	120	70.08	74.94	83.3	90.83	94.55	2.092	0.074
♀	125	70.08	75.09	83.7	91.48	95.33	2.039	0.076
♀	130	70.17	75.25	84.0	91.91	95.83	2.014	0.077
♀	135	69.83	75.09	84.1	92.21	96.22	2.032	0.079
♀	140	69.70	75.11	84.3	92.50	96.54	2.099	0.080
♀	145	69.69	75.22	84.5	92.68	96.67	2.217	0.080
♀	150	69.95	75.60	84.9	92.95	96.84	2.404	0.079
♀	155	70.46	76.24	85.5	93.32	97.05	2.684	0.077
♀	160	71.19	77.08	86.2	93.69	97.20	3.042	0.074
♀	165	72.26	78.15	87.0	94.07	97.35	3.442	0.070
♀	170	74.15	79.74	88.0	94.50	97.48	3.852	0.064
♀	175	75.81	81.14	88.9	94.92	97.66	4.268	0.059

MAP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	58.31	60.79	66.8	75.88	83.14	-2.736	0.084
♂	125	58.71	61.34	67.6	76.63	83.41	-2.305	0.085
♂	130	58.99	61.79	68.3	77.27	83.62	-1.867	0.086
♂	135	59.22	62.21	69.0	77.90	83.86	-1.411	0.087
♂	140	59.41	62.60	69.6	78.30	83.80	-0.932	0.087
♂	145	59.46	62.87	70.1	78.58	83.68	-0.427	0.087
♂	150	59.45	63.12	70.6	78.88	83.62	0.092	0.087
♂	155	59.59	63.52	71.2	79.21	83.58	0.620	0.086
♂	160	59.75	64.00	71.9	79.67	83.73	1.159	0.085
♂	165	59.92	64.55	72.7	80.25	84.05	1.706	0.084
♂	170	60.26	65.27	73.6	80.87	84.41	2.269	0.082
♂	175	60.53	66.00	74.5	81.51	84.81	2.843	0.080
♂	180	60.74	66.72	75.4	82.17	85.26	3.425	0.078
♂	185	61.11	67.51	76.2	82.65	85.54	4.010	0.075
♀	120	55.87	59.89	68.0	76.81	81.76	0.335	0.097
♀	125	56.07	60.11	68.2	76.90	81.75	0.410	0.096
♀	130	56.16	60.26	68.4	77.09	81.90	0.477	0.096
♀	135	56.16	60.31	68.5	77.16	81.93	0.553	0.096
♀	140	56.08	60.35	68.7	77.42	82.19	0.650	0.097
♀	145	56.17	60.54	69.0	77.69	82.39	0.778	0.097
♀	150	56.18	60.71	69.3	77.94	82.53	0.955	0.097
♀	155	56.53	61.19	69.8	78.20	82.57	1.202	0.095
♀	160	56.88	61.73	70.4	78.55	82.70	1.514	0.093
♀	165	57.31	62.42	71.2	79.12	83.05	1.871	0.091
♀	170	57.70	63.11	72.0	79.69	83.41	2.249	0.089
♀	175	58.05	63.80	72.8	80.27	83.81	2.638	0.087

HR_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	72.00	78.44	89.9	100.62	106.06	1.535	0.096
♂	125	70.94	77.32	88.8	99.67	105.23	1.429	0.098
♂	130	69.86	76.14	87.6	98.62	104.31	1.300	0.100
♂	135	69.09	75.19	86.5	97.59	103.39	1.152	0.101
♂	140	68.36	74.25	85.4	96.58	102.50	0.981	0.102
♂	145	67.73	73.35	84.2	95.35	101.37	0.794	0.102
♂	150	66.85	72.25	82.9	94.13	100.30	0.601	0.103
♂	155	66.11	71.25	81.6	92.80	99.08	0.401	0.103
♂	160	65.29	70.17	80.2	91.37	97.78	0.183	0.103
♂	165	64.25	68.94	78.7	89.77	96.22	0.046	0.103
♂	170	63.41	67.80	77.2	88.30	94.99	-0.261	0.103
♂	175	62.41	66.59	75.7	86.74	93.56	-0.458	0.103
♂	180	61.29	65.28	74.1	85.06	91.99	-0.643	0.103
♂	185	60.32	64.14	72.7	83.60	90.66	-0.824	0.103
♀	120	75.76	81.13	91.6	102.49	108.41	0.668	0.091
♀	125	74.30	79.58	90.0	101.03	107.11	0.528	0.093
♀	130	73.52	78.42	88.5	99.78	106.28	0.070	0.094
♀	135	71.95	77.01	87.2	98.25	104.46	0.336	0.095
♀	140	70.88	75.94	86.2	97.39	103.71	0.299	0.097
♀	145	69.91	74.91	85.1	96.31	102.68	0.240	0.098
♀	150	69.19	74.10	84.2	95.50	102.01	0.117	0.099
♀	155	68.48	73.23	83.2	94.63	101.35	-0.068	0.100
♀	160	67.79	72.36	82.1	93.51	100.35	-0.238	0.100
♀	165	65.99	70.41	79.9	91.22	98.11	-0.360	0.101
♀	170	65.18	69.50	78.9	90.30	97.34	-0.475	0.102
♀	175	65.31	69.56	78.9	90.40	97.60	-0.590	0.102

HR_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	81.06	89.39	102.9	114.46	120.02	2.268	0.094
♂	125	79.51	87.55	101.0	112.86	118.66	2.000	0.097
♂	130	78.09	85.82	99.2	111.37	117.44	1.729	0.100
♂	135	76.73	84.19	97.5	110.00	116.35	1.473	0.103
♂	140	75.48	82.61	95.7	108.39	114.96	1.233	0.105
♂	145	73.81	80.59	93.4	106.21	112.98	1.002	0.107
♂	150	73.07	79.55	92.1	105.03	112.02	0.785	0.108
♂	155	71.79	78.03	90.4	103.51	110.75	0.587	0.110
♂	160	70.48	76.51	88.7	101.98	109.46	0.406	0.112
♂	165	69.36	75.16	87.1	100.42	108.06	0.248	0.113
♂	170	67.95	73.60	85.4	98.83	106.66	0.123	0.115
♂	175	66.58	72.11	83.8	97.33	105.32	0.028	0.117
♂	180	65.32	70.71	82.2	95.68	103.73	-0.052	0.118
♂	185	64.05	69.30	80.6	94.02	102.13	-0.127	0.119
♀	120	81.90	88.61	100.7	112.15	117.99	1.462	0.091
♀	125	80.49	86.85	98.7	110.38	116.50	1.123	0.093
♀	130	78.71	84.84	96.6	108.60	115.04	0.839	0.096
♀	135	77.01	82.98	94.7	107.00	113.74	0.620	0.099
♀	140	75.41	81.21	92.8	105.24	112.17	0.455	0.101
♀	145	74.03	79.70	91.2	103.79	110.92	0.313	0.103
♀	150	72.90	78.39	89.7	102.34	109.61	0.168	0.104
♀	155	71.96	77.27	88.4	101.14	108.61	-0.004	0.105
♀	160	71.12	76.19	87.0	99.72	107.36	-0.206	0.105
♀	165	70.61	75.46	86.0	98.79	106.68	-0.432	0.105
♀	170	70.11	74.73	85.0	97.88	106.10	-0.681	0.105
♀	175	69.40	73.83	83.9	97.03	105.73	-0.945	0.106

HR_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	59.12	63.57	73.3	85.17	92.52	-0.359	0.114
♂	125	57.70	62.28	72.3	84.51	92.06	-0.293	0.119
♂	130	56.54	61.26	71.6	84.20	91.98	-0.243	0.124
♂	135	55.65	60.50	71.1	84.00	91.95	-0.194	0.128
♂	140	55.04	59.96	70.7	83.68	91.64	-0.138	0.130
♂	145	54.43	59.43	70.3	83.36	91.32	-0.085	0.132
♂	150	53.88	58.91	69.8	82.84	90.75	-0.054	0.133
♂	155	53.39	58.39	69.2	82.11	89.93	-0.040	0.133
♂	160	52.71	57.64	68.3	81.05	88.79	-0.049	0.133
♂	165	51.90	56.72	67.2	79.77	87.41	-0.067	0.133
♂	170	50.92	55.62	65.8	78.01	85.43	-0.071	0.132
♂	175	49.73	54.34	64.3	76.21	83.44	-0.056	0.132
♂	180	48.46	52.94	62.6	74.07	80.99	-0.023	0.131
♂	185	47.23	51.57	60.9	71.96	78.63	-0.021	0.130
♀	120	60.57	65.53	76.1	88.45	95.81	-0.038	0.117
♀	125	59.51	64.38	74.8	87.11	94.52	-0.101	0.118
♀	130	58.75	63.50	73.8	86.16	93.70	-0.197	0.119
♀	135	58.38	62.99	73.1	85.47	93.15	-0.321	0.119
♀	140	58.06	62.57	72.6	85.15	93.10	-0.453	0.120
♀	145	57.63	62.05	72.0	84.68	92.88	-0.564	0.121
♀	150	57.07	61.43	71.3	84.06	92.41	-0.636	0.122
♀	155	56.19	60.53	70.4	83.27	91.75	-0.660	0.124
♀	160	55.24	59.57	69.4	82.15	90.51	-0.617	0.125
♀	165	53.86	58.26	68.2	80.94	89.20	-0.511	0.128
♀	170	52.50	56.99	67.0	79.55	87.51	-0.354	0.130
♀	175	50.98	55.59	65.7	77.98	85.54	-0.152	0.132

cn.ref

Citations

• Kempf, E., Vogel, M., Vogel, T., Kratzsch, J., Landgraf, K., Kühnapfel, A., Gausche, R., Gräfe, D., Sergeyev, E., Pfäffle, R., Kiess, W., Stanik, J., Körner, A., 2021. Dynamic alterations in linear growth and endocrine parameters in children with obesity and height reference values. EClinicalMedicine 37, 100977. https://doi.org/10.1016/j.eclinm.2021.100977

HEIGHT_NW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.0000000	47.03	48.43	51.28	54.45	56.29	0.0457	-0.8522
♂	0.0833333	50.79	52.17	54.85	57.62	59.13	0.0388	0.3014
♂	0.1666667	54.14	55.63	58.48	61.37	62.93	0.0383	0.6511
♂	0.2500000	57.33	58.87	61.83	64.84	66.45	0.0377	0.6355
♂	0.3333333	59.97	61.54	64.56	67.66	69.33	0.0370	0.4808
♂	0.4166667	62.07	63.65	66.71	69.88	71.60	0.0364	0.2761
♂	0.5000000	63.82	65.41	68.52	71.76	73.54	0.0361	0.0674
♂	0.5833333	65.35	66.96	70.13	73.46	75.29	0.0361	-0.1237
♂	0.6666667	66.71	68.35	71.59	75.02	76.92	0.0363	-0.2866
♂	0.7500000	67.94	69.61	72.92	76.46	78.43	0.0366	-0.4160
♂	0.8333333	69.06	70.76	74.14	77.78	79.82	0.0369	-0.5095
♂	0.9166667	70.08	71.81	75.27	79.00	81.09	0.0372	-0.5669
♂	1.0000000	71.03	72.80	76.33	80.14	82.28	0.0375	-0.5943
♂	2.0000000	81.28	83.38	87.54	91.93	94.36	0.0381	-0.1530
♂	3.0000000	88.87	91.36	96.25	101.37	104.18	0.0406	0.0862
♂	4.0000000	95.66	98.44	103.90	109.66	112.83	0.0421	0.0247
♂	5.0000000	102.07	105.10	111.07	117.42	120.94	0.0433	-0.0882
♂	6.0000000	107.83	111.14	117.71	124.71	128.60	0.0449	-0.1181
♂	7.0000000	113.19	116.78	123.88	131.46	135.67	0.0462	-0.0719
♂	8.0000000	118.59	122.39	129.93	137.94	142.38	0.0467	-0.0227
♂	9.0000000	123.56	127.62	135.66	144.24	149.00	0.0478	-0.0316
♂	10.0000000	127.56	131.97	140.77	150.20	155.47	0.0505	-0.0803
♂	11.0000000	130.85	135.74	145.57	156.21	162.20	0.0548	-0.1394
♂	12.0000000	135.27	140.67	151.57	163.50	170.27	0.0587	-0.1942
♂	13.0000000	141.45	147.23	158.96	171.88	179.25	0.0604	-0.2433
♂	14.0000000	148.06	153.95	165.93	179.15	186.70	0.0591	-0.2999
♂	15.0000000	154.07	159.75	171.30	184.02	191.29	0.0552	-0.3729
♂	16.0000000	159.08	164.38	175.12	186.92	193.64	0.0501	-0.4616
♂	17.0000000	162.90	167.77	177.62	188.41	194.54	0.0452	-0.5642
♂	18.0000000	165.78	170.23	179.22	189.04	194.61	0.0409	-0.6749
♀	0.0000000	46.54	47.81	50.50	53.68	55.61	0.0450	-1.8883
♀	0.0833333	49.84	51.17	53.72	56.36	57.78	0.0377	0.3748
♀	0.1666667	53.09	54.51	57.21	59.93	61.38	0.0370	0.8519
♀	0.2500000	55.85	57.35	60.19	63.05	64.57	0.0370	0.8928
♀	0.3333333	58.22	59.77	62.73	65.73	67.33	0.0371	0.7436
♀	0.4166667	60.26	61.85	64.90	68.02	69.70	0.0371	0.5269
♀	0.5000000	62.03	63.63	66.74	69.96	71.70	0.0370	0.2983
♀	0.5833333	63.59	65.20	68.35	71.64	73.45	0.0368	0.0774
♀	0.6666667	64.99	66.61	69.79	73.15	75.01	0.0366	-0.1273
♀	0.7500000	66.26	67.89	71.12	74.54	76.44	0.0364	-0.3101
♀	0.8333333	67.45	69.09	72.35	75.84	77.79	0.0364	-0.4676
♀	0.9166667	68.56	70.22	73.52	77.09	79.09	0.0364	-0.5977
♀	1.0000000	69.62	71.30	74.66	78.29	80.34	0.0365	-0.6990
♀	2.0000000	79.91	82.02	86.20	90.63	93.09	0.0389	-0.2183
♀	3.0000000	87.93	90.41	95.23	100.24	102.97	0.0403	0.2297
♀	4.0000000	94.93	97.64	103.04	108.81	112.02	0.0422	-0.2224
♀	5.0000000	101.34	104.22	110.05	116.42	120.03	0.0432	-0.6035
♀	6.0000000	107.09	110.31	116.82	123.94	127.99	0.0454	-0.5474
♀	7.0000000	112.39	115.95	123.08	130.79	135.11	0.0470	-0.2744
♀	8.0000000	117.89	121.62	129.10	137.15	141.68	0.0469	-0.2599
♀	9.0000000	123.09	127.04	135.02	143.76	148.71	0.0482	-0.4461
♀	10.0000000	127.53	131.89	140.79	150.67	156.34	0.0519	-0.5569
♀	11.0000000	132.50	137.35	147.25	158.26	164.58	0.0553	-0.4791
♀	12.0000000	138.66	143.81	154.22	165.60	172.07	0.0550	-0.2747
♀	13.0000000	144.31	149.38	159.51	170.40	176.49	0.0514	-0.0955
♀	14.0000000	148.22	153.02	162.55	172.73	178.41	0.0473	-0.0916
♀	15.0000000	150.42	154.93	163.93	173.64	179.09	0.0445	-0.3171
♀	16.0000000	152.14	156.38	164.96	174.37	179.73	0.0425	-0.7016
♀	17.0000000	153.42	157.40	165.58	174.74	180.05	0.0407	-1.1664
♀	18.0000000	153.79	157.52	165.27	174.12	179.34	0.0390	-1.6480

HEIGHT_ADI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.0000000	46.84	48.33	51.27	54.40	56.14	0.0462	-0.0312
♂	0.0833333	50.25	51.72	54.58	57.57	59.20	0.0418	0.1977
♂	0.1666667	53.81	55.33	58.29	61.37	63.04	0.0404	0.2855
♂	0.2500000	56.87	58.46	61.53	64.70	66.42	0.0396	0.3487
♂	0.3333333	59.47	61.11	64.29	67.56	69.33	0.0391	0.3990
♂	0.4166667	61.64	63.34	66.62	69.98	71.80	0.0389	0.4411
♂	0.5000000	63.47	65.21	68.58	72.04	73.91	0.0388	0.4774
♂	0.5833333	65.01	66.81	70.27	73.81	75.72	0.0389	0.5096
♂	0.6666667	66.33	68.18	71.72	75.35	77.30	0.0390	0.5387
♂	0.7500000	67.47	69.36	72.98	76.69	78.68	0.0392	0.5655
♂	0.8333333	68.48	70.41	74.11	77.90	79.93	0.0394	0.5903
♂	0.9166667	69.40	71.38	75.16	79.02	81.09	0.0397	0.6137
♂	1.0000000	70.29	72.31	76.17	80.10	82.21	0.0399	0.6360
♂	2.0000000	81.04	83.57	88.37	93.21	95.78	0.0426	0.8604
♂	3.0000000	90.24	93.18	98.72	104.26	107.18	0.0438	1.0384
♂	4.0000000	98.51	101.73	107.76	113.75	116.90	0.0435	1.1536
♂	5.0000000	106.15	109.57	115.95	122.27	125.58	0.0427	1.2075
♂	6.0000000	112.66	116.26	122.99	129.64	133.13	0.0424	1.2170
♂	7.0000000	118.50	122.33	129.50	136.58	140.31	0.0429	1.1973
♂	8.0000000	123.66	127.79	135.54	143.21	147.25	0.0444	1.1574
♂	9.0000000	128.48	133.00	141.50	149.95	154.40	0.0467	1.1017
♂	10.0000000	132.95	137.88	147.17	156.45	161.35	0.0492	1.0339
♂	11.0000000	137.57	142.82	152.78	162.76	168.05	0.0509	0.9559
♂	12.0000000	142.79	148.24	158.62	169.09	174.67	0.0513	0.8699
♂	13.0000000	148.51	154.03	164.58	175.28	181.01	0.0504	0.7780
♂	14.0000000	153.81	159.26	169.73	180.40	186.13	0.0486	0.6831
♂	15.0000000	158.36	163.66	173.87	184.32	189.96	0.0464	0.5875
♂	16.0000000	162.25	167.37	177.24	187.41	192.90	0.0441	0.4927
♂	17.0000000	165.66	170.58	180.11	189.95	195.29	0.0420	0.3997
♂	18.0000000	168.72	173.45	182.65	192.17	197.35	0.0400	0.3091
♀	0.0000000	46.81	48.11	50.76	53.67	55.34	0.0427	-0.7653
♀	0.0833333	49.72	51.03	53.63	56.41	57.96	0.0391	-0.3222
♀	0.1666667	52.87	54.24	56.94	59.80	61.39	0.0381	-0.1588
♀	0.2500000	55.88	57.32	60.15	63.12	64.76	0.0376	-0.0435
♀	0.3333333	58.41	59.91	62.85	65.93	67.62	0.0374	0.0464
♀	0.4166667	60.38	61.94	64.98	68.15	69.89	0.0373	0.1201
♀	0.5000000	62.00	63.60	66.74	70.00	71.77	0.0374	0.1825
♀	0.5833333	63.41	65.07	68.29	71.63	73.45	0.0375	0.2368
♀	0.6666667	64.73	66.43	69.75	73.18	75.04	0.0377	0.2848
♀	0.7500000	65.99	67.74	71.15	74.67	76.58	0.0380	0.3280
♀	0.8333333	67.19	69.00	72.50	76.11	78.07	0.0383	0.3674
♀	0.9166667	68.32	70.19	73.78	77.49	79.50	0.0386	0.4035
♀	1.0000000	69.39	71.31	75.00	78.80	80.85	0.0390	0.4371
♀	2.0000000	80.17	82.68	87.49	92.37	94.98	0.0432	0.7246
♀	3.0000000	89.25	92.23	97.89	103.59	106.62	0.0453	0.8973
♀	4.0000000	97.18	100.43	106.55	112.67	115.91	0.0448	1.0019
♀	5.0000000	104.33	107.75	114.20	120.62	124.01	0.0439	1.0616
♀	6.0000000	111.07	114.73	121.62	128.47	132.08	0.0441	1.0898
♀	7.0000000	117.06	121.02	128.47	135.88	139.79	0.0451	1.0949
♀	8.0000000	122.07	126.34	134.38	142.39	146.61	0.0466	1.0820
♀	9.0000000	127.08	131.66	140.31	148.92	153.47	0.0480	1.0540
♀	10.0000000	132.57	137.42	146.59	155.75	160.60	0.0488	1.0120
♀	11.0000000	138.39	143.42	152.96	162.52	167.59	0.0487	0.9575
♀	12.0000000	143.73	148.83	158.51	168.26	173.44	0.0478	0.8939
♀	13.0000000	147.74	152.78	162.39	172.10	177.28	0.0464	0.8245
♀	14.0000000	150.25	155.16	164.55	174.07	179.16	0.0448	0.7512
♀	15.0000000	151.69	156.44	165.52	174.78	179.74	0.0432	0.6758
♀	16.0000000	152.79	157.35	166.11	175.06	179.87	0.0416	0.6002
♀	17.0000000	153.71	158.08	166.51	175.14	179.79	0.0400	0.5256
♀	18.0000000	154.45	158.64	166.72	175.02	179.51	0.0383	0.4531

fredriks05.ref

Citations

• Fredriks, A. M. et al. Nationwide age references for sitting height, leg length, and sitting height/height ratio, and their diagnostic value for disproportionate growth disorders. Archives of Disease in Childhood 90, 807-812 (2005)

SITT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.25	37.00	38.29	40.67	42.98	44.18	1.510	0.045
♀	0.50	40.71	42.13	44.74	47.29	48.61	1.445	0.045
♀	0.75	42.65	44.16	46.96	49.70	51.13	1.386	0.046
♀	1.00	44.26	45.82	48.72	51.56	53.05	1.336	0.046
♀	2.00	47.44	49.18	52.43	55.63	57.31	1.234	0.048
♀	3.00	49.32	51.16	54.62	58.02	59.81	1.194	0.049
♀	4.00	52.17	54.11	57.76	61.37	63.27	1.164	0.049
♀	5.00	55.12	57.22	61.16	65.06	67.11	1.147	0.050
♀	6.00	57.81	60.02	64.15	68.24	70.39	1.144	0.050
♀	7.00	60.21	62.51	66.81	71.07	73.31	1.153	0.050
♀	8.00	62.69	65.09	69.57	74.01	76.33	1.176	0.050
♀	9.00	65.27	67.72	72.29	76.80	79.16	1.217	0.049
♀	10.00	67.45	70.00	74.73	79.38	81.82	1.277	0.049
♀	11.00	69.79	72.38	77.18	81.88	84.32	1.357	0.048
♀	12.00	72.55	75.20	80.10	84.86	87.33	1.471	0.047
♀	13.00	75.58	78.24	83.13	87.84	90.27	1.610	0.045
♀	14.00	78.05	80.69	85.50	90.12	92.49	1.735	0.043
♀	15.00	79.81	82.38	87.06	91.54	93.84	1.823	0.041
♀	16.00	80.94	83.48	88.11	92.53	94.79	1.883	0.040
♀	17.00	81.52	84.01	88.54	92.87	95.09	1.907	0.039
♀	18.00	81.67	84.17	88.71	93.04	95.27	1.917	0.039
♀	19.00	81.93	84.44	88.99	93.34	95.57	1.933	0.039
♀	20.00	82.44	84.89	89.35	93.60	95.78	1.953	0.038
♀	21.00	82.69	85.15	89.63	93.89	96.08	1.969	0.038
♂	0.25	37.62	39.13	41.69	43.96	45.08	3.072	0.045
♂	0.50	41.31	42.93	45.67	48.11	49.30	3.087	0.044
♂	0.75	43.45	45.15	48.04	50.60	51.85	3.092	0.044
♂	1.00	44.97	46.72	49.71	52.36	53.66	3.087	0.044
♂	2.00	48.24	50.23	53.60	56.59	58.05	3.030	0.046
♂	3.00	50.38	52.44	55.95	59.08	60.60	2.971	0.046
♂	4.00	52.78	54.98	58.74	62.10	63.74	2.886	0.047
♂	5.00	55.59	57.89	61.83	65.37	67.12	2.768	0.047
♂	6.00	58.42	60.80	64.92	68.65	70.50	2.624	0.047
♂	7.00	61.21	63.60	67.78	71.62	73.53	2.474	0.046
♂	8.00	63.51	66.02	70.45	74.53	76.58	2.331	0.047
♂	9.00	65.53	68.09	72.64	76.87	78.99	2.212	0.047
♂	10.00	67.08	69.75	74.50	78.94	81.18	2.115	0.048
♂	11.00	68.86	71.58	76.44	81.00	83.31	2.023	0.048
♂	12.00	70.94	73.78	78.89	83.71	86.16	1.931	0.049
♂	13.00	73.56	76.56	81.97	87.09	89.69	1.868	0.050
♂	14.00	76.71	79.84	85.48	90.81	93.53	1.871	0.050
♂	15.00	80.41	83.48	88.99	94.21	96.87	1.925	0.047
♂	16.00	83.29	86.24	91.56	96.58	99.14	1.985	0.044
♂	17.00	85.01	87.86	93.02	97.89	100.38	2.024	0.042
♂	18.00	85.97	88.78	93.85	98.66	101.10	2.047	0.041
♂	19.00	86.58	89.34	94.31	99.02	101.42	2.059	0.040
♂	20.00	86.69	89.45	94.43	99.15	101.55	2.062	0.040
♂	21.00	86.90	89.66	94.65	99.38	101.79	2.060	0.040

LEGLENGTH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.25	16.04	17.01	18.90	20.84	21.89	0.707	0.079
♀	0.50	18.35	19.43	21.52	23.68	24.84	0.673	0.077
♀	0.75	20.56	21.73	24.00	26.34	27.62	0.650	0.075
♀	1.00	22.64	23.91	26.36	28.91	30.29	0.641	0.074
♀	2.00	30.58	32.18	35.26	38.42	40.12	0.719	0.069
♀	3.00	36.77	38.61	42.15	45.74	47.67	0.785	0.066
♀	4.00	41.11	43.06	46.80	50.62	52.66	0.764	0.063
♀	5.00	44.70	46.74	50.65	54.65	56.81	0.713	0.061
♀	6.00	48.18	50.32	54.45	58.69	60.98	0.660	0.060
♀	7.00	51.71	53.96	58.31	62.78	65.20	0.625	0.059
♀	8.00	55.11	57.47	62.01	66.68	69.21	0.624	0.058
♀	9.00	58.12	60.61	65.41	70.33	72.99	0.662	0.058
♀	10.00	61.10	63.69	68.66	73.72	76.44	0.738	0.057
♀	11.00	64.00	66.74	71.97	77.25	80.07	0.850	0.057
♀	12.00	67.00	69.85	75.25	80.65	83.51	0.982	0.056
♀	13.00	69.30	72.28	77.90	83.47	86.40	1.101	0.056
♀	14.00	70.65	73.72	79.46	85.13	88.11	1.175	0.056
♀	15.00	71.41	74.46	80.15	85.76	88.70	1.209	0.055
♀	16.00	71.70	74.77	80.49	86.12	89.07	1.225	0.055
♀	17.00	71.85	74.92	80.66	86.30	89.25	1.234	0.055
♀	18.00	71.93	75.01	80.75	86.39	89.35	1.238	0.055
♀	19.00	71.99	75.08	80.83	86.48	89.43	1.242	0.055
♀	20.00	72.11	75.20	80.96	86.61	89.57	1.248	0.055
♀	21.00	72.19	75.29	81.06	86.72	89.68	1.253	0.055
♂	0.25	16.32	17.38	19.38	21.36	22.40	1.061	0.080
♂	0.50	18.77	19.93	22.14	24.36	25.54	0.936	0.078
♂	0.75	20.94	22.20	24.60	27.05	28.37	0.824	0.077
♂	1.00	23.05	24.37	26.92	29.54	30.96	0.729	0.075
♂	2.00	30.90	32.53	35.71	39.03	40.84	0.536	0.071
♂	3.00	36.91	38.73	42.29	46.00	48.02	0.513	0.067
♂	4.00	41.38	43.32	47.11	51.05	53.19	0.530	0.064
♂	5.00	45.23	47.29	51.29	55.44	57.69	0.558	0.062
♂	6.00	48.71	50.90	55.14	59.52	61.90	0.588	0.061
♂	7.00	52.07	54.37	58.83	63.42	65.90	0.617	0.060
♂	8.00	55.22	57.67	62.41	67.27	69.90	0.644	0.060
♂	9.00	58.27	60.81	65.72	70.75	73.46	0.672	0.059
♂	10.00	61.01	63.68	68.83	74.09	76.92	0.703	0.059
♂	11.00	63.75	66.56	71.95	77.44	80.39	0.742	0.059
♂	12.00	66.73	69.68	75.33	81.07	84.15	0.791	0.059
♂	13.00	70.10	73.23	79.18	85.20	88.41	0.851	0.059
♂	14.00	73.47	76.70	82.83	89.01	92.29	0.910	0.058
♂	15.00	76.08	79.37	85.62	91.88	95.21	0.957	0.057
♂	16.00	77.71	81.09	87.48	93.87	97.25	0.990	0.057
♂	17.00	78.57	81.99	88.46	94.92	98.33	1.007	0.057
♂	18.00	78.89	82.33	88.82	95.31	98.74	1.013	0.057
♂	19.00	78.95	82.39	88.89	95.37	98.81	1.014	0.057
♂	20.00	79.01	82.45	88.95	95.45	98.88	1.016	0.057
♂	21.00	79.17	82.63	89.14	95.65	99.09	1.019	0.057

SITTOVERHEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.25	0.63	0.65	0.68	0.71	0.73	4.72	0.036
♀	0.50	0.62	0.64	0.67	0.70	0.71	4.72	0.036
♀	0.75	0.61	0.63	0.66	0.69	0.70	4.72	0.036
♀	1.00	0.59	0.62	0.65	0.68	0.69	4.72	0.036
♀	2.00	0.55	0.57	0.60	0.63	0.64	4.72	0.036
♀	3.00	0.52	0.54	0.57	0.59	0.60	4.72	0.035
♀	4.00	0.51	0.53	0.55	0.58	0.59	4.72	0.034
♀	5.00	0.51	0.52	0.55	0.57	0.58	4.72	0.032
♀	6.00	0.50	0.52	0.54	0.56	0.57	4.72	0.031
♀	7.00	0.50	0.51	0.54	0.55	0.56	4.72	0.029
♀	8.00	0.50	0.51	0.53	0.55	0.56	4.72	0.028
♀	9.00	0.49	0.51	0.53	0.54	0.55	4.72	0.027
♀	10.00	0.49	0.50	0.52	0.54	0.55	4.72	0.028
♀	11.00	0.49	0.50	0.52	0.54	0.54	4.72	0.027
♀	12.00	0.49	0.50	0.52	0.53	0.54	4.72	0.027
♀	13.00	0.49	0.50	0.52	0.53	0.54	4.72	0.027
♀	14.00	0.49	0.50	0.52	0.53	0.54	4.72	0.027
♀	15.00	0.49	0.50	0.52	0.54	0.55	4.72	0.027
♀	16.00	0.49	0.50	0.52	0.54	0.55	4.72	0.027
♀	17.00	0.49	0.50	0.52	0.54	0.55	4.72	0.027
♀	18.00	0.49	0.50	0.52	0.54	0.55	4.72	0.027
♀	19.00	0.49	0.51	0.52	0.54	0.55	4.72	0.027
♀	20.00	0.49	0.51	0.53	0.54	0.55	4.72	0.027
♀	21.00	0.49	0.51	0.53	0.54	0.55	4.72	0.027
♂	0.25	0.63	0.65	0.68	0.71	0.72	5.22	0.034
♂	0.50	0.62	0.64	0.67	0.70	0.71	5.22	0.034
♂	0.75	0.61	0.63	0.66	0.69	0.70	5.22	0.034
♂	1.00	0.60	0.62	0.65	0.67	0.69	5.22	0.034
♂	2.00	0.56	0.57	0.60	0.63	0.64	5.22	0.034
♂	3.00	0.53	0.55	0.57	0.59	0.60	5.22	0.033
♂	4.00	0.51	0.53	0.56	0.58	0.59	5.22	0.033
♂	5.00	0.51	0.52	0.55	0.57	0.58	5.22	0.031
♂	6.00	0.50	0.52	0.54	0.56	0.57	5.22	0.030
♂	7.00	0.50	0.51	0.54	0.55	0.56	5.22	0.029
♂	8.00	0.50	0.51	0.53	0.55	0.56	5.22	0.028
♂	9.00	0.49	0.51	0.53	0.54	0.55	5.22	0.027
♂	10.00	0.49	0.50	0.52	0.54	0.54	5.22	0.026
♂	11.00	0.49	0.50	0.52	0.53	0.54	5.22	0.025
♂	12.00	0.48	0.50	0.51	0.53	0.54	5.22	0.025
♂	13.00	0.48	0.49	0.51	0.52	0.53	5.22	0.025
♂	14.00	0.48	0.49	0.51	0.52	0.53	5.22	0.026
♂	15.00	0.48	0.49	0.51	0.53	0.53	5.22	0.026
♂	16.00	0.48	0.49	0.51	0.53	0.54	5.22	0.027
♂	17.00	0.48	0.49	0.51	0.53	0.54	5.22	0.027
♂	18.00	0.48	0.49	0.52	0.53	0.54	5.22	0.028
♂	19.00	0.48	0.50	0.52	0.53	0.54	5.22	0.028
♂	20.00	0.48	0.50	0.52	0.53	0.54	5.22	0.029
♂	21.00	0.48	0.49	0.51	0.53	0.54	5.22	0.029

iron.ref

Citations

• Rieger, K. et al. Reference intervals for iron-related blood parameters: results from a population-based cohort study (LIFE Child). LaboratoriumsMedizin 40, (2016).

FERR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	2	10.68	14.93	28.68	60.47	97.10	0.5480	-0.1915	1.8143
♂	3	11.65	16.15	29.66	58.41	89.96	0.5071	-0.1685	1.7410
♂	4	12.63	17.35	30.68	57.13	85.02	0.4727	-0.1455	1.6826
♂	5	13.55	18.49	31.76	56.71	82.19	0.4464	-0.1221	1.6406
♂	6	14.42	19.57	32.93	57.00	80.92	0.4270	-0.0982	1.6116
♂	7	15.14	20.53	34.17	58.05	81.31	0.4160	-0.0741	1.5933
♂	8	15.55	21.21	35.44	60.00	83.69	0.4165	-0.0500	1.5846
♂	9	15.55	21.53	36.66	62.90	88.15	0.4295	-0.0261	1.5853
♂	10	15.26	21.57	37.85	66.48	94.05	0.4506	-0.0027	1.5966
♂	11	14.83	21.41	38.96	70.39	100.54	0.4753	0.0196	1.6226
♂	12	14.25	21.07	39.96	74.58	107.47	0.5031	0.0409	1.6663
♂	13	13.72	20.70	40.93	78.76	114.03	0.5294	0.0612	1.7269
♂	14	13.55	20.67	42.09	82.44	118.82	0.5450	0.0810	1.8016
♂	15	13.75	21.04	43.66	86.17	122.89	0.5523	0.1007	1.8877
♂	16	13.95	21.48	45.72	91.34	129.09	0.5636	0.1205	1.9853
♂	17	13.86	21.69	48.22	98.89	139.25	0.5871	0.1407	2.0984
♂	18	13.34	21.49	51.15	109.44	154.29	0.6254	0.1610	2.2327
♀	2	12.53	17.54	33.33	64.99	94.22	0.5122	-0.0596	1.9442
♀	3	13.60	18.73	33.81	62.10	87.70	0.4708	-0.0489	1.8634
♀	4	14.67	19.90	34.31	59.84	82.55	0.4343	-0.0383	1.7937
♀	5	15.59	20.90	34.78	58.31	79.05	0.4065	-0.0275	1.7320
♀	6	16.18	21.59	35.17	57.52	77.22	0.3897	-0.0166	1.6786
♀	7	16.39	21.92	35.49	57.52	77.07	0.3848	-0.0052	1.6380
♀	8	16.24	21.92	35.76	58.22	78.37	0.3905	0.0071	1.6113
♀	9	15.73	21.57	35.91	59.45	80.83	0.4057	0.0209	1.5994
♀	10	14.90	20.89	35.87	60.95	83.97	0.4285	0.0370	1.6020
♀	11	13.82	19.90	35.60	62.54	87.45	0.4575	0.0557	1.6165
♀	12	12.51	18.65	35.19	64.48	91.78	0.4945	0.0759	1.6390
♀	13	11.16	17.32	34.80	66.94	97.09	0.5373	0.0954	1.6693
♀	14	9.95	16.10	34.52	69.70	102.74	0.5802	0.1127	1.7102
♀	15	8.97	15.06	34.37	72.44	107.94	0.6189	0.1288	1.7623
♀	16	8.26	14.27	34.33	74.79	111.78	0.6492	0.1451	1.8261
♀	17	7.74	13.68	34.41	76.70	114.18	0.6714	0.1627	1.9023
♀	18	7.39	13.27	34.54	78.05	115.10	0.6859	0.1810	1.9910

HGB

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	2	10.51	10.90	11.83	13.50	15.46	0.0798	-4.7233	1.6754
♂	3	10.73	11.14	12.07	13.57	15.12	0.0748	-4.0039	1.6738
♂	4	10.94	11.37	12.28	13.63	14.84	0.0703	-3.2829	1.6768
♂	5	11.14	11.57	12.48	13.69	14.65	0.0658	-2.5598	1.6857
♂	6	11.34	11.79	12.68	13.79	14.60	0.0619	-1.8460	1.6968
♂	7	11.52	11.98	12.88	13.93	14.64	0.0596	-1.1581	1.7020
♂	8	11.62	12.11	13.03	14.05	14.72	0.0590	-0.5108	1.6966
♂	9	11.67	12.20	13.15	14.16	14.79	0.0592	0.0853	1.6850
♂	10	11.67	12.24	13.23	14.25	14.87	0.0603	0.6298	1.6713
♂	11	11.65	12.28	13.33	14.36	14.98	0.0622	1.1258	1.6576
♂	12	11.69	12.39	13.51	14.58	15.20	0.0644	1.5723	1.6453
♂	13	11.84	12.62	13.81	14.91	15.54	0.0659	1.9667	1.6348
♂	14	12.12	12.97	14.23	15.36	15.99	0.0666	2.3181	1.6246
♂	15	12.41	13.34	14.66	15.81	16.46	0.0670	2.6470	1.6118
♂	16	12.60	13.60	14.98	16.14	16.78	0.0670	2.9701	1.5965
♂	17	12.67	13.74	15.15	16.31	16.94	0.0669	3.2971	1.5814
♂	18	12.69	13.83	15.27	16.42	17.04	0.0667	3.6272	1.5685
♀	2	10.73	11.13	12.02	13.32	14.47	0.0691	-3.3622	1.7089
♀	3	10.89	11.30	12.19	13.42	14.40	0.0666	-2.8078	1.7423
♀	4	11.05	11.47	12.36	13.52	14.36	0.0640	-2.2533	1.7782
♀	5	11.22	11.65	12.53	13.61	14.34	0.0609	-1.6988	1.8159
♀	6	11.38	11.81	12.68	13.69	14.34	0.0580	-1.1442	1.8529
♀	7	11.51	11.95	12.82	13.80	14.38	0.0563	-0.5898	1.8861
♀	8	11.61	12.07	12.96	13.92	14.48	0.0561	-0.0355	1.9154
♀	9	11.66	12.15	13.09	14.07	14.60	0.0572	0.5186	1.9450
♀	10	11.68	12.21	13.21	14.20	14.73	0.0588	1.0725	1.9784
♀	11	11.67	12.25	13.30	14.30	14.81	0.0601	1.6260	2.0168
♀	12	11.64	12.26	13.36	14.37	14.86	0.0611	2.1790	2.0598
♀	13	11.56	12.23	13.39	14.39	14.86	0.0621	2.7313	2.1067
♀	14	11.48	12.20	13.39	14.39	14.83	0.0624	3.2829	2.1572
♀	15	11.39	12.16	13.39	14.36	14.78	0.0621	3.8338	2.2121
♀	16	11.30	12.12	13.38	14.33	14.72	0.0619	4.3842	2.2714
♀	17	11.15	12.06	13.37	14.31	14.69	0.0624	4.9344	2.3359
♀	18	10.94	11.97	13.37	14.32	14.68	0.0640	5.4846	2.4066

RETI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	2	5.18	5.92	9.18	13.38	14.71	0.2984	0.3699	6.7605
♂	3	4.57	6.15	9.17	13.02	16.05	0.3028	0.3479	1.4494
♂	4	4.45	6.21	9.16	12.95	16.45	0.3084	0.3243	1.1836
♂	5	4.39	6.16	9.16	13.06	16.76	0.3165	0.2946	1.1723
♂	6	4.36	6.09	9.15	13.23	17.04	0.3239	0.2571	1.2202
♂	7	4.38	6.05	9.14	13.35	17.22	0.3279	0.2169	1.2793
♂	8	4.43	6.02	9.13	13.44	17.29	0.3290	0.1801	1.3535
♂	9	4.49	5.99	9.12	13.53	17.29	0.3297	0.1521	1.4660
♂	10	4.52	5.94	9.11	13.65	17.29	0.3324	0.1339	1.6182
♂	11	4.55	5.90	9.10	13.73	17.25	0.3339	0.1211	1.7629
♂	12	4.63	5.92	9.09	13.69	17.03	0.3288	0.1075	1.8827
♂	13	4.78	6.01	9.08	13.51	16.64	0.3169	0.0931	1.9461
♂	14	4.89	6.09	9.07	13.33	16.34	0.3063	0.0807	1.9425
♂	15	4.95	6.13	9.06	13.25	16.18	0.3010	0.0705	1.9608
♂	16	5.02	6.16	9.05	13.18	15.99	0.2960	0.0627	2.0338
♂	17	5.12	6.20	9.05	13.08	15.69	0.2889	0.0577	2.1816
♂	18	5.31	6.23	9.04	13.02	15.14	0.2799	0.0562	2.9051
♀	2	5.24	6.65	10.09	15.24	19.19	0.3269	0.0309	1.8061
♀	3	5.21	6.63	10.07	15.22	19.17	0.3278	0.0349	1.8045
♀	4	5.18	6.60	10.05	15.20	19.16	0.3290	0.0390	1.8036
♀	5	5.15	6.57	10.03	15.19	19.16	0.3305	0.0431	1.8036
♀	6	5.11	6.53	10.01	15.20	19.19	0.3329	0.0473	1.8045
♀	7	5.06	6.49	9.99	15.23	19.26	0.3363	0.0517	1.8062
♀	8	5.03	6.46	9.97	15.22	19.26	0.3381	0.0563	1.8077
♀	9	5.03	6.46	9.95	15.14	19.12	0.3359	0.0609	1.8077
♀	10	5.07	6.49	9.92	15.01	18.88	0.3307	0.0653	1.8061
♀	11	5.12	6.52	9.90	14.87	18.62	0.3248	0.0692	1.8035
♀	12	5.15	6.54	9.88	14.75	18.42	0.3206	0.0726	1.8003
♀	13	5.14	6.53	9.86	14.71	18.37	0.3203	0.0758	1.7972
♀	14	5.07	6.47	9.85	14.77	18.50	0.3253	0.0789	1.7951
♀	15	4.95	6.38	9.83	14.91	18.79	0.3349	0.0821	1.7946
♀	16	4.86	6.30	9.81	15.02	19.01	0.3427	0.0853	1.7959
♀	17	4.85	6.29	9.79	14.98	18.95	0.3425	0.0887	1.7991
♀	18	4.89	6.32	9.77	14.86	18.71	0.3372	0.0920	1.8039

TFR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	2	2.13	2.37	2.76	3.19	3.50	0.1218	0.3408	1.4221
♂	3	2.14	2.37	2.76	3.19	3.48	0.1194	0.3912	1.4971
♂	4	2.15	2.37	2.76	3.18	3.46	0.1171	0.4414	1.5980
♂	5	2.16	2.38	2.76	3.18	3.43	0.1149	0.4913	1.7225
♂	6	2.18	2.38	2.76	3.17	3.41	0.1124	0.5405	1.8427
♂	7	2.19	2.39	2.76	3.16	3.39	0.1098	0.5891	1.9239
♂	8	2.20	2.40	2.77	3.16	3.37	0.1076	0.6369	1.9464
♂	9	2.21	2.41	2.77	3.16	3.37	0.1065	0.6844	1.9030
♂	10	2.21	2.41	2.79	3.17	3.40	0.1074	0.7318	1.8129
♂	11	2.19	2.42	2.80	3.20	3.44	0.1115	0.7805	1.7061
♂	12	2.17	2.41	2.82	3.25	3.51	0.1181	0.8310	1.6100
♂	13	2.13	2.40	2.84	3.29	3.57	0.1252	0.8836	1.5601
♂	14	2.12	2.40	2.86	3.32	3.61	0.1292	0.9391	1.5849
♂	15	2.13	2.40	2.86	3.32	3.60	0.1284	0.9977	1.7253
♂	16	2.17	2.41	2.86	3.31	3.55	0.1234	1.0578	2.0491
♂	17	2.23	2.42	2.86	3.29	3.47	0.1156	1.1177	2.7003
♂	18	2.29	2.44	2.85	3.25	3.39	0.1069	1.1772	4.1054
♀	2	2.16	2.34	2.68	3.03	3.23	0.1020	0.6948	1.9335
♀	3	2.16	2.35	2.69	3.04	3.23	0.1013	0.8746	1.9278
♀	4	2.16	2.35	2.70	3.05	3.24	0.1008	1.0509	1.9379
♀	5	2.17	2.36	2.71	3.06	3.24	0.1006	1.2052	1.9580
♀	6	2.17	2.36	2.73	3.07	3.25	0.1013	1.3169	1.9824
♀	7	2.17	2.37	2.74	3.09	3.27	0.1027	1.3677	2.0084
♀	8	2.17	2.38	2.76	3.12	3.30	0.1048	1.3308	2.0345
♀	9	2.17	2.38	2.77	3.16	3.35	0.1084	1.1852	2.0598
♀	10	2.19	2.39	2.80	3.20	3.41	0.1127	0.9296	2.0834
♀	11	2.21	2.41	2.82	3.26	3.49	0.1168	0.6057	2.1039
♀	12	2.23	2.43	2.85	3.32	3.57	0.1207	0.2983	2.1202
♀	13	2.26	2.45	2.88	3.37	3.66	0.1242	0.0537	2.1321
♀	14	2.27	2.46	2.90	3.44	3.75	0.1288	-0.1345	2.1406
♀	15	2.27	2.47	2.93	3.51	3.86	0.1363	-0.2833	2.1480
♀	16	2.26	2.46	2.96	3.60	4.00	0.1467	-0.3797	2.1564
♀	17	2.24	2.45	2.98	3.69	4.13	0.1572	-0.4084	2.1676
♀	18	2.22	2.45	3.01	3.76	4.24	0.1661	-0.4072	2.1839

kiggs_bp.ref

Citations

• Neuhauser, H. K., Thamm, M., Ellert, U., Hense, H. W. & Rosario, A. S. Blood Pressure Percentiles by Age and Height from Nonoverweight Children and Adolescents in Germany. Pediatrics peds.2010-1290 (2011). doi:10.1542/peds.2010-1290

kiggs.ref

Citations

• Referenzperzentile für anthropometrische Maßzahlen und Blutdruck aus KiGGS 2003-2006, Robert Koch Institut; link: http://www.rki.de/DE/Content/Gesundheitsmonitoring/Gesundheitsberichterstattung/GBEDownloadsB/KiGGS_Referenzperzentile.html

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.3333333	13.56	14.46	16.31	18.38	19.57	0.0710	0.0937
♂	0.4166667	13.94	14.85	16.73	18.84	20.06	0.0306	0.0929
♂	0.5000000	14.17	15.08	16.97	19.10	20.33	-0.0093	0.0922
♂	0.5833333	14.31	15.21	17.10	19.23	20.47	-0.0493	0.0914
♂	0.6666667	14.40	15.30	17.18	19.31	20.55	-0.0898	0.0907
♂	0.7500000	14.46	15.36	17.22	19.34	20.58	-0.1299	0.0900
♂	0.8333333	14.50	15.38	17.23	19.34	20.58	-0.1700	0.0893
♂	0.9166667	14.49	15.36	17.18	19.27	20.50	-0.2108	0.0885
♂	1.0000000	14.44	15.30	17.09	19.16	20.38	-0.2513	0.0878
♂	2.0000000	14.07	14.79	16.34	18.20	19.34	-0.7629	0.0808
♂	3.0000000	13.90	14.53	15.94	17.71	18.86	-1.3293	0.0768
♂	4.0000000	13.70	14.29	15.64	17.43	18.66	-1.8650	0.0767
♂	5.0000000	13.46	14.05	15.44	17.41	18.85	-2.2676	0.0819
♂	6.0000000	13.38	14.01	15.53	17.85	19.73	-2.4979	0.0919
♂	7.0000000	13.40	14.09	15.81	18.63	21.14	-2.5517	0.1048
♂	8.0000000	13.49	14.25	16.21	19.59	22.81	-2.4550	0.1183
♂	9.0000000	13.68	14.52	16.74	20.66	24.51	-2.2651	0.1307
♂	10.0000000	13.95	14.89	17.36	21.75	26.06	-2.0488	0.1410
♂	11.0000000	14.24	15.28	17.99	22.78	27.40	-1.8589	0.1491
♂	12.0000000	14.58	15.69	18.60	23.70	28.55	-1.7260	0.1546
♂	13.0000000	14.98	16.15	19.21	24.54	29.54	-1.6563	0.1571
♂	14.0000000	15.46	16.67	19.83	25.29	30.36	-1.6319	0.1567
♂	15.0000000	16.01	17.25	20.47	25.98	31.02	-1.6259	0.1542
♂	16.0000000	16.58	17.84	21.10	26.59	31.52	-1.6239	0.1505
♂	17.0000000	17.16	18.44	21.72	27.17	31.96	-1.6257	0.1464
♂	18.0000000	17.73	19.02	22.31	27.71	32.37	-1.6308	0.1424
♀	0.3333333	13.13	13.98	15.73	17.68	18.81	0.0701	0.0917
♀	0.4166667	13.52	14.38	16.16	18.16	19.31	0.0019	0.0910
♀	0.5000000	13.80	14.67	16.46	18.49	19.67	-0.0653	0.0903
♀	0.5833333	14.00	14.86	16.65	18.69	19.89	-0.1325	0.0896
♀	0.6666667	14.11	14.96	16.74	18.78	19.99	-0.2003	0.0889
♀	0.7500000	14.15	14.99	16.76	18.80	20.00	-0.2671	0.0882
♀	0.8333333	14.17	14.99	16.74	18.77	19.97	-0.3336	0.0875
♀	0.9166667	14.17	14.99	16.71	18.73	19.93	-0.4005	0.0869
♀	1.0000000	14.16	14.96	16.66	18.66	19.87	-0.4662	0.0862
♀	2.0000000	13.83	14.50	15.99	17.86	19.06	-1.1922	0.0809
♀	3.0000000	13.65	14.27	15.71	17.62	18.93	-1.7197	0.0813
♀	4.0000000	13.43	14.05	15.51	17.54	19.01	-2.0239	0.0851
♀	5.0000000	13.26	13.90	15.41	17.61	19.26	-2.1531	0.0904
♀	6.0000000	13.20	13.87	15.49	17.92	19.83	-2.1641	0.0976
♀	7.0000000	13.21	13.94	15.75	18.56	20.86	-2.0995	0.1083
♀	8.0000000	13.27	14.09	16.15	19.49	22.38	-1.9898	0.1225
♀	9.0000000	13.40	14.32	16.69	20.69	24.33	-1.8601	0.1383
♀	10.0000000	13.61	14.63	17.31	21.97	26.35	-1.7345	0.1523
♀	11.0000000	13.94	15.06	18.00	23.18	28.12	-1.6351	0.1617
♀	12.0000000	14.46	15.64	18.77	24.26	29.47	-1.5791	0.1647
♀	13.0000000	15.12	16.35	19.57	25.18	30.42	-1.5758	0.1623
♀	14.0000000	15.82	17.06	20.30	25.89	31.07	-1.6252	0.1568
♀	15.0000000	16.48	17.70	20.91	26.42	31.52	-1.7187	0.1503
♀	16.0000000	17.02	18.23	21.37	26.78	31.84	-1.8427	0.1442
♀	17.0000000	17.45	18.63	21.70	27.02	32.07	-1.9830	0.1389
♀	18.0000000	17.80	18.95	21.95	27.20	32.27	-2.1259	0.1345

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.3333333	59.30	60.91	64.04	67.31	69.10	0.1285	0.0390
♂	0.4166667	61.65	63.25	66.37	69.63	71.41	0.1119	0.0375
♂	0.5000000	63.66	65.26	68.37	71.62	73.39	0.0959	0.0363
♂	0.5833333	65.39	66.99	70.10	73.35	75.12	0.0806	0.0354
♂	0.6666667	66.91	68.51	71.63	74.88	76.66	0.0661	0.0347
♂	0.7500000	68.28	69.88	73.01	76.27	78.05	0.0524	0.0341
♂	0.8333333	69.53	71.14	74.28	77.56	79.35	0.0395	0.0337
♂	0.9166667	70.68	72.31	75.48	78.79	80.60	0.0276	0.0335
♂	1.0000000	71.77	73.42	76.63	79.98	81.81	0.0167	0.0334
♂	2.0000000	82.34	84.32	88.21	92.29	94.52	-0.0580	0.0352
♂	3.0000000	90.27	92.59	97.14	101.93	104.57	-0.0713	0.0375
♂	4.0000000	96.82	99.43	104.56	109.97	112.95	-0.0512	0.0393
♂	5.0000000	102.70	105.58	111.23	117.19	120.47	-0.0075	0.0407
♂	6.0000000	108.54	111.66	117.78	124.22	127.76	0.0562	0.0416
♂	7.0000000	114.64	117.98	124.51	131.35	135.10	0.1413	0.0419
♂	8.0000000	120.26	123.83	130.79	138.04	142.00	0.2448	0.0424
♂	9.0000000	125.07	128.90	136.35	144.07	148.27	0.3598	0.0434
♂	10.0000000	129.29	133.47	141.55	149.87	154.37	0.4881	0.0452
♂	11.0000000	133.17	137.80	146.68	155.76	160.65	0.6371	0.0478
♂	12.0000000	137.29	142.43	152.22	162.13	167.41	0.8249	0.0505
♂	13.0000000	142.75	148.43	159.13	169.77	175.38	1.0830	0.0523
♂	14.0000000	150.06	155.98	166.93	177.60	183.15	1.3973	0.0505
♂	15.0000000	157.29	162.89	173.12	182.96	188.03	1.6711	0.0452
♂	16.0000000	162.13	167.28	176.66	185.64	190.25	1.8391	0.0405
♂	17.0000000	164.40	169.31	178.24	186.78	191.16	1.9158	0.0382
♂	18.0000000	165.53	170.32	179.04	187.37	191.64	1.9551	0.0371
♀	0.3333333	57.37	59.07	62.30	65.53	67.23	1.0000	0.0404
♀	0.4166667	59.59	61.31	64.54	67.77	69.49	1.0000	0.0391
♀	0.5000000	61.54	63.25	66.48	69.71	71.42	1.0000	0.0379
♀	0.5833333	63.26	64.97	68.19	71.41	73.12	1.0000	0.0369
♀	0.6666667	64.80	66.50	69.73	72.96	74.66	1.0000	0.0361
♀	0.7500000	66.21	67.92	71.16	74.40	76.11	1.0000	0.0355
♀	0.8333333	67.55	69.28	72.53	75.78	77.51	1.0000	0.0350
♀	0.9166667	68.82	70.56	73.84	77.12	78.86	1.0000	0.0347
♀	1.0000000	70.03	71.78	75.09	78.40	80.15	1.0000	0.0344
♀	2.0000000	80.68	82.77	86.73	90.69	92.78	1.0000	0.0356
♀	3.0000000	88.77	91.19	95.75	100.31	102.73	1.0000	0.0372
♀	4.0000000	95.70	98.40	103.51	108.62	111.32	1.0000	0.0385
♀	5.0000000	102.15	105.15	110.82	116.49	119.49	1.0000	0.0399
♀	6.0000000	108.16	111.43	117.59	123.75	127.02	1.0000	0.0409
♀	7.0000000	113.47	116.99	123.65	130.31	133.83	1.0000	0.0420
♀	8.0000000	118.48	122.29	129.49	136.69	140.50	1.0000	0.0434
♀	9.0000000	123.35	127.48	135.28	143.08	147.21	1.0000	0.0450
♀	10.0000000	128.40	132.82	141.18	149.54	153.96	1.0000	0.0462
♀	11.0000000	134.31	138.93	147.65	156.37	160.99	1.0000	0.0461
♀	12.0000000	140.91	145.55	154.31	163.07	167.71	1.0000	0.0443
♀	13.0000000	146.46	150.98	159.53	168.08	172.60	1.0000	0.0418
♀	14.0000000	149.95	154.38	162.74	171.10	175.53	1.0000	0.0401
♀	15.0000000	151.97	156.33	164.58	172.83	177.19	1.0000	0.0391
♀	16.0000000	152.85	157.19	165.39	173.59	177.93	1.0000	0.0387
♀	17.0000000	153.02	157.35	165.54	173.73	178.06	1.0000	0.0386
♀	18.0000000	153.26	157.59	165.77	173.95	178.28	1.0000	0.0385

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.3333333	5.33	5.83	6.84	7.94	8.56	0.4510	0.1206
♂	0.4166667	5.84	6.37	7.45	8.64	9.31	0.3604	0.1186
♂	0.5000000	6.28	6.83	7.96	9.22	9.94	0.2774	0.1169
♂	0.5833333	6.66	7.23	8.40	9.72	10.48	0.2022	0.1155
♂	0.6666667	7.00	7.58	8.79	10.16	10.96	0.1344	0.1144
♂	0.7500000	7.31	7.91	9.15	10.57	11.41	0.0734	0.1135
♂	0.8333333	7.59	8.19	9.47	10.94	11.81	0.0188	0.1128
♂	0.9166667	7.84	8.45	9.76	11.27	12.17	-0.0302	0.1123
♂	1.0000000	8.07	8.70	10.03	11.59	12.51	-0.0743	0.1119
♂	2.0000000	10.29	11.04	12.68	14.70	15.96	-0.4393	0.1117
♂	3.0000000	12.19	13.06	15.03	17.57	19.22	-0.7111	0.1152
♂	4.0000000	13.85	14.84	17.15	20.26	22.40	-0.9304	0.1206
♂	5.0000000	15.27	16.39	19.05	22.83	25.55	-1.1032	0.1279
♂	6.0000000	17.01	18.31	21.50	26.32	30.06	-1.2711	0.1392
♂	7.0000000	19.11	20.65	24.58	30.94	36.30	-1.3868	0.1537
♂	8.0000000	21.11	22.92	27.66	35.71	42.95	-1.4002	0.1676
♂	9.0000000	23.23	25.36	31.00	40.82	49.88	-1.3340	0.1797
♂	10.0000000	25.53	28.06	34.79	46.54	57.34	-1.2054	0.1915
♂	11.0000000	27.78	30.82	38.88	52.77	65.15	-1.0215	0.2047
♂	12.0000000	30.01	33.66	43.25	59.20	72.68	-0.8021	0.2166
♂	13.0000000	33.15	37.51	48.81	66.86	81.28	-0.6193	0.2231
♂	14.0000000	37.97	42.90	55.51	75.19	90.51	-0.5842	0.2170
♂	15.0000000	44.02	49.02	61.69	81.34	96.67	-0.7319	0.1953
♂	16.0000000	49.26	54.12	66.30	85.06	99.72	-0.9088	0.1740
♂	17.0000000	52.40	57.17	69.15	87.67	102.29	-1.0401	0.1641
♂	18.0000000	54.69	59.44	71.39	90.06	105.02	-1.1482	0.1591
♀	0.3333333	4.94	5.36	6.25	7.28	7.88	0.0417	0.1190
♀	0.4166667	5.44	5.88	6.82	7.91	8.56	-0.0074	0.1158
♀	0.5000000	5.85	6.32	7.30	8.45	9.13	-0.0549	0.1134
♀	0.5833333	6.22	6.70	7.72	8.92	9.63	-0.1013	0.1116
♀	0.6666667	6.54	7.03	8.09	9.33	10.08	-0.1469	0.1103
♀	0.7500000	6.83	7.34	8.43	9.72	10.49	-0.1904	0.1094
♀	0.8333333	7.11	7.63	8.75	10.08	10.89	-0.2321	0.1088
♀	0.9166667	7.37	7.91	9.06	10.44	11.28	-0.2724	0.1084
♀	1.0000000	7.61	8.15	9.34	10.76	11.63	-0.3101	0.1082
♀	2.0000000	9.74	10.43	11.95	13.87	15.09	-0.6039	0.1110
♀	3.0000000	11.63	12.48	14.42	16.95	18.61	-0.7236	0.1189
♀	4.0000000	13.23	14.25	16.60	19.78	21.96	-0.8367	0.1273
♀	5.0000000	14.86	16.04	18.84	22.79	25.60	-0.9453	0.1358
♀	6.0000000	16.64	18.01	21.35	26.22	29.84	-1.0172	0.1448
♀	7.0000000	18.43	20.05	24.06	30.13	34.81	-1.0369	0.1566
♀	8.0000000	20.19	22.13	27.01	34.67	40.79	-1.0011	0.1723
♀	9.0000000	22.13	24.48	30.55	40.34	48.38	-0.9150	0.1915
♀	10.0000000	24.25	27.14	34.68	47.04	57.30	-0.7974	0.2111
♀	11.0000000	26.81	30.28	39.37	54.28	66.58	-0.6929	0.2247
♀	12.0000000	30.64	34.59	44.87	61.51	75.03	-0.6719	0.2218
♀	13.0000000	35.29	39.41	50.02	67.08	80.94	-0.7827	0.2046
♀	14.0000000	39.59	43.62	54.01	70.84	84.80	-0.9906	0.1856
♀	15.0000000	42.85	46.75	56.80	73.29	87.32	-1.2062	0.1712
♀	16.0000000	44.95	48.74	58.53	74.74	88.81	-1.3656	0.1622
♀	17.0000000	46.10	49.83	59.47	75.54	89.68	-1.4641	0.1575
♀	18.0000000	46.85	50.54	60.08	76.07	90.27	-1.5340	0.1545

HIP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	11	63.56	67.58	76.81	89.10	97.42	-1.0677	0.1071
♂	12	66.66	70.56	79.61	91.88	100.37	-1.3074	0.1020
♂	13	70.07	73.87	82.76	95.00	103.63	-1.5471	0.0969
♂	14	73.73	77.45	86.17	98.32	107.03	-1.7867	0.0917
♂	15	77.26	80.87	89.39	101.36	110.06	-2.0264	0.0866
♂	16	80.21	83.69	91.92	103.56	112.08	-2.2661	0.0815
♂	17	82.38	85.71	93.55	104.67	112.87	-2.5058	0.0764
♂	18	84.26	87.42	94.86	105.40	113.17	-2.7406	0.0714
♀	11	64.47	68.60	78.16	91.08	99.97	-1.1247	0.1097
♀	12	69.44	73.33	82.50	95.37	104.64	-1.5803	0.1011
♀	13	74.13	77.80	86.55	99.16	108.57	-2.0189	0.0928
♀	14	78.04	81.51	89.85	102.05	111.37	-2.4011	0.0856
♀	15	80.93	84.25	92.23	103.99	113.09	-2.6999	0.0800
♀	16	82.93	86.14	93.84	105.21	114.05	-2.9144	0.0759
♀	17	84.32	87.44	94.94	106.01	114.61	-3.0660	0.0730
♀	18	85.42	88.48	95.81	106.62	115.03	-3.1881	0.0707

WAIST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	11	53.41	56.44	64.08	76.50	87.31	-2.2079	0.1144
♂	12	55.34	58.36	65.99	78.44	89.37	-2.3312	0.1110
♂	13	57.33	60.34	67.95	80.40	91.42	-2.4545	0.1076
♂	14	59.37	62.37	69.96	82.40	93.46	-2.5779	0.1042
♂	15	61.40	64.39	71.94	84.34	95.41	-2.7012	0.1009
♂	16	63.32	66.29	73.78	86.06	97.06	-2.8246	0.0975
♂	17	65.12	68.05	75.45	87.56	98.40	-2.9479	0.0941
♂	18	66.82	69.72	77.01	88.92	99.56	-3.0687	0.0908
♀	11	51.91	54.73	61.96	74.20	85.58	-2.4900	0.1134
♀	12	54.25	56.99	64.04	76.07	87.48	-2.7470	0.1072
♀	13	56.33	58.99	65.83	77.55	88.78	-2.9881	0.1013
♀	14	57.94	60.53	67.18	78.58	89.56	-3.1900	0.0965
♀	15	59.11	61.64	68.13	79.23	89.90	-3.3432	0.0927
♀	16	59.93	62.42	68.78	79.67	90.12	-3.4532	0.0901
♀	17	60.52	62.97	69.25	79.97	90.23	-3.5318	0.0882
♀	18	61.01	63.44	69.64	80.21	90.31	-3.5982	0.0866

WHR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	11	0.73	0.75	0.80	0.86	0.90	-1.7545	0.0525
♀	12	0.71	0.73	0.78	0.84	0.88	-1.9200	0.0529
♀	13	0.70	0.72	0.76	0.82	0.86	-2.0866	0.0533
♀	14	0.68	0.70	0.75	0.81	0.85	-2.2532	0.0536
♀	15	0.67	0.70	0.74	0.80	0.84	-2.4198	0.0540
♀	16	0.67	0.69	0.73	0.79	0.83	-2.5864	0.0544
♀	17	0.67	0.69	0.73	0.79	0.83	-2.7529	0.0547
♀	18	0.66	0.68	0.73	0.79	0.83	-2.9165	0.0551
♂	11	0.77	0.79	0.84	0.90	0.94	-2.7301	0.0497
♂	12	0.76	0.78	0.83	0.89	0.93	-2.4993	0.0500
♂	13	0.75	0.78	0.82	0.88	0.92	-2.2672	0.0503
♂	14	0.75	0.77	0.82	0.87	0.91	-2.0537	0.0506
♂	15	0.74	0.76	0.81	0.87	0.91	-1.8996	0.0509
♂	16	0.74	0.76	0.81	0.87	0.90	-1.8348	0.0509
♂	17	0.74	0.76	0.81	0.87	0.90	-1.8228	0.0510
♂	18	0.74	0.76	0.81	0.87	0.90	-1.7940	0.0510

WHTR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	11	0.37	0.39	0.44	0.51	0.58	-2.5680	0.1004
♂	12	0.37	0.39	0.43	0.51	0.57	-2.6735	0.0991
♂	13	0.37	0.38	0.43	0.50	0.56	-2.7791	0.0979
♂	14	0.36	0.38	0.42	0.49	0.55	-2.8846	0.0966
♂	15	0.36	0.38	0.42	0.49	0.55	-2.9902	0.0954
♂	16	0.36	0.38	0.42	0.49	0.55	-3.0957	0.0942
♂	17	0.37	0.38	0.42	0.49	0.56	-3.2013	0.0929
♂	18	0.37	0.39	0.43	0.50	0.56	-3.3047	0.0917
♀	11	0.36	0.37	0.42	0.49	0.56	-3.2686	0.0969
♀	12	0.36	0.37	0.42	0.49	0.55	-3.2512	0.0960
♀	13	0.36	0.37	0.41	0.48	0.55	-3.2336	0.0952
♀	14	0.36	0.37	0.41	0.48	0.55	-3.2159	0.0943
♀	15	0.36	0.37	0.41	0.48	0.55	-3.1983	0.0935
♀	16	0.36	0.38	0.42	0.48	0.55	-3.1807	0.0926
♀	17	0.36	0.38	0.42	0.48	0.55	-3.1631	0.0918
♀	18	0.37	0.38	0.42	0.49	0.55	-3.1458	0.0909

BODYFAT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	8	8.88	10.60	15.53	24.81	33.44	-0.4822	0.3271
♂	9	9.28	11.20	16.84	27.92	38.67	-0.4717	0.3509
♂	10	9.53	11.64	18.02	31.18	44.61	-0.4612	0.3780
♂	11	9.50	11.75	18.75	33.93	50.25	-0.4508	0.4061
♂	12	9.17	11.46	18.76	35.22	53.67	-0.4403	0.4293
♂	13	8.52	10.74	17.94	34.66	53.95	-0.4299	0.4475
♂	14	7.54	9.57	16.24	32.09	50.76	-0.4194	0.4622
♂	15	6.81	8.68	14.85	29.57	46.93	-0.4090	0.4683
♂	16	6.86	8.74	14.87	29.21	45.71	-0.3985	0.4619
♂	17	7.27	9.22	15.49	29.67	45.37	-0.3881	0.4483
♂	18	7.88	9.93	16.43	30.60	45.63	-0.3778	0.4324
♀	8	10.66	12.64	18.06	27.26	34.90	-0.3762	0.2977
♀	9	11.02	13.17	19.12	29.37	37.96	-0.3540	0.3107
♀	10	11.40	13.72	20.17	31.37	40.81	-0.3318	0.3206
♀	11	11.95	14.42	21.23	32.96	42.72	-0.3096	0.3208
♀	12	12.74	15.31	22.28	33.94	43.37	-0.2874	0.3093
♀	13	13.70	16.33	23.34	34.62	43.43	-0.2652	0.2921
♀	14	14.69	17.39	24.39	35.27	43.49	-0.2430	0.2753
♀	15	15.70	18.45	25.44	35.96	43.67	-0.2208	0.2599
♀	16	16.74	19.53	26.50	36.67	43.93	-0.1986	0.2454
♀	17	17.54	20.42	27.55	37.79	45.00	-0.1764	0.2398
♀	18	18.10	21.13	28.59	39.27	46.76	-0.1547	0.2417

SKINFOLDSUM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.3333333	13.60	15.32	19.19	24.02	27.05	0.0073	0.1754
♂	0.4166667	13.44	15.14	18.98	23.81	26.85	-0.0138	0.1765
♂	0.5000000	13.28	14.96	18.77	23.59	26.65	-0.0349	0.1777
♂	0.5833333	13.11	14.77	18.55	23.36	26.43	-0.0560	0.1789
♂	0.6666667	12.95	14.59	18.34	23.15	26.23	-0.0771	0.1801
♂	0.7500000	12.79	14.41	18.13	22.93	26.02	-0.0982	0.1812
♂	0.8333333	12.63	14.24	17.93	22.73	25.84	-0.1193	0.1824
♂	0.9166667	12.48	14.07	17.73	22.52	25.64	-0.1404	0.1835
♂	1.0000000	12.34	13.91	17.54	22.32	25.46	-0.1614	0.1846
♂	2.0000000	11.23	12.63	16.05	20.93	24.40	-0.4094	0.1964
♂	3.0000000	11.02	12.36	15.74	20.96	25.00	-0.6416	0.2042
♂	4.0000000	10.79	12.06	15.40	20.96	25.66	-0.8459	0.2116
♂	5.0000000	10.27	11.49	14.81	20.82	26.50	-0.9965	0.2253
♂	6.0000000	10.09	11.35	14.91	21.96	29.53	-1.0721	0.2473
♂	7.0000000	9.78	11.13	15.12	23.83	34.59	-1.0587	0.2822
♂	8.0000000	9.64	11.15	15.79	26.68	41.40	-0.9631	0.3221
♂	9.0000000	9.79	11.55	17.08	30.50	48.96	-0.8249	0.3602
♂	10.0000000	10.09	12.14	18.72	34.76	56.12	-0.6887	0.3934
♂	11.0000000	10.51	12.85	20.40	38.79	62.51	-0.6008	0.4160
♂	12.0000000	10.79	13.25	21.23	40.93	66.74	-0.5915	0.4246
♂	13.0000000	10.77	13.13	20.86	40.55	68.03	-0.6495	0.4215
♂	14.0000000	10.58	12.76	19.89	38.70	67.06	-0.7395	0.4107
♂	15.0000000	10.53	12.57	19.23	36.81	63.95	-0.8039	0.3958
♂	16.0000000	10.87	12.92	19.47	36.09	60.25	-0.8064	0.3799
♂	17.0000000	11.35	13.46	20.08	35.86	56.69	-0.7696	0.3653
♂	18.0000000	12.05	14.26	21.05	36.34	54.79	-0.7300	0.3514
♀	0.3333333	12.85	14.62	18.74	24.16	27.71	-0.0943	0.1959
♀	0.4166667	12.77	14.53	18.64	24.07	27.63	-0.1013	0.1969
♀	0.5000000	12.68	14.44	18.54	23.98	27.56	-0.1083	0.1979
♀	0.5833333	12.59	14.34	18.43	23.87	27.46	-0.1153	0.1989
♀	0.6666667	12.50	14.25	18.33	23.78	27.38	-0.1224	0.1998
♀	0.7500000	12.42	14.15	18.23	23.68	27.30	-0.1294	0.2008
♀	0.8333333	12.34	14.06	18.13	23.59	27.22	-0.1364	0.2017
♀	0.9166667	12.25	13.97	18.03	23.49	27.14	-0.1434	0.2026
♀	1.0000000	12.18	13.89	17.94	23.41	27.07	-0.1504	0.2035
♀	2.0000000	11.59	13.23	17.21	22.77	26.62	-0.2356	0.2115
♀	3.0000000	11.52	13.14	17.16	22.97	27.13	-0.3224	0.2172
♀	4.0000000	11.50	13.14	17.28	23.51	28.15	-0.4074	0.2258
♀	5.0000000	11.29	12.95	17.27	24.13	29.54	-0.4877	0.2409
♀	6.0000000	11.02	12.73	17.35	25.22	31.89	-0.5569	0.2634
♀	7.0000000	10.89	12.72	17.87	27.44	36.39	-0.6069	0.2947
♀	8.0000000	10.99	12.99	18.88	30.82	43.19	-0.6309	0.3289
♀	9.0000000	11.35	13.57	20.32	35.00	51.54	-0.6313	0.3591
♀	10.0000000	11.80	14.24	21.81	38.92	59.08	-0.6135	0.3804
♀	11.0000000	12.31	14.93	23.13	41.67	63.34	-0.5816	0.3890
♀	12.0000000	12.99	15.80	24.47	43.41	64.40	-0.5372	0.3850
♀	13.0000000	13.90	16.91	26.02	44.82	64.11	-0.4804	0.3734
♀	14.0000000	14.99	18.24	27.81	46.36	63.94	-0.4135	0.3594
♀	15.0000000	16.12	19.63	29.64	47.89	63.99	-0.3407	0.3454
♀	16.0000000	17.21	20.97	31.41	49.40	64.30	-0.2650	0.3329
♀	17.0000000	18.09	22.12	33.07	51.11	65.36	-0.1902	0.3260
♀	18.0000000	18.80	23.11	34.65	53.03	67.03	-0.1195	0.3237

SFTRICEPS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.3333333	7.82	8.87	11.38	14.83	17.18	-0.2374	0.2003
♂	0.4166667	7.74	8.79	11.29	14.73	17.09	-0.2382	0.2013
♂	0.5000000	7.66	8.70	11.19	14.63	16.98	-0.2390	0.2024
♂	0.5833333	7.59	8.62	11.10	14.53	16.88	-0.2398	0.2034
♂	0.6666667	7.51	8.54	11.01	14.43	16.78	-0.2406	0.2044
♂	0.7500000	7.44	8.46	10.92	14.33	16.68	-0.2414	0.2054
♂	0.8333333	7.36	8.38	10.83	14.23	16.58	-0.2422	0.2064
♂	0.9166667	7.29	8.30	10.74	14.14	16.48	-0.2431	0.2074
♂	1.0000000	7.22	8.23	10.66	14.05	16.39	-0.2439	0.2084
♂	2.0000000	6.64	7.61	9.99	13.37	15.75	-0.2535	0.2194
♂	3.0000000	6.50	7.48	9.91	13.42	15.93	-0.2632	0.2276
♂	4.0000000	6.37	7.37	9.86	13.53	16.18	-0.2729	0.2364
♂	5.0000000	6.07	7.08	9.64	13.53	16.41	-0.2825	0.2521
♂	6.0000000	5.83	6.88	9.65	14.04	17.44	-0.2922	0.2772
♂	7.0000000	5.62	6.75	9.84	15.06	19.33	-0.3018	0.3116
♂	8.0000000	5.53	6.76	10.27	16.60	22.11	-0.3115	0.3481
♂	9.0000000	5.67	7.03	11.04	18.74	25.84	-0.3212	0.3796
♂	10.0000000	5.95	7.46	12.03	21.24	30.17	-0.3308	0.4045
♂	11.0000000	6.25	7.89	12.95	23.53	34.18	-0.3405	0.4217
♂	12.0000000	6.33	8.01	13.29	24.59	36.27	-0.3502	0.4319
♂	13.0000000	6.07	7.69	12.83	24.02	35.83	-0.3598	0.4381
♂	14.0000000	5.62	7.12	11.90	22.44	33.74	-0.3695	0.4413
♂	15.0000000	5.25	6.64	11.08	20.93	31.58	-0.3791	0.4411
♂	16.0000000	5.14	6.49	10.78	20.28	30.58	-0.3888	0.4373
♂	17.0000000	5.22	6.57	10.83	20.24	30.42	-0.3985	0.4320
♂	18.0000000	5.41	6.78	11.11	20.62	30.87	-0.4079	0.4264
♀	0.3333333	6.96	8.09	10.79	14.46	16.91	-0.0537	0.2264
♀	0.4166667	6.96	8.09	10.80	14.48	16.95	-0.0544	0.2271
♀	0.5000000	6.95	8.09	10.81	14.51	16.99	-0.0551	0.2279
♀	0.5833333	6.95	8.09	10.82	14.54	17.04	-0.0558	0.2287
♀	0.6666667	6.94	8.08	10.82	14.55	17.06	-0.0565	0.2294
♀	0.7500000	6.94	8.08	10.83	14.58	17.11	-0.0572	0.2302
♀	0.8333333	6.93	8.08	10.84	14.61	17.15	-0.0579	0.2309
♀	0.9166667	6.93	8.08	10.85	14.64	17.19	-0.0586	0.2316
♀	1.0000000	6.93	8.08	10.86	14.66	17.23	-0.0593	0.2323
♀	2.0000000	6.90	8.07	10.92	14.86	17.54	-0.0645	0.2380
♀	3.0000000	6.89	8.07	10.94	14.92	17.62	-0.0659	0.2394
♀	4.0000000	6.86	8.07	11.00	15.11	17.92	-0.0708	0.2448
♀	5.0000000	6.82	8.05	11.11	15.45	18.47	-0.0797	0.2542
♀	6.0000000	6.76	8.05	11.32	16.09	19.48	-0.0945	0.2699
♀	7.0000000	6.70	8.09	11.69	17.17	21.21	-0.1171	0.2935
♀	8.0000000	6.72	8.24	12.30	18.82	23.83	-0.1439	0.3219
♀	9.0000000	6.88	8.54	13.12	20.84	27.04	-0.1670	0.3476
♀	10.0000000	7.12	8.91	13.96	22.75	30.02	-0.1784	0.3651
♀	11.0000000	7.37	9.27	14.67	24.16	32.06	-0.1746	0.3729
♀	12.0000000	7.68	9.67	15.32	25.13	33.18	-0.1543	0.3717
♀	13.0000000	8.10	10.21	16.07	25.94	33.79	-0.1146	0.3635
♀	14.0000000	8.64	10.89	16.99	26.81	34.30	-0.0563	0.3515
♀	15.0000000	9.26	11.66	18.00	27.71	34.77	0.0147	0.3376
♀	16.0000000	9.86	12.43	19.02	28.63	35.34	0.0922	0.3253
♀	17.0000000	10.30	13.07	19.97	29.66	36.20	0.1700	0.3194
♀	18.0000000	10.60	13.57	20.84	30.74	37.23	0.2438	0.3180

kro.ref

Citations

• Kromeyer-Hauschild et al. Percentiles of body mass index in children and adolescents evaluated from different regional German studies

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.000	10.11	10.99	12.58	14.12	14.90	1.3386	0.0969
♀	0.083	11.90	12.71	14.29	15.94	16.83	0.6644	0.0880
♀	0.167	12.54	13.34	14.94	16.63	17.57	0.4524	0.0858
♀	0.250	13.01	13.81	15.41	17.14	18.11	0.2946	0.0844
♀	0.333	13.35	14.14	15.75	17.51	18.50	0.1689	0.0833
♀	0.417	13.60	14.38	15.99	17.77	18.78	0.0617	0.0824
♀	0.500	13.77	14.55	16.16	17.95	18.98	-0.0324	0.0818
♀	0.583	13.90	14.67	16.27	18.07	19.11	-0.1165	0.0813
♀	0.667	13.96	14.73	16.33	18.14	19.19	-0.1890	0.0811
♀	0.750	14.02	14.79	16.38	18.20	19.27	-0.2615	0.0810
♀	0.833	14.06	14.82	16.41	18.23	19.31	-0.3270	0.0810
♀	0.917	14.06	14.82	16.41	18.25	19.34	-0.3868	0.0811
♀	1.000	14.06	14.81	16.40	18.25	19.35	-0.4425	0.0814
♀	2.000	13.60	14.33	15.93	17.92	19.18	-0.9153	0.0871
♀	3.000	13.21	13.93	15.54	17.64	19.02	-1.1938	0.0915
♀	4.000	12.98	13.69	15.33	17.54	19.04	-1.3816	0.0955
♀	5.000	12.89	13.61	15.32	17.69	19.38	-1.5241	0.1009
♀	6.000	12.84	13.59	15.39	17.99	19.92	-1.6199	0.1075
♀	7.000	12.89	13.69	15.62	18.51	20.73	-1.6575	0.1153
♀	8.000	13.07	13.92	16.03	19.25	21.82	-1.6383	0.1235
♀	9.000	13.28	14.19	16.48	20.04	22.93	-1.5798	0.1313
♀	10.000	13.50	14.48	16.94	20.80	23.97	-1.5051	0.1379
♀	11.000	13.84	14.88	17.50	21.61	24.97	-1.4277	0.1423
♀	12.000	14.33	15.43	18.19	22.48	25.94	-1.3576	0.1437
♀	13.000	14.92	16.07	18.94	23.33	26.79	-1.2987	0.1426
♀	14.000	15.52	16.71	19.64	24.05	27.46	-1.2485	0.1398
♀	15.000	16.04	17.26	20.22	24.59	27.88	-1.2022	0.1360
♀	16.000	16.46	17.69	20.64	24.91	28.06	-1.1565	0.1319
♀	17.000	16.81	18.04	20.96	25.11	28.11	-1.1118	0.1277
♀	18.000	17.14	18.36	21.25	25.28	28.13	-1.0687	0.1236
♀	19.000	17.41	18.66	21.60	25.69	28.59	-1.0687	0.1236
♂	0.000	10.09	11.01	12.68	14.28	15.10	1.3057	0.1005
♂	0.083	12.24	13.05	14.70	16.54	17.59	0.1139	0.0925
♂	0.167	13.00	13.79	15.46	17.36	18.48	-0.1494	0.0897
♂	0.250	13.52	14.31	15.98	17.92	19.07	-0.3260	0.0876
♂	0.333	13.88	14.66	16.33	18.28	19.46	-0.4616	0.0860
♂	0.417	14.12	14.89	16.54	18.50	19.69	-0.5706	0.0847
♂	0.500	14.29	15.06	16.70	18.66	19.86	-0.6670	0.0836
♂	0.583	14.40	15.16	16.79	18.75	19.96	-0.7491	0.0828
♂	0.667	14.47	15.22	16.84	18.80	20.01	-0.8219	0.0822
♂	0.750	14.51	15.24	16.85	18.81	20.02	-0.8857	0.0817
♂	0.833	14.53	15.26	16.85	18.80	20.02	-0.9466	0.0812
♂	0.917	14.52	15.25	16.83	18.77	20.00	-1.0008	0.0809
♂	1.000	14.50	15.22	16.79	18.73	19.96	-1.0508	0.0807
♂	2.000	13.92	14.58	16.08	18.01	19.30	-1.4526	0.0818
♂	3.000	13.48	14.13	15.62	17.62	19.00	-1.6721	0.0852
♂	4.000	13.29	13.94	15.45	17.54	19.02	-1.8042	0.0885
♂	5.000	13.17	13.83	15.40	17.61	19.23	-1.8810	0.0927
♂	6.000	13.10	13.79	15.45	17.86	19.68	-1.9177	0.0989
♂	7.000	13.15	13.88	15.66	18.34	20.43	-1.9234	0.1062
♂	8.000	13.28	14.07	16.01	19.01	21.44	-1.9060	0.1143
♂	9.000	13.47	14.31	16.42	19.78	22.59	-1.8719	0.1226
♂	10.000	13.70	14.60	16.89	20.60	23.80	-1.8265	0.1300
♂	11.000	14.01	14.97	17.41	21.43	24.94	-1.7745	0.1356
♂	12.000	14.40	15.41	17.99	22.25	25.96	-1.7193	0.1387
♂	13.000	14.86	15.92	18.62	23.01	26.80	-1.6630	0.1395
♂	14.000	15.38	16.48	19.26	23.72	27.48	-1.6065	0.1383
♂	15.000	15.91	17.05	19.89	24.36	28.03	-1.5503	0.1358
♂	16.000	16.44	17.60	20.48	24.92	28.47	-1.4947	0.1327
♂	17.000	16.95	18.13	21.04	25.44	28.86	-1.4401	0.1295
♂	18.000	17.43	18.63	21.57	25.91	29.22	-1.3867	0.1265
♂	19.000	18.34	19.61	22.70	27.27	30.76	-1.3867	0.1265

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	-0.326	26.60	28.09	30.90	33.71	35.20	1.00	0.0710
♀	-0.307	27.55	29.09	32.00	34.91	36.45	1.00	0.0710
♀	-0.287	28.32	30.01	33.20	36.39	38.08	1.00	0.0750
♀	-0.268	29.29	31.10	34.50	37.90	39.71	1.00	0.0770
♀	-0.249	30.27	32.22	35.90	39.58	41.53	1.00	0.0800
♀	-0.230	31.38	33.43	37.30	41.17	43.22	1.00	0.0810
♀	-0.211	32.79	34.87	38.80	42.73	44.81	1.00	0.0790
♀	-0.192	34.10	36.21	39.94	43.40	45.14	1.83	0.0700
♀	-0.172	35.42	37.50	41.25	44.81	46.62	1.60	0.0690
♀	-0.153	36.96	38.97	42.69	46.31	48.19	1.31	0.0670
♀	-0.134	38.28	40.59	44.40	47.70	49.30	2.79	0.0620
♀	-0.115	40.15	42.11	45.61	48.90	50.57	1.84	0.0580
♀	-0.096	41.78	43.69	47.28	50.84	52.71	1.11	0.0590
♀	-0.077	43.69	45.33	48.36	51.29	52.80	1.54	0.0480
♀	-0.057	44.92	46.50	49.48	52.46	54.03	1.03	0.0470
♀	-0.038	45.95	47.49	50.40	53.31	54.85	1.00	0.0450
♀	-0.019	46.88	48.38	51.20	54.02	55.52	1.00	0.0430
♀	0.000	46.68	48.22	51.11	54.01	55.54	1.00	0.0442
♀	0.083	49.15	50.75	53.77	56.79	58.39	1.00	0.0438
♀	0.167	51.62	53.28	56.42	59.56	61.23	1.00	0.0434
♀	0.250	54.09	55.81	59.06	62.31	64.04	1.00	0.0430
♀	0.333	56.49	58.26	61.60	64.95	66.72	1.00	0.0424
♀	0.417	58.76	60.58	64.00	67.43	69.24	1.00	0.0418
♀	0.500	60.87	62.72	66.21	69.70	71.54	1.00	0.0411
♀	0.583	62.77	64.64	68.18	71.71	73.59	1.00	0.0405
♀	0.667	64.34	66.24	69.81	73.39	75.28	1.00	0.0400
♀	0.750	65.92	67.84	71.45	75.06	76.97	1.00	0.0395
♀	0.833	67.32	69.25	72.89	76.54	78.47	1.00	0.0390
♀	0.917	68.56	70.51	74.19	77.87	79.82	1.00	0.0387
♀	1.000	69.70	71.67	75.40	79.12	81.09	1.00	0.0385
♀	2.000	79.87	82.19	86.57	90.95	93.27	1.00	0.0395
♀	3.000	87.69	90.38	95.45	100.52	103.21	1.00	0.0415
♀	4.000	94.94	97.94	103.61	109.27	112.27	1.00	0.0427
♀	5.000	101.55	104.81	110.97	117.13	120.39	1.00	0.0433
♀	6.000	107.85	111.32	117.88	124.43	127.90	1.00	0.0434
♀	7.000	113.04	116.69	123.59	130.48	134.13	1.00	0.0435
♀	8.000	117.87	121.75	129.09	136.43	140.31	1.00	0.0444
♀	9.000	123.45	127.67	135.63	143.59	147.81	1.00	0.0458
♀	10.000	128.08	132.67	141.34	150.01	154.59	1.00	0.0479
♀	11.000	132.83	137.78	147.12	156.47	161.42	1.00	0.0496
♀	12.000	138.98	144.07	153.70	163.32	168.42	1.00	0.0489
♀	13.000	145.06	149.98	159.29	168.60	173.52	1.00	0.0456
♀	14.000	149.39	154.10	162.98	171.87	176.57	1.00	0.0425
♀	15.000	151.90	156.47	165.09	173.71	178.27	1.00	0.0407
♀	16.000	153.23	157.71	166.19	174.66	179.15	1.00	0.0398
♀	17.000	154.49	158.91	167.24	175.58	179.99	1.00	0.0389
♀	18.000	155.59	159.94	168.15	176.36	180.71	1.00	0.0381
♀	19.000	154.53	158.84	167.00	175.16	179.47	1.00	0.0381
♂	-0.326	26.75	28.22	31.00	33.78	35.25	1.00	0.0700
♂	-0.307	27.59	29.19	32.20	35.21	36.81	1.00	0.0730
♂	-0.287	28.51	30.24	33.50	36.76	38.49	1.00	0.0760
♂	-0.268	29.49	31.34	34.71	37.94	39.59	1.45	0.0740
♂	-0.249	30.48	32.50	36.22	39.84	41.72	1.28	0.0790
♂	-0.230	31.54	33.71	37.60	41.25	43.10	1.63	0.0780
♂	-0.211	32.76	34.98	38.85	42.38	44.14	1.96	0.0740
♂	-0.192	34.37	36.59	40.41	43.87	45.59	2.10	0.0700
♂	-0.172	35.66	37.95	41.87	45.39	47.13	2.21	0.0690
♂	-0.153	37.22	39.39	43.48	47.53	49.66	1.09	0.0730
♂	-0.134	38.82	41.00	45.10	49.20	51.38	1.00	0.0710
♂	-0.115	40.15	42.27	46.10	49.73	51.58	1.66	0.0630
♂	-0.096	42.54	44.30	47.61	50.89	52.62	1.10	0.0540
♂	-0.077	44.25	45.92	49.06	52.20	53.87	1.01	0.0500
♂	-0.057	45.29	47.01	50.07	52.92	54.36	2.19	0.0460
♂	-0.038	46.50	48.06	51.00	53.94	55.50	1.00	0.0450
♂	-0.019	47.54	49.01	51.80	54.59	56.06	1.00	0.0420
♂	0.000	46.83	48.46	51.54	54.61	56.24	1.00	0.0466
♂	0.083	49.64	51.34	54.56	57.78	59.48	1.00	0.0460
♂	0.167	52.48	54.25	57.61	60.96	62.74	1.00	0.0454
♂	0.250	55.27	57.11	60.59	64.07	65.91	1.00	0.0448
♂	0.333	57.84	59.74	63.32	66.90	68.79	1.00	0.0441
♂	0.417	60.12	62.05	65.71	69.37	71.31	1.00	0.0434
♂	0.500	62.19	64.16	67.88	71.60	73.57	1.00	0.0428
♂	0.583	63.98	65.97	69.74	73.50	75.49	1.00	0.0421
♂	0.667	65.56	67.57	71.38	75.18	77.19	1.00	0.0416
♂	0.750	66.96	68.99	72.83	76.66	78.69	1.00	0.0411
♂	0.833	68.31	70.36	74.22	78.09	80.13	1.00	0.0406
♂	0.917	69.54	71.60	75.50	79.40	81.46	1.00	0.0403
♂	1.000	70.71	72.79	76.72	80.65	82.74	1.00	0.0400
♂	2.000	81.25	83.61	88.07	92.52	94.88	1.00	0.0395
♂	3.000	88.75	91.42	96.47	101.52	104.19	1.00	0.0408
♂	4.000	95.50	98.47	104.07	109.68	112.65	1.00	0.0420
♂	5.000	102.29	105.54	111.68	117.82	121.07	1.00	0.0429
♂	6.000	108.43	111.89	118.43	124.97	128.43	1.00	0.0431
♂	7.000	113.86	117.51	124.40	131.28	134.93	1.00	0.0432
♂	8.000	118.80	122.65	129.93	137.21	141.07	1.00	0.0437
♂	9.000	124.31	128.49	136.40	144.31	148.49	1.00	0.0452
♂	10.000	128.43	132.99	141.62	150.25	154.82	1.00	0.0475
♂	11.000	131.89	136.84	146.20	155.56	160.52	1.00	0.0500
♂	12.000	136.23	141.63	151.82	162.02	167.42	1.00	0.0524
♂	13.000	142.41	148.19	159.12	170.05	175.83	1.00	0.0536
♂	14.000	149.76	155.56	166.50	177.45	183.25	1.00	0.0513
♂	15.000	156.81	162.27	172.59	182.90	188.36	1.00	0.0466
♂	16.000	161.88	166.97	176.60	186.23	191.32	1.00	0.0425
♂	17.000	165.39	170.20	179.28	188.36	193.17	1.00	0.0395
♂	18.000	167.31	171.95	180.72	189.48	194.12	1.00	0.0378
♂	19.000	167.57	172.22	181.00	189.78	194.43	1.00	0.0378

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	-0.326	0.38	0.45	0.58	0.70	0.76	1.3500	0.1630
♀	-0.307	0.43	0.52	0.67	0.80	0.87	1.5900	0.1630
♀	-0.287	0.49	0.58	0.76	0.94	1.03	1.0000	0.1820
♀	-0.268	0.52	0.66	0.88	1.07	1.16	1.6400	0.1790
♀	-0.249	0.57	0.74	1.00	1.22	1.33	1.6500	0.1870
♀	-0.230	0.63	0.82	1.12	1.39	1.52	1.5200	0.1970
♀	-0.211	0.69	0.90	1.25	1.56	1.71	1.4900	0.2020
♀	-0.192	0.77	1.02	1.42	1.77	1.94	1.5300	0.2030
♀	-0.172	0.81	1.11	1.59	2.01	2.22	1.4900	0.2200
♀	-0.153	1.00	1.31	1.79	2.19	2.38	1.7400	0.1890
♀	-0.134	1.14	1.49	2.03	2.49	2.72	1.6500	0.1910
♀	-0.115	1.37	1.70	2.27	2.78	3.04	1.4200	0.1840
♀	-0.096	1.68	1.98	2.55	3.12	3.42	1.0000	0.1740
♀	-0.077	1.89	2.20	2.76	3.31	3.60	1.1200	0.1570
♀	-0.057	2.14	2.43	2.97	3.51	3.80	1.0000	0.1430
♀	-0.038	2.37	2.64	3.16	3.69	3.98	0.8900	0.1300
♀	-0.019	2.52	2.79	3.32	3.85	4.13	0.9700	0.1240
♀	0.000	2.39	2.71	3.31	3.89	4.19	1.1294	0.1385
♀	0.083	2.95	3.33	4.04	4.75	5.12	1.0403	0.1373
♀	0.167	3.50	3.93	4.76	5.59	6.04	0.9523	0.1361
♀	0.250	4.03	4.52	5.45	6.40	6.91	0.8661	0.1350
♀	0.333	4.54	5.06	6.09	7.15	7.73	0.7829	0.1339
♀	0.417	5.00	5.56	6.66	7.83	8.46	0.7035	0.1328
♀	0.500	5.42	6.01	7.19	8.44	9.13	0.6283	0.1319
♀	0.583	5.80	6.41	7.65	8.98	9.73	0.5577	0.1311
♀	0.667	6.12	6.76	8.04	9.44	10.23	0.4946	0.1304
♀	0.750	6.44	7.10	8.44	9.91	10.74	0.4315	0.1298
♀	0.833	6.73	7.40	8.79	10.32	11.20	0.3739	0.1294
♀	0.917	6.99	7.68	9.11	10.70	11.61	0.3215	0.1290
♀	1.000	7.24	7.94	9.40	11.05	12.00	0.2731	0.1288
♀	2.000	9.32	10.15	11.97	14.15	15.49	-0.1032	0.1296
♀	3.000	11.03	11.99	14.15	16.86	18.59	-0.3534	0.1329
♀	4.000	12.75	13.86	16.40	19.76	22.00	-0.5687	0.1380
♀	5.000	14.57	15.85	18.87	23.07	26.02	-0.7581	0.1455
♀	6.000	16.32	17.78	21.33	26.49	30.30	-0.8816	0.1540
♀	7.000	17.94	19.61	23.72	29.91	34.61	-0.9255	0.1627
♀	8.000	19.88	21.83	26.71	34.17	39.94	-0.8910	0.1725
♀	9.000	22.24	24.57	30.40	39.28	46.09	-0.7914	0.1809
♀	10.000	24.26	26.99	33.81	44.15	52.03	-0.6901	0.1902
♀	11.000	26.47	29.69	37.74	49.82	58.87	-0.5667	0.2005
♀	12.000	29.86	33.62	42.86	56.24	65.89	-0.4426	0.1999
♀	13.000	34.39	38.45	48.24	61.98	71.61	-0.4223	0.1857
♀	14.000	38.61	42.76	52.67	66.46	76.06	-0.4979	0.1714
♀	15.000	41.88	46.00	55.76	69.25	78.63	-0.5835	0.1589
♀	16.000	43.91	47.94	57.41	70.39	79.33	-0.6328	0.1492
♀	17.000	45.08	49.04	58.32	70.92	79.56	-0.6624	0.1432
♀	18.000	45.81	49.73	58.87	71.24	79.67	-0.6813	0.1395
♀	19.000	47.08	51.11	60.50	73.21	81.88	-0.6813	0.1395
♂	-0.326	0.40	0.47	0.60	0.72	0.78	1.3600	0.1580
♂	-0.307	0.46	0.54	0.69	0.84	0.92	1.0000	0.1690
♂	-0.287	0.51	0.62	0.80	0.95	1.03	1.7400	0.1610
♂	-0.268	0.56	0.71	0.94	1.12	1.20	2.1500	0.1630
♂	-0.249	0.62	0.82	1.08	1.28	1.36	2.4700	0.1610
♂	-0.230	0.69	0.92	1.22	1.45	1.55	2.4700	0.1640
♂	-0.211	0.72	0.98	1.35	1.63	1.76	2.1900	0.1820
♂	-0.192	0.84	1.13	1.52	1.82	1.96	2.2700	0.1730
♂	-0.172	0.94	1.22	1.69	2.13	2.35	1.2800	0.2100
♂	-0.153	1.06	1.40	1.89	2.29	2.47	1.9500	0.1800
♂	-0.134	1.21	1.57	2.13	2.60	2.82	1.7400	0.1850
♂	-0.115	1.44	1.80	2.39	2.89	3.14	1.6600	0.1760
♂	-0.096	1.75	2.06	2.64	3.21	3.51	1.0500	0.1700
♂	-0.077	2.04	2.32	2.86	3.40	3.68	1.0000	0.1470
♂	-0.057	2.27	2.55	3.09	3.63	3.91	1.0000	0.1360
♂	-0.038	2.47	2.76	3.30	3.84	4.13	0.9800	0.1280
♂	-0.019	2.65	2.93	3.47	4.01	4.29	1.0000	0.1210
♂	0.000	2.38	2.74	3.40	4.03	4.35	1.2044	0.1475
♂	0.083	3.03	3.46	4.27	5.05	5.47	1.1145	0.1452
♂	0.167	3.69	4.19	5.13	6.07	6.57	1.0256	0.1430
♂	0.250	4.33	4.89	5.96	7.04	7.61	0.9391	0.1409
♂	0.333	4.90	5.51	6.68	7.89	8.54	0.8567	0.1389
♂	0.417	5.40	6.05	7.31	8.61	9.32	0.7796	0.1371
♂	0.500	5.86	6.53	7.86	9.26	10.03	0.7064	0.1355
♂	0.583	6.26	6.95	8.34	9.82	10.64	0.6392	0.1341
♂	0.667	6.61	7.33	8.77	10.31	11.17	0.5771	0.1330
♂	0.750	6.92	7.66	9.14	10.75	11.65	0.5212	0.1320
♂	0.833	7.22	7.97	9.50	11.16	12.10	0.4676	0.1311
♂	0.917	7.49	8.26	9.82	11.54	12.52	0.4196	0.1304
♂	1.000	7.74	8.52	10.12	11.89	12.90	0.3756	0.1298
♂	2.000	9.69	10.58	12.47	14.68	15.99	0.0535	0.1277
♂	3.000	11.28	12.27	14.43	17.07	18.69	-0.1811	0.1289
♂	4.000	13.14	14.26	16.80	20.05	22.15	-0.4464	0.1326
♂	5.000	15.00	16.26	19.22	23.23	25.98	-0.7156	0.1384
♂	6.000	16.78	18.19	21.58	26.47	30.05	-0.9503	0.1449
♂	7.000	18.63	20.20	24.09	29.99	34.55	-1.1041	0.1517
♂	8.000	20.65	22.44	26.96	34.03	39.71	-1.1569	0.1593
♂	9.000	22.98	25.10	30.49	39.07	46.11	-1.1079	0.1693
♂	10.000	24.97	27.46	33.82	43.97	52.24	-0.9849	0.1805
♂	11.000	26.82	29.75	37.23	49.00	58.37	-0.8183	0.1920
♂	12.000	29.02	32.57	41.54	55.37	66.03	-0.6263	0.2052
♂	13.000	32.19	36.50	47.26	63.32	75.20	-0.4500	0.2139
♂	14.000	37.04	41.94	53.91	71.07	83.26	-0.3626	0.2052
♂	15.000	42.75	47.78	59.86	76.73	88.47	-0.4107	0.1842
♂	16.000	47.98	52.81	64.31	80.29	91.43	-0.5721	0.1626
♂	17.000	52.30	56.97	68.02	83.29	93.92	-0.7041	0.1473
♂	18.000	55.08	59.73	70.62	85.44	95.62	-0.7229	0.1389
♂	19.000	57.64	62.51	73.90	89.41	100.07	-0.7229	0.1389

WAIST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	45.26	46.88	50.57	55.56	59.02	-2.5172	0.0653
♀	7	46.36	48.16	52.34	58.18	62.39	-2.5172	0.0724
♀	8	47.41	49.32	53.83	60.23	64.96	-2.5172	0.0764
♀	9	48.46	50.49	55.33	62.31	67.58	-2.5172	0.0802
♀	10	49.32	51.49	56.72	64.48	70.51	-2.5172	0.0855
♀	11	51.14	53.47	59.17	67.79	74.68	-2.5172	0.0899
♀	12	53.55	56.02	62.04	71.22	78.59	-2.5172	0.0909
♀	13	55.21	57.70	63.74	72.82	80.00	-2.5172	0.0883
♀	14	55.94	58.39	64.26	72.93	79.64	-2.5172	0.0846
♀	15	56.40	58.80	64.55	72.95	79.34	-2.5172	0.0821
♀	16	57.06	59.46	65.17	73.43	79.68	-2.5172	0.0805
♀	17	58.03	60.46	66.25	74.62	80.93	-2.5172	0.0802
♀	18	58.76	61.22	67.09	75.58	81.98	-2.5172	0.0803
♂	6	47.20	48.81	52.51	57.50	60.98	-2.6649	0.0629
♂	7	48.09	49.88	54.05	59.87	64.09	-2.6649	0.0699
♂	8	49.09	51.04	55.68	62.37	67.40	-2.6649	0.0764
♂	9	50.19	52.30	57.38	64.90	70.77	-2.6649	0.0820
♂	10	51.34	53.60	59.09	67.45	74.17	-2.6649	0.0870
♂	11	52.66	55.05	60.93	70.07	77.61	-2.6649	0.0910
♂	12	54.23	56.75	62.98	72.78	81.04	-2.6649	0.0937
♂	13	56.01	58.63	65.14	75.45	84.21	-2.6649	0.0949
♂	14	57.91	60.61	67.32	77.94	86.93	-2.6649	0.0946
♂	15	59.75	62.50	69.32	80.00	88.96	-2.6649	0.0930
♂	16	61.51	64.30	71.14	81.74	90.48	-2.6649	0.0906
♂	17	63.18	65.98	72.81	83.27	91.73	-2.6649	0.0880
♂	18	64.66	67.48	74.34	84.74	93.05	-2.6649	0.0862

life_circ.ref

Citations

• Roennecke E, Vogel M, Bussler S, Grafe N, Jurkutat A, Schlingmann M, Koerner A, Kiess W. Age- and sex-related percentiles of skinfold thickness, waist and hip circumference, Waist-to- Hip Ratio and Waist-to-Height Ratio: Results from a population-based paediatric cohort in Germany (LIFE Child). Obesity Facts. 2019.

THIGH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	3	24.28	25.17	27.39	30.88	33.87	0.0765	-3.5034
♂	4	25.32	26.29	28.63	32.10	34.83	0.0757	-2.9968
♂	5	26.31	27.38	29.90	33.50	36.17	0.0770	-2.5500
♂	6	27.26	28.46	31.27	35.24	38.14	0.0818	-2.2394
♂	7	28.28	29.64	32.87	37.50	40.94	0.0901	-2.0683
♂	8	29.42	30.97	34.73	40.29	44.57	0.1004	-1.9877
♂	9	30.71	32.45	36.74	43.32	48.61	0.1098	-1.9712
♂	10	32.22	34.11	38.83	46.26	52.43	0.1154	-1.9872
♂	11	33.80	35.81	40.83	48.73	55.31	0.1167	-1.9633
♂	12	35.35	37.46	42.69	50.81	57.44	0.1157	-1.9030
♂	13	36.93	39.11	44.49	52.70	59.24	0.1135	-1.8415
♂	14	38.62	40.86	46.32	54.45	60.75	0.1096	-1.7904
♂	15	40.30	42.60	48.11	56.14	62.17	0.1057	-1.7249
♂	16	41.73	44.11	49.74	57.71	63.50	0.1033	-1.5824
♂	17	42.86	45.37	51.21	59.19	64.76	0.1027	-1.3447
♂	18	43.82	46.51	52.64	60.70	66.10	0.1032	-1.0621
♀	3	24.11	25.20	27.54	30.38	32.14	0.0728	-1.0460
♀	4	24.80	25.99	28.63	31.97	34.14	0.0804	-1.2849
♀	5	25.66	26.95	29.88	33.74	36.35	0.0869	-1.4681
♀	6	26.62	28.01	31.22	35.56	38.56	0.0920	-1.5374
♀	7	27.70	29.21	32.73	37.55	40.91	0.0968	-1.4881
♀	8	28.96	30.63	34.52	39.84	43.54	0.1014	-1.3713
♀	9	30.34	32.19	36.49	42.31	46.34	0.1056	-1.2332
♀	10	31.67	33.72	38.49	44.95	49.39	0.1111	-1.1083
♀	11	32.92	35.20	40.52	47.78	52.82	0.1182	-1.0424
♀	12	34.29	36.75	42.55	50.58	56.23	0.1235	-1.0390
♀	13	35.89	38.45	44.50	52.92	58.89	0.1235	-1.0747
♀	14	37.52	40.08	46.12	54.47	60.36	0.1185	-1.1198
♀	15	38.90	41.40	47.24	55.22	60.78	0.1113	-1.1720
♀	16	39.92	42.31	47.85	55.31	60.43	0.1035	-1.2331
♀	17	40.57	42.84	48.02	54.92	59.60	0.0961	-1.2944
♀	18	40.99	43.12	47.95	54.27	58.50	0.0890	-1.3485

WAIST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	3	44.91	46.21	49.13	52.88	55.38	0.0520	-2.7584
♂	4	45.64	47.01	50.10	54.14	56.87	0.0544	-2.7954
♂	5	46.44	47.88	51.15	55.50	58.48	0.0568	-2.8454
♂	6	47.29	48.81	52.33	57.15	60.56	0.0604	-2.9833
♂	7	48.30	49.93	53.80	59.38	63.59	0.0659	-3.2374
♂	8	49.54	51.30	55.63	62.29	67.82	0.0729	-3.5048
♂	9	50.85	52.79	57.67	65.76	73.20	0.0815	-3.6480
♂	10	52.18	54.33	59.87	69.58	79.29	0.0909	-3.6155
♂	11	53.50	55.87	62.05	73.16	84.64	0.0987	-3.4323
♂	12	54.92	57.49	64.18	76.09	88.19	0.1030	-3.1793
♂	13	56.63	59.36	66.37	78.38	89.84	0.1030	-2.9174
♂	14	58.63	61.46	68.57	80.09	90.22	0.0992	-2.6793
♂	15	60.81	63.67	70.72	81.57	90.41	0.0937	-2.4996
♂	16	63.02	65.91	72.87	83.13	91.04	0.0883	-2.3618
♂	17	65.26	68.17	75.07	84.88	92.11	0.0839	-2.2241
♂	18	67.54	70.49	77.35	86.81	93.53	0.0800	-2.0875
♀	3	44.33	45.57	48.36	51.98	54.41	0.0507	-2.9845
♀	4	45.03	46.35	49.43	53.69	56.76	0.0561	-3.4603
♀	5	45.63	47.03	50.39	55.33	59.20	0.0615	-3.8140
♀	6	46.34	47.82	51.45	57.06	61.75	0.0662	-3.9845
♀	7	47.19	48.79	52.77	59.15	64.76	0.0717	-3.9708
♀	8	48.10	49.87	54.34	61.77	68.64	0.0792	-3.8121
♀	9	49.12	51.10	56.17	64.86	73.25	0.0879	-3.5865
♀	10	50.32	52.53	58.25	68.30	78.32	0.0965	-3.3579
♀	11	51.70	54.14	60.52	71.92	83.59	0.1043	-3.1621
♀	12	53.40	56.02	62.85	75.12	87.67	0.1078	-3.0450
♀	13	55.46	58.12	65.03	77.22	89.39	0.1047	-3.0493
♀	14	57.42	60.01	66.67	78.15	89.27	0.0976	-3.1795
♀	15	58.92	61.36	67.61	78.25	88.38	0.0898	-3.4290
♀	16	59.90	62.17	67.96	77.73	86.98	0.0825	-3.7622
♀	17	60.51	62.60	67.88	76.73	85.03	0.0752	-4.1335
♀	18	60.95	62.86	67.64	75.53	82.78	0.0679	-4.5113

HIP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	3	46.21	47.65	50.94	55.35	58.40	0.0575	-2.8970
♂	4	48.58	50.09	53.52	58.12	61.30	0.0571	-2.9387
♂	5	50.95	52.52	56.12	60.95	64.32	0.0571	-3.0037
♂	6	53.24	54.92	58.81	64.17	67.99	0.0595	-3.1106
♂	7	55.45	57.31	61.71	68.01	72.73	0.0651	-3.2083
♂	8	57.64	59.75	64.85	72.47	78.52	0.0730	-3.2074
♂	9	59.85	62.26	68.17	77.32	84.88	0.0815	-3.0545
♂	10	62.13	64.88	71.66	82.23	91.02	0.0893	-2.7637
♂	11	64.50	67.59	75.16	86.69	95.96	0.0943	-2.4001
♂	12	67.09	70.47	78.61	90.59	99.77	0.0958	-2.0847
♂	13	70.20	73.72	82.08	93.96	102.69	0.0930	-1.9131
♂	14	73.90	77.36	85.45	96.68	104.71	0.0856	-1.9482
♂	15	77.65	80.91	88.48	98.90	106.28	0.0771	-2.1831
♂	16	80.79	83.86	91.01	100.88	107.95	0.0708	-2.5131
♂	17	83.26	86.21	93.12	102.80	109.85	0.0673	-2.8495
♂	18	85.37	88.24	95.04	104.75	112.01	0.0653	-3.1802
♀	3	46.73	48.31	51.75	56.00	58.69	0.0573	-1.8389
♀	4	49.02	50.70	54.51	59.48	62.82	0.0616	-2.3518
♀	5	51.23	53.03	57.20	62.91	66.96	0.0655	-2.6849
♀	6	53.41	55.36	59.94	66.36	71.05	0.0693	-2.7522
♀	7	55.62	57.79	62.89	70.10	75.39	0.0738	-2.5907
♀	8	57.84	60.31	66.11	74.28	80.24	0.0798	-2.2901
♀	9	60.16	62.98	69.61	78.82	85.43	0.0861	-1.9535
♀	10	62.75	65.97	73.47	83.78	91.05	0.0920	-1.6655
♀	11	65.64	69.27	77.72	89.26	97.34	0.0978	-1.4683
♀	12	69.08	73.02	82.17	94.68	103.40	0.1002	-1.3991
♀	13	73.24	77.23	86.46	98.98	107.67	0.0958	-1.4626
♀	14	77.50	81.29	90.00	101.71	109.77	0.0865	-1.6409
♀	15	81.00	84.49	92.48	103.22	110.63	0.0772	-1.9506
♀	16	83.30	86.47	93.80	103.76	110.74	0.0700	-2.3736
♀	17	84.50	87.40	94.13	103.46	110.15	0.0646	-2.8584
♀	18	85.14	87.79	93.98	102.68	109.06	0.0598	-3.3568

WHR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	3	0.87	0.90	0.96	1.03	1.08	0.0530	-2.1647
♂	4	0.85	0.88	0.93	1.00	1.04	0.0494	-1.3984
♂	5	0.83	0.86	0.91	0.97	1.00	0.0461	-0.6152
♂	6	0.82	0.84	0.89	0.94	0.97	0.0443	-0.0446
♂	7	0.80	0.83	0.87	0.92	0.95	0.0435	0.0147
♂	8	0.79	0.81	0.86	0.91	0.94	0.0435	-0.4241
♂	9	0.78	0.80	0.85	0.90	0.93	0.0448	-1.1059
♂	10	0.77	0.79	0.84	0.89	0.93	0.0473	-1.8698
♂	11	0.76	0.78	0.83	0.89	0.93	0.0491	-2.5713
♂	12	0.75	0.78	0.82	0.88	0.92	0.0496	-3.0485
♂	13	0.75	0.77	0.81	0.87	0.91	0.0491	-3.2172
♂	14	0.74	0.76	0.81	0.86	0.90	0.0481	-3.0370
♂	15	0.74	0.76	0.80	0.85	0.89	0.0470	-2.5931
♂	16	0.74	0.76	0.80	0.85	0.89	0.0464	-2.0129
♂	17	0.74	0.76	0.81	0.86	0.89	0.0467	-1.3522
♂	18	0.74	0.77	0.81	0.87	0.90	0.0477	-0.6619
♀	3	0.85	0.88	0.93	1.00	1.03	0.0491	-1.2502
♀	4	0.83	0.86	0.91	0.97	1.00	0.0476	-1.3064
♀	5	0.81	0.83	0.88	0.94	0.97	0.0460	-1.3727
♀	6	0.79	0.81	0.86	0.91	0.95	0.0451	-1.5244
♀	7	0.77	0.80	0.84	0.89	0.93	0.0453	-1.7534
♀	8	0.76	0.78	0.83	0.88	0.91	0.0467	-1.9953
♀	9	0.74	0.76	0.81	0.87	0.90	0.0494	-2.2197
♀	10	0.73	0.75	0.80	0.86	0.90	0.0524	-2.4544
♀	11	0.71	0.74	0.79	0.85	0.89	0.0548	-2.7492
♀	12	0.70	0.72	0.77	0.84	0.88	0.0561	-3.0925
♀	13	0.69	0.71	0.76	0.82	0.87	0.0556	-3.4986
♀	14	0.68	0.70	0.74	0.81	0.85	0.0540	-3.9498
♀	15	0.67	0.69	0.73	0.80	0.84	0.0529	-4.4042
♀	16	0.67	0.68	0.73	0.79	0.84	0.0522	-4.8363
♀	17	0.66	0.68	0.72	0.78	0.83	0.0516	-5.2406
♀	18	0.66	0.68	0.72	0.78	0.83	0.0507	-5.6186

WHTR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	3	0.46	0.48	0.51	0.55	0.57	0.0513	-2.0646
♂	4	0.44	0.45	0.48	0.52	0.54	0.0534	-2.1638
♂	5	0.42	0.43	0.46	0.50	0.52	0.0555	-2.2955
♂	6	0.40	0.41	0.44	0.48	0.51	0.0586	-2.5849
♂	7	0.39	0.40	0.43	0.47	0.50	0.0625	-3.1136
♂	8	0.38	0.39	0.42	0.47	0.51	0.0662	-3.7797
♂	9	0.38	0.39	0.42	0.47	0.52	0.0704	-4.3860
♂	10	0.38	0.39	0.42	0.48	0.54	0.0758	-4.8330
♂	11	0.37	0.38	0.42	0.48	0.55	0.0809	-5.0880
♂	12	0.37	0.38	0.41	0.48	0.56	0.0847	-5.1430
♂	13	0.36	0.38	0.41	0.48	0.56	0.0866	-4.9873
♂	14	0.36	0.37	0.41	0.47	0.55	0.0872	-4.6290
♂	15	0.36	0.37	0.41	0.47	0.54	0.0869	-4.1365
♂	16	0.36	0.37	0.41	0.47	0.53	0.0861	-3.5900
♂	17	0.37	0.38	0.42	0.48	0.53	0.0847	-3.0357
♂	18	0.37	0.39	0.43	0.48	0.53	0.0826	-2.4915
♀	3	0.46	0.48	0.51	0.54	0.57	0.0510	-2.0008
♀	4	0.44	0.45	0.48	0.52	0.55	0.0556	-2.7742
♀	5	0.42	0.43	0.46	0.50	0.53	0.0594	-3.4083
♀	6	0.40	0.41	0.44	0.49	0.52	0.0622	-3.8269
♀	7	0.39	0.40	0.43	0.48	0.51	0.0657	-4.0283
♀	8	0.38	0.39	0.42	0.47	0.52	0.0713	-4.0329
♀	9	0.37	0.38	0.41	0.47	0.52	0.0785	-3.8939
♀	10	0.36	0.37	0.41	0.47	0.53	0.0865	-3.6993
♀	11	0.35	0.37	0.41	0.48	0.55	0.0943	-3.5221
♀	12	0.35	0.37	0.41	0.48	0.55	0.0989	-3.3914
♀	13	0.35	0.37	0.41	0.48	0.55	0.0990	-3.3175
♀	14	0.35	0.37	0.41	0.48	0.55	0.0958	-3.3266
♀	15	0.36	0.37	0.41	0.47	0.54	0.0908	-3.4520
♀	16	0.36	0.37	0.41	0.47	0.53	0.0847	-3.6642
♀	17	0.36	0.37	0.41	0.46	0.51	0.0779	-3.9086
♀	18	0.36	0.38	0.41	0.46	0.50	0.0714	-4.1457

life_cysc.ref

Citations

• Ziegelasch N, Vogel M, Müller E, et al. Cystatin C Serum Levels in Healthy Children Are Related to Age, Gender, and Pubertal Stage. Pediatr Nephrol 2019; 34: 449–57.

CYSC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.3859229	0.80	0.88	1.06	1.24	1.33	0.1305	0.7290	2.1183
♂	0.4692562	0.79	0.87	1.04	1.22	1.32	0.1302	0.7285	2.1146
♂	0.5525896	0.78	0.86	1.03	1.21	1.30	0.1298	0.7279	2.1109
♂	0.6359229	0.77	0.85	1.02	1.19	1.29	0.1295	0.7274	2.1072
♂	0.7192562	0.76	0.85	1.01	1.18	1.27	0.1292	0.7269	2.1036
♂	0.8025896	0.76	0.84	1.00	1.17	1.26	0.1289	0.7263	2.0999
♂	0.8859229	0.75	0.83	0.99	1.15	1.24	0.1286	0.7258	2.0963
♂	0.9692562	0.74	0.82	0.98	1.14	1.23	0.1283	0.7253	2.0928
♀	0.3859229	0.80	0.88	1.04	1.21	1.30	0.1226	0.5911	1.9681
♀	0.4692562	0.79	0.87	1.03	1.20	1.29	0.1224	0.5931	1.9671
♀	0.5525896	0.79	0.86	1.02	1.18	1.27	0.1222	0.5952	1.9662
♀	0.6359229	0.78	0.85	1.01	1.17	1.26	0.1221	0.5972	1.9652
♀	0.7192562	0.77	0.85	1.00	1.16	1.25	0.1219	0.5993	1.9643
♀	0.8025896	0.76	0.84	0.99	1.14	1.23	0.1218	0.6013	1.9633
♀	0.8859229	0.75	0.83	0.98	1.13	1.22	0.1216	0.6034	1.9624
♀	0.9692562	0.75	0.82	0.97	1.12	1.21	0.1215	0.6054	1.9615

life_fibroscan.ref

Citations

• preliminary reference values cap med and e med from fibroscan in the life child study. Publication (Puasa et al) in preparation.

CAP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	10	117.60	141.10	188.49	239.37	267.60	0.2037	0.7283
♂	11	119.97	146.39	199.95	257.76	289.91	0.2176	0.7283
♂	12	117.15	145.37	202.87	265.22	299.98	0.2309	0.7283
♂	13	112.72	142.00	201.94	267.21	303.68	0.2424	0.7283
♂	14	109.47	139.50	201.18	268.55	306.25	0.2508	0.7283
♂	15	107.63	137.92	200.27	268.46	306.66	0.2549	0.7283
♂	16	106.88	136.69	198.02	265.04	302.58	0.2534	0.7283
♂	17	108.27	137.00	195.91	260.12	296.03	0.2457	0.7283
♂	18	114.36	141.99	198.30	259.37	293.43	0.2314	0.7283
♀	10	132.24	152.34	192.77	236.18	260.29	0.1698	0.6733
♀	11	118.09	141.06	187.94	239.01	267.62	0.2036	0.6733
♀	12	111.79	137.34	190.05	248.06	280.75	0.2277	0.6733
♀	13	110.13	137.46	194.20	256.99	292.48	0.2406	0.6733
♀	14	110.63	138.56	196.62	260.94	297.31	0.2433	0.6733
♀	15	112.57	140.15	197.35	260.59	296.31	0.2385	0.6733
♀	16	115.51	142.25	197.48	258.30	292.59	0.2297	0.6733
♀	17	118.60	144.37	197.34	255.44	288.13	0.2199	0.6733
♀	18	120.62	145.52	196.52	252.27	283.58	0.2122	0.6733

E

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	10	2.85	3.15	3.85	4.77	5.38	0.1617	-0.3079
♂	11	2.91	3.29	4.22	5.52	6.42	0.2011	-0.3079
♂	12	2.86	3.30	4.38	5.99	7.15	0.2320	-0.3079
♂	13	2.86	3.32	4.52	6.35	7.71	0.2516	-0.3079
♂	14	2.96	3.46	4.75	6.75	8.27	0.2599	-0.3079
♂	15	3.11	3.64	5.00	7.09	8.68	0.2594	-0.3079
♂	16	3.22	3.76	5.12	7.20	8.77	0.2534	-0.3079
♂	17	3.26	3.79	5.11	7.12	8.61	0.2456	-0.3079
♂	18	3.30	3.81	5.11	7.06	8.48	0.2394	-0.3079
♀	10	2.49	2.88	3.86	5.30	6.35	0.2375	-0.2687
♀	11	2.72	3.13	4.14	5.61	6.65	0.2273	-0.2687
♀	12	2.75	3.15	4.13	5.55	6.54	0.2204	-0.2687
♀	13	2.74	3.14	4.10	5.47	6.43	0.2164	-0.2687
♀	14	2.85	3.25	4.24	5.65	6.64	0.2150	-0.2687
♀	15	2.99	3.42	4.47	5.96	7.01	0.2161	-0.2687
♀	16	3.06	3.50	4.60	6.16	7.27	0.2198	-0.2687
♀	17	3.00	3.45	4.57	6.17	7.32	0.2260	-0.2687
♀	18	2.87	3.32	4.44	6.07	7.25	0.2350	-0.2687

life_heart.ref

Citations

• Kiess A, Green J, Willenberg A, et al. Age-dependent reference values for hs-Troponin T and NT-proBNP and determining factors in a cohort of healthy children (The LIFE child study). Pediatric Cardiology 2022. Accepted

TNT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.2500000	4.13	8.45	16.22	24.98	31.66	0.3588	0.8250	5.5093
♂	0.3333333	3.55	7.22	13.77	21.15	26.81	0.3550	0.8250	5.4054
♂	0.4166667	3.07	6.21	11.77	18.02	22.85	0.3514	0.8250	5.3042
♂	0.5000000	2.67	5.37	10.12	15.46	19.61	0.3478	0.8250	5.2056
♂	0.5833333	2.34	4.69	8.78	13.38	16.97	0.3443	0.8250	5.1096
♂	0.6666667	2.07	4.13	7.68	11.68	14.82	0.3409	0.8250	5.0161
♂	0.7500000	1.85	3.67	6.79	10.30	13.07	0.3375	0.8250	4.9249
♂	0.8333333	1.67	3.30	6.07	9.19	11.66	0.3342	0.8250	4.8361
♂	0.9166667	1.53	3.00	5.50	8.29	10.53	0.3310	0.8250	4.7496
♂	1.0000000	1.41	2.77	5.04	7.58	9.64	0.3279	0.8250	4.6653
♂	2.0000000	1.06	2.00	3.45	5.07	6.50	0.2947	0.8250	3.8043
♂	3.0000000	1.02	1.89	3.15	4.56	5.93	0.2689	0.8250	3.1656
♂	4.0000000	0.96	1.80	2.93	4.19	5.56	0.2493	0.8250	2.6880
♂	5.0000000	0.99	1.87	2.99	4.27	5.80	0.2346	0.8250	2.3291
♂	6.0000000	1.02	1.96	3.12	4.46	6.24	0.2242	0.8250	2.0594
♂	7.0000000	0.94	1.87	2.96	4.25	6.16	0.2176	0.8250	1.8581
♂	8.0000000	0.85	1.73	2.75	3.98	5.98	0.2144	0.8250	1.7108
♂	9.0000000	0.84	1.75	2.81	4.12	6.41	0.2146	0.8250	1.6073
♂	10.0000000	0.79	1.69	2.74	4.08	6.54	0.2180	0.8250	1.5410
♂	11.0000000	0.82	1.82	3.01	4.54	7.45	0.2250	0.8250	1.5076
♂	12.0000000	0.78	1.77	3.00	4.60	7.67	0.2358	0.8250	1.5050
♂	13.0000000	0.77	1.79	3.12	4.88	8.18	0.2509	0.8250	1.5332
♂	14.0000000	0.75	1.80	3.25	5.19	8.66	0.2711	0.8250	1.5939
♂	15.0000000	0.78	1.94	3.67	5.98	9.88	0.2975	0.8250	1.6908
♂	16.0000000	0.81	2.11	4.22	7.07	11.48	0.3314	0.8250	1.8303
♂	17.0000000	0.78	2.15	4.64	8.01	12.77	0.3750	0.8250	2.0217
♂	18.0000000	0.86	2.53	5.98	10.71	16.76	0.4309	0.8250	2.2789
♀	0.2500000	6.49	10.45	17.71	27.78	37.72	0.3236	0.3278	4.5397
♀	0.3333333	5.47	8.83	14.91	23.33	31.76	0.3197	0.3278	4.3849
♀	0.4166667	4.64	7.51	12.65	19.74	26.94	0.3159	0.3278	4.2384
♀	0.5000000	3.96	6.45	10.81	16.83	23.04	0.3122	0.3278	4.0997
♀	0.5833333	3.42	5.58	9.33	14.49	19.89	0.3086	0.3278	3.9683
♀	0.6666667	2.98	4.88	8.13	12.61	17.36	0.3050	0.3278	3.8437
♀	0.7500000	2.62	4.31	7.17	11.10	15.33	0.3016	0.3278	3.7257
♀	0.8333333	2.34	3.86	6.40	9.89	13.71	0.2982	0.3278	3.6137
♀	0.9166667	2.11	3.50	5.80	8.93	12.42	0.2949	0.3278	3.5074
♀	1.0000000	1.93	3.23	5.32	8.19	11.43	0.2917	0.3278	3.4065
♀	2.0000000	1.24	2.23	3.59	5.45	8.02	0.2584	0.3278	2.5228
♀	3.0000000	0.95	1.83	2.90	4.36	6.83	0.2332	0.3278	2.0339
♀	4.0000000	0.91	1.86	2.91	4.35	7.18	0.2142	0.3278	1.7666
♀	5.0000000	0.88	1.82	2.81	4.15	7.05	0.2001	0.3278	1.6363
♀	6.0000000	0.84	1.70	2.58	3.76	6.36	0.1899	0.3278	1.5994
♀	7.0000000	0.92	1.78	2.64	3.79	6.20	0.1829	0.3278	1.6330
♀	8.0000000	1.05	1.93	2.81	3.95	6.18	0.1786	0.3278	1.7236
♀	9.0000000	1.12	1.91	2.74	3.80	5.65	0.1766	0.3278	1.8612
♀	10.0000000	1.22	1.98	2.80	3.83	5.47	0.1767	0.3278	2.0352
♀	11.0000000	1.30	2.00	2.81	3.82	5.27	0.1787	0.3278	2.2304
♀	12.0000000	1.32	1.98	2.77	3.76	5.07	0.1826	0.3278	2.4244
♀	13.0000000	1.30	1.93	2.71	3.68	4.91	0.1881	0.3278	2.5871
♀	14.0000000	1.37	2.03	2.88	3.94	5.26	0.1954	0.3278	2.6822
♀	15.0000000	1.36	2.06	2.97	4.13	5.57	0.2043	0.3278	2.6740
♀	16.0000000	1.24	1.98	2.93	4.15	5.77	0.2149	0.3278	2.5371
♀	17.0000000	1.05	1.84	2.84	4.17	6.14	0.2272	0.3278	2.2674
♀	18.0000000	0.76	1.60	2.63	4.05	6.71	0.2410	0.3278	1.8891

PBNP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.2500000	35.88	61.53	139.74	283.71	409.91	0.5716	0.1928	19.0931
♂	0.3333333	35.19	60.41	137.44	279.39	403.91	0.5727	0.1928	19.0931
♂	0.4166667	34.51	59.33	135.21	275.20	398.09	0.5738	0.1928	19.0931
♂	0.5000000	33.86	58.28	133.04	271.13	392.44	0.5749	0.1928	19.0931
♂	0.5833333	33.22	57.26	130.95	267.20	386.98	0.5760	0.1928	19.0931
♂	0.6666667	32.61	56.28	128.92	263.40	381.70	0.5771	0.1928	19.0931
♂	0.7500000	32.02	55.33	126.96	259.74	376.62	0.5782	0.1928	19.0931
♂	0.8333333	31.45	54.41	125.08	256.21	371.73	0.5793	0.1928	19.0931
♂	0.9166667	30.90	53.53	123.27	252.83	367.04	0.5804	0.1928	19.0931
♂	1.0000000	30.37	52.69	121.53	249.59	362.55	0.5815	0.1928	19.0931
♂	2.0000000	25.37	44.71	105.34	219.73	321.51	0.5950	0.1928	19.0931
♂	3.0000000	21.93	39.30	94.61	200.52	295.57	0.6088	0.1928	19.0931
♂	4.0000000	19.39	35.33	86.99	187.37	278.26	0.6230	0.1928	19.0931
♂	5.0000000	17.75	32.93	82.94	181.63	271.79	0.6374	0.1928	19.0931
♂	6.0000000	16.74	31.63	81.56	181.65	273.93	0.6522	0.1928	19.0931
♂	7.0000000	15.39	29.63	78.29	177.40	269.62	0.6674	0.1928	19.0931
♂	8.0000000	13.45	26.42	71.57	165.03	252.82	0.6829	0.1928	19.0931
♂	9.0000000	11.45	22.96	63.79	149.75	231.27	0.6988	0.1928	19.0931
♂	10.0000000	9.92	20.31	57.94	138.51	215.67	0.7150	0.1928	19.0931
♂	11.0000000	8.92	18.68	54.76	133.37	209.39	0.7316	0.1928	19.0931
♂	12.0000000	7.89	16.89	50.90	126.35	200.05	0.7486	0.1928	19.0931
♂	13.0000000	6.44	14.12	43.79	110.83	176.98	0.7660	0.1928	19.0931
♂	14.0000000	4.84	10.89	34.78	89.78	144.61	0.7838	0.1928	19.0931
♂	15.0000000	3.52	8.12	26.73	70.39	114.37	0.8020	0.1928	19.0931
♂	16.0000000	2.59	6.14	20.84	56.02	91.84	0.8206	0.1928	19.0931
♂	17.0000000	1.96	4.78	16.77	46.04	76.16	0.8397	0.1928	19.0931
♂	18.0000000	1.53	3.83	13.89	38.95	65.02	0.8592	0.1928	19.0931
♀	0.2500000	42.73	70.45	157.76	320.42	458.76	0.5764	0.1707	34.4873
♀	0.3333333	41.68	68.77	154.13	313.26	448.64	0.5770	0.1707	34.4873
♀	0.4166667	40.68	67.15	150.63	306.33	438.86	0.5776	0.1707	34.4873
♀	0.5000000	39.71	65.58	147.24	299.64	429.40	0.5781	0.1707	34.4873
♀	0.5833333	38.77	64.07	143.97	293.19	420.28	0.5787	0.1707	34.4873
♀	0.6666667	37.87	62.62	140.83	286.97	411.49	0.5793	0.1707	34.4873
♀	0.7500000	37.00	61.22	137.80	280.98	403.03	0.5799	0.1707	34.4873
♀	0.8333333	36.17	59.88	134.89	275.24	394.91	0.5804	0.1707	34.4873
♀	0.9166667	35.37	58.59	132.11	269.73	387.13	0.5810	0.1707	34.4873
♀	1.0000000	34.60	57.36	129.44	264.46	379.68	0.5816	0.1707	34.4873
♀	2.0000000	27.71	46.27	105.51	217.29	313.10	0.5885	0.1707	34.4873
♀	3.0000000	24.00	40.37	93.01	193.10	279.28	0.5954	0.1707	34.4873
♀	4.0000000	22.18	37.58	87.52	183.18	265.92	0.6025	0.1707	34.4873
♀	5.0000000	21.19	36.19	85.19	179.77	261.96	0.6096	0.1707	34.4873
♀	6.0000000	20.40	35.10	83.55	177.79	260.06	0.6169	0.1707	34.4873
♀	7.0000000	19.48	33.79	81.31	174.48	256.20	0.6242	0.1707	34.4873
♀	8.0000000	18.28	31.96	77.78	168.34	248.14	0.6316	0.1707	34.4873
♀	9.0000000	16.86	29.70	73.12	159.60	236.17	0.6391	0.1707	34.4873
♀	10.0000000	15.09	26.82	66.78	147.03	218.43	0.6466	0.1707	34.4873
♀	11.0000000	13.25	23.73	59.80	132.83	198.11	0.6543	0.1707	34.4873
♀	12.0000000	11.57	20.90	53.30	119.44	178.85	0.6621	0.1707	34.4873
♀	13.0000000	10.21	18.61	48.03	108.60	163.28	0.6699	0.1707	34.4873
♀	14.0000000	9.19	16.89	44.13	100.69	152.00	0.6779	0.1707	34.4873
♀	15.0000000	8.39	15.57	41.17	94.79	143.69	0.6859	0.1707	34.4873
♀	16.0000000	7.77	14.55	38.97	90.56	137.84	0.6940	0.1707	34.4873
♀	17.0000000	7.39	13.97	37.91	88.90	135.88	0.7023	0.1707	34.4873
♀	18.0000000	7.24	13.82	37.96	89.88	137.95	0.7106	0.1707	34.4873

life_igf.ref

Citations

• Hoerenz C, Vogel M, Wirkner K. BMI and contraceptives affect new age-, sex-, and puberty-adjusted IGF-I and IGFBP-3 reference ranges across life span. JCEM 2022 (in (minor) revision).

BP3_INCL_CC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	927.06	1143.36	1631.56	2222.79	2575.00	0.2573	0.4208	2.0358
♂	0.2500000	936.85	1154.80	1646.37	2241.28	2595.57	0.2566	0.4214	2.0355
♂	0.3333333	946.73	1166.33	1661.31	2259.93	2616.30	0.2560	0.4220	2.0352
♂	0.4166667	956.70	1177.97	1676.36	2278.72	2637.19	0.2554	0.4226	2.0349
♂	0.5000000	966.75	1189.70	1691.53	2297.65	2658.25	0.2547	0.4232	2.0346
♂	0.5833333	976.88	1201.52	1706.82	2316.73	2679.47	0.2541	0.4237	2.0344
♂	0.6666667	987.09	1213.44	1722.23	2335.96	2700.85	0.2535	0.4243	2.0341
♂	0.7500000	997.39	1225.46	1737.76	2355.33	2722.38	0.2529	0.4249	2.0338
♂	0.8333333	1007.78	1237.57	1753.41	2374.85	2744.08	0.2523	0.4255	2.0335
♂	0.9166667	1018.24	1249.77	1769.18	2394.51	2765.94	0.2517	0.4260	2.0332
♂	1.0000000	1028.79	1262.07	1785.06	2414.31	2787.95	0.2511	0.4266	2.0329
♂	2.0000000	1161.79	1416.93	1984.60	2662.72	3063.94	0.2443	0.4335	2.0294
♂	5.0000000	1621.69	1949.56	2664.85	3503.73	3995.78	0.2272	0.4536	2.0191
♂	6.0000000	1788.24	2141.40	2907.44	3801.18	4324.18	0.2224	0.4602	2.0157
♂	7.0000000	1957.18	2335.42	3151.51	4099.04	4652.37	0.2181	0.4667	2.0122
♂	8.0000000	2125.60	2528.31	3392.83	4392.10	4974.56	0.2142	0.4731	2.0088
♂	17.0000000	3035.01	3548.72	4614.17	5810.90	6501.95	0.1915	0.5268	1.9786
♂	18.0000000	3023.57	3532.06	4583.58	5762.05	6442.26	0.1901	0.5324	1.9752
♂	19.0000000	2998.34	3499.87	4534.06	5690.68	6358.07	0.1888	0.5378	1.9719
♂	20.0000000	2966.11	3460.04	4475.81	5609.60	6263.65	0.1877	0.5432	1.9686
♂	21.0000000	2933.45	3420.21	4418.63	5531.02	6172.61	0.1868	0.5484	1.9653
♂	22.0000000	2905.41	3386.22	4369.98	5464.14	6095.16	0.1859	0.5536	1.9620
♂	23.0000000	2882.54	3358.67	4330.51	5409.67	6032.02	0.1852	0.5586	1.9588
♂	24.0000000	2864.45	3337.07	4299.51	5366.62	5982.03	0.1847	0.5636	1.9555
♂	25.0000000	2850.79	3320.98	4276.34	5334.08	5944.16	0.1842	0.5685	1.9522
♂	26.0000000	2841.22	3309.99	4260.39	5311.25	5917.44	0.1838	0.5733	1.9490
♂	27.0000000	2835.40	3303.65	4251.06	5297.28	5900.92	0.1836	0.5780	1.9457
♂	28.0000000	2832.51	3301.04	4247.08	5290.56	5892.78	0.1834	0.5826	1.9425
♂	29.0000000	2831.47	3300.85	4246.77	5288.95	5890.60	0.1833	0.5870	1.9393
♂	30.0000000	2831.19	3301.81	4248.43	5290.32	5892.00	0.1833	0.5914	1.9361
♂	31.0000000	2830.57	3302.62	4250.39	5292.52	5894.58	0.1834	0.5957	1.9329
♂	32.0000000	2828.50	3301.98	4250.95	5293.43	5895.96	0.1836	0.5999	1.9297
♂	65.0000000	2211.10	2729.73	3736.87	4841.39	5500.92	0.2228	0.6753	1.8287
♂	66.0000000	2177.51	2697.80	3708.31	4817.66	5481.17	0.2255	0.6756	1.8258
♂	67.0000000	2139.29	2660.44	3672.88	4785.60	5452.26	0.2283	0.6756	1.8229
♂	68.0000000	2096.60	2617.82	3630.75	4745.40	5414.42	0.2312	0.6756	1.8200
♂	69.0000000	2049.63	2570.12	3582.15	4697.32	5367.89	0.2344	0.6754	1.8171
♂	70.0000000	1998.61	2517.59	3527.37	4641.68	5313.03	0.2377	0.6751	1.8142
♂	71.0000000	1944.27	2461.12	3467.57	4580.01	5251.56	0.2413	0.6747	1.8113
♂	72.0000000	1887.82	2402.21	3404.84	4515.00	5186.57	0.2451	0.6741	1.8084
♂	73.0000000	1830.39	2342.27	3341.17	4449.31	5121.13	0.2491	0.6734	1.8056
♂	74.0000000	1772.99	2282.60	3278.43	4385.47	5058.15	0.2534	0.6725	1.8027
♂	75.0000000	1716.48	2224.35	3218.36	4325.87	5000.42	0.2581	0.6715	1.7998
♂	76.0000000	1661.42	2168.30	3162.16	4272.25	4950.05	0.2630	0.6704	1.7970
♂	77.0000000	1607.61	2114.25	3109.72	4224.58	4907.07	0.2683	0.6691	1.7941
♂	78.0000000	1554.72	2061.83	3060.64	4182.51	4871.16	0.2741	0.6677	1.7913
♂	79.0000000	1502.41	2010.70	3014.57	4145.70	4842.03	0.2802	0.6661	1.7885
♂	80.0000000	1450.26	1960.36	2970.94	4113.58	4819.12	0.2868	0.6644	1.7857
♀	0.1666667	929.21	1214.46	1774.40	2415.73	2823.42	0.2685	0.6016	1.7390
♀	0.2500000	941.47	1228.55	1792.09	2437.73	2848.31	0.2676	0.5993	1.7388
♀	0.3333333	953.83	1242.75	1809.91	2459.88	2873.38	0.2667	0.5971	1.7386
♀	0.4166667	966.27	1257.05	1827.85	2482.20	2898.62	0.2658	0.5948	1.7384
♀	0.5000000	978.80	1271.44	1845.92	2504.66	2924.05	0.2649	0.5926	1.7382
♀	0.5833333	991.41	1285.93	1864.11	2527.28	2949.65	0.2641	0.5904	1.7380
♀	0.6666667	1004.11	1300.52	1882.41	2550.05	2975.42	0.2632	0.5881	1.7378
♀	0.7500000	1016.89	1315.20	1900.84	2572.97	3001.36	0.2624	0.5859	1.7376
♀	0.8333333	1029.76	1329.98	1919.38	2596.04	3027.48	0.2616	0.5836	1.7374
♀	0.9166667	1042.71	1344.85	1938.04	2619.25	3053.76	0.2607	0.5814	1.7372
♀	1.0000000	1055.74	1359.82	1956.82	2642.61	3080.21	0.2599	0.5791	1.7370
♀	2.0000000	1218.15	1546.10	2190.39	2933.31	3409.56	0.2511	0.5519	1.7345
♀	5.0000000	1747.25	2150.05	2944.71	3873.04	4477.14	0.2318	0.4691	1.7272
♀	6.0000000	1923.66	2350.14	3193.30	4183.14	4830.75	0.2273	0.4412	1.7248
♀	7.0000000	2094.26	2543.09	3432.55	4482.22	5172.82	0.2237	0.4133	1.7224
♀	8.0000000	2256.88	2726.57	3659.89	4767.40	5500.32	0.2207	0.3854	1.7199
♀	17.0000000	3150.11	3727.97	4915.83	6414.54	7470.32	0.2154	0.1425	1.6985
♀	18.0000000	3171.65	3750.95	4947.10	6468.11	7548.14	0.2163	0.1174	1.6961
♀	19.0000000	3179.03	3757.79	4958.26	6496.89	7598.30	0.2174	0.0928	1.6937
♀	20.0000000	3173.83	3750.30	4951.46	6503.33	7623.37	0.2187	0.0688	1.6914
♀	21.0000000	3157.78	3730.44	4929.07	6490.15	7626.21	0.2200	0.0455	1.6891
♀	22.0000000	3132.77	3700.36	4893.70	6460.43	7610.12	0.2215	0.0229	1.6867
♀	23.0000000	3101.14	3662.72	4848.69	6418.18	7579.54	0.2230	0.0010	1.6844
♀	24.0000000	3065.26	3620.29	4797.48	6367.66	7539.23	0.2245	-0.0201	1.6821
♀	25.0000000	3027.45	3575.71	4743.44	6313.04	7493.88	0.2260	-0.0403	1.6797
♀	26.0000000	2989.87	3531.51	4689.76	6258.37	7448.07	0.2276	-0.0597	1.6774
♀	27.0000000	2954.58	3490.04	4639.47	6207.47	7406.18	0.2290	-0.0780	1.6751
♀	28.0000000	2922.73	3452.66	4594.27	6162.47	7370.61	0.2304	-0.0954	1.6728
♀	29.0000000	2894.81	3419.88	4554.78	6124.08	7342.07	0.2318	-0.1117	1.6705
♀	30.0000000	2871.23	3392.18	4521.57	6092.94	7321.19	0.2330	-0.1270	1.6682
♀	31.0000000	2852.39	3370.01	4495.21	6069.71	7308.64	0.2341	-0.1410	1.6659
♀	32.0000000	2838.70	3353.84	4476.25	6055.05	7305.10	0.2351	-0.1539	1.6636
♀	65.0000000	2489.19	2982.88	3895.75	4952.83	5679.08	0.2023	0.4197	1.5911
♀	66.0000000	2457.78	2958.99	3874.74	4920.15	5630.78	0.2027	0.4772	1.5890
♀	67.0000000	2421.81	2932.09	3852.66	4888.15	5584.41	0.2035	0.5376	1.5869
♀	68.0000000	2380.26	2901.37	3828.82	4856.06	5539.11	0.2047	0.6011	1.5848
♀	69.0000000	2332.04	2865.98	3802.52	4823.14	5494.07	0.2065	0.6676	1.5827
♀	70.0000000	2275.91	2825.07	3773.09	4788.69	5448.47	0.2089	0.7371	1.5806
♀	71.0000000	2210.66	2777.91	3740.15	4752.35	5401.90	0.2119	0.8099	1.5785
♀	72.0000000	2135.22	2724.20	3703.94	4714.56	5354.86	0.2157	0.8858	1.5764
♀	73.0000000	2048.41	2663.65	3664.82	4675.91	5307.99	0.2203	0.9649	1.5743
♀	74.0000000	1949.03	2595.96	3623.17	4637.00	5261.93	0.2259	1.0474	1.5722
♀	75.0000000	1836.51	2521.00	3579.45	4598.48	5217.33	0.2325	1.1331	1.5702
♀	76.0000000	1712.01	2439.11	3534.23	4561.09	5174.93	0.2404	1.2223	1.5681
♀	77.0000000	1579.74	2351.56	3488.46	4525.86	5135.75	0.2497	1.3149	1.5660
♀	78.0000000	1447.62	2260.82	3443.34	4494.03	5100.98	0.2607	1.4110	1.5640
♀	79.0000000	1325.84	2170.65	3400.37	4466.95	5071.87	0.2736	1.5107	1.5619
♀	80.0000000	1223.60	2085.78	3361.26	4446.04	5049.69	0.2888	1.6139	1.5599

BP3

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	927.06	1143.36	1631.56	2222.79	2575.00	0.2573	0.4208	2.0358
♂	0.2500000	936.85	1154.80	1646.37	2241.28	2595.57	0.2566	0.4214	2.0355
♂	0.3333333	946.73	1166.33	1661.31	2259.93	2616.30	0.2560	0.4220	2.0352
♂	0.4166667	956.70	1177.97	1676.36	2278.72	2637.19	0.2554	0.4226	2.0349
♂	0.5000000	966.75	1189.70	1691.53	2297.65	2658.25	0.2547	0.4232	2.0346
♂	0.5833333	976.88	1201.52	1706.82	2316.73	2679.47	0.2541	0.4237	2.0344
♂	0.6666667	987.09	1213.44	1722.23	2335.96	2700.85	0.2535	0.4243	2.0341
♂	0.7500000	997.39	1225.46	1737.76	2355.33	2722.38	0.2529	0.4249	2.0338
♂	0.8333333	1007.78	1237.57	1753.41	2374.85	2744.08	0.2523	0.4255	2.0335
♂	0.9166667	1018.24	1249.77	1769.18	2394.51	2765.94	0.2517	0.4260	2.0332
♂	1.0000000	1028.79	1262.07	1785.06	2414.31	2787.95	0.2511	0.4266	2.0329
♂	2.0000000	1161.79	1416.93	1984.60	2662.72	3063.94	0.2443	0.4335	2.0294
♂	5.0000000	1621.69	1949.56	2664.85	3503.73	3995.78	0.2272	0.4536	2.0191
♂	6.0000000	1788.24	2141.40	2907.44	3801.18	4324.18	0.2224	0.4602	2.0157
♂	7.0000000	1957.18	2335.42	3151.51	4099.04	4652.37	0.2181	0.4667	2.0122
♂	8.0000000	2125.60	2528.31	3392.83	4392.10	4974.56	0.2142	0.4731	2.0088
♂	17.0000000	3035.01	3548.72	4614.17	5810.90	6501.95	0.1915	0.5268	1.9786
♂	18.0000000	3023.57	3532.06	4583.58	5762.05	6442.26	0.1901	0.5324	1.9752
♂	19.0000000	2998.34	3499.87	4534.06	5690.68	6358.07	0.1888	0.5378	1.9719
♂	20.0000000	2966.11	3460.04	4475.81	5609.60	6263.65	0.1877	0.5432	1.9686
♂	21.0000000	2933.45	3420.21	4418.63	5531.02	6172.61	0.1868	0.5484	1.9653
♂	22.0000000	2905.41	3386.22	4369.98	5464.14	6095.16	0.1859	0.5536	1.9620
♂	23.0000000	2882.54	3358.67	4330.51	5409.67	6032.02	0.1852	0.5586	1.9588
♂	24.0000000	2864.45	3337.07	4299.51	5366.62	5982.03	0.1847	0.5636	1.9555
♂	25.0000000	2850.79	3320.98	4276.34	5334.08	5944.16	0.1842	0.5685	1.9522
♂	26.0000000	2841.22	3309.99	4260.39	5311.25	5917.44	0.1838	0.5733	1.9490
♂	27.0000000	2835.40	3303.65	4251.06	5297.28	5900.92	0.1836	0.5780	1.9457
♂	28.0000000	2832.51	3301.04	4247.08	5290.56	5892.78	0.1834	0.5826	1.9425
♂	29.0000000	2831.47	3300.85	4246.77	5288.95	5890.60	0.1833	0.5870	1.9393
♂	30.0000000	2831.19	3301.81	4248.43	5290.32	5892.00	0.1833	0.5914	1.9361
♂	31.0000000	2830.57	3302.62	4250.39	5292.52	5894.58	0.1834	0.5957	1.9329
♂	32.0000000	2828.50	3301.98	4250.95	5293.43	5895.96	0.1836	0.5999	1.9297
♂	65.0000000	2211.10	2729.73	3736.87	4841.39	5500.92	0.2228	0.6753	1.8287
♂	66.0000000	2177.51	2697.80	3708.31	4817.66	5481.17	0.2255	0.6756	1.8258
♂	67.0000000	2139.29	2660.44	3672.88	4785.60	5452.26	0.2283	0.6756	1.8229
♂	68.0000000	2096.60	2617.82	3630.75	4745.40	5414.42	0.2312	0.6756	1.8200
♂	69.0000000	2049.63	2570.12	3582.15	4697.32	5367.89	0.2344	0.6754	1.8171
♂	70.0000000	1998.61	2517.59	3527.37	4641.68	5313.03	0.2377	0.6751	1.8142
♂	71.0000000	1944.27	2461.12	3467.57	4580.01	5251.56	0.2413	0.6747	1.8113
♂	72.0000000	1887.82	2402.21	3404.84	4515.00	5186.57	0.2451	0.6741	1.8084
♂	73.0000000	1830.39	2342.27	3341.17	4449.31	5121.13	0.2491	0.6734	1.8056
♂	74.0000000	1772.99	2282.60	3278.43	4385.47	5058.15	0.2534	0.6725	1.8027
♂	75.0000000	1716.48	2224.35	3218.36	4325.87	5000.42	0.2581	0.6715	1.7998
♂	76.0000000	1661.42	2168.30	3162.16	4272.25	4950.05	0.2630	0.6704	1.7970
♂	77.0000000	1607.61	2114.25	3109.72	4224.58	4907.07	0.2683	0.6691	1.7941
♂	78.0000000	1554.72	2061.83	3060.64	4182.51	4871.16	0.2741	0.6677	1.7913
♂	79.0000000	1502.41	2010.70	3014.57	4145.70	4842.03	0.2802	0.6661	1.7885
♂	80.0000000	1450.26	1960.36	2970.94	4113.58	4819.12	0.2868	0.6644	1.7857
♀	0.1666667	920.30	1206.39	1763.40	2414.27	2845.92	0.2728	0.5472	1.6714
♀	0.2500000	932.37	1220.41	1781.19	2436.60	2871.35	0.2719	0.5452	1.6715
♀	0.3333333	944.54	1234.53	1799.12	2459.09	2896.94	0.2710	0.5432	1.6716
♀	0.4166667	956.80	1248.75	1817.17	2481.73	2922.70	0.2702	0.5412	1.6717
♀	0.5000000	969.16	1263.08	1835.34	2504.51	2948.63	0.2693	0.5392	1.6718
♀	0.5833333	981.61	1277.51	1853.64	2527.44	2974.72	0.2685	0.5372	1.6719
♀	0.6666667	994.15	1292.05	1872.05	2550.52	3000.97	0.2676	0.5353	1.6720
♀	0.7500000	1006.78	1306.68	1890.59	2573.74	3027.37	0.2668	0.5333	1.6721
♀	0.8333333	1019.50	1321.42	1909.25	2597.10	3053.94	0.2660	0.5313	1.6722
♀	0.9166667	1032.31	1336.25	1928.02	2620.60	3080.66	0.2652	0.5294	1.6723
♀	1.0000000	1045.22	1351.18	1946.92	2644.23	3107.53	0.2644	0.5274	1.6723
♀	2.0000000	1206.65	1537.61	2182.09	2937.84	3440.92	0.2553	0.5048	1.6734
♀	5.0000000	1742.23	2150.44	2945.79	3882.52	4508.87	0.2337	0.4436	1.6767
♀	6.0000000	1924.89	2357.25	3199.92	4193.55	4858.74	0.2280	0.4254	1.6778
♀	7.0000000	2103.37	2558.24	3445.09	4492.00	5193.58	0.2229	0.4084	1.6789
♀	8.0000000	2274.62	2750.06	3677.42	4773.29	5508.36	0.2184	0.3923	1.6800
♀	17.0000000	3132.81	3681.01	4756.25	6036.66	6899.79	0.1962	0.2926	1.6901
♀	18.0000000	3137.11	3681.01	4748.60	6020.76	6878.53	0.1952	0.2861	1.6913
♀	19.0000000	3127.55	3665.62	4722.57	5982.82	6832.70	0.1943	0.2805	1.6924
♀	20.0000000	3106.96	3638.13	4682.29	5928.00	6768.15	0.1937	0.2757	1.6935
♀	21.0000000	3078.21	3601.85	4631.91	5861.45	6690.71	0.1931	0.2717	1.6947
♀	22.0000000	3044.01	3559.86	4575.30	5787.94	6605.76	0.1928	0.2685	1.6958
♀	23.0000000	3006.32	3514.39	4515.20	5710.81	6517.05	0.1926	0.2662	1.6970
♀	24.0000000	2966.83	3467.36	4453.94	5632.91	6427.76	0.1924	0.2645	1.6981
♀	25.0000000	2927.15	3420.58	4393.75	5556.94	6340.93	0.1924	0.2636	1.6993
♀	26.0000000	2888.79	3375.77	4336.72	5485.46	6259.40	0.1925	0.2635	1.7005
♀	27.0000000	2853.18	3334.52	4284.82	5420.86	6185.87	0.1927	0.2640	1.7016
♀	28.0000000	2821.52	3298.20	4239.71	5365.17	6122.62	0.1929	0.2652	1.7028
♀	29.0000000	2794.82	3267.96	4202.82	5320.13	6071.59	0.1932	0.2671	1.7040
♀	30.0000000	2774.08	3244.93	4175.54	5287.44	6034.67	0.1935	0.2696	1.7052
♀	31.0000000	2760.27	3230.22	4159.26	5268.83	6013.83	0.1939	0.2728	1.7063
♀	32.0000000	2754.38	3224.99	4155.43	5266.10	6011.09	0.1943	0.2766	1.7075
♀	65.0000000	2437.28	2948.96	3917.51	4986.52	5648.54	0.2060	0.6220	1.7483
♀	66.0000000	2413.11	2925.53	3893.52	4958.59	5616.29	0.2069	0.6355	1.7496
♀	67.0000000	2387.74	2901.08	3868.86	4930.46	5584.15	0.2078	0.6489	1.7509
♀	68.0000000	2360.52	2874.87	3842.65	4901.05	5550.96	0.2089	0.6623	1.7522
♀	69.0000000	2330.82	2846.18	3814.01	4869.31	5515.54	0.2101	0.6755	1.7535
♀	70.0000000	2298.06	2814.35	3782.10	4834.25	5476.81	0.2116	0.6887	1.7548
♀	71.0000000	2261.88	2778.98	3746.49	4795.36	5434.23	0.2132	0.7018	1.7562
♀	72.0000000	2222.50	2740.38	3707.64	4753.33	5388.60	0.2151	0.7147	1.7575
♀	73.0000000	2180.19	2698.94	3666.19	4709.00	5340.92	0.2172	0.7275	1.7588
♀	74.0000000	2135.20	2655.03	3622.71	4663.22	5292.17	0.2196	0.7401	1.7601
♀	75.0000000	2087.76	2609.00	3577.78	4616.79	5243.31	0.2223	0.7525	1.7614
♀	76.0000000	2038.05	2561.15	3531.94	4570.52	5195.27	0.2253	0.7647	1.7628
♀	77.0000000	1986.15	2511.67	3485.60	4525.02	5148.83	0.2287	0.7767	1.7641
♀	78.0000000	1932.08	2460.71	3439.11	4480.87	5104.67	0.2326	0.7884	1.7654
♀	79.0000000	1875.81	2408.34	3392.79	4438.63	5063.48	0.2370	0.7999	1.7668
♀	80.0000000	1817.28	2354.65	3346.93	4398.83	5025.96	0.2418	0.8111	1.7681

IGF1_INCL_CC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	14.02	21.40	39.95	65.66	82.98	0.4320	0.4086	1.9056
♂	0.2500000	14.07	21.46	40.05	65.82	83.16	0.4318	0.4086	1.9092
♂	0.3333333	14.13	21.53	40.17	66.01	83.36	0.4315	0.4086	1.9135
♂	0.4166667	14.20	21.61	40.31	66.23	83.60	0.4312	0.4086	1.9184
♂	0.5000000	14.28	21.71	40.48	66.48	83.87	0.4308	0.4086	1.9239
♂	0.5833333	14.36	21.81	40.65	66.75	84.17	0.4304	0.4086	1.9298
♂	0.6666667	14.46	21.93	40.85	67.06	84.51	0.4300	0.4086	1.9362
♂	0.7500000	14.56	22.06	41.07	67.39	84.87	0.4296	0.4085	1.9430
♂	0.8333333	14.68	22.19	41.30	67.75	85.27	0.4291	0.4085	1.9503
♂	0.9166667	14.80	22.34	41.55	68.14	85.71	0.4286	0.4085	1.9579
♂	1.0000000	14.93	22.50	41.83	68.57	86.18	0.4281	0.4084	1.9659
♂	2.0000000	17.45	25.63	47.15	76.82	95.54	0.4197	0.4059	2.0886
♂	5.0000000	38.30	50.53	85.25	132.45	158.75	0.3657	0.3565	2.5074
♂	6.0000000	47.49	60.53	96.76	145.20	172.04	0.3330	0.3315	2.5041
♂	7.0000000	59.54	73.78	111.65	161.90	190.72	0.3011	0.2764	2.3741
♂	8.0000000	67.28	82.02	119.47	170.04	201.35	0.2819	0.1742	2.1793
♂	15.0000000	209.01	255.91	357.70	466.50	522.05	0.2277	0.7759	2.2578
♂	16.0000000	210.27	252.12	343.61	443.87	496.67	0.2161	0.6734	2.2102
♂	17.0000000	197.62	234.80	316.30	407.52	456.99	0.2118	0.5887	2.1619
♂	18.0000000	179.97	213.23	286.02	368.99	415.31	0.2115	0.5207	2.1096
♂	19.0000000	162.75	192.98	258.83	335.05	378.87	0.2135	0.4674	2.0539
♂	20.0000000	148.81	176.92	237.72	309.03	351.22	0.2166	0.4260	1.9966
♂	21.0000000	139.07	165.91	223.41	291.57	333.04	0.2197	0.3941	1.9394
♂	22.0000000	132.72	158.91	214.34	280.61	322.01	0.2224	0.3698	1.8838
♂	23.0000000	128.45	154.30	208.34	273.33	314.94	0.2243	0.3515	1.8311
♂	24.0000000	124.43	149.95	202.54	266.08	307.69	0.2258	0.3380	1.7812
♂	25.0000000	119.41	144.34	194.95	256.31	297.36	0.2268	0.3281	1.7339
♂	26.0000000	114.14	138.37	186.85	245.72	285.92	0.2276	0.3213	1.6891
♂	27.0000000	110.02	133.76	180.53	237.40	276.95	0.2281	0.3173	1.6472
♂	28.0000000	107.56	131.12	176.83	232.40	271.73	0.2283	0.3157	1.6086
♂	29.0000000	106.28	129.85	174.90	229.60	268.90	0.2280	0.3167	1.5738
♂	30.0000000	105.67	129.31	173.87	227.85	267.12	0.2272	0.3201	1.5433
♂	31.0000000	105.28	128.98	173.02	226.22	265.31	0.2259	0.3258	1.5173
♂	32.0000000	104.72	128.38	171.81	224.07	262.75	0.2244	0.3335	1.4959
♂	33.0000000	103.73	127.22	169.87	220.98	258.98	0.2228	0.3431	1.4792
♂	34.0000000	102.33	125.54	167.32	217.15	254.30	0.2214	0.3544	1.4671
♂	35.0000000	100.63	123.53	164.44	213.03	249.25	0.2203	0.3672	1.4599
♂	36.0000000	98.78	121.34	161.49	208.97	244.28	0.2197	0.3812	1.4574
♂	37.0000000	96.83	119.09	158.61	205.15	239.60	0.2197	0.3963	1.4594
♂	38.0000000	94.84	116.82	155.84	201.62	235.30	0.2203	0.4121	1.4655
♂	39.0000000	92.85	114.58	153.22	198.41	231.40	0.2213	0.4281	1.4752
♂	40.0000000	90.89	112.40	150.79	195.54	227.91	0.2228	0.4440	1.4880
♂	41.0000000	89.04	110.34	148.55	192.96	224.78	0.2244	0.4589	1.5033
♂	42.0000000	87.35	108.45	146.52	190.67	221.96	0.2261	0.4719	1.5208
♂	43.0000000	85.88	106.76	144.70	188.63	219.44	0.2276	0.4824	1.5398
♂	44.0000000	84.63	105.28	143.10	186.85	217.22	0.2289	0.4900	1.5599
♂	45.0000000	83.55	103.97	141.68	185.30	215.28	0.2301	0.4947	1.5804
♂	46.0000000	82.60	102.80	140.43	183.97	213.65	0.2313	0.4965	1.6005
♂	47.0000000	81.74	101.72	139.30	182.84	212.29	0.2327	0.4955	1.6199
♂	48.0000000	80.88	100.66	138.20	181.78	211.08	0.2342	0.4921	1.6377
♂	49.0000000	79.94	99.51	137.00	180.63	209.82	0.2359	0.4871	1.6535
♂	50.0000000	78.85	98.22	135.59	179.25	208.36	0.2378	0.4811	1.6668
♂	51.0000000	77.56	96.71	133.92	177.53	206.55	0.2399	0.4746	1.6772
♂	52.0000000	76.11	95.01	131.98	175.47	204.39	0.2422	0.4678	1.6848
♂	53.0000000	74.56	93.21	129.89	173.20	202.02	0.2445	0.4606	1.6900
♂	54.0000000	73.02	91.42	127.78	170.87	199.59	0.2468	0.4528	1.6933
♂	55.0000000	71.58	89.73	125.74	168.60	197.24	0.2489	0.4444	1.6952
♂	56.0000000	70.28	88.20	123.88	166.54	195.12	0.2509	0.4351	1.6962
♂	57.0000000	69.20	86.90	122.29	164.81	193.38	0.2527	0.4249	1.6966
♂	58.0000000	68.33	85.85	121.03	163.48	192.11	0.2543	0.4136	1.6967
♂	59.0000000	67.70	85.08	120.12	162.61	191.38	0.2558	0.4014	1.6967
♂	60.0000000	67.29	84.57	119.55	162.20	191.20	0.2573	0.3882	1.6969
♂	61.0000000	67.05	84.26	119.27	162.19	191.50	0.2588	0.3742	1.6971
♂	62.0000000	66.92	84.09	119.18	162.46	192.16	0.2603	0.3595	1.6974
♂	63.0000000	66.84	83.98	119.18	162.89	193.03	0.2620	0.3442	1.6978
♂	64.0000000	66.71	83.82	119.16	163.32	193.92	0.2638	0.3284	1.6982
♂	65.0000000	66.48	83.54	118.97	163.57	194.65	0.2659	0.3123	1.6986
♂	66.0000000	66.07	83.05	118.54	163.54	195.07	0.2682	0.2959	1.6992
♂	67.0000000	65.45	82.32	117.78	163.12	195.09	0.2707	0.2793	1.6998
♂	68.0000000	64.58	81.29	116.66	162.26	194.62	0.2737	0.2625	1.7007
♂	69.0000000	63.49	80.01	115.21	161.01	193.73	0.2770	0.2457	1.7019
♂	70.0000000	62.23	78.51	113.50	159.45	192.51	0.2806	0.2287	1.7034
♂	71.0000000	60.85	76.89	111.63	157.72	191.12	0.2846	0.2117	1.7052
♂	72.0000000	59.41	75.20	109.70	155.94	189.72	0.2890	0.1947	1.7076
♂	73.0000000	57.97	73.51	107.79	154.24	188.43	0.2936	0.1778	1.7103
♂	74.0000000	56.58	71.88	105.97	152.70	187.37	0.2985	0.1609	1.7135
♂	75.0000000	55.26	70.35	104.30	151.40	186.64	0.3037	0.1442	1.7172
♂	76.0000000	54.03	68.92	102.79	150.36	186.25	0.3090	0.1276	1.7213
♂	77.0000000	52.89	67.61	101.44	149.56	186.19	0.3145	0.1112	1.7256
♂	78.0000000	51.82	66.38	100.22	148.97	186.42	0.3201	0.0949	1.7303
♂	79.0000000	50.82	65.23	99.10	148.56	186.90	0.3259	0.0788	1.7351
♂	80.0000000	49.87	64.14	98.05	148.26	187.56	0.3317	0.0629	1.7401
♀	0.1666667	12.25	21.19	42.83	69.69	85.66	0.4438	0.6272	2.0258
♀	0.2500000	12.42	21.42	43.20	70.26	86.36	0.4430	0.6254	2.0237
♀	0.3333333	12.61	21.69	43.65	70.93	87.19	0.4420	0.6234	2.0212
♀	0.4166667	12.84	22.01	44.16	71.69	88.13	0.4409	0.6211	2.0184
♀	0.5000000	13.10	22.36	44.72	72.55	89.19	0.4398	0.6185	2.0153
♀	0.5833333	13.38	22.75	45.35	73.49	90.34	0.4385	0.6158	2.0120
♀	0.6666667	13.69	23.17	46.02	74.50	91.60	0.4371	0.6128	2.0084
♀	0.7500000	14.02	23.63	46.75	75.59	92.94	0.4357	0.6096	2.0046
♀	0.8333333	14.38	24.11	47.52	76.76	94.38	0.4341	0.6063	2.0007
♀	0.9166667	14.76	24.63	48.35	77.99	95.90	0.4325	0.6028	1.9965
♀	1.0000000	15.17	25.19	49.22	79.29	97.50	0.4308	0.5992	1.9922
♀	2.0000000	21.87	34.00	62.58	98.82	121.49	0.4062	0.5467	1.9339
♀	5.0000000	53.02	68.91	104.01	149.54	180.72	0.3043	0.3246	1.7863
♀	6.0000000	64.14	80.14	115.63	162.61	195.60	0.2790	0.2052	1.7798
♀	7.0000000	74.91	91.03	128.47	180.02	216.58	0.2681	0.0606	1.8523
♀	8.0000000	84.57	100.72	141.75	201.60	243.44	0.2702	-0.0866	2.0382
♀	14.0000000	197.97	251.47	348.36	446.46	501.74	0.2204	0.9563	1.8394
♀	15.0000000	175.57	225.02	315.73	409.27	462.89	0.2301	0.8962	1.8246
♀	16.0000000	157.05	203.57	289.75	380.14	432.93	0.2407	0.8449	1.8044
♀	17.0000000	141.28	185.46	267.80	355.60	407.96	0.2515	0.8006	1.7767
♀	18.0000000	130.05	172.49	251.96	338.08	390.62	0.2607	0.7581	1.7452
♀	19.0000000	122.34	163.00	239.61	324.07	376.78	0.2672	0.7125	1.7172
♀	20.0000000	116.13	154.25	226.81	308.35	360.27	0.2704	0.6596	1.7000
♀	21.0000000	111.72	146.98	215.31	293.78	344.58	0.2712	0.5969	1.6982
♀	22.0000000	109.39	142.04	206.95	283.37	333.46	0.2710	0.5242	1.7133
♀	23.0000000	108.37	138.82	201.33	276.91	326.90	0.2712	0.4465	1.7428
♀	24.0000000	107.89	136.54	197.45	273.17	323.55	0.2723	0.3689	1.7836
♀	25.0000000	107.08	134.00	193.28	268.98	319.50	0.2733	0.2958	1.8319
♀	26.0000000	105.38	130.45	187.50	262.06	311.82	0.2732	0.2303	1.8839
♀	27.0000000	103.40	126.67	181.10	253.57	301.81	0.2713	0.1735	1.9359
♀	28.0000000	101.94	123.61	175.43	245.33	291.62	0.2675	0.1253	1.9844
♀	29.0000000	101.28	121.62	171.05	238.27	282.50	0.2620	0.0852	2.0269
♀	30.0000000	101.29	120.59	167.99	232.71	275.01	0.2558	0.0521	2.0619
♀	31.0000000	101.89	120.40	166.18	228.78	269.43	0.2495	0.0254	2.0883
♀	32.0000000	102.80	120.73	165.21	225.99	265.28	0.2435	0.0039	2.1057
♀	33.0000000	103.70	121.19	164.58	223.77	261.92	0.2381	-0.0131	2.1140
♀	34.0000000	104.36	121.50	163.91	221.65	258.84	0.2334	-0.0264	2.1132
♀	35.0000000	104.60	121.45	162.95	219.33	255.71	0.2295	-0.0364	2.1043
♀	36.0000000	104.29	120.90	161.52	216.59	252.27	0.2266	-0.0436	2.0882
♀	37.0000000	103.35	119.73	159.48	213.28	248.37	0.2246	-0.0484	2.0658
♀	38.0000000	101.85	118.03	156.94	209.57	244.19	0.2236	-0.0510	2.0384
♀	39.0000000	99.92	115.93	154.10	205.70	240.02	0.2236	-0.0516	2.0071
♀	40.0000000	97.65	113.55	151.09	201.88	236.09	0.2248	-0.0505	1.9730
♀	41.0000000	95.15	110.99	148.04	198.25	232.55	0.2270	-0.0479	1.9369
♀	42.0000000	92.48	108.32	145.00	194.85	229.42	0.2302	-0.0438	1.9002
♀	43.0000000	89.72	105.59	142.03	191.70	226.73	0.2343	-0.0387	1.8637
♀	44.0000000	86.91	102.86	139.16	188.85	224.47	0.2392	-0.0325	1.8283
♀	45.0000000	84.12	100.16	136.43	186.28	222.61	0.2448	-0.0253	1.7948
♀	46.0000000	81.40	97.57	133.86	183.96	221.05	0.2507	-0.0170	1.7639
♀	47.0000000	78.83	95.12	131.47	181.86	219.67	0.2567	-0.0072	1.7364
♀	48.0000000	76.45	92.85	129.29	179.94	218.40	0.2625	0.0040	1.7127
♀	49.0000000	74.29	90.80	127.31	178.17	217.13	0.2678	0.0168	1.6932
♀	50.0000000	72.37	88.98	125.55	176.51	215.78	0.2724	0.0312	1.6779
♀	51.0000000	70.73	87.41	124.00	174.92	214.27	0.2761	0.0471	1.6668
♀	52.0000000	69.38	86.10	122.66	173.38	212.54	0.2787	0.0646	1.6600
♀	53.0000000	68.32	85.06	121.53	171.84	210.54	0.2800	0.0836	1.6575
♀	54.0000000	67.49	84.22	120.52	170.28	208.27	0.2803	0.1037	1.6588
♀	55.0000000	66.82	83.50	119.58	168.65	205.75	0.2797	0.1246	1.6635
♀	56.0000000	66.23	82.83	118.63	166.90	203.00	0.2786	0.1457	1.6709
♀	57.0000000	65.67	82.15	117.61	165.01	200.03	0.2770	0.1669	1.6808
♀	58.0000000	65.09	81.41	116.49	162.96	196.86	0.2753	0.1877	1.6928
♀	59.0000000	64.47	80.61	115.27	160.79	193.56	0.2736	0.2078	1.7067
♀	60.0000000	63.82	79.76	113.97	158.56	190.23	0.2719	0.2270	1.7222
♀	61.0000000	63.15	78.85	112.62	156.30	186.91	0.2703	0.2449	1.7394
♀	62.0000000	62.44	77.91	111.23	154.06	183.67	0.2689	0.2613	1.7580
♀	63.0000000	61.72	76.94	109.83	151.86	180.56	0.2678	0.2759	1.7780
♀	64.0000000	60.96	75.94	108.42	149.74	177.60	0.2669	0.2888	1.7993
♀	65.0000000	60.20	74.92	107.02	147.70	174.80	0.2664	0.2998	1.8217
♀	66.0000000	59.42	73.90	105.65	145.75	172.17	0.2662	0.3092	1.8451
♀	67.0000000	58.64	72.88	104.31	143.92	169.72	0.2662	0.3168	1.8695
♀	68.0000000	57.86	71.87	103.00	142.19	167.46	0.2666	0.3228	1.8948
♀	69.0000000	57.09	70.86	101.74	140.59	165.38	0.2672	0.3272	1.9209
♀	70.0000000	56.32	69.88	100.53	139.10	163.48	0.2682	0.3301	1.9477
♀	71.0000000	55.56	68.91	99.37	137.73	161.75	0.2693	0.3318	1.9750
♀	72.0000000	54.81	67.95	98.25	136.46	160.17	0.2708	0.3324	2.0029
♀	73.0000000	54.06	67.01	97.18	135.27	158.72	0.2724	0.3322	2.0311
♀	74.0000000	53.32	66.09	96.14	134.18	157.40	0.2743	0.3313	2.0596
♀	75.0000000	52.59	65.19	95.15	133.16	156.19	0.2763	0.3299	2.0884
♀	76.0000000	51.87	64.31	94.19	132.22	155.09	0.2785	0.3282	2.1173
♀	77.0000000	51.16	63.44	93.27	131.34	154.08	0.2808	0.3261	2.1462
♀	78.0000000	50.46	62.59	92.38	130.53	153.15	0.2833	0.3239	2.1752
♀	79.0000000	49.78	61.77	91.53	129.77	152.29	0.2858	0.3214	2.2043
♀	80.0000000	49.11	60.96	90.71	129.06	151.50	0.2884	0.3189	2.2335

IGF1

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	14.30	21.63	40.27	66.50	84.30	0.4334	0.3839	1.9157
♂	0.2500000	14.33	21.66	40.32	66.57	84.36	0.4332	0.3840	1.9190
♂	0.3333333	14.37	21.70	40.39	66.67	84.46	0.4330	0.3841	1.9230
♂	0.4166667	14.42	21.75	40.48	66.81	84.60	0.4327	0.3843	1.9275
♂	0.5000000	14.48	21.82	40.59	66.98	84.77	0.4323	0.3844	1.9325
♂	0.5833333	14.55	21.90	40.73	67.18	84.98	0.4320	0.3846	1.9379
♂	0.6666667	14.62	21.99	40.88	67.41	85.23	0.4316	0.3848	1.9437
♂	0.7500000	14.71	22.10	41.05	67.68	85.51	0.4311	0.3850	1.9499
♂	0.8333333	14.81	22.21	41.25	67.97	85.82	0.4307	0.3852	1.9564
♂	0.9166667	14.91	22.34	41.46	68.30	86.18	0.4302	0.3854	1.9633
♂	1.0000000	15.03	22.48	41.70	68.67	86.58	0.4297	0.3856	1.9706
♂	2.0000000	17.47	25.55	46.92	76.73	95.74	0.4211	0.3866	2.0799
♂	5.0000000	37.95	50.32	84.74	131.72	158.66	0.3663	0.3476	2.4113
♂	6.0000000	46.84	60.02	95.74	143.80	171.47	0.3339	0.3159	2.3790
♂	7.0000000	58.70	73.18	110.80	161.39	191.77	0.3045	0.2482	2.2509
♂	8.0000000	66.20	81.10	118.53	170.12	203.58	0.2877	0.1322	2.0869
♂	15.0000000	209.01	255.91	357.70	466.50	522.05	0.2277	0.7759	2.2578
♂	16.0000000	210.27	252.12	343.61	443.87	496.67	0.2161	0.6734	2.2102
♂	17.0000000	197.62	234.80	316.30	407.52	456.99	0.2118	0.5887	2.1619
♂	18.0000000	179.97	213.23	286.02	368.99	415.31	0.2115	0.5207	2.1096
♂	19.0000000	162.75	192.98	258.83	335.05	378.87	0.2135	0.4674	2.0539
♂	20.0000000	148.81	176.92	237.72	309.03	351.22	0.2166	0.4260	1.9966
♂	21.0000000	139.07	165.91	223.41	291.57	333.04	0.2197	0.3941	1.9394
♂	22.0000000	132.72	158.91	214.34	280.61	322.01	0.2224	0.3698	1.8838
♂	23.0000000	128.45	154.30	208.34	273.33	314.94	0.2243	0.3515	1.8311
♂	24.0000000	124.43	149.95	202.54	266.08	307.69	0.2258	0.3380	1.7812
♂	25.0000000	119.41	144.34	194.95	256.31	297.36	0.2268	0.3281	1.7339
♂	26.0000000	114.14	138.37	186.85	245.72	285.92	0.2276	0.3213	1.6891
♂	27.0000000	110.02	133.76	180.53	237.40	276.95	0.2281	0.3173	1.6472
♂	28.0000000	107.56	131.12	176.83	232.40	271.73	0.2283	0.3157	1.6086
♂	29.0000000	106.28	129.85	174.90	229.60	268.90	0.2280	0.3167	1.5738
♂	30.0000000	105.67	129.31	173.87	227.85	267.12	0.2272	0.3201	1.5433
♂	31.0000000	105.28	128.98	173.02	226.22	265.31	0.2259	0.3258	1.5173
♂	32.0000000	104.72	128.38	171.81	224.07	262.75	0.2244	0.3335	1.4959
♂	33.0000000	103.73	127.22	169.87	220.98	258.98	0.2228	0.3431	1.4792
♂	34.0000000	102.33	125.54	167.32	217.15	254.30	0.2214	0.3544	1.4671
♂	35.0000000	100.63	123.53	164.44	213.03	249.25	0.2203	0.3672	1.4599
♂	36.0000000	98.78	121.34	161.49	208.97	244.28	0.2197	0.3812	1.4574
♂	37.0000000	96.83	119.09	158.61	205.15	239.60	0.2197	0.3963	1.4594
♂	38.0000000	94.84	116.82	155.84	201.62	235.30	0.2203	0.4121	1.4655
♂	39.0000000	92.85	114.58	153.22	198.41	231.40	0.2213	0.4281	1.4752
♂	40.0000000	90.89	112.40	150.79	195.54	227.91	0.2228	0.4440	1.4880
♂	41.0000000	89.04	110.34	148.55	192.96	224.78	0.2244	0.4589	1.5033
♂	42.0000000	87.35	108.45	146.52	190.67	221.96	0.2261	0.4719	1.5208
♂	43.0000000	85.88	106.76	144.70	188.63	219.44	0.2276	0.4824	1.5398
♂	44.0000000	84.63	105.28	143.10	186.85	217.22	0.2289	0.4900	1.5599
♂	45.0000000	83.55	103.97	141.68	185.30	215.28	0.2301	0.4947	1.5804
♂	46.0000000	82.60	102.80	140.43	183.97	213.65	0.2313	0.4965	1.6005
♂	47.0000000	81.74	101.72	139.30	182.84	212.29	0.2327	0.4955	1.6199
♂	48.0000000	80.88	100.66	138.20	181.78	211.08	0.2342	0.4921	1.6377
♂	49.0000000	79.94	99.51	137.00	180.63	209.82	0.2359	0.4871	1.6535
♂	50.0000000	78.85	98.22	135.59	179.25	208.36	0.2378	0.4811	1.6668
♂	51.0000000	77.56	96.71	133.92	177.53	206.55	0.2399	0.4746	1.6772
♂	52.0000000	76.11	95.01	131.98	175.47	204.39	0.2422	0.4678	1.6848
♂	53.0000000	74.56	93.21	129.89	173.20	202.02	0.2445	0.4606	1.6900
♂	54.0000000	73.02	91.42	127.78	170.87	199.59	0.2468	0.4528	1.6933
♂	55.0000000	71.58	89.73	125.74	168.60	197.24	0.2489	0.4444	1.6952
♂	56.0000000	70.28	88.20	123.88	166.54	195.12	0.2509	0.4351	1.6962
♂	57.0000000	69.20	86.90	122.29	164.81	193.38	0.2527	0.4249	1.6966
♂	58.0000000	68.33	85.85	121.03	163.48	192.11	0.2543	0.4136	1.6967
♂	59.0000000	67.70	85.08	120.12	162.61	191.38	0.2558	0.4014	1.6967
♂	60.0000000	67.29	84.57	119.55	162.20	191.20	0.2573	0.3882	1.6969
♂	61.0000000	67.05	84.26	119.27	162.19	191.50	0.2588	0.3742	1.6971
♂	62.0000000	66.92	84.09	119.18	162.46	192.16	0.2603	0.3595	1.6974
♂	63.0000000	66.84	83.98	119.18	162.89	193.03	0.2620	0.3442	1.6978
♂	64.0000000	66.71	83.82	119.16	163.32	193.92	0.2638	0.3284	1.6982
♂	65.0000000	66.48	83.54	118.97	163.57	194.65	0.2659	0.3123	1.6986
♂	66.0000000	66.07	83.05	118.54	163.54	195.07	0.2682	0.2959	1.6992
♂	67.0000000	65.45	82.32	117.78	163.12	195.09	0.2707	0.2793	1.6998
♂	68.0000000	64.58	81.29	116.66	162.26	194.62	0.2737	0.2625	1.7007
♂	69.0000000	63.49	80.01	115.21	161.01	193.73	0.2770	0.2457	1.7019
♂	70.0000000	62.23	78.51	113.50	159.45	192.51	0.2806	0.2287	1.7034
♂	71.0000000	60.85	76.89	111.63	157.72	191.12	0.2846	0.2117	1.7052
♂	72.0000000	59.41	75.20	109.70	155.94	189.72	0.2890	0.1947	1.7076
♂	73.0000000	57.97	73.51	107.79	154.24	188.43	0.2936	0.1778	1.7103
♂	74.0000000	56.58	71.88	105.97	152.70	187.37	0.2985	0.1609	1.7135
♂	75.0000000	55.26	70.35	104.30	151.40	186.64	0.3037	0.1442	1.7172
♂	76.0000000	54.03	68.92	102.79	150.36	186.25	0.3090	0.1276	1.7213
♂	77.0000000	52.89	67.61	101.44	149.56	186.19	0.3145	0.1112	1.7256
♂	78.0000000	51.82	66.38	100.22	148.97	186.42	0.3201	0.0949	1.7303
♂	79.0000000	50.82	65.23	99.10	148.56	186.90	0.3259	0.0788	1.7351
♂	80.0000000	49.87	64.14	98.05	148.26	187.56	0.3317	0.0629	1.7401
♀	0.1666667	12.85	21.45	43.01	71.17	88.65	0.4521	0.5432	1.9998
♀	0.2500000	13.01	21.67	43.35	71.66	89.26	0.4510	0.5420	1.9965
♀	0.3333333	13.20	21.94	43.75	72.26	90.00	0.4498	0.5406	1.9926
♀	0.4166667	13.43	22.24	44.22	72.94	90.85	0.4484	0.5390	1.9882
♀	0.5000000	13.68	22.59	44.75	73.70	91.79	0.4468	0.5372	1.9835
♀	0.5833333	13.96	22.97	45.33	74.55	92.84	0.4452	0.5353	1.9784
♀	0.6666667	14.27	23.39	45.97	75.47	93.97	0.4434	0.5333	1.9731
♀	0.7500000	14.60	23.84	46.65	76.46	95.19	0.4414	0.5312	1.9674
♀	0.8333333	14.95	24.32	47.39	77.51	96.50	0.4394	0.5290	1.9615
♀	0.9166667	15.33	24.83	48.17	78.64	97.88	0.4373	0.5266	1.9554
♀	1.0000000	15.74	25.38	48.99	79.82	99.35	0.4352	0.5242	1.9491
♀	2.0000000	22.40	34.17	61.84	97.85	121.41	0.4044	0.4910	1.8663
♀	5.0000000	51.78	68.42	103.78	148.87	180.31	0.3064	0.3701	1.7074
♀	6.0000000	63.19	80.36	116.73	163.54	196.67	0.2812	0.2865	1.7012
♀	7.0000000	75.31	92.65	130.71	181.04	216.68	0.2646	0.1647	1.7644
♀	8.0000000	84.68	101.57	142.27	198.94	238.08	0.2629	0.0151	1.9520
♀	14.0000000	200.12	252.57	348.61	446.08	500.61	0.2182	0.9474	1.8643
♀	15.0000000	181.45	229.71	319.59	411.33	462.24	0.2231	0.9292	1.8970
♀	16.0000000	163.13	208.46	293.85	381.34	429.65	0.2307	0.9186	1.9191
♀	17.0000000	145.56	188.88	270.95	355.27	401.79	0.2408	0.9131	1.9257
♀	18.0000000	133.04	175.49	256.04	339.08	385.09	0.2506	0.9061	1.9194
♀	19.0000000	125.16	167.00	246.57	329.08	375.14	0.2581	0.8915	1.9075
♀	20.0000000	119.50	159.80	236.93	317.66	363.13	0.2618	0.8652	1.8986
♀	21.0000000	115.73	153.65	227.13	305.09	349.39	0.2621	0.8253	1.8977
♀	22.0000000	113.65	148.85	218.36	293.39	336.38	0.2601	0.7722	1.9070
♀	23.0000000	112.46	145.18	211.31	284.11	326.14	0.2581	0.7105	1.9242
♀	24.0000000	111.59	142.29	205.94	277.53	319.15	0.2574	0.6445	1.9468
♀	25.0000000	110.58	139.44	200.84	271.42	312.75	0.2570	0.5777	1.9715
♀	26.0000000	109.12	136.13	194.96	264.02	304.76	0.2560	0.5127	1.9952
♀	27.0000000	107.59	132.80	188.81	255.80	295.60	0.2537	0.4510	2.0158
♀	28.0000000	106.47	130.02	183.14	247.66	286.26	0.2497	0.3939	2.0318
♀	29.0000000	105.88	127.97	178.30	240.19	277.48	0.2442	0.3415	2.0423
♀	30.0000000	105.70	126.54	174.38	233.75	269.78	0.2383	0.2934	2.0473
♀	31.0000000	105.83	125.67	171.36	228.53	263.48	0.2324	0.2493	2.0468
♀	32.0000000	106.17	125.20	169.12	224.42	258.51	0.2270	0.2089	2.0411
♀	33.0000000	106.61	125.02	167.49	221.25	254.70	0.2222	0.1719	2.0304
♀	34.0000000	107.05	125.00	166.28	218.82	251.85	0.2182	0.1379	2.0151
♀	35.0000000	107.34	124.92	165.23	216.78	249.55	0.2150	0.1070	1.9958
♀	36.0000000	107.30	124.59	164.07	214.79	247.44	0.2127	0.0794	1.9733
♀	37.0000000	106.79	123.86	162.59	212.59	245.21	0.2113	0.0550	1.9482
♀	38.0000000	105.78	122.65	160.72	210.10	242.78	0.2108	0.0339	1.9211
♀	39.0000000	104.25	120.96	158.45	207.32	240.16	0.2114	0.0161	1.8928
♀	40.0000000	102.20	118.79	155.78	204.27	237.37	0.2130	0.0016	1.8637
♀	41.0000000	99.71	116.19	152.77	201.00	234.48	0.2157	-0.0099	1.8346
♀	42.0000000	96.90	113.31	149.54	197.64	231.59	0.2193	-0.0186	1.8060
♀	43.0000000	93.91	110.26	146.22	194.31	228.82	0.2238	-0.0251	1.7786
♀	44.0000000	90.82	107.14	142.91	191.09	226.26	0.2289	-0.0295	1.7527
♀	45.0000000	87.73	104.03	139.66	188.03	223.91	0.2346	-0.0317	1.7291
♀	46.0000000	84.71	101.00	136.56	185.16	221.74	0.2405	-0.0315	1.7083
♀	47.0000000	81.85	98.13	133.63	182.47	219.69	0.2465	-0.0284	1.6908
♀	48.0000000	79.18	95.46	130.93	179.98	217.72	0.2522	-0.0222	1.6771
♀	49.0000000	76.76	93.03	128.48	177.68	215.78	0.2576	-0.0127	1.6673
♀	50.0000000	74.62	90.88	126.32	175.58	213.85	0.2623	0.0003	1.6615
♀	51.0000000	72.79	89.05	124.49	173.71	211.90	0.2661	0.0167	1.6599
♀	52.0000000	71.30	87.56	123.00	172.05	209.92	0.2689	0.0366	1.6623
♀	53.0000000	70.16	86.42	121.85	170.60	207.90	0.2706	0.0600	1.6689
♀	54.0000000	69.28	85.54	120.93	169.25	205.76	0.2713	0.0862	1.6791
♀	55.0000000	68.57	84.81	120.12	167.87	203.42	0.2711	0.1144	1.6924
♀	56.0000000	67.93	84.12	119.28	166.35	200.81	0.2704	0.1439	1.7082
♀	57.0000000	67.28	83.38	118.34	164.60	197.88	0.2692	0.1741	1.7261
♀	58.0000000	66.56	82.54	117.20	162.55	194.59	0.2678	0.2044	1.7456
♀	59.0000000	65.78	81.59	115.89	160.27	191.06	0.2663	0.2342	1.7666
♀	60.0000000	64.95	80.57	114.46	157.85	187.42	0.2648	0.2627	1.7888
♀	61.0000000	64.09	79.49	112.96	155.38	183.78	0.2633	0.2895	1.8122
♀	62.0000000	63.20	78.38	111.41	152.92	180.24	0.2620	0.3141	1.8366
♀	63.0000000	62.31	77.25	109.86	150.52	176.87	0.2610	0.3360	1.8618
♀	64.0000000	61.41	76.12	108.33	148.24	173.72	0.2603	0.3550	1.8879
♀	65.0000000	60.52	74.99	106.84	146.09	170.80	0.2600	0.3712	1.9147
♀	66.0000000	59.64	73.87	105.41	144.10	168.14	0.2600	0.3845	1.9422
♀	67.0000000	58.77	72.78	104.03	142.27	165.74	0.2604	0.3951	1.9703
♀	68.0000000	57.92	71.72	102.74	140.63	163.62	0.2611	0.4029	1.9989
♀	69.0000000	57.08	70.69	101.53	139.18	161.78	0.2623	0.4081	2.0281
♀	70.0000000	56.27	69.69	100.40	137.91	160.22	0.2639	0.4109	2.0577
♀	71.0000000	55.47	68.71	99.34	136.80	158.89	0.2658	0.4115	2.0876
♀	72.0000000	54.67	67.75	98.33	135.82	157.75	0.2681	0.4105	2.1179
♀	73.0000000	53.89	66.81	97.37	134.95	156.76	0.2707	0.4081	2.1485
♀	74.0000000	53.10	65.88	96.44	134.17	155.91	0.2735	0.4046	2.1793
♀	75.0000000	52.32	64.95	95.54	133.45	155.15	0.2766	0.4003	2.2102
♀	76.0000000	51.53	64.03	94.66	132.79	154.48	0.2798	0.3954	2.2412
♀	77.0000000	50.75	63.11	93.79	132.18	153.88	0.2833	0.3902	2.2723
♀	78.0000000	49.98	62.21	92.95	131.61	153.35	0.2869	0.3846	2.3034
♀	79.0000000	49.21	61.32	92.13	131.09	152.88	0.2906	0.3787	2.3346
♀	80.0000000	48.46	60.45	91.34	130.61	152.47	0.2944	0.3727	2.3659

life_liver.ref

Citations

• Bussler et al, New pediatric percentiles of liver enzyme serum levels (ALT, AST, GGT): effects of age, sex, BMI and pubertal stage, Hepatology 2017

ALAT_NW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.9166667	12.86	15.67	21.22	29.95	39.68	0.2674	-0.3988	1.2746
♂	1.0000000	12.73	15.53	21.05	29.74	39.40	0.2682	-0.3914	1.2738
♂	2.0000000	11.34	14.02	19.28	27.43	36.32	0.2778	-0.3053	1.2691
♂	5.0000000	9.72	12.22	17.16	24.49	31.77	0.2865	-0.1372	1.3252
♂	6.0000000	9.77	12.20	17.06	24.30	31.39	0.2828	-0.1557	1.3537
♂	7.0000000	9.96	12.27	17.01	24.14	31.02	0.2759	-0.2027	1.4000
♂	8.0000000	10.25	12.45	17.08	24.11	30.79	0.2676	-0.2601	1.4514
♀	0.9166667	10.82	14.62	20.42	27.09	32.74	0.2576	0.5395	1.1837
♀	1.0000000	10.79	14.53	20.26	26.87	32.45	0.2565	0.5344	1.1898
♀	2.0000000	10.43	13.57	18.62	24.51	29.30	0.2441	0.4797	1.2670
♀	5.0000000	10.35	12.82	17.18	22.29	26.06	0.2233	0.4258	1.4543
♀	6.0000000	10.36	12.88	17.41	22.79	26.77	0.2302	0.3989	1.4677
♀	7.0000000	10.25	12.85	17.63	23.50	27.98	0.2439	0.3214	1.4590
♀	8.0000000	10.15	12.77	17.74	24.19	29.42	0.2595	0.1846	1.4371

ASAT_NW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.9166667	34.89	39.38	47.61	59.11	70.27	0.1667	-0.6430	1.3145
♂	1.0000000	34.60	39.04	47.20	58.57	69.57	0.1664	-0.6421	1.3184
♂	2.0000000	31.58	35.47	42.74	52.81	62.17	0.1623	-0.6331	1.3680
♂	5.0000000	27.08	30.24	36.39	44.76	51.91	0.1580	-0.5659	1.4814
♂	6.0000000	25.99	29.10	35.18	43.43	50.44	0.1613	-0.5248	1.4897
♂	7.0000000	24.83	27.91	33.96	42.14	49.00	0.1659	-0.4649	1.5052
♂	8.0000000	23.83	26.87	32.90	40.99	47.59	0.1696	-0.3920	1.5372
♀	0.9166667	33.95	37.68	46.45	57.61	64.42	0.1646	-0.1328	2.1287
♀	1.0000000	33.72	37.41	46.06	57.02	63.69	0.1635	-0.1231	2.1305
♀	2.0000000	31.16	34.39	41.82	50.89	56.20	0.1519	-0.0150	2.1551
♀	5.0000000	27.40	30.10	36.20	43.57	47.92	0.1436	-0.0270	2.1130
♀	6.0000000	26.68	29.29	35.10	42.32	46.86	0.1435	-0.1854	1.9941
♀	7.0000000	25.69	28.26	33.81	40.99	45.94	0.1461	-0.3810	1.8435
♀	8.0000000	24.69	27.25	32.69	40.03	45.59	0.1520	-0.5496	1.7169

GGT_NW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.9166667	5.67	6.99	9.37	12.21	14.35	0.2257	0.3540	1.4631
♂	1.0000000	5.68	7.01	9.39	12.25	14.40	0.2260	0.3499	1.4562
♂	2.0000000	5.83	7.23	9.69	12.68	15.05	0.2294	0.3003	1.3771
♂	5.0000000	6.32	7.95	10.64	14.07	17.24	0.2400	0.1514	1.1943
♂	6.0000000	6.50	8.20	10.98	14.57	18.05	0.2436	0.1018	1.1543
♂	7.0000000	6.69	8.46	11.33	15.11	18.90	0.2473	0.0522	1.1276
♂	8.0000000	6.90	8.71	11.69	15.68	19.79	0.2511	0.0026	1.1148
♀	0.9166667	5.44	7.05	9.46	12.29	14.83	0.2358	0.4102	1.1322
♀	1.0000000	5.46	7.07	9.48	12.33	14.87	0.2354	0.4099	1.1343
♀	2.0000000	5.70	7.32	9.78	12.67	15.22	0.2316	0.4063	1.1601
♀	5.0000000	6.25	7.86	10.43	13.45	15.97	0.2233	0.3956	1.2431
♀	6.0000000	6.47	8.10	10.74	13.85	16.39	0.2220	0.3920	1.2733
♀	7.0000000	6.67	8.33	11.05	14.27	16.85	0.2218	0.3884	1.3050
♀	8.0000000	6.90	8.59	11.43	14.79	17.44	0.2225	0.3848	1.3381

life_thyr.ref

Citations

• Surup H, Vogel M, Koerner A, et al. Pediatric Reference Intervals for Thyrotropin, Free Triiodothyronine, and Free Thyroxine and the Relevance of Body Mass Index and Puberty in Measurement Interpretation. Thyroid [Internet] 2021;Available from: 10.1089/thy.2020.0780

TSH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	1.32	1.82	3.28	6.22	9.29	0.4847	-0.1416	1.7321
♂	0.2500000	1.31	1.81	3.25	6.15	9.15	0.4837	-0.1333	1.7318
♂	0.3333333	1.30	1.79	3.23	6.08	9.01	0.4827	-0.1249	1.7315
♂	0.4166667	1.29	1.78	3.20	6.01	8.87	0.4817	-0.1166	1.7312
♂	0.5000000	1.27	1.76	3.17	5.94	8.74	0.4806	-0.1083	1.7309
♂	0.5833333	1.26	1.75	3.14	5.87	8.60	0.4796	-0.1000	1.7307
♂	0.6666667	1.25	1.73	3.12	5.80	8.47	0.4786	-0.0917	1.7305
♂	0.7500000	1.23	1.72	3.09	5.73	8.35	0.4775	-0.0834	1.7304
♂	0.8333333	1.22	1.70	3.06	5.67	8.22	0.4765	-0.0752	1.7303
♂	0.9166667	1.21	1.69	3.04	5.60	8.10	0.4754	-0.0670	1.7303
♂	1.0000000	1.20	1.67	3.01	5.54	7.98	0.4743	-0.0588	1.7304
♂	2.0000000	1.08	1.53	2.75	4.89	6.79	0.4602	0.0352	1.7384
♂	5.0000000	0.98	1.41	2.51	4.17	5.42	0.4258	0.2395	1.8053
♂	6.0000000	0.97	1.42	2.54	4.18	5.39	0.4230	0.2878	1.7893
♂	7.0000000	0.96	1.43	2.58	4.21	5.43	0.4236	0.3310	1.7383
♂	8.0000000	0.93	1.43	2.59	4.23	5.45	0.4261	0.3691	1.6595
♂	17.0000000	0.83	1.16	2.16	3.82	5.02	0.4601	0.1318	2.1285
♂	18.0000000	0.85	1.16	2.19	3.97	5.20	0.4731	0.1033	2.3971
♀	0.1666667	1.10	1.66	3.16	5.59	7.57	0.4780	0.1969	1.7449
♀	0.2500000	1.09	1.65	3.13	5.53	7.48	0.4764	0.1986	1.7424
♀	0.3333333	1.09	1.64	3.11	5.48	7.40	0.4748	0.2004	1.7401
♀	0.4166667	1.08	1.63	3.08	5.42	7.32	0.4732	0.2021	1.7377
♀	0.5000000	1.08	1.62	3.06	5.37	7.24	0.4717	0.2038	1.7354
♀	0.5833333	1.07	1.61	3.04	5.32	7.16	0.4701	0.2055	1.7331
♀	0.6666667	1.06	1.60	3.01	5.26	7.09	0.4685	0.2071	1.7309
♀	0.7500000	1.06	1.59	2.99	5.21	7.01	0.4670	0.2088	1.7287
♀	0.8333333	1.05	1.59	2.97	5.16	6.94	0.4655	0.2104	1.7266
♀	0.9166667	1.05	1.58	2.94	5.11	6.86	0.4639	0.2119	1.7245
♀	1.0000000	1.04	1.57	2.92	5.06	6.79	0.4624	0.2134	1.7225
♀	2.0000000	0.99	1.48	2.69	4.56	6.06	0.4456	0.2267	1.7056
♀	5.0000000	1.02	1.44	2.49	4.11	5.36	0.4128	0.1847	1.7881
♀	6.0000000	1.06	1.46	2.51	4.14	5.38	0.4085	0.1544	1.8370
♀	7.0000000	1.08	1.47	2.51	4.15	5.40	0.4067	0.1272	1.8794
♀	8.0000000	1.08	1.46	2.50	4.13	5.38	0.4062	0.1062	1.9138
♀	17.0000000	0.79	1.10	1.97	3.43	4.60	0.4467	0.0907	1.9012
♀	18.0000000	0.75	1.06	1.91	3.36	4.52	0.4525	0.0902	1.8845

FT3

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	5.62	6.17	7.13	8.06	8.58	0.1047	1.1625	1.8025
♂	0.2500000	5.61	6.16	7.11	8.05	8.58	0.1049	1.1472	1.7986
♂	0.3333333	5.60	6.15	7.10	8.04	8.57	0.1051	1.1320	1.7947
♂	0.4166667	5.59	6.14	7.09	8.03	8.56	0.1053	1.1167	1.7909
♂	0.5000000	5.58	6.12	7.08	8.02	8.55	0.1055	1.1013	1.7870
♂	0.5833333	5.57	6.11	7.06	8.00	8.54	0.1057	1.0859	1.7832
♂	0.6666667	5.56	6.10	7.05	7.99	8.53	0.1058	1.0705	1.7794
♂	0.7500000	5.55	6.09	7.04	7.98	8.52	0.1060	1.0550	1.7756
♂	0.8333333	5.54	6.08	7.03	7.97	8.51	0.1062	1.0395	1.7718
♂	0.9166667	5.53	6.07	7.02	7.96	8.50	0.1064	1.0239	1.7680
♂	1.0000000	5.52	6.06	7.01	7.95	8.49	0.1066	1.0082	1.7642
♂	2.0000000	5.42	5.95	6.87	7.82	8.39	0.1081	0.8141	1.7202
♂	5.0000000	5.36	5.83	6.67	7.61	8.24	0.1066	0.1749	1.6092
♂	6.0000000	5.37	5.82	6.65	7.59	8.23	0.1060	-0.0058	1.5958
♂	7.0000000	5.36	5.80	6.61	7.55	8.20	0.1053	-0.1371	1.5956
♂	8.0000000	5.34	5.77	6.56	7.48	8.13	0.1042	-0.2176	1.6035
♂	17.0000000	4.96	5.44	6.26	7.11	7.66	0.1070	0.6056	1.5896
♂	18.0000000	4.81	5.28	6.06	6.87	7.38	0.1050	0.7791	1.5811
♀	0.1666667	5.44	5.93	6.86	7.81	8.30	0.1068	0.9273	2.0324
♀	0.2500000	5.43	5.92	6.86	7.81	8.31	0.1073	0.9160	2.0144
♀	0.3333333	5.42	5.92	6.86	7.81	8.32	0.1077	0.9046	1.9966
♀	0.4166667	5.42	5.91	6.85	7.81	8.33	0.1082	0.8932	1.9790
♀	0.5000000	5.41	5.91	6.85	7.81	8.33	0.1087	0.8817	1.9616
♀	0.5833333	5.40	5.90	6.85	7.81	8.34	0.1091	0.8701	1.9443
♀	0.6666667	5.39	5.90	6.85	7.81	8.35	0.1096	0.8584	1.9273
♀	0.7500000	5.39	5.89	6.85	7.82	8.35	0.1100	0.8467	1.9104
♀	0.8333333	5.38	5.89	6.84	7.82	8.36	0.1105	0.8348	1.8937
♀	0.9166667	5.37	5.89	6.84	7.82	8.37	0.1109	0.8229	1.8772
♀	1.0000000	5.36	5.88	6.84	7.82	8.37	0.1114	0.8108	1.8609
♀	2.0000000	5.28	5.83	6.80	7.82	8.45	0.1163	0.6547	1.6813
♀	5.0000000	5.22	5.78	6.70	7.74	8.54	0.1198	0.1095	1.3713
♀	6.0000000	5.26	5.80	6.68	7.69	8.49	0.1162	-0.0472	1.3427
♀	7.0000000	5.33	5.83	6.67	7.64	8.42	0.1111	-0.1648	1.3516
♀	8.0000000	5.39	5.87	6.67	7.61	8.33	0.1060	-0.2353	1.3991
♀	17.0000000	3.85	4.42	5.40	6.39	6.98	0.1450	0.9255	1.6786
♀	18.0000000	3.63	4.23	5.27	6.30	6.92	0.1560	0.9778	1.6993

FT4

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	5.62	6.17	7.13	8.06	8.58	0.1047	1.1625	1.8025
♂	0.2500000	5.61	6.16	7.11	8.05	8.58	0.1049	1.1472	1.7986
♂	0.3333333	5.60	6.15	7.10	8.04	8.57	0.1051	1.1320	1.7947
♂	0.4166667	5.59	6.14	7.09	8.03	8.56	0.1053	1.1167	1.7909
♂	0.5000000	5.58	6.12	7.08	8.02	8.55	0.1055	1.1013	1.7870
♂	0.5833333	5.57	6.11	7.06	8.00	8.54	0.1057	1.0859	1.7832
♂	0.6666667	5.56	6.10	7.05	7.99	8.53	0.1058	1.0705	1.7794
♂	0.7500000	5.55	6.09	7.04	7.98	8.52	0.1060	1.0550	1.7756
♂	0.8333333	5.54	6.08	7.03	7.97	8.51	0.1062	1.0395	1.7718
♂	0.9166667	5.53	6.07	7.02	7.96	8.50	0.1064	1.0239	1.7680
♂	1.0000000	5.52	6.06	7.01	7.95	8.49	0.1066	1.0082	1.7642
♂	2.0000000	5.42	5.95	6.87	7.82	8.39	0.1081	0.8141	1.7202
♂	5.0000000	5.36	5.83	6.67	7.61	8.24	0.1066	0.1749	1.6092
♂	6.0000000	5.37	5.82	6.65	7.59	8.23	0.1060	-0.0058	1.5958
♂	7.0000000	5.36	5.80	6.61	7.55	8.20	0.1053	-0.1371	1.5956
♂	8.0000000	5.34	5.77	6.56	7.48	8.13	0.1042	-0.2176	1.6035
♂	17.0000000	4.96	5.44	6.26	7.11	7.66	0.1070	0.6056	1.5896
♂	18.0000000	4.81	5.28	6.06	6.87	7.38	0.1050	0.7791	1.5811
♀	0.1666667	5.44	5.93	6.86	7.81	8.30	0.1068	0.9273	2.0324
♀	0.2500000	5.43	5.92	6.86	7.81	8.31	0.1073	0.9160	2.0144
♀	0.3333333	5.42	5.92	6.86	7.81	8.32	0.1077	0.9046	1.9966
♀	0.4166667	5.42	5.91	6.85	7.81	8.33	0.1082	0.8932	1.9790
♀	0.5000000	5.41	5.91	6.85	7.81	8.33	0.1087	0.8817	1.9616
♀	0.5833333	5.40	5.90	6.85	7.81	8.34	0.1091	0.8701	1.9443
♀	0.6666667	5.39	5.90	6.85	7.81	8.35	0.1096	0.8584	1.9273
♀	0.7500000	5.39	5.89	6.85	7.82	8.35	0.1100	0.8467	1.9104
♀	0.8333333	5.38	5.89	6.84	7.82	8.36	0.1105	0.8348	1.8937
♀	0.9166667	5.37	5.89	6.84	7.82	8.37	0.1109	0.8229	1.8772
♀	1.0000000	5.36	5.88	6.84	7.82	8.37	0.1114	0.8108	1.8609
♀	2.0000000	5.28	5.83	6.80	7.82	8.45	0.1163	0.6547	1.6813
♀	5.0000000	5.22	5.78	6.70	7.74	8.54	0.1198	0.1095	1.3713
♀	6.0000000	5.26	5.80	6.68	7.69	8.49	0.1162	-0.0472	1.3427
♀	7.0000000	5.33	5.83	6.67	7.64	8.42	0.1111	-0.1648	1.3516
♀	8.0000000	5.39	5.87	6.67	7.61	8.33	0.1060	-0.2353	1.3991
♀	17.0000000	3.85	4.42	5.40	6.39	6.98	0.1450	0.9255	1.6786
♀	18.0000000	3.63	4.23	5.27	6.30	6.92	0.1560	0.9778	1.6993

linden_heart.ref

Citations

• Linden, K. et al. (2019) ‘Left Atrial Volumes and Phasic Function in Healthy Children: Reference Values Using Real-Time Three-Dimensional Echocardiography’, Journal of the American Society of Echocardiography, 32(8), pp. 1036-1045.e9. doi:10.1016/j.echo.2019.03.018.

VMAX

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.20	1.36	1.68	2.41	3.29	3.82	0.26	0.43
♂	0.25	2.23	2.76	3.96	5.41	6.28	0.26	0.43
♂	0.30	3.10	3.85	5.51	7.52	8.74	0.26	0.43
♂	0.35	4.07	4.99	7.05	9.52	11.00	0.25	0.43
♂	0.40	4.96	6.09	8.60	11.61	13.42	0.25	0.43
♂	0.45	5.85	7.18	10.14	13.69	15.82	0.25	0.43
♂	0.50	6.75	8.29	11.69	15.79	18.25	0.25	0.42
♂	0.55	7.65	9.39	13.24	17.88	20.67	0.25	0.42
♂	0.60	8.54	10.48	14.78	19.96	23.08	0.25	0.42
♂	0.65	9.43	11.58	16.33	22.06	25.50	0.25	0.42
♂	0.70	10.33	12.67	17.88	24.15	27.92	0.25	0.42
♂	0.75	11.50	13.97	19.42	25.93	29.83	0.24	0.42
♂	0.80	12.42	15.09	20.97	28.00	32.21	0.24	0.42
♂	0.85	13.33	16.19	22.51	30.06	34.58	0.24	0.42
♂	0.90	14.25	17.31	24.06	32.13	36.96	0.24	0.42
♂	0.95	15.16	18.42	25.61	34.20	39.34	0.24	0.42
♂	1.00	16.10	19.54	27.15	36.27	41.74	0.24	0.41
♂	2.00	37.08	43.71	58.08	75.02	85.08	0.21	0.39
♀	0.20	1.32	1.64	2.36	3.22	3.73	0.26	0.45
♀	0.25	1.81	2.25	3.22	4.39	5.10	0.26	0.44
♀	0.30	2.33	2.89	4.14	5.65	6.56	0.26	0.43
♀	0.35	2.91	3.61	5.17	7.06	8.20	0.26	0.43
♀	0.40	3.60	4.46	6.38	8.71	10.12	0.26	0.42
♀	0.45	4.50	5.52	7.78	10.51	12.16	0.25	0.41
♀	0.50	5.41	6.63	9.35	12.63	14.61	0.25	0.41
♀	0.55	6.40	7.84	11.04	14.92	17.27	0.25	0.40
♀	0.60	7.40	9.06	12.77	17.26	19.98	0.25	0.40
♀	0.65	8.41	10.29	14.49	19.60	22.69	0.25	0.39
♀	0.70	9.62	11.65	16.16	21.62	24.91	0.24	0.38
♀	0.75	10.58	12.81	17.76	23.76	27.38	0.24	0.38
♀	0.80	11.50	13.91	19.28	25.80	29.75	0.24	0.37
♀	0.85	12.36	14.95	20.72	27.73	31.97	0.24	0.37
♀	0.90	13.20	15.95	22.10	29.59	34.13	0.24	0.36
♀	0.95	14.33	17.16	23.43	31.01	35.58	0.23	0.36
♀	1.00	15.14	18.11	24.72	32.72	37.57	0.23	0.35
♀	2.00	37.02	42.94	55.98	71.75	81.31	0.20	0.26

VMIN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.20	0.45	0.57	0.84	1.15	1.34	0.27	0.55
♂	0.25	0.75	0.95	1.39	1.91	2.22	0.27	0.53
♂	0.30	1.04	1.32	1.94	2.67	3.10	0.27	0.52
♂	0.35	1.35	1.70	2.49	3.43	3.98	0.27	0.50
♂	0.40	1.65	2.08	3.04	4.18	4.87	0.27	0.49
♂	0.45	1.96	2.47	3.60	4.96	5.77	0.27	0.47
♂	0.50	2.26	2.85	4.15	5.72	6.66	0.27	0.46
♂	0.55	2.57	3.23	4.70	6.49	7.56	0.27	0.44
♂	0.60	2.88	3.61	5.25	7.25	8.46	0.27	0.43
♂	0.65	3.19	3.99	5.80	8.02	9.36	0.27	0.41
♂	0.70	3.50	4.38	6.35	8.78	10.26	0.27	0.40
♂	0.75	3.82	4.76	6.90	9.55	11.18	0.27	0.38
♂	0.80	4.13	5.14	7.45	10.32	12.08	0.27	0.37
♂	0.85	4.46	5.53	8.00	11.09	13.00	0.27	0.35
♂	0.90	4.77	5.92	8.55	11.86	13.91	0.27	0.34
♂	0.95	5.10	6.31	9.10	12.63	14.84	0.27	0.32
♂	1.00	5.42	6.70	9.65	13.41	15.77	0.27	0.30
♂	2.00	12.16	14.61	20.65	29.19	35.05	0.27	0.00
♀	0.20	0.44	0.61	0.94	1.28	1.47	0.28	0.92
♀	0.25	0.56	0.77	1.19	1.62	1.86	0.28	0.89
♀	0.30	0.70	0.96	1.47	2.01	2.30	0.28	0.86
♀	0.35	0.86	1.17	1.79	2.45	2.81	0.28	0.84
♀	0.40	1.05	1.43	2.18	2.99	3.43	0.28	0.81
♀	0.45	1.29	1.73	2.64	3.62	4.17	0.28	0.78
♀	0.50	1.56	2.09	3.17	4.36	5.02	0.28	0.75
♀	0.55	1.86	2.47	3.74	5.14	5.93	0.28	0.73
♀	0.60	2.18	2.88	4.35	5.99	6.92	0.28	0.70
♀	0.65	2.50	3.29	4.96	6.84	7.91	0.28	0.67
♀	0.70	2.82	3.70	5.56	7.68	8.89	0.28	0.65
♀	0.75	3.14	4.10	6.15	8.50	9.86	0.28	0.62
♀	0.80	3.46	4.48	6.71	9.29	10.79	0.28	0.59
♀	0.85	3.75	4.85	7.25	10.05	11.69	0.28	0.57
♀	0.90	4.05	5.21	7.77	10.79	12.57	0.28	0.54
♀	0.95	4.34	5.56	8.26	11.48	13.40	0.28	0.51
♀	1.00	4.61	5.89	8.74	12.16	14.21	0.28	0.49
♀	2.00	11.36	13.63	19.26	27.24	32.74	0.27	-0.01

EV

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.20	0.88	1.09	1.59	2.24	2.65	0.28	0.27
♂	0.25	1.45	1.78	2.57	3.57	4.20	0.27	0.29
♂	0.30	2.00	2.47	3.56	4.95	5.82	0.27	0.30
♂	0.35	2.55	3.16	4.55	6.32	7.43	0.27	0.31
♂	0.40	3.17	3.89	5.53	7.59	8.87	0.26	0.32
♂	0.45	3.73	4.58	6.52	8.94	10.43	0.26	0.34
♂	0.50	4.28	5.26	7.50	10.28	11.99	0.26	0.35
♂	0.55	4.84	5.95	8.49	11.63	13.56	0.26	0.36
♂	0.60	5.52	6.74	9.48	12.83	14.87	0.25	0.37
♂	0.65	6.07	7.43	10.46	14.15	16.38	0.25	0.39
♂	0.70	6.64	8.13	11.45	15.48	17.91	0.25	0.40
♂	0.75	7.20	8.82	12.44	16.81	19.44	0.25	0.41
♂	0.80	7.75	9.51	13.42	18.13	20.95	0.25	0.42
♂	0.85	8.30	10.20	14.41	19.45	22.46	0.25	0.44
♂	0.90	8.85	10.90	15.40	20.77	23.98	0.25	0.45
♂	0.95	9.40	11.58	16.38	22.09	25.48	0.25	0.46
♂	1.00	9.95	12.27	17.37	23.41	27.00	0.25	0.47
♂	2.00	26.00	29.72	37.10	44.92	49.22	0.16	0.72
♀	0.20	0.80	0.97	1.40	2.03	2.48	0.29	-0.03
♀	0.25	1.16	1.40	2.00	2.87	3.47	0.28	-0.01
♀	0.30	1.52	1.84	2.63	3.76	4.55	0.28	0.01
♀	0.35	1.92	2.33	3.34	4.78	5.76	0.28	0.02
♀	0.40	2.43	2.93	4.15	5.85	7.01	0.27	0.04
♀	0.45	2.97	3.59	5.09	7.17	8.57	0.27	0.06
♀	0.50	3.64	4.37	6.13	8.52	10.10	0.26	0.08
♀	0.55	4.29	5.15	7.23	10.03	11.88	0.26	0.10
♀	0.60	4.94	5.95	8.36	11.59	13.71	0.26	0.12
♀	0.65	5.71	6.83	9.48	12.97	15.23	0.25	0.14
♀	0.70	6.33	7.59	10.55	14.42	16.91	0.25	0.16
♀	0.75	6.93	8.32	11.56	15.79	18.51	0.25	0.17
♀	0.80	7.65	9.12	12.52	16.88	19.65	0.24	0.19
♀	0.85	8.18	9.77	13.43	18.09	21.03	0.24	0.21
♀	0.90	8.88	10.53	14.29	19.01	21.94	0.23	0.23
♀	0.95	9.37	11.13	15.12	20.09	23.18	0.23	0.25
♀	1.00	9.86	11.72	15.94	21.17	24.39	0.23	0.27
♀	2.00	25.20	28.99	36.66	44.95	49.59	0.17	0.64

VPREA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.20	0.69	0.89	1.37	2.02	2.45	0.32	0.26
♂	0.25	1.05	1.35	2.08	3.07	3.72	0.32	0.25
♂	0.30	1.41	1.81	2.79	4.12	5.00	0.32	0.25
♂	0.35	1.77	2.27	3.50	5.18	6.28	0.32	0.24
♂	0.40	2.18	2.77	4.21	6.15	7.42	0.31	0.24
♂	0.45	2.55	3.24	4.91	7.18	8.67	0.31	0.23
♂	0.50	2.92	3.71	5.62	8.22	9.92	0.31	0.23
♂	0.55	3.30	4.18	6.33	9.26	11.20	0.31	0.22
♂	0.60	3.68	4.66	7.05	10.33	12.49	0.31	0.21
♂	0.65	4.15	5.21	7.78	11.26	13.54	0.30	0.21
♂	0.70	4.55	5.70	8.51	12.33	14.84	0.30	0.20
♂	0.75	4.95	6.21	9.26	13.41	16.15	0.30	0.20
♂	0.80	5.37	6.72	10.02	14.52	17.50	0.30	0.19
♂	0.85	5.91	7.33	10.78	15.44	18.49	0.29	0.19
♂	0.90	6.34	7.86	11.55	16.55	19.84	0.29	0.18
♂	0.95	6.77	8.40	12.34	17.68	21.20	0.29	0.18
♂	1.00	7.22	8.94	13.13	18.83	22.59	0.29	0.17
♂	2.00	18.70	22.27	30.79	42.27	49.85	0.25	0.07
♀	0.20	0.72	0.86	1.22	1.73	2.08	0.27	-0.02
♀	0.25	1.09	1.31	1.85	2.61	3.14	0.27	0.00
♀	0.30	1.46	1.75	2.48	3.50	4.20	0.27	0.02
♀	0.35	1.82	2.20	3.11	4.39	5.25	0.27	0.04
♀	0.40	2.19	2.64	3.75	5.28	6.31	0.27	0.06
♀	0.45	2.56	3.09	4.39	6.18	7.37	0.27	0.08
♀	0.50	2.93	3.54	5.04	7.08	8.44	0.27	0.10
♀	0.55	3.29	4.00	5.69	7.99	9.50	0.27	0.12
♀	0.60	3.67	4.46	6.36	8.92	10.60	0.27	0.14
♀	0.65	4.04	4.92	7.03	9.85	11.68	0.27	0.16
♀	0.70	4.43	5.40	7.72	10.80	12.80	0.27	0.18
♀	0.75	4.81	5.88	8.41	11.75	13.91	0.27	0.20
♀	0.80	5.08	6.27	9.11	12.87	15.29	0.28	0.22
♀	0.85	5.45	6.75	9.82	13.85	16.44	0.28	0.24
♀	0.90	5.83	7.23	10.54	14.85	17.60	0.28	0.26
♀	0.95	6.21	7.72	11.27	15.86	18.78	0.28	0.28
♀	1.00	6.59	8.22	12.01	16.89	19.96	0.28	0.30
♀	2.00	13.23	17.80	27.40	38.11	44.17	0.29	0.71

lipids.ref

Citations

• Dathan-Stumpf, A. et al. Pediatric reference data of serum lipids and prevalence of dyslipidemia: Results from a population-based cohort in Germany. Clinical Biochemistry 49, 740-749 (2016).
• Dathan-Stumpf, A. et al. Serum lipid levels were related to socio-demographic characteristics in a German population-based child cohort. Acta Paediatr 105, e360-e367 (2016).

HDL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	0.58	0.74	1.10	1.54	1.84	0.2859	0.3461	1.8483
♂	0.2500000	0.59	0.75	1.10	1.55	1.84	0.2843	0.3480	1.8508
♂	0.3333334	0.59	0.75	1.10	1.55	1.84	0.2827	0.3499	1.8534
♂	0.4166667	0.60	0.76	1.11	1.55	1.84	0.2811	0.3517	1.8559
♂	0.5000000	0.60	0.76	1.11	1.56	1.85	0.2795	0.3536	1.8585
♂	0.5833334	0.61	0.77	1.12	1.56	1.85	0.2780	0.3553	1.8611
♂	0.6666667	0.61	0.77	1.12	1.56	1.85	0.2764	0.3570	1.8637
♂	0.7500000	0.62	0.78	1.13	1.57	1.85	0.2749	0.3586	1.8663
♂	0.8333334	0.62	0.78	1.13	1.57	1.86	0.2733	0.3602	1.8689
♂	0.9166667	0.63	0.79	1.14	1.58	1.86	0.2718	0.3617	1.8716
♀	0.1666667	0.61	0.78	1.18	1.67	1.98	0.2943	0.4078	1.9791
♀	0.2500000	0.61	0.79	1.18	1.67	1.97	0.2919	0.4125	1.9765
♀	0.3333334	0.61	0.79	1.18	1.66	1.96	0.2895	0.4172	1.9742
♀	0.4166667	0.62	0.79	1.17	1.65	1.95	0.2871	0.4219	1.9720
♀	0.5000000	0.62	0.79	1.17	1.65	1.94	0.2848	0.4265	1.9700
♀	0.5833334	0.62	0.79	1.17	1.64	1.93	0.2825	0.4310	1.9682
♀	0.6666667	0.62	0.79	1.17	1.64	1.92	0.2802	0.4355	1.9666
♀	0.7500000	0.63	0.80	1.17	1.63	1.91	0.2780	0.4400	1.9651
♀	0.8333334	0.63	0.80	1.17	1.63	1.90	0.2758	0.4444	1.9637
♀	0.9166667	0.63	0.80	1.17	1.62	1.90	0.2736	0.4487	1.9626

LDL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	1.00	1.40	2.12	2.91	3.42	0.2855	0.7527	1.6016
♂	0.2500000	1.00	1.40	2.12	2.91	3.42	0.2844	0.7487	1.5999
♂	0.3333334	1.01	1.41	2.13	2.91	3.43	0.2834	0.7447	1.5983
♂	0.4166667	1.02	1.42	2.13	2.92	3.43	0.2823	0.7407	1.5968
♂	0.5000000	1.02	1.42	2.14	2.92	3.43	0.2813	0.7366	1.5953
♂	0.5833334	1.03	1.43	2.14	2.92	3.44	0.2803	0.7326	1.5938
♂	0.6666667	1.04	1.43	2.15	2.93	3.44	0.2793	0.7286	1.5924
♂	0.7500000	1.05	1.44	2.15	2.93	3.44	0.2783	0.7245	1.5910
♂	0.8333334	1.05	1.45	2.15	2.93	3.45	0.2774	0.7205	1.5897
♂	0.9166667	1.06	1.45	2.16	2.94	3.45	0.2764	0.7165	1.5884
♀	0.1666667	1.22	1.57	2.35	3.33	3.95	0.2926	0.3790	1.9101
♀	0.2500000	1.23	1.57	2.35	3.33	3.96	0.2919	0.3796	1.9100
♀	0.3333334	1.23	1.58	2.36	3.34	3.96	0.2911	0.3802	1.9099
♀	0.4166667	1.24	1.58	2.36	3.34	3.97	0.2904	0.3808	1.9098
♀	0.5000000	1.24	1.59	2.37	3.35	3.97	0.2896	0.3814	1.9098
♀	0.5833334	1.25	1.60	2.37	3.35	3.97	0.2889	0.3821	1.9097
♀	0.6666667	1.25	1.60	2.38	3.36	3.98	0.2881	0.3827	1.9097
♀	0.7500000	1.26	1.61	2.38	3.36	3.98	0.2873	0.3833	1.9097
♀	0.8333334	1.26	1.61	2.39	3.36	3.98	0.2866	0.3839	1.9097
♀	0.9166667	1.27	1.62	2.39	3.37	3.99	0.2858	0.3845	1.9097

TRIG

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	0.66	0.89	1.69	3.61	5.54	0.5377	-0.2236	2.2063
♂	0.2500000	0.65	0.86	1.64	3.49	5.36	0.5362	-0.2250	2.1961
♂	0.3333334	0.63	0.84	1.59	3.38	5.19	0.5347	-0.2264	2.1861
♂	0.4166667	0.61	0.81	1.54	3.27	5.02	0.5331	-0.2278	2.1762
♂	0.5000000	0.59	0.79	1.50	3.16	4.86	0.5316	-0.2292	2.1664
♂	0.5833334	0.58	0.77	1.45	3.06	4.70	0.5300	-0.2306	2.1568
♂	0.6666667	0.56	0.75	1.41	2.96	4.55	0.5284	-0.2319	2.1472
♂	0.7500000	0.55	0.73	1.37	2.87	4.41	0.5268	-0.2333	2.1378
♂	0.8333334	0.53	0.71	1.33	2.78	4.27	0.5252	-0.2347	2.1285
♂	0.9166667	0.52	0.69	1.29	2.69	4.14	0.5236	-0.2361	2.1193
♀	0.1666667	0.73	0.98	1.76	3.53	5.60	0.5023	-0.2667	1.8051
♀	0.2500000	0.71	0.95	1.71	3.44	5.46	0.5010	-0.2686	1.8068
♀	0.3333334	0.69	0.93	1.67	3.35	5.31	0.4997	-0.2704	1.8086
♀	0.4166667	0.68	0.91	1.63	3.27	5.17	0.4984	-0.2723	1.8103
♀	0.5000000	0.67	0.89	1.59	3.19	5.04	0.4971	-0.2741	1.8121
♀	0.5833334	0.65	0.87	1.56	3.10	4.90	0.4958	-0.2760	1.8138
♀	0.6666667	0.64	0.85	1.52	3.02	4.77	0.4945	-0.2778	1.8156
♀	0.7500000	0.62	0.83	1.48	2.95	4.65	0.4932	-0.2796	1.8174
♀	0.8333334	0.61	0.81	1.45	2.87	4.52	0.4919	-0.2815	1.8192
♀	0.9166667	0.60	0.79	1.41	2.80	4.40	0.4906	-0.2833	1.8210

CHOL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	2.35	2.86	3.74	4.67	5.24	0.1929	0.8126	1.6640
♂	0.2500000	2.36	2.87	3.75	4.67	5.24	0.1918	0.8062	1.6631
♂	0.3333334	2.38	2.88	3.75	4.67	5.24	0.1907	0.7997	1.6623
♂	0.4166667	2.39	2.89	3.76	4.67	5.24	0.1896	0.7932	1.6616
♂	0.5000000	2.40	2.89	3.76	4.67	5.24	0.1885	0.7867	1.6609
♂	0.5833334	2.41	2.90	3.77	4.67	5.24	0.1874	0.7803	1.6603
♂	0.6666667	2.42	2.91	3.77	4.68	5.24	0.1864	0.7738	1.6598
♂	0.7500000	2.44	2.92	3.78	4.68	5.24	0.1853	0.7673	1.6593
♂	0.8333334	2.45	2.93	3.78	4.68	5.24	0.1843	0.7608	1.6589
♂	0.9166667	2.46	2.94	3.79	4.68	5.24	0.1832	0.7543	1.6585
♀	0.1666667	2.77	3.17	4.12	5.20	5.78	0.1896	0.4373	2.2925
♀	0.2500000	2.77	3.18	4.12	5.20	5.78	0.1891	0.4371	2.2755
♀	0.3333334	2.77	3.18	4.12	5.20	5.78	0.1885	0.4369	2.2589
♀	0.4166667	2.78	3.19	4.12	5.20	5.78	0.1880	0.4366	2.2429
♀	0.5000000	2.78	3.19	4.13	5.20	5.78	0.1874	0.4364	2.2273
♀	0.5833334	2.79	3.20	4.13	5.20	5.78	0.1869	0.4361	2.2121
♀	0.6666667	2.79	3.20	4.13	5.19	5.78	0.1863	0.4359	2.1974
♀	0.7500000	2.79	3.21	4.13	5.19	5.78	0.1858	0.4357	2.1832
♀	0.8333334	2.80	3.21	4.14	5.19	5.77	0.1852	0.4354	2.1693
♀	0.9166667	2.80	3.22	4.14	5.19	5.77	0.1847	0.4352	2.1559

APOA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	0.98	1.12	1.36	1.63	1.81	0.1511	0.5498	1.6079
♂	0.2500000	0.97	1.11	1.35	1.61	1.79	0.1509	0.5546	1.6119
♂	0.3333334	0.96	1.09	1.33	1.60	1.77	0.1508	0.5594	1.6160
♂	0.4166667	0.95	1.08	1.32	1.58	1.75	0.1506	0.5641	1.6201
♂	0.5000000	0.94	1.07	1.31	1.57	1.73	0.1505	0.5688	1.6242
♂	0.5833334	0.93	1.06	1.30	1.55	1.71	0.1503	0.5733	1.6283
♂	0.6666667	0.92	1.05	1.29	1.54	1.70	0.1502	0.5777	1.6324
♂	0.7500000	0.91	1.04	1.27	1.52	1.68	0.1500	0.5820	1.6366
♂	0.8333334	0.91	1.04	1.27	1.51	1.67	0.1499	0.5862	1.6408
♂	0.9166667	0.90	1.03	1.26	1.50	1.66	0.1497	0.5902	1.6450
♀	0.1666667	0.95	1.14	1.40	1.67	1.87	0.1582	0.9121	1.2955
♀	0.2500000	0.94	1.13	1.39	1.66	1.85	0.1577	0.9053	1.3009
♀	0.3333334	0.94	1.12	1.38	1.64	1.83	0.1571	0.8985	1.3063
♀	0.4166667	0.93	1.11	1.36	1.62	1.81	0.1566	0.8917	1.3118
♀	0.5000000	0.92	1.10	1.35	1.61	1.79	0.1560	0.8849	1.3173
♀	0.5833334	0.92	1.09	1.34	1.59	1.78	0.1555	0.8781	1.3229
♀	0.6666667	0.91	1.08	1.33	1.58	1.76	0.1550	0.8713	1.3284
♀	0.7500000	0.91	1.07	1.32	1.57	1.75	0.1544	0.8645	1.3340
♀	0.8333334	0.90	1.07	1.31	1.56	1.73	0.1539	0.8577	1.3396
♀	0.9166667	0.90	1.06	1.30	1.54	1.72	0.1534	0.8509	1.3453

APOB

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	0.39	0.53	0.76	1.01	1.16	0.2542	0.8887	1.6387
♂	0.2500000	0.39	0.53	0.76	1.01	1.16	0.2528	0.8846	1.6355
♂	0.3333334	0.39	0.53	0.76	1.01	1.16	0.2515	0.8805	1.6322
♂	0.4166667	0.39	0.53	0.76	1.01	1.16	0.2501	0.8765	1.6291
♂	0.5000000	0.39	0.53	0.76	1.00	1.16	0.2488	0.8724	1.6260
♂	0.5833334	0.40	0.53	0.76	1.00	1.15	0.2475	0.8684	1.6230
♂	0.6666667	0.40	0.53	0.76	1.00	1.15	0.2462	0.8643	1.6201
♂	0.7500000	0.40	0.53	0.76	1.00	1.15	0.2449	0.8602	1.6173
♂	0.8333334	0.40	0.53	0.76	1.00	1.15	0.2437	0.8562	1.6146
♂	0.9166667	0.40	0.54	0.76	1.00	1.14	0.2424	0.8521	1.6119
♀	0.1666667	0.48	0.59	0.83	1.12	1.32	0.2527	0.3371	1.7452
♀	0.2500000	0.48	0.59	0.83	1.12	1.32	0.2515	0.3381	1.7460
♀	0.3333334	0.48	0.59	0.83	1.12	1.31	0.2503	0.3390	1.7469
♀	0.4166667	0.48	0.59	0.83	1.12	1.31	0.2492	0.3400	1.7477
♀	0.5000000	0.48	0.59	0.83	1.11	1.31	0.2480	0.3410	1.7486
♀	0.5833334	0.48	0.59	0.83	1.11	1.30	0.2469	0.3420	1.7495
♀	0.6666667	0.48	0.59	0.83	1.11	1.30	0.2458	0.3430	1.7503
♀	0.7500000	0.48	0.60	0.83	1.11	1.30	0.2446	0.3439	1.7512
♀	0.8333334	0.49	0.60	0.83	1.11	1.29	0.2435	0.3449	1.7520
♀	0.9166667	0.49	0.60	0.83	1.10	1.29	0.2424	0.3459	1.7529

NONHDL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	1.44	1.79	2.57	3.52	4.08	0.2613	0.4457	2.0726
♂	0.2500000	1.44	1.79	2.57	3.52	4.08	0.2611	0.4460	2.0575
♂	0.3333333	1.44	1.79	2.57	3.52	4.07	0.2610	0.4463	2.0426
♂	0.4166667	1.44	1.79	2.57	3.51	4.07	0.2608	0.4466	2.0278
♂	0.5000000	1.44	1.79	2.57	3.51	4.07	0.2607	0.4468	2.0132
♂	0.5833333	1.44	1.79	2.57	3.51	4.07	0.2605	0.4471	1.9986
♂	0.6666667	1.44	1.79	2.57	3.51	4.07	0.2603	0.4474	1.9842
♂	0.7500000	1.44	1.79	2.57	3.50	4.07	0.2602	0.4477	1.9699
♂	0.8333333	1.44	1.79	2.57	3.50	4.07	0.2600	0.4480	1.9558
♂	0.9166667	1.44	1.79	2.57	3.50	4.07	0.2598	0.4483	1.9418
♂	1.0000000	1.43	1.79	2.56	3.49	4.06	0.2596	0.4487	1.9279
♂	2.0000000	1.42	1.79	2.54	3.45	4.03	0.2572	0.4526	1.7746
♂	5.0000000	1.40	1.78	2.50	3.35	3.96	0.2517	0.4428	1.5415
♂	6.0000000	1.40	1.78	2.50	3.35	3.96	0.2522	0.4353	1.5431
♂	7.0000000	1.39	1.77	2.50	3.36	3.97	0.2546	0.4293	1.5676
♂	8.0000000	1.39	1.77	2.51	3.40	4.02	0.2586	0.4198	1.6100
♂	17.0000000	1.35	1.62	2.31	3.31	4.01	0.2780	-0.0456	2.0048
♂	18.0000000	1.34	1.60	2.28	3.30	4.01	0.2805	-0.1039	2.0753
♀	0.1666667	1.66	2.00	2.81	3.95	4.78	0.2668	-0.0331	1.8831
♀	0.2500000	1.66	2.00	2.81	3.95	4.77	0.2665	-0.0219	1.8781
♀	0.3333333	1.66	2.00	2.81	3.95	4.76	0.2662	-0.0106	1.8731
♀	0.4166667	1.66	2.01	2.81	3.95	4.76	0.2660	0.0007	1.8682
♀	0.5000000	1.66	2.01	2.82	3.95	4.75	0.2657	0.0119	1.8633
♀	0.5833333	1.66	2.01	2.82	3.94	4.75	0.2654	0.0231	1.8584
♀	0.6666667	1.66	2.01	2.82	3.94	4.74	0.2651	0.0344	1.8537
♀	0.7500000	1.66	2.01	2.82	3.94	4.74	0.2649	0.0456	1.8490
♀	0.8333333	1.66	2.01	2.82	3.94	4.73	0.2646	0.0568	1.8444
♀	0.9166667	1.66	2.01	2.82	3.94	4.73	0.2643	0.0679	1.8398
♀	1.0000000	1.66	2.01	2.83	3.93	4.72	0.2640	0.0791	1.8353
♀	2.0000000	1.63	2.01	2.83	3.89	4.62	0.2605	0.2088	1.7893
♀	5.0000000	1.54	1.92	2.69	3.61	4.20	0.2482	0.4485	1.8007
♀	6.0000000	1.54	1.90	2.66	3.55	4.11	0.2446	0.4578	1.8611
♀	7.0000000	1.55	1.90	2.65	3.54	4.08	0.2417	0.4433	1.9318
♀	8.0000000	1.58	1.92	2.66	3.56	4.09	0.2400	0.4198	1.9958
♀	17.0000000	1.36	1.76	2.62	3.72	4.46	0.2935	0.3626	1.7656
♀	18.0000000	1.37	1.79	2.69	3.83	4.62	0.2989	0.3677	1.6984

metabolom.ref

Citations

• Hirschel, J., Vogel, M., Baber, R., Garten, A., Beuchel, C., Dietz, Y., Dittrich, J., Körner, A., Kiess, W., & Ceglarek, U. (2020). Relation of Whole Blood Amino Acid and Acylcarnitine Metabolome to Age, Sex, BMI, Puberty, and Metabolic Markers in Children and Adolescents. Metabolites, 10(4), 149. https://doi.org/10.3390/metabo10040149

ABA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	5.01	7.06	13.12	23.61	31.86	0.4708	0.0877
♂	0.2500000	5.05	7.12	13.21	23.67	31.82	0.4682	0.0965
♂	0.3333333	5.09	7.18	13.30	23.72	31.79	0.4657	0.1053
♂	0.4166667	5.14	7.24	13.39	23.78	31.76	0.4631	0.1141
♂	0.5000000	5.18	7.31	13.48	23.84	31.74	0.4606	0.1228
♂	0.5833333	5.22	7.37	13.58	23.90	31.73	0.4581	0.1314
♂	0.6666667	5.27	7.43	13.67	23.96	31.71	0.4557	0.1400
♂	0.7500000	5.31	7.50	13.76	24.03	31.71	0.4532	0.1486
♂	0.8333333	5.35	7.56	13.86	24.09	31.70	0.4508	0.1570
♂	0.9166667	5.40	7.63	13.95	24.16	31.70	0.4485	0.1654
♂	1.0000000	5.44	7.69	14.05	24.23	31.71	0.4461	0.1738
♂	2.0000000	6.00	8.50	15.20	25.15	32.04	0.4205	0.2642
♂	5.0000000	7.73	10.73	18.18	28.24	34.72	0.3734	0.3740
♂	6.0000000	8.12	11.20	18.84	29.17	35.85	0.3699	0.3644
♂	7.0000000	8.41	11.55	19.41	30.16	37.16	0.3711	0.3417
♂	8.0000000	8.66	11.85	19.94	31.20	38.65	0.3750	0.3115
♂	17.0000000	9.01	12.77	21.22	31.26	37.17	0.3408	0.6077
♂	18.0000000	9.18	13.21	21.93	31.92	37.65	0.3340	0.6899
♀	0.1666667	4.89	7.58	14.51	23.99	30.09	0.4396	0.4458
♀	0.2500000	4.98	7.67	14.61	24.10	30.22	0.4373	0.4408
♀	0.3333333	5.07	7.77	14.71	24.22	30.36	0.4349	0.4358
♀	0.4166667	5.16	7.86	14.80	24.34	30.49	0.4325	0.4308
♀	0.5000000	5.24	7.95	14.90	24.45	30.63	0.4302	0.4258
♀	0.5833333	5.33	8.04	15.00	24.57	30.77	0.4278	0.4209
♀	0.6666667	5.42	8.14	15.10	24.69	30.90	0.4255	0.4160
♀	0.7500000	5.51	8.23	15.20	24.80	31.03	0.4232	0.4111
♀	0.8333333	5.60	8.32	15.30	24.92	31.17	0.4209	0.4062
♀	0.9166667	5.69	8.42	15.40	25.04	31.30	0.4186	0.4013
♀	1.0000000	5.79	8.51	15.50	25.15	31.43	0.4163	0.3965
♀	2.0000000	6.87	9.64	16.67	26.43	32.85	0.3898	0.3437
♀	5.0000000	8.71	11.55	18.68	28.64	35.26	0.3527	0.2632
♀	6.0000000	8.79	11.67	18.97	29.23	36.09	0.3566	0.2533
♀	7.0000000	8.82	11.77	19.32	30.02	37.24	0.3636	0.2474
♀	8.0000000	8.89	11.95	19.83	31.09	38.72	0.3713	0.2463
♀	17.0000000	7.16	10.12	18.30	30.97	40.04	0.4342	0.2101
♀	18.0000000	6.92	9.78	17.94	31.18	41.01	0.4510	0.1596

ALA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	123.96	151.20	220.95	324.63	398.86	0.2981	-0.0371
♂	0.2500000	122.85	149.89	219.17	322.26	396.14	0.2986	-0.0382
♂	0.3333333	121.75	148.59	217.40	319.91	393.45	0.2992	-0.0393
♂	0.4166667	120.67	147.31	215.65	317.59	390.79	0.2997	-0.0403
♂	0.5000000	119.61	146.04	213.93	315.31	388.17	0.3003	-0.0413
♂	0.5833333	118.55	144.79	212.23	313.05	385.58	0.3008	-0.0424
♂	0.6666667	117.52	143.57	210.56	310.83	383.02	0.3013	-0.0434
♂	0.7500000	116.50	142.36	208.91	308.63	380.51	0.3019	-0.0444
♂	0.8333333	115.50	141.17	207.30	306.48	378.03	0.3024	-0.0454
♂	0.9166667	114.52	140.01	205.71	304.36	375.59	0.3029	-0.0464
♂	1.0000000	113.56	138.86	204.14	302.28	373.20	0.3034	-0.0474
♂	2.0000000	103.77	127.18	188.05	280.61	348.16	0.3087	-0.0583
♂	5.0000000	95.47	116.98	172.73	257.05	318.31	0.3071	-0.0507
♂	6.0000000	97.36	119.51	176.14	259.86	319.39	0.3031	-0.0065
♂	7.0000000	101.09	124.35	182.67	266.11	323.70	0.2968	0.0576
♂	8.0000000	106.69	131.33	191.66	274.85	330.47	0.2879	0.1283
♂	17.0000000	149.52	178.00	247.19	342.77	407.29	0.2556	0.0134
♂	18.0000000	149.83	178.42	249.14	349.78	419.54	0.2626	-0.0477
♀	0.1666667	147.90	171.91	234.07	331.27	405.88	0.2547	-0.3606
♀	0.2500000	146.13	170.06	232.05	329.03	403.45	0.2563	-0.3532
♀	0.3333333	144.38	168.23	230.06	326.82	401.04	0.2580	-0.3458
♀	0.4166667	142.65	166.43	228.10	324.63	398.65	0.2596	-0.3384
♀	0.5000000	140.94	164.64	226.16	322.46	396.29	0.2612	-0.3310
♀	0.5833333	139.25	162.88	224.24	320.33	393.95	0.2628	-0.3236
♀	0.6666667	137.59	161.15	222.35	318.21	391.64	0.2644	-0.3163
♀	0.7500000	135.96	159.44	220.49	316.13	389.35	0.2661	-0.3089
♀	0.8333333	134.34	157.75	218.65	314.07	387.09	0.2677	-0.3016
♀	0.9166667	132.76	156.10	216.85	312.05	384.86	0.2693	-0.2944
♀	1.0000000	131.20	154.47	215.07	310.05	382.65	0.2709	-0.2871
♀	2.0000000	114.91	137.44	196.45	288.81	358.79	0.2892	-0.2042
♀	5.0000000	98.15	120.78	178.66	264.10	324.72	0.3052	0.0043
♀	6.0000000	101.25	124.90	183.95	267.72	325.08	0.2974	0.0815
♀	7.0000000	106.73	131.71	192.25	274.40	328.55	0.2860	0.1669
♀	8.0000000	113.69	140.07	202.14	282.86	334.29	0.2735	0.2498
♀	17.0000000	140.21	166.75	232.83	327.94	394.58	0.2638	-0.0761
♀	18.0000000	139.46	165.43	231.51	330.33	402.18	0.2695	-0.1623

ARG

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	13.14	18.47	32.15	51.33	64.03	0.3950	0.3318
♂	0.2500000	12.97	18.25	31.78	50.77	63.34	0.3955	0.3324
♂	0.3333333	12.80	18.02	31.42	50.21	62.65	0.3959	0.3330
♂	0.4166667	12.64	17.81	31.06	49.66	61.97	0.3963	0.3337
♂	0.5000000	12.48	17.59	30.71	49.11	61.29	0.3967	0.3343
♂	0.5833333	12.32	17.38	30.36	48.57	60.62	0.3971	0.3349
♂	0.6666667	12.17	17.17	30.01	48.03	59.96	0.3975	0.3356
♂	0.7500000	12.01	16.96	29.67	47.49	59.29	0.3978	0.3362
♂	0.8333333	11.86	16.75	29.33	46.96	58.64	0.3981	0.3368
♂	0.9166667	11.71	16.55	28.99	46.44	57.98	0.3984	0.3375
♂	1.0000000	11.57	16.35	28.66	45.91	57.33	0.3987	0.3381
♂	2.0000000	10.06	14.24	24.97	39.97	49.87	0.3984	0.3438
♂	5.0000000	8.71	11.86	19.79	30.77	38.01	0.3692	0.3117
♂	6.0000000	8.92	12.04	19.93	30.90	38.18	0.3654	0.2918
♂	7.0000000	9.24	12.44	20.55	31.91	39.47	0.3653	0.2795
♂	8.0000000	9.58	12.91	21.35	33.15	41.00	0.3657	0.2841
♂	17.0000000	11.24	14.99	23.96	35.66	43.04	0.3351	0.3838
♂	18.0000000	10.66	14.28	23.08	34.73	42.16	0.3436	0.3639
♀	0.1666667	10.59	15.59	29.13	49.23	63.04	0.4441	0.3047
♀	0.2500000	10.53	15.45	28.81	48.67	62.33	0.4432	0.3006
♀	0.3333333	10.46	15.32	28.49	48.11	61.62	0.4422	0.2965
♀	0.4166667	10.40	15.19	28.18	47.55	60.92	0.4412	0.2924
♀	0.5000000	10.33	15.06	27.87	47.01	60.23	0.4403	0.2883
♀	0.5833333	10.27	14.92	27.56	46.47	59.54	0.4393	0.2843
♀	0.6666667	10.20	14.79	27.26	45.93	58.87	0.4383	0.2803
♀	0.7500000	10.14	14.67	26.96	45.41	58.20	0.4374	0.2763
♀	0.8333333	10.07	14.54	26.67	44.88	57.54	0.4364	0.2725
♀	0.9166667	10.01	14.41	26.38	44.37	56.88	0.4354	0.2686
♀	1.0000000	9.94	14.29	26.09	43.86	56.23	0.4345	0.2648
♀	2.0000000	9.21	12.92	23.00	38.30	49.07	0.4218	0.2264
♀	5.0000000	8.86	11.85	19.60	30.80	38.45	0.3712	0.2239
♀	6.0000000	9.25	12.35	20.25	31.45	38.98	0.3629	0.2507
♀	7.0000000	9.57	12.84	21.13	32.71	40.41	0.3627	0.2799
♀	8.0000000	9.63	13.08	21.77	33.83	41.79	0.3682	0.3049
♀	17.0000000	7.97	11.36	20.16	32.63	40.93	0.4074	0.3333
♀	18.0000000	7.46	10.62	18.89	30.74	38.71	0.4108	0.3156

CIT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	12.10	15.06	23.14	36.43	46.81	0.3443	-0.1229
♂	0.2500000	12.27	15.25	23.38	36.72	47.12	0.3426	-0.1224
♂	0.3333333	12.43	15.44	23.63	37.01	47.43	0.3409	-0.1219
♂	0.4166667	12.59	15.63	23.87	37.30	47.73	0.3392	-0.1213
♂	0.5000000	12.76	15.81	24.11	37.59	48.03	0.3375	-0.1206
♂	0.5833333	12.92	16.00	24.35	37.87	48.32	0.3358	-0.1199
♂	0.6666667	13.09	16.19	24.58	38.15	48.61	0.3341	-0.1190
♂	0.7500000	13.25	16.38	24.82	38.43	48.89	0.3324	-0.1181
♂	0.8333333	13.41	16.57	25.05	38.70	49.17	0.3308	-0.1170
♂	0.9166667	13.57	16.75	25.28	38.96	49.43	0.3291	-0.1157
♂	1.0000000	13.73	16.93	25.51	39.22	49.68	0.3274	-0.1144
♂	2.0000000	15.45	18.88	27.83	41.57	51.69	0.3077	-0.0846
♂	5.0000000	18.11	21.98	31.24	43.59	51.64	0.2668	0.1555
♂	6.0000000	18.50	22.64	32.24	44.48	52.17	0.2627	0.2771
♂	7.0000000	18.63	23.12	33.24	45.59	53.09	0.2632	0.4062
♂	8.0000000	18.47	23.35	34.00	46.50	53.85	0.2658	0.5329
♂	17.0000000	17.97	23.02	33.48	44.99	51.46	0.2565	0.7128
♂	18.0000000	18.26	23.30	33.84	45.60	52.27	0.2577	0.6706
♀	0.1666667	12.12	15.04	23.21	37.24	48.74	0.3528	-0.1926
♀	0.2500000	12.32	15.27	23.47	37.53	48.99	0.3500	-0.1922
♀	0.3333333	12.52	15.49	23.75	37.81	49.24	0.3472	-0.1917
♀	0.4166667	12.73	15.72	24.02	38.09	49.48	0.3445	-0.1912
♀	0.5000000	12.93	15.95	24.29	38.37	49.73	0.3418	-0.1906
♀	0.5833333	13.13	16.18	24.56	38.65	49.97	0.3391	-0.1900
♀	0.6666667	13.34	16.41	24.83	38.93	50.22	0.3364	-0.1893
♀	0.7500000	13.54	16.63	25.10	39.21	50.45	0.3338	-0.1886
♀	0.8333333	13.75	16.86	25.37	39.48	50.68	0.3312	-0.1877
♀	0.9166667	13.95	17.09	25.63	39.74	50.91	0.3286	-0.1868
♀	1.0000000	14.16	17.31	25.89	40.00	51.13	0.3261	-0.1858
♀	2.0000000	16.38	19.77	28.66	42.55	53.02	0.2987	-0.1630
♀	5.0000000	18.98	22.84	32.10	44.61	52.88	0.2612	0.0998
♀	6.0000000	19.06	23.21	32.87	45.31	53.19	0.2604	0.2416
♀	7.0000000	19.01	23.52	33.70	46.23	53.87	0.2622	0.3831
♀	8.0000000	18.85	23.70	34.37	46.98	54.44	0.2643	0.5061
♀	17.0000000	14.75	19.57	30.10	42.39	49.57	0.2964	0.5969
♀	18.0000000	13.88	18.69	29.34	41.91	49.30	0.3094	0.5843

GLU

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	157.61	186.73	250.80	327.61	373.78	0.2186	0.3530
♂	0.2500000	155.64	184.50	247.68	322.96	367.99	0.2177	0.3727
♂	0.3333333	153.71	182.30	244.62	318.40	362.32	0.2167	0.3923
♂	0.4166667	151.81	180.13	241.60	313.92	356.78	0.2158	0.4119
♂	0.5000000	149.93	178.00	238.63	309.54	351.37	0.2148	0.4315
♂	0.5833333	148.09	175.90	235.71	305.24	346.08	0.2139	0.4510
♂	0.6666667	146.27	173.84	232.84	301.04	340.91	0.2130	0.4704
♂	0.7500000	144.49	171.81	230.03	296.93	335.87	0.2122	0.4897
♂	0.8333333	142.74	169.82	227.27	292.90	330.95	0.2113	0.5089
♂	0.9166667	141.02	167.87	224.56	288.97	326.15	0.2105	0.5280
♂	1.0000000	139.33	165.95	221.91	285.14	321.48	0.2097	0.5470
♂	2.0000000	121.78	146.05	194.57	246.18	274.63	0.2011	0.7614
♂	5.0000000	101.71	122.86	162.51	201.87	222.61	0.1896	1.0300
♂	6.0000000	102.40	123.83	164.77	206.21	228.31	0.1951	0.9525
♂	7.0000000	104.13	126.64	170.99	217.37	242.63	0.2073	0.8332
♂	8.0000000	105.99	130.11	179.27	232.61	262.39	0.2235	0.7161
♂	17.0000000	140.29	167.17	216.60	264.68	289.69	0.1754	1.1223
♂	18.0000000	146.25	172.95	221.23	267.39	291.14	0.1662	1.2088
♀	0.1666667	161.22	191.70	256.44	330.53	373.53	0.2112	0.5027
♀	0.2500000	159.49	189.64	253.64	326.80	369.23	0.2110	0.5057
♀	0.3333333	157.78	187.61	250.87	323.12	364.99	0.2108	0.5088
♀	0.4166667	156.10	185.61	248.14	319.49	360.81	0.2105	0.5118
♀	0.5000000	154.44	183.64	245.45	315.91	356.69	0.2103	0.5148
♀	0.5833333	152.81	181.69	242.80	312.39	352.63	0.2101	0.5179
♀	0.6666667	151.20	179.78	240.19	308.92	348.64	0.2098	0.5209
♀	0.7500000	149.62	177.89	237.62	305.50	344.70	0.2096	0.5239
♀	0.8333333	148.07	176.04	235.09	302.14	340.83	0.2093	0.5269
♀	0.9166667	146.54	174.22	232.60	298.83	337.03	0.2091	0.5299
♀	1.0000000	145.05	172.43	230.16	295.58	333.28	0.2088	0.5329
♀	2.0000000	129.57	153.81	204.42	261.14	293.57	0.2050	0.5671
♀	5.0000000	112.80	132.09	171.17	213.45	237.04	0.1856	0.6699
♀	6.0000000	114.36	133.84	172.95	214.83	238.03	0.1829	0.7100
♀	7.0000000	117.17	137.74	178.78	222.37	246.39	0.1849	0.7459
♀	8.0000000	120.04	142.36	186.80	233.87	259.74	0.1914	0.7667
♀	17.0000000	122.35	148.19	200.59	257.23	288.77	0.2124	0.7165
♀	18.0000000	121.19	147.43	199.41	254.09	283.98	0.2090	0.8126

GLY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	145.01	168.14	224.51	303.86	358.78	0.2307	-0.1544
♂	0.2500000	145.29	168.43	224.80	304.05	358.86	0.2303	-0.1532
♂	0.3333333	145.58	168.73	225.08	304.24	358.92	0.2299	-0.1519
♂	0.4166667	145.86	169.02	225.36	304.42	358.99	0.2294	-0.1505
♂	0.5000000	146.14	169.31	225.64	304.60	359.04	0.2290	-0.1490
♂	0.5833333	146.42	169.60	225.92	304.76	359.08	0.2285	-0.1475
♂	0.6666667	146.69	169.89	226.19	304.92	359.10	0.2281	-0.1459
♂	0.7500000	146.97	170.18	226.46	305.07	359.11	0.2276	-0.1442
♂	0.8333333	147.24	170.46	226.72	305.21	359.11	0.2271	-0.1424
♂	0.9166667	147.51	170.74	226.97	305.33	359.08	0.2267	-0.1405
♂	1.0000000	147.78	171.01	227.23	305.44	359.03	0.2262	-0.1384
♂	2.0000000	150.84	174.12	229.68	305.41	356.35	0.2192	-0.1013
♂	5.0000000	162.65	184.54	233.89	295.81	334.68	0.1841	0.0379
♂	6.0000000	167.82	188.87	235.94	294.48	331.01	0.1733	0.0183
♂	7.0000000	174.15	194.45	239.86	296.47	331.94	0.1645	-0.0454
♂	8.0000000	181.54	201.39	246.04	302.33	337.98	0.1585	-0.1393
♂	17.0000000	195.91	220.33	271.89	330.96	365.46	0.1585	0.3299
♂	18.0000000	191.69	217.48	270.21	328.12	360.83	0.1598	0.5436
♀	0.1666667	152.06	173.26	227.56	312.06	377.30	0.2279	-0.5005
♀	0.2500000	152.41	173.66	227.92	311.84	376.19	0.2268	-0.4872
♀	0.3333333	152.76	174.06	228.28	311.62	375.11	0.2258	-0.4740
♀	0.4166667	153.10	174.46	228.63	311.40	374.05	0.2247	-0.4608
♀	0.5000000	153.45	174.85	228.98	311.19	373.02	0.2237	-0.4476
♀	0.5833333	153.79	175.24	229.32	310.98	372.00	0.2226	-0.4345
♀	0.6666667	154.13	175.63	229.66	310.76	371.01	0.2216	-0.4214
♀	0.7500000	154.46	176.01	229.99	310.55	370.04	0.2205	-0.4083
♀	0.8333333	154.79	176.39	230.31	310.33	369.08	0.2195	-0.3953
♀	0.9166667	155.12	176.75	230.62	310.11	368.13	0.2185	-0.3824
♀	1.0000000	155.44	177.11	230.92	309.88	367.19	0.2175	-0.3695
♀	2.0000000	158.79	180.82	233.60	306.48	356.29	0.2056	-0.2214
♀	5.0000000	167.58	189.44	237.75	296.69	332.88	0.1750	0.1116
♀	6.0000000	170.95	192.84	240.71	298.26	333.16	0.1701	0.1545
♀	7.0000000	175.11	197.14	245.28	303.14	338.22	0.1678	0.1451
♀	8.0000000	180.23	202.39	251.20	310.62	347.06	0.1671	0.0815
♀	17.0000000	167.65	192.84	251.18	327.11	376.17	0.2062	0.0027
♀	18.0000000	156.83	182.68	242.92	321.69	372.64	0.2207	0.0521

HIS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	16.02	20.12	30.71	46.37	57.45	0.3257	0.0603
♂	0.2500000	16.06	20.20	30.88	46.64	57.75	0.3263	0.0678
♂	0.3333333	16.10	20.28	31.05	46.90	58.05	0.3270	0.0754
♂	0.4166667	16.13	20.36	31.21	47.16	58.35	0.3277	0.0830
♂	0.5000000	16.17	20.44	31.38	47.43	58.65	0.3283	0.0906
♂	0.5833333	16.21	20.51	31.55	47.69	58.95	0.3290	0.0983
♂	0.6666667	16.24	20.59	31.72	47.94	59.25	0.3296	0.1060
♂	0.7500000	16.28	20.66	31.88	48.20	59.54	0.3303	0.1137
♂	0.8333333	16.31	20.73	32.04	48.45	59.82	0.3309	0.1214
♂	0.9166667	16.34	20.81	32.21	48.71	60.11	0.3315	0.1292
♂	1.0000000	16.37	20.87	32.37	48.95	60.38	0.3321	0.1370
♂	2.0000000	16.60	21.59	34.10	51.55	63.20	0.3384	0.2320
♂	5.0000000	17.82	23.85	38.02	56.03	67.20	0.3295	0.4331
♂	6.0000000	18.82	24.97	39.27	57.20	68.21	0.3197	0.4476
♂	7.0000000	19.94	26.15	40.50	58.42	69.41	0.3104	0.4410
♂	8.0000000	21.03	27.26	41.69	59.79	70.94	0.3037	0.4183
♂	17.0000000	27.53	32.14	44.67	66.14	84.32	0.2787	-0.4879
♂	18.0000000	27.41	31.79	43.92	65.86	85.81	0.2794	-0.6227
♀	0.1666667	15.35	19.62	30.13	44.46	53.89	0.3181	0.2361
♀	0.2500000	15.43	19.74	30.28	44.63	54.04	0.3173	0.2433
♀	0.3333333	15.51	19.85	30.44	44.80	54.19	0.3165	0.2505
♀	0.4166667	15.60	19.96	30.60	44.97	54.33	0.3157	0.2578
♀	0.5000000	15.68	20.08	30.76	45.14	54.48	0.3149	0.2650
♀	0.5833333	15.76	20.19	30.92	45.31	54.63	0.3141	0.2722
♀	0.6666667	15.85	20.30	31.08	45.48	54.78	0.3133	0.2794
♀	0.7500000	15.93	20.42	31.24	45.65	54.93	0.3125	0.2866
♀	0.8333333	16.01	20.53	31.40	45.81	55.08	0.3117	0.2938
♀	0.9166667	16.10	20.64	31.56	45.98	55.23	0.3110	0.3010
♀	1.0000000	16.18	20.76	31.72	46.15	55.38	0.3102	0.3083
♀	2.0000000	17.16	22.10	33.61	48.19	57.23	0.3018	0.3903
♀	5.0000000	20.67	26.41	39.43	55.43	65.14	0.2867	0.4418
♀	6.0000000	21.78	27.55	40.87	57.61	67.96	0.2860	0.3765
♀	7.0000000	22.50	28.19	41.61	58.99	70.01	0.2870	0.2943
♀	8.0000000	22.89	28.45	41.81	59.67	71.29	0.2884	0.2139
♀	17.0000000	27.10	32.69	46.16	64.48	76.62	0.2650	0.0970
♀	18.0000000	26.75	32.09	44.77	61.61	72.59	0.2543	0.1265

LEU_ILE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	82.92	99.16	141.62	207.81	257.77	0.2881	-0.1981
♂	0.2500000	82.91	98.97	141.00	206.70	256.46	0.2867	-0.2111
♂	0.3333333	82.89	98.78	140.39	205.59	255.16	0.2853	-0.2241
♂	0.4166667	82.88	98.60	139.78	204.50	253.87	0.2839	-0.2371
♂	0.5000000	82.86	98.41	139.18	203.43	252.60	0.2825	-0.2500
♂	0.5833333	82.84	98.23	138.59	202.36	251.34	0.2811	-0.2630
♂	0.6666667	82.83	98.05	138.02	201.32	250.10	0.2798	-0.2759
♂	0.7500000	82.82	97.88	137.45	200.29	248.88	0.2784	-0.2887
♂	0.8333333	82.80	97.71	136.90	199.27	247.67	0.2770	-0.3016
♂	0.9166667	82.79	97.55	136.36	198.28	246.48	0.2756	-0.3144
♂	1.0000000	82.79	97.39	135.83	197.31	245.32	0.2742	-0.3272
♂	2.0000000	83.13	96.20	130.71	187.07	232.54	0.2574	-0.4719
♂	5.0000000	89.20	100.00	127.17	168.56	200.08	0.2020	-0.6106
♂	6.0000000	91.57	102.20	128.22	165.97	193.32	0.1881	-0.5342
♂	7.0000000	94.07	104.75	130.22	165.55	190.00	0.1780	-0.4265
♂	8.0000000	96.76	107.65	133.04	166.91	189.50	0.1708	-0.3137
♂	17.0000000	112.14	126.01	157.99	199.70	226.86	0.1796	-0.1535
♂	18.0000000	111.64	125.92	159.26	203.60	232.95	0.1874	-0.1848
♀	0.1666667	81.66	101.01	146.61	205.99	243.84	0.2773	0.2566
♀	0.2500000	81.74	100.87	146.08	205.21	243.05	0.2764	0.2415
♀	0.3333333	81.82	100.73	145.55	204.43	242.26	0.2755	0.2265
♀	0.4166667	81.89	100.60	145.03	203.66	241.48	0.2747	0.2114
♀	0.5000000	81.97	100.47	144.51	202.90	240.70	0.2738	0.1964
♀	0.5833333	82.04	100.33	144.00	202.14	239.93	0.2729	0.1814
♀	0.6666667	82.11	100.21	143.50	201.39	239.17	0.2720	0.1664
♀	0.7500000	82.18	100.08	143.01	200.65	238.41	0.2711	0.1514
♀	0.8333333	82.25	99.96	142.53	199.91	237.67	0.2702	0.1364
♀	0.9166667	82.33	99.85	142.05	199.19	236.93	0.2693	0.1215
♀	1.0000000	82.40	99.74	141.59	198.47	236.20	0.2684	0.1065
♀	2.0000000	83.62	99.00	136.91	190.73	228.01	0.2558	-0.0678
♀	5.0000000	90.05	102.14	131.89	174.98	205.90	0.2093	-0.3749
♀	6.0000000	92.04	103.74	131.99	171.83	199.71	0.1963	-0.3587
♀	7.0000000	93.98	105.55	132.91	170.10	195.28	0.1859	-0.2861
♀	8.0000000	95.91	107.61	134.59	169.87	192.89	0.1780	-0.1729
♀	17.0000000	95.92	107.67	135.42	173.04	198.46	0.1848	-0.2831
♀	18.0000000	92.82	104.24	132.04	171.75	199.98	0.1941	-0.4274

OH_PROL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	52.17	63.04	91.98	138.26	173.94	0.3058	-0.1939
♂	0.2500000	52.17	63.07	92.10	138.62	174.55	0.3067	-0.1951
♂	0.3333333	52.17	63.09	92.22	138.98	175.15	0.3075	-0.1963
♂	0.4166667	52.17	63.12	92.34	139.34	175.75	0.3084	-0.1975
♂	0.5000000	52.17	63.14	92.46	139.70	176.36	0.3092	-0.1986
♂	0.5833333	52.17	63.17	92.58	140.06	176.96	0.3100	-0.1997
♂	0.6666667	52.18	63.19	92.70	140.42	177.56	0.3109	-0.2007
♂	0.7500000	52.18	63.22	92.82	140.77	178.15	0.3117	-0.2017
♂	0.8333333	52.18	63.24	92.94	141.13	178.74	0.3125	-0.2026
♂	0.9166667	52.18	63.27	93.06	141.47	179.32	0.3133	-0.2034
♂	1.0000000	52.18	63.29	93.18	141.82	179.90	0.3141	-0.2041
♂	2.0000000	52.16	63.55	94.45	145.33	185.56	0.3219	-0.2034
♂	5.0000000	51.80	63.82	95.15	142.81	177.55	0.3142	-0.0412
♂	6.0000000	51.93	64.36	95.92	141.79	173.83	0.3081	0.0520
♂	7.0000000	52.92	66.19	99.12	145.22	176.32	0.3063	0.1426
♂	8.0000000	54.82	69.31	104.72	152.90	184.60	0.3079	0.2185
♂	17.0000000	74.07	91.04	131.27	184.21	218.28	0.2744	0.2184
♂	18.0000000	76.28	93.30	133.36	185.67	219.15	0.2680	0.2229
♀	0.1666667	55.27	66.48	96.39	144.64	182.22	0.3025	-0.2272
♀	0.2500000	55.15	66.38	96.42	144.98	182.90	0.3040	-0.2278
♀	0.3333333	55.03	66.29	96.44	145.32	183.58	0.3054	-0.2283
♀	0.4166667	54.91	66.20	96.47	145.67	184.26	0.3069	-0.2288
♀	0.5000000	54.79	66.11	96.50	146.01	184.93	0.3083	-0.2293
♀	0.5833333	54.68	66.02	96.52	146.36	185.61	0.3098	-0.2298
♀	0.6666667	54.56	65.93	96.55	146.70	186.28	0.3112	-0.2303
♀	0.7500000	54.45	65.84	96.58	147.03	186.95	0.3126	-0.2308
♀	0.8333333	54.35	65.76	96.61	147.37	187.61	0.3139	-0.2312
♀	0.9166667	54.24	65.68	96.64	147.70	188.26	0.3153	-0.2316
♀	1.0000000	54.14	65.60	96.67	148.02	188.90	0.3166	-0.2320
♀	2.0000000	53.27	64.95	97.08	151.26	195.15	0.3287	-0.2336
♀	5.0000000	53.40	65.14	96.31	145.56	182.92	0.3134	-0.1366
♀	6.0000000	54.38	66.37	97.37	144.14	178.08	0.3025	-0.0599
♀	7.0000000	56.22	68.94	101.05	147.51	179.94	0.2968	0.0276
♀	8.0000000	58.45	72.36	106.76	154.80	187.22	0.2965	0.1205
♀	17.0000000	57.25	73.26	112.24	164.81	199.07	0.3152	0.2594
♀	18.0000000	54.54	70.38	109.81	164.46	200.81	0.3301	0.2272

ORN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	43.74	55.73	84.55	122.74	147.31	0.3067	0.2830
♂	0.2500000	43.39	55.33	84.08	122.25	146.85	0.3080	0.2806
♂	0.3333333	43.05	54.94	83.61	121.77	146.39	0.3093	0.2783
♂	0.4166667	42.71	54.55	83.15	121.29	145.94	0.3105	0.2760
♂	0.5000000	42.37	54.16	82.69	120.81	145.48	0.3118	0.2736
♂	0.5833333	42.04	53.78	82.23	120.33	145.03	0.3130	0.2713
♂	0.6666667	41.71	53.40	81.77	119.86	144.58	0.3142	0.2689
♂	0.7500000	41.38	53.02	81.32	119.38	144.12	0.3154	0.2666
♂	0.8333333	41.06	52.65	80.87	118.90	143.67	0.3166	0.2642
♂	0.9166667	40.74	52.28	80.42	118.43	143.21	0.3178	0.2619
♂	1.0000000	40.43	51.92	79.98	117.95	142.75	0.3190	0.2595
♂	2.0000000	37.17	48.00	74.94	112.24	137.03	0.3303	0.2301
♂	5.0000000	36.22	45.80	70.24	105.74	130.40	0.3263	0.1060
♂	6.0000000	38.29	47.95	72.72	109.17	134.83	0.3210	0.0601
♂	7.0000000	40.27	50.14	75.70	113.92	141.27	0.3202	0.0181
♂	8.0000000	41.63	51.74	78.15	118.32	147.51	0.3227	-0.0137
♂	17.0000000	49.43	59.16	84.02	121.27	148.32	0.2799	-0.1257
♂	18.0000000	51.29	60.93	85.63	122.91	150.25	0.2734	-0.1723
♀	0.1666667	50.39	61.49	89.63	130.83	159.93	0.2946	-0.0100
♀	0.2500000	50.01	61.04	89.05	130.10	159.12	0.2952	-0.0111
♀	0.3333333	49.64	60.60	88.47	129.38	158.33	0.2959	-0.0121
♀	0.4166667	49.27	60.17	87.90	128.66	157.54	0.2965	-0.0132
♀	0.5000000	48.90	59.74	87.34	127.95	156.75	0.2972	-0.0143
♀	0.5833333	48.53	59.31	86.78	127.25	155.98	0.2978	-0.0154
♀	0.6666667	48.17	58.89	86.22	126.55	155.20	0.2985	-0.0165
♀	0.7500000	47.81	58.47	85.67	125.86	154.44	0.2991	-0.0176
♀	0.8333333	47.46	58.06	85.13	125.17	153.68	0.2997	-0.0188
♀	0.9166667	47.11	57.65	84.59	124.49	152.93	0.3004	-0.0199
♀	1.0000000	46.77	57.24	84.05	123.81	152.18	0.3010	-0.0211
♀	2.0000000	43.09	52.89	78.21	116.32	143.88	0.3075	-0.0376
♀	5.0000000	40.46	49.52	73.29	110.01	137.23	0.3113	-0.0892
♀	6.0000000	42.03	51.47	76.26	114.66	143.19	0.3124	-0.0911
♀	7.0000000	43.43	53.34	79.40	119.80	149.81	0.3156	-0.0827
♀	8.0000000	44.08	54.39	81.53	123.48	154.51	0.3198	-0.0620
♀	17.0000000	39.78	50.98	77.18	110.61	131.49	0.3002	0.3664
♀	18.0000000	36.91	48.14	73.68	105.00	123.95	0.3009	0.4733

PHE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	29.39	34.60	48.18	69.48	85.76	0.2710	-0.2880
♂	0.2500000	29.48	34.72	48.32	69.57	85.76	0.2704	-0.2800
♂	0.3333333	29.57	34.83	48.46	69.67	85.75	0.2697	-0.2720
♂	0.4166667	29.66	34.94	48.60	69.76	85.74	0.2690	-0.2640
♂	0.5000000	29.75	35.05	48.73	69.85	85.73	0.2683	-0.2560
♂	0.5833333	29.84	35.16	48.86	69.93	85.72	0.2677	-0.2480
♂	0.6666667	29.92	35.26	48.99	70.01	85.70	0.2670	-0.2401
♂	0.7500000	30.01	35.36	49.11	70.08	85.67	0.2663	-0.2321
♂	0.8333333	30.09	35.46	49.23	70.15	85.64	0.2656	-0.2241
♂	0.9166667	30.17	35.56	49.35	70.21	85.60	0.2649	-0.2161
♂	1.0000000	30.24	35.65	49.46	70.26	85.55	0.2642	-0.2081
♂	2.0000000	30.87	36.42	50.23	70.11	84.09	0.2554	-0.1129
♂	5.0000000	30.89	36.14	48.35	64.20	74.39	0.2241	0.0892
♂	6.0000000	31.10	36.25	48.04	63.05	72.54	0.2158	0.1269
♂	7.0000000	31.62	36.77	48.46	63.14	72.33	0.2108	0.1532
♂	8.0000000	32.31	37.56	49.39	64.17	73.36	0.2088	0.1721
♂	17.0000000	39.95	45.11	56.67	71.07	80.07	0.1774	0.0304
♂	18.0000000	41.61	46.68	58.08	72.41	81.44	0.1713	-0.0405
♀	0.1666667	31.95	36.97	49.95	70.32	86.04	0.2495	-0.3970
♀	0.2500000	32.03	37.05	50.04	70.45	86.22	0.2494	-0.4009
♀	0.3333333	32.11	37.13	50.13	70.57	86.39	0.2492	-0.4049
♀	0.4166667	32.18	37.21	50.22	70.70	86.56	0.2490	-0.4087
♀	0.5000000	32.26	37.28	50.31	70.81	86.72	0.2488	-0.4126
♀	0.5833333	32.33	37.36	50.39	70.92	86.87	0.2486	-0.4164
♀	0.6666667	32.40	37.43	50.47	71.03	87.02	0.2484	-0.4201
♀	0.7500000	32.47	37.50	50.54	71.13	87.15	0.2482	-0.4238
♀	0.8333333	32.54	37.57	50.61	71.22	87.28	0.2480	-0.4274
♀	0.9166667	32.60	37.63	50.68	71.31	87.39	0.2478	-0.4310
♀	1.0000000	32.66	37.69	50.73	71.38	87.49	0.2476	-0.4345
♀	2.0000000	33.10	38.07	50.97	71.46	87.54	0.2440	-0.4656
♀	5.0000000	32.29	37.07	49.00	66.63	79.47	0.2281	-0.3295
♀	6.0000000	32.31	37.21	49.17	66.07	77.83	0.2237	-0.2028
♀	7.0000000	32.63	37.77	49.96	66.42	77.38	0.2203	-0.0615
♀	8.0000000	33.08	38.47	50.97	67.14	77.51	0.2172	0.0731
♀	17.0000000	34.32	40.24	53.45	69.62	79.51	0.2135	0.2623
♀	18.0000000	33.96	40.00	53.48	69.95	80.01	0.2176	0.2808

PIPA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	24.85	33.49	60.26	112.16	158.21	0.4711	-0.0928
♂	0.2500000	24.54	33.18	59.97	111.96	158.05	0.4741	-0.0871
♂	0.3333333	24.24	32.87	59.70	111.78	157.90	0.4772	-0.0814
♂	0.4166667	23.94	32.57	59.43	111.61	157.78	0.4802	-0.0757
♂	0.5000000	23.65	32.27	59.17	111.45	157.66	0.4833	-0.0699
♂	0.5833333	23.37	31.99	58.93	111.32	157.57	0.4863	-0.0642
♂	0.6666667	23.09	31.71	58.70	111.20	157.51	0.4893	-0.0585
♂	0.7500000	22.82	31.44	58.49	111.11	157.46	0.4923	-0.0528
♂	0.8333333	22.56	31.19	58.29	111.04	157.45	0.4953	-0.0471
♂	0.9166667	22.31	30.95	58.12	111.00	157.46	0.4982	-0.0413
♂	1.0000000	22.07	30.71	57.96	110.98	157.51	0.5011	-0.0356
♂	2.0000000	19.85	28.80	57.42	112.73	160.13	0.5324	0.0336
♂	5.0000000	16.90	28.33	64.86	129.27	178.61	0.5857	0.2420
♂	6.0000000	16.15	28.57	67.98	135.06	184.72	0.5952	0.3013
♂	7.0000000	15.88	29.29	71.20	140.14	189.69	0.5960	0.3487
♂	8.0000000	16.26	30.59	74.40	144.08	192.92	0.5873	0.3850
♂	17.0000000	19.39	41.25	96.82	166.73	208.64	0.5113	0.6624
♂	18.0000000	19.67	43.05	101.60	173.52	215.98	0.5079	0.6999
♀	0.1666667	30.47	38.86	64.49	115.80	164.51	0.4231	-0.2653
♀	0.2500000	30.06	38.45	64.11	115.45	164.02	0.4262	-0.2549
♀	0.3333333	29.66	38.04	63.75	115.11	163.55	0.4293	-0.2446
♀	0.4166667	29.26	37.65	63.39	114.78	163.09	0.4325	-0.2343
♀	0.5000000	28.87	37.26	63.05	114.48	162.66	0.4357	-0.2241
♀	0.5833333	28.48	36.88	62.72	114.19	162.25	0.4388	-0.2138
♀	0.6666667	28.10	36.51	62.41	113.93	161.86	0.4420	-0.2035
♀	0.7500000	27.73	36.15	62.11	113.68	161.51	0.4452	-0.1933
♀	0.8333333	27.37	35.80	61.83	113.47	161.18	0.4484	-0.1831
♀	0.9166667	27.02	35.46	61.56	113.28	160.89	0.4516	-0.1730
♀	1.0000000	26.68	35.14	61.32	113.12	160.64	0.4548	-0.1628
♀	2.0000000	23.17	32.01	59.71	113.36	160.38	0.4932	-0.0444
♀	5.0000000	15.84	27.00	63.29	128.23	178.40	0.6008	0.2414
♀	6.0000000	14.87	27.17	67.17	136.70	188.72	0.6183	0.3012
♀	7.0000000	15.29	28.88	72.41	145.61	198.88	0.6156	0.3415
♀	8.0000000	16.75	31.56	77.80	153.20	206.93	0.5998	0.3649
♀	17.0000000	16.01	35.50	89.93	164.86	212.20	0.5652	0.5687
♀	18.0000000	15.25	36.13	95.54	177.35	228.86	0.5822	0.5839

PRO

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	55.47	69.17	107.27	171.81	223.73	0.3544	-0.1557
♂	0.2500000	54.78	68.35	106.17	170.40	222.22	0.3558	-0.1575
♂	0.3333333	54.10	67.55	105.08	169.02	220.74	0.3572	-0.1592
♂	0.4166667	53.44	66.76	104.01	167.66	219.29	0.3586	-0.1610
♂	0.5000000	52.79	65.98	102.96	166.33	217.87	0.3601	-0.1627
♂	0.5833333	52.15	65.22	101.93	165.02	216.48	0.3615	-0.1646
♂	0.6666667	51.53	64.48	100.92	163.74	215.13	0.3629	-0.1664
♂	0.7500000	50.92	63.76	99.93	162.49	213.80	0.3642	-0.1683
♂	0.8333333	50.33	63.05	98.97	161.27	212.51	0.3656	-0.1702
♂	0.9166667	49.76	62.37	98.03	160.08	211.25	0.3670	-0.1722
♂	1.0000000	49.20	61.70	97.11	158.91	210.03	0.3683	-0.1742
♂	2.0000000	43.76	55.11	87.93	147.23	197.97	0.3821	-0.2008
♂	5.0000000	37.96	47.74	76.49	130.32	178.19	0.3899	-0.2439
♂	6.0000000	38.46	48.23	76.55	128.22	172.99	0.3799	-0.2258
♂	7.0000000	39.90	49.87	78.22	128.16	169.95	0.3672	-0.1966
♂	8.0000000	41.95	52.28	81.13	130.32	170.18	0.3557	-0.1660
♂	17.0000000	63.89	78.10	115.40	173.10	215.95	0.3103	-0.0955
♂	18.0000000	64.68	79.59	118.56	178.27	222.10	0.3146	-0.0570
♀	0.1666667	62.31	75.58	112.08	173.92	224.42	0.3239	-0.2624
♀	0.2500000	61.53	74.69	110.95	172.65	223.22	0.3256	-0.2651
♀	0.3333333	60.77	73.81	109.84	171.39	222.04	0.3273	-0.2679
♀	0.4166667	60.02	72.95	108.75	170.16	220.89	0.3290	-0.2707
♀	0.5000000	59.28	72.10	107.67	168.94	219.75	0.3307	-0.2734
♀	0.5833333	58.56	71.27	106.61	167.73	218.64	0.3324	-0.2762
♀	0.6666667	57.85	70.45	105.56	166.55	217.55	0.3341	-0.2789
♀	0.7500000	57.16	69.64	104.54	165.39	216.47	0.3358	-0.2817
♀	0.8333333	56.47	68.85	103.53	164.24	215.42	0.3375	-0.2844
♀	0.9166667	55.80	68.08	102.54	163.11	214.38	0.3391	-0.2871
♀	1.0000000	55.15	67.32	101.56	162.01	213.37	0.3408	-0.2898
♀	2.0000000	48.53	59.56	91.39	150.09	202.28	0.3580	-0.3199
♀	5.0000000	41.40	50.57	77.15	127.09	172.60	0.3562	-0.3630
♀	6.0000000	42.13	51.18	77.11	124.84	167.50	0.3449	-0.3632
♀	7.0000000	44.08	53.25	79.22	126.06	167.12	0.3335	-0.3643
♀	8.0000000	46.98	56.46	83.00	130.05	170.63	0.3230	-0.3676
♀	17.0000000	48.77	62.24	99.23	159.43	205.57	0.3669	-0.0346
♀	18.0000000	46.02	60.60	100.78	165.30	213.63	0.3914	0.0554

SARC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	21.62	25.60	39.02	79.44	158.26	0.4090	-0.9703
♂	0.2500000	21.84	25.89	39.54	80.45	159.59	0.4097	-0.9581
♂	0.3333333	22.07	26.19	40.06	81.46	160.86	0.4104	-0.9458
♂	0.4166667	22.30	26.49	40.59	82.47	162.07	0.4111	-0.9335
♂	0.5000000	22.54	26.79	41.13	83.48	163.22	0.4117	-0.9213
♂	0.5833333	22.77	27.10	41.67	84.49	164.30	0.4123	-0.9090
♂	0.6666667	23.00	27.41	42.21	85.49	165.30	0.4129	-0.8968
♂	0.7500000	23.24	27.72	42.76	86.49	166.22	0.4135	-0.8845
♂	0.8333333	23.48	28.04	43.32	87.47	167.06	0.4140	-0.8723
♂	0.9166667	23.72	28.35	43.87	88.44	167.80	0.4144	-0.8600
♂	1.0000000	23.96	28.67	44.43	89.41	168.46	0.4148	-0.8478
♂	2.0000000	27.02	32.70	51.28	99.35	169.22	0.4131	-0.7037
♂	5.0000000	34.57	42.27	64.71	107.28	146.44	0.3599	-0.3680
♂	6.0000000	34.32	42.13	64.48	105.04	140.47	0.3542	-0.3005
♂	7.0000000	32.56	40.30	62.42	102.09	136.10	0.3610	-0.2528
♂	8.0000000	30.28	37.90	59.91	99.90	134.43	0.3766	-0.2276
♂	17.0000000	34.57	41.34	62.19	108.64	162.90	0.3650	-0.6514
♂	18.0000000	35.56	42.14	62.34	107.77	162.37	0.3530	-0.7201
♀	0.1666667	22.25	26.66	41.27	81.57	148.20	0.4100	-0.8136
♀	0.2500000	22.47	26.95	41.79	82.47	148.93	0.4106	-0.8020
♀	0.3333333	22.69	27.24	42.30	83.37	149.63	0.4112	-0.7904
♀	0.4166667	22.90	27.53	42.82	84.26	150.30	0.4118	-0.7787
♀	0.5000000	23.12	27.82	43.35	85.16	150.94	0.4123	-0.7671
♀	0.5833333	23.34	28.12	43.87	86.04	151.53	0.4129	-0.7555
♀	0.6666667	23.56	28.41	44.40	86.92	152.09	0.4133	-0.7439
♀	0.7500000	23.78	28.71	44.93	87.79	152.60	0.4138	-0.7322
♀	0.8333333	24.00	29.01	45.46	88.65	153.07	0.4142	-0.7206
♀	0.9166667	24.22	29.31	45.99	89.50	153.49	0.4145	-0.7090
♀	1.0000000	24.44	29.60	46.53	90.33	153.87	0.4148	-0.6974
♀	2.0000000	27.12	33.25	52.83	98.96	155.37	0.4128	-0.5621
♀	5.0000000	34.11	42.20	65.79	109.95	149.66	0.3710	-0.3046
♀	6.0000000	33.79	41.85	65.16	107.98	145.66	0.3677	-0.2788
♀	7.0000000	31.95	39.69	62.20	103.94	140.98	0.3734	-0.2781
♀	8.0000000	29.87	37.21	58.92	100.44	138.48	0.3846	-0.3003
♀	17.0000000	31.62	38.84	60.80	106.47	153.34	0.3870	-0.4445
♀	18.0000000	31.50	38.67	60.07	102.65	144.02	0.3760	-0.4029

SER

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	442.67	535.47	777.88	1152.69	1432.00	0.2989	-0.1351
♂	0.2500000	440.10	532.70	774.70	1149.01	1427.97	0.2997	-0.1331
♂	0.3333333	437.54	529.94	771.54	1145.35	1423.97	0.3004	-0.1311
♂	0.4166667	434.99	527.20	768.39	1141.72	1419.99	0.3012	-0.1291
♂	0.5000000	432.46	524.47	765.27	1138.11	1416.06	0.3020	-0.1271
♂	0.5833333	429.94	521.76	762.17	1134.54	1412.16	0.3028	-0.1251
♂	0.6666667	427.44	519.07	759.09	1131.01	1408.30	0.3036	-0.1231
♂	0.7500000	424.96	516.40	756.05	1127.51	1404.49	0.3044	-0.1211
♂	0.8333333	422.49	513.75	753.02	1124.05	1400.74	0.3053	-0.1190
♂	0.9166667	420.04	511.12	750.03	1120.64	1397.03	0.3061	-0.1170
♂	1.0000000	417.61	508.52	747.07	1117.27	1393.39	0.3069	-0.1150
♂	2.0000000	390.93	480.15	715.60	1082.42	1356.15	0.3170	-0.0897
♂	5.0000000	348.53	437.53	668.66	1014.79	1262.10	0.3282	0.0394
♂	6.0000000	344.15	433.83	662.67	995.34	1226.68	0.3238	0.0976
♂	7.0000000	347.06	440.15	674.14	1005.63	1230.86	0.3219	0.1548
♂	8.0000000	356.38	456.04	703.66	1047.27	1276.39	0.3235	0.2090
♂	17.0000000	446.44	574.10	862.14	1212.73	1424.08	0.2888	0.4702
♂	18.0000000	446.72	577.59	871.10	1225.31	1437.45	0.2901	0.4957
♀	0.1666667	416.71	518.63	792.32	1228.08	1558.38	0.3362	-0.0779
♀	0.2500000	415.74	517.20	789.53	1222.85	1551.16	0.3356	-0.0783
♀	0.3333333	414.77	515.78	786.76	1217.66	1543.99	0.3350	-0.0788
♀	0.4166667	413.80	514.36	784.00	1212.50	1536.87	0.3344	-0.0792
♀	0.5000000	412.82	512.94	781.25	1207.37	1529.80	0.3339	-0.0796
♀	0.5833333	411.85	511.53	778.52	1202.29	1522.79	0.3333	-0.0799
♀	0.6666667	410.87	510.11	775.80	1197.24	1515.83	0.3327	-0.0803
♀	0.7500000	409.88	508.70	773.10	1192.23	1508.93	0.3322	-0.0806
♀	0.8333333	408.90	507.29	770.42	1187.26	1502.09	0.3316	-0.0809
♀	0.9166667	407.91	505.88	767.75	1182.34	1495.32	0.3311	-0.0811
♀	1.0000000	406.92	504.47	765.10	1177.46	1488.61	0.3306	-0.0813
♀	2.0000000	395.28	488.29	735.12	1122.05	1411.84	0.3245	-0.0794
♀	5.0000000	373.79	458.02	670.27	976.90	1190.58	0.2955	0.0283
♀	6.0000000	375.80	461.37	671.69	963.74	1160.27	0.2872	0.1075
♀	7.0000000	386.15	477.28	696.40	990.10	1181.75	0.2842	0.1950
♀	8.0000000	400.56	500.96	738.03	1046.49	1242.65	0.2864	0.2824
♀	17.0000000	387.97	519.03	782.61	1063.02	1217.16	0.2718	0.8247
♀	18.0000000	384.40	512.09	764.31	1027.75	1170.94	0.2637	0.8729

THR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	98.21	127.95	208.70	336.04	430.26	0.3766	0.0554
♂	0.2500000	97.16	126.45	205.77	330.35	422.21	0.3746	0.0588
♂	0.3333333	96.12	124.98	202.91	324.79	414.37	0.3725	0.0621
♂	0.4166667	95.11	123.54	200.10	319.36	406.73	0.3704	0.0653
♂	0.5000000	94.12	122.14	197.35	314.07	399.30	0.3684	0.0685
♂	0.5833333	93.15	120.76	194.67	308.91	392.07	0.3663	0.0716
♂	0.6666667	92.21	119.42	192.05	303.89	385.05	0.3643	0.0746
♂	0.7500000	91.30	118.11	189.50	299.01	378.24	0.3622	0.0775
♂	0.8333333	90.42	116.84	187.02	294.26	371.63	0.3602	0.0803
♂	0.9166667	89.56	115.61	184.60	289.66	365.23	0.3582	0.0829
♂	1.0000000	88.74	114.42	182.26	285.20	359.04	0.3561	0.0855
♂	2.0000000	81.47	103.47	160.04	242.87	300.73	0.3327	0.1043
♂	5.0000000	83.45	102.45	150.33	219.45	267.57	0.2972	0.0352
♂	6.0000000	87.79	107.80	158.83	233.95	287.17	0.3023	0.0017
♂	7.0000000	93.19	115.06	171.72	257.04	318.62	0.3136	-0.0184
♂	8.0000000	99.31	123.61	187.43	285.20	356.69	0.3262	-0.0203
♂	17.0000000	140.53	179.40	265.95	369.74	431.69	0.2792	0.4935
♂	18.0000000	140.97	182.77	273.89	380.10	442.16	0.2815	0.5773
♀	0.1666667	111.55	141.47	216.65	323.10	395.40	0.3218	0.1557
♀	0.2500000	110.16	139.66	213.89	319.18	390.80	0.3220	0.1520
♀	0.3333333	108.79	137.89	211.18	315.33	386.28	0.3223	0.1482
♀	0.4166667	107.45	136.15	208.51	311.54	381.85	0.3226	0.1445
♀	0.5000000	106.13	134.44	205.90	307.83	377.49	0.3228	0.1408
♀	0.5833333	104.84	132.77	203.34	304.19	373.22	0.3231	0.1372
♀	0.6666667	103.57	131.13	200.84	300.63	369.04	0.3234	0.1335
♀	0.7500000	102.34	129.53	198.39	297.14	364.95	0.3236	0.1299
♀	0.8333333	101.13	127.97	196.00	293.74	360.96	0.3239	0.1263
♀	0.9166667	99.96	126.44	193.67	290.42	357.06	0.3241	0.1228
♀	1.0000000	98.81	124.96	191.40	287.18	353.26	0.3244	0.1193
♀	2.0000000	87.71	110.54	169.17	255.20	315.53	0.3263	0.0818
♀	5.0000000	82.89	102.72	153.20	226.92	278.62	0.3092	0.0440
♀	6.0000000	87.98	108.60	160.68	235.94	288.29	0.3027	0.0504
♀	7.0000000	95.62	117.99	174.13	254.46	309.88	0.2998	0.0665
♀	8.0000000	104.84	129.77	191.99	280.12	340.32	0.3001	0.0940
♀	17.0000000	139.11	174.94	263.88	388.00	471.44	0.3104	0.1611
♀	18.0000000	144.51	180.92	271.18	397.06	481.72	0.3063	0.1515

TRP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	47.20	59.88	96.56	162.48	218.33	0.3885	-0.1709
♂	0.2500000	47.13	59.80	96.46	162.27	217.96	0.3885	-0.1691
♂	0.3333333	47.05	59.73	96.36	162.06	217.60	0.3885	-0.1672
♂	0.4166667	46.98	59.65	96.26	161.85	217.24	0.3885	-0.1654
♂	0.5000000	46.91	59.58	96.16	161.65	216.88	0.3886	-0.1635
♂	0.5833333	46.84	59.50	96.06	161.44	216.52	0.3886	-0.1617
♂	0.6666667	46.77	59.43	95.96	161.23	216.16	0.3886	-0.1598
♂	0.7500000	46.70	59.36	95.87	161.03	215.79	0.3886	-0.1579
♂	0.8333333	46.63	59.29	95.77	160.82	215.43	0.3886	-0.1559
♂	0.9166667	46.56	59.22	95.67	160.62	215.07	0.3885	-0.1539
♂	1.0000000	46.50	59.14	95.58	160.41	214.71	0.3885	-0.1520
♂	2.0000000	45.68	58.35	94.67	158.43	211.00	0.3892	-0.1243
♂	5.0000000	45.86	60.64	101.85	169.19	220.38	0.4003	0.0423
♂	6.0000000	47.95	64.37	109.23	179.51	230.78	0.3996	0.1224
♂	7.0000000	50.16	68.64	118.14	192.66	245.03	0.4012	0.2029
♂	8.0000000	51.74	72.54	127.41	207.47	262.11	0.4072	0.2755
♂	17.0000000	62.04	87.59	149.72	230.96	282.06	0.3726	0.4398
♂	18.0000000	64.68	90.19	151.02	228.88	277.19	0.3578	0.4630
♀	0.1666667	46.94	61.04	101.98	174.61	234.62	0.4098	-0.0888
♀	0.2500000	46.77	60.85	101.68	173.88	233.32	0.4094	-0.0836
♀	0.3333333	46.59	60.66	101.39	173.15	232.03	0.4090	-0.0783
♀	0.4166667	46.42	60.47	101.09	172.44	230.76	0.4086	-0.0731
♀	0.5000000	46.25	60.29	100.81	171.73	229.51	0.4083	-0.0679
♀	0.5833333	46.08	60.10	100.52	171.04	228.28	0.4079	-0.0627
♀	0.6666667	45.91	59.92	100.25	170.35	227.06	0.4075	-0.0575
♀	0.7500000	45.75	59.75	99.97	169.68	225.87	0.4071	-0.0523
♀	0.8333333	45.58	59.57	99.70	169.02	224.71	0.4068	-0.0471
♀	0.9166667	45.42	59.40	99.44	168.37	223.56	0.4064	-0.0418
♀	1.0000000	45.27	59.24	99.19	167.74	222.44	0.4060	-0.0366
♀	2.0000000	43.74	57.72	96.97	161.79	211.57	0.4021	0.0256
♀	5.0000000	47.84	64.56	108.24	171.99	215.83	0.3808	0.2237
♀	6.0000000	51.19	69.63	116.57	182.41	226.22	0.3733	0.2920
♀	7.0000000	52.97	73.29	124.06	193.18	238.05	0.3744	0.3575
♀	8.0000000	52.88	75.17	130.35	204.01	250.99	0.3841	0.4145
♀	17.0000000	61.10	82.98	141.53	229.80	292.03	0.3962	0.1896
♀	18.0000000	61.57	82.56	139.12	225.82	287.94	0.3918	0.1479

TYR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	36.37	43.37	61.96	91.91	115.31	0.2921	-0.2662
♂	0.2500000	36.23	43.18	61.66	91.46	114.77	0.2918	-0.2704
♂	0.3333333	36.10	43.00	61.37	91.01	114.24	0.2915	-0.2746
♂	0.4166667	35.96	42.82	61.07	90.56	113.70	0.2912	-0.2787
♂	0.5000000	35.83	42.64	60.78	90.12	113.17	0.2908	-0.2829
♂	0.5833333	35.70	42.47	60.49	89.68	112.65	0.2905	-0.2869
♂	0.6666667	35.57	42.29	60.21	89.25	112.12	0.2902	-0.2909
♂	0.7500000	35.44	42.12	59.93	88.82	111.60	0.2899	-0.2949
♂	0.8333333	35.31	41.95	59.65	88.39	111.09	0.2896	-0.2987
♂	0.9166667	35.19	41.78	59.37	87.97	110.58	0.2892	-0.3025
♂	1.0000000	35.06	41.62	59.10	87.55	110.07	0.2889	-0.3063
♂	2.0000000	33.73	39.84	56.16	82.87	104.19	0.2842	-0.3424
♂	5.0000000	32.77	38.25	52.39	74.28	90.87	0.2580	-0.3146
♂	6.0000000	33.57	39.10	53.08	73.96	89.23	0.2481	-0.2559
♂	7.0000000	34.75	40.46	54.59	74.96	89.36	0.2404	-0.1841
♂	8.0000000	36.06	42.03	56.55	76.84	90.76	0.2353	-0.1092
♂	17.0000000	37.03	45.29	62.16	80.48	90.73	0.2212	0.7079
♂	18.0000000	36.34	44.83	61.80	79.78	89.67	0.2210	0.7944
♀	0.1666667	39.10	46.39	66.57	102.04	132.60	0.3047	-0.4256
♀	0.2500000	38.88	46.10	66.13	101.37	131.81	0.3045	-0.4303
♀	0.3333333	38.66	45.83	65.70	100.72	131.03	0.3043	-0.4349
♀	0.4166667	38.44	45.55	65.27	100.07	130.25	0.3040	-0.4395
♀	0.5000000	38.23	45.28	64.84	99.42	129.47	0.3038	-0.4441
♀	0.5833333	38.02	45.01	64.42	98.79	128.70	0.3036	-0.4485
♀	0.6666667	37.81	44.74	64.01	98.15	127.94	0.3033	-0.4530
♀	0.7500000	37.61	44.48	63.60	97.53	127.18	0.3030	-0.4573
♀	0.8333333	37.40	44.23	63.20	96.91	126.43	0.3028	-0.4615
♀	0.9166667	37.20	43.97	62.80	96.30	125.68	0.3025	-0.4657
♀	1.0000000	37.01	43.73	62.41	95.70	124.94	0.3022	-0.4698
♀	2.0000000	35.02	41.18	58.32	89.02	116.24	0.2970	-0.5068
♀	5.0000000	34.34	39.87	54.33	77.38	95.45	0.2572	-0.4035
♀	6.0000000	35.49	41.15	55.45	76.91	92.70	0.2433	-0.2940
♀	7.0000000	36.76	42.66	57.10	77.48	91.64	0.2326	-0.1567
♀	8.0000000	37.73	43.97	58.72	78.48	91.54	0.2261	-0.0082
♀	17.0000000	29.31	37.03	54.98	77.78	91.99	0.2879	0.3523
♀	18.0000000	26.57	34.26	52.57	76.38	91.47	0.3109	0.3389

VAL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	68.30	81.34	115.89	171.30	214.44	0.2897	-0.2659
♂	0.2500000	68.86	81.88	116.36	171.76	214.98	0.2880	-0.2765
♂	0.3333333	69.43	82.42	116.84	172.21	215.51	0.2864	-0.2871
♂	0.4166667	69.99	82.96	117.32	172.66	216.03	0.2848	-0.2976
♂	0.5000000	70.56	83.50	117.79	173.10	216.53	0.2832	-0.3080
♂	0.5833333	71.12	84.04	118.27	173.53	217.02	0.2816	-0.3183
♂	0.6666667	71.68	84.58	118.74	173.95	217.49	0.2800	-0.3285
♂	0.7500000	72.24	85.11	119.20	174.37	217.95	0.2785	-0.3386
♂	0.8333333	72.80	85.64	119.67	174.77	218.38	0.2769	-0.3486
♂	0.9166667	73.36	86.17	120.13	175.16	218.79	0.2753	-0.3584
♂	1.0000000	73.91	86.70	120.58	175.54	219.17	0.2737	-0.3681
♂	2.0000000	80.11	92.60	125.43	178.57	221.04	0.2542	-0.4634
♂	5.0000000	90.13	101.73	130.11	170.93	200.09	0.2018	-0.3996
♂	6.0000000	90.71	102.18	129.52	167.21	193.03	0.1918	-0.3007
♂	7.0000000	91.31	102.86	129.88	165.94	189.89	0.1864	-0.2053
♂	8.0000000	92.42	104.30	131.76	167.72	191.19	0.1853	-0.1332
♂	17.0000000	109.81	123.82	155.26	194.54	219.14	0.1763	0.0142
♂	18.0000000	111.23	125.60	157.50	196.67	220.85	0.1749	0.0830
♀	0.1666667	68.89	84.97	122.46	170.54	200.84	0.2709	0.2825
♀	0.2500000	69.57	85.59	122.98	171.11	201.53	0.2695	0.2685
♀	0.3333333	70.26	86.21	123.50	171.67	202.22	0.2681	0.2546
♀	0.4166667	70.94	86.82	124.02	172.23	202.90	0.2667	0.2407
♀	0.5000000	71.63	87.43	124.54	172.79	203.57	0.2652	0.2268
♀	0.5833333	72.30	88.04	125.05	173.33	204.24	0.2638	0.2130
♀	0.6666667	72.98	88.65	125.56	173.87	204.89	0.2624	0.1992
♀	0.7500000	73.65	89.25	126.07	174.40	205.52	0.2610	0.1855
♀	0.8333333	74.32	89.85	126.57	174.92	206.14	0.2596	0.1719
♀	0.9166667	74.98	90.45	127.06	175.42	206.75	0.2582	0.1583
♀	1.0000000	75.63	91.04	127.55	175.91	207.33	0.2568	0.1447
♀	2.0000000	82.85	97.45	132.48	180.21	212.13	0.2398	-0.0058
♀	5.0000000	91.78	104.02	132.92	171.98	198.18	0.1960	-0.1963
♀	6.0000000	91.78	103.63	131.37	168.35	192.87	0.1892	-0.1839
♀	7.0000000	92.11	103.94	131.39	167.50	191.17	0.1861	-0.1482
♀	8.0000000	93.28	105.40	133.25	169.37	192.72	0.1850	-0.0938
♀	17.0000000	90.94	105.06	137.09	177.45	202.80	0.2044	0.1170
♀	18.0000000	88.39	102.83	135.86	177.90	204.47	0.2138	0.1203

C0

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	19.92	23.91	33.75	47.61	57.11	0.2687	0.0053
♂	0.2500000	19.67	23.62	33.35	47.04	56.41	0.2687	0.0087
♂	0.3333333	19.43	23.34	32.96	46.48	55.73	0.2688	0.0121
♂	0.4166667	19.19	23.06	32.57	45.93	55.05	0.2689	0.0155
♂	0.5000000	18.95	22.78	32.19	45.39	54.39	0.2689	0.0189
♂	0.5833333	18.72	22.51	31.82	44.86	53.74	0.2690	0.0223
♂	0.6666667	18.50	22.24	31.45	44.33	53.10	0.2690	0.0257
♂	0.7500000	18.27	21.98	31.09	43.82	52.47	0.2691	0.0291
♂	0.8333333	18.05	21.72	30.73	43.31	51.86	0.2692	0.0325
♂	0.9166667	17.83	21.47	30.39	42.82	51.26	0.2693	0.0360
♂	1.0000000	17.62	21.22	30.05	42.34	50.67	0.2694	0.0394
♂	2.0000000	15.40	18.64	26.52	37.38	44.65	0.2715	0.0811
♂	5.0000000	12.11	15.10	22.34	32.14	38.58	0.2943	0.1969
♂	6.0000000	11.82	14.96	22.60	32.95	39.73	0.3072	0.2296
♂	7.0000000	11.88	15.23	23.42	34.48	41.69	0.3175	0.2599
♂	8.0000000	12.16	15.75	24.47	36.14	43.68	0.3223	0.2954
♂	17.0000000	13.57	17.80	27.21	38.42	45.07	0.2959	0.5391
♂	18.0000000	14.35	18.40	27.47	38.39	44.93	0.2838	0.4880
♀	0.1666667	19.38	23.82	34.27	47.86	56.52	0.2715	0.2442
♀	0.2500000	19.12	23.51	33.81	47.21	55.75	0.2714	0.2446
♀	0.3333333	18.87	23.19	33.36	46.58	55.00	0.2714	0.2450
♀	0.4166667	18.62	22.89	32.92	45.96	54.27	0.2713	0.2455
♀	0.5000000	18.37	22.59	32.48	45.35	53.54	0.2713	0.2459
♀	0.5833333	18.13	22.29	32.06	44.75	52.83	0.2712	0.2464
♀	0.6666667	17.90	22.00	31.64	44.16	52.14	0.2712	0.2469
♀	0.7500000	17.67	21.72	31.23	43.59	51.46	0.2712	0.2474
♀	0.8333333	17.44	21.44	30.83	43.03	50.79	0.2711	0.2479
♀	0.9166667	17.22	21.17	30.44	42.48	50.14	0.2711	0.2485
♀	1.0000000	17.00	20.90	30.06	41.94	49.50	0.2710	0.2491
♀	2.0000000	14.82	18.24	26.24	36.59	43.15	0.2708	0.2598
♀	5.0000000	11.92	15.03	22.26	31.39	37.07	0.2856	0.3588
♀	6.0000000	11.74	15.01	22.53	31.94	37.73	0.2925	0.4048
♀	7.0000000	11.93	15.41	23.33	33.12	39.08	0.2957	0.4451
♀	8.0000000	12.33	16.00	24.34	34.53	40.69	0.2968	0.4729
♀	17.0000000	9.26	12.98	22.31	35.05	43.31	0.3832	0.3688
♀	18.0000000	8.50	12.24	21.68	34.55	42.87	0.3991	0.3954

C2

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	11.18	13.66	19.82	28.53	34.48	0.2873	0.0610
♂	0.2500000	11.06	13.51	19.60	28.20	34.09	0.2870	0.0593
♂	0.3333333	10.95	13.37	19.39	27.89	33.70	0.2867	0.0575
♂	0.4166667	10.84	13.23	19.18	27.58	33.33	0.2864	0.0558
♂	0.5000000	10.73	13.10	18.97	27.27	32.95	0.2861	0.0540
♂	0.5833333	10.63	12.96	18.76	26.97	32.59	0.2858	0.0522
♂	0.6666667	10.52	12.83	18.56	26.67	32.23	0.2855	0.0505
♂	0.7500000	10.42	12.70	18.36	26.38	31.88	0.2852	0.0487
♂	0.8333333	10.32	12.57	18.17	26.10	31.53	0.2849	0.0469
♂	0.9166667	10.22	12.44	17.98	25.82	31.19	0.2847	0.0451
♂	1.0000000	10.12	12.32	17.79	25.54	30.86	0.2844	0.0432
♂	2.0000000	9.12	11.06	15.87	22.71	27.42	0.2808	0.0218
♂	5.0000000	8.20	9.82	13.79	19.33	23.10	0.2642	0.0123
♂	6.0000000	8.45	10.10	14.10	19.61	23.30	0.2588	0.0421
♂	7.0000000	8.87	10.63	14.81	20.40	24.07	0.2543	0.1059
♂	8.0000000	9.36	11.28	15.73	21.47	25.11	0.2507	0.2136
♂	17.0000000	11.67	14.08	18.66	23.25	25.69	0.1917	0.9819
♂	18.0000000	12.10	14.50	18.99	23.46	25.82	0.1841	1.0256
♀	0.1666667	11.23	13.81	20.25	29.48	35.84	0.2959	0.0558
♀	0.2500000	11.10	13.65	20.03	29.14	35.41	0.2958	0.0605
♀	0.3333333	10.97	13.50	19.81	28.80	34.99	0.2957	0.0653
♀	0.4166667	10.84	13.34	19.59	28.47	34.57	0.2956	0.0700
♀	0.5000000	10.72	13.20	19.38	28.15	34.16	0.2955	0.0747
♀	0.5833333	10.60	13.05	19.17	27.83	33.76	0.2954	0.0795
♀	0.6666667	10.48	12.91	18.96	27.52	33.36	0.2953	0.0842
♀	0.7500000	10.36	12.77	18.76	27.21	32.97	0.2951	0.0890
♀	0.8333333	10.24	12.63	18.56	26.91	32.59	0.2950	0.0937
♀	0.9166667	10.13	12.50	18.37	26.61	32.22	0.2949	0.0985
♀	1.0000000	10.02	12.36	18.17	26.32	31.85	0.2947	0.1033
♀	2.0000000	8.92	11.05	16.25	23.35	28.06	0.2914	0.1614
♀	5.0000000	8.22	10.16	14.59	20.14	23.56	0.2658	0.3440
♀	6.0000000	8.53	10.54	15.01	20.43	23.71	0.2568	0.4139
♀	7.0000000	8.96	11.06	15.64	21.03	24.22	0.2488	0.4849
♀	8.0000000	9.45	11.64	16.34	21.76	24.90	0.2417	0.5465
♀	17.0000000	9.56	11.97	17.08	22.89	26.24	0.2499	0.5988
♀	18.0000000	9.39	11.75	16.73	22.30	25.48	0.2465	0.6385

CRE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.4166667	15.89	17.61	21.40	25.99	28.81	0.1518	0.0004
♂	0.5000000	16.06	17.79	21.58	26.19	29.02	0.1510	-0.0083
♂	0.5833333	16.23	17.96	21.77	26.40	29.24	0.1502	-0.0170
♂	0.6666667	16.40	18.14	21.96	26.61	29.46	0.1495	-0.0257
♂	0.7500000	16.57	18.32	22.15	26.81	29.69	0.1487	-0.0344
♂	0.8333333	16.75	18.50	22.34	27.03	29.91	0.1480	-0.0431
♂	0.9166667	16.92	18.68	22.53	27.24	30.14	0.1472	-0.0518
♂	1.0000000	17.10	18.86	22.73	27.45	30.37	0.1465	-0.0605
♂	2.0000000	19.38	21.21	25.25	30.21	33.29	0.1380	-0.1635
♂	5.0000000	27.09	29.28	34.15	40.21	44.04	0.1236	-0.3854
♂	6.0000000	29.47	31.84	37.11	43.67	47.82	0.1231	-0.3934
♂	7.0000000	31.73	34.31	40.04	47.18	51.69	0.1241	-0.3787
♂	8.0000000	33.89	36.69	42.92	50.68	55.58	0.1258	-0.3672
♂	17.0000000	61.69	67.78	80.42	94.63	102.84	0.1301	0.2935
♂	18.0000000	67.13	73.48	86.58	101.20	109.59	0.1248	0.3128
♀	0.4166667	16.38	17.91	21.26	25.29	27.75	0.1346	-0.0800
♀	0.5000000	16.50	18.06	21.44	25.49	27.96	0.1345	-0.0631
♀	0.5833333	16.63	18.20	21.61	25.69	28.17	0.1345	-0.0462
♀	0.6666667	16.76	18.35	21.79	25.90	28.39	0.1344	-0.0294
♀	0.7500000	16.89	18.50	21.97	26.11	28.60	0.1343	-0.0125
♀	0.8333333	17.03	18.65	22.16	26.31	28.82	0.1343	0.0043
♀	0.9166667	17.16	18.80	22.34	26.52	29.04	0.1342	0.0210
♀	1.0000000	17.29	18.96	22.53	26.74	29.26	0.1342	0.0377
♀	2.0000000	19.05	20.95	24.94	29.49	32.14	0.1333	0.2312
♀	5.0000000	26.37	29.10	34.52	40.29	43.48	0.1265	0.6158
♀	6.0000000	29.03	32.00	37.85	43.98	47.34	0.1235	0.6960
♀	7.0000000	31.37	34.56	40.80	47.27	50.80	0.1216	0.7534
♀	8.0000000	33.38	36.77	43.38	50.22	53.93	0.1210	0.7727
♀	17.0000000	52.21	56.93	66.73	77.81	84.23	0.1219	0.2163
♀	18.0000000	52.86	57.70	67.65	78.69	85.00	0.1209	0.3273

ASP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♀	0.1666667	44.25	60.24	105.90	182.00	240.35	0.4311	0.0743	2.081381e+49
♀	0.2500000	44.42	60.54	106.66	183.65	242.76	0.4327	0.0743	2.081381e+49
♀	0.3333333	44.59	60.85	107.42	185.32	245.19	0.4342	0.0743	2.081381e+49
♀	0.4166667	44.77	61.16	108.19	186.99	247.64	0.4358	0.0743	2.081381e+49
♀	0.5000000	44.94	61.47	108.96	188.68	250.11	0.4373	0.0743	2.081381e+49
♀	0.5833333	45.12	61.78	109.74	190.38	252.60	0.4388	0.0743	2.081381e+49
♀	0.6666667	45.30	62.10	110.52	192.09	255.10	0.4403	0.0743	2.081381e+49
♀	0.7500000	45.47	62.41	111.30	193.81	257.63	0.4418	0.0743	2.081381e+49
♀	0.8333333	45.65	62.73	112.09	195.55	260.17	0.4433	0.0743	2.081381e+49
♀	0.9166667	45.83	63.05	112.88	197.29	262.73	0.4448	0.0743	2.081381e+49
♀	1.0000000	46.01	63.37	113.68	199.04	265.30	0.4463	0.0743	2.081381e+49
♀	2.0000000	48.32	67.40	123.70	221.15	297.83	0.4633	0.0743	2.081381e+49
♀	5.0000000	57.63	82.94	160.83	302.33	417.39	0.5042	0.0743	2.081381e+49
♀	6.0000000	60.68	88.00	172.87	328.82	456.62	0.5139	0.0743	2.081381e+49
♀	7.0000000	63.43	92.51	183.56	352.34	491.47	0.5213	0.0743	2.081381e+49
♀	8.0000000	66.35	97.15	194.09	374.87	524.49	0.5264	0.0743	2.081381e+49
♀	17.0000000	91.58	127.96	235.55	422.27	569.46	0.4655	0.0743	2.081381e+49
♀	18.0000000	91.83	126.70	228.04	400.48	534.59	0.4487	0.0743	2.081381e+49
♂	0.1666667	53.63	72.10	123.83	207.98	271.38	0.4131	0.0795	4.493257e+106
♂	0.2500000	53.64	72.19	124.21	208.98	272.91	0.4144	0.0795	4.493257e+106
♂	0.3333333	53.66	72.29	124.61	209.99	274.46	0.4158	0.0795	4.493257e+106
♂	0.4166667	53.68	72.39	125.00	211.00	276.01	0.4171	0.0795	4.493257e+106
♂	0.5000000	53.70	72.49	125.40	212.02	277.57	0.4185	0.0795	4.493257e+106
♂	0.5833333	53.72	72.59	125.80	213.05	279.14	0.4198	0.0795	4.493257e+106
♂	0.6666667	53.74	72.69	126.20	214.08	280.73	0.4211	0.0795	4.493257e+106
♂	0.7500000	53.76	72.80	126.61	215.13	282.33	0.4225	0.0795	4.493257e+106
♂	0.8333333	53.79	72.91	127.03	216.18	283.94	0.4238	0.0795	4.493257e+106
♂	0.9166667	53.82	73.02	127.44	217.24	285.56	0.4251	0.0795	4.493257e+106
♂	1.0000000	53.85	73.13	127.87	218.31	287.20	0.4264	0.0795	4.493257e+106
♂	2.0000000	54.49	74.87	133.60	232.41	308.59	0.4417	0.0795	4.493257e+106
♂	5.0000000	59.74	84.59	159.14	290.46	394.93	0.4809	0.0795	4.493257e+106
♂	6.0000000	62.37	89.03	169.87	314.03	429.67	0.4914	0.0795	4.493257e+106
♂	7.0000000	66.11	95.03	183.51	342.96	471.77	0.5003	0.0795	4.493257e+106
♂	8.0000000	70.92	102.52	199.94	377.02	520.89	0.5076	0.0795	4.493257e+106
♂	17.0000000	92.77	132.70	254.07	471.18	645.69	0.4940	0.0795	4.493257e+106
♂	18.0000000	97.66	138.63	261.93	479.95	653.83	0.4841	0.0795	4.493257e+106

MET

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	12.29	16.30	25.83	43.16	63.05	0.3435	-0.2258	7.1757
♂	0.2500000	12.26	16.25	25.73	42.94	62.66	0.3428	-0.2258	7.1757
♂	0.3333333	12.23	16.21	25.62	42.72	62.28	0.3420	-0.2258	7.1757
♂	0.4166667	12.20	16.16	25.52	42.50	61.90	0.3412	-0.2258	7.1757
♂	0.5000000	12.17	16.11	25.42	42.28	61.52	0.3405	-0.2258	7.1757
♂	0.5833333	12.15	16.06	25.33	42.07	61.15	0.3397	-0.2258	7.1757
♂	0.6666667	12.12	16.02	25.23	41.85	60.78	0.3389	-0.2258	7.1757
♂	0.7500000	12.09	15.97	25.13	41.64	60.41	0.3382	-0.2258	7.1757
♂	0.8333333	12.06	15.93	25.03	41.43	60.05	0.3374	-0.2258	7.1757
♂	0.9166667	12.03	15.88	24.94	41.22	59.69	0.3367	-0.2258	7.1757
♂	1.0000000	12.01	15.83	24.84	41.02	59.34	0.3359	-0.2258	7.1757
♂	2.0000000	11.70	15.34	23.79	38.73	55.39	0.3270	-0.2258	7.1757
♂	5.0000000	11.39	14.65	21.99	34.41	47.67	0.3016	-0.2258	7.1757
♂	6.0000000	11.53	14.74	21.90	33.84	46.42	0.2936	-0.2258	7.1757
♂	7.0000000	11.79	14.99	22.06	33.67	45.75	0.2858	-0.2258	7.1757
♂	8.0000000	12.16	15.37	22.40	33.79	45.49	0.2783	-0.2258	7.1757
♂	17.0000000	16.18	19.53	26.32	36.24	45.48	0.2187	-0.2258	7.1757
♂	18.0000000	16.50	19.83	26.52	36.20	45.12	0.2129	-0.2258	7.1757
♀	0.1666667	12.63	16.74	26.01	43.30	65.82	0.3252	-0.3055	5.6257
♀	0.2500000	12.60	16.69	25.92	43.11	65.46	0.3246	-0.3055	5.6257
♀	0.3333333	12.57	16.65	25.83	42.91	65.10	0.3240	-0.3055	5.6257
♀	0.4166667	12.54	16.60	25.74	42.72	64.75	0.3233	-0.3055	5.6257
♀	0.5000000	12.52	16.56	25.66	42.53	64.40	0.3227	-0.3055	5.6257
♀	0.5833333	12.49	16.52	25.57	42.34	64.05	0.3221	-0.3055	5.6257
♀	0.6666667	12.46	16.47	25.48	42.16	63.70	0.3215	-0.3055	5.6257
♀	0.7500000	12.43	16.43	25.40	41.97	63.36	0.3209	-0.3055	5.6257
♀	0.8333333	12.41	16.39	25.31	41.79	63.02	0.3203	-0.3055	5.6257
♀	0.9166667	12.38	16.34	25.23	41.60	62.68	0.3197	-0.3055	5.6257
♀	1.0000000	12.35	16.30	25.14	41.42	62.35	0.3191	-0.3055	5.6257
♀	2.0000000	12.07	15.84	24.20	39.40	58.64	0.3119	-0.3055	5.6257
♀	5.0000000	11.74	15.18	22.59	35.53	51.22	0.2913	-0.3055	5.6257
♀	6.0000000	11.85	15.25	22.51	35.01	49.98	0.2848	-0.3055	5.6257
♀	7.0000000	12.07	15.45	22.62	34.82	49.23	0.2784	-0.3055	5.6257
♀	8.0000000	12.37	15.76	22.89	34.86	48.84	0.2721	-0.3055	5.6257
♀	17.0000000	14.82	18.15	24.68	34.65	45.19	0.2220	-0.3055	5.6257
♀	18.0000000	14.83	18.09	24.44	34.04	44.09	0.2171	-0.3055	5.6257

TAU

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	115.92	150.41	246.50	407.40	534.68	0.3873	-0.0339	181.0429
♂	0.2500000	115.54	150.21	247.11	410.01	539.26	0.3903	-0.0339	181.0429
♂	0.3333333	115.14	150.00	247.70	412.62	543.86	0.3933	-0.0339	181.0429
♂	0.4166667	114.74	149.77	248.27	415.21	548.47	0.3963	-0.0339	181.0429
♂	0.5000000	114.33	149.53	248.82	417.78	553.06	0.3994	-0.0339	181.0429
♂	0.5833333	113.90	149.26	249.34	420.32	557.64	0.4024	-0.0339	181.0429
♂	0.6666667	113.46	148.98	249.83	422.82	562.19	0.4055	-0.0339	181.0429
♂	0.7500000	113.00	148.68	250.27	425.27	566.68	0.4085	-0.0339	181.0429
♂	0.8333333	112.52	148.35	250.68	427.66	571.12	0.4115	-0.0339	181.0429
♂	0.9166667	112.03	147.99	251.05	429.99	575.49	0.4146	-0.0339	181.0429
♂	1.0000000	111.52	147.62	251.36	432.24	579.77	0.4176	-0.0339	181.0429
♂	2.0000000	104.48	141.45	251.57	452.58	622.30	0.4520	-0.0339	181.0429
♂	5.0000000	89.57	124.87	235.03	448.56	637.21	0.4970	-0.0339	181.0429
♂	6.0000000	88.36	122.64	228.88	432.94	612.01	0.4902	-0.0339	181.0429
♂	7.0000000	88.39	121.61	223.13	414.67	580.47	0.4768	-0.0339	181.0429
♂	8.0000000	88.98	121.20	218.12	397.26	549.95	0.4614	-0.0339	181.0429
♂	17.0000000	97.20	127.68	214.25	362.86	482.66	0.4060	-0.0339	181.0429
♂	18.0000000	94.43	123.28	204.47	342.13	452.07	0.3967	-0.0339	181.0429
♀	0.1666667	100.77	142.01	245.30	419.92	583.24	0.3962	0.0305	10.4532
♀	0.2500000	100.45	141.86	245.86	422.23	587.58	0.3986	0.0305	10.4532
♀	0.3333333	100.13	141.70	246.40	424.53	591.92	0.4010	0.0305	10.4532
♀	0.4166667	99.79	141.53	246.92	426.80	596.25	0.4034	0.0305	10.4532
♀	0.5000000	99.45	141.34	247.41	429.03	600.53	0.4058	0.0305	10.4532
♀	0.5833333	99.09	141.14	247.88	431.22	604.77	0.4082	0.0305	10.4532
♀	0.6666667	98.72	140.91	248.30	433.36	608.95	0.4106	0.0305	10.4532
♀	0.7500000	98.34	140.66	248.69	435.43	613.04	0.4130	0.0305	10.4532
♀	0.8333333	97.95	140.39	249.04	437.43	617.04	0.4153	0.0305	10.4532
♀	0.9166667	97.53	140.10	249.33	439.35	620.94	0.4177	0.0305	10.4532
♀	1.0000000	97.11	139.77	249.58	441.17	624.70	0.4201	0.0305	10.4532
♀	2.0000000	91.13	134.28	248.72	455.47	658.83	0.4464	0.0305	10.4532
♀	5.0000000	79.34	120.31	233.07	445.65	661.55	0.4786	0.0305	10.4532
♀	6.0000000	78.69	118.24	225.87	426.07	627.37	0.4685	0.0305	10.4532
♀	7.0000000	78.35	115.84	215.75	397.19	576.34	0.4503	0.0305	10.4532
♀	8.0000000	78.71	114.16	206.26	368.79	525.81	0.4286	0.0305	10.4532
♀	17.0000000	95.34	131.39	219.12	362.55	493.31	0.3709	0.0305	10.4532
♀	18.0000000	97.89	134.37	222.70	366.25	496.54	0.3665	0.0305	10.4532

C3

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	0.1666667	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.2500000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.3333333	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.4166667	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.5000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.5833333	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.6666667	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.7500000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.8333333	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.9166667	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	1.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	2.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	5.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	6.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	7.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	8.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	17.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	18.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♂	0.1666667	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.2500000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.3333333	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.4166667	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.5000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.5833333	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.6666667	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.7500000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.8333333	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.9166667	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	1.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	2.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	5.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	6.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	7.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	8.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	17.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	18.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363

C18

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	0.1666667	0.16	0.27	0.53	0.84	1.03	0.4290	0.6372
♀	0.2500000	0.16	0.27	0.53	0.84	1.03	0.4290	0.6372
♀	0.3333333	0.16	0.27	0.53	0.85	1.03	0.4289	0.6372
♀	0.4166667	0.16	0.27	0.53	0.85	1.04	0.4289	0.6372
♀	0.5000000	0.16	0.27	0.53	0.85	1.04	0.4288	0.6372
♀	0.5833333	0.16	0.27	0.53	0.85	1.04	0.4287	0.6372
♀	0.6666667	0.16	0.27	0.53	0.85	1.04	0.4287	0.6372
♀	0.7500000	0.16	0.27	0.53	0.85	1.05	0.4286	0.6372
♀	0.8333333	0.16	0.27	0.53	0.86	1.05	0.4286	0.6372
♀	0.9166667	0.16	0.27	0.54	0.86	1.05	0.4285	0.6372
♀	1.0000000	0.16	0.27	0.54	0.86	1.05	0.4284	0.6372
♀	2.0000000	0.17	0.28	0.56	0.89	1.09	0.4277	0.6372
♀	5.0000000	0.19	0.32	0.62	0.99	1.21	0.4256	0.6372
♀	6.0000000	0.20	0.33	0.65	1.04	1.27	0.4248	0.6372
♀	7.0000000	0.21	0.35	0.69	1.10	1.35	0.4241	0.6372
♀	8.0000000	0.22	0.38	0.73	1.16	1.42	0.4234	0.6372
♀	17.0000000	0.21	0.34	0.66	1.04	1.27	0.4170	0.6372
♀	18.0000000	0.20	0.33	0.64	1.01	1.23	0.4163	0.6372
♂	0.1666667	0.18	0.29	0.57	0.96	1.21	0.4583	0.4738
♂	0.2500000	0.18	0.29	0.57	0.96	1.21	0.4580	0.4738
♂	0.3333333	0.18	0.29	0.57	0.96	1.21	0.4578	0.4738
♂	0.4166667	0.18	0.29	0.57	0.96	1.21	0.4576	0.4738
♂	0.5000000	0.18	0.29	0.57	0.96	1.21	0.4573	0.4738
♂	0.5833333	0.18	0.29	0.57	0.96	1.21	0.4571	0.4738
♂	0.6666667	0.18	0.29	0.58	0.96	1.21	0.4569	0.4738
♂	0.7500000	0.18	0.29	0.58	0.97	1.21	0.4566	0.4738
♂	0.8333333	0.18	0.29	0.58	0.97	1.22	0.4564	0.4738
♂	0.9166667	0.18	0.29	0.58	0.97	1.22	0.4562	0.4738
♂	1.0000000	0.18	0.29	0.58	0.97	1.22	0.4560	0.4738
♂	2.0000000	0.19	0.30	0.59	0.98	1.24	0.4532	0.4738
♂	5.0000000	0.21	0.33	0.64	1.06	1.33	0.4452	0.4738
♂	6.0000000	0.22	0.34	0.66	1.09	1.36	0.4425	0.4738
♂	7.0000000	0.23	0.35	0.68	1.13	1.41	0.4399	0.4738
♂	8.0000000	0.23	0.37	0.70	1.16	1.45	0.4373	0.4738
♂	17.0000000	0.29	0.44	0.81	1.30	1.61	0.4151	0.4738
♂	18.0000000	0.29	0.44	0.81	1.30	1.61	0.4127	0.4738

C18_1

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	0.1666667	0.36	0.52	0.88	1.31	1.56	0.3531	0.5993
♀	0.2500000	0.36	0.51	0.87	1.30	1.55	0.3533	0.5993
♀	0.3333333	0.35	0.51	0.86	1.29	1.54	0.3536	0.5993
♀	0.4166667	0.35	0.51	0.86	1.28	1.53	0.3538	0.5993
♀	0.5000000	0.35	0.50	0.85	1.27	1.52	0.3541	0.5993
♀	0.5833333	0.34	0.50	0.85	1.27	1.51	0.3543	0.5993
♀	0.6666667	0.34	0.50	0.84	1.26	1.50	0.3546	0.5993
♀	0.7500000	0.34	0.49	0.84	1.25	1.50	0.3548	0.5993
♀	0.8333333	0.34	0.49	0.83	1.24	1.49	0.3551	0.5993
♀	0.9166667	0.34	0.49	0.83	1.24	1.48	0.3553	0.5993
♀	1.0000000	0.33	0.48	0.82	1.23	1.47	0.3556	0.5993
♀	2.0000000	0.32	0.46	0.78	1.18	1.41	0.3587	0.5993
♀	5.0000000	0.32	0.47	0.82	1.25	1.50	0.3680	0.5993
♀	6.0000000	0.33	0.49	0.87	1.32	1.58	0.3712	0.5993
♀	7.0000000	0.35	0.52	0.91	1.39	1.68	0.3744	0.5993
♀	8.0000000	0.36	0.54	0.96	1.47	1.77	0.3777	0.5993
♀	17.0000000	0.32	0.51	0.96	1.51	1.84	0.4086	0.5993
♀	18.0000000	0.30	0.48	0.91	1.44	1.76	0.4123	0.5993
♂	0.1666667	0.28	0.50	1.02	1.65	2.01	0.4407	0.6783
♂	0.2500000	0.28	0.50	1.01	1.63	1.99	0.4401	0.6783
♂	0.3333333	0.28	0.49	1.00	1.61	1.97	0.4396	0.6783
♂	0.4166667	0.27	0.49	0.99	1.59	1.94	0.4391	0.6783
♂	0.5000000	0.27	0.48	0.98	1.57	1.92	0.4385	0.6783
♂	0.5833333	0.27	0.48	0.96	1.55	1.90	0.4380	0.6783
♂	0.6666667	0.27	0.47	0.95	1.53	1.88	0.4375	0.6783
♂	0.7500000	0.26	0.47	0.94	1.52	1.85	0.4369	0.6783
♂	0.8333333	0.26	0.46	0.93	1.50	1.83	0.4364	0.6783
♂	0.9166667	0.26	0.46	0.92	1.48	1.81	0.4359	0.6783
♂	1.0000000	0.26	0.45	0.91	1.47	1.79	0.4354	0.6783
♂	2.0000000	0.24	0.41	0.82	1.31	1.60	0.4291	0.6783
♂	5.0000000	0.26	0.43	0.83	1.30	1.57	0.4108	0.6783
♂	6.0000000	0.28	0.46	0.88	1.37	1.66	0.4049	0.6783
♂	7.0000000	0.31	0.50	0.94	1.45	1.76	0.3992	0.6783
♂	8.0000000	0.33	0.53	0.98	1.51	1.82	0.3935	0.6783
♂	17.0000000	0.48	0.70	1.19	1.75	2.07	0.3460	0.6783
♂	18.0000000	0.48	0.70	1.17	1.72	2.03	0.3412	0.6783

C16

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	0.48	0.70	1.26	2.00	2.48	0.4036	0.4405
♂	0.2500000	0.47	0.69	1.25	1.98	2.45	0.4033	0.4405
♂	0.3333333	0.47	0.69	1.23	1.96	2.43	0.4030	0.4405
♂	0.4166667	0.46	0.68	1.22	1.94	2.40	0.4026	0.4405
♂	0.5000000	0.46	0.67	1.21	1.92	2.38	0.4023	0.4405
♂	0.5833333	0.45	0.67	1.20	1.90	2.35	0.4020	0.4405
♂	0.6666667	0.45	0.66	1.19	1.88	2.33	0.4017	0.4405
♂	0.7500000	0.45	0.66	1.17	1.87	2.31	0.4013	0.4405
♂	0.8333333	0.44	0.65	1.16	1.85	2.28	0.4010	0.4405
♂	0.9166667	0.44	0.64	1.15	1.83	2.26	0.4007	0.4405
♂	1.0000000	0.44	0.64	1.14	1.81	2.24	0.4004	0.4405
♂	2.0000000	0.40	0.59	1.05	1.66	2.05	0.3965	0.4405
♂	5.0000000	0.40	0.57	1.00	1.56	1.92	0.3853	0.4405
♂	6.0000000	0.41	0.59	1.02	1.59	1.95	0.3816	0.4405
♂	7.0000000	0.43	0.60	1.04	1.62	1.98	0.3780	0.4405
♂	8.0000000	0.44	0.62	1.06	1.63	2.00	0.3744	0.4405
♂	17.0000000	0.51	0.69	1.13	1.70	2.05	0.3438	0.4405
♂	18.0000000	0.50	0.68	1.11	1.65	1.99	0.3406	0.4405
♀	0.1666667	0.50	0.71	1.21	1.83	2.21	0.3600	0.5253
♀	0.2500000	0.50	0.71	1.20	1.81	2.18	0.3600	0.5253
♀	0.3333333	0.49	0.70	1.19	1.80	2.16	0.3601	0.5253
♀	0.4166667	0.49	0.69	1.18	1.78	2.15	0.3601	0.5253
♀	0.5000000	0.48	0.69	1.17	1.76	2.13	0.3602	0.5253
♀	0.5833333	0.48	0.68	1.16	1.75	2.11	0.3602	0.5253
♀	0.6666667	0.47	0.68	1.15	1.73	2.09	0.3602	0.5253
♀	0.7500000	0.47	0.67	1.14	1.72	2.07	0.3603	0.5253
♀	0.8333333	0.47	0.66	1.13	1.70	2.05	0.3603	0.5253
♀	0.9166667	0.46	0.66	1.12	1.69	2.04	0.3604	0.5253
♀	1.0000000	0.46	0.65	1.11	1.67	2.02	0.3604	0.5253
♀	2.0000000	0.42	0.60	1.02	1.54	1.85	0.3610	0.5253
♀	5.0000000	0.39	0.56	0.95	1.44	1.74	0.3626	0.5253
♀	6.0000000	0.40	0.58	0.98	1.49	1.80	0.3631	0.5253
♀	7.0000000	0.42	0.60	1.03	1.56	1.88	0.3637	0.5253
♀	8.0000000	0.43	0.62	1.05	1.60	1.93	0.3643	0.5253
♀	17.0000000	0.38	0.54	0.94	1.43	1.74	0.3696	0.5253
♀	18.0000000	0.36	0.52	0.89	1.37	1.65	0.3703	0.5253

MEHIS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	0.50	0.78	1.58	2.79	3.64	0.4905	0.3281
♂	0.2500000	0.51	0.79	1.60	2.84	3.69	0.4901	0.3281
♂	0.3333333	0.51	0.81	1.63	2.88	3.75	0.4896	0.3281
♂	0.4166667	0.52	0.82	1.65	2.92	3.80	0.4891	0.3281
♂	0.5000000	0.53	0.83	1.68	2.97	3.86	0.4886	0.3281
♂	0.5833333	0.54	0.85	1.70	3.01	3.92	0.4882	0.3281
♂	0.6666667	0.55	0.86	1.73	3.06	3.97	0.4877	0.3281
♂	0.7500000	0.56	0.87	1.76	3.10	4.03	0.4872	0.3281
♂	0.8333333	0.57	0.89	1.78	3.15	4.09	0.4867	0.3281
♂	0.9166667	0.58	0.90	1.81	3.19	4.15	0.4863	0.3281
♂	1.0000000	0.59	0.92	1.84	3.24	4.21	0.4858	0.3281
♂	2.0000000	0.70	1.08	2.15	3.77	4.89	0.4802	0.3281
♂	5.0000000	1.02	1.55	3.01	5.17	6.66	0.4637	0.3281
♂	6.0000000	1.14	1.72	3.31	5.66	7.27	0.4583	0.3281
♂	7.0000000	1.26	1.90	3.61	6.14	7.87	0.4530	0.3281
♂	8.0000000	1.37	2.05	3.87	6.55	8.37	0.4478	0.3281
♂	17.0000000	2.12	3.00	5.29	8.53	10.69	0.4037	0.3281
♂	18.0000000	2.25	3.17	5.54	8.90	11.12	0.3991	0.3281
♀	0.1666667	0.57	0.87	1.67	2.84	3.63	0.4549	0.3438
♀	0.2500000	0.58	0.88	1.68	2.87	3.67	0.4548	0.3438
♀	0.3333333	0.59	0.89	1.70	2.90	3.71	0.4548	0.3438
♀	0.4166667	0.59	0.90	1.72	2.93	3.74	0.4547	0.3438
♀	0.5000000	0.60	0.91	1.74	2.96	3.78	0.4546	0.3438
♀	0.5833333	0.61	0.92	1.76	2.99	3.82	0.4545	0.3438
♀	0.6666667	0.61	0.93	1.78	3.02	3.86	0.4544	0.3438
♀	0.7500000	0.62	0.94	1.80	3.05	3.91	0.4543	0.3438
♀	0.8333333	0.63	0.95	1.82	3.09	3.95	0.4542	0.3438
♀	0.9166667	0.63	0.96	1.84	3.12	3.99	0.4541	0.3438
♀	1.0000000	0.64	0.97	1.86	3.15	4.03	0.4540	0.3438
♀	2.0000000	0.74	1.11	2.12	3.60	4.60	0.4530	0.3438
♀	5.0000000	1.11	1.67	3.17	5.36	6.84	0.4498	0.3438
♀	6.0000000	1.21	1.81	3.44	5.81	7.41	0.4488	0.3438
♀	7.0000000	1.27	1.91	3.61	6.10	7.77	0.4478	0.3438
♀	8.0000000	1.31	1.97	3.72	6.27	8.00	0.4468	0.3438
♀	17.0000000	1.61	2.39	4.46	7.46	9.47	0.4381	0.3438
♀	18.0000000	1.59	2.36	4.39	7.33	9.31	0.4371	0.3438

MMA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	0.1666667	0.19	0.29	0.56	0.93	1.17	0.4457	0.4073
♀	0.2500000	0.19	0.29	0.56	0.93	1.17	0.4460	0.4073
♀	0.3333333	0.19	0.29	0.56	0.93	1.17	0.4463	0.4073
♀	0.4166667	0.19	0.29	0.56	0.93	1.17	0.4466	0.4073
♀	0.5000000	0.19	0.29	0.56	0.93	1.17	0.4468	0.4073
♀	0.5833333	0.19	0.29	0.56	0.93	1.17	0.4471	0.4073
♀	0.6666667	0.19	0.29	0.56	0.93	1.17	0.4474	0.4073
♀	0.7500000	0.19	0.29	0.56	0.93	1.18	0.4477	0.4073
♀	0.8333333	0.19	0.29	0.56	0.93	1.18	0.4479	0.4073
♀	0.9166667	0.19	0.29	0.56	0.93	1.18	0.4482	0.4073
♀	1.0000000	0.19	0.29	0.56	0.93	1.18	0.4485	0.4073
♀	2.0000000	0.19	0.29	0.56	0.93	1.18	0.4519	0.4073
♀	5.0000000	0.18	0.28	0.56	0.94	1.20	0.4621	0.4073
♀	6.0000000	0.18	0.28	0.56	0.95	1.21	0.4656	0.4073
♀	7.0000000	0.18	0.28	0.56	0.95	1.21	0.4691	0.4073
♀	8.0000000	0.17	0.28	0.56	0.95	1.22	0.4727	0.4073
♀	17.0000000	0.16	0.26	0.56	0.99	1.28	0.5062	0.4073
♀	18.0000000	0.15	0.26	0.56	0.99	1.28	0.5101	0.4073
♂	0.1666667	0.21	0.31	0.59	1.00	1.28	0.4530	0.3220
♂	0.2500000	0.21	0.31	0.59	1.00	1.28	0.4530	0.3220
♂	0.3333333	0.21	0.31	0.59	1.00	1.28	0.4531	0.3220
♂	0.4166667	0.21	0.31	0.59	1.00	1.28	0.4532	0.3220
♂	0.5000000	0.21	0.31	0.59	1.00	1.28	0.4532	0.3220
♂	0.5833333	0.21	0.31	0.59	1.00	1.28	0.4533	0.3220
♂	0.6666667	0.21	0.31	0.59	1.00	1.28	0.4534	0.3220
♂	0.7500000	0.21	0.31	0.59	1.00	1.28	0.4535	0.3220
♂	0.8333333	0.21	0.31	0.59	1.00	1.28	0.4535	0.3220
♂	0.9166667	0.21	0.31	0.59	1.00	1.28	0.4536	0.3220
♂	1.0000000	0.21	0.31	0.59	1.00	1.28	0.4537	0.3220
♂	2.0000000	0.21	0.31	0.59	1.00	1.29	0.4545	0.3220
♂	5.0000000	0.20	0.31	0.59	1.00	1.29	0.4571	0.3220
♂	6.0000000	0.20	0.31	0.59	1.01	1.29	0.4579	0.3220
♂	7.0000000	0.20	0.31	0.59	1.01	1.29	0.4588	0.3220
♂	8.0000000	0.20	0.31	0.59	1.01	1.30	0.4597	0.3220
♂	17.0000000	0.20	0.30	0.59	1.02	1.31	0.4683	0.3220
♂	18.0000000	0.20	0.30	0.59	1.02	1.31	0.4693	0.3220

Q1

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	1.60	1.81	2.33	3.13	3.72	0.2117	-0.5129
♂	0.2500000	1.60	1.81	2.34	3.13	3.72	0.2115	-0.5129
♂	0.3333333	1.61	1.82	2.34	3.13	3.73	0.2113	-0.5129
♂	0.4166667	1.61	1.82	2.34	3.13	3.73	0.2112	-0.5129
♂	0.5000000	1.61	1.82	2.34	3.14	3.73	0.2110	-0.5129
♂	0.5833333	1.61	1.82	2.35	3.14	3.73	0.2108	-0.5129
♂	0.6666667	1.62	1.82	2.35	3.14	3.74	0.2106	-0.5129
♂	0.7500000	1.62	1.83	2.35	3.14	3.74	0.2105	-0.5129
♂	0.8333333	1.62	1.83	2.35	3.15	3.74	0.2103	-0.5129
♂	0.9166667	1.62	1.83	2.36	3.15	3.74	0.2101	-0.5129
♂	1.0000000	1.62	1.83	2.36	3.15	3.75	0.2100	-0.5129
♂	2.0000000	1.65	1.86	2.39	3.19	3.78	0.2079	-0.5129
♂	5.0000000	1.73	1.94	2.48	3.27	3.86	0.2019	-0.5129
♂	6.0000000	1.74	1.96	2.49	3.28	3.86	0.1999	-0.5129
♂	7.0000000	1.75	1.96	2.49	3.27	3.84	0.1980	-0.5129
♂	8.0000000	1.75	1.97	2.49	3.26	3.82	0.1960	-0.5129
♂	17.0000000	1.90	2.11	2.63	3.36	3.87	0.1796	-0.5129
♂	18.0000000	1.92	2.14	2.65	3.38	3.89	0.1779	-0.5129
♀	0.1666667	1.56	1.76	2.27	3.06	3.66	0.2136	-0.5561
♀	0.2500000	1.56	1.76	2.28	3.06	3.66	0.2134	-0.5561
♀	0.3333333	1.57	1.77	2.28	3.06	3.67	0.2131	-0.5561
♀	0.4166667	1.57	1.77	2.28	3.07	3.67	0.2129	-0.5561
♀	0.5000000	1.57	1.77	2.29	3.07	3.67	0.2127	-0.5561
♀	0.5833333	1.58	1.78	2.29	3.08	3.68	0.2124	-0.5561
♀	0.6666667	1.58	1.78	2.29	3.08	3.68	0.2122	-0.5561
♀	0.7500000	1.58	1.79	2.30	3.09	3.69	0.2119	-0.5561
♀	0.8333333	1.59	1.79	2.30	3.09	3.69	0.2117	-0.5561
♀	0.9166667	1.59	1.79	2.31	3.09	3.69	0.2114	-0.5561
♀	1.0000000	1.59	1.80	2.31	3.10	3.70	0.2112	-0.5561
♀	2.0000000	1.63	1.84	2.36	3.15	3.75	0.2083	-0.5561
♀	5.0000000	1.72	1.93	2.45	3.23	3.81	0.2000	-0.5561
♀	6.0000000	1.73	1.94	2.46	3.22	3.80	0.1972	-0.5561
♀	7.0000000	1.74	1.94	2.46	3.21	3.77	0.1946	-0.5561
♀	8.0000000	1.74	1.95	2.45	3.20	3.74	0.1919	-0.5561
♀	17.0000000	1.85	2.04	2.51	3.16	3.62	0.1699	-0.5561
♀	18.0000000	1.86	2.06	2.52	3.17	3.62	0.1676	-0.5561

Q2

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	0.02	0.03	0.06	0.10	0.13	0.4218	0.2690
♂	0.2500000	0.02	0.03	0.06	0.10	0.13	0.4216	0.2690
♂	0.3333333	0.02	0.04	0.06	0.10	0.13	0.4213	0.2690
♂	0.4166667	0.02	0.04	0.06	0.10	0.13	0.4211	0.2690
♂	0.5000000	0.02	0.04	0.06	0.10	0.13	0.4208	0.2690
♂	0.5833333	0.02	0.04	0.06	0.10	0.13	0.4205	0.2690
♂	0.6666667	0.03	0.04	0.06	0.11	0.13	0.4203	0.2690
♂	0.7500000	0.03	0.04	0.06	0.11	0.13	0.4200	0.2690
♂	0.8333333	0.03	0.04	0.06	0.11	0.13	0.4197	0.2690
♂	0.9166667	0.03	0.04	0.06	0.11	0.13	0.4195	0.2690
♂	1.0000000	0.03	0.04	0.06	0.11	0.13	0.4192	0.2690
♂	2.0000000	0.03	0.04	0.07	0.11	0.14	0.4161	0.2690
♂	5.0000000	0.03	0.04	0.07	0.11	0.14	0.4069	0.2690
♂	6.0000000	0.03	0.04	0.07	0.11	0.14	0.4039	0.2690
♂	7.0000000	0.03	0.04	0.07	0.11	0.14	0.4010	0.2690
♂	8.0000000	0.03	0.04	0.07	0.11	0.14	0.3980	0.2690
♂	17.0000000	0.03	0.04	0.06	0.10	0.12	0.3726	0.2690
♂	18.0000000	0.03	0.04	0.06	0.10	0.12	0.3699	0.2690
♀	0.1666667	0.03	0.03	0.06	0.09	0.12	0.3804	0.3494
♀	0.2500000	0.03	0.03	0.06	0.09	0.12	0.3804	0.3494
♀	0.3333333	0.03	0.03	0.06	0.09	0.12	0.3804	0.3494
♀	0.4166667	0.03	0.04	0.06	0.09	0.12	0.3805	0.3494
♀	0.5000000	0.03	0.04	0.06	0.09	0.12	0.3805	0.3494
♀	0.5833333	0.03	0.04	0.06	0.09	0.12	0.3805	0.3494
♀	0.6666667	0.03	0.04	0.06	0.09	0.12	0.3805	0.3494
♀	0.7500000	0.03	0.04	0.06	0.09	0.12	0.3805	0.3494
♀	0.8333333	0.03	0.04	0.06	0.09	0.12	0.3806	0.3494
♀	0.9166667	0.03	0.04	0.06	0.10	0.12	0.3806	0.3494
♀	1.0000000	0.03	0.04	0.06	0.10	0.12	0.3806	0.3494
♀	2.0000000	0.03	0.04	0.06	0.10	0.12	0.3809	0.3494
♀	5.0000000	0.03	0.04	0.07	0.10	0.13	0.3817	0.3494
♀	6.0000000	0.03	0.04	0.07	0.10	0.13	0.3820	0.3494
♀	7.0000000	0.03	0.04	0.07	0.10	0.13	0.3823	0.3494
♀	8.0000000	0.03	0.04	0.06	0.10	0.13	0.3826	0.3494
♀	17.0000000	0.02	0.03	0.06	0.09	0.11	0.3855	0.3494
♀	18.0000000	0.02	0.03	0.05	0.09	0.11	0.3859	0.3494

Q3

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	0.05	0.07	0.12	0.19	0.24	0.3803	0.2382
♂	0.2500000	0.05	0.07	0.12	0.19	0.24	0.3799	0.2382
♂	0.3333333	0.05	0.07	0.12	0.19	0.24	0.3795	0.2382
♂	0.4166667	0.05	0.07	0.12	0.19	0.24	0.3791	0.2382
♂	0.5000000	0.05	0.07	0.12	0.19	0.24	0.3787	0.2382
♂	0.5833333	0.05	0.07	0.12	0.19	0.24	0.3783	0.2382
♂	0.6666667	0.05	0.07	0.12	0.19	0.24	0.3779	0.2382
♂	0.7500000	0.05	0.07	0.12	0.19	0.24	0.3775	0.2382
♂	0.8333333	0.05	0.07	0.12	0.19	0.24	0.3771	0.2382
♂	0.9166667	0.05	0.07	0.12	0.19	0.24	0.3767	0.2382
♂	1.0000000	0.05	0.07	0.12	0.19	0.24	0.3763	0.2382
♂	2.0000000	0.06	0.07	0.12	0.19	0.24	0.3716	0.2382
♂	5.0000000	0.06	0.08	0.13	0.20	0.25	0.3578	0.2382
♂	6.0000000	0.06	0.08	0.13	0.20	0.25	0.3534	0.2382
♂	7.0000000	0.06	0.08	0.13	0.20	0.24	0.3490	0.2382
♂	8.0000000	0.06	0.08	0.13	0.20	0.24	0.3446	0.2382
♂	17.0000000	0.07	0.08	0.13	0.19	0.22	0.3081	0.2382
♂	18.0000000	0.07	0.08	0.13	0.18	0.22	0.3043	0.2382
♀	0.1666667	0.05	0.07	0.11	0.17	0.20	0.3426	0.2958
♀	0.2500000	0.05	0.07	0.11	0.17	0.20	0.3426	0.2958
♀	0.3333333	0.05	0.07	0.11	0.17	0.20	0.3425	0.2958
♀	0.4166667	0.05	0.07	0.11	0.17	0.21	0.3424	0.2958
♀	0.5000000	0.05	0.07	0.11	0.17	0.21	0.3424	0.2958
♀	0.5833333	0.05	0.07	0.11	0.17	0.21	0.3423	0.2958
♀	0.6666667	0.05	0.07	0.11	0.17	0.21	0.3423	0.2958
♀	0.7500000	0.05	0.07	0.11	0.17	0.21	0.3422	0.2958
♀	0.8333333	0.05	0.07	0.11	0.17	0.21	0.3421	0.2958
♀	0.9166667	0.05	0.07	0.11	0.17	0.21	0.3421	0.2958
♀	1.0000000	0.05	0.07	0.11	0.17	0.21	0.3420	0.2958
♀	2.0000000	0.06	0.07	0.12	0.18	0.21	0.3412	0.2958
♀	5.0000000	0.06	0.08	0.12	0.18	0.22	0.3390	0.2958
♀	6.0000000	0.06	0.08	0.12	0.19	0.23	0.3382	0.2958
♀	7.0000000	0.06	0.08	0.12	0.19	0.23	0.3375	0.2958
♀	8.0000000	0.06	0.08	0.12	0.19	0.23	0.3368	0.2958
♀	17.0000000	0.06	0.07	0.11	0.17	0.21	0.3306	0.2958
♀	18.0000000	0.05	0.07	0.11	0.17	0.20	0.3299	0.2958

Q4

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	9.02	11.29	17.75	29.09	38.55	0.3683	-0.1876
♂	0.2500000	8.97	11.24	17.66	28.94	38.32	0.3682	-0.1850
♂	0.3333333	8.93	11.18	17.58	28.79	38.10	0.3681	-0.1824
♂	0.4166667	8.88	11.13	17.50	28.64	37.87	0.3679	-0.1798
♂	0.5000000	8.83	11.07	17.41	28.48	37.65	0.3678	-0.1772
♂	0.5833333	8.79	11.02	17.33	28.33	37.43	0.3677	-0.1746
♂	0.6666667	8.74	10.96	17.24	28.18	37.20	0.3676	-0.1720
♂	0.7500000	8.70	10.91	17.16	28.02	36.98	0.3674	-0.1694
♂	0.8333333	8.65	10.85	17.07	27.87	36.76	0.3673	-0.1668
♂	0.9166667	8.60	10.79	16.98	27.72	36.53	0.3672	-0.1642
♂	1.0000000	8.56	10.74	16.90	27.56	36.31	0.3671	-0.1616
♂	2.0000000	7.99	10.06	15.86	25.72	33.66	0.3656	-0.1305
♂	5.0000000	6.82	8.67	13.73	21.90	28.14	0.3613	-0.0372
♂	6.0000000	6.72	8.57	13.58	21.56	27.54	0.3599	-0.0060
♂	7.0000000	6.74	8.63	13.70	21.63	27.49	0.3585	0.0251
♂	8.0000000	6.87	8.82	14.02	22.03	27.86	0.3572	0.0562
♂	17.0000000	6.65	8.88	14.34	21.66	26.39	0.3453	0.3363
♂	18.0000000	6.82	9.15	14.79	22.26	27.02	0.3440	0.3674
♀	0.1666667	10.13	12.37	18.52	28.94	37.40	0.3305	-0.2350
♀	0.2500000	10.06	12.28	18.39	28.73	37.12	0.3306	-0.2326
♀	0.3333333	9.98	12.19	18.27	28.53	36.85	0.3306	-0.2301
♀	0.4166667	9.91	12.10	18.14	28.33	36.58	0.3307	-0.2277
♀	0.5000000	9.84	12.02	18.02	28.13	36.31	0.3307	-0.2253
♀	0.5833333	9.77	11.93	17.89	27.93	36.04	0.3308	-0.2228
♀	0.6666667	9.69	11.85	17.77	27.73	35.77	0.3308	-0.2204
♀	0.7500000	9.62	11.76	17.65	27.54	35.51	0.3309	-0.2179
♀	0.8333333	9.55	11.68	17.53	27.35	35.25	0.3309	-0.2155
♀	0.9166667	9.48	11.60	17.41	27.15	34.99	0.3310	-0.2130
♀	1.0000000	9.41	11.52	17.29	26.97	34.74	0.3310	-0.2106
♀	2.0000000	8.67	10.64	16.02	24.93	31.99	0.3316	-0.1813
♀	5.0000000	7.44	9.22	14.03	21.70	27.53	0.3335	-0.0934
♀	6.0000000	7.24	9.02	13.76	21.24	26.87	0.3341	-0.0641
♀	7.0000000	7.16	8.95	13.70	21.11	26.61	0.3348	-0.0348
♀	8.0000000	7.17	9.00	13.82	21.26	26.71	0.3354	-0.0055
♀	17.0000000	6.80	8.91	14.18	21.46	26.29	0.3416	0.2583
♀	18.0000000	6.82	8.99	14.36	21.71	26.53	0.3423	0.2876

momo.ref

Citations

• Niessner C, Utesch T, Oriwol D, et al. Representative Percentile Curves of Physical Fitness From Early Childhood to Early Adulthood: The MoMo Study. Front Public Health 2020;8. Available from: https://www.frontiersin.org/articles/10.3389/fpubh.2020.00458/full?report=reader

BALANCE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	6.53	9.86	17.75	27.63	33.63	0.5564	0.3914
♀	6	7.89	12.49	22.23	32.99	39.02	0.7908	0.3615
♀	7	9.37	15.22	26.44	37.65	43.58	1.0076	0.3321
♀	8	11.11	17.96	30.13	41.41	47.13	1.2066	0.3035
♀	9	13.06	20.59	33.17	44.20	49.63	1.3895	0.2765
♀	10	15.07	22.95	35.51	46.06	51.13	1.5592	0.2517
♀	11	16.97	24.95	37.17	47.11	51.81	1.7200	0.2296
♀	12	18.65	26.57	38.30	47.59	51.91	1.8816	0.2105
♀	13	20.03	27.84	39.06	47.71	51.69	2.0568	0.1944
♀	14	21.12	28.83	39.58	47.65	51.31	2.2511	0.1812
♀	15	22.02	29.64	40.00	47.58	50.97	2.4580	0.1704
♀	16	22.82	30.38	40.40	47.56	50.73	2.6650	0.1614
♀	17	23.62	31.08	40.80	47.61	50.59	2.8660	0.1534
♀	18	24.43	31.80	41.24	47.73	50.55	3.0642	0.1461
♀	19	25.26	32.52	41.67	47.88	50.55	3.2633	0.1392
♀	20	26.10	33.23	42.09	48.02	50.56	3.4625	0.1326
♀	21	26.97	33.94	42.50	48.17	50.58	3.6603	0.1260
♀	22	27.87	34.65	42.88	48.29	50.58	3.8561	0.1195
♂	5	3.24	6.33	14.45	25.23	31.93	0.5762	0.5130
♂	6	4.57	8.71	18.60	30.61	37.68	0.6843	0.4633
♂	7	6.19	11.36	22.65	35.25	42.32	0.8066	0.4152
♂	8	8.08	14.19	26.44	39.09	45.88	0.9479	0.3698
♂	9	10.10	16.98	29.71	41.91	48.21	1.1164	0.3283
♂	10	12.13	19.54	32.26	43.68	49.36	1.3078	0.2914
♂	11	14.08	21.76	34.17	44.71	49.80	1.5116	0.2601
♂	12	15.81	23.61	35.59	45.33	49.92	1.7145	0.2353
♂	13	17.23	25.07	36.66	45.76	49.97	1.9034	0.2168
♂	14	18.41	26.24	37.48	46.09	50.03	2.0626	0.2030
♂	15	19.46	27.22	38.17	46.41	50.15	2.1856	0.1921
♂	16	20.35	28.05	38.74	46.71	50.30	2.2825	0.1837
♂	17	21.05	28.67	39.14	46.89	50.37	2.3582	0.1772
♂	18	21.54	29.08	39.36	46.93	50.32	2.4152	0.1724
♂	19	21.78	29.28	39.46	46.92	50.26	2.4593	0.1699
♂	20	21.72	29.27	39.46	46.89	50.20	2.4947	0.1697
♂	21	21.42	29.07	39.39	46.85	50.17	2.5246	0.1717
♂	22	20.98	28.79	39.31	46.85	50.19	2.5518	0.1752

PUSHUPS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	7	4.58	6.33	9.97	13.96	16.20	0.7595	0.2997
♂	8	5.00	6.93	10.85	15.06	17.39	0.8122	0.2933
♂	9	5.34	7.43	11.61	16.00	18.40	0.8604	0.2887
♂	10	5.54	7.78	12.15	16.65	19.07	0.9207	0.2854
♂	11	5.67	8.04	12.55	17.07	19.48	0.9891	0.2810
♂	12	5.91	8.36	12.93	17.43	19.79	1.0416	0.2735
♂	13	6.32	8.80	13.38	17.85	20.18	1.0678	0.2637
♂	14	6.84	9.33	13.93	18.40	20.73	1.0803	0.2535
♂	15	7.38	9.90	14.53	19.02	21.36	1.0930	0.2444
♂	16	7.93	10.48	15.14	19.66	22.01	1.1043	0.2361
♂	17	8.50	11.05	15.72	20.25	22.61	1.1042	0.2279
♂	18	9.01	11.56	16.23	20.76	23.11	1.1024	0.2208
♂	19	9.39	11.95	16.64	21.18	23.53	1.1158	0.2159
♂	20	9.62	12.24	16.99	21.53	23.88	1.1548	0.2128
♂	21	9.71	12.45	17.31	21.88	24.21	1.2213	0.2116
♂	22	9.68	12.58	17.58	22.17	24.48	1.3108	0.2115
♀	6	4.83	6.48	9.74	13.14	14.97	0.8870	0.2668
♀	7	5.22	6.99	10.50	14.20	16.22	0.8578	0.2686
♀	8	5.59	7.45	11.19	15.17	17.36	0.8239	0.2698
♀	9	5.93	7.86	11.78	16.01	18.34	0.7889	0.2703
♀	10	6.15	8.14	12.19	16.56	18.99	0.7807	0.2705
♀	11	6.21	8.25	12.36	16.76	19.19	0.8115	0.2693
♀	12	6.19	8.28	12.41	16.73	19.08	0.8737	0.2661
♀	13	6.14	8.28	12.40	16.58	18.82	0.9492	0.2615
♀	14	6.11	8.28	12.35	16.40	18.54	1.0168	0.2566
♀	15	6.10	8.29	12.33	16.28	18.34	1.0742	0.2523
♀	16	6.17	8.38	12.42	16.31	18.33	1.1088	0.2486
♀	17	6.32	8.57	12.63	16.55	18.58	1.1189	0.2461
♀	18	6.49	8.77	12.92	16.92	19.00	1.1099	0.2456
♀	19	6.66	8.95	13.17	17.29	19.43	1.0782	0.2465
♀	20	6.87	9.12	13.36	17.59	19.83	1.0083	0.2474
♀	21	7.16	9.32	13.52	17.88	20.23	0.8966	0.2473
♀	22	7.49	9.53	13.69	18.16	20.65	0.7646	0.2466

STANDREACH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	20.06	24.05	30.70	36.59	39.49	1.5844	0.1580
♂	6	19.32	23.56	30.64	36.94	40.06	1.5245	0.1690
♂	7	18.51	22.97	30.48	37.21	40.54	1.4656	0.1807
♂	8	17.61	22.28	30.18	37.31	40.87	1.4023	0.1930
♂	9	16.64	21.44	29.67	37.21	40.99	1.3326	0.2060
♂	10	15.58	20.46	28.99	36.91	40.93	1.2566	0.2203
♂	11	14.51	19.42	28.20	36.52	40.79	1.1742	0.2358
♂	12	13.51	18.44	27.46	36.21	40.75	1.0952	0.2520
♂	13	12.68	17.65	26.95	36.15	41.00	1.0301	0.2677
♂	14	12.06	17.12	26.75	36.43	41.57	0.9857	0.2819
♂	15	11.62	16.83	26.88	37.08	42.52	0.9619	0.2942
♂	16	11.31	16.76	27.31	38.06	43.81	0.9538	0.3048
♂	17	11.05	16.78	27.89	39.17	45.20	0.9632	0.3138
♂	18	10.74	16.80	28.46	40.19	46.42	0.9885	0.3214
♂	19	10.39	16.80	29.01	41.13	47.52	1.0232	0.3281
♂	20	10.00	16.77	29.52	41.98	48.49	1.0650	0.3344
♂	21	9.60	16.70	29.97	42.73	49.31	1.1110	0.3405
♂	22	9.21	16.60	30.38	43.39	50.03	1.1594	0.3467
♀	5	25.52	28.47	33.49	37.99	40.22	1.7522	0.1102
♀	6	24.34	27.82	33.69	38.93	41.52	1.6740	0.1278
♀	7	23.02	27.02	33.75	39.78	42.75	1.5866	0.1463
♀	8	21.68	26.15	33.73	40.54	43.92	1.4889	0.1652
♀	9	20.43	25.32	33.68	41.29	45.10	1.3930	0.1838
♀	10	19.30	24.53	33.60	41.95	46.16	1.3120	0.2011
♀	11	18.42	23.90	33.54	42.55	47.13	1.2399	0.2160
♀	12	17.87	23.50	33.60	43.18	48.11	1.1723	0.2278
♀	13	17.56	23.30	33.73	43.78	48.99	1.1186	0.2365
♀	14	17.38	23.21	33.91	44.32	49.74	1.0874	0.2425
♀	15	17.21	23.16	34.11	44.78	50.35	1.0806	0.2469
♀	16	16.93	23.05	34.23	45.06	50.68	1.1008	0.2503
♀	17	16.48	22.84	34.27	45.17	50.78	1.1455	0.2535
♀	18	15.92	22.56	34.25	45.21	50.79	1.1990	0.2569
♀	19	15.39	22.26	34.22	45.25	50.83	1.2396	0.2608
♀	20	14.99	22.03	34.20	45.37	51.00	1.2552	0.2650
♀	21	14.71	21.85	34.22	45.58	51.32	1.2481	0.2694
♀	22	14.52	21.70	34.26	45.87	51.75	1.2251	0.2742

JUMP_STAND

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	62.10	72.60	90.34	106.23	114.09	1.5855	0.1442
♀	6	70.40	82.63	102.79	120.46	129.10	1.7110	0.1422
♀	7	78.15	91.85	114.13	133.43	142.81	1.7811	0.1406
♀	8	85.16	99.77	123.66	144.43	154.55	1.7651	0.1394
♀	9	91.53	106.41	131.34	153.48	164.39	1.6560	0.1387
♀	10	97.01	111.74	137.31	160.76	172.52	1.4806	0.1386
♀	11	101.35	115.77	141.76	166.49	179.18	1.2755	0.1393
♀	12	104.64	118.75	145.07	171.03	184.65	1.0764	0.1405
♀	13	106.97	120.89	147.54	174.59	189.06	0.9176	0.1421
♀	14	108.43	122.30	149.32	177.30	192.48	0.8096	0.1438
♀	15	109.26	123.18	150.57	179.29	195.00	0.7454	0.1455
♀	16	109.87	123.84	151.54	180.81	196.91	0.7053	0.1468
♀	17	110.59	124.60	152.49	182.14	198.51	0.6770	0.1473
♀	18	111.17	125.30	153.40	183.23	199.68	0.6846	0.1474
♀	19	111.31	125.72	154.12	183.92	200.23	0.7442	0.1475
♀	20	110.82	125.72	154.51	184.04	199.94	0.8658	0.1473
♀	21	109.77	125.39	154.67	183.70	198.99	1.0451	0.1470
♀	22	108.20	124.81	154.69	183.11	197.68	1.2656	0.1467
♂	5	56.67	70.08	92.75	113.15	123.30	1.4494	0.1798
♂	6	65.16	79.67	103.93	125.55	136.24	1.5164	0.1708
♂	7	73.88	89.17	114.67	137.29	148.44	1.5638	0.1623
♂	8	82.62	98.35	124.68	148.10	159.66	1.5806	0.1544
♂	9	90.57	106.67	133.67	157.69	169.54	1.6053	0.1477
♂	10	97.33	114.00	141.74	166.24	178.27	1.6678	0.1425
♂	11	103.02	120.64	149.42	174.42	186.58	1.7755	0.1389
♂	12	108.12	127.13	157.37	183.07	195.43	1.9074	0.1368
♂	13	113.50	134.11	166.12	192.77	205.46	2.0267	0.1356
♂	14	120.15	141.96	175.51	203.23	216.36	2.0847	0.1339
♂	15	128.23	150.38	184.81	213.48	227.11	2.0639	0.1311
♂	16	136.28	158.33	193.13	222.45	236.48	2.0226	0.1277
♂	17	143.27	165.11	200.01	229.70	243.97	1.9928	0.1244
♂	18	148.60	170.38	205.38	235.28	249.67	1.9885	0.1218
♂	19	151.95	174.03	209.40	239.54	254.03	2.0158	0.1205
♂	20	153.54	176.34	212.50	243.04	257.65	2.0664	0.1208
♂	21	153.87	177.74	215.00	246.09	260.88	2.1305	0.1221
♂	22	153.35	178.55	217.12	248.80	263.75	2.2078	0.1240

JUMP_SIDEWAYS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	6.25	8.62	13.42	18.54	21.35	0.8273	0.2889
♀	6	8.37	11.43	17.34	23.39	26.64	0.9345	0.2695
♀	7	10.73	14.36	21.15	27.90	31.45	1.0248	0.2496
♀	8	13.20	17.25	24.64	31.78	35.48	1.1153	0.2295
♀	9	15.67	19.97	27.65	34.91	38.64	1.1978	0.2102
♀	10	17.93	22.33	30.08	37.30	40.97	1.2760	0.1933
♀	11	19.81	24.26	31.97	39.08	42.67	1.3489	0.1800
♀	12	21.32	25.77	33.45	40.47	44.00	1.3989	0.1705
♀	13	22.46	26.91	34.61	41.65	45.18	1.4123	0.1652
♀	14	23.26	27.73	35.50	42.67	46.28	1.3832	0.1634
♀	15	23.85	28.31	36.20	43.58	47.34	1.3083	0.1640
♀	16	24.37	28.79	36.78	44.45	48.40	1.1973	0.1658
♀	17	24.87	29.22	37.31	45.27	49.44	1.0763	0.1677
♀	18	25.28	29.58	37.76	46.00	50.39	0.9669	0.1697
♀	19	25.60	29.87	38.15	46.66	51.25	0.8731	0.1719
♀	20	25.81	30.07	38.48	47.29	52.10	0.7907	0.1747
♀	21	25.92	30.21	38.77	47.91	52.96	0.7193	0.1783
♀	22	25.98	30.30	39.05	48.54	53.84	0.6574	0.1824
♂	5	5.96	7.87	12.14	17.23	20.25	0.5436	0.3010
♂	6	7.97	10.36	15.59	21.68	25.24	0.5812	0.2836
♂	7	10.14	13.02	19.13	26.05	30.02	0.6400	0.2663
♂	8	12.40	15.74	22.62	30.15	34.38	0.7200	0.2491
♂	9	14.57	18.35	25.85	33.74	38.05	0.8303	0.2327
♂	10	16.59	20.76	28.72	36.76	41.05	0.9627	0.2175
♂	11	18.45	22.98	31.29	39.34	43.53	1.1146	0.2037
♂	12	20.08	24.98	33.56	41.54	45.59	1.2906	0.1917
♂	13	21.51	26.74	35.54	43.42	47.34	1.4601	0.1816
♂	14	22.93	28.33	37.19	44.95	48.76	1.5819	0.1726
♂	15	24.37	29.74	38.49	46.10	49.82	1.6481	0.1640
♂	16	25.62	30.93	39.54	47.02	50.66	1.6904	0.1570
♂	17	26.61	31.88	40.42	47.81	51.40	1.7265	0.1520
♂	18	27.32	32.60	41.14	48.50	52.07	1.7626	0.1489
♂	19	27.72	33.11	41.74	49.12	52.68	1.8115	0.1476
♂	20	27.86	33.47	42.30	49.73	53.30	1.8815	0.1478
♂	21	27.78	33.73	42.86	50.40	53.98	1.9723	0.1491
♂	22	27.53	33.91	43.41	51.08	54.68	2.0759	0.1512

motor.ref

Citations

• as from 2020-10-07

SHH_MEAN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	6	7.43	9.63	14.14	20.34	24.29	4.3199	1.4065	16.0745
♂	7	8.87	11.92	17.80	25.32	30.03	5.3859	1.2864	16.0745
♂	8	10.43	14.59	22.07	30.60	35.78	6.4091	1.1363	16.0745
♂	9	12.74	17.78	26.38	34.94	39.94	6.8582	0.9948	16.0745
♂	10	15.64	21.13	30.20	38.34	42.90	6.8879	0.8990	16.0745
♂	11	17.46	23.32	32.86	41.00	45.44	7.0824	0.8529	16.0745
♂	12	18.43	24.62	34.70	43.22	47.87	7.4534	0.8468	16.0745
♂	13	20.30	26.47	36.57	45.30	50.12	7.5442	0.8664	16.0745
♂	14	23.39	29.11	38.57	47.13	51.95	7.2120	0.9064	16.0745
♂	15	26.47	31.69	40.47	48.81	53.61	6.8465	0.9519	16.0745
♂	16	28.40	33.30	41.66	50.03	54.92	6.6889	0.9999	16.0745
♂	17	29.35	34.07	42.28	50.93	56.09	6.7435	1.0529	16.0745
♂	18	29.71	34.32	42.53	51.71	57.26	6.9594	1.1144	16.0745
♀	6	7.11	9.20	14.21	21.69	26.34	5.0025	1.6233	26.0357
♀	7	10.11	13.04	19.12	27.17	32.05	5.6259	1.3597	26.0357
♀	8	12.75	16.59	23.79	31.96	36.74	6.0880	1.1388	26.0357
♀	9	15.02	19.60	27.67	35.60	40.04	6.3345	0.9819	26.0357
♀	10	17.02	21.99	30.54	38.25	42.41	6.4372	0.8995	26.0357
♀	11	18.60	23.76	32.57	40.26	44.35	6.5368	0.8700	26.0357
♀	12	20.16	25.37	34.28	42.13	46.33	6.6424	0.8780	26.0357
♀	13	22.26	27.28	35.97	44.00	48.38	6.6211	0.9220	26.0357
♀	14	24.35	29.07	37.41	45.55	50.10	6.5212	0.9775	26.0357
♀	15	25.83	30.32	38.33	46.42	50.99	6.3716	1.0101	26.0357
♀	16	26.86	31.16	38.86	46.74	51.22	6.1685	1.0241	26.0357
♀	17	27.36	31.45	38.83	46.48	50.83	5.9452	1.0372	26.0357
♀	18	27.45	31.32	38.34	45.75	50.00	5.7126	1.0568	26.0357

SW_BEST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	6	60.51	76.51	101.38	122.22	132.19	0.1731	1.7786
♂	7	67.16	83.72	109.95	132.27	143.04	0.1699	1.7232
♂	8	74.09	91.06	118.41	142.02	153.49	0.1659	1.6767
♂	9	82.18	99.01	126.67	150.89	162.75	0.1582	1.6397
♂	10	89.73	106.62	134.77	159.70	171.97	0.1523	1.6098
♂	11	95.50	113.21	142.93	169.41	182.48	0.1521	1.5811
♂	12	100.60	119.50	151.37	179.90	194.03	0.1545	1.5498
♂	13	106.03	126.12	160.23	190.94	206.20	0.1567	1.5126
♂	14	113.05	133.83	169.48	201.91	218.12	0.1558	1.4669
♂	15	122.76	143.25	179.01	212.02	228.65	0.1492	1.4133
♂	16	133.78	153.56	188.68	221.60	238.33	0.1402	1.3550
♂	17	145.04	164.06	198.37	231.00	247.73	0.1314	1.2942
♂	18	156.44	174.70	208.06	240.21	256.82	0.1227	1.2334
♀	6	62.14	77.16	101.28	122.06	132.14	0.1708	1.6675
♀	7	68.92	83.90	108.91	131.14	142.12	0.1677	1.5364
♀	8	75.58	90.56	116.36	139.92	151.72	0.1645	1.4232
♀	9	81.46	96.66	123.37	148.24	160.84	0.1624	1.3399
♀	10	85.83	101.63	129.76	156.23	169.73	0.1636	1.2856
♀	11	89.65	106.02	135.39	163.25	177.52	0.1645	1.2476
♀	12	93.92	110.40	140.23	168.76	183.45	0.1620	1.2110
♀	13	97.62	114.15	144.30	173.39	188.44	0.1599	1.1741
♀	14	100.82	117.34	147.67	177.12	192.42	0.1577	1.1452
♀	15	103.70	120.15	150.44	179.92	195.26	0.1549	1.1345
♀	16	105.96	122.43	152.75	182.23	197.55	0.1525	1.1423
♀	17	107.91	124.45	154.78	184.18	199.44	0.1504	1.1612
♀	18	110.18	126.63	156.71	185.74	200.77	0.1469	1.1842

RB_BEST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	6	-12.86	-9.24	-1.78	6.41	10.76	6.6213	1.1131	1.0166
♂	7	-14.32	-10.50	-2.67	5.80	10.23	6.9740	1.1131	1.0334
♂	8	-15.68	-11.66	-3.43	5.31	9.83	7.3455	1.1131	1.0505
♂	9	-17.04	-12.81	-4.15	4.88	9.48	7.7367	1.1131	1.0679
♂	10	-18.50	-14.03	-4.94	4.39	9.09	8.1488	1.1131	1.0856
♂	11	-19.86	-15.16	-5.60	4.04	8.83	8.5829	1.1131	1.1035
♂	12	-21.14	-16.18	-6.14	3.83	8.71	9.0400	1.1131	1.1218
♂	13	-21.83	-16.61	-6.05	4.25	9.24	9.5216	1.1131	1.1404
♂	14	-21.72	-16.21	-5.12	5.53	10.62	10.0287	1.1131	1.1592
♂	15	-21.19	-15.38	-3.72	7.29	12.48	10.5629	1.1131	1.1784
♂	16	-20.93	-14.81	-2.56	8.82	14.13	11.1256	1.1131	1.1979
♂	17	-21.13	-14.68	-1.81	9.97	15.39	11.7182	1.1131	1.2177
♂	18	-21.43	-14.63	-1.10	11.07	16.61	12.3423	1.1131	1.2379
♀	6	-11.82	-7.33	0.70	8.70	13.14	5.6906	0.9317	0.9356
♀	7	-12.61	-7.87	0.60	8.95	13.55	6.0067	0.9317	0.9438
♀	8	-13.46	-8.46	0.47	9.19	13.96	6.3403	0.9317	0.9520
♀	9	-14.38	-9.11	0.31	9.41	14.35	6.6926	0.9317	0.9602
♀	10	-15.34	-9.77	0.15	9.66	14.78	7.0643	0.9317	0.9686
♀	11	-16.13	-10.25	0.21	10.14	15.45	7.4567	0.9317	0.9770
♀	12	-16.54	-10.33	0.70	11.07	16.57	7.8710	0.9317	0.9855
♀	13	-16.59	-10.03	1.59	12.42	18.13	8.3082	0.9317	0.9941
♀	14	-16.55	-9.63	2.62	13.94	19.85	8.7697	0.9317	1.0027
♀	15	-16.73	-9.42	3.50	15.31	21.44	9.2569	0.9317	1.0114
♀	16	-17.21	-9.50	4.12	16.46	22.82	9.7711	0.9317	1.0202
♀	17	-17.83	-9.69	4.66	17.56	24.15	10.3139	0.9317	1.0291
♀	18	-18.52	-9.92	5.21	18.68	25.52	10.8868	0.9317	1.0380

N_BALANCE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	6	-4.61	5.66	20.03	32.45	40.10	7.0386	0.7206	0.8105
♂	7	-0.34	10.12	24.70	36.85	44.10	7.1738	0.7206	0.8353
♂	8	3.75	14.41	29.18	41.08	47.97	7.3115	0.7206	0.8608
♂	9	6.98	17.84	32.82	44.47	51.02	7.4519	0.7206	0.8871
♂	10	9.04	20.11	35.30	46.71	52.96	7.5950	0.7206	0.9143
♂	11	9.91	21.18	36.59	47.78	53.73	7.7408	0.7206	0.9422
♂	12	10.04	21.53	37.15	48.13	53.82	7.8894	0.7206	0.9710
♂	13	9.86	21.58	37.42	48.19	53.63	8.0409	0.7206	1.0007
♂	14	9.57	21.52	37.58	48.16	53.37	8.1952	0.7206	1.0312
♂	15	9.75	21.93	38.22	48.62	53.61	8.3526	0.7206	1.0627
♂	16	9.97	22.39	38.90	49.12	53.91	8.5130	0.7206	1.0952
♂	17	9.57	22.24	38.99	49.04	53.64	8.6764	0.7206	1.1287
♂	18	8.79	21.71	38.69	48.58	53.01	8.8430	0.7206	1.1632
♀	6	-4.16	10.20	25.48	36.42	43.80	5.0888	0.5717	0.7250
♀	7	0.94	15.29	30.57	41.56	48.99	5.0854	0.5717	0.7226
♀	8	4.93	19.26	34.55	45.58	53.08	5.0820	0.5717	0.7203
♀	9	7.51	21.84	37.13	48.21	55.76	5.0786	0.5717	0.7179
♀	10	9.04	23.36	38.65	49.77	57.39	5.0752	0.5717	0.7156
♀	11	9.74	24.06	39.35	50.52	58.20	5.0718	0.5717	0.7132
♀	12	10.23	24.54	39.83	51.05	58.79	5.0684	0.5717	0.7109
♀	13	10.76	25.06	40.35	51.62	59.42	5.0650	0.5717	0.7086
♀	14	11.30	25.59	40.88	52.20	60.06	5.0616	0.5717	0.7063
♀	15	11.77	26.06	41.35	52.71	60.64	5.0582	0.5717	0.7039
♀	16	12.50	26.78	42.07	53.49	61.48	5.0548	0.5717	0.7016
♀	17	13.02	27.29	42.58	54.04	62.10	5.0514	0.5717	0.6993
♀	18	13.04	27.30	42.59	54.11	62.23	5.0481	0.5717	0.6971

N_PUSHUPS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	6	2.63	4.82	8.77	12.67	14.81	3.0182	0.9854	42.8494
♂	7	4.42	6.72	10.89	15.01	17.26	3.1827	0.9854	42.8494
♂	8	5.93	8.35	12.72	17.03	19.38	3.3337	0.9854	42.8494
♂	9	6.92	9.42	13.93	18.38	20.82	3.4442	0.9854	42.8494
♂	10	7.56	10.11	14.72	19.26	21.75	3.5156	0.9854	42.8494
♂	11	7.85	10.43	15.10	19.71	22.24	3.5663	0.9854	42.8494
♂	12	7.86	10.47	15.20	19.87	22.42	3.6085	0.9854	42.8494
♂	13	8.12	10.75	15.52	20.22	22.79	3.6365	0.9854	42.8494
♂	14	8.87	11.51	16.28	20.99	23.56	3.6408	0.9854	42.8494
♂	15	9.76	12.39	17.15	21.85	24.42	3.6322	0.9854	42.8494
♂	16	10.60	13.22	17.97	22.65	25.21	3.6225	0.9854	42.8494
♂	17	11.57	14.19	18.92	23.59	26.15	3.6128	0.9854	42.8494
♂	18	12.73	15.34	20.06	24.72	27.26	3.6017	0.9854	42.8494
♀	6	3.27	5.13	8.70	12.49	14.56	2.8501	1.0666	150.5359
♀	7	5.28	7.25	11.01	15.01	17.19	3.0068	1.0666	150.5359
♀	8	6.78	8.85	12.80	17.00	19.29	3.1566	1.0666	150.5359
♀	9	7.58	9.72	13.82	18.18	20.56	3.2763	1.0666	150.5359
♀	10	7.93	10.13	14.32	18.78	21.21	3.3501	1.0666	150.5359
♀	11	8.04	10.25	14.48	18.97	21.42	3.3767	1.0666	150.5359
♀	12	8.12	10.32	14.53	19.01	21.45	3.3644	1.0666	150.5359
♀	13	8.36	10.54	14.71	19.14	21.56	3.3328	1.0666	150.5359
♀	14	8.69	10.85	14.99	19.38	21.78	3.3047	1.0666	150.5359
♀	15	8.87	11.02	15.14	19.52	21.90	3.2894	1.0666	150.5359
♀	16	8.85	11.01	15.14	19.53	21.93	3.3012	1.0666	150.5359
♀	17	8.72	10.91	15.09	19.53	21.95	3.3387	1.0666	150.5359
♀	18	8.68	10.90	15.13	19.63	22.08	3.3813	1.0666	150.5359

SHH_BEST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	6	8.09	10.47	15.26	21.72	25.84	4.5365	1.3709	15.2987
♂	7	9.91	13.15	19.33	27.18	32.12	5.6465	1.2749	15.2987
♂	8	11.49	15.92	23.80	32.62	38.00	6.6949	1.1180	15.2987
♂	9	13.84	19.21	28.20	36.82	41.81	7.0507	0.9595	15.2987
♂	10	16.93	22.67	32.00	40.03	44.46	6.9626	0.8627	15.2987
♂	11	18.84	24.88	34.61	42.64	46.98	7.1316	0.8266	15.2987
♂	12	19.96	26.26	36.43	44.91	49.52	7.4877	0.8350	15.2987
♂	13	22.04	28.19	38.21	46.92	51.75	7.5111	0.8704	15.2987
♂	14	25.29	30.87	40.13	48.71	53.61	7.1456	0.9287	15.2987
♂	15	28.41	33.42	41.92	50.36	55.31	6.7794	0.9929	15.2987
♂	16	30.34	34.97	43.00	51.55	56.67	6.6405	1.0609	15.2987
♂	17	31.16	35.57	43.47	52.46	57.95	6.7702	1.1341	15.2987
♂	18	31.30	35.57	43.52	53.23	59.28	7.0964	1.2226	15.2987
♀	6	8.70	10.40	15.48	23.84	29.15	5.4136	2.0160	25.0021
♀	7	11.50	14.30	20.39	28.87	34.09	5.8195	1.4550	25.0021
♀	8	14.06	18.04	25.37	33.47	38.19	6.1181	1.1071	25.0021
♀	9	16.42	21.17	29.39	37.03	41.23	6.2864	0.9291	25.0021
♀	10	18.51	23.57	32.16	39.64	43.63	6.3762	0.8683	25.0021
♀	11	20.19	25.32	34.04	41.63	45.66	6.4667	0.8666	25.0021
♀	12	21.86	26.91	35.60	43.46	47.74	6.5594	0.9051	25.0021
♀	13	24.11	28.84	37.20	45.48	50.14	6.5901	0.9909	25.0021
♀	14	26.25	30.62	38.58	47.18	52.16	6.5621	1.0806	25.0021
♀	15	27.58	31.79	39.54	48.10	53.08	6.4633	1.1062	25.0021
♀	16	28.48	32.57	40.10	48.43	53.29	6.2884	1.1090	25.0021
♀	17	28.91	32.76	39.94	48.07	52.83	6.0697	1.1356	25.0021
♀	18	28.94	32.47	39.21	47.18	51.89	5.8343	1.1888	25.0021

Country: Belgium

belgium.ref

Citations

• Roelants M, Hauspie R, Hoppenbrouwers K. References for growth and pubertal development from birth to 21 years in Flanders, Belgium. Annals of Human Biology. 2009 Dezember;36(6):680–94.

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	14.01	14.67	16.1	17.88	19.02	-1.2	0.077
♀	3	13.80	14.42	15.8	17.54	18.67	-1.4	0.076
♀	4	13.58	14.20	15.6	17.42	18.64	-1.6	0.079
♀	5	13.29	13.93	15.4	17.41	18.83	-1.8	0.086
♀	6	13.09	13.77	15.4	17.75	19.50	-1.9	0.097
♀	7	12.94	13.68	15.5	18.26	20.45	-1.9	0.110
♀	8	13.06	13.87	15.9	19.14	21.87	-1.9	0.122
♀	9	13.27	14.15	16.4	20.15	23.50	-1.9	0.133
♀	10	13.46	14.42	16.9	21.01	24.64	-1.7	0.142
♀	11	13.81	14.84	17.5	21.90	25.75	-1.6	0.147
♀	12	14.21	15.30	18.1	22.67	26.58	-1.5	0.149
♀	13	14.78	15.91	18.8	23.50	27.51	-1.5	0.148
♀	14	15.39	16.56	19.5	24.10	27.83	-1.4	0.143
♀	15	16.04	17.23	20.2	24.79	28.47	-1.4	0.139
♀	16	16.62	17.82	20.8	25.46	29.23	-1.5	0.136
♀	17	16.89	18.09	21.1	25.78	29.56	-1.5	0.135
♀	18	17.12	18.33	21.4	26.30	30.40	-1.6	0.137
♀	19	17.16	18.38	21.5	26.63	31.11	-1.7	0.140
♀	20	17.31	18.52	21.7	27.23	32.49	-1.9	0.144
♀	21	17.34	18.56	21.8	27.66	33.57	-2.0	0.148
♂	2	14.44	15.04	16.4	18.17	19.35	-1.8	0.073
♂	3	13.97	14.56	15.9	17.68	18.89	-1.9	0.075
♂	4	13.65	14.24	15.6	17.44	18.72	-2.0	0.078
♂	5	13.51	14.10	15.5	17.47	18.90	-2.2	0.082
♂	6	13.32	13.93	15.4	17.55	19.18	-2.3	0.088
♂	7	13.27	13.92	15.5	17.93	19.91	-2.4	0.096
♂	8	13.38	14.07	15.8	18.55	20.90	-2.4	0.104
♂	9	13.48	14.22	16.1	19.23	22.07	-2.4	0.113
♂	10	13.74	14.54	16.6	20.19	23.65	-2.4	0.122
♂	11	13.95	14.79	17.0	20.97	25.00	-2.4	0.129
♂	12	14.37	15.26	17.6	21.89	26.37	-2.4	0.133
♂	13	14.80	15.73	18.2	22.68	27.26	-2.3	0.135
♂	14	15.26	16.24	18.8	23.36	27.89	-2.2	0.135
♂	15	15.89	16.89	19.5	24.09	28.55	-2.2	0.132
♂	16	16.43	17.46	20.1	24.57	28.69	-2.1	0.128
♂	17	16.90	17.94	20.6	24.94	28.73	-2.0	0.124
♂	18	17.32	18.36	21.0	25.24	28.85	-2.0	0.120
♂	19	17.67	18.74	21.4	25.58	29.02	-1.9	0.118
♂	20	17.91	19.00	21.7	25.84	29.17	-1.8	0.117
♂	21	18.07	19.18	21.9	25.99	29.19	-1.7	0.116

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.0000000	46.08	47.44	50.0	52.56	53.92	1	0.0400
♀	0.0833333	50.31	51.55	53.9	56.25	57.49	1	0.0340
♀	0.2500000	55.63	57.00	59.6	62.20	63.57	1	0.0340
♀	0.5000000	62.11	63.59	66.4	69.21	70.69	1	0.0330
♀	0.7500000	66.31	67.90	70.9	73.90	75.49	1	0.0330
♀	1.0000000	69.87	71.54	74.7	77.86	79.53	1	0.0330
♀	2.0000000	80.76	82.85	86.8	90.75	92.84	1	0.0355
♀	3.0000000	88.20	90.66	95.3	99.94	102.40	1	0.0380
♀	4.0000000	94.37	97.15	102.4	107.65	110.43	1	0.0400
♀	5.0000000	100.70	103.75	109.5	115.25	118.30	1	0.0410
♀	6.0000000	106.82	110.13	116.4	122.67	125.98	1	0.0420
♀	7.0000000	112.63	116.22	123.0	129.78	133.37	1	0.0430
♀	8.0000000	117.88	121.73	129.0	136.27	140.12	1	0.0440
♀	9.0000000	122.72	126.73	134.3	141.87	145.88	1	0.0440
♀	10.0000000	127.29	131.65	139.9	148.15	152.51	1	0.0460
♀	11.0000000	133.10	137.77	146.6	155.43	160.10	1	0.0470
♀	12.0000000	139.39	144.17	153.2	162.23	167.01	1	0.0460
♀	13.0000000	145.33	149.95	158.7	167.45	172.07	1	0.0430
♀	14.0000000	149.67	154.08	162.4	170.72	175.13	1	0.0400
♀	15.0000000	152.43	156.68	164.7	172.72	176.97	1	0.0380
♀	16.0000000	154.10	158.15	165.8	173.45	177.50	1	0.0360
♀	17.0000000	154.47	158.53	166.2	173.87	177.93	1	0.0360
♀	18.0000000	154.57	158.63	166.3	173.97	178.03	1	0.0360
♀	19.0000000	154.66	158.72	166.4	174.08	178.14	1	0.0360
♀	20.0000000	154.75	158.82	166.5	174.18	178.25	1	0.0360
♀	21.0000000	154.84	158.91	166.6	174.29	178.36	1	0.0360
♂	0.0000000	46.73	48.10	50.7	53.30	54.67	1	0.0400
♂	0.0833333	51.31	52.65	55.2	57.75	59.09	1	0.0360
♂	0.2500000	56.82	58.26	61.0	63.74	65.18	1	0.0350
♂	0.5000000	63.51	65.03	67.9	70.77	72.29	1	0.0330
♂	0.7500000	67.90	69.53	72.6	75.67	77.30	1	0.0330
♂	1.0000000	71.51	73.17	76.3	79.43	81.09	1	0.0320
♂	2.0000000	81.87	83.96	87.9	91.84	93.93	1	0.0350
♂	3.0000000	89.32	91.73	96.3	100.87	103.28	1	0.0370
♂	4.0000000	95.59	98.33	103.5	108.67	111.41	1	0.0390
♂	5.0000000	101.44	104.50	110.3	116.10	119.16	1	0.0410
♂	6.0000000	107.55	110.89	117.2	123.51	126.85	1	0.0420
♂	7.0000000	113.61	117.14	123.8	130.46	133.99	1	0.0420
♂	8.0000000	119.21	122.91	129.9	136.89	140.59	1	0.0420
♂	9.0000000	123.99	127.94	135.4	142.86	146.81	1	0.0430
♂	10.0000000	128.66	132.76	140.5	148.24	152.34	1	0.0430
♂	11.0000000	133.23	137.58	145.8	154.02	158.37	1	0.0440
♂	12.0000000	138.30	143.04	152.0	160.96	165.70	1	0.0460
♂	13.0000000	143.86	149.03	158.8	168.57	173.74	1	0.0480
♂	14.0000000	150.71	156.00	166.0	176.00	181.29	1	0.0470
♂	15.0000000	157.08	162.21	171.9	181.59	186.72	1	0.0440
♂	16.0000000	161.67	166.56	175.8	185.04	189.93	1	0.0410
♂	17.0000000	164.49	169.20	178.1	187.00	191.71	1	0.0390
♂	18.0000000	166.04	170.66	179.4	188.14	192.76	1	0.0380
♂	19.0000000	166.78	171.42	180.2	188.98	193.62	1	0.0380
♂	20.0000000	167.69	172.23	180.8	189.37	193.91	1	0.0370
♂	21.0000000	167.87	172.42	181.0	189.58	194.13	1	0.0370

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.0000000	2.51	2.77	3.3	3.87	4.19	0.5	0.130
♀	0.0833333	3.41	3.67	4.2	4.82	5.19	-0.1	0.107
♀	0.2500000	4.55	4.89	5.6	6.43	6.92	-0.1	0.107
♀	0.5000000	5.96	6.38	7.3	8.38	9.03	-0.2	0.106
♀	0.7500000	6.87	7.35	8.4	9.65	10.41	-0.3	0.106
♀	1.0000000	7.60	8.14	9.3	10.68	11.53	-0.3	0.106
♀	2.0000000	9.86	10.56	12.1	13.97	15.13	-0.4	0.109
♀	3.0000000	11.55	12.40	14.3	16.67	18.16	-0.5	0.115
♀	4.0000000	13.04	14.04	16.3	19.21	21.10	-0.6	0.122
♀	5.0000000	14.58	15.77	18.5	22.15	24.61	-0.7	0.132
♀	6.0000000	16.05	17.43	20.7	25.27	28.50	-0.8	0.144
♀	7.0000000	17.83	19.45	23.4	29.22	33.55	-0.9	0.157
♀	8.0000000	19.91	21.82	26.6	33.85	39.42	-0.9	0.169
♀	9.0000000	21.94	24.16	29.8	38.59	45.56	-0.9	0.180
♀	10.0000000	24.08	26.66	33.3	43.98	52.72	-0.9	0.192
♀	11.0000000	26.55	29.61	37.5	50.20	60.54	-0.8	0.203
♀	12.0000000	29.69	33.24	42.3	56.55	67.80	-0.7	0.205
♀	13.0000000	33.62	37.45	47.1	61.89	73.29	-0.7	0.194
♀	14.0000000	38.19	41.98	51.5	66.16	77.62	-0.9	0.175
♀	15.0000000	41.67	45.46	54.9	69.28	80.44	-1.0	0.162
♀	16.0000000	44.15	47.87	57.2	71.77	83.46	-1.2	0.155
♀	17.0000000	45.41	49.12	58.5	73.36	85.55	-1.3	0.153
♀	18.0000000	46.02	49.76	59.2	74.11	86.29	-1.3	0.152
♀	19.0000000	46.40	50.15	59.6	74.48	86.60	-1.3	0.151
♀	20.0000000	46.76	50.47	59.9	75.07	87.78	-1.4	0.151
♀	21.0000000	46.84	50.56	60.0	75.19	87.93	-1.4	0.151
♂	0.0000000	2.62	2.92	3.5	4.11	4.45	0.7	0.133
♂	0.0833333	3.57	3.88	4.5	5.14	5.49	0.7	0.109
♂	0.2500000	4.88	5.28	6.1	6.97	7.46	0.5	0.108
♂	0.5000000	6.37	6.88	7.9	9.03	9.66	0.3	0.106
♂	0.7500000	7.39	7.95	9.1	10.40	11.16	0.1	0.105
♂	1.0000000	8.14	8.74	10.0	11.44	12.29	0.0	0.105
♂	2.0000000	10.30	11.03	12.6	14.47	15.61	-0.3	0.106
♂	3.0000000	12.06	12.91	14.8	17.17	18.69	-0.6	0.111
♂	4.0000000	13.58	14.57	16.8	19.68	21.57	-0.7	0.117
♂	5.0000000	15.07	16.19	18.8	22.35	24.79	-0.9	0.125
♂	6.0000000	16.75	18.03	21.1	25.52	28.77	-1.1	0.134
♂	7.0000000	18.51	19.98	23.6	29.07	33.31	-1.2	0.144
♂	8.0000000	20.54	22.23	26.5	33.29	38.88	-1.3	0.154
♂	9.0000000	22.60	24.56	29.6	37.90	45.03	-1.3	0.165
♂	10.0000000	24.78	27.02	32.9	42.89	51.81	-1.3	0.175
♂	11.0000000	27.01	29.60	36.4	47.94	58.18	-1.2	0.183
♂	12.0000000	29.69	32.78	40.8	54.02	65.21	-1.0	0.191
♂	13.0000000	32.70	36.50	46.1	60.96	72.50	-0.7	0.198
♂	14.0000000	36.82	41.34	52.5	68.87	80.82	-0.5	0.198
♂	15.0000000	42.06	46.86	58.5	75.07	86.86	-0.5	0.183
♂	16.0000000	46.92	51.56	62.8	78.95	90.62	-0.7	0.165
♂	17.0000000	50.37	54.93	65.9	81.57	92.85	-0.8	0.153
♂	18.0000000	52.71	57.20	68.0	83.46	94.67	-0.9	0.146
♂	19.0000000	54.21	58.74	69.6	85.03	96.13	-0.9	0.143
♂	20.0000000	55.31	59.81	70.7	86.43	97.97	-1.0	0.142
♂	21.0000000	56.02	60.56	71.5	87.27	98.81	-1.0	0.141

Country: Italy

italian.ref

Citations

• Cacciari E, Milani S, Balsamo A, Spada E, Bona G, Cavallo L, et al. Italian cross-sectional growth charts for height, weight and BMI (2 to 20 yr). J Endocrinol Invest. 2006 Jul 1;29(7):581-93.

HEIGHTALL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	79.92	82.43	87.2	92.04	94.62	0.768	0.043
♀	3	87.30	90.07	95.4	100.83	103.75	0.656	0.044
♀	4	93.90	96.94	102.8	108.80	112.03	0.579	0.045
♀	5	100.01	103.32	109.7	116.25	119.79	0.541	0.046
♀	6	105.85	109.35	116.1	123.04	126.79	0.531	0.046
♀	7	111.24	114.91	122.0	129.29	133.23	0.528	0.046
♀	8	116.11	120.03	127.6	135.40	139.62	0.503	0.047
♀	9	121.16	125.22	133.1	141.25	145.68	0.438	0.047
♀	10	126.29	130.61	139.0	147.71	152.45	0.399	0.048
♀	11	131.83	136.49	145.5	154.77	159.77	0.551	0.049
♀	12	137.97	142.78	151.9	161.07	165.95	0.909	0.047
♀	13	143.15	147.90	156.8	165.59	170.20	1.211	0.044
♀	14	147.03	151.45	159.7	167.83	172.09	1.283	0.040
♀	15	149.09	153.31	161.2	169.01	173.11	1.215	0.038
♀	16	150.19	154.29	162.0	169.66	173.69	1.130	0.037
♀	17	150.50	154.59	162.3	169.98	174.04	1.072	0.037
♀	18	151.02	155.00	162.5	169.99	173.95	1.039	0.036
♀	19	151.12	155.09	162.6	170.10	174.06	1.021	0.036
♀	20	151.12	155.10	162.6	170.10	174.07	1.012	0.036
♂	2	80.11	83.12	88.8	94.50	97.52	0.964	0.050
♂	3	87.91	91.05	97.0	102.98	106.16	0.926	0.048
♂	4	94.56	97.85	104.1	110.39	113.74	0.880	0.047
♂	5	100.58	104.07	110.7	117.40	120.97	0.834	0.047
♂	6	106.37	109.96	116.8	123.73	127.43	0.795	0.046
♂	7	111.85	115.61	122.8	130.09	133.99	0.766	0.046
♂	8	116.96	120.89	128.4	136.03	140.11	0.739	0.046
♂	9	121.91	125.99	133.8	141.76	146.03	0.686	0.046
♂	10	126.73	130.92	139.0	147.31	151.79	0.539	0.046
♂	11	131.48	135.81	144.3	153.20	158.08	0.220	0.047
♂	12	136.25	140.91	150.2	160.18	165.76	-0.116	0.050
♂	13	141.65	146.86	157.2	168.23	174.36	0.050	0.053
♂	14	147.95	153.68	164.6	175.62	181.50	0.855	0.052
♂	15	154.20	159.93	170.4	180.47	185.66	1.649	0.047
♂	16	159.23	164.36	173.7	182.63	187.21	1.847	0.041
♂	17	161.93	166.63	175.3	183.71	188.07	1.612	0.038
♂	18	163.43	167.81	176.0	184.06	188.27	1.341	0.036
♂	19	163.88	168.23	176.4	184.51	188.77	1.172	0.036
♂	20	164.36	168.57	176.5	184.40	188.57	1.084	0.035

HEIGHT_N

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	78.59	81.39	86.7	92.05	94.90	0.886	0.048
♀	3	86.51	89.50	95.2	100.97	104.04	0.814	0.047
♀	4	93.53	96.75	102.9	109.14	112.48	0.755	0.047
♀	5	100.00	103.43	110.0	116.68	120.26	0.718	0.047
♀	6	106.23	109.79	116.6	123.53	127.25	0.700	0.046
♀	7	111.80	115.53	122.7	130.00	133.92	0.684	0.046
♀	8	117.01	120.91	128.4	136.05	140.16	0.638	0.046
♀	9	121.99	126.02	133.8	141.80	146.12	0.530	0.046
♀	10	126.92	131.26	139.7	148.45	153.21	0.414	0.048
♀	11	132.67	137.25	146.1	155.22	160.16	0.508	0.048
♀	12	138.52	143.34	152.5	161.71	166.62	0.893	0.047
♀	13	144.07	148.76	157.5	166.12	170.63	1.260	0.043
♀	14	147.74	152.20	160.5	168.66	172.92	1.349	0.040
♀	15	149.81	154.06	162.0	169.84	173.95	1.258	0.038
♀	16	150.83	154.96	162.7	170.39	174.44	1.151	0.037
♀	17	151.47	155.47	163.0	170.51	174.47	1.081	0.036
♀	18	151.57	155.57	163.1	170.62	174.59	1.042	0.036
♀	19	151.68	155.67	163.2	170.73	174.71	1.022	0.036
♀	20	151.68	155.67	163.2	170.73	174.71	1.012	0.036
♂	2	79.21	82.18	87.8	93.43	96.42	0.969	0.050
♂	3	87.73	90.86	96.8	102.77	105.94	0.927	0.048
♂	4	94.66	97.95	104.2	110.50	113.86	0.869	0.047
♂	5	100.78	104.26	110.9	117.62	121.21	0.805	0.047
♂	6	106.53	110.20	117.2	124.31	128.12	0.746	0.047
♂	7	112.10	115.94	123.3	130.79	134.81	0.702	0.047
♂	8	117.48	121.49	129.2	137.06	141.28	0.674	0.047
♂	9	122.84	126.94	134.8	142.83	147.15	0.647	0.046
♂	10	127.71	131.94	140.1	148.46	152.97	0.576	0.046
♂	11	132.38	136.80	145.4	154.32	159.18	0.382	0.047
♂	12	137.29	141.97	151.2	160.97	166.36	0.103	0.049
♂	13	142.64	147.85	158.1	168.92	174.89	0.188	0.052
♂	14	149.33	154.92	165.5	176.12	181.76	0.942	0.050
♂	15	155.68	161.21	171.3	180.99	185.97	1.707	0.045
♂	16	160.36	165.36	174.5	183.27	187.78	1.801	0.040
♂	17	162.90	167.46	175.9	184.14	188.43	1.504	0.037
♂	18	163.84	168.21	176.4	184.49	188.74	1.248	0.036
♂	19	164.44	168.66	176.6	184.50	188.67	1.112	0.035
♂	20	164.56	168.77	176.7	184.62	188.80	1.050	0.035

HEIGHT_S

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	80.18	82.77	87.7	92.66	95.30	0.883	0.044
♀	3	87.52	90.33	95.7	101.13	104.02	0.799	0.044
♀	4	93.84	96.92	102.8	108.78	111.98	0.725	0.045
♀	5	99.89	103.15	109.4	115.77	119.19	0.672	0.045
♀	6	105.44	108.95	115.7	122.59	126.30	0.642	0.046
♀	7	110.83	114.51	121.6	128.85	132.75	0.616	0.046
♀	8	115.96	119.80	127.2	134.79	138.89	0.567	0.046
♀	9	120.77	124.83	132.7	140.82	145.22	0.479	0.047
♀	10	126.00	130.32	138.7	147.38	152.10	0.426	0.048
♀	11	131.54	136.20	145.2	154.44	159.43	0.574	0.049
♀	12	137.33	142.12	151.2	160.33	165.18	0.914	0.047
♀	13	142.16	146.87	155.7	164.43	169.02	1.189	0.044
♀	14	145.45	149.93	158.3	166.56	170.90	1.249	0.041
♀	15	147.40	151.68	159.7	167.65	171.82	1.187	0.039
♀	16	148.31	152.47	160.3	168.09	172.19	1.113	0.038
♀	17	149.02	153.07	160.7	168.31	172.33	1.063	0.037
♀	18	149.12	153.17	160.8	168.42	172.45	1.034	0.037
♀	19	149.22	153.27	160.9	168.53	172.56	1.018	0.037
♀	20	149.23	153.27	160.9	168.53	172.56	1.010	0.037
♂	2	80.92	83.96	89.7	95.45	98.50	0.981	0.050
♂	3	87.97	91.20	97.3	103.42	106.66	0.963	0.049
♂	4	94.24	97.61	104.0	110.41	113.81	0.944	0.048
♂	5	100.27	103.77	110.4	117.06	120.60	0.925	0.047
♂	6	106.13	109.75	116.6	123.49	127.15	0.909	0.046
♂	7	111.42	115.21	122.4	129.64	133.49	0.893	0.046
♂	8	116.78	120.65	128.0	135.41	139.36	0.863	0.045
♂	9	121.57	125.57	133.2	140.93	145.06	0.775	0.045
♂	10	126.34	130.43	138.3	146.38	150.74	0.552	0.045
♂	11	130.79	135.07	143.5	152.37	157.25	0.152	0.047
♂	12	135.56	140.18	149.4	159.34	164.92	-0.173	0.050
♂	13	140.76	145.93	156.2	167.16	173.26	0.038	0.053
♂	14	146.59	152.23	163.0	173.95	179.81	0.761	0.052
♂	15	152.13	157.80	168.3	178.52	183.83	1.431	0.048
♂	16	156.54	161.78	171.4	180.69	185.48	1.636	0.043
♂	17	159.16	164.01	173.0	181.76	186.31	1.500	0.040
♂	18	160.70	165.27	173.8	182.20	186.60	1.304	0.038
♂	19	161.05	165.59	174.1	182.54	186.99	1.166	0.038
♂	20	161.62	166.02	174.3	182.55	186.90	1.087	0.037

WEIGHTALL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	9.84	10.58	12.3	14.69	16.36	-0.982	0.127
♀	3	11.44	12.35	14.5	17.56	19.75	-0.985	0.136
♀	4	13.02	14.12	16.8	20.72	23.64	-0.984	0.148
♀	5	14.55	15.89	19.2	24.20	28.02	-0.950	0.162
♀	6	16.20	17.83	21.9	28.16	33.04	-0.881	0.176
♀	7	17.92	19.87	24.8	32.45	38.44	-0.789	0.189
♀	8	19.79	22.11	28.0	37.13	44.23	-0.691	0.200
♀	9	21.80	24.52	31.4	41.98	50.10	-0.598	0.208
♀	10	24.02	27.19	35.2	47.35	56.52	-0.503	0.215
♀	11	26.79	30.58	40.0	53.85	63.92	-0.361	0.220
♀	12	30.37	34.86	45.6	60.35	70.34	-0.153	0.214
♀	13	34.83	39.64	50.7	65.01	74.23	-0.041	0.193
♀	14	38.77	43.31	53.7	67.14	75.84	-0.172	0.171
♀	15	41.21	45.40	55.1	67.95	76.48	-0.391	0.157
♀	16	42.24	46.25	55.6	68.20	76.74	-0.536	0.151
♀	17	42.64	46.58	55.8	68.35	76.95	-0.605	0.149
♀	18	42.83	46.73	55.9	68.42	77.03	-0.635	0.148
♀	19	42.92	46.80	55.9	68.34	76.89	-0.647	0.147
♀	20	42.93	46.80	55.9	68.35	76.92	-0.653	0.147
♂	2	10.18	10.96	12.8	15.38	17.20	-0.974	0.131
♂	3	12.02	12.96	15.2	18.38	20.65	-0.987	0.135
♂	4	13.64	14.74	17.4	21.24	24.06	-1.010	0.141
♂	5	15.16	16.45	19.6	24.28	27.81	-1.026	0.150
♂	6	16.73	18.24	22.0	27.73	32.18	-1.015	0.161
♂	7	18.37	20.16	24.7	31.80	37.46	-0.965	0.175
♂	8	20.18	22.32	27.8	36.51	43.53	-0.881	0.189
♂	9	22.20	24.75	31.3	41.72	50.10	-0.778	0.201
♂	10	24.40	27.40	35.1	47.22	56.80	-0.668	0.210
♂	11	26.98	30.49	39.4	53.14	63.68	-0.556	0.215
♂	12	29.93	34.00	44.2	59.46	70.77	-0.439	0.217
♂	13	33.58	38.25	49.7	66.12	77.77	-0.317	0.213
♂	14	38.16	43.37	55.8	72.83	84.39	-0.214	0.202
♂	15	43.27	48.68	61.3	78.04	89.11	-0.197	0.184
♂	16	47.92	53.13	65.2	81.15	91.70	-0.314	0.165
♂	17	51.13	56.05	67.5	82.86	93.20	-0.501	0.152
♂	18	52.95	57.65	68.7	83.76	94.11	-0.660	0.145
♂	19	53.84	58.42	69.2	84.04	94.36	-0.758	0.141
♂	20	54.34	58.85	69.5	84.24	94.56	-0.811	0.139

WEIGHT_N

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	9.69	10.41	12.1	14.42	16.03	-0.944	0.126
♀	3	11.47	12.37	14.5	17.49	19.62	-0.952	0.134
♀	4	13.07	14.16	16.8	20.61	23.41	-0.957	0.145
♀	5	14.63	15.95	19.2	24.03	27.67	-0.933	0.158
♀	6	16.30	17.90	21.9	27.97	32.65	-0.873	0.172
♀	7	18.05	19.98	24.8	32.19	37.90	-0.787	0.184
♀	8	19.98	22.26	28.0	36.78	43.52	-0.691	0.194
♀	9	22.07	24.76	31.5	41.72	49.47	-0.594	0.202
♀	10	24.41	27.56	35.4	47.11	55.79	-0.491	0.208
♀	11	27.25	30.97	40.1	53.28	62.69	-0.351	0.211
♀	12	30.98	35.31	45.6	59.59	69.02	-0.175	0.204
♀	13	35.28	39.87	50.4	64.06	72.89	-0.094	0.185
♀	14	38.99	43.37	53.4	66.39	74.81	-0.212	0.166
♀	15	41.37	45.46	54.9	67.35	75.59	-0.406	0.153
♀	16	42.46	46.39	55.5	67.70	75.92	-0.542	0.147
♀	17	42.86	46.71	55.7	67.85	76.11	-0.611	0.145
♀	18	43.05	46.87	55.8	67.91	76.18	-0.642	0.144
♀	19	43.14	46.93	55.8	67.83	76.06	-0.656	0.143
♀	20	43.15	46.94	55.8	67.84	76.08	-0.662	0.143
♂	2	10.42	11.19	13.0	15.54	17.34	-1.039	0.127
♂	3	12.11	13.02	15.2	18.28	20.49	-1.038	0.131
♂	4	13.61	14.69	17.3	21.07	23.83	-1.040	0.139
♂	5	15.10	16.38	19.5	24.12	27.59	-1.027	0.149
♂	6	16.69	18.21	22.0	27.75	32.19	-0.982	0.162
♂	7	18.37	20.20	24.8	31.92	37.50	-0.904	0.176
♂	8	20.39	22.60	28.2	36.92	43.79	-0.806	0.189
♂	9	22.60	25.23	31.9	42.25	50.32	-0.702	0.199
♂	10	25.06	28.13	35.9	47.79	56.89	-0.606	0.205
♂	11	27.77	31.32	40.2	53.56	63.56	-0.519	0.208
♂	12	30.84	34.86	44.8	59.40	70.04	-0.439	0.207
♂	13	34.34	38.89	50.0	65.87	77.11	-0.352	0.205
♂	14	38.68	43.74	55.8	72.34	83.61	-0.256	0.196
♂	15	43.79	49.11	61.5	77.93	88.81	-0.223	0.180
♂	16	48.53	53.68	65.6	81.37	91.82	-0.344	0.162
♂	17	51.64	56.46	67.7	82.83	93.07	-0.549	0.149
♂	18	53.20	57.80	68.6	83.35	93.51	-0.704	0.142
♂	19	53.91	58.40	69.0	83.60	93.76	-0.787	0.139
♂	20	54.21	58.67	69.2	83.78	93.98	-0.825	0.138

WEIGHT_S

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	9.75	10.50	12.3	14.90	16.80	-1.083	0.135
♀	3	11.42	12.35	14.6	17.89	20.35	-1.048	0.143
♀	4	13.01	14.13	16.9	21.03	24.17	-1.020	0.153
♀	5	14.48	15.83	19.2	24.37	28.40	-0.978	0.166
♀	6	16.08	17.70	21.8	28.20	33.28	-0.914	0.179
♀	7	17.73	19.67	24.6	32.40	38.64	-0.833	0.192
♀	8	19.55	21.84	27.7	36.99	44.40	-0.744	0.203
♀	9	21.60	24.30	31.2	42.08	50.67	-0.655	0.212
♀	10	23.85	27.01	35.1	47.70	57.49	-0.559	0.220
♀	11	26.64	30.37	39.8	54.10	64.83	-0.441	0.224
♀	12	30.34	34.69	45.4	60.90	71.97	-0.311	0.219
♀	13	34.53	39.19	50.4	66.00	76.76	-0.268	0.203
♀	14	38.29	42.84	53.7	68.73	79.10	-0.373	0.184
♀	15	40.54	44.89	55.3	69.90	80.14	-0.525	0.172
♀	16	41.58	45.78	55.9	70.24	80.44	-0.628	0.166
♀	17	42.02	46.18	56.2	70.51	80.78	-0.681	0.164
♀	18	42.27	46.38	56.3	70.47	80.65	-0.705	0.162
♀	19	42.37	46.47	56.4	70.61	80.86	-0.716	0.162
♀	20	42.37	46.48	56.4	70.62	80.89	-0.721	0.162
♂	2	9.91	10.71	12.6	15.26	17.15	-0.914	0.137
♂	3	11.97	12.96	15.3	18.61	20.97	-0.903	0.140
♂	4	13.69	14.84	17.6	21.54	24.39	-0.911	0.144
♂	5	15.35	16.67	19.9	24.60	28.06	-0.932	0.150
♂	6	16.87	18.41	22.2	27.89	32.22	-0.952	0.160
♂	7	18.44	20.22	24.7	31.63	37.08	-0.949	0.172
♂	8	20.15	22.24	27.6	36.11	42.98	-0.910	0.186
♂	9	22.01	24.50	30.9	41.23	49.69	-0.836	0.200
♂	10	24.19	27.14	34.8	47.21	57.36	-0.743	0.213
♂	11	26.74	30.18	39.1	53.39	64.86	-0.651	0.220
♂	12	29.78	33.73	43.9	59.90	72.46	-0.578	0.222
♂	13	33.41	37.79	48.9	66.01	79.12	-0.544	0.216
♂	14	37.64	42.31	54.0	71.64	84.90	-0.559	0.204
♂	15	42.13	46.95	58.9	76.69	89.95	-0.620	0.190
♂	16	46.40	51.26	63.2	80.78	93.78	-0.698	0.176
♂	17	49.94	54.84	66.8	84.24	97.05	-0.757	0.166
♂	18	52.66	57.61	69.6	86.89	99.46	-0.779	0.159
♂	19	54.34	59.37	71.5	88.84	101.34	-0.773	0.156
♂	20	55.55	60.65	72.9	90.28	102.70	-0.758	0.154

BMIALL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	13.66	14.34	16.1	19.08	21.87	-2.743	0.106
♀	3	13.37	14.02	15.7	18.62	21.47	-2.934	0.105
♀	4	13.18	13.85	15.6	18.65	21.64	-2.791	0.110
♀	5	13.21	13.93	15.8	19.04	22.16	-2.548	0.116
♀	6	13.31	14.09	16.1	19.54	22.78	-2.312	0.122
♀	7	13.41	14.25	16.4	20.06	23.44	-2.118	0.128
♀	8	13.64	14.55	16.9	20.91	24.62	-1.957	0.136
♀	9	13.84	14.83	17.4	21.76	25.73	-1.775	0.144
♀	10	14.11	15.23	18.1	22.88	27.06	-1.504	0.154
♀	11	14.46	15.72	18.9	23.88	27.89	-1.151	0.160
♀	12	15.02	16.41	19.8	24.77	28.45	-0.854	0.159
♀	13	15.61	17.02	20.4	25.21	28.66	-0.797	0.152
♀	14	16.27	17.60	20.8	25.43	28.82	-0.997	0.142
♀	15	16.74	17.98	21.0	25.49	28.91	-1.270	0.134
♀	16	16.94	18.11	21.0	25.38	28.80	-1.463	0.129
♀	17	17.10	18.25	21.1	25.46	28.91	-1.557	0.127
♀	18	17.13	18.28	21.1	25.43	28.88	-1.594	0.126
♀	19	17.14	18.28	21.1	25.44	28.90	-1.604	0.126
♀	20	17.14	18.28	21.1	25.44	28.90	-1.605	0.126
♂	2	14.51	15.07	16.5	18.92	21.24	-3.721	0.084
♂	3	13.88	14.45	15.9	18.38	20.77	-3.507	0.089
♂	4	13.68	14.27	15.8	18.41	20.92	-3.284	0.094
♂	5	13.54	14.17	15.8	18.63	21.40	-3.089	0.101
♂	6	13.57	14.24	16.0	19.08	22.14	-2.900	0.108
♂	7	13.63	14.37	16.3	19.73	23.18	-2.682	0.117
♂	8	13.82	14.64	16.8	20.65	24.50	-2.412	0.127
♂	9	13.98	14.90	17.3	21.53	25.63	-2.091	0.137
♂	10	14.23	15.28	18.0	22.65	26.94	-1.736	0.148
♂	11	14.51	15.69	18.7	23.59	27.73	-1.382	0.155
♂	12	14.90	16.22	19.5	24.54	28.49	-1.069	0.159
♂	13	15.37	16.77	20.2	25.18	28.85	-0.844	0.157
♂	14	15.94	17.40	20.9	25.83	29.34	-0.740	0.153
♂	15	16.44	17.88	21.3	26.07	29.42	-0.765	0.146
♂	16	17.00	18.39	21.7	26.34	29.65	-0.890	0.139
♂	17	17.40	18.73	21.9	26.43	29.72	-1.065	0.133
♂	18	17.68	18.95	22.0	26.43	29.72	-1.242	0.128
♂	19	17.93	19.14	22.1	26.45	29.73	-1.391	0.124
♂	20	18.10	19.29	22.2	26.53	29.85	-1.501	0.122

BMI_N

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	13.59	14.30	16.1	19.08	21.76	-2.507	0.108
♀	3	13.32	13.99	15.7	18.61	21.36	-2.771	0.106
♀	4	13.18	13.86	15.6	18.59	21.46	-2.730	0.109
♀	5	13.17	13.88	15.7	18.81	21.75	-2.564	0.113
♀	6	13.29	14.05	16.0	19.33	22.46	-2.375	0.119
♀	7	13.40	14.21	16.3	19.86	23.17	-2.204	0.125
♀	8	13.57	14.44	16.7	20.55	24.12	-2.044	0.132
♀	9	13.76	14.72	17.2	21.43	25.30	-1.842	0.141
♀	10	14.03	15.11	17.9	22.52	26.57	-1.539	0.151
♀	11	14.47	15.71	18.8	23.60	27.43	-1.161	0.156
♀	12	14.97	16.32	19.6	24.37	27.88	-0.864	0.155
♀	13	15.63	16.98	20.2	24.76	28.01	-0.834	0.146
♀	14	16.29	17.56	20.6	24.98	28.20	-1.072	0.136
♀	15	16.77	17.94	20.8	25.05	28.29	-1.375	0.128
♀	16	16.93	18.05	20.8	24.98	28.27	-1.583	0.124
♀	17	17.10	18.19	20.9	25.06	28.38	-1.683	0.122
♀	18	17.13	18.22	20.9	25.03	28.35	-1.720	0.121
♀	19	17.13	18.22	20.9	25.03	28.36	-1.729	0.121
♀	20	17.13	18.22	20.9	25.03	28.36	-1.727	0.121
♂	2	14.97	15.63	17.3	20.07	22.59	-3.082	0.093
♂	3	13.70	14.32	15.9	18.53	20.95	-2.995	0.096
♂	4	13.36	13.99	15.6	18.31	20.85	-2.927	0.100
♂	5	13.35	14.01	15.7	18.60	21.37	-2.851	0.105
♂	6	13.49	14.19	16.0	19.15	22.22	-2.738	0.111
♂	7	13.58	14.33	16.3	19.77	23.20	-2.565	0.119
♂	8	13.79	14.62	16.8	20.65	24.43	-2.323	0.128
♂	9	14.02	14.96	17.4	21.65	25.72	-2.022	0.138
♂	10	14.25	15.30	18.0	22.54	26.60	-1.684	0.146
♂	11	14.53	15.71	18.7	23.48	27.44	-1.341	0.153
♂	12	14.95	16.26	19.5	24.39	28.16	-1.033	0.156
♂	13	15.42	16.82	20.2	25.04	28.54	-0.804	0.154
♂	14	15.94	17.38	20.8	25.52	28.82	-0.687	0.149
♂	15	16.41	17.84	21.2	25.79	28.95	-0.693	0.143
♂	16	16.97	18.35	21.6	26.06	29.16	-0.805	0.136
♂	17	17.37	18.68	21.8	26.15	29.23	-0.980	0.130
♂	18	17.74	19.00	22.0	26.27	29.36	-1.169	0.125
♂	19	17.99	19.20	22.1	26.29	29.39	-1.337	0.121
♂	20	18.11	19.28	22.1	26.22	29.32	-1.469	0.118

BMI_S

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	13.60	14.31	16.1	19.11	21.89	-2.611	0.108
♀	3	13.36	14.05	15.8	18.78	21.60	-2.698	0.108
♀	4	13.28	13.99	15.8	18.91	21.86	-2.609	0.112
♀	5	13.24	13.98	15.9	19.20	22.32	-2.438	0.118
♀	6	13.26	14.05	16.1	19.59	22.85	-2.236	0.124
♀	7	13.32	14.18	16.4	20.17	23.65	-2.025	0.132
♀	8	13.53	14.47	16.9	21.00	24.70	-1.814	0.140
♀	9	13.79	14.83	17.5	21.94	25.86	-1.607	0.148
♀	10	14.14	15.28	18.2	22.98	27.07	-1.416	0.155
♀	11	14.61	15.85	19.0	24.05	28.23	-1.262	0.159
♀	12	15.18	16.49	19.8	24.99	29.17	-1.168	0.159
♀	13	15.75	17.10	20.5	25.77	29.95	-1.142	0.157
♀	14	16.24	17.60	21.0	26.24	30.38	-1.170	0.153
♀	15	16.67	18.03	21.4	26.60	30.72	-1.225	0.149
♀	16	16.93	18.26	21.6	26.75	30.85	-1.282	0.146
♀	17	17.07	18.40	21.7	26.81	30.90	-1.326	0.144
♀	18	17.19	18.51	21.8	26.91	31.02	-1.356	0.143
♀	19	17.30	18.62	21.9	27.00	31.10	-1.374	0.142
♀	20	17.31	18.62	21.9	27.01	31.12	-1.384	0.142
♂	2	14.04	14.54	15.8	17.98	20.14	-4.261	0.078
♂	3	13.87	14.38	15.7	17.99	20.28	-4.081	0.082
♂	4	13.84	14.38	15.8	18.29	20.81	-3.816	0.088
♂	5	13.76	14.35	15.9	18.65	21.46	-3.492	0.096
♂	6	13.74	14.39	16.1	19.15	22.27	-3.132	0.105
♂	7	13.85	14.58	16.5	19.92	23.37	-2.757	0.115
♂	8	13.92	14.74	16.9	20.71	24.48	-2.385	0.126
♂	9	14.04	14.97	17.4	21.62	25.63	-2.031	0.137
♂	10	14.34	15.39	18.1	22.67	26.80	-1.706	0.146
♂	11	14.55	15.71	18.7	23.57	27.73	-1.420	0.154
♂	12	14.98	16.26	19.5	24.58	28.67	-1.179	0.158
♂	13	15.37	16.76	20.2	25.40	29.41	-0.990	0.160
♂	14	15.83	17.30	20.9	26.19	30.11	-0.856	0.160
♂	15	16.32	17.83	21.5	26.76	30.56	-0.778	0.157
♂	16	16.86	18.41	22.1	27.32	31.05	-0.753	0.153
♂	17	17.32	18.85	22.5	27.62	31.25	-0.773	0.148
♂	18	17.77	19.29	22.9	27.98	31.58	-0.825	0.144
♂	19	18.07	19.56	23.1	28.09	31.65	-0.897	0.140
♂	20	18.46	19.92	23.4	28.33	31.87	-0.977	0.136

Country: Nederlands

nl3.ref

Citations

• Fredriks, A. M. et al. Continuing positive secular growth change in The Netherlands 1955–1997. Pediatric research 47, 316–323 (2000).
• Fredriks, A.M., van Buuren, S., Wit, J.M., Verloove-Vanhorick, S.P., 2000. Body index measurements in 1996–7 compared with 1980. Archives of disease in childhood 82, 107–112.

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0383	11.19	11.80	13.08	14.55	15.42	-0.3218	0.0816
♂	0.0575	11.58	12.22	13.55	15.10	16.01	-0.3322	0.0825
♂	0.0767	11.99	12.62	13.94	15.45	16.33	-0.3402	0.0787
♂	0.0958	12.30	12.93	14.25	15.76	16.64	-0.3462	0.0770
♂	0.1150	12.54	13.18	14.52	16.05	16.94	-0.3510	0.0768
♂	0.1342	12.73	13.38	14.75	16.32	17.24	-0.3548	0.0773
♂	0.1533	12.88	13.55	14.95	16.56	17.51	-0.3574	0.0783
♂	0.1725	13.00	13.69	15.13	16.78	17.75	-0.3591	0.0794
♂	0.1916	13.11	13.81	15.28	16.97	17.97	-0.3604	0.0803
♂	0.2300	13.31	14.02	15.53	17.26	18.29	-0.3619	0.0811
♂	0.2683	13.48	14.21	15.73	17.49	18.53	-0.3632	0.0810
♂	0.3066	13.64	14.37	15.90	17.67	18.71	-0.3642	0.0806
♂	0.3450	13.78	14.51	16.05	17.81	18.86	-0.3647	0.0800
♂	0.3833	13.90	14.63	16.17	17.93	18.97	-0.3645	0.0794
♂	0.4216	14.00	14.73	16.27	18.03	19.07	-0.3639	0.0788
♂	0.4600	14.10	14.83	16.37	18.13	19.16	-0.3633	0.0782
♂	0.4983	14.19	14.92	16.46	18.21	19.25	-0.3628	0.0777
♂	0.5366	14.28	15.01	16.55	18.30	19.33	-0.3629	0.0773
♂	0.6133	14.44	15.17	16.72	18.48	19.51	-0.3655	0.0768
♂	0.6899	14.58	15.32	16.87	18.64	19.68	-0.3713	0.0765
♂	0.7666	14.71	15.45	17.00	18.77	19.81	-0.3797	0.0759
♂	0.8433	14.81	15.55	17.09	18.85	19.88	-0.3899	0.0750
♂	0.9199	14.89	15.62	17.15	18.91	19.94	-0.4014	0.0744
♂	0.9966	14.93	15.66	17.19	18.94	19.97	-0.4137	0.0742
♂	2.0000	14.32	15.05	16.59	18.39	19.48	-0.5808	0.0783
♂	3.0000	13.88	14.53	15.90	17.51	18.49	-0.7383	0.0728
♂	4.0000	13.64	14.25	15.54	17.08	18.02	-0.8805	0.0706
♂	5.0000	13.43	14.03	15.33	16.89	17.85	-0.9990	0.0721
♂	6.0000	13.28	13.89	15.23	16.87	17.90	-1.1015	0.0754
♂	7.0000	13.21	13.85	15.27	17.06	18.20	-1.1917	0.0807
♂	8.0000	13.23	13.91	15.45	17.44	18.75	-1.2685	0.0876
♂	9.0000	13.35	14.08	15.74	17.96	19.47	-1.3343	0.0943
♂	10.0000	13.57	14.34	16.13	18.58	20.28	-1.3900	0.0999
♂	11.0000	13.87	14.68	16.60	19.26	21.16	-1.4352	0.1046
♂	12.0000	14.24	15.09	17.12	19.97	22.04	-1.4706	0.1078
♂	13.0000	14.68	15.57	17.68	20.69	22.89	-1.4982	0.1093
♂	14.0000	15.17	16.08	18.26	21.37	23.65	-1.5198	0.1091
♂	15.0000	15.70	16.63	18.84	22.00	24.31	-1.5370	0.1075
♂	16.0000	16.23	17.17	19.41	22.59	24.91	-1.5514	0.1054
♂	17.0000	16.74	17.70	19.96	23.16	25.47	-1.5639	0.1033
♂	18.0000	17.24	18.21	20.49	23.69	26.00	-1.5752	0.1013
♂	19.0000	17.70	18.68	20.98	24.20	26.50	-1.5857	0.0995
♂	20.0000	18.15	19.13	21.45	24.68	26.99	-1.5957	0.0980
♀	0.0383	11.27	11.88	13.08	14.36	15.07	0.3364	0.0740
♀	0.0575	11.52	12.14	13.38	14.68	15.40	0.4319	0.0740
♀	0.0767	11.74	12.39	13.66	14.99	15.73	0.4907	0.0745
♀	0.0958	11.95	12.61	13.93	15.30	16.05	0.5262	0.0752
♀	0.1150	12.13	12.82	14.17	15.58	16.35	0.5469	0.0760
♀	0.1342	12.30	13.01	14.39	15.84	16.63	0.5563	0.0768
♀	0.1533	12.46	13.19	14.61	16.09	16.90	0.5565	0.0775
♀	0.1725	12.61	13.35	14.80	16.32	17.15	0.5498	0.0782
♀	0.1916	12.74	13.50	14.98	16.53	17.38	0.5379	0.0789
♀	0.2300	12.98	13.75	15.27	16.88	17.76	0.5026	0.0799
♀	0.2683	13.18	13.96	15.52	17.16	18.07	0.4571	0.0804
♀	0.3066	13.35	14.14	15.72	17.39	18.32	0.4070	0.0806
♀	0.3450	13.49	14.29	15.88	17.57	18.52	0.3553	0.0807
♀	0.3833	13.62	14.42	16.01	17.73	18.68	0.3033	0.0806
♀	0.4216	13.73	14.53	16.13	17.86	18.82	0.2516	0.0804
♀	0.4600	13.84	14.63	16.23	17.97	18.95	0.2007	0.0802
♀	0.4983	13.93	14.72	16.33	18.08	19.06	0.1508	0.0800
♀	0.5366	14.02	14.81	16.41	18.17	19.17	0.1022	0.0799
♀	0.6133	14.17	14.96	16.56	18.34	19.35	0.0099	0.0795
♀	0.6899	14.30	15.08	16.68	18.47	19.50	-0.0750	0.0791
♀	0.7666	14.40	15.17	16.77	18.57	19.61	-0.1526	0.0788
♀	0.8433	14.46	15.23	16.83	18.63	19.68	-0.2235	0.0786
♀	0.9199	14.50	15.27	16.86	18.67	19.72	-0.2888	0.0784
♀	0.9966	14.52	15.28	16.86	18.68	19.75	-0.3495	0.0783
♀	2.0000	14.06	14.74	16.21	17.99	19.09	-0.8967	0.0776
♀	3.0000	13.63	14.27	15.67	17.42	18.53	-1.2056	0.0775
♀	4.0000	13.35	13.98	15.37	17.16	18.32	-1.3961	0.0795
♀	5.0000	13.12	13.75	15.19	17.06	18.32	-1.5093	0.0834
♀	6.0000	12.97	13.63	15.13	17.16	18.55	-1.5636	0.0889
♀	7.0000	12.95	13.64	15.25	17.47	19.03	-1.5752	0.0953
♀	8.0000	13.03	13.77	15.51	17.95	19.70	-1.5572	0.1019
♀	9.0000	13.22	14.01	15.88	18.55	20.50	-1.5204	0.1079
♀	10.0000	13.50	14.34	16.35	19.24	21.36	-1.4731	0.1128
♀	11.0000	13.87	14.76	16.90	19.99	22.27	-1.4202	0.1165
♀	12.0000	14.29	15.23	17.49	20.76	23.16	-1.3639	0.1190
♀	13.0000	14.74	15.73	18.11	21.51	24.00	-1.3053	0.1203
♀	14.0000	15.20	16.24	18.70	22.22	24.76	-1.2461	0.1208
♀	15.0000	15.64	16.72	19.27	22.86	25.44	-1.1876	0.1207
♀	16.0000	16.06	17.17	19.79	23.44	26.04	-1.1306	0.1203
♀	17.0000	16.45	17.59	20.27	23.97	26.57	-1.0755	0.1197
♀	18.0000	16.81	17.98	20.72	24.46	27.06	-1.0230	0.1191
♀	19.0000	17.15	18.35	21.14	24.92	27.51	-0.9733	0.1185
♀	20.0000	17.47	18.70	21.55	25.35	27.94	-0.9260	0.1179

nl4.ref

Citations

• Fredriks, A. M. et al. Nationwide age references for sitting height, leg length, and sitting height/height ratio, and their diagnostic value for disproportionate growth disorders. Archives of Disease in Childhood 90, 807–812 (2005).
• Fredriks, A. M. et al. Height, weight, body mass index and pubertal development references for children of Moroccan origin in The Netherlands. Acta Paediatr. 93, 817–824 (2004).
• Fredriks, A. M. et al. Continuing positive secular growth change in The Netherlands 1955–1997. Pediatric research 47, 316–323 (2000).
• Fredriks, A. M. et al. Height, weight, body mass index and pubertal development reference values for children of Turkish origin in the Netherlands. Eur. J. Pediatr. 162, 788–793 (2003).
• Fredriks, A. M., van Buuren, S., Wit, J. M. & Verloove-Vanhorick, S. P. Body index measurements in 1996–7 compared with 1980. Archives of disease in childhood 82, 107–112 (2000).
• R package: AGD, Stef van Buuren, http://www.stefvanbuuren.nl/

HEIGHTN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	47.25	48.66	51.32	53.98	55.39	1	0.0405
♂	0.0192	47.97	49.40	52.10	54.80	56.23	1	0.0404
♂	0.0383	48.70	50.15	52.88	55.61	57.06	1	0.0403
♂	0.0575	49.45	50.91	53.67	56.43	57.89	1	0.0401
♂	0.0767	50.19	51.67	54.46	57.25	58.73	1	0.0400
♂	0.0958	50.97	52.46	55.26	58.06	59.55	1	0.0396
♂	0.1150	51.72	53.22	56.05	58.88	60.38	1	0.0394
♂	0.1342	52.44	53.96	56.83	59.70	61.22	1	0.0394
♂	0.1533	53.17	54.71	57.60	60.49	62.03	1	0.0392
♂	0.1725	53.89	55.44	58.36	61.28	62.83	1	0.0391
♂	0.1916	54.62	56.17	59.10	62.03	63.58	1	0.0387
♂	0.2300	55.94	57.52	60.51	63.50	65.08	1	0.0385
♂	0.2683	57.19	58.79	61.82	64.85	66.45	1	0.0382
♂	0.3066	58.35	59.97	63.03	66.09	67.71	1	0.0379
♂	0.3450	59.43	61.07	64.16	67.25	68.89	1	0.0376
♂	0.3833	60.42	62.07	65.20	68.33	69.98	1	0.0374
♂	0.4216	61.38	63.04	66.18	69.32	70.98	1	0.0370
♂	0.4600	62.22	63.91	67.09	70.27	71.96	1	0.0370
♂	0.4983	63.04	64.74	67.94	71.14	72.84	1	0.0368
♂	0.5366	63.80	65.52	68.75	71.98	73.70	1	0.0367
♂	0.6133	65.25	66.98	70.25	73.52	75.25	1	0.0363
♂	0.6899	66.55	68.31	71.63	74.95	76.71	1	0.0362
♂	0.7666	67.77	69.56	72.93	76.30	78.09	1	0.0361
♂	0.8433	68.94	70.75	74.17	77.59	79.40	1	0.0360
♂	0.9199	70.04	71.88	75.36	78.84	80.68	1	0.0360
♂	0.9966	71.12	72.98	76.50	80.02	81.88	1	0.0359
♂	2.0000	82.48	84.68	88.85	93.02	95.22	1	0.0366
♂	3.0000	90.88	93.37	98.07	102.77	105.26	1	0.0374
♂	4.0000	97.92	100.65	105.82	110.99	113.72	1	0.0381
♂	5.0000	104.38	107.40	113.11	118.82	121.84	1	0.0394
♂	6.0000	110.43	113.77	120.08	126.39	129.73	1	0.0410
♂	7.0000	116.08	119.73	126.63	133.53	137.18	1	0.0425
♂	8.0000	121.43	125.37	132.83	140.29	144.23	1	0.0438
♂	9.0000	126.13	130.34	138.30	146.26	150.47	1	0.0449
♂	10.0000	130.33	134.80	143.24	151.68	156.15	1	0.0460
♂	11.0000	134.53	139.27	148.24	157.21	161.95	1	0.0472
♂	12.0000	139.39	144.45	154.00	163.55	168.61	1	0.0484
♂	13.0000	145.43	150.79	160.92	171.05	176.41	1	0.0491
♂	14.0000	152.36	157.83	168.18	178.53	184.00	1	0.0480
♂	15.0000	158.94	164.29	174.39	184.49	189.84	1	0.0452
♂	16.0000	163.89	169.03	178.74	188.45	193.59	1	0.0424
♂	17.0000	166.86	171.84	181.25	190.66	195.64	1	0.0405
♂	18.0000	168.42	173.31	182.55	191.79	196.68	1	0.0395
♂	19.0000	169.18	174.02	183.18	192.34	197.18	1	0.0390
♂	20.0000	169.65	174.47	183.57	192.67	197.49	1	0.0387
♂	21.0000	170.11	174.91	183.96	193.01	197.81	1	0.0384
♀	0.0000	47.15	48.45	50.90	53.35	54.65	1	0.0376
♀	0.0192	47.79	49.10	51.58	54.06	55.37	1	0.0375
♀	0.0383	48.42	49.75	52.26	54.77	56.10	1	0.0375
♀	0.0575	49.06	50.40	52.94	55.48	56.82	1	0.0374
♀	0.0767	49.71	51.07	53.63	56.19	57.55	1	0.0373
♀	0.0958	50.37	51.73	54.31	56.89	58.25	1	0.0370
♀	0.1150	51.01	52.39	54.99	57.59	58.97	1	0.0369
♀	0.1342	51.65	53.04	55.67	58.30	59.69	1	0.0368
♀	0.1533	52.29	53.69	56.35	59.01	60.41	1	0.0368
♀	0.1725	52.92	54.34	57.02	59.70	61.12	1	0.0367
♀	0.1916	53.54	54.97	57.68	60.39	61.82	1	0.0366
♀	0.2300	54.77	56.23	58.97	61.71	63.17	1	0.0363
♀	0.2683	55.97	57.44	60.22	63.00	64.47	1	0.0360
♀	0.3066	57.11	58.60	61.41	64.22	65.71	1	0.0357
♀	0.3450	58.19	59.69	62.54	65.39	66.89	1	0.0355
♀	0.3833	59.19	60.71	63.60	66.49	68.01	1	0.0354
♀	0.4216	60.13	61.68	64.60	67.52	69.07	1	0.0353
♀	0.4600	61.03	62.59	65.54	68.49	70.05	1	0.0351
♀	0.4983	61.87	63.44	66.41	69.38	70.95	1	0.0349
♀	0.5366	62.64	64.22	67.22	70.22	71.80	1	0.0348
♀	0.6133	64.06	65.67	68.73	71.79	73.40	1	0.0347
♀	0.6899	65.36	67.00	70.11	73.22	74.86	1	0.0346
♀	0.7666	66.58	68.25	71.41	74.57	76.24	1	0.0345
♀	0.8433	67.76	69.46	72.66	75.86	77.56	1	0.0344
♀	0.9199	68.89	70.62	73.89	77.16	78.89	1	0.0345
♀	0.9966	70.00	71.76	75.09	78.42	80.18	1	0.0346
♀	2.0000	81.32	83.45	87.49	91.53	93.66	1	0.0360
♀	3.0000	89.39	91.91	96.65	101.39	103.91	1	0.0383
♀	4.0000	96.32	99.14	104.45	109.76	112.58	1	0.0397
♀	5.0000	102.84	105.94	111.78	117.62	120.72	1	0.0408
♀	6.0000	108.97	112.35	118.72	125.09	128.47	1	0.0419
♀	7.0000	114.67	118.30	125.17	132.04	135.67	1	0.0428
♀	8.0000	120.23	124.13	131.49	138.85	142.75	1	0.0437
♀	9.0000	125.54	129.69	137.51	145.33	149.48	1	0.0444
♀	10.0000	130.70	135.06	143.31	151.56	155.92	1	0.0449
♀	11.0000	136.03	140.59	149.19	157.79	162.35	1	0.0450
♀	12.0000	141.88	146.51	155.27	164.03	168.66	1	0.0440
♀	13.0000	147.54	152.14	160.84	169.54	174.14	1	0.0422
♀	14.0000	151.62	156.16	164.73	173.30	177.84	1	0.0406
♀	15.0000	154.15	158.64	167.12	175.60	180.09	1	0.0396
♀	16.0000	155.71	160.16	168.56	176.96	181.41	1	0.0389
♀	17.0000	156.51	160.93	169.28	177.63	182.05	1	0.0385
♀	18.0000	157.01	161.42	169.75	178.08	182.49	1	0.0383
♀	19.0000	157.47	161.87	170.18	178.49	182.89	1	0.0381
♀	20.0000	157.77	162.17	170.47	178.77	183.17	1	0.0380
♀	21.0000	157.92	162.30	170.59	178.88	183.26	1	0.0379

HEIGHTT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	47.58	48.94	51.50	54.06	55.42	1	0.0388
♂	0.0192	48.31	49.67	52.25	54.83	56.19	1	0.0385
♂	0.0383	49.04	50.41	53.01	55.61	56.98	1	0.0382
♂	0.0575	49.77	51.15	53.76	56.37	57.75	1	0.0379
♂	0.0767	50.48	51.87	54.50	57.13	58.52	1	0.0376
♂	0.0958	51.20	52.60	55.24	57.88	59.28	1	0.0373
♂	0.1150	51.93	53.34	55.99	58.64	60.05	1	0.0370
♂	0.1342	52.65	54.06	56.73	59.40	60.81	1	0.0367
♂	0.1533	53.36	54.78	57.46	60.14	61.56	1	0.0364
♂	0.1725	54.08	55.51	58.20	60.89	62.32	1	0.0361
♂	0.1916	54.79	56.22	58.92	61.62	63.05	1	0.0358
♂	0.2300	56.17	57.61	60.33	63.05	64.49	1	0.0352
♂	0.2683	57.50	58.95	61.68	64.41	65.86	1	0.0346
♂	0.3066	58.77	60.23	62.97	65.71	67.17	1	0.0340
♂	0.3450	59.98	61.44	64.20	66.96	68.42	1	0.0335
♂	0.3833	61.12	62.59	65.36	68.13	69.60	1	0.0331
♂	0.4216	62.20	63.67	66.46	69.25	70.72	1	0.0327
♂	0.4600	63.23	64.71	67.50	70.29	71.77	1	0.0323
♂	0.4983	64.15	65.64	68.46	71.28	72.77	1	0.0321
♂	0.5366	65.02	66.52	69.36	72.20	73.70	1	0.0319
♂	0.6133	66.57	68.10	70.98	73.86	75.39	1	0.0317
♂	0.6899	67.92	69.48	72.43	75.38	76.94	1	0.0318
♂	0.7666	69.13	70.74	73.76	76.78	78.39	1	0.0320
♂	0.8433	70.23	71.88	74.99	78.10	79.75	1	0.0324
♂	0.9199	71.26	72.96	76.16	79.36	81.06	1	0.0328
♂	0.9966	72.24	73.98	77.27	80.56	82.30	1	0.0332
♂	2.0000	81.67	83.88	88.04	92.20	94.41	1	0.0369
♂	3.0000	89.98	92.45	97.12	101.79	104.26	1	0.0375
♂	4.0000	96.78	99.55	104.77	109.99	112.76	1	0.0389
♂	5.0000	102.66	105.72	111.51	117.30	120.36	1	0.0405
♂	6.0000	108.16	111.41	117.56	123.71	126.96	1	0.0408
♂	7.0000	113.20	116.52	122.78	129.04	132.36	1	0.0398
♂	8.0000	118.34	121.72	128.11	134.50	137.88	1	0.0389
♂	9.0000	123.68	127.27	134.06	140.85	144.44	1	0.0395
♂	10.0000	127.51	131.45	138.89	146.33	150.27	1	0.0418
♂	11.0000	130.74	135.13	143.42	151.71	156.10	1	0.0451
♂	12.0000	134.86	139.78	149.06	158.34	163.26	1	0.0486
♂	13.0000	140.99	146.30	156.34	166.38	171.69	1	0.0501
♂	14.0000	148.22	153.46	163.36	173.26	178.50	1	0.0473
♂	15.0000	153.90	158.74	167.88	177.02	181.86	1	0.0425
♂	16.0000	157.95	162.39	170.77	179.15	183.59	1	0.0383
♂	17.0000	160.52	164.67	172.52	180.37	184.52	1	0.0355
♂	18.0000	161.67	165.70	173.32	180.94	184.97	1	0.0343
♂	19.0000	161.90	165.90	173.46	181.02	185.02	1	0.0340
♂	20.0000	162.64	166.56	173.96	181.36	185.28	1	0.0332
♀	0.0000	46.34	47.81	50.57	53.33	54.79	1	0.0426
♀	0.0192	47.02	48.50	51.29	54.08	55.56	1	0.0425
♀	0.0383	47.67	49.17	52.00	54.83	56.33	1	0.0425
♀	0.0575	48.34	49.86	52.72	55.59	57.10	1	0.0424
♀	0.0767	48.97	50.50	53.40	56.29	57.82	1	0.0423
♀	0.0958	49.59	51.14	54.07	57.00	58.55	1	0.0423
♀	0.1150	50.21	51.78	54.74	57.70	59.27	1	0.0422
♀	0.1342	50.82	52.41	55.41	58.40	59.99	1	0.0422
♀	0.1533	51.44	53.04	56.06	59.09	60.69	1	0.0421
♀	0.1725	52.03	53.65	56.71	59.77	61.39	1	0.0421
♀	0.1916	52.63	54.27	57.35	60.44	62.07	1	0.0420
♀	0.2300	53.78	55.44	58.59	61.74	63.40	1	0.0419
♀	0.2683	54.89	56.58	59.77	62.97	64.66	1	0.0417
♀	0.3066	55.96	57.67	60.91	64.15	65.87	1	0.0415
♀	0.3450	56.99	58.73	62.02	65.31	67.05	1	0.0414
♀	0.3833	58.00	59.76	63.10	66.43	68.19	1	0.0412
♀	0.4216	58.99	60.77	64.13	67.49	69.27	1	0.0409
♀	0.4600	59.93	61.73	65.12	68.52	70.32	1	0.0407
♀	0.4983	60.84	62.65	66.08	69.50	71.31	1	0.0404
♀	0.5366	61.72	63.54	66.98	70.42	72.25	1	0.0401
♀	0.6133	63.33	65.17	68.66	72.14	73.99	1	0.0396
♀	0.6899	64.80	66.65	70.16	73.67	75.52	1	0.0390
♀	0.7666	66.12	68.00	71.53	75.07	76.95	1	0.0386
♀	0.8433	67.37	69.26	72.82	76.39	78.28	1	0.0382
♀	0.9199	68.53	70.43	74.03	77.62	79.53	1	0.0379
♀	0.9966	69.62	71.53	75.15	78.78	80.69	1	0.0376
♀	2.0000	81.12	83.37	87.62	91.88	94.13	1	0.0379
♀	3.0000	89.34	91.85	96.59	101.33	103.84	1	0.0383
♀	4.0000	96.27	98.99	104.13	109.27	111.99	1	0.0385
♀	5.0000	101.55	104.42	109.86	115.29	118.17	1	0.0386
♀	6.0000	106.19	109.22	114.93	120.65	123.67	1	0.0388
♀	7.0000	111.20	114.43	120.55	126.67	129.91	1	0.0396
♀	8.0000	116.71	120.29	127.07	133.84	137.43	1	0.0416
♀	9.0000	121.84	125.84	133.39	140.95	144.95	1	0.0442
♀	10.0000	126.85	131.21	139.45	147.69	152.05	1	0.0461
♀	11.0000	132.14	136.69	145.30	153.90	158.45	1	0.0462
♀	12.0000	138.39	142.86	151.32	159.77	164.25	1	0.0436
♀	13.0000	143.45	147.69	155.69	163.69	167.93	1	0.0401
♀	14.0000	146.20	150.26	157.93	165.60	169.66	1	0.0379
♀	15.0000	147.81	151.75	159.20	166.65	170.59	1	0.0365
♀	16.0000	148.20	152.11	159.49	166.86	170.77	1	0.0361
♀	17.0000	148.41	152.30	159.65	166.99	170.88	1	0.0359
♀	18.0000	148.74	152.60	159.90	167.20	171.06	1	0.0356
♀	19.0000	149.14	152.97	160.20	167.42	171.25	1	0.0352
♀	20.0000	149.84	153.60	160.70	167.81	171.57	1	0.0345

HEIGHTM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	47.22	48.53	51.00	53.47	54.78	1	0.0378
♂	0.0192	47.91	49.23	51.72	54.21	55.53	1	0.0376
♂	0.0383	48.63	49.95	52.45	54.95	56.27	1	0.0372
♂	0.0575	49.37	50.71	53.23	55.75	57.09	1	0.0370
♂	0.0767	50.12	51.46	54.00	56.54	57.88	1	0.0367
♂	0.0958	50.86	52.22	54.78	57.34	58.70	1	0.0365
♂	0.1150	51.59	52.96	55.54	58.12	59.49	1	0.0363
♂	0.1342	52.33	53.70	56.30	58.90	60.27	1	0.0360
♂	0.1533	53.05	54.43	57.05	59.67	61.05	1	0.0358
♂	0.1725	53.75	55.14	57.78	60.42	61.81	1	0.0356
♂	0.1916	54.43	55.84	58.49	61.14	62.55	1	0.0354
♂	0.2300	55.77	57.19	59.87	62.55	63.97	1	0.0349
♂	0.2683	57.03	58.47	61.17	63.87	65.31	1	0.0345
♂	0.3066	58.22	59.67	62.40	65.13	66.58	1	0.0342
♂	0.3450	59.37	60.83	63.58	66.33	67.79	1	0.0338
♂	0.3833	60.46	61.93	64.71	67.49	68.96	1	0.0335
♂	0.4216	61.51	62.99	65.80	68.61	70.09	1	0.0333
♂	0.4600	62.53	64.02	66.85	69.68	71.17	1	0.0330
♂	0.4983	63.47	64.99	67.85	70.71	72.23	1	0.0329
♂	0.5366	64.40	65.93	68.82	71.71	73.24	1	0.0328
♂	0.6133	66.08	67.65	70.61	73.57	75.14	1	0.0327
♂	0.6899	67.58	69.18	72.21	75.24	76.84	1	0.0327
♂	0.7666	68.88	70.53	73.64	76.75	78.40	1	0.0330
♂	0.8433	70.03	71.72	74.92	78.12	79.81	1	0.0333
♂	0.9199	71.06	72.79	76.07	79.35	81.08	1	0.0336
♂	0.9966	71.96	73.74	77.11	80.48	82.26	1	0.0341
♂	2.0000	81.04	83.33	87.67	92.01	94.30	1	0.0386
♂	3.0000	88.77	91.37	96.28	101.19	103.79	1	0.0398
♂	4.0000	95.62	98.46	103.82	109.18	112.02	1	0.0403
♂	5.0000	101.40	104.47	110.28	116.09	119.16	1	0.0411
♂	6.0000	106.65	109.97	116.24	122.51	125.83	1	0.0421
♂	7.0000	111.89	115.46	122.21	128.96	132.53	1	0.0431
♂	8.0000	117.08	120.85	127.99	135.13	138.90	1	0.0435
♂	9.0000	121.94	125.91	133.42	140.93	144.90	1	0.0439
♂	10.0000	126.58	130.77	138.70	146.63	150.82	1	0.0446
♂	11.0000	130.41	134.86	143.27	151.68	156.13	1	0.0458
♂	12.0000	134.27	139.07	148.12	157.17	161.97	1	0.0477
♂	13.0000	138.86	144.02	153.78	163.54	168.70	1	0.0495
♂	14.0000	144.94	150.25	160.27	170.29	175.60	1	0.0488
♂	15.0000	152.10	157.18	166.78	176.38	181.46	1	0.0449
♂	16.0000	157.45	162.22	171.24	180.26	185.03	1	0.0411
♂	17.0000	160.26	164.84	173.49	182.14	186.72	1	0.0389
♂	18.0000	160.96	165.48	174.02	182.56	187.08	1	0.0383
♂	19.0000	161.36	165.85	174.34	182.83	187.32	1	0.0380
♂	20.0000	161.82	166.27	174.69	183.11	187.56	1	0.0376
♀	0.0000	45.42	46.97	49.90	52.83	54.38	1	0.0458
♀	0.0192	46.08	47.64	50.60	53.56	55.12	1	0.0456
♀	0.0383	46.69	48.27	51.25	54.23	55.81	1	0.0454
♀	0.0575	47.41	49.00	52.01	55.02	56.61	1	0.0451
♀	0.0767	48.13	49.73	52.77	55.81	57.41	1	0.0449
♀	0.0958	48.83	50.45	53.52	56.59	58.21	1	0.0447
♀	0.1150	49.55	51.18	54.27	57.36	58.99	1	0.0444
♀	0.1342	50.24	51.89	55.01	58.13	59.78	1	0.0442
♀	0.1533	50.95	52.61	55.75	58.89	60.55	1	0.0439
♀	0.1725	51.63	53.31	56.47	59.63	61.31	1	0.0437
♀	0.1916	52.33	54.01	57.19	60.37	62.05	1	0.0434
♀	0.2300	53.65	55.35	58.57	61.79	63.49	1	0.0429
♀	0.2683	54.90	56.63	59.88	63.13	64.86	1	0.0424
♀	0.3066	56.11	57.85	61.13	64.41	66.15	1	0.0419
♀	0.3450	57.25	59.00	62.31	65.62	67.37	1	0.0414
♀	0.3833	58.35	60.11	63.44	66.77	68.53	1	0.0409
♀	0.4216	59.40	61.17	64.51	67.85	69.62	1	0.0404
♀	0.4600	60.39	62.16	65.51	68.86	70.63	1	0.0399
♀	0.4983	61.33	63.10	66.46	69.82	71.59	1	0.0394
♀	0.5366	62.22	63.99	67.35	70.71	72.48	1	0.0389
♀	0.6133	63.83	65.61	68.97	72.33	74.11	1	0.0380
♀	0.6899	65.27	67.04	70.40	73.76	75.53	1	0.0372
♀	0.7666	66.54	68.32	71.68	75.04	76.82	1	0.0366
♀	0.8433	67.68	69.46	72.82	76.18	77.96	1	0.0360
♀	0.9199	68.72	70.50	73.86	77.22	79.00	1	0.0355
♀	0.9966	69.72	71.49	74.85	78.21	79.98	1	0.0350
♀	2.0000	81.17	83.10	86.76	90.42	92.35	1	0.0329
♀	3.0000	88.38	90.61	94.83	99.05	101.28	1	0.0347
♀	4.0000	94.76	97.41	102.41	107.41	110.06	1	0.0381
♀	5.0000	100.13	103.20	109.00	114.80	117.87	1	0.0415
♀	6.0000	104.78	108.19	114.64	121.09	124.50	1	0.0439
♀	7.0000	109.50	113.20	120.19	127.18	130.88	1	0.0454
♀	8.0000	114.81	118.80	126.35	133.90	137.89	1	0.0466
♀	9.0000	120.13	124.38	132.41	140.44	144.69	1	0.0473
♀	10.0000	125.28	129.68	137.99	146.30	150.70	1	0.0470
♀	11.0000	131.13	135.58	144.00	152.42	156.87	1	0.0456
♀	12.0000	137.82	142.20	150.47	158.74	163.12	1	0.0429
♀	13.0000	143.48	147.69	155.65	163.61	167.82	1	0.0399
♀	14.0000	146.88	150.94	158.60	166.26	170.32	1	0.0377
♀	15.0000	148.30	152.27	159.79	167.31	171.28	1	0.0367
♀	16.0000	148.93	152.86	160.30	167.74	171.67	1	0.0362
♀	17.0000	149.09	153.02	160.44	167.86	171.79	1	0.0361
♀	18.0000	149.66	153.56	160.92	168.28	172.18	1	0.0357
♀	19.0000	150.05	153.93	161.24	168.55	172.43	1	0.0354
♀	20.0000	150.15	154.01	161.31	168.61	172.47	1	0.0353

WEIGHTN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	2.78	3.04	3.55	4.09	4.38	0.629	0.115
♂	0.0192	2.94	3.21	3.75	4.32	4.63	0.617	0.115
♂	0.0383	3.09	3.38	3.94	4.54	4.87	0.604	0.115
♂	0.0575	3.24	3.54	4.13	4.76	5.10	0.592	0.115
♂	0.0767	3.40	3.71	4.33	4.99	5.35	0.580	0.115
♂	0.0958	3.56	3.88	4.53	5.22	5.60	0.569	0.115
♂	0.1150	3.72	4.05	4.72	5.43	5.83	0.557	0.114
♂	0.1342	3.88	4.23	4.92	5.66	6.07	0.546	0.114
♂	0.1533	4.03	4.39	5.11	5.88	6.31	0.534	0.114
♂	0.1725	4.18	4.55	5.30	6.10	6.55	0.523	0.114
♂	0.1916	4.32	4.71	5.48	6.31	6.77	0.512	0.114
♂	0.2300	4.61	5.02	5.84	6.73	7.22	0.490	0.114
♂	0.2683	4.89	5.32	6.19	7.13	7.66	0.468	0.114
♂	0.3066	5.16	5.60	6.51	7.49	8.04	0.448	0.113
♂	0.3450	5.40	5.87	6.82	7.85	8.43	0.428	0.113
♂	0.3833	5.64	6.12	7.11	8.18	8.79	0.409	0.113
♂	0.4216	5.86	6.37	7.39	8.51	9.14	0.391	0.113
♂	0.4600	6.07	6.59	7.65	8.81	9.46	0.373	0.113
♂	0.4983	6.26	6.80	7.89	9.09	9.76	0.357	0.113
♂	0.5366	6.45	7.00	8.12	9.35	10.05	0.341	0.113
♂	0.6133	6.81	7.38	8.55	9.84	10.57	0.311	0.112
♂	0.6899	7.13	7.73	8.95	10.30	11.07	0.285	0.112
♂	0.7666	7.42	8.03	9.30	10.71	11.51	0.260	0.112
♂	0.8433	7.69	8.32	9.63	11.09	11.93	0.237	0.112
♂	0.9199	7.94	8.59	9.94	11.45	12.32	0.216	0.112
♂	0.9966	8.17	8.84	10.23	11.79	12.68	0.196	0.112
♂	2.0000	10.41	11.25	13.02	15.07	16.27	0.014	0.114
♂	3.0000	12.11	13.09	15.19	17.67	19.16	-0.116	0.117
♂	4.0000	13.81	14.94	17.42	20.43	22.28	-0.239	0.122
♂	5.0000	15.62	16.92	19.82	23.44	25.72	-0.359	0.127
♂	6.0000	17.46	18.96	22.37	26.76	29.61	-0.469	0.134
♂	7.0000	19.36	21.07	25.03	30.28	33.80	-0.560	0.141
♂	8.0000	21.34	23.29	27.86	34.09	38.37	-0.627	0.148
♂	9.0000	23.32	25.52	30.76	38.06	43.17	-0.659	0.155
♂	10.0000	25.32	27.81	33.79	42.23	48.22	-0.651	0.162
♂	11.0000	27.51	30.37	37.23	46.94	53.83	-0.591	0.169
♂	12.0000	30.17	33.51	41.48	52.56	60.27	-0.464	0.175
♂	13.0000	33.51	37.47	46.77	59.32	67.77	-0.302	0.179
♂	14.0000	37.83	42.38	52.87	66.56	75.49	-0.180	0.176
♂	15.0000	42.71	47.63	58.82	73.09	82.22	-0.138	0.167
♂	16.0000	47.29	52.37	63.77	78.12	87.20	-0.148	0.156
♂	17.0000	50.91	56.02	67.43	81.67	90.62	-0.174	0.147
♂	18.0000	53.63	58.74	70.06	84.10	92.90	-0.199	0.140
♂	19.0000	55.70	60.79	72.04	85.93	94.61	-0.217	0.135
♂	20.0000	57.54	62.59	73.70	87.35	95.84	-0.232	0.130
♂	21.0000	59.23	64.26	75.28	88.77	97.13	-0.247	0.126
♀	0.0000	2.64	2.87	3.34	3.86	4.15	0.369	0.115
♀	0.0192	2.77	3.02	3.51	4.05	4.36	0.359	0.115
♀	0.0383	2.92	3.17	3.69	4.26	4.58	0.349	0.115
♀	0.0575	3.05	3.32	3.86	4.46	4.80	0.339	0.115
♀	0.0767	3.19	3.46	4.03	4.65	5.01	0.328	0.115
♀	0.0958	3.33	3.62	4.21	4.86	5.23	0.319	0.115
♀	0.1150	3.47	3.77	4.38	5.05	5.44	0.309	0.114
♀	0.1342	3.62	3.93	4.56	5.26	5.66	0.300	0.114
♀	0.1533	3.75	4.07	4.73	5.46	5.87	0.289	0.114
♀	0.1725	3.90	4.23	4.90	5.65	6.07	0.280	0.113
♀	0.1916	4.03	4.37	5.07	5.84	6.29	0.270	0.113
♀	0.2300	4.30	4.66	5.40	6.23	6.70	0.251	0.113
♀	0.2683	4.57	4.94	5.72	6.59	7.09	0.233	0.112
♀	0.3066	4.82	5.21	6.03	6.95	7.47	0.215	0.112
♀	0.3450	5.05	5.46	6.32	7.28	7.83	0.198	0.112
♀	0.3833	5.28	5.71	6.59	7.58	8.16	0.182	0.111
♀	0.4216	5.49	5.93	6.85	7.88	8.48	0.166	0.111
♀	0.4600	5.69	6.15	7.10	8.17	8.79	0.152	0.111
♀	0.4983	5.89	6.36	7.33	8.43	9.07	0.137	0.110
♀	0.5366	6.07	6.55	7.55	8.68	9.34	0.124	0.110
♀	0.6133	6.39	6.90	7.95	9.14	9.84	0.099	0.110
♀	0.6899	6.69	7.22	8.32	9.57	10.30	0.076	0.110
♀	0.7666	6.97	7.52	8.66	9.97	10.73	0.056	0.110
♀	0.8433	7.24	7.80	8.97	10.31	11.10	0.036	0.109
♀	0.9199	7.47	8.05	9.27	10.67	11.50	0.018	0.110
♀	0.9966	7.70	8.29	9.55	11.00	11.85	0.002	0.110
♀	2.0000	9.91	10.68	12.32	14.26	15.44	-0.158	0.113
♀	3.0000	11.73	12.66	14.68	17.13	18.65	-0.281	0.118
♀	4.0000	13.43	14.52	16.94	19.96	21.87	-0.390	0.124
♀	5.0000	15.06	16.33	19.21	22.92	25.33	-0.488	0.132
♀	6.0000	16.85	18.33	21.77	26.35	29.42	-0.579	0.141
♀	7.0000	18.83	20.57	24.68	30.35	34.29	-0.654	0.151
♀	8.0000	20.90	22.93	27.80	34.74	39.70	-0.698	0.161
♀	9.0000	22.93	25.29	31.04	39.43	45.59	-0.698	0.172
♀	10.0000	25.08	27.81	34.52	44.39	51.66	-0.648	0.181
♀	11.0000	27.46	30.64	38.46	49.88	58.21	-0.553	0.189
♀	12.0000	30.59	34.28	43.21	55.89	64.85	-0.432	0.190
♀	13.0000	34.80	38.81	48.32	61.32	70.18	-0.366	0.178
♀	14.0000	39.12	43.19	52.70	65.49	74.10	-0.420	0.162
♀	15.0000	42.64	46.65	56.00	68.62	77.18	-0.552	0.150
♀	16.0000	45.19	49.13	58.37	71.02	79.74	-0.700	0.143
♀	17.0000	46.96	50.85	60.04	72.80	81.74	-0.825	0.139
♀	18.0000	48.28	52.13	61.27	74.09	83.20	-0.923	0.136
♀	19.0000	49.31	53.13	62.25	75.16	84.44	-1.003	0.134
♀	20.0000	50.20	54.00	63.08	76.02	85.40	-1.070	0.132
♀	21.0000	50.97	54.75	63.85	76.92	86.48	-1.133	0.131

WEIGHTT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	2.70	2.95	3.44	3.97	4.27	0.4975	0.1165
♂	0.0192	2.90	3.17	3.70	4.27	4.59	0.4900	0.1165
♂	0.0383	3.14	3.43	4.00	4.62	4.97	0.4825	0.1165
♂	0.0575	3.30	3.60	4.20	4.85	5.22	0.4758	0.1164
♂	0.0767	3.46	3.77	4.40	5.08	5.46	0.4691	0.1164
♂	0.0958	3.61	3.93	4.59	5.30	5.70	0.4624	0.1164
♂	0.1150	3.76	4.10	4.79	5.53	5.95	0.4557	0.1164
♂	0.1342	3.92	4.28	4.99	5.76	6.20	0.4491	0.1163
♂	0.1533	4.07	4.44	5.18	5.98	6.44	0.4424	0.1163
♂	0.1725	4.22	4.60	5.37	6.20	6.67	0.4357	0.1163
♂	0.1916	4.37	4.77	5.56	6.42	6.91	0.4291	0.1163
♂	0.2300	4.68	5.09	5.94	6.86	7.38	0.4159	0.1162
♂	0.2683	4.96	5.40	6.30	7.28	7.83	0.4028	0.1162
♂	0.3066	5.23	5.70	6.64	7.67	8.26	0.3899	0.1161
♂	0.3450	5.49	5.98	6.97	8.06	8.67	0.3771	0.1161
♂	0.3833	5.75	6.26	7.29	8.43	9.07	0.3646	0.1161
♂	0.4216	5.99	6.51	7.59	8.77	9.45	0.3522	0.1161
♂	0.4600	6.22	6.76	7.88	9.11	9.81	0.3401	0.1161
♂	0.4983	6.43	7.00	8.15	9.42	10.15	0.3283	0.1161
♂	0.5366	6.64	7.22	8.41	9.73	10.48	0.3167	0.1161
♂	0.6133	7.02	7.63	8.88	10.27	11.07	0.2943	0.1162
♂	0.6899	7.36	8.00	9.31	10.77	11.61	0.2731	0.1163
♂	0.7666	7.67	8.33	9.70	11.23	12.11	0.2529	0.1164
♂	0.8433	7.95	8.64	10.06	11.65	12.57	0.2339	0.1166
♂	0.9199	8.22	8.92	10.39	12.04	12.99	0.2160	0.1168
♂	0.9966	8.46	9.19	10.70	12.40	13.39	0.1991	0.1170
♂	2.0000	10.62	11.53	13.46	15.69	17.01	0.0460	0.1202
♂	3.0000	12.20	13.26	15.53	18.22	19.84	-0.0582	0.1240
♂	4.0000	13.77	14.99	17.65	20.88	22.86	-0.1592	0.1293
♂	5.0000	15.42	16.83	19.97	23.88	26.35	-0.2651	0.1364
♂	6.0000	17.21	18.84	22.55	27.34	30.46	-0.3760	0.1450
♂	7.0000	19.00	20.86	25.20	31.02	34.94	-0.4820	0.1543
♂	8.0000	20.90	23.02	28.06	35.10	40.04	-0.5803	0.1639
♂	9.0000	23.02	25.43	31.33	39.92	46.20	-0.6668	0.1746
♂	10.0000	25.01	27.74	34.55	44.87	52.72	-0.7235	0.1858
♂	11.0000	26.89	29.96	37.78	50.00	59.62	-0.7439	0.1974
♂	12.0000	29.33	32.85	41.90	56.28	67.78	-0.7201	0.2074
♂	13.0000	32.93	37.02	47.43	63.70	76.43	-0.6419	0.2097
♂	14.0000	37.34	41.97	53.49	70.65	83.38	-0.5280	0.2019
♂	15.0000	41.62	46.60	58.62	75.56	87.46	-0.4196	0.1879
♂	16.0000	45.32	50.46	62.50	78.70	89.58	-0.3328	0.1731
♂	17.0000	48.18	53.37	65.25	80.68	90.73	-0.2641	0.1611
♂	18.0000	50.20	55.38	67.07	81.89	91.34	-0.2131	0.1525
♂	19.0000	51.62	56.79	68.30	82.66	91.69	-0.1763	0.1464
♂	20.0000	52.74	57.88	69.24	83.23	91.94	-0.1471	0.1417
♀	0.0000	2.44	2.73	3.26	3.77	4.03	1.2750	0.1238
♀	0.0192	2.66	2.97	3.55	4.10	4.39	1.2620	0.1239
♀	0.0383	2.85	3.18	3.80	4.39	4.70	1.2481	0.1239
♀	0.0575	2.98	3.33	3.98	4.60	4.92	1.2351	0.1240
♀	0.0767	3.11	3.48	4.15	4.80	5.13	1.2222	0.1240
♀	0.0958	3.25	3.63	4.33	5.01	5.36	1.2092	0.1240
♀	0.1150	3.38	3.77	4.50	5.21	5.57	1.1963	0.1241
♀	0.1342	3.51	3.92	4.68	5.41	5.80	1.1834	0.1241
♀	0.1533	3.64	4.07	4.85	5.61	6.01	1.1705	0.1242
♀	0.1725	3.77	4.21	5.02	5.81	6.22	1.1576	0.1242
♀	0.1916	3.90	4.35	5.19	6.01	6.43	1.1447	0.1242
♀	0.2300	4.16	4.64	5.53	6.40	6.86	1.1192	0.1243
♀	0.2683	4.41	4.91	5.85	6.78	7.26	1.0939	0.1244
♀	0.3066	4.64	5.17	6.16	7.14	7.65	1.0688	0.1244
♀	0.3450	4.87	5.43	6.46	7.49	8.03	1.0441	0.1245
♀	0.3833	5.10	5.67	6.75	7.83	8.39	1.0197	0.1245
♀	0.4216	5.31	5.90	7.02	8.14	8.73	0.9957	0.1245
♀	0.4600	5.51	6.12	7.28	8.44	9.06	0.9721	0.1245
♀	0.4983	5.70	6.33	7.53	8.74	9.38	0.9489	0.1245
♀	0.5366	5.89	6.54	7.77	9.02	9.68	0.9263	0.1245
♀	0.6133	6.23	6.91	8.20	9.52	10.23	0.8824	0.1244
♀	0.6899	6.54	7.24	8.59	9.98	10.72	0.8405	0.1243
♀	0.7666	6.83	7.55	8.95	10.40	11.18	0.8007	0.1242
♀	0.8433	7.10	7.84	9.29	10.79	11.61	0.7629	0.1241
♀	0.9199	7.35	8.11	9.60	11.16	12.01	0.7271	0.1241
♀	0.9966	7.58	8.36	9.89	11.50	12.38	0.6930	0.1240
♀	2.0000	9.99	10.96	12.93	15.11	16.36	0.3701	0.1254
♀	3.0000	11.96	13.09	15.49	18.25	19.88	0.1468	0.1296
♀	4.0000	13.73	15.04	17.89	21.30	23.37	-0.0361	0.1356
♀	5.0000	15.00	16.46	19.69	23.68	26.17	-0.1642	0.1419
♀	6.0000	16.23	17.85	21.50	26.17	29.16	-0.2798	0.1491
♀	7.0000	17.72	19.55	23.80	29.45	33.23	-0.3942	0.1595
♀	8.0000	19.61	21.75	26.89	34.07	39.08	-0.4905	0.1743
♀	9.0000	21.84	24.44	30.82	40.13	46.91	-0.5223	0.1924
♀	10.0000	24.26	27.45	35.38	47.09	55.68	-0.4429	0.2096
♀	11.0000	26.96	30.83	40.36	54.10	63.89	-0.3004	0.2189
♀	12.0000	30.49	34.87	45.51	60.52	70.99	-0.2475	0.2148
♀	13.0000	34.71	39.22	50.23	65.93	77.04	-0.3664	0.2020
♀	14.0000	38.30	42.74	53.68	69.79	81.64	-0.5750	0.1901
♀	15.0000	40.77	45.10	55.92	72.30	84.80	-0.7575	0.1822
♀	16.0000	42.25	46.52	57.24	73.77	86.69	-0.8773	0.1775
♀	17.0000	43.07	47.30	57.96	74.56	87.71	-0.9454	0.1749
♀	18.0000	43.49	47.70	58.33	74.96	88.21	-0.9802	0.1735
♀	19.0000	43.76	47.96	58.57	75.23	88.57	-1.0031	0.1727
♀	20.0000	44.04	48.22	58.81	75.48	88.88	-1.0251	0.1718

WEIGHTM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	2.77	3.05	3.57	4.06	4.31	1.3800	0.1096
♂	0.0192	3.02	3.33	3.89	4.42	4.70	1.3610	0.1097
♂	0.0383	3.24	3.57	4.17	4.74	5.04	1.3417	0.1097
♂	0.0575	3.39	3.73	4.36	4.96	5.27	1.3232	0.1097
♂	0.0767	3.53	3.89	4.54	5.17	5.49	1.3048	0.1098
♂	0.0958	3.67	4.04	4.72	5.37	5.71	1.2863	0.1098
♂	0.1150	3.82	4.21	4.91	5.59	5.94	1.2678	0.1098
♂	0.1342	3.96	4.36	5.09	5.80	6.16	1.2494	0.1099
♂	0.1533	4.10	4.51	5.27	6.00	6.38	1.2310	0.1099
♂	0.1725	4.24	4.67	5.45	6.21	6.60	1.2126	0.1100
♂	0.1916	4.39	4.82	5.63	6.41	6.82	1.1943	0.1100
♂	0.2300	4.67	5.13	5.98	6.81	7.25	1.1579	0.1101
♂	0.2683	4.94	5.42	6.32	7.21	7.67	1.1219	0.1102
♂	0.3066	5.19	5.70	6.64	7.57	8.06	1.0863	0.1103
♂	0.3450	5.44	5.97	6.96	7.94	8.46	1.0513	0.1105
♂	0.3833	5.68	6.22	7.25	8.28	8.82	1.0169	0.1106
♂	0.4216	5.91	6.47	7.54	8.61	9.18	0.9832	0.1107
♂	0.4600	6.13	6.71	7.82	8.94	9.53	0.9501	0.1109
♂	0.4983	6.34	6.94	8.08	9.24	9.85	0.9178	0.1110
♂	0.5366	6.54	7.15	8.33	9.53	10.17	0.8862	0.1112
♂	0.6133	6.91	7.55	8.79	10.06	10.75	0.8255	0.1115
♂	0.6899	7.25	7.92	9.22	10.56	11.29	0.7681	0.1119
♂	0.7666	7.56	8.26	9.61	11.02	11.79	0.7142	0.1123
♂	0.8433	7.84	8.56	9.96	11.43	12.24	0.6637	0.1127
♂	0.9199	8.10	8.83	10.28	11.81	12.66	0.6165	0.1132
♂	0.9966	8.33	9.08	10.57	12.16	13.03	0.5726	0.1136
♂	2.0000	10.39	11.30	13.19	15.33	16.58	0.1917	0.1192
♂	3.0000	11.94	12.98	15.21	17.85	19.44	-0.0468	0.1244
♂	4.0000	13.38	14.55	17.12	20.28	22.25	-0.2416	0.1296
♂	5.0000	14.90	16.21	19.17	22.96	25.41	-0.4229	0.1356
♂	6.0000	16.54	18.01	21.43	26.01	29.09	-0.5909	0.1427
♂	7.0000	18.26	19.92	23.86	29.39	33.30	-0.7376	0.1508
♂	8.0000	20.04	21.90	26.45	33.12	38.07	-0.8519	0.1597
♂	9.0000	21.90	24.00	29.23	37.21	43.39	-0.9250	0.1688
♂	10.0000	23.86	26.23	32.22	41.62	49.12	-0.9496	0.1773
♂	11.0000	25.96	28.63	35.46	46.32	55.10	-0.9270	0.1846
♂	12.0000	28.32	31.37	39.17	51.54	61.51	-0.8606	0.1908
♂	13.0000	31.18	34.67	43.55	57.45	68.43	-0.7731	0.1946
♂	14.0000	34.83	38.79	48.74	63.98	75.71	-0.7011	0.1933
♂	15.0000	38.99	43.36	54.18	70.27	82.25	-0.6401	0.1869
♂	16.0000	42.77	47.40	58.70	75.03	86.84	-0.6021	0.1780
♂	17.0000	45.86	50.62	62.05	78.23	89.70	-0.5929	0.1689
♂	18.0000	48.34	53.12	64.50	80.34	91.40	-0.5959	0.1606
♂	19.0000	50.47	55.23	66.45	81.83	92.44	-0.6030	0.1527
♂	20.0000	52.46	57.18	68.19	83.07	93.20	-0.6126	0.1451
♀	0.0000	2.50	2.81	3.37	3.92	4.20	1.1640	0.1281
♀	0.0192	2.64	2.96	3.55	4.13	4.43	1.1410	0.1280
♀	0.0383	2.78	3.11	3.73	4.34	4.65	1.1156	0.1280
♀	0.0575	2.91	3.26	3.90	4.53	4.87	1.0894	0.1279
♀	0.0767	3.04	3.40	4.07	4.73	5.08	1.0632	0.1279
♀	0.0958	3.18	3.55	4.25	4.94	5.31	1.0370	0.1279
♀	0.1150	3.31	3.70	4.42	5.14	5.53	1.0108	0.1278
♀	0.1342	3.44	3.84	4.59	5.34	5.74	0.9847	0.1278
♀	0.1533	3.58	3.99	4.77	5.55	5.97	0.9585	0.1277
♀	0.1725	3.71	4.14	4.94	5.75	6.19	0.9325	0.1277
♀	0.1916	3.84	4.27	5.10	5.94	6.39	0.9065	0.1277
♀	0.2300	4.10	4.55	5.43	6.33	6.81	0.8548	0.1276
♀	0.2683	4.35	4.83	5.75	6.70	7.22	0.8035	0.1275
♀	0.3066	4.60	5.10	6.07	7.08	7.63	0.7527	0.1274
♀	0.3450	4.84	5.36	6.37	7.43	8.02	0.7027	0.1274
♀	0.3833	5.07	5.60	6.66	7.78	8.39	0.6533	0.1273
♀	0.4216	5.30	5.84	6.94	8.11	8.76	0.6049	0.1273
♀	0.4600	5.51	6.08	7.21	8.43	9.11	0.5574	0.1272
♀	0.4983	5.73	6.31	7.48	8.75	9.46	0.5109	0.1272
♀	0.5366	5.93	6.52	7.73	9.05	9.79	0.4655	0.1272
♀	0.6133	6.31	6.93	8.20	9.61	10.41	0.3781	0.1272
♀	0.6899	6.66	7.30	8.63	10.12	10.98	0.2954	0.1272
♀	0.7666	6.99	7.65	9.03	10.60	11.51	0.2178	0.1273
♀	0.8433	7.29	7.97	9.40	11.05	12.02	0.1450	0.1275
♀	0.9199	7.56	8.26	9.74	11.46	12.48	0.0772	0.1277
♀	0.9966	7.82	8.54	10.06	11.85	12.92	0.0141	0.1280
♀	2.0000	10.09	10.94	12.89	15.41	17.05	-0.4973	0.1331
♀	3.0000	11.56	12.53	14.80	17.90	20.04	-0.7418	0.1385
♀	4.0000	13.05	14.15	16.79	20.58	23.34	-0.9221	0.1449
♀	5.0000	14.60	15.85	18.94	23.59	27.15	-1.0531	0.1529
♀	6.0000	16.12	17.54	21.13	26.76	31.28	-1.1343	0.1616
♀	7.0000	17.64	19.26	23.40	30.12	35.75	-1.1664	0.1706
♀	8.0000	19.31	21.16	25.96	33.94	40.83	-1.1547	0.1799
♀	9.0000	21.15	23.28	28.84	38.18	46.31	-1.0961	0.1885
♀	10.0000	23.23	25.71	32.19	42.96	52.15	-0.9815	0.1961
♀	11.0000	25.86	28.83	36.47	48.71	58.62	-0.7950	0.2017
♀	12.0000	29.33	32.91	41.86	55.34	65.48	-0.5746	0.2013
♀	13.0000	33.30	37.39	47.36	61.65	71.83	-0.4368	0.1943
♀	14.0000	36.94	41.30	51.71	66.19	76.22	-0.3961	0.1835
♀	15.0000	39.60	44.06	54.60	68.99	78.80	-0.3880	0.1745
♀	16.0000	41.36	45.87	56.44	70.70	80.31	-0.3810	0.1684
♀	17.0000	42.48	47.03	57.64	71.84	81.35	-0.3747	0.1649
♀	18.0000	43.25	47.83	58.46	72.62	82.06	-0.3693	0.1626
♀	19.0000	43.83	48.43	59.09	73.23	82.62	-0.3648	0.1610
♀	20.0000	44.36	48.98	59.67	73.81	83.18	-0.3605	0.1597

BMIN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	10.66	11.26	12.60	14.27	15.34	-0.900	0.0920
♂	0.0192	11.06	11.68	13.05	14.74	15.81	-0.820	0.0905
♂	0.0383	11.39	12.03	13.43	15.14	16.20	-0.746	0.0893
♂	0.0575	11.82	12.48	13.91	15.64	16.71	-0.684	0.0879
♂	0.0767	12.17	12.84	14.30	16.05	17.12	-0.634	0.0868
♂	0.0958	12.45	13.14	14.62	16.38	17.46	-0.592	0.0859
♂	0.1150	12.70	13.40	14.89	16.66	17.73	-0.556	0.0850
♂	0.1342	12.91	13.62	15.13	16.91	17.98	-0.523	0.0843
♂	0.1533	13.10	13.82	15.34	17.13	18.20	-0.494	0.0837
♂	0.1725	13.27	14.00	15.53	17.32	18.40	-0.468	0.0831
♂	0.1916	13.43	14.16	15.70	17.50	18.57	-0.444	0.0826
♂	0.2300	13.70	14.44	16.00	17.80	18.88	-0.403	0.0816
♂	0.2683	13.92	14.67	16.24	18.05	19.12	-0.366	0.0809
♂	0.3066	14.11	14.87	16.45	18.26	19.33	-0.335	0.0802
♂	0.3450	14.28	15.04	16.63	18.45	19.51	-0.308	0.0796
♂	0.3833	14.42	15.19	16.79	18.61	19.68	-0.283	0.0792
♂	0.4216	14.55	15.33	16.93	18.75	19.82	-0.261	0.0787
♂	0.4600	14.66	15.44	17.05	18.88	19.94	-0.242	0.0784
♂	0.4983	14.75	15.53	17.15	18.98	20.04	-0.225	0.0781
♂	0.5366	14.83	15.61	17.23	19.06	20.12	-0.209	0.0778
♂	0.6133	14.94	15.73	17.35	19.18	20.24	-0.183	0.0774
♂	0.6899	15.00	15.79	17.42	19.24	20.30	-0.163	0.0771
♂	0.7666	15.03	15.82	17.44	19.26	20.31	-0.148	0.0768
♂	0.8433	15.03	15.82	17.44	19.25	20.30	-0.136	0.0767
♂	0.9199	15.01	15.79	17.41	19.22	20.26	-0.126	0.0765
♂	0.9966	14.96	15.75	17.36	19.16	20.20	-0.118	0.0765
♂	2.0000	14.07	14.84	16.42	18.17	19.17	-0.007	0.0790
♂	3.0000	13.50	14.28	15.89	17.70	18.74	-0.069	0.0837
♂	4.0000	13.20	13.97	15.61	17.52	18.66	-0.375	0.0882
♂	5.0000	13.11	13.86	15.52	17.59	18.90	-0.852	0.0925
♂	6.0000	13.11	13.84	15.52	17.77	19.30	-1.324	0.0967
♂	7.0000	13.17	13.89	15.61	18.06	19.85	-1.699	0.1006
♂	8.0000	13.32	14.05	15.82	18.46	20.52	-1.948	0.1041
♂	9.0000	13.53	14.27	16.10	18.92	21.22	-2.083	0.1071
♂	10.0000	13.76	14.53	16.43	19.42	21.90	-2.126	0.1097
♂	11.0000	14.05	14.85	16.83	19.96	22.57	-2.097	0.1118
♂	12.0000	14.42	15.25	17.32	20.57	23.26	-2.022	0.1133
♂	13.0000	14.86	15.73	17.90	21.26	24.01	-1.925	0.1144
♂	14.0000	15.35	16.27	18.54	22.01	24.77	-1.821	0.1149
♂	15.0000	15.87	16.84	19.21	22.77	25.55	-1.711	0.1151
♂	16.0000	16.37	17.39	19.85	23.49	26.26	-1.594	0.1152
♂	17.0000	16.81	17.88	20.43	24.12	26.87	-1.466	0.1151
♂	18.0000	17.19	18.30	20.94	24.68	27.38	-1.327	0.1151
♂	19.0000	17.50	18.66	21.37	25.13	27.78	-1.183	0.1150
♂	20.0000	17.76	18.96	21.75	25.52	28.12	-1.038	0.1150
♂	21.0000	18.01	19.25	22.11	25.89	28.43	-0.896	0.1149
♀	0.0000	10.39	11.08	12.50	14.07	14.96	0.150	0.0930
♀	0.0192	10.77	11.47	12.90	14.49	15.41	0.080	0.0912
♀	0.0383	11.09	11.78	13.22	14.83	15.75	0.020	0.0896
♀	0.0575	11.46	12.16	13.62	15.26	16.20	-0.031	0.0884
♀	0.0767	11.77	12.48	13.95	15.61	16.58	-0.081	0.0874
♀	0.0958	12.04	12.75	14.24	15.92	16.90	-0.122	0.0866
♀	0.1150	12.28	13.00	14.50	16.21	17.20	-0.157	0.0860
♀	0.1342	12.51	13.24	14.75	16.47	17.48	-0.186	0.0854
♀	0.1533	12.70	13.43	14.96	16.70	17.72	-0.211	0.0850
♀	0.1725	12.88	13.62	15.16	16.92	17.95	-0.232	0.0846
♀	0.1916	13.04	13.78	15.33	17.10	18.14	-0.250	0.0842
♀	0.2300	13.32	14.06	15.63	17.43	18.48	-0.278	0.0836
♀	0.2683	13.55	14.30	15.88	17.70	18.77	-0.299	0.0831
♀	0.3066	13.74	14.50	16.09	17.92	19.00	-0.314	0.0827
♀	0.3450	13.90	14.67	16.27	18.12	19.21	-0.326	0.0824
♀	0.3833	14.03	14.80	16.41	18.27	19.37	-0.335	0.0822
♀	0.4216	14.14	14.91	16.53	18.39	19.50	-0.343	0.0819
♀	0.4600	14.23	15.00	16.63	18.50	19.61	-0.349	0.0818
♀	0.4983	14.29	15.07	16.70	18.58	19.69	-0.354	0.0816
♀	0.5366	14.35	15.13	16.76	18.64	19.76	-0.359	0.0815
♀	0.6133	14.43	15.21	16.85	18.74	19.86	-0.368	0.0813
♀	0.6899	14.48	15.26	16.90	18.79	19.91	-0.376	0.0812
♀	0.7666	14.50	15.28	16.92	18.81	19.93	-0.386	0.0810
♀	0.8433	14.50	15.28	16.91	18.80	19.92	-0.398	0.0808
♀	0.9199	14.48	15.25	16.87	18.75	19.86	-0.413	0.0805
♀	0.9966	14.44	15.21	16.82	18.69	19.80	-0.430	0.0803
♀	2.0000	13.90	14.59	16.07	17.85	18.94	-0.815	0.0785
♀	3.0000	13.62	14.28	15.74	17.58	18.75	-1.184	0.0807
♀	4.0000	13.32	13.99	15.51	17.50	18.83	-1.416	0.0865
♀	5.0000	13.07	13.76	15.37	17.57	19.12	-1.568	0.0943
♀	6.0000	13.01	13.74	15.47	17.94	19.75	-1.663	0.1024
♀	7.0000	13.07	13.84	15.71	18.46	20.57	-1.712	0.1101
♀	8.0000	13.19	14.01	16.00	19.03	21.41	-1.726	0.1168
♀	9.0000	13.35	14.21	16.32	19.58	22.22	-1.715	0.1222
♀	10.0000	13.60	14.50	16.72	20.19	23.01	-1.690	0.1259
♀	11.0000	13.96	14.89	17.21	20.84	23.80	-1.658	0.1279
♀	12.0000	14.43	15.40	17.82	21.58	24.63	-1.633	0.1283
♀	13.0000	15.01	16.02	18.51	22.37	25.49	-1.627	0.1273
♀	14.0000	15.61	16.64	19.19	23.13	26.30	-1.643	0.1255
♀	15.0000	16.17	17.22	19.81	23.80	27.01	-1.679	0.1233
♀	16.0000	16.67	17.73	20.34	24.37	27.61	-1.727	0.1211
♀	17.0000	17.10	18.16	20.78	24.82	28.08	-1.779	0.1189
♀	18.0000	17.48	18.54	21.16	25.20	28.46	-1.831	0.1167
♀	19.0000	17.82	18.88	21.50	25.54	28.79	-1.879	0.1147
♀	20.0000	18.13	19.19	21.80	25.82	29.08	-1.925	0.1128
♀	21.0000	18.43	19.49	22.09	26.10	29.34	-1.967	0.1110

BMIT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	11.01	11.83	13.30	14.69	15.40	1.500	0.0838
♂	0.0192	11.41	12.22	13.72	15.17	15.92	1.300	0.0838
♂	0.0383	11.76	12.57	14.10	15.61	16.40	1.128	0.0839
♂	0.0575	12.15	12.97	14.53	16.09	16.92	0.977	0.0839
♂	0.0767	12.44	13.27	14.86	16.47	17.33	0.860	0.0840
♂	0.0958	12.70	13.53	15.14	16.79	17.68	0.763	0.0840
♂	0.1150	12.92	13.76	15.39	17.08	17.99	0.678	0.0840
♂	0.1342	13.13	13.97	15.62	17.34	18.28	0.601	0.0840
♂	0.1533	13.31	14.16	15.82	17.57	18.53	0.532	0.0841
♂	0.1725	13.49	14.33	16.01	17.79	18.76	0.469	0.0841
♂	0.1916	13.64	14.49	16.18	17.98	18.98	0.411	0.0841
♂	0.2300	13.91	14.76	16.47	18.31	19.34	0.305	0.0841
♂	0.2683	14.13	14.99	16.72	18.60	19.66	0.212	0.0842
♂	0.3066	14.31	15.17	16.91	18.83	19.91	0.128	0.0843
♂	0.3450	14.47	15.32	17.08	19.03	20.14	0.051	0.0844
♂	0.3833	14.60	15.46	17.22	19.19	20.32	-0.019	0.0844
♂	0.4216	14.71	15.57	17.34	19.34	20.49	-0.084	0.0846
♂	0.4600	14.80	15.66	17.44	19.46	20.63	-0.144	0.0847
♂	0.4983	14.89	15.74	17.53	19.57	20.76	-0.200	0.0848
♂	0.5366	14.95	15.81	17.60	19.65	20.86	-0.252	0.0849
♂	0.6133	15.05	15.90	17.70	19.78	21.02	-0.348	0.0852
♂	0.6899	15.11	15.96	17.76	19.87	21.13	-0.434	0.0854
♂	0.7666	15.15	16.00	17.80	19.93	21.22	-0.511	0.0857
♂	0.8433	15.17	16.01	17.81	19.96	21.26	-0.581	0.0859
♂	0.9199	15.17	16.01	17.81	19.97	21.30	-0.645	0.0862
♂	0.9966	15.16	15.99	17.79	19.96	21.31	-0.704	0.0864
♂	2.0000	14.56	15.32	17.05	19.28	20.75	-1.221	0.0890
♂	3.0000	14.07	14.81	16.51	18.80	20.39	-1.505	0.0922
♂	4.0000	13.80	14.54	16.28	18.72	20.47	-1.681	0.0970
♂	5.0000	13.69	14.45	16.26	18.90	20.88	-1.789	0.1028
♂	6.0000	13.70	14.49	16.41	19.30	21.55	-1.850	0.1092
♂	7.0000	13.79	14.61	16.65	19.81	22.36	-1.876	0.1156
♂	8.0000	13.93	14.79	16.96	20.39	23.26	-1.876	0.1216
♂	9.0000	14.15	15.06	17.36	21.08	24.25	-1.856	0.1271
♂	10.0000	14.40	15.36	17.80	21.78	25.24	-1.821	0.1319
♂	11.0000	14.68	15.69	18.26	22.50	26.20	-1.773	0.1361
♂	12.0000	15.02	16.08	18.79	23.26	27.18	-1.717	0.1395
♂	13.0000	15.42	16.53	19.39	24.09	28.18	-1.654	0.1423
♂	14.0000	15.85	17.03	20.03	24.94	29.16	-1.587	0.1444
♂	15.0000	16.28	17.51	20.65	25.74	30.07	-1.518	0.1461
♂	16.0000	16.67	17.95	21.22	26.46	30.86	-1.447	0.1475
♂	17.0000	17.03	18.37	21.76	27.15	31.59	-1.375	0.1488
♂	18.0000	17.34	18.74	22.24	27.74	32.21	-1.304	0.1499
♂	19.0000	17.63	19.07	22.68	28.29	32.77	-1.233	0.1509
♂	20.0000	17.89	19.38	23.10	28.81	33.29	-1.164	0.1519
♀	0.0000	11.98	12.47	13.40	14.33	14.82	1.000	0.0540
♀	0.0192	12.18	12.70	13.70	14.70	15.24	0.920	0.0570
♀	0.0383	12.32	12.88	13.95	15.03	15.60	0.860	0.0600
♀	0.0575	12.47	13.06	14.20	15.36	15.97	0.800	0.0630
♀	0.0767	12.63	13.25	14.45	15.68	16.33	0.745	0.0655
♀	0.0958	12.81	13.47	14.74	16.05	16.76	0.695	0.0684
♀	0.1150	12.96	13.65	14.99	16.38	17.13	0.653	0.0710
♀	0.1342	13.09	13.81	15.21	16.66	17.45	0.615	0.0732
♀	0.1533	13.22	13.96	15.42	16.94	17.76	0.580	0.0752
♀	0.1725	13.34	14.11	15.61	17.18	18.04	0.548	0.0769
♀	0.1916	13.45	14.23	15.78	17.40	18.29	0.519	0.0784
♀	0.2300	13.63	14.46	16.08	17.80	18.74	0.466	0.0811
♀	0.2683	13.79	14.64	16.33	18.13	19.13	0.419	0.0834
♀	0.3066	13.91	14.79	16.53	18.40	19.44	0.376	0.0852
♀	0.3450	14.02	14.91	16.70	18.63	19.70	0.338	0.0868
♀	0.3833	14.10	15.01	16.84	18.82	19.93	0.302	0.0881
♀	0.4216	14.17	15.09	16.95	18.97	20.11	0.270	0.0893
♀	0.4600	14.23	15.16	17.05	19.11	20.28	0.239	0.0903
♀	0.4983	14.27	15.21	17.12	19.21	20.40	0.211	0.0911
♀	0.5366	14.30	15.25	17.18	19.30	20.51	0.184	0.0919
♀	0.6133	14.35	15.30	17.26	19.43	20.67	0.135	0.0932
♀	0.6899	14.36	15.32	17.30	19.50	20.77	0.091	0.0941
♀	0.7666	14.37	15.33	17.32	19.55	20.84	0.051	0.0948
♀	0.8433	14.36	15.33	17.32	19.57	20.88	0.014	0.0954
♀	0.9199	14.35	15.31	17.31	19.58	20.90	-0.020	0.0959
♀	0.9966	14.33	15.29	17.29	19.57	20.90	-0.052	0.0963
♀	2.0000	13.89	14.82	16.81	19.18	20.61	-0.336	0.1006
♀	3.0000	13.66	14.58	16.60	19.07	20.60	-0.506	0.1044
♀	4.0000	13.52	14.45	16.53	19.14	20.81	-0.627	0.1094
♀	5.0000	13.29	14.24	16.38	19.15	20.96	-0.718	0.1152
♀	6.0000	13.14	14.11	16.34	19.30	21.28	-0.797	0.1216
♀	7.0000	13.14	14.15	16.51	19.73	21.95	-0.865	0.1288
♀	8.0000	13.32	14.38	16.90	20.44	22.96	-0.929	0.1360
♀	9.0000	13.65	14.77	17.47	21.38	24.24	-0.990	0.1427
♀	10.0000	14.09	15.27	18.16	22.45	25.70	-1.052	0.1484
♀	11.0000	14.61	15.85	18.92	23.60	27.24	-1.114	0.1528
♀	12.0000	15.18	16.47	19.70	24.74	28.77	-1.180	0.1558
♀	13.0000	15.75	17.08	20.45	25.81	30.21	-1.249	0.1576
♀	14.0000	16.28	17.64	21.12	26.76	31.51	-1.320	0.1586
♀	15.0000	16.75	18.13	21.70	27.59	32.67	-1.392	0.1592
♀	16.0000	17.16	18.56	22.20	28.30	33.71	-1.462	0.1595
♀	17.0000	17.53	18.95	22.64	28.93	34.65	-1.531	0.1596
♀	18.0000	17.87	19.30	23.04	29.52	35.55	-1.597	0.1597
♀	19.0000	18.19	19.63	23.41	30.07	36.41	-1.661	0.1598
♀	20.0000	18.50	19.95	23.77	30.59	37.26	-1.723	0.1598

BMIM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	11.01	11.83	13.30	14.69	15.40	1.500	0.0838
♂	0.0192	11.41	12.22	13.72	15.17	15.92	1.300	0.0838
♂	0.0383	11.76	12.57	14.10	15.61	16.40	1.128	0.0839
♂	0.0575	12.15	12.97	14.53	16.09	16.92	0.977	0.0839
♂	0.0767	12.44	13.27	14.86	16.47	17.33	0.860	0.0840
♂	0.0958	12.70	13.53	15.14	16.79	17.68	0.763	0.0840
♂	0.1150	12.92	13.76	15.39	17.08	17.99	0.678	0.0840
♂	0.1342	13.13	13.97	15.62	17.34	18.28	0.601	0.0840
♂	0.1533	13.31	14.16	15.82	17.57	18.53	0.532	0.0841
♂	0.1725	13.49	14.33	16.01	17.79	18.76	0.469	0.0841
♂	0.1916	13.64	14.49	16.18	17.98	18.98	0.411	0.0841
♂	0.2300	13.91	14.76	16.47	18.31	19.34	0.305	0.0841
♂	0.2683	14.13	14.99	16.72	18.60	19.66	0.212	0.0842
♂	0.3066	14.31	15.17	16.91	18.83	19.91	0.128	0.0843
♂	0.3450	14.47	15.32	17.08	19.03	20.14	0.051	0.0844
♂	0.3833	14.60	15.46	17.22	19.19	20.32	-0.019	0.0844
♂	0.4216	14.71	15.57	17.34	19.34	20.49	-0.084	0.0846
♂	0.4600	14.80	15.66	17.44	19.46	20.63	-0.144	0.0847
♂	0.4983	14.89	15.74	17.53	19.57	20.76	-0.200	0.0848
♂	0.5366	14.95	15.81	17.60	19.65	20.86	-0.252	0.0849
♂	0.6133	15.05	15.90	17.70	19.78	21.02	-0.348	0.0852
♂	0.6899	15.11	15.96	17.76	19.87	21.13	-0.434	0.0854
♂	0.7666	15.15	16.00	17.80	19.93	21.22	-0.511	0.0857
♂	0.8433	15.17	16.01	17.81	19.96	21.26	-0.581	0.0859
♂	0.9199	15.17	16.01	17.81	19.97	21.30	-0.645	0.0862
♂	0.9966	15.16	15.99	17.79	19.96	21.31	-0.704	0.0864
♂	2.0000	14.56	15.32	17.05	19.28	20.75	-1.221	0.0890
♂	3.0000	14.07	14.81	16.51	18.80	20.39	-1.505	0.0922
♂	4.0000	13.80	14.54	16.28	18.72	20.47	-1.681	0.0970
♂	5.0000	13.69	14.45	16.26	18.90	20.88	-1.789	0.1028
♂	6.0000	13.70	14.49	16.41	19.30	21.55	-1.850	0.1092
♂	7.0000	13.79	14.61	16.65	19.81	22.36	-1.876	0.1156
♂	8.0000	13.93	14.79	16.96	20.39	23.26	-1.876	0.1216
♂	9.0000	14.15	15.06	17.36	21.08	24.25	-1.856	0.1271
♂	10.0000	14.40	15.36	17.80	21.78	25.24	-1.821	0.1319
♂	11.0000	14.68	15.69	18.26	22.50	26.20	-1.773	0.1361
♂	12.0000	15.02	16.08	18.79	23.26	27.18	-1.717	0.1395
♂	13.0000	15.42	16.53	19.39	24.09	28.18	-1.654	0.1423
♂	14.0000	15.85	17.03	20.03	24.94	29.16	-1.587	0.1444
♂	15.0000	16.28	17.51	20.65	25.74	30.07	-1.518	0.1461
♂	16.0000	16.67	17.95	21.22	26.46	30.86	-1.447	0.1475
♂	17.0000	17.03	18.37	21.76	27.15	31.59	-1.375	0.1488
♂	18.0000	17.34	18.74	22.24	27.74	32.21	-1.304	0.1499
♂	19.0000	17.63	19.07	22.68	28.29	32.77	-1.233	0.1509
♂	20.0000	17.89	19.38	23.10	28.81	33.29	-1.164	0.1519
♀	0.0000	11.98	12.47	13.40	14.33	14.82	1.000	0.0540
♀	0.0192	12.18	12.70	13.70	14.70	15.24	0.920	0.0570
♀	0.0383	12.32	12.88	13.95	15.03	15.60	0.860	0.0600
♀	0.0575	12.47	13.06	14.20	15.36	15.97	0.800	0.0630
♀	0.0767	12.63	13.25	14.45	15.68	16.33	0.745	0.0655
♀	0.0958	12.81	13.47	14.74	16.05	16.76	0.695	0.0684
♀	0.1150	12.96	13.65	14.99	16.38	17.13	0.653	0.0710
♀	0.1342	13.09	13.81	15.21	16.66	17.45	0.615	0.0732
♀	0.1533	13.22	13.96	15.42	16.94	17.76	0.580	0.0752
♀	0.1725	13.34	14.11	15.61	17.18	18.04	0.548	0.0769
♀	0.1916	13.45	14.23	15.78	17.40	18.29	0.519	0.0784
♀	0.2300	13.63	14.46	16.08	17.80	18.74	0.466	0.0811
♀	0.2683	13.79	14.64	16.33	18.13	19.13	0.419	0.0834
♀	0.3066	13.91	14.79	16.53	18.40	19.44	0.376	0.0852
♀	0.3450	14.02	14.91	16.70	18.63	19.70	0.338	0.0868
♀	0.3833	14.10	15.01	16.84	18.82	19.93	0.302	0.0881
♀	0.4216	14.17	15.09	16.95	18.97	20.11	0.270	0.0893
♀	0.4600	14.23	15.16	17.05	19.11	20.28	0.239	0.0903
♀	0.4983	14.27	15.21	17.12	19.21	20.40	0.211	0.0911
♀	0.5366	14.30	15.25	17.18	19.30	20.51	0.184	0.0919
♀	0.6133	14.35	15.30	17.26	19.43	20.67	0.135	0.0932
♀	0.6899	14.36	15.32	17.30	19.50	20.77	0.091	0.0941
♀	0.7666	14.37	15.33	17.32	19.55	20.84	0.051	0.0948
♀	0.8433	14.36	15.33	17.32	19.57	20.88	0.014	0.0954
♀	0.9199	14.35	15.31	17.31	19.58	20.90	-0.020	0.0959
♀	0.9966	14.33	15.29	17.29	19.57	20.90	-0.052	0.0963
♀	2.0000	13.89	14.82	16.81	19.18	20.61	-0.336	0.1006
♀	3.0000	13.66	14.58	16.60	19.07	20.60	-0.506	0.1044
♀	4.0000	13.52	14.45	16.53	19.14	20.81	-0.627	0.1094
♀	5.0000	13.29	14.24	16.38	19.15	20.96	-0.718	0.1152
♀	6.0000	13.14	14.11	16.34	19.30	21.28	-0.797	0.1216
♀	7.0000	13.14	14.15	16.51	19.73	21.95	-0.865	0.1288
♀	8.0000	13.32	14.38	16.90	20.44	22.96	-0.929	0.1360
♀	9.0000	13.65	14.77	17.47	21.38	24.24	-0.990	0.1427
♀	10.0000	14.09	15.27	18.16	22.45	25.70	-1.052	0.1484
♀	11.0000	14.61	15.85	18.92	23.60	27.24	-1.114	0.1528
♀	12.0000	15.18	16.47	19.70	24.74	28.77	-1.180	0.1558
♀	13.0000	15.75	17.08	20.45	25.81	30.21	-1.249	0.1576
♀	14.0000	16.28	17.64	21.12	26.76	31.51	-1.320	0.1586
♀	15.0000	16.75	18.13	21.70	27.59	32.67	-1.392	0.1592
♀	16.0000	17.16	18.56	22.20	28.30	33.71	-1.462	0.1595
♀	17.0000	17.53	18.95	22.64	28.93	34.65	-1.531	0.1596
♀	18.0000	17.87	19.30	23.04	29.52	35.55	-1.597	0.1597
♀	19.0000	18.19	19.63	23.41	30.07	36.41	-1.661	0.1598
♀	20.0000	18.50	19.95	23.77	30.59	37.26	-1.723	0.1598

HIPN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.00	26.01	27.66	31.00	34.65	36.72	0.2037	0.0880
♂	0.25	31.71	33.53	37.26	41.38	43.74	0.0310	0.0821
♂	0.50	35.62	37.50	41.36	45.68	48.17	-0.1253	0.0770
♂	0.75	37.75	39.60	43.43	47.74	50.24	-0.2601	0.0729
♂	1.00	39.16	40.98	44.74	49.00	51.48	-0.3765	0.0697
♂	2.00	42.96	44.76	48.53	52.86	55.42	-0.6750	0.0648
♂	3.00	45.61	47.48	51.42	56.03	58.79	-0.8612	0.0645
♂	4.00	47.94	49.93	54.17	59.22	62.30	-1.0281	0.0664
♂	5.00	49.92	52.06	56.69	62.31	65.81	-1.1705	0.0699
♂	6.00	51.65	53.96	59.03	65.34	69.35	-1.2791	0.0743
♂	7.00	53.30	55.79	61.34	68.38	72.95	-1.3471	0.0789
♂	8.00	55.43	58.13	64.19	72.00	77.13	-1.3618	0.0829
♂	9.00	57.98	60.90	67.44	75.85	81.37	-1.2889	0.0851
♂	10.00	60.40	63.51	70.44	79.20	84.86	-1.1323	0.0857
♂	11.00	62.59	65.93	73.26	82.32	88.03	-0.9072	0.0863
♂	12.00	64.85	68.48	76.28	85.63	91.36	-0.6180	0.0871
♂	13.00	67.60	71.54	79.83	89.42	95.10	-0.2977	0.0870
♂	14.00	70.94	75.11	83.68	93.27	98.80	-0.0332	0.0845
♂	15.00	74.47	78.65	87.13	96.41	101.66	0.1161	0.0794
♂	16.00	77.17	81.32	89.65	98.66	103.72	0.1848	0.0754
♂	17.00	78.88	83.00	91.26	100.14	105.10	0.2203	0.0732
♂	18.00	80.00	84.12	92.32	101.11	106.02	0.2418	0.0718
♂	19.00	80.84	84.95	93.13	101.88	106.75	0.2574	0.0709
♂	20.00	81.40	85.50	93.65	102.36	107.20	0.2675	0.0702
♂	21.00	81.83	85.93	94.06	102.74	107.56	0.2754	0.0697
♀	0.00	25.55	27.02	30.13	33.76	35.93	-0.3800	0.0868
♀	0.25	31.49	33.21	36.84	41.04	43.55	-0.3992	0.0826
♀	0.50	35.40	37.25	41.12	45.59	48.23	-0.4058	0.0788
♀	0.75	37.30	39.17	43.09	47.57	50.21	-0.4062	0.0757
♀	1.00	38.59	40.46	44.37	48.83	51.45	-0.4104	0.0733
♀	2.00	42.43	44.37	48.40	52.99	55.67	-0.4504	0.0692
♀	3.00	45.54	47.63	51.99	56.98	59.92	-0.5033	0.0699
♀	4.00	47.77	50.04	54.82	60.36	63.65	-0.5608	0.0731
♀	5.00	49.37	51.82	57.02	63.12	66.79	-0.6167	0.0769
♀	6.00	51.18	53.86	59.61	66.46	70.65	-0.6814	0.0819
♀	7.00	53.15	56.08	62.43	70.16	74.95	-0.7409	0.0872
♀	8.00	55.33	58.52	65.53	74.19	79.64	-0.7811	0.0923
♀	9.00	57.80	61.27	68.96	78.55	84.64	-0.7806	0.0966
♀	10.00	60.12	63.86	72.14	82.45	88.98	-0.7160	0.0994
♀	11.00	62.38	66.40	75.20	86.01	92.77	-0.5817	0.1008
♀	12.00	65.31	69.66	78.99	90.10	96.83	-0.3472	0.1003
♀	13.00	68.76	73.44	83.21	94.34	100.85	-0.0437	0.0977
♀	14.00	71.69	76.60	86.61	97.62	103.89	0.2098	0.0946
♀	15.00	73.78	78.84	88.99	99.93	106.04	0.3649	0.0924
♀	16.00	75.23	80.37	90.60	101.51	107.56	0.4486	0.0910
♀	17.00	76.37	81.57	91.86	102.76	108.77	0.5017	0.0900
♀	18.00	77.40	82.66	93.01	103.92	109.92	0.5453	0.0892
♀	19.00	78.08	83.37	93.76	104.66	110.64	0.5726	0.0886
♀	20.00	78.24	83.53	93.93	104.84	110.81	0.5791	0.0885
♀	21.00	78.77	84.09	94.52	105.43	111.39	0.6011	0.0881

WSTN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.00	25.09	27.76	32.37	36.56	38.65	1.6973	0.1055
♂	0.25	33.09	35.31	39.35	43.23	45.23	1.4120	0.0785
♂	0.50	36.04	38.13	42.04	45.89	47.91	1.1371	0.0720
♂	0.75	37.53	39.56	43.42	47.34	49.43	0.8694	0.0699
♂	1.00	38.46	40.45	44.30	48.28	50.44	0.6206	0.0690
♂	2.00	41.25	43.11	46.93	51.17	53.59	-0.2118	0.0668
♂	3.00	44.09	45.89	49.68	54.11	56.77	-0.8794	0.0642
♂	4.00	45.58	47.34	51.18	55.87	58.81	-1.4273	0.0643
♂	5.00	46.36	48.14	52.10	57.17	60.49	-1.8682	0.0665
♂	6.00	47.31	49.13	53.28	58.82	62.62	-2.2043	0.0693
♂	7.00	48.50	50.39	54.79	60.88	65.24	-2.4417	0.0725
♂	8.00	49.78	51.77	56.46	63.16	68.13	-2.5899	0.0759
♂	9.00	51.09	53.18	58.16	65.45	71.01	-2.6630	0.0790
♂	10.00	52.43	54.62	59.91	67.75	73.87	-2.6766	0.0818
♂	11.00	53.91	56.22	61.80	70.15	76.72	-2.6454	0.0840
♂	12.00	55.58	58.00	63.88	72.66	79.56	-2.5825	0.0855
♂	13.00	57.38	59.92	66.06	75.18	82.28	-2.4993	0.0862
♂	14.00	59.23	61.88	68.24	77.58	84.74	-2.4053	0.0861
♂	15.00	61.04	63.79	70.33	79.80	86.93	-2.3060	0.0855
♂	16.00	62.72	65.56	72.27	81.83	88.89	-2.2040	0.0848
♂	17.00	64.24	67.15	74.01	83.63	90.60	-2.1003	0.0841
♂	18.00	65.57	68.57	75.56	85.24	92.14	-1.9957	0.0836
♂	19.00	66.77	69.84	76.98	86.72	93.57	-1.8914	0.0833
♂	20.00	67.89	71.05	78.31	88.12	94.91	-1.7896	0.0830
♂	21.00	68.97	72.20	79.60	89.46	96.20	-1.6911	0.0827
♀	0.00	24.55	27.53	32.08	35.80	37.54	2.5643	0.0988
♀	0.25	32.22	34.41	38.38	42.17	44.12	1.4693	0.0788
♀	0.50	35.08	37.11	40.96	44.83	46.89	0.9242	0.0736
♀	0.75	36.51	38.46	42.27	46.23	48.39	0.5594	0.0717
♀	1.00	37.52	39.42	43.17	47.19	49.42	0.2794	0.0702
♀	2.00	40.97	42.73	46.38	50.50	52.90	-0.4570	0.0651
♀	3.00	43.60	45.39	49.20	53.68	56.38	-0.9401	0.0653
♀	4.00	44.71	46.55	50.56	55.47	58.55	-1.3031	0.0681
♀	5.00	45.22	47.11	51.34	56.71	60.21	-1.5987	0.0718
♀	6.00	46.04	48.01	52.50	58.43	62.45	-1.8450	0.0758
♀	7.00	47.19	49.26	54.04	60.61	65.24	-2.0475	0.0797
♀	8.00	48.44	50.59	55.68	62.88	68.15	-2.2093	0.0832
♀	9.00	49.70	51.95	57.31	65.12	71.05	-2.3334	0.0862
♀	10.00	51.03	53.35	58.96	67.30	73.79	-2.4231	0.0883
♀	11.00	52.43	54.82	60.64	69.41	76.35	-2.4846	0.0895
♀	12.00	53.92	56.38	62.38	71.48	78.77	-2.5265	0.0899
♀	13.00	55.42	57.94	64.08	73.40	80.89	-2.5558	0.0896
♀	14.00	56.77	59.33	65.57	75.05	82.66	-2.5771	0.0890
♀	15.00	57.93	60.52	66.82	76.39	84.05	-2.5938	0.0882
♀	16.00	58.90	61.51	67.87	77.50	85.19	-2.6088	0.0875
♀	17.00	59.72	62.35	68.75	78.43	86.16	-2.6228	0.0869
♀	18.00	60.43	63.08	69.51	79.24	86.99	-2.6352	0.0864
♀	19.00	61.04	63.71	70.17	79.94	87.72	-2.6456	0.0860
♀	20.00	61.59	64.26	70.76	80.55	88.35	-2.6542	0.0856
♀	21.00	62.09	64.77	71.30	81.13	88.95	-2.6616	0.0853

WHRN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.00	0.93	0.99	1.11	1.24	1.31	0.4529	0.0854
♂	0.25	0.90	0.95	1.04	1.14	1.19	0.3986	0.0712
♂	0.50	0.89	0.93	1.01	1.10	1.15	0.3457	0.0658
♂	0.75	0.88	0.92	1.00	1.08	1.13	0.3077	0.0623
♂	1.00	0.88	0.91	0.99	1.07	1.11	0.2776	0.0596
♂	2.00	0.87	0.90	0.97	1.04	1.08	0.1621	0.0538
♂	3.00	0.87	0.90	0.96	1.03	1.07	0.0287	0.0529
♂	4.00	0.85	0.88	0.94	1.01	1.05	-0.0956	0.0540
♂	5.00	0.83	0.86	0.92	0.99	1.03	-0.2049	0.0554
♂	6.00	0.81	0.84	0.90	0.97	1.01	-0.3031	0.0566
♂	7.00	0.80	0.83	0.89	0.96	1.00	-0.3918	0.0575
♂	8.00	0.79	0.82	0.88	0.95	0.99	-0.4712	0.0582
♂	9.00	0.77	0.80	0.87	0.94	0.98	-0.5420	0.0586
♂	10.00	0.76	0.79	0.86	0.92	0.96	-0.6052	0.0589
♂	11.00	0.76	0.79	0.85	0.91	0.95	-0.6603	0.0591
♂	12.00	0.75	0.78	0.84	0.91	0.95	-0.7057	0.0595
♂	13.00	0.74	0.77	0.83	0.90	0.94	-0.7406	0.0600
♂	14.00	0.74	0.76	0.82	0.89	0.93	-0.7656	0.0606
♂	15.00	0.73	0.76	0.82	0.89	0.93	-0.7823	0.0611
♂	16.00	0.73	0.76	0.82	0.89	0.93	-0.7927	0.0617
♂	17.00	0.73	0.76	0.82	0.89	0.93	-0.7981	0.0623
♂	18.00	0.73	0.76	0.82	0.90	0.94	-0.7999	0.0628
♂	19.00	0.73	0.76	0.83	0.90	0.94	-0.7994	0.0634
♂	20.00	0.74	0.77	0.83	0.90	0.95	-0.7979	0.0640
♂	21.00	0.74	0.77	0.83	0.91	0.95	-0.7963	0.0646
♀	0.00	0.91	0.99	1.11	1.22	1.27	2.3573	0.0813
♀	0.25	0.89	0.94	1.03	1.12	1.17	1.1616	0.0701
♀	0.50	0.87	0.91	1.00	1.08	1.13	0.8780	0.0652
♀	0.75	0.87	0.91	0.98	1.06	1.10	0.6838	0.0615
♀	1.00	0.86	0.90	0.97	1.05	1.09	0.5296	0.0586
♀	2.00	0.87	0.90	0.96	1.02	1.06	0.0723	0.0518
♀	3.00	0.86	0.89	0.95	1.01	1.04	-0.2644	0.0503
♀	4.00	0.84	0.86	0.92	0.99	1.03	-0.5321	0.0519
♀	5.00	0.81	0.84	0.90	0.97	1.01	-0.7563	0.0548
♀	6.00	0.79	0.82	0.88	0.95	0.99	-0.9513	0.0575
♀	7.00	0.77	0.80	0.86	0.93	0.98	-1.1261	0.0597
♀	8.00	0.76	0.79	0.85	0.92	0.97	-1.2867	0.0614
♀	9.00	0.74	0.77	0.83	0.91	0.96	-1.4373	0.0628
♀	10.00	0.73	0.76	0.82	0.90	0.94	-1.5804	0.0640
♀	11.00	0.72	0.75	0.81	0.88	0.93	-1.7159	0.0652
♀	12.00	0.70	0.73	0.79	0.87	0.92	-1.8437	0.0663
♀	13.00	0.69	0.72	0.78	0.86	0.91	-1.9639	0.0675
♀	14.00	0.68	0.71	0.77	0.85	0.90	-2.0777	0.0688
♀	15.00	0.67	0.70	0.76	0.84	0.89	-2.1859	0.0700
♀	16.00	0.67	0.69	0.75	0.84	0.89	-2.2887	0.0711
♀	17.00	0.67	0.69	0.75	0.83	0.89	-2.3865	0.0722
♀	18.00	0.66	0.69	0.75	0.84	0.90	-2.4794	0.0732
♀	19.00	0.66	0.69	0.75	0.84	0.90	-2.5681	0.0742
♀	20.00	0.66	0.69	0.75	0.84	0.90	-2.6531	0.0751
♀	21.00	0.66	0.69	0.75	0.84	0.91	-2.7349	0.0759

SITN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.00	32.24	33.55	35.77	37.75	38.71	3.0601	0.0455
♂	0.25	37.66	39.15	41.69	43.95	45.05	3.0725	0.0446
♂	0.50	41.32	42.93	45.67	48.10	49.29	3.0872	0.0439
♂	0.75	43.47	45.16	48.04	50.59	51.84	3.0921	0.0438
♂	1.00	44.97	46.72	49.71	52.36	53.66	3.0870	0.0440
♂	2.00	48.28	50.25	53.60	56.57	58.02	3.0305	0.0457
♂	3.00	50.32	52.41	55.95	59.10	60.64	2.9705	0.0464
♂	4.00	52.82	55.01	58.74	62.07	63.71	2.8863	0.0467
♂	5.00	55.64	57.91	61.83	65.35	67.09	2.7679	0.0467
♂	6.00	58.49	60.84	64.92	68.61	70.44	2.6245	0.0465
♂	7.00	61.13	63.55	67.78	71.66	73.59	2.4744	0.0465
♂	8.00	63.55	66.05	70.45	74.51	76.54	2.3312	0.0467
♂	9.00	65.51	68.08	72.64	76.88	79.01	2.2124	0.0471
♂	10.00	67.15	69.79	74.50	78.90	81.12	2.1149	0.0476
♂	11.00	68.81	71.54	76.43	81.02	83.35	2.0231	0.0483
♂	12.00	70.89	73.75	78.89	83.74	86.20	1.9309	0.0493
♂	13.00	73.53	76.54	81.97	87.10	89.72	1.8682	0.0502
♂	14.00	76.75	79.87	85.48	90.79	93.50	1.8706	0.0498
♂	15.00	80.34	83.43	88.99	94.26	96.93	1.9251	0.0474
♂	16.00	83.21	86.19	91.56	96.63	99.21	1.9851	0.0444
♂	17.00	84.95	87.83	93.02	97.93	100.43	2.0238	0.0423
♂	18.00	85.97	88.78	93.85	98.66	101.10	2.0466	0.0410
♂	19.00	86.52	89.30	94.31	99.06	101.47	2.0591	0.0403
♂	20.00	86.67	89.44	94.43	99.16	101.57	2.0619	0.0401
♂	21.00	86.96	89.70	94.65	99.35	101.74	2.0603	0.0397
♀	0.00	31.56	32.68	34.75	36.75	37.78	1.5876	0.0456
♀	0.25	36.96	38.27	40.67	43.00	44.21	1.5104	0.0454
♀	0.50	40.68	42.10	44.74	47.31	48.65	1.4445	0.0454
♀	0.75	42.69	44.19	46.96	49.68	51.09	1.3861	0.0456
♀	1.00	44.25	45.81	48.72	51.57	53.06	1.3363	0.0461
♀	2.00	47.47	49.20	52.43	55.61	57.28	1.2341	0.0477
♀	3.00	49.37	51.20	54.62	57.99	59.76	1.1943	0.0485
♀	4.00	52.13	54.09	57.76	61.39	63.30	1.1638	0.0493
♀	5.00	55.15	57.24	61.16	65.03	67.07	1.1469	0.0497
♀	6.00	57.83	60.02	64.15	68.23	70.38	1.1441	0.0499
♀	7.00	60.24	62.52	66.81	71.05	73.28	1.1529	0.0498
♀	8.00	62.73	65.12	69.57	73.98	76.29	1.1758	0.0497
♀	9.00	65.20	67.67	72.29	76.84	79.23	1.2174	0.0495
♀	10.00	67.44	69.99	74.73	79.39	81.83	1.2772	0.0491
♀	11.00	69.71	72.33	77.18	81.92	84.40	1.3567	0.0485
♀	12.00	72.52	75.18	80.10	84.88	87.36	1.4707	0.0472
♀	13.00	75.58	78.24	83.13	87.84	90.27	1.6098	0.0450
♀	14.00	78.11	80.72	85.50	90.09	92.45	1.7349	0.0427
♀	15.00	79.83	82.39	87.06	91.53	93.82	1.8232	0.0409
♀	16.00	81.00	83.52	88.11	92.49	94.74	1.8825	0.0397
♀	17.00	81.49	83.99	88.54	92.90	95.13	1.9074	0.0392
♀	18.00	81.67	84.17	88.71	93.04	95.27	1.9167	0.0390
♀	19.00	82.00	84.49	88.99	93.30	95.51	1.9331	0.0386
♀	20.00	82.40	84.87	89.35	93.62	95.81	1.9532	0.0382
♀	21.00	82.71	85.17	89.63	93.88	96.06	1.9692	0.0379

SHHN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.00	0.64	0.66	0.69	0.72	0.73	5.2236	0.0335
♂	0.25	0.63	0.65	0.68	0.71	0.72	5.2236	0.0337
♂	0.50	0.62	0.64	0.67	0.70	0.71	5.2236	0.0337
♂	0.75	0.61	0.63	0.66	0.69	0.70	5.2236	0.0337
♂	1.00	0.60	0.62	0.65	0.67	0.69	5.2236	0.0337
♂	2.00	0.56	0.57	0.60	0.63	0.64	5.2236	0.0337
♂	3.00	0.53	0.54	0.57	0.59	0.60	5.2236	0.0333
♂	4.00	0.51	0.53	0.55	0.58	0.59	5.2236	0.0325
♂	5.00	0.51	0.52	0.55	0.57	0.58	5.2236	0.0314
♂	6.00	0.50	0.52	0.54	0.56	0.57	5.2236	0.0302
♂	7.00	0.50	0.51	0.54	0.55	0.56	5.2236	0.0289
♂	8.00	0.50	0.51	0.53	0.55	0.56	5.2236	0.0277
♂	9.00	0.49	0.51	0.53	0.54	0.55	5.2236	0.0267
♂	10.00	0.49	0.50	0.52	0.54	0.54	5.2236	0.0259
♂	11.00	0.49	0.50	0.52	0.53	0.54	5.2236	0.0254
♂	12.00	0.48	0.49	0.51	0.53	0.54	5.2236	0.0252
♂	13.00	0.48	0.49	0.51	0.52	0.53	5.2236	0.0253
♂	14.00	0.48	0.49	0.51	0.52	0.53	5.2236	0.0256
♂	15.00	0.48	0.49	0.51	0.53	0.53	5.2236	0.0261
♂	16.00	0.48	0.49	0.51	0.53	0.54	5.2236	0.0267
♂	17.00	0.48	0.49	0.51	0.53	0.54	5.2236	0.0273
♂	18.00	0.48	0.49	0.51	0.53	0.54	5.2236	0.0279
♂	19.00	0.48	0.50	0.52	0.53	0.54	5.2236	0.0284
♂	20.00	0.48	0.50	0.52	0.53	0.54	5.2236	0.0290
♂	21.00	0.48	0.49	0.51	0.53	0.54	5.2236	0.0295
♀	0.00	0.64	0.66	0.69	0.72	0.74	4.7230	0.0360
♀	0.25	0.63	0.65	0.68	0.71	0.73	4.7230	0.0363
♀	0.50	0.62	0.64	0.67	0.70	0.71	4.7230	0.0362
♀	0.75	0.61	0.63	0.66	0.69	0.70	4.7230	0.0362
♀	1.00	0.59	0.62	0.65	0.68	0.69	4.7230	0.0361
♀	2.00	0.55	0.57	0.60	0.63	0.64	4.7230	0.0356
♀	3.00	0.52	0.54	0.57	0.59	0.60	4.7230	0.0348
♀	4.00	0.51	0.53	0.55	0.57	0.59	4.7230	0.0336
♀	5.00	0.51	0.52	0.55	0.57	0.58	4.7230	0.0322
♀	6.00	0.50	0.52	0.54	0.56	0.57	4.7230	0.0307
♀	7.00	0.50	0.51	0.54	0.55	0.56	4.7230	0.0294
♀	8.00	0.50	0.51	0.53	0.55	0.56	4.7230	0.0283
♀	9.00	0.49	0.51	0.53	0.54	0.55	4.7230	0.0275
♀	10.00	0.49	0.50	0.52	0.54	0.55	4.7230	0.0271
♀	11.00	0.49	0.50	0.52	0.54	0.54	4.7230	0.0269
♀	12.00	0.49	0.50	0.52	0.53	0.54	4.7230	0.0269
♀	13.00	0.49	0.50	0.52	0.53	0.54	4.7230	0.0269
♀	14.00	0.49	0.50	0.52	0.54	0.54	4.7230	0.0270
♀	15.00	0.49	0.50	0.52	0.54	0.55	4.7230	0.0269
♀	16.00	0.49	0.50	0.52	0.54	0.55	4.7230	0.0269
♀	17.00	0.49	0.51	0.52	0.54	0.55	4.7230	0.0269
♀	18.00	0.49	0.51	0.52	0.54	0.55	4.7230	0.0268
♀	19.00	0.49	0.51	0.53	0.54	0.55	4.7230	0.0268
♀	20.00	0.49	0.51	0.53	0.54	0.55	4.7230	0.0267
♀	21.00	0.50	0.51	0.53	0.54	0.55	4.7230	0.0267

HCN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	33.05	33.96	35.67	37.38	38.29	1	0.0375
♂	0.0192	33.46	34.37	36.10	37.83	38.74	1	0.0373
♂	0.0383	33.85	34.77	36.51	38.24	39.16	1	0.0371
♂	0.0575	34.31	35.24	36.98	38.73	39.65	1	0.0368
♂	0.0767	34.77	35.70	37.45	39.20	40.13	1	0.0365
♂	0.0958	35.23	36.16	37.91	39.66	40.59	1	0.0361
♂	0.1150	35.67	36.60	38.35	40.11	41.03	1	0.0357
♂	0.1342	36.09	37.02	38.77	40.53	41.46	1	0.0353
♂	0.1533	36.49	37.42	39.18	40.94	41.87	1	0.0350
♂	0.1725	36.88	37.81	39.57	41.32	42.25	1	0.0346
♂	0.1916	37.25	38.18	39.93	41.69	42.62	1	0.0343
♂	0.2300	37.94	38.87	40.61	42.35	43.28	1	0.0335
♂	0.2683	38.58	39.50	41.23	42.96	43.88	1	0.0328
♂	0.3066	39.17	40.08	41.81	43.54	44.46	1	0.0323
♂	0.3450	39.73	40.64	42.35	44.07	44.98	1	0.0316
♂	0.3833	40.22	41.13	42.85	44.57	45.48	1	0.0313
♂	0.4216	40.69	41.60	43.31	45.03	45.94	1	0.0309
♂	0.4600	41.11	42.02	43.73	45.45	46.35	1	0.0306
♂	0.4983	41.47	42.39	44.12	45.85	46.76	1	0.0306
♂	0.5366	41.82	42.74	44.47	46.20	47.12	1	0.0304
♂	0.6133	42.40	43.33	45.09	46.85	47.78	1	0.0304
♂	0.6899	42.88	43.83	45.62	47.42	48.37	1	0.0307
♂	0.7666	43.30	44.27	46.09	47.91	48.87	1	0.0308
♂	0.8433	43.67	44.64	46.49	48.34	49.32	1	0.0310
♂	0.9199	43.97	44.97	46.85	48.74	49.73	1	0.0314
♂	0.9966	44.25	45.26	47.17	49.08	50.09	1	0.0316
♂	2.0000	46.08	47.19	49.28	51.37	52.48	1	0.0331
♂	3.0000	47.27	48.41	50.56	52.71	53.85	1	0.0332
♂	4.0000	47.87	49.03	51.21	53.38	54.54	1	0.0332
♂	5.0000	48.14	49.30	51.49	53.69	54.85	1	0.0332
♂	6.0000	48.38	49.54	51.72	53.90	55.05	1	0.0329
♂	7.0000	48.67	49.84	52.04	54.25	55.42	1	0.0331
♂	8.0000	49.10	50.26	52.45	54.64	55.80	1	0.0326
♂	9.0000	49.48	50.65	52.85	55.05	56.22	1	0.0325
♂	10.0000	49.88	51.05	53.26	55.46	56.63	1	0.0323
♂	11.0000	50.29	51.46	53.67	55.89	57.06	1	0.0322
♂	12.0000	50.73	51.90	54.12	56.34	57.52	1	0.0320
♂	13.0000	51.25	52.42	54.64	56.86	58.04	1	0.0317
♂	14.0000	51.84	53.02	55.25	57.48	58.66	1	0.0315
♂	15.0000	52.47	53.65	55.88	58.11	59.28	1	0.0311
♂	16.0000	52.99	54.18	56.42	58.66	59.85	1	0.0310
♂	17.0000	53.39	54.58	56.82	59.06	60.25	1	0.0308
♂	18.0000	53.69	54.88	57.12	59.36	60.55	1	0.0306
♂	19.0000	53.89	55.09	57.34	59.60	60.80	1	0.0307
♂	20.0000	54.13	55.32	57.56	59.81	60.99	1	0.0304
♂	21.0000	54.39	55.58	57.82	60.07	61.25	1	0.0303
♀	0.0000	32.57	33.43	35.04	36.65	37.51	1	0.0359
♀	0.0192	32.94	33.80	35.43	37.06	37.92	1	0.0358
♀	0.0383	33.30	34.17	35.81	37.45	38.32	1	0.0357
♀	0.0575	33.64	34.51	36.15	37.80	38.67	1	0.0355
♀	0.0767	34.03	34.90	36.55	38.20	39.07	1	0.0352
♀	0.0958	34.42	35.30	36.95	38.60	39.48	1	0.0349
♀	0.1150	34.82	35.69	37.34	38.99	39.87	1	0.0345
♀	0.1342	35.19	36.07	37.73	39.39	40.27	1	0.0344
♀	0.1533	35.56	36.44	38.11	39.77	40.66	1	0.0341
♀	0.1725	35.94	36.82	38.48	40.14	41.02	1	0.0337
♀	0.1916	36.27	37.16	38.83	40.51	41.40	1	0.0337
♀	0.2300	36.94	37.82	39.50	41.18	42.06	1	0.0331
♀	0.2683	37.53	38.43	40.12	41.81	42.70	1	0.0329
♀	0.3066	38.12	39.01	40.69	42.36	43.25	1	0.0322
♀	0.3450	38.62	39.52	41.21	42.90	43.79	1	0.0320
♀	0.3833	39.09	39.99	41.68	43.38	44.27	1	0.0317
♀	0.4216	39.53	40.43	42.12	43.81	44.70	1	0.0313
♀	0.4600	39.90	40.81	42.51	44.22	45.12	1	0.0313
♀	0.4983	40.27	41.17	42.87	44.57	45.48	1	0.0310
♀	0.5366	40.62	41.51	43.20	44.89	45.78	1	0.0305
♀	0.6133	41.16	42.06	43.78	45.50	46.41	1	0.0306
♀	0.6899	41.64	42.56	44.29	46.02	46.94	1	0.0305
♀	0.7666	42.06	42.99	44.74	46.50	47.43	1	0.0306
♀	0.8433	42.45	43.38	45.16	46.93	47.86	1	0.0306
♀	0.9199	42.80	43.74	45.52	47.30	48.24	1	0.0305
♀	0.9966	43.08	44.04	45.85	47.66	48.62	1	0.0308
♀	2.0000	45.08	46.12	48.08	50.03	51.07	1	0.0318
♀	3.0000	46.16	47.24	49.28	51.32	52.40	1	0.0323
♀	4.0000	46.93	48.03	50.11	52.18	53.28	1	0.0323
♀	5.0000	47.39	48.50	50.59	52.67	53.78	1	0.0322
♀	6.0000	47.66	48.78	50.89	53.00	54.12	1	0.0324
♀	7.0000	47.96	49.09	51.21	53.34	54.47	1	0.0324
♀	8.0000	48.40	49.52	51.65	53.77	54.90	1	0.0321
♀	9.0000	48.89	50.03	52.18	54.34	55.48	1	0.0322
♀	10.0000	49.44	50.58	52.73	54.89	56.03	1	0.0319
♀	11.0000	49.98	51.12	53.27	55.42	56.56	1	0.0315
♀	12.0000	50.52	51.65	53.81	55.96	57.10	1	0.0312
♀	13.0000	50.98	52.13	54.29	56.46	57.60	1	0.0311
♀	14.0000	51.37	52.51	54.66	56.81	57.95	1	0.0307
♀	15.0000	51.62	52.76	54.91	57.06	58.20	1	0.0306
♀	16.0000	51.79	52.93	55.09	57.24	58.38	1	0.0305
♀	17.0000	51.91	53.05	55.20	57.35	58.49	1	0.0304
♀	18.0000	51.96	53.10	55.25	57.40	58.54	1	0.0304
♀	19.0000	51.97	53.11	55.26	57.41	58.55	1	0.0304
♀	20.0000	51.99	53.13	55.27	57.40	58.54	1	0.0302
♀	21.0000	52.01	53.15	55.29	57.43	58.56	1	0.0302

HCT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	34.08	34.81	36.20	37.59	38.32	1	0.0299
♂	0.0192	34.50	35.23	36.62	38.01	38.74	1	0.0296
♂	0.0383	34.89	35.63	37.02	38.41	39.15	1	0.0293
♂	0.0575	35.28	36.01	37.41	38.81	39.54	1	0.0291
♂	0.0767	35.66	36.40	37.79	39.18	39.92	1	0.0288
♂	0.0958	36.03	36.77	38.17	39.57	40.31	1	0.0286
♂	0.1150	36.39	37.13	38.53	39.93	40.67	1	0.0284
♂	0.1342	36.77	37.51	38.91	40.31	41.05	1	0.0281
♂	0.1533	37.16	37.90	39.31	40.72	41.46	1	0.0279
♂	0.1725	37.56	38.31	39.71	41.11	41.86	1	0.0276
♂	0.1916	37.94	38.68	40.09	41.50	42.24	1	0.0274
♂	0.2300	38.66	39.40	40.81	42.22	42.96	1	0.0269
♂	0.2683	39.29	40.03	41.43	42.83	43.57	1	0.0264
♂	0.3066	39.83	40.57	41.97	43.37	44.11	1	0.0260
♂	0.3450	40.33	41.07	42.46	43.85	44.59	1	0.0256
♂	0.3833	40.80	41.53	42.92	44.31	45.04	1	0.0252
♂	0.4216	41.24	41.97	43.36	44.75	45.48	1	0.0250
♂	0.4600	41.64	42.38	43.78	45.18	45.92	1	0.0249
♂	0.4983	42.00	42.75	44.15	45.55	46.30	1	0.0248
♂	0.5366	42.33	43.07	44.48	45.89	46.63	1	0.0247
♂	0.6133	42.86	43.61	45.04	46.47	47.22	1	0.0247
♂	0.6899	43.30	44.06	45.50	46.94	47.70	1	0.0247
♂	0.7666	43.71	44.47	45.92	47.37	48.13	1	0.0246
♂	0.8433	44.09	44.86	46.32	47.78	48.55	1	0.0246
♂	0.9199	44.44	45.22	46.69	48.16	48.94	1	0.0246
♂	0.9966	44.74	45.53	47.01	48.49	49.28	1	0.0246
♂	2.0000	46.97	47.79	49.35	50.91	51.73	1	0.0246
♀	0.0000	33.41	34.14	35.50	36.86	37.59	1	0.0300
♀	0.0192	33.79	34.52	35.90	37.28	38.01	1	0.0300
♀	0.0383	34.07	34.81	36.20	37.59	38.33	1	0.0300
♀	0.0575	34.45	35.19	36.60	38.01	38.75	1	0.0300
♀	0.0767	34.73	35.48	36.90	38.32	39.07	1	0.0300
♀	0.0958	35.04	35.80	37.23	38.67	39.43	1	0.0301
♀	0.1150	35.35	36.12	37.57	39.02	39.78	1	0.0301
♀	0.1342	35.66	36.43	37.90	39.36	40.13	1	0.0301
♀	0.1533	35.96	36.74	38.22	39.70	40.48	1	0.0302
♀	0.1725	36.25	37.04	38.53	40.02	40.81	1	0.0302
♀	0.1916	36.54	37.33	38.84	40.34	41.13	1	0.0302
♀	0.2300	37.08	37.89	39.41	40.93	41.73	1	0.0301
♀	0.2683	37.57	38.39	39.92	41.46	42.27	1	0.0300
♀	0.3066	38.05	38.87	40.41	41.94	42.76	1	0.0297
♀	0.3450	38.51	39.32	40.87	42.41	43.23	1	0.0295
♀	0.3833	38.94	39.76	41.31	42.87	43.69	1	0.0293
♀	0.4216	39.36	40.18	41.74	43.30	44.12	1	0.0291
♀	0.4600	39.73	40.56	42.13	43.69	44.52	1	0.0290
♀	0.4983	40.08	40.91	42.48	44.06	44.89	1	0.0289
♀	0.5366	40.41	41.24	42.82	44.39	45.22	1	0.0287
♀	0.6133	41.00	41.84	43.42	45.01	45.85	1	0.0285
♀	0.6899	41.52	42.36	43.95	45.55	46.39	1	0.0283
♀	0.7666	41.99	42.83	44.43	46.03	46.88	1	0.0281
♀	0.8433	42.44	43.29	44.88	46.48	47.33	1	0.0278
♀	0.9199	42.84	43.69	45.30	46.91	47.76	1	0.0277
♀	0.9966	43.20	44.05	45.66	47.27	48.12	1	0.0275
♀	2.0000	45.37	46.24	47.88	49.52	50.39	1	0.0268

HCM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	34.08	34.81	36.20	37.59	38.32	1	0.0299
♂	0.0192	34.50	35.23	36.62	38.01	38.74	1	0.0296
♂	0.0383	34.89	35.63	37.02	38.41	39.15	1	0.0293
♂	0.0575	35.28	36.01	37.41	38.81	39.54	1	0.0291
♂	0.0767	35.66	36.40	37.79	39.18	39.92	1	0.0288
♂	0.0958	36.03	36.77	38.17	39.57	40.31	1	0.0286
♂	0.1150	36.39	37.13	38.53	39.93	40.67	1	0.0284
♂	0.1342	36.77	37.51	38.91	40.31	41.05	1	0.0281
♂	0.1533	37.16	37.90	39.31	40.72	41.46	1	0.0279
♂	0.1725	37.56	38.31	39.71	41.11	41.86	1	0.0276
♂	0.1916	37.94	38.68	40.09	41.50	42.24	1	0.0274
♂	0.2300	38.66	39.40	40.81	42.22	42.96	1	0.0269
♂	0.2683	39.29	40.03	41.43	42.83	43.57	1	0.0264
♂	0.3066	39.83	40.57	41.97	43.37	44.11	1	0.0260
♂	0.3450	40.33	41.07	42.46	43.85	44.59	1	0.0256
♂	0.3833	40.80	41.53	42.92	44.31	45.04	1	0.0252
♂	0.4216	41.24	41.97	43.36	44.75	45.48	1	0.0250
♂	0.4600	41.64	42.38	43.78	45.18	45.92	1	0.0249
♂	0.4983	42.00	42.75	44.15	45.55	46.30	1	0.0248
♂	0.5366	42.33	43.07	44.48	45.89	46.63	1	0.0247
♂	0.6133	42.86	43.61	45.04	46.47	47.22	1	0.0247
♂	0.6899	43.30	44.06	45.50	46.94	47.70	1	0.0247
♂	0.7666	43.71	44.47	45.92	47.37	48.13	1	0.0246
♂	0.8433	44.09	44.86	46.32	47.78	48.55	1	0.0246
♂	0.9199	44.44	45.22	46.69	48.16	48.94	1	0.0246
♂	0.9966	44.74	45.53	47.01	48.49	49.28	1	0.0246
♂	2.0000	46.97	47.79	49.35	50.91	51.73	1	0.0246
♀	0.0000	33.41	34.14	35.50	36.86	37.59	1	0.0300
♀	0.0192	33.79	34.52	35.90	37.28	38.01	1	0.0300
♀	0.0383	34.07	34.81	36.20	37.59	38.33	1	0.0300
♀	0.0575	34.45	35.19	36.60	38.01	38.75	1	0.0300
♀	0.0767	34.73	35.48	36.90	38.32	39.07	1	0.0300
♀	0.0958	35.04	35.80	37.23	38.67	39.43	1	0.0301
♀	0.1150	35.35	36.12	37.57	39.02	39.78	1	0.0301
♀	0.1342	35.66	36.43	37.90	39.36	40.13	1	0.0301
♀	0.1533	35.96	36.74	38.22	39.70	40.48	1	0.0302
♀	0.1725	36.25	37.04	38.53	40.02	40.81	1	0.0302
♀	0.1916	36.54	37.33	38.84	40.34	41.13	1	0.0302
♀	0.2300	37.08	37.89	39.41	40.93	41.73	1	0.0301
♀	0.2683	37.57	38.39	39.92	41.46	42.27	1	0.0300
♀	0.3066	38.05	38.87	40.41	41.94	42.76	1	0.0297
♀	0.3450	38.51	39.32	40.87	42.41	43.23	1	0.0295
♀	0.3833	38.94	39.76	41.31	42.87	43.69	1	0.0293
♀	0.4216	39.36	40.18	41.74	43.30	44.12	1	0.0291
♀	0.4600	39.73	40.56	42.13	43.69	44.52	1	0.0290
♀	0.4983	40.08	40.91	42.48	44.06	44.89	1	0.0289
♀	0.5366	40.41	41.24	42.82	44.39	45.22	1	0.0287
♀	0.6133	41.00	41.84	43.42	45.01	45.85	1	0.0285
♀	0.6899	41.52	42.36	43.95	45.55	46.39	1	0.0283
♀	0.7666	41.99	42.83	44.43	46.03	46.88	1	0.0281
♀	0.8433	42.44	43.29	44.88	46.48	47.33	1	0.0278
♀	0.9199	42.84	43.69	45.30	46.91	47.76	1	0.0277
♀	0.9966	43.20	44.05	45.66	47.27	48.12	1	0.0275
♀	2.0000	45.37	46.24	47.88	49.52	50.39	1	0.0268

Country: Austria

ofenheimer_bf.ref

Citations

• Ofenheimer A, Breyer-Kohansal R, Hartl S, et al. Reference values of body composition parameters and visceral adipose tissue (VAT) by DXA in adults aged 18–81 years—results from the LEAD cohort. European Journal of Clinical Nutrition 2020;74(8):1181–91.

FMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	2.17	2.75	4.58	8.38	12.16	0.430	-0.309
♂	20	2.28	2.91	4.84	8.70	12.33	0.424	-0.256
♂	25	2.56	3.31	5.50	9.47	12.84	0.410	-0.128
♂	30	2.83	3.69	6.12	10.18	13.35	0.396	-0.013
♂	35	3.07	4.03	6.64	10.73	13.74	0.382	0.081
♂	40	3.30	4.35	7.11	11.22	14.11	0.369	0.153
♂	45	3.54	4.66	7.54	11.68	14.50	0.357	0.204
♂	50	3.79	4.97	7.93	12.08	14.85	0.345	0.239
♂	55	4.05	5.26	8.27	12.40	15.12	0.333	0.261
♂	60	4.28	5.53	8.55	12.63	15.28	0.321	0.277
♂	65	4.48	5.74	8.77	12.79	15.38	0.311	0.291
♂	70	4.67	5.93	8.93	12.84	15.33	0.300	0.310
♂	75	4.82	6.08	9.05	12.84	15.22	0.290	0.335
♂	80	4.96	6.22	9.14	12.81	15.08	0.280	0.364
♂	81	4.99	6.25	9.16	12.80	15.05	0.278	0.370
♀	18	4.17	4.92	7.01	10.84	14.31	0.304	-0.521
♀	20	4.16	4.92	7.08	11.04	14.61	0.311	-0.491
♀	25	4.09	4.92	7.26	11.56	15.42	0.330	-0.415
♀	30	4.03	4.92	7.46	12.12	16.26	0.349	-0.340
♀	35	4.03	4.99	7.74	12.73	17.06	0.364	-0.264
♀	40	4.11	5.16	8.14	13.42	17.84	0.372	-0.189
♀	45	4.29	5.43	8.62	14.06	18.42	0.371	-0.114
♀	50	4.53	5.77	9.18	14.71	18.95	0.365	-0.038
♀	55	4.84	6.19	9.80	15.39	19.48	0.355	0.037
♀	60	5.17	6.63	10.40	15.98	19.89	0.343	0.112
♀	65	5.48	7.02	10.91	16.39	20.09	0.330	0.188
♀	70	5.76	7.38	11.33	16.64	20.10	0.316	0.263
♀	75	6.04	7.73	11.72	16.88	20.13	0.303	0.338
♀	80	6.36	8.11	12.13	17.12	20.17	0.289	0.414
♀	81	6.41	8.18	12.21	17.18	20.21	0.287	0.429

LMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	13.53	14.59	16.83	19.44	21.00	0.112	-0.071
♂	20	13.70	14.74	16.95	19.54	21.08	0.110	-0.114
♂	25	14.05	15.06	17.24	19.82	21.37	0.107	-0.218
♂	30	14.35	15.35	17.49	20.04	21.59	0.104	-0.308
♂	35	14.57	15.55	17.67	20.20	21.74	0.102	-0.355
♂	40	14.71	15.70	17.82	20.34	21.87	0.101	-0.343
♂	45	14.82	15.82	17.94	20.44	21.95	0.100	-0.275
♂	50	14.91	15.92	18.04	20.52	21.98	0.099	-0.177
♂	55	14.98	15.99	18.12	20.56	21.99	0.098	-0.079
♂	60	15.01	16.02	18.12	20.49	21.87	0.096	0.009
♂	65	15.01	16.00	18.03	20.31	21.61	0.093	0.080
♂	70	14.95	15.91	17.88	20.04	21.28	0.090	0.143
♂	75	14.91	15.83	17.70	19.74	20.89	0.086	0.212
♂	80	14.84	15.73	17.53	19.46	20.55	0.083	0.284
♂	81	14.84	15.72	17.49	19.40	20.47	0.082	0.298
♀	18	11.30	12.01	13.60	15.66	17.01	0.103	-0.928
♀	20	11.40	12.10	13.70	15.78	17.16	0.103	-1.004
♀	25	11.62	12.32	13.93	16.08	17.55	0.103	-1.182
♀	30	11.83	12.53	14.15	16.36	17.88	0.103	-1.293
♀	35	12.01	12.71	14.36	16.60	18.16	0.103	-1.333
♀	40	12.13	12.85	14.53	16.82	18.41	0.104	-1.287
♀	45	12.20	12.95	14.66	16.94	18.48	0.104	-1.126
♀	50	12.24	13.01	14.75	17.01	18.50	0.104	-0.945
♀	55	12.25	13.04	14.82	17.09	18.56	0.105	-0.813
♀	60	12.29	13.09	14.88	17.15	18.60	0.105	-0.734
♀	65	12.33	13.14	14.94	17.21	18.67	0.105	-0.725
♀	70	12.39	13.20	15.00	17.29	18.76	0.105	-0.755
♀	75	12.42	13.23	15.06	17.38	18.89	0.106	-0.778
♀	80	12.47	13.29	15.12	17.46	18.97	0.106	-0.780
♀	81	12.49	13.30	15.14	17.47	18.99	0.106	-0.780

ALMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	6.33	6.88	8.09	9.55	10.45	0.128	-0.161
♂	20	6.39	6.95	8.15	9.62	10.52	0.127	-0.178
♂	25	6.53	7.08	8.29	9.76	10.66	0.125	-0.215
♂	30	6.61	7.16	8.37	9.84	10.75	0.124	-0.236
♂	35	6.64	7.19	8.39	9.83	10.72	0.122	-0.228
♂	40	6.66	7.21	8.40	9.83	10.70	0.121	-0.186
♂	45	6.68	7.23	8.41	9.81	10.65	0.119	-0.106
♂	50	6.68	7.24	8.42	9.79	10.61	0.118	0.005
♂	55	6.67	7.23	8.40	9.73	10.51	0.116	0.130
♂	60	6.59	7.15	8.31	9.61	10.35	0.115	0.260
♂	65	6.49	7.05	8.18	9.42	10.12	0.113	0.379
♂	70	6.37	6.92	8.03	9.23	9.90	0.112	0.482
♂	75	6.25	6.80	7.89	9.04	9.68	0.111	0.580
♂	80	6.16	6.70	7.75	8.86	9.47	0.109	0.677
♂	81	6.13	6.67	7.73	8.83	9.43	0.109	0.696
♀	18	4.89	5.25	6.09	7.29	8.17	0.127	-1.140
♀	20	4.93	5.30	6.18	7.40	8.25	0.129	-0.926
♀	25	4.96	5.39	6.36	7.59	8.36	0.133	-0.342
♀	30	4.88	5.39	6.46	7.64	8.32	0.136	0.370
♀	35	4.87	5.42	6.53	7.74	8.42	0.139	0.520
♀	40	5.05	5.53	6.59	7.90	8.71	0.139	-0.170
♀	45	5.11	5.55	6.57	7.92	8.82	0.138	-0.584
♀	50	5.10	5.54	6.53	7.86	8.74	0.136	-0.618
♀	55	5.08	5.52	6.52	7.80	8.64	0.135	-0.434
♀	60	5.04	5.50	6.53	7.80	8.59	0.136	-0.206
♀	65	5.07	5.53	6.56	7.84	8.64	0.136	-0.249
♀	70	5.11	5.55	6.55	7.85	8.71	0.135	-0.541
♀	75	5.16	5.58	6.56	7.86	8.73	0.133	-0.659
♀	80	5.23	5.65	6.62	7.88	8.71	0.129	-0.614
♀	81	5.25	5.67	6.63	7.88	8.70	0.128	-0.602

FMRAG

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	0.19	0.23	0.33	0.48	0.59	0.290	-0.154
♂	20	0.20	0.25	0.35	0.52	0.63	0.291	-0.081
♂	25	0.23	0.28	0.42	0.60	0.73	0.294	0.101
♂	30	0.25	0.32	0.48	0.69	0.82	0.297	0.273
♂	35	0.27	0.35	0.54	0.77	0.91	0.299	0.426
♂	40	0.30	0.39	0.60	0.84	0.98	0.295	0.550
♂	45	0.33	0.43	0.66	0.91	1.05	0.284	0.645
♂	50	0.36	0.47	0.71	0.97	1.12	0.273	0.712
♂	55	0.40	0.51	0.76	1.02	1.17	0.262	0.752
♂	60	0.43	0.55	0.80	1.06	1.21	0.253	0.769
♂	65	0.45	0.57	0.83	1.10	1.25	0.248	0.772
♂	70	0.47	0.59	0.85	1.13	1.28	0.246	0.773
♂	75	0.47	0.60	0.87	1.15	1.31	0.247	0.779
♂	80	0.48	0.61	0.88	1.18	1.34	0.250	0.788
♂	81	0.48	0.61	0.89	1.18	1.34	0.250	0.790
♀	18	0.16	0.20	0.28	0.40	0.48	0.279	-0.033
♀	20	0.16	0.20	0.29	0.41	0.50	0.287	-0.015
♀	25	0.16	0.20	0.30	0.44	0.54	0.306	0.030
♀	30	0.16	0.20	0.31	0.46	0.57	0.324	0.076
♀	35	0.16	0.21	0.32	0.50	0.62	0.340	0.121
♀	40	0.17	0.22	0.35	0.53	0.66	0.350	0.166
♀	45	0.18	0.23	0.38	0.58	0.71	0.352	0.211
♀	50	0.19	0.26	0.41	0.63	0.77	0.348	0.256
♀	55	0.22	0.29	0.46	0.69	0.84	0.339	0.302
♀	60	0.24	0.32	0.50	0.74	0.89	0.326	0.347
♀	65	0.26	0.34	0.53	0.77	0.92	0.311	0.392
♀	70	0.28	0.36	0.54	0.77	0.91	0.295	0.437
♀	75	0.29	0.37	0.55	0.76	0.89	0.279	0.482
♀	80	0.30	0.38	0.56	0.76	0.88	0.265	0.528
♀	81	0.30	0.38	0.56	0.76	0.88	0.262	0.537

FMRTL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	0.49	0.59	0.83	1.12	1.29	0.246	0.351
♂	20	0.52	0.63	0.88	1.19	1.37	0.247	0.389
♂	25	0.58	0.71	1.01	1.36	1.56	0.249	0.485
♂	30	0.63	0.79	1.12	1.51	1.73	0.251	0.581
♂	35	0.67	0.85	1.23	1.64	1.88	0.252	0.674
♂	40	0.72	0.92	1.33	1.76	2.01	0.248	0.755
♂	45	0.78	0.99	1.42	1.86	2.10	0.239	0.819
♂	50	0.85	1.07	1.49	1.94	2.18	0.229	0.861
♂	55	0.91	1.13	1.57	2.03	2.27	0.222	0.876
♂	60	0.97	1.19	1.64	2.11	2.36	0.217	0.868
♂	65	1.01	1.24	1.70	2.18	2.44	0.215	0.842
♂	70	1.03	1.26	1.73	2.22	2.49	0.217	0.809
♂	75	1.02	1.26	1.74	2.25	2.54	0.223	0.775
♂	80	1.00	1.25	1.75	2.28	2.58	0.232	0.742
♂	81	1.00	1.24	1.75	2.29	2.59	0.234	0.736
♀	18	0.47	0.56	0.76	0.99	1.13	0.219	0.439
♀	20	0.47	0.57	0.77	1.01	1.15	0.225	0.432
♀	25	0.47	0.57	0.79	1.06	1.22	0.242	0.413
♀	30	0.46	0.57	0.81	1.11	1.29	0.260	0.395
♀	35	0.46	0.57	0.84	1.16	1.36	0.274	0.377
♀	40	0.48	0.60	0.87	1.22	1.44	0.279	0.358
♀	45	0.51	0.63	0.92	1.29	1.52	0.277	0.340
♀	50	0.55	0.68	0.99	1.37	1.61	0.271	0.321
♀	55	0.60	0.74	1.06	1.47	1.73	0.267	0.303
♀	60	0.65	0.79	1.13	1.57	1.84	0.265	0.284
♀	65	0.68	0.83	1.18	1.63	1.91	0.263	0.266
♀	70	0.70	0.85	1.20	1.64	1.93	0.258	0.248
♀	75	0.71	0.86	1.20	1.63	1.91	0.252	0.229
♀	80	0.72	0.86	1.19	1.61	1.88	0.245	0.211
♀	81	0.72	0.86	1.19	1.61	1.87	0.243	0.207

VAT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	2.93	21.71	166.15	546.57	878.23	1.163	0.352
♂	20	5.03	32.14	217.33	674.42	1061.32	1.099	0.362
♂	25	15.06	68.58	349.68	950.61	1427.20	0.955	0.385
♂	30	34.70	122.95	505.96	1237.79	1788.33	0.844	0.408
♂	35	61.47	189.28	683.48	1558.14	2191.30	0.773	0.431
♂	40	97.33	270.12	880.83	1895.09	2605.45	0.716	0.455
♂	45	147.57	369.06	1089.08	2216.99	2983.62	0.661	0.478
♂	50	207.87	477.36	1294.94	2513.09	3319.71	0.614	0.501
♂	55	266.58	580.54	1486.37	2783.33	3623.66	0.580	0.525
♂	60	338.97	690.63	1653.05	2977.37	3817.54	0.542	0.548
♂	65	425.37	806.36	1796.33	3106.76	3921.36	0.502	0.571
♂	70	511.81	915.47	1920.72	3208.02	3994.15	0.468	0.594
♂	75	563.43	992.36	2035.71	3343.00	4131.17	0.453	0.618
♂	80	579.15	1040.43	2152.93	3529.65	4352.63	0.454	0.641
♂	81	579.90	1048.33	2176.87	3570.19	4401.70	0.455	0.646
♀	18	6.82	25.04	137.65	458.51	770.20	1.090	0.242
♀	20	7.26	26.77	146.05	480.44	801.59	1.081	0.248
♀	25	8.56	31.58	167.86	535.33	879.25	1.057	0.261
♀	30	10.74	39.40	203.31	628.38	1016.28	1.032	0.274
♀	35	14.33	51.54	255.30	761.60	1211.65	1.002	0.287
♀	40	20.49	69.81	322.89	919.03	1433.16	0.959	0.300
♀	45	32.18	98.54	407.58	1085.88	1649.63	0.895	0.313
♀	50	52.39	141.36	513.01	1267.09	1868.88	0.821	0.327
♀	55	83.74	200.84	644.23	1481.27	2124.85	0.751	0.340
♀	60	122.55	268.31	778.71	1686.04	2361.84	0.693	0.353
♀	65	162.91	333.43	895.60	1847.57	2538.11	0.647	0.366
♀	70	202.47	391.72	984.54	1946.72	2628.52	0.607	0.379
♀	75	237.28	441.52	1057.26	2023.87	2695.95	0.577	0.392
♀	80	269.26	486.99	1123.21	2093.95	2757.73	0.553	0.406
♀	81	276.42	496.56	1135.92	2106.39	2768.04	0.548	0.408

LMILOWFMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	12.43	13.59	15.89	18.35	19.71	0.117	0.576
♂	20	12.85	13.95	16.20	18.68	20.10	0.114	0.303
♂	25	13.76	14.74	16.88	19.45	21.02	0.108	-0.340
♂	30	14.28	15.17	17.18	19.78	21.49	0.103	-0.930
♂	35	14.37	15.22	17.12	19.59	21.21	0.098	-1.035
♂	40	14.26	15.15	17.04	19.28	20.62	0.094	-0.354
♂	45	14.23	15.17	17.08	19.16	20.33	0.091	0.269
♂	50	14.31	15.25	17.13	19.16	20.29	0.089	0.348
♂	55	14.48	15.40	17.24	19.25	20.38	0.087	0.241
♂	60	14.41	15.39	17.26	19.15	20.16	0.085	0.886
♂	65	14.27	15.29	17.16	18.95	19.87	0.083	1.390
♂	70	14.22	15.17	16.95	18.69	19.61	0.081	1.151
♂	75	14.17	15.10	16.84	18.56	19.45	0.080	1.161
♂	80	14.18	15.14	16.87	18.52	19.36	0.078	1.508
♂	81	14.17	15.14	16.88	18.53	19.36	0.078	1.578
♀	18	10.92	11.58	13.00	14.70	15.74	0.093	-0.477
♀	20	11.02	11.69	13.12	14.80	15.82	0.092	-0.413
♀	25	11.24	11.93	13.38	15.07	16.06	0.091	-0.247
♀	30	11.44	12.15	13.61	15.26	16.21	0.089	-0.049
♀	35	11.59	12.32	13.80	15.44	16.36	0.088	0.169
♀	40	11.72	12.46	13.95	15.54	16.42	0.086	0.389
♀	45	11.74	12.51	14.00	15.55	16.41	0.085	0.592
♀	50	11.73	12.49	13.97	15.50	16.33	0.084	0.715
♀	55	11.70	12.46	13.92	15.42	16.23	0.083	0.734
♀	60	11.73	12.46	13.87	15.33	16.13	0.081	0.656
♀	65	11.78	12.48	13.86	15.32	16.12	0.080	0.489
♀	70	11.87	12.54	13.90	15.36	16.18	0.079	0.259
♀	75	11.98	12.63	13.96	15.43	16.27	0.078	0.011
♀	80	12.13	12.75	14.04	15.50	16.34	0.076	-0.233
♀	81	12.15	12.77	14.06	15.52	16.37	0.076	-0.282

LMINORMFMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	13.93	14.85	16.85	19.25	20.72	0.101	-0.430
♂	20	14.00	14.93	16.92	19.29	20.74	0.100	-0.382
♂	25	14.17	15.11	17.09	19.42	20.82	0.098	-0.263
♂	30	14.34	15.28	17.27	19.55	20.89	0.096	-0.143
♂	35	14.51	15.46	17.44	19.67	20.97	0.094	-0.023
♂	40	14.70	15.65	17.60	19.77	21.01	0.091	0.096
♂	45	14.85	15.81	17.74	19.86	21.06	0.089	0.216
♂	50	14.99	15.95	17.86	19.93	21.09	0.087	0.336
♂	55	15.13	16.08	17.95	19.94	21.04	0.084	0.455
♂	60	15.23	16.16	17.98	19.89	20.93	0.081	0.575
♂	65	15.27	16.18	17.95	19.77	20.76	0.078	0.695
♂	70	15.28	16.16	17.86	19.60	20.52	0.075	0.814
♂	75	15.29	16.14	17.75	19.37	20.23	0.071	0.934
♂	80	15.27	16.09	17.63	19.16	19.97	0.068	1.054
♂	81	15.28	16.09	17.61	19.11	19.91	0.067	1.078
♀	18	11.41	12.04	13.40	15.02	16.01	0.086	-0.631
♀	20	11.51	12.14	13.49	15.10	16.08	0.085	-0.602
♀	25	11.70	12.35	13.73	15.36	16.34	0.085	-0.529
♀	30	11.89	12.55	13.94	15.56	16.54	0.084	-0.456
♀	35	12.04	12.71	14.13	15.77	16.75	0.084	-0.383
♀	40	12.19	12.87	14.29	15.92	16.89	0.083	-0.310
♀	45	12.29	12.98	14.41	16.05	17.02	0.083	-0.237
♀	50	12.38	13.07	14.51	16.13	17.07	0.082	-0.164
♀	55	12.43	13.14	14.59	16.21	17.15	0.082	-0.091
♀	60	12.53	13.23	14.68	16.28	17.21	0.081	-0.018
♀	65	12.61	13.32	14.79	16.40	17.32	0.081	0.055
♀	70	12.72	13.44	14.90	16.50	17.41	0.080	0.128
♀	75	12.81	13.54	15.02	16.63	17.53	0.080	0.201
♀	80	12.93	13.66	15.14	16.73	17.62	0.079	0.274
♀	81	12.94	13.68	15.17	16.76	17.65	0.079	0.289

LMIHIGHFMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	14.04	15.15	17.56	20.45	22.22	0.117	-0.219
♂	20	14.31	15.39	17.70	20.46	22.12	0.111	-0.223
♂	25	14.91	15.92	18.06	20.57	22.08	0.100	-0.231
♂	30	15.31	16.31	18.43	20.91	22.39	0.097	-0.239
♂	35	15.54	16.58	18.79	21.37	22.92	0.099	-0.247
♂	40	15.86	16.90	19.10	21.67	23.21	0.097	-0.255
♂	45	16.28	17.26	19.34	21.74	23.17	0.090	-0.263
♂	50	16.52	17.48	19.48	21.79	23.15	0.086	-0.271
♂	55	16.57	17.52	19.50	21.79	23.13	0.085	-0.279
♂	60	16.43	17.39	19.41	21.74	23.12	0.087	-0.287
♂	65	16.18	17.16	19.22	21.61	23.03	0.090	-0.295
♂	70	15.96	16.93	18.96	21.32	22.72	0.090	-0.303
♂	75	15.78	16.71	18.67	20.94	22.29	0.088	-0.311
♂	80	15.63	16.51	18.38	20.53	21.81	0.085	-0.319
♂	81	15.61	16.48	18.32	20.44	21.70	0.084	-0.321
♀	18	12.57	13.24	14.76	16.79	18.17	0.092	-1.376
♀	20	12.60	13.29	14.88	17.00	18.44	0.095	-1.348
♀	25	12.72	13.46	15.17	17.48	19.06	0.101	-1.280
♀	30	12.89	13.67	15.47	17.89	19.55	0.104	-1.211
♀	35	13.09	13.90	15.77	18.28	19.99	0.106	-1.143
♀	40	13.31	14.14	16.05	18.59	20.30	0.106	-1.074
♀	45	13.62	14.44	16.29	18.68	20.26	0.100	-1.006
♀	50	13.99	14.76	16.47	18.61	19.97	0.090	-0.937
♀	55	14.22	14.96	16.58	18.57	19.80	0.084	-0.869
♀	60	14.22	14.98	16.62	18.63	19.88	0.085	-0.800
♀	65	14.11	14.90	16.62	18.73	20.03	0.089	-0.732
♀	70	13.99	14.81	16.59	18.76	20.10	0.092	-0.663
♀	75	13.95	14.77	16.53	18.65	19.96	0.091	-0.594
♀	80	13.92	14.72	16.45	18.50	19.75	0.089	-0.526
♀	81	13.93	14.73	16.43	18.46	19.69	0.088	-0.512

LMINW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	14.05	14.88	16.55	18.36	19.38	0.082	0.245
♂	20	14.09	14.91	16.57	18.35	19.36	0.081	0.267
♂	30	14.21	15.02	16.63	18.35	19.30	0.078	0.374
♂	40	14.29	15.07	16.60	18.22	19.10	0.074	0.480
♂	50	14.27	15.03	16.50	18.03	18.87	0.071	0.587
♂	60	14.25	14.98	16.39	17.84	18.62	0.068	0.694
♂	70	14.21	14.91	16.25	17.62	18.35	0.065	0.801
♂	80	14.18	14.86	16.13	17.42	18.10	0.062	0.907
♀	18	11.69	12.27	13.49	14.88	15.69	0.075	-0.376
♀	20	11.75	12.34	13.56	14.95	15.76	0.075	-0.317
♀	30	12.02	12.63	13.87	15.23	16.00	0.073	-0.024
♀	40	12.17	12.80	14.05	15.39	16.14	0.072	0.269
♀	50	12.14	12.78	14.01	15.29	15.99	0.070	0.561
♀	60	12.02	12.66	13.87	15.11	15.77	0.069	0.854
♀	70	11.96	12.61	13.83	15.02	15.65	0.068	1.147
♀	80	11.98	12.64	13.85	15.02	15.62	0.067	1.440

LMIOW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	16.05	16.79	18.43	20.53	21.91	0.078	-1.458
♂	20	16.04	16.77	18.40	20.45	21.78	0.077	-1.358
♂	30	15.98	16.71	18.26	20.10	21.22	0.072	-0.854
♂	40	15.95	16.68	18.17	19.85	20.83	0.068	-0.350
♂	50	15.98	16.70	18.13	19.67	20.53	0.064	0.154
♂	60	15.95	16.66	18.03	19.43	20.19	0.060	0.658
♂	70	15.77	16.47	17.78	19.07	19.75	0.057	1.162
♂	80	15.62	16.29	17.51	18.67	19.27	0.053	1.666
♀	18	13.60	14.06	15.14	16.62	17.66	0.064	-2.745
♀	20	13.60	14.08	15.16	16.63	17.65	0.064	-2.622
♀	30	13.69	14.18	15.28	16.69	17.61	0.063	-2.004
♀	40	13.77	14.29	15.43	16.81	17.66	0.063	-1.386
♀	50	13.66	14.21	15.34	16.65	17.43	0.062	-0.768
♀	60	13.40	13.97	15.11	16.37	17.08	0.062	-0.150
♀	70	13.31	13.90	15.05	16.25	16.91	0.061	0.468
♀	80	13.23	13.85	15.03	16.20	16.82	0.061	1.085

LMIADI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	16.89	17.97	19.99	21.97	23.01	0.078	1.162
♂	20	16.98	18.02	20.01	22.02	23.09	0.078	0.881
♂	30	17.43	18.30	20.13	22.24	23.49	0.076	-0.456
♂	40	17.68	18.47	20.20	22.34	23.71	0.074	-1.266
♂	50	17.68	18.42	20.08	22.18	23.56	0.072	-1.598
♂	60	17.51	18.23	19.83	21.84	23.15	0.070	-1.599
♂	70	17.10	17.81	19.35	21.22	22.37	0.068	-1.163
♂	80	16.50	17.22	18.74	20.45	21.46	0.067	-0.500
♀	18	15.13	15.72	17.05	18.74	19.86	0.068	-1.812
♀	20	15.11	15.72	17.08	18.84	20.00	0.070	-1.809
♀	30	14.97	15.66	17.26	19.43	20.92	0.083	-1.794
♀	40	15.02	15.73	17.35	19.56	21.09	0.084	-1.779
♀	50	15.11	15.76	17.22	19.13	20.41	0.075	-1.764
♀	60	14.93	15.55	16.96	18.78	19.99	0.073	-1.749
♀	70	14.64	15.28	16.74	18.66	19.94	0.077	-1.734
♀	80	14.50	15.12	16.52	18.36	19.58	0.075	-1.720

ALMINW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	6.58	7.02	7.97	9.14	9.86	0.103	-0.495
♂	20	6.58	7.02	7.97	9.11	9.82	0.102	-0.430
♂	30	6.54	6.98	7.92	9.00	9.64	0.099	-0.106
♂	40	6.46	6.91	7.81	8.81	9.38	0.095	0.219
♂	50	6.34	6.78	7.66	8.59	9.10	0.092	0.543
♂	60	6.18	6.62	7.46	8.32	8.78	0.089	0.868
♂	70	6.01	6.44	7.25	8.04	8.45	0.086	1.193
♂	80	5.85	6.28	7.05	7.78	8.15	0.083	1.517
♀	18	5.03	5.36	6.10	7.04	7.65	0.106	-0.755
♀	20	5.05	5.39	6.13	7.08	7.68	0.106	-0.714
♀	30	5.14	5.49	6.24	7.16	7.74	0.104	-0.510
♀	40	5.12	5.47	6.22	7.11	7.64	0.102	-0.305
♀	50	5.03	5.38	6.11	6.95	7.44	0.100	-0.101
♀	60	4.92	5.26	5.97	6.77	7.23	0.098	0.103
♀	70	4.86	5.21	5.91	6.68	7.11	0.097	0.308
♀	80	4.85	5.20	5.90	6.64	7.05	0.095	0.512

ALMIOW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	7.55	7.97	8.96	10.40	11.47	0.102	-1.765
♂	20	7.51	7.93	8.93	10.31	11.29	0.101	-1.489
♂	30	7.24	7.73	8.75	9.89	10.54	0.096	0.069
♂	40	7.09	7.59	8.58	9.62	10.18	0.092	0.636
♂	50	7.11	7.54	8.43	9.43	10.01	0.087	-0.073
♂	60	6.95	7.38	8.23	9.13	9.63	0.083	0.450
♂	70	6.67	7.15	7.99	8.77	9.16	0.079	1.676
♂	80	6.55	6.98	7.75	8.49	8.87	0.076	1.468
♀	18	6.06	6.34	7.00	7.96	8.66	0.087	-2.164
♀	20	6.05	6.33	7.00	7.95	8.64	0.087	-2.097
♀	30	6.01	6.30	6.97	7.90	8.54	0.087	-1.763
♀	40	5.96	6.26	6.95	7.84	8.45	0.087	-1.429
♀	50	5.87	6.17	6.85	7.70	8.25	0.086	-1.095
♀	60	5.71	6.02	6.70	7.51	8.02	0.086	-0.762
♀	70	5.59	5.91	6.58	7.36	7.83	0.086	-0.428
♀	80	5.49	5.81	6.49	7.25	7.69	0.086	-0.094

ALMIADI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	7.94	8.56	9.72	10.90	11.52	0.094	0.939
♂	20	7.97	8.57	9.72	10.91	11.55	0.094	0.717
♂	30	8.12	8.62	9.69	10.94	11.69	0.093	-0.329
♂	40	8.14	8.60	9.62	10.90	11.71	0.092	-0.888
♂	50	8.00	8.46	9.45	10.68	11.46	0.091	-0.828
♂	60	7.73	8.19	9.18	10.35	11.05	0.091	-0.403
♂	70	7.37	7.84	8.81	9.88	10.48	0.090	0.175
♂	80	6.95	7.44	8.39	9.35	9.87	0.089	0.811
♀	18	6.28	6.93	8.02	8.97	9.43	0.098	2.086
♀	20	6.41	6.99	8.03	9.01	9.51	0.098	1.433
♀	30	6.75	7.15	8.06	9.23	10.00	0.099	-1.014
♀	40	6.74	7.13	8.03	9.21	10.00	0.099	-1.182
♀	50	6.56	6.96	7.86	8.98	9.70	0.099	-0.789
♀	60	6.32	6.74	7.64	8.69	9.31	0.099	-0.241
♀	70	6.32	6.67	7.48	8.62	9.45	0.099	-1.648
♀	80	6.11	6.49	7.34	8.37	9.01	0.099	-0.564

Country: Portugal

portug.ref

Citations

• Chaves, R., Baxter-Jones, A., Souza, M., Santos, D. & Maia, J. Height, weight, body composition, and waist circumference references for 7-to 17-year-old children from rural Portugal. HOMO-Journal of Comparative Human Biology 66, 264–277 (2015).

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	1.09	1.14	1.24	1.33	1.38	1.51	0.06
♀	8	1.15	1.20	1.28	1.36	1.40	1.48	0.05
♀	9	1.19	1.23	1.32	1.40	1.45	1.44	0.05
♀	10	1.24	1.29	1.38	1.47	1.51	1.40	0.05
♀	11	1.30	1.35	1.44	1.53	1.58	1.37	0.05
♀	12	1.36	1.41	1.51	1.61	1.66	1.33	0.05
♀	13	1.40	1.46	1.56	1.66	1.71	1.29	0.05
♀	14	1.44	1.50	1.60	1.70	1.75	1.26	0.05
♀	15	1.46	1.52	1.62	1.72	1.78	1.22	0.05
♀	16	1.48	1.53	1.64	1.74	1.80	1.18	0.05
♀	17	1.53	1.57	1.66	1.74	1.79	1.15	0.04
♂	7	1.14	1.17	1.25	1.33	1.38	-0.68	0.05
♂	8	1.17	1.21	1.29	1.38	1.42	-0.20	0.05
♂	9	1.20	1.25	1.33	1.42	1.47	0.28	0.05
♂	10	1.25	1.29	1.38	1.47	1.52	0.76	0.05
♂	11	1.30	1.35	1.44	1.53	1.58	1.24	0.05
♂	12	1.35	1.40	1.50	1.59	1.64	1.73	0.05
♂	13	1.41	1.47	1.57	1.67	1.72	2.21	0.05
♂	14	1.45	1.51	1.62	1.72	1.77	2.69	0.05
♂	15	1.49	1.55	1.67	1.77	1.82	3.17	0.05
♂	16	1.51	1.58	1.70	1.80	1.85	3.65	0.05
♂	17	1.56	1.62	1.72	1.80	1.84	4.13	0.04

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	18.56	20.89	26.62	34.97	41.01	-0.46	0.20
♀	8	19.74	22.33	28.79	38.36	45.39	-0.45	0.21
♀	9	21.52	24.36	31.42	41.84	49.48	-0.44	0.21
♀	10	23.80	26.95	34.76	46.27	54.68	-0.43	0.21
♀	11	26.70	30.25	39.03	51.93	61.33	-0.42	0.21
♀	12	30.65	34.55	44.08	57.79	67.58	-0.41	0.20
♀	13	34.85	39.09	49.32	63.72	73.82	-0.40	0.19
♀	14	38.55	43.02	53.65	68.32	78.42	-0.39	0.18
♀	15	41.53	46.10	56.83	71.34	81.15	-0.38	0.17
♀	16	44.84	49.23	59.28	72.36	80.92	-0.37	0.15
♀	17	47.31	51.65	61.46	73.98	82.05	-0.36	0.14
♂	7	19.78	21.71	26.68	34.77	41.55	-1.07	0.18
♂	8	20.78	22.97	28.61	37.71	45.19	-0.93	0.19
♂	9	22.33	24.88	31.42	41.84	50.23	-0.79	0.20
♂	10	24.19	27.18	34.83	46.82	56.23	-0.65	0.21
♂	11	26.85	30.31	39.01	52.11	61.92	-0.51	0.21
♂	12	29.96	34.00	43.95	58.35	68.69	-0.37	0.21
♂	13	33.23	37.92	49.24	65.01	75.88	-0.23	0.21
♂	14	36.97	42.19	54.38	70.45	80.99	-0.08	0.20
♂	15	39.73	45.63	59.08	76.19	87.04	0.06	0.20
♂	16	42.74	49.04	62.94	79.83	90.14	0.20	0.19
♂	17	45.48	52.09	66.23	82.70	92.42	0.34	0.18

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	13.84	14.82	17.22	20.80	23.56	-1.37	0.13
♀	8	13.89	14.94	17.55	21.54	24.69	-1.33	0.14
♀	9	14.20	15.29	17.96	22.03	25.22	-1.30	0.14
♀	10	14.27	15.43	18.33	22.84	26.46	-1.26	0.15
♀	11	14.59	15.78	18.75	23.35	27.01	-1.23	0.15
♀	12	15.06	16.30	19.38	24.11	27.83	-1.19	0.15
♀	13	15.70	17.00	20.22	25.13	28.97	-1.16	0.15
♀	14	16.26	17.62	20.97	26.04	29.95	-1.12	0.15
♀	15	16.97	18.31	21.57	26.34	29.88	-1.09	0.14
♀	16	17.34	18.72	22.07	26.92	30.50	-1.05	0.14
♀	17	17.92	19.27	22.47	26.97	30.18	-1.02	0.13
♂	7	14.45	15.12	16.85	19.82	22.68	-3.06	0.10
♂	8	14.45	15.20	17.13	20.45	23.63	-2.70	0.11
♂	9	14.36	15.23	17.53	21.64	25.78	-2.35	0.13
♂	10	14.50	15.47	18.03	22.54	26.92	-2.04	0.14
♂	11	14.88	15.92	18.60	23.09	27.10	-1.78	0.14
♂	12	15.10	16.25	19.23	24.17	28.50	-1.56	0.15
♂	13	15.57	16.80	19.91	24.92	29.13	-1.42	0.15
♂	14	16.06	17.34	20.58	25.70	29.91	-1.34	0.15
♂	15	16.56	17.89	21.23	26.51	30.82	-1.33	0.15
♂	16	16.99	18.35	21.77	27.19	31.63	-1.34	0.15
♂	17	17.63	18.95	22.25	27.34	31.39	-1.37	0.14

WC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	0.49	0.52	0.58	0.67	0.73	-1.46	0.10
♀	8	0.50	0.53	0.60	0.70	0.78	-1.57	0.11
♀	9	0.51	0.54	0.61	0.72	0.80	-1.69	0.11
♀	10	0.53	0.56	0.63	0.74	0.83	-1.81	0.11
♀	11	0.53	0.56	0.64	0.75	0.85	-1.92	0.11
♀	12	0.56	0.59	0.66	0.77	0.85	-2.04	0.10
♀	13	0.57	0.60	0.67	0.78	0.86	-2.15	0.10
♀	14	0.58	0.61	0.68	0.79	0.88	-2.27	0.10
♀	15	0.60	0.62	0.69	0.79	0.87	-2.38	0.09
♀	16	0.60	0.63	0.70	0.80	0.88	-2.50	0.09
♀	17	0.61	0.64	0.71	0.81	0.90	-2.62	0.09
♂	7	0.51	0.53	0.57	0.64	0.70	-4.36	0.07
♂	8	0.52	0.54	0.59	0.67	0.76	-4.10	0.08
♂	9	0.53	0.55	0.61	0.71	0.81	-3.85	0.09
♂	10	0.54	0.57	0.63	0.75	0.87	-3.59	0.10
♂	11	0.56	0.58	0.65	0.77	0.89	-3.33	0.10
♂	12	0.56	0.59	0.66	0.79	0.93	-3.08	0.11
♂	13	0.57	0.60	0.68	0.81	0.95	-2.82	0.11
♂	14	0.59	0.62	0.70	0.83	0.96	-2.56	0.11
♂	15	0.60	0.64	0.72	0.85	0.97	-2.31	0.11
♂	16	0.62	0.65	0.74	0.87	0.98	-2.05	0.11
♂	17	0.63	0.67	0.76	0.89	1.00	-1.79	0.11

BODYFAT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	17.14	19.23	24.10	30.52	34.75	-0.20	0.18
♀	8	17.51	19.58	24.46	31.08	35.57	-0.32	0.18
♀	9	17.83	19.87	24.77	31.57	36.29	-0.42	0.18
♀	10	17.69	19.79	24.92	32.29	37.56	-0.48	0.19
♀	11	17.71	19.82	24.96	32.33	37.59	-0.47	0.19
♀	12	17.73	19.89	25.10	32.42	37.53	-0.39	0.19
♀	13	17.92	20.20	25.59	32.90	37.83	-0.25	0.19
♀	14	18.24	20.68	26.32	33.66	38.41	-0.08	0.19
♀	15	18.47	21.12	27.04	34.37	38.92	0.12	0.19
♀	16	18.17	21.18	27.72	35.42	40.00	0.36	0.20
♀	17	18.14	21.48	28.39	36.02	40.35	0.61	0.20
♂	7	15.97	17.04	19.85	24.82	29.67	-2.05	0.14
♂	8	15.49	16.71	20.07	26.51	33.56	-1.86	0.17
♂	9	15.18	16.54	20.29	27.68	36.01	-1.66	0.19
♂	10	14.75	16.22	20.34	28.64	38.15	-1.48	0.21
♂	11	14.00	15.55	19.96	28.92	39.19	-1.30	0.23
♂	12	13.03	14.63	19.22	28.65	39.42	-1.15	0.25
♂	13	12.16	13.76	18.33	27.54	37.60	-1.02	0.26
♂	14	11.54	13.10	17.51	26.09	34.93	-0.93	0.26
♂	15	11.11	12.65	16.96	25.12	33.16	-0.86	0.26
♂	16	10.89	12.44	16.73	24.61	32.03	-0.78	0.26
♂	17	10.93	12.48	16.66	23.95	30.36	-0.70	0.25

Country: Turkey

turkish.ref

Citations

• Hatipoglu, N. et al. Waist circumference percentiles for 7- to 17-year-old Turkish children and adolescents. Eur J Pediatr 167, 383-389 (2008)
• Bundak, R. et al. Body mass index references for Turkish children. Acta Paediatrica 95, 194-198 (2006).
• Neyzi, O., Furman, A., Bundak, R., Gunoz, H., Darendeliler, F., Bas, F., 2006. Growth references for Turkish children aged 6 to 18 years. Acta Pædiatrica 95, 1635–1641. doi:10.1080/08035250600652013

WC_HATI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	45.38	47.88	53.35	60.03	64.21	-0.784	0.088
♀	8	46.25	48.91	54.74	61.96	66.51	-0.797	0.092
♀	9	47.42	50.20	56.38	64.10	69.02	-0.834	0.095
♀	10	48.90	51.77	58.18	66.28	71.50	-0.898	0.096
♀	11	50.46	53.40	59.98	68.37	73.82	-0.966	0.096
♀	12	52.06	55.03	61.72	70.30	75.92	-1.049	0.095
♀	13	53.80	56.74	63.36	71.93	77.59	-1.168	0.092
♀	14	55.25	58.15	64.74	73.37	79.14	-1.322	0.090
♀	15	56.39	59.22	65.65	74.16	79.91	-1.482	0.087
♀	16	57.21	59.94	66.19	74.51	80.19	-1.639	0.084
♀	17	57.87	60.51	66.55	74.65	80.22	-1.793	0.081
♂	7	45.76	48.39	54.18	61.30	65.77	-0.757	0.092
♂	8	47.25	50.08	56.41	64.45	69.66	-0.905	0.098
♂	9	48.66	51.67	58.50	67.38	73.25	-0.979	0.103
♂	10	50.04	53.22	60.46	69.94	76.26	-0.972	0.106
♂	11	51.52	54.87	62.51	72.48	79.10	-0.920	0.108
♂	12	53.12	56.66	64.65	75.01	81.83	-0.846	0.109
♂	13	54.92	58.60	66.85	77.36	84.17	-0.749	0.108
♂	14	56.69	60.49	68.91	79.43	86.11	-0.633	0.106
♂	15	58.14	62.04	70.57	81.02	87.54	-0.522	0.104
♂	16	59.21	63.19	71.84	82.31	88.76	-0.442	0.103
♂	17	60.34	64.35	73.02	83.39	89.72	-0.389	0.101

BMI_BUNDAK

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	12.60	13.44	15.65	19.59	23.51	-2.10	0.14
♀	7	13.04	13.74	15.53	18.41	20.91	-2.30	0.11
♀	8	13.12	13.92	15.93	19.11	21.76	-1.90	0.12
♀	9	13.05	14.04	16.48	20.24	23.23	-1.36	0.14
♀	10	13.40	14.49	17.22	21.45	24.82	-1.24	0.15
♀	11	13.78	14.99	17.90	22.10	25.15	-0.88	0.15
♀	12	14.84	16.14	19.14	23.13	25.81	-0.58	0.14
♀	13	15.63	16.93	20.01	24.30	27.32	-0.83	0.14
♀	14	16.77	17.94	20.68	24.46	27.12	-1.07	0.12
♀	15	17.51	18.56	21.09	24.72	27.41	-1.54	0.11
♀	16	17.55	18.59	21.10	24.77	27.54	-1.65	0.11
♀	17	17.72	18.81	21.39	25.03	27.65	-1.40	0.11
♀	18	18.90	19.92	22.19	25.12	27.04	-1.18	0.09
♂	6	13.49	13.99	15.25	17.36	19.33	-3.81	0.08
♂	7	13.31	14.02	15.73	18.21	20.07	-1.85	0.10
♂	8	13.33	14.12	16.02	18.82	20.95	-1.70	0.11
♂	9	13.84	14.64	16.60	19.53	21.81	-1.80	0.11
♂	10	13.58	14.49	16.77	20.41	23.47	-1.73	0.13
♂	11	14.15	15.30	18.29	23.38	27.97	-1.51	0.16
♂	12	14.51	16.00	19.61	24.81	28.57	-0.66	0.17
♂	13	14.98	16.38	19.78	24.79	28.51	-0.86	0.16
♂	14	15.67	17.06	20.40	25.14	28.52	-0.80	0.15
♂	15	16.71	17.93	21.00	25.92	30.04	-1.56	0.14
♂	16	17.46	18.69	21.70	26.24	29.77	-1.42	0.13
♂	17	18.53	19.75	22.69	27.00	30.25	-1.45	0.12
♂	18	18.32	19.76	23.11	27.63	30.70	-0.78	0.13

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	106.21	109.25	115.0	120.75	123.79	1	0.039
♀	7	111.28	114.64	121.0	127.36	130.72	1	0.041
♀	8	116.27	119.88	126.7	133.52	137.13	1	0.042
♀	9	120.71	124.65	132.1	139.55	143.49	1	0.044
♀	10	125.11	129.50	137.8	146.10	150.49	1	0.047
♀	11	132.01	136.64	145.4	154.16	158.79	1	0.047
♀	12	140.50	144.86	153.1	161.34	165.70	1	0.042
♀	13	146.05	150.12	157.8	165.48	169.55	1	0.038
♀	14	148.68	152.70	160.3	167.90	171.92	1	0.037
♀	15	150.29	154.24	161.7	169.16	173.11	1	0.036
♀	16	150.94	154.91	162.4	169.89	173.86	1	0.036
♀	17	151.22	155.19	162.7	170.21	174.18	1	0.036
♀	18	151.59	155.58	163.1	170.62	174.61	1	0.036
♂	6	106.91	110.05	116.0	121.95	125.09	1	0.040
♂	7	111.74	115.12	121.5	127.88	131.26	1	0.041
♂	8	116.45	120.07	126.9	133.73	137.35	1	0.042
♂	9	120.97	124.82	132.1	139.38	143.23	1	0.043
♂	10	126.00	130.02	137.6	145.18	149.20	1	0.043
♂	11	131.12	135.51	143.8	152.09	156.48	1	0.045
♂	12	136.43	141.34	150.6	159.86	164.77	1	0.048
♂	13	142.25	147.59	157.7	167.81	173.15	1	0.050
♂	14	149.71	154.97	164.9	174.83	180.09	1	0.047
♂	15	156.37	161.23	170.4	179.57	184.43	1	0.042
♂	16	160.49	164.96	173.4	181.84	186.31	1	0.038
♂	17	162.22	166.61	174.9	183.19	187.58	1	0.037
♂	18	163.93	168.11	176.0	183.89	188.07	1	0.035

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	13.88	16.13	20.4	24.70	26.99	0.97	0.164
♀	7	15.56	18.01	22.8	27.76	30.46	0.83	0.167
♀	8	17.47	20.17	25.6	31.44	34.69	0.67	0.172
♀	9	19.55	22.54	28.8	35.90	40.00	0.46	0.181
♀	10	22.00	25.33	32.7	41.67	47.14	0.21	0.194
♀	11	25.84	29.62	38.3	49.46	56.59	0.02	0.200
♀	12	31.48	35.75	45.2	56.72	63.78	0.14	0.180
♀	13	36.97	41.11	50.1	60.85	67.35	0.09	0.153
♀	14	41.04	44.95	53.3	63.05	68.86	0.08	0.132
♀	15	43.19	47.09	55.2	64.38	69.70	0.21	0.122
♀	16	44.34	48.25	56.3	65.29	70.46	0.27	0.118
♀	17	45.18	49.09	57.1	65.94	70.97	0.33	0.115
♀	18	46.17	50.12	58.1	66.80	71.71	0.40	0.112
♂	6	15.11	16.93	20.3	23.59	25.31	1.14	0.128
♂	7	16.75	18.99	23.2	27.38	29.58	1.04	0.141
♂	8	18.20	20.85	25.9	31.00	33.72	0.95	0.153
♂	9	19.61	22.73	28.8	35.05	38.43	0.86	0.167
♂	10	21.11	24.74	32.0	39.73	44.01	0.73	0.183
♂	11	24.25	28.60	37.9	48.62	54.89	0.46	0.206
♂	12	28.93	33.63	44.5	58.52	67.48	0.08	0.216
♂	13	32.65	37.85	49.7	64.69	74.13	0.12	0.209
♂	14	38.54	43.96	56.2	71.55	81.17	0.07	0.190
♂	15	44.34	49.93	62.2	77.01	86.03	0.13	0.169
♂	16	48.27	54.03	66.2	80.21	88.41	0.29	0.154
♂	17	51.02	56.90	69.1	82.78	90.63	0.39	0.146
♂	18	53.18	59.20	71.5	85.04	92.71	0.47	0.141

Country: UK

uk1990.ref

Citations

• Cole, T.J., Freeman, J.V., Preece, M.A., 1998. British 1990 growth reference centiles for weight, height, body mass index and head circumference fitted by maximum penalized likelihood. Statistics in medicine 17, 407–429.
• Cole, T.J., Freeman, J.V., Preece, M.A., 1995. Body mass index reference curves for the UK, 1990. Archives of disease in childhood 73, 25–29.

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	-0.134	41.14	42.32	44.56	46.80	47.98	1	0.0392
♀	-0.115	41.91	43.11	45.37	47.63	48.83	1	0.0389
♀	-0.096	42.68	43.89	46.18	48.47	49.68	1	0.0386
♀	-0.077	43.46	44.68	46.99	49.30	50.52	1	0.0384
♀	-0.057	44.23	45.47	47.80	50.13	51.37	1	0.0381
♀	-0.038	45.01	46.26	48.61	50.96	52.21	1	0.0378
♀	-0.019	45.78	47.03	49.41	51.79	53.04	1	0.0375
♀	0.000	46.55	47.82	50.22	52.62	53.89	1	0.0372
♀	0.083	49.89	51.21	53.69	56.17	57.49	1	0.0361
♀	0.167	53.01	54.36	56.91	59.46	60.81	1	0.0350
♀	0.250	55.74	57.12	59.73	62.34	63.72	1	0.0340
♀	0.333	58.06	59.46	62.11	64.76	66.16	1	0.0333
♀	0.417	59.99	61.42	64.11	66.80	68.23	1	0.0328
♀	0.500	61.63	63.08	65.82	68.56	70.01	1	0.0324
♀	0.583	63.10	64.57	67.36	70.15	71.62	1	0.0323
♀	0.667	64.43	65.93	68.77	71.61	73.11	1	0.0322
♀	0.750	65.68	67.22	70.12	73.02	74.56	1	0.0323
♀	0.833	66.88	68.45	71.42	74.39	75.96	1	0.0324
♀	0.917	68.04	69.65	72.69	75.73	77.34	1	0.0326
♀	1.000	69.16	70.81	73.92	77.03	78.68	1	0.0329
♀	2.000	79.73	81.84	85.82	89.80	91.91	1	0.0362
♀	3.000	87.45	89.89	94.52	99.15	101.59	1	0.0382
♀	4.000	93.65	96.38	101.54	106.70	109.43	1	0.0397
♀	5.000	100.09	103.13	108.86	114.59	117.63	1	0.0411
♀	6.000	105.82	109.11	115.33	121.55	124.84	1	0.0421
♀	7.000	111.14	114.65	121.27	127.89	131.40	1	0.0426
♀	8.000	116.61	120.33	127.34	134.35	138.07	1	0.0430
♀	9.000	121.37	125.33	132.82	140.31	144.27	1	0.0440
♀	10.000	125.97	130.28	138.43	146.58	150.89	1	0.0459
♀	11.000	130.60	135.28	144.12	152.96	157.64	1	0.0478
♀	12.000	135.80	140.63	149.76	158.89	163.72	1	0.0476
♀	13.000	141.70	146.40	155.28	164.16	168.86	1	0.0446
♀	14.000	146.78	151.22	159.61	168.00	172.44	1	0.0410
♀	15.000	149.97	154.19	162.18	170.17	174.39	1	0.0384
♀	16.000	151.28	155.41	163.22	171.03	175.16	1	0.0373
♀	17.000	151.65	155.75	163.51	171.27	175.37	1	0.0370
♀	18.000	151.72	155.82	163.57	171.32	175.42	1	0.0369
♀	19.000	151.79	155.89	163.63	171.37	175.47	1	0.0369
♀	20.000	151.81	155.90	163.64	171.38	175.47	1	0.0369
♀	21.000	151.83	155.92	163.66	171.40	175.49	1	0.0369
♀	22.000	151.90	156.00	163.73	171.46	175.56	1	0.0368
♀	23.000	152.00	156.09	163.82	171.55	175.64	1	0.0368
♂	-0.134	41.40	42.66	45.05	47.44	48.70	1	0.0414
♂	-0.115	42.21	43.49	45.91	48.33	49.61	1	0.0411
♂	-0.096	43.03	44.32	46.76	49.20	50.49	1	0.0408
♂	-0.077	43.85	45.15	47.62	50.09	51.39	1	0.0404
♂	-0.057	44.67	45.99	48.48	50.97	52.29	1	0.0401
♂	-0.038	45.49	46.82	49.34	51.86	53.19	1	0.0398
♂	-0.019	46.31	47.65	50.19	52.73	54.07	1	0.0394
♂	0.000	47.13	48.48	51.04	53.60	54.95	1	0.0391
♂	0.083	50.65	52.05	54.70	57.35	58.75	1	0.0378
♂	0.167	53.94	55.37	58.09	60.81	62.24	1	0.0365
♂	0.250	56.83	58.30	61.07	63.84	65.31	1	0.0354
♂	0.333	59.28	60.77	63.59	66.41	67.90	1	0.0345
♂	0.417	61.34	62.86	65.71	68.56	70.08	1	0.0339
♂	0.500	63.07	64.60	67.49	70.38	71.91	1	0.0334
♂	0.583	64.56	66.11	69.04	71.97	73.52	1	0.0331
♂	0.667	65.90	67.47	70.45	73.43	75.00	1	0.0330
♂	0.750	67.15	68.75	71.78	74.81	76.41	1	0.0329
♂	0.833	68.35	69.99	73.07	76.15	77.79	1	0.0329
♂	0.917	69.51	71.18	74.32	77.46	79.13	1	0.0330
♂	1.000	70.61	72.30	75.51	78.72	80.41	1	0.0331
♂	2.000	80.75	82.84	86.80	90.76	92.85	1	0.0356
♂	3.000	88.27	90.74	95.41	100.08	102.55	1	0.0382
♂	4.000	94.44	97.23	102.49	107.75	110.54	1	0.0401
♂	5.000	100.72	103.79	109.59	115.39	118.46	1	0.0413
♂	6.000	106.41	109.70	115.93	122.16	125.45	1	0.0419
♂	7.000	111.79	115.29	121.90	128.51	132.01	1	0.0423
♂	8.000	117.12	120.83	127.85	134.87	138.58	1	0.0428
♂	9.000	121.91	125.85	133.28	140.71	144.65	1	0.0435
♂	10.000	126.27	130.47	138.39	146.31	150.51	1	0.0447
♂	11.000	130.34	134.85	143.37	151.89	156.40	1	0.0464
♂	12.000	134.26	139.14	148.36	157.58	162.46	1	0.0485
♂	13.000	139.40	144.72	154.77	164.82	170.14	1	0.0507
♂	14.000	146.10	151.73	162.36	172.99	178.62	1	0.0511
♂	15.000	153.01	158.52	168.94	179.36	184.87	1	0.0481
♂	16.000	158.47	163.64	173.39	183.14	188.31	1	0.0439
♂	17.000	161.80	166.69	175.92	185.15	190.04	1	0.0410
♂	18.000	163.35	168.11	177.09	186.07	190.83	1	0.0396
♂	19.000	163.61	168.34	177.28	186.22	190.95	1	0.0394
♂	20.000	163.68	168.41	177.34	186.27	191.00	1	0.0393
♂	21.000	163.98	168.69	177.57	186.45	191.16	1	0.0390
♂	22.000	164.35	169.02	177.85	186.68	191.35	1	0.0387
♂	23.000	164.84	169.48	178.23	186.98	191.62	1	0.0383

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	-0.326	0.34	0.41	0.53	0.66	0.72	1.101	0.1817
♀	-0.307	0.41	0.49	0.64	0.79	0.87	1.079	0.1792
♀	-0.287	0.49	0.58	0.75	0.92	1.01	1.056	0.1767
♀	-0.268	0.57	0.67	0.86	1.06	1.16	1.034	0.1742
♀	-0.249	0.65	0.76	0.98	1.20	1.31	1.011	0.1717
♀	-0.230	0.74	0.87	1.10	1.34	1.47	0.987	0.1690
♀	-0.211	0.84	0.98	1.24	1.50	1.65	0.963	0.1664
♀	-0.192	0.95	1.10	1.39	1.68	1.84	0.937	0.1636
♀	-0.172	1.07	1.24	1.55	1.88	2.05	0.911	0.1607
♀	-0.153	1.21	1.39	1.74	2.09	2.28	0.885	0.1578
♀	-0.134	1.36	1.56	1.93	2.32	2.53	0.857	0.1548
♀	-0.115	1.52	1.73	2.14	2.56	2.79	0.830	0.1517
♀	-0.096	1.69	1.92	2.36	2.81	3.06	0.801	0.1487
♀	-0.077	1.86	2.10	2.57	3.06	3.33	0.773	0.1457
♀	-0.057	2.04	2.29	2.79	3.31	3.60	0.745	0.1428
♀	-0.038	2.21	2.48	3.00	3.55	3.86	0.717	0.1399
♀	-0.019	2.38	2.66	3.21	3.79	4.10	0.689	0.1371
♀	0.000	2.55	2.83	3.40	4.01	4.34	0.662	0.1345
♀	0.083	3.25	3.58	4.23	4.93	5.32	0.548	0.1246
♀	0.167	3.96	4.32	5.05	5.84	6.29	0.444	0.1173
♀	0.250	4.62	5.01	5.80	6.67	7.17	0.351	0.1121
♀	0.333	5.18	5.60	6.45	7.40	7.94	0.270	0.1085
♀	0.417	5.67	6.11	7.01	8.02	8.59	0.200	0.1062
♀	0.500	6.08	6.54	7.49	8.55	9.16	0.140	0.1047
♀	0.583	6.43	6.91	7.90	9.02	9.67	0.089	0.1038
♀	0.667	6.74	7.24	8.27	9.44	10.12	0.045	0.1034
♀	0.750	7.02	7.53	8.60	9.82	10.53	0.007	0.1032
♀	0.833	7.28	7.80	8.91	10.17	10.91	-0.026	0.1032
♀	0.917	7.51	8.05	9.19	10.50	11.27	-0.055	0.1034
♀	1.000	7.73	8.29	9.46	10.81	11.61	-0.081	0.1037
♀	2.000	9.73	10.44	11.97	13.81	14.93	-0.278	0.1092
♀	3.000	11.39	12.26	14.17	16.52	18.00	-0.411	0.1163
♀	4.000	12.87	13.90	16.20	19.13	21.02	-0.516	0.1244
♀	5.000	14.36	15.55	18.30	21.92	24.33	-0.607	0.1334
♀	6.000	15.87	17.25	20.49	24.89	27.92	-0.684	0.1424
♀	7.000	17.55	19.15	22.98	28.38	32.21	-0.749	0.1522
♀	8.000	19.48	21.34	25.89	32.52	37.39	-0.789	0.1628
♀	9.000	21.41	23.56	28.88	36.80	42.74	-0.785	0.1722
♀	10.000	23.55	26.07	32.31	41.66	48.72	-0.725	0.1812
♀	11.000	25.76	28.72	36.03	46.85	54.85	-0.597	0.1896
♀	12.000	28.61	32.04	40.32	51.99	60.18	-0.418	0.1882
♀	13.000	32.68	36.48	45.36	57.19	65.08	-0.281	0.1752
♀	14.000	36.98	40.95	50.05	61.93	69.70	-0.284	0.1612
♀	15.000	40.40	44.35	53.39	65.19	72.93	-0.378	0.1500
♀	16.000	42.57	46.50	55.54	67.42	75.29	-0.472	0.1446
♀	17.000	43.81	47.75	56.84	68.88	76.92	-0.536	0.1425
♀	18.000	44.47	48.41	57.54	69.71	77.87	-0.572	0.1417
♀	19.000	44.81	48.76	57.92	70.15	78.38	-0.591	0.1414
♀	20.000	44.98	48.94	58.10	70.37	78.64	-0.601	0.1412
♀	21.000	45.04	48.99	58.16	70.44	78.72	-0.604	0.1411
♀	22.000	45.09	49.04	58.21	70.50	78.78	-0.607	0.1410
♀	23.000	45.16	49.12	58.30	70.59	78.89	-0.611	0.1409
♂	-0.326	0.38	0.45	0.58	0.71	0.78	1.181	0.1721
♂	-0.307	0.46	0.54	0.70	0.84	0.92	1.161	0.1704
♂	-0.287	0.53	0.63	0.81	0.98	1.07	1.140	0.1686
♂	-0.268	0.61	0.72	0.92	1.12	1.22	1.120	0.1668
♂	-0.249	0.70	0.82	1.04	1.26	1.37	1.099	0.1650
♂	-0.230	0.79	0.92	1.17	1.41	1.54	1.078	0.1631
♂	-0.211	0.89	1.04	1.31	1.58	1.72	1.055	0.1611
♂	-0.192	1.01	1.16	1.46	1.76	1.92	1.032	0.1591
♂	-0.172	1.13	1.31	1.64	1.96	2.14	1.008	0.1570
♂	-0.153	1.27	1.46	1.82	2.18	2.38	0.983	0.1548
♂	-0.134	1.42	1.63	2.03	2.42	2.63	0.957	0.1526
♂	-0.115	1.59	1.81	2.24	2.67	2.91	0.931	0.1504
♂	-0.096	1.76	2.00	2.46	2.93	3.18	0.904	0.1481
♂	-0.077	1.93	2.19	2.69	3.19	3.47	0.877	0.1458
♂	-0.057	2.11	2.38	2.91	3.45	3.75	0.850	0.1435
♂	-0.038	2.29	2.57	3.13	3.71	4.02	0.823	0.1412
♂	-0.019	2.46	2.76	3.34	3.95	4.28	0.796	0.1390
♂	0.000	2.63	2.94	3.55	4.19	4.54	0.770	0.1369
♂	0.083	3.41	3.77	4.49	5.25	5.67	0.657	0.1285
♂	0.167	4.21	4.61	5.43	6.31	6.79	0.553	0.1216
♂	0.250	4.92	5.37	6.26	7.23	7.78	0.461	0.1163
♂	0.333	5.53	6.01	6.97	8.01	8.61	0.380	0.1123
♂	0.417	6.05	6.54	7.55	8.67	9.30	0.311	0.1095
♂	0.500	6.49	7.00	8.05	9.22	9.89	0.252	0.1075
♂	0.583	6.86	7.39	8.49	9.71	10.41	0.202	0.1062
♂	0.667	7.19	7.74	8.87	10.14	10.87	0.160	0.1054
♂	0.750	7.49	8.05	9.22	10.53	11.29	0.124	0.1049
♂	0.833	7.75	8.33	9.54	10.90	11.69	0.092	0.1047
♂	0.917	8.00	8.59	9.83	11.23	12.05	0.065	0.1046
♂	1.000	8.22	8.83	10.10	11.55	12.39	0.040	0.1046
♂	2.000	10.16	10.91	12.51	14.39	15.52	-0.146	0.1080
♂	3.000	11.85	12.74	14.67	17.00	18.43	-0.296	0.1125
♂	4.000	13.31	14.32	16.55	19.31	21.04	-0.426	0.1165
♂	5.000	14.91	16.06	18.63	21.92	24.04	-0.567	0.1211
♂	6.000	16.51	17.80	20.77	24.69	27.31	-0.711	0.1270
♂	7.000	18.16	19.62	23.05	27.80	31.13	-0.861	0.1350
♂	8.000	19.95	21.61	25.63	31.49	35.84	-1.005	0.1452
♂	9.000	21.83	23.71	28.39	35.53	41.10	-1.092	0.1552
♂	10.000	23.82	25.96	31.35	39.78	46.52	-1.097	0.1635
♂	11.000	25.94	28.39	34.58	44.29	52.05	-1.018	0.1706
♂	12.000	28.13	30.98	38.12	49.04	57.50	-0.852	0.1769
♂	13.000	31.11	34.55	42.97	55.22	64.14	-0.599	0.1817
♂	14.000	34.98	39.18	49.15	62.90	72.33	-0.351	0.1843
♂	15.000	39.58	44.31	55.37	70.16	80.02	-0.263	0.1791
♂	16.000	44.73	49.51	60.59	75.31	85.10	-0.352	0.1634
♂	17.000	49.13	53.72	64.33	78.39	87.75	-0.489	0.1470
♂	18.000	52.02	56.49	66.82	80.54	89.73	-0.599	0.1379
♂	19.000	53.80	58.23	68.45	82.08	91.24	-0.671	0.1334
♂	20.000	54.94	59.34	69.52	83.13	92.31	-0.718	0.1309
♂	21.000	55.79	60.18	70.34	83.94	93.14	-0.752	0.1292
♂	22.000	56.46	60.84	70.98	84.58	93.81	-0.779	0.1279
♂	23.000	57.04	61.41	71.54	85.14	94.38	-0.802	0.1268

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	-0.134	7.52	8.09	9.29	10.68	11.52	-0.103	0.1087
♀	-0.115	8.18	8.77	10.02	11.49	12.36	-0.160	0.1053
♀	-0.096	8.76	9.37	10.67	12.19	13.10	-0.211	0.1024
♀	-0.077	9.29	9.91	11.24	12.80	13.73	-0.256	0.0997
♀	-0.057	9.76	10.39	11.74	13.34	14.29	-0.297	0.0973
♀	-0.038	10.18	10.83	12.20	13.82	14.80	-0.335	0.0952
♀	-0.019	10.58	11.24	12.63	14.27	15.26	-0.371	0.0932
♀	0.000	10.96	11.62	13.03	14.69	15.69	-0.406	0.0915
♀	0.083	12.34	13.03	14.49	16.24	17.29	-0.543	0.0858
♀	0.167	13.33	14.03	15.55	17.36	18.46	-0.657	0.0828
♀	0.250	13.98	14.70	16.25	18.11	19.25	-0.751	0.0812
♀	0.333	14.43	15.16	16.73	18.63	19.80	-0.824	0.0802
♀	0.417	14.73	15.46	17.05	18.97	20.16	-0.881	0.0795
♀	0.500	14.92	15.66	17.25	19.18	20.38	-0.924	0.0790
♀	0.583	15.04	15.77	17.36	19.30	20.50	-0.955	0.0785
♀	0.667	15.09	15.82	17.41	19.34	20.55	-0.977	0.0781
♀	0.750	15.10	15.83	17.41	19.34	20.54	-0.993	0.0778
♀	0.833	15.08	15.80	17.37	19.29	20.49	-1.003	0.0776
♀	0.917	15.03	15.75	17.32	19.23	20.42	-1.010	0.0775
♀	1.000	14.97	15.69	17.25	19.15	20.34	-1.014	0.0775
♀	2.000	14.12	14.81	16.34	18.22	19.41	-1.036	0.0805
♀	3.000	13.67	14.36	15.88	17.79	19.00	-1.084	0.0832
♀	4.000	13.39	14.09	15.66	17.65	18.94	-1.151	0.0873
♀	5.000	13.13	13.85	15.48	17.62	19.04	-1.220	0.0933
♀	6.000	12.99	13.74	15.48	17.83	19.44	-1.277	0.1007
♀	7.000	13.00	13.80	15.68	18.28	20.12	-1.320	0.1085
♀	8.000	13.12	13.97	15.99	18.87	20.96	-1.344	0.1157
♀	9.000	13.34	14.24	16.40	19.53	21.85	-1.348	0.1214
♀	10.000	13.66	14.61	16.90	20.25	22.77	-1.339	0.1255
♀	11.000	14.08	15.07	17.48	21.02	23.70	-1.322	0.1279
♀	12.000	14.56	15.60	18.12	21.82	24.62	-1.302	0.1290
♀	13.000	15.08	16.16	18.77	22.61	25.49	-1.281	0.1292
♀	14.000	15.58	16.69	19.39	23.34	26.29	-1.261	0.1288
♀	15.000	16.03	17.18	19.95	23.98	26.97	-1.242	0.1282
♀	16.000	16.43	17.61	20.44	24.53	27.55	-1.225	0.1276
♀	17.000	16.77	17.97	20.85	24.99	28.02	-1.209	0.1269
♀	18.000	17.06	18.28	21.19	25.37	28.42	-1.194	0.1263
♀	19.000	17.30	18.53	21.48	25.69	28.75	-1.179	0.1258
♀	20.000	17.51	18.76	21.73	25.96	29.03	-1.165	0.1253
♀	21.000	17.70	18.96	21.96	26.21	29.27	-1.151	0.1249
♀	22.000	17.88	19.15	22.17	26.44	29.50	-1.137	0.1245
♀	23.000	18.04	19.32	22.36	26.65	29.71	-1.125	0.1241
♂	-0.134	7.63	8.23	9.46	10.84	11.63	0.220	0.1074
♂	-0.115	8.26	8.89	10.17	11.62	12.45	0.132	0.1046
♂	-0.096	8.83	9.47	10.80	12.30	13.18	0.055	0.1020
♂	-0.077	9.36	10.01	11.38	12.93	13.84	-0.014	0.0998
♂	-0.057	9.84	10.51	11.91	13.50	14.44	-0.076	0.0977
♂	-0.038	10.30	10.98	12.40	14.03	14.99	-0.133	0.0958
♂	-0.019	10.72	11.41	12.85	14.52	15.51	-0.186	0.0941
♂	0.000	11.12	11.81	13.28	14.98	15.99	-0.233	0.0926
♂	0.083	12.67	13.40	14.95	16.76	17.85	-0.398	0.0872
♂	0.167	13.79	14.54	16.14	18.02	19.15	-0.512	0.0836
♂	0.250	14.46	15.22	16.84	18.76	19.91	-0.589	0.0813
♂	0.333	14.87	15.63	17.26	19.18	20.35	-0.641	0.0799
♂	0.417	15.11	15.88	17.51	19.44	20.62	-0.676	0.0790
♂	0.500	15.27	16.03	17.67	19.60	20.78	-0.698	0.0784
♂	0.583	15.36	16.12	17.76	19.70	20.88	-0.711	0.0780
♂	0.667	15.40	16.17	17.80	19.74	20.91	-0.718	0.0777
♂	0.750	15.41	16.17	17.80	19.73	20.90	-0.720	0.0775
♂	0.833	15.38	16.14	17.76	19.69	20.86	-0.720	0.0774
♂	0.917	15.34	16.09	17.71	19.63	20.79	-0.718	0.0773
♂	1.000	15.28	16.03	17.64	19.55	20.72	-0.717	0.0774
♂	2.000	14.40	15.11	16.66	18.51	19.64	-0.814	0.0788
♂	3.000	14.01	14.68	16.13	17.92	19.05	-1.060	0.0777
♂	4.000	13.73	14.36	15.75	17.50	18.62	-1.291	0.0768
♂	5.000	13.53	14.15	15.55	17.34	18.52	-1.481	0.0786
♂	6.000	13.41	14.05	15.50	17.43	18.74	-1.634	0.0833
♂	7.000	13.34	14.01	15.56	17.71	19.23	-1.745	0.0902
♂	8.000	13.37	14.07	15.75	18.15	19.91	-1.818	0.0975
♂	9.000	13.49	14.24	16.04	18.69	20.71	-1.854	0.1039
♂	10.000	13.72	14.51	16.42	19.30	21.55	-1.857	0.1089
♂	11.000	14.04	14.86	16.89	19.97	22.41	-1.837	0.1125
♂	12.000	14.43	15.30	17.43	20.68	23.27	-1.799	0.1149
♂	13.000	14.89	15.80	18.04	21.44	24.13	-1.750	0.1163
♂	14.000	15.39	16.34	18.67	22.20	24.97	-1.697	0.1170
♂	15.000	15.90	16.89	19.32	22.96	25.78	-1.643	0.1172
♂	16.000	16.39	17.43	19.94	23.67	26.53	-1.590	0.1171
♂	17.000	16.86	17.93	20.52	24.32	27.21	-1.538	0.1168
♂	18.000	17.30	18.40	21.05	24.92	27.82	-1.488	0.1164
♂	19.000	17.70	18.83	21.54	25.46	28.36	-1.439	0.1159
♂	20.000	18.06	19.22	21.99	25.95	28.86	-1.392	0.1155
♂	21.000	18.40	19.58	22.40	26.40	29.31	-1.347	0.1151
♂	22.000	18.71	19.92	22.79	26.83	29.73	-1.304	0.1147
♂	23.000	19.01	20.24	23.15	27.23	30.13	-1.263	0.1143

LEGLENGTH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.000	14.93	15.53	16.66	17.79	18.38	1	0.0528
♀	0.083	15.94	16.58	17.79	18.99	19.63	1	0.0528
♀	0.167	16.94	17.62	18.90	20.18	20.86	1	0.0528
♀	0.250	17.93	18.64	20.00	21.35	22.07	1	0.0528
♀	0.333	18.87	19.63	21.05	22.48	23.23	1	0.0528
♀	0.417	19.78	20.57	22.07	23.56	24.35	1	0.0528
♀	0.500	20.64	21.47	23.03	24.59	25.41	1	0.0528
♀	0.583	21.45	22.31	23.93	25.55	26.40	1	0.0528
♀	0.667	22.21	23.10	24.77	26.45	27.34	1	0.0528
♀	0.750	22.93	23.84	25.58	27.31	28.22	1	0.0528
♀	0.833	23.61	24.55	26.33	28.12	29.06	1	0.0528
♀	0.917	24.25	25.22	27.06	28.89	29.86	1	0.0528
♀	1.000	24.87	25.87	27.75	29.63	30.62	1	0.0528
♀	2.000	31.21	32.46	34.82	37.17	38.42	1	0.0528
♀	3.000	35.90	37.33	40.04	42.76	44.19	1	0.0528
♀	4.000	39.52	41.10	44.09	47.07	48.65	1	0.0528
♀	5.000	43.14	44.87	48.13	51.39	53.11	1	0.0528
♀	6.000	46.63	48.50	52.02	55.54	57.41	1	0.0528
♀	7.000	49.90	51.90	55.67	59.44	61.43	1	0.0528
♀	8.000	52.95	55.07	59.06	63.06	65.18	1	0.0528
♀	9.000	55.93	58.16	62.39	66.61	68.85	1	0.0528
♀	10.000	58.93	61.29	65.74	70.19	72.55	1	0.0528
♀	11.000	61.98	64.46	69.14	73.83	76.30	1	0.0528
♀	12.000	64.71	67.30	72.19	77.07	79.66	1	0.0528
♀	13.000	66.63	69.30	74.33	79.37	82.03	1	0.0528
♀	14.000	67.78	70.49	75.61	80.73	83.44	1	0.0528
♀	15.000	68.46	71.19	76.36	81.54	84.27	1	0.0528
♀	16.000	68.85	71.60	76.81	82.01	84.76	1	0.0528
♀	17.000	69.00	71.76	76.97	82.18	84.94	1	0.0528
♀	18.000	69.03	71.79	77.00	82.22	84.98	1	0.0528
♀	19.000	69.12	71.88	77.10	82.33	85.09	1	0.0528
♀	20.000	69.17	71.94	77.16	82.39	85.15	1	0.0528
♀	21.000	69.21	71.98	77.21	82.43	85.20	1	0.0528
♀	22.000	69.41	72.19	77.43	82.68	85.45	1	0.0528
♀	23.000	69.75	72.54	77.81	83.08	85.87	1	0.0528
♂	0.000	15.26	15.89	17.10	18.31	18.94	1	0.0550
♂	0.083	16.20	16.87	18.15	19.43	20.11	1	0.0550
♂	0.167	17.13	17.85	19.20	20.56	21.27	1	0.0550
♂	0.250	18.05	18.81	20.24	21.66	22.42	1	0.0550
♂	0.333	18.96	19.76	21.26	22.76	23.55	1	0.0550
♂	0.417	19.86	20.69	22.26	23.83	24.66	1	0.0550
♂	0.500	20.73	21.60	23.23	24.87	25.74	1	0.0550
♂	0.583	21.57	22.47	24.18	25.88	26.79	1	0.0550
♂	0.667	22.38	23.31	25.08	26.85	27.79	1	0.0550
♂	0.750	23.14	24.11	25.94	27.77	28.74	1	0.0550
♂	0.833	23.88	24.88	26.76	28.65	29.65	1	0.0550
♂	0.917	24.56	25.59	27.53	29.48	30.50	1	0.0550
♂	1.000	25.21	26.27	28.26	30.26	31.31	1	0.0550
♂	2.000	31.08	32.38	34.84	37.30	38.60	1	0.0550
♂	3.000	35.60	37.09	39.90	42.72	44.21	1	0.0550
♂	4.000	39.45	41.10	44.22	47.33	48.99	1	0.0550
♂	5.000	43.09	44.89	48.30	51.70	53.50	1	0.0550
♂	6.000	46.73	48.69	52.38	56.07	58.03	1	0.0550
♂	7.000	50.27	52.37	56.35	60.32	62.43	1	0.0550
♂	8.000	53.67	55.92	60.16	64.40	66.65	1	0.0550
♂	9.000	56.52	58.89	63.36	67.83	70.20	1	0.0550
♂	10.000	58.94	61.40	66.06	70.72	73.19	1	0.0550
♂	11.000	61.23	63.79	68.64	73.48	76.04	1	0.0550
♂	12.000	63.78	66.45	71.49	76.53	79.20	1	0.0550
♂	13.000	66.86	69.65	74.94	80.23	83.03	1	0.0550
♂	14.000	70.12	73.06	78.60	84.15	87.08	1	0.0550
♂	15.000	72.65	75.69	81.44	87.18	90.22	1	0.0550
♂	16.000	74.21	77.31	83.18	89.05	92.16	1	0.0550
♂	17.000	75.05	78.19	84.13	90.06	93.20	1	0.0550
♂	18.000	75.40	78.56	84.52	90.48	93.64	1	0.0550
♂	19.000	75.47	78.63	84.60	90.56	93.72	1	0.0550
♂	20.000	75.54	78.70	84.67	90.65	93.81	1	0.0550
♂	21.000	75.66	78.83	84.81	90.79	93.96	1	0.0550
♂	22.000	75.79	78.97	84.96	90.95	94.12	1	0.0550
♂	23.000	75.93	79.11	85.11	91.11	94.29	1	0.0550

SITH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.000	31.70	32.73	34.68	36.62	37.65	1	0.0438
♀	0.083	33.13	34.20	36.24	38.27	39.35	1	0.0438
♀	0.167	34.52	35.64	37.76	39.88	41.00	1	0.0438
♀	0.250	35.85	37.01	39.22	41.42	42.58	1	0.0438
♀	0.333	37.09	38.29	40.57	42.85	44.05	1	0.0438
♀	0.417	38.24	39.48	41.83	44.18	45.42	1	0.0438
♀	0.500	39.28	40.56	42.97	45.38	46.66	1	0.0438
♀	0.583	40.22	41.52	43.99	46.46	47.77	1	0.0438
♀	0.667	41.05	42.39	44.91	47.43	48.76	1	0.0438
♀	0.750	41.80	43.16	45.73	48.29	49.65	1	0.0438
♀	0.833	42.47	43.85	46.46	49.07	50.45	1	0.0438
♀	0.917	43.08	44.48	47.12	49.77	51.17	1	0.0438
♀	1.000	43.63	45.05	47.73	50.40	51.82	1	0.0438
♀	2.000	47.96	49.52	52.46	55.41	56.97	1	0.0438
♀	3.000	50.93	52.59	55.72	58.84	60.50	1	0.0438
♀	4.000	53.23	54.96	58.23	61.50	63.23	1	0.0438
♀	5.000	55.03	56.82	60.20	63.58	65.37	1	0.0438
♀	6.000	57.09	58.95	62.45	65.96	67.81	1	0.0438
♀	7.000	59.56	61.49	65.15	68.80	70.74	1	0.0438
♀	8.000	62.11	64.13	67.95	71.76	73.78	1	0.0438
♀	9.000	64.52	66.62	70.58	74.54	76.64	1	0.0438
♀	10.000	66.90	69.08	73.18	77.29	79.47	1	0.0438
♀	11.000	69.70	71.96	76.24	80.52	82.79	1	0.0438
♀	12.000	72.87	75.24	79.71	84.19	86.55	1	0.0438
♀	13.000	75.51	77.97	82.60	87.24	89.69	1	0.0438
♀	14.000	77.27	79.78	84.52	89.27	91.78	1	0.0438
♀	15.000	78.44	80.99	85.81	90.62	93.17	1	0.0438
♀	16.000	79.29	81.87	86.73	91.60	94.18	1	0.0438
♀	17.000	79.89	82.48	87.39	92.29	94.89	1	0.0438
♀	18.000	80.21	82.82	87.74	92.67	95.27	1	0.0438
♀	19.000	80.38	82.99	87.93	92.87	95.48	1	0.0438
♀	20.000	80.61	83.23	88.18	93.13	95.75	1	0.0438
♀	21.000	80.90	83.53	88.50	93.46	96.09	1	0.0438
♀	22.000	81.33	83.97	88.97	93.96	96.60	1	0.0438
♀	23.000	81.88	84.54	89.57	94.60	97.26	1	0.0438
♂	0.000	31.14	32.26	34.38	36.50	37.62	1	0.0481
♂	0.083	32.62	33.80	36.02	38.24	39.42	1	0.0481
♂	0.167	34.08	35.31	37.63	39.95	41.18	1	0.0481
♂	0.250	35.49	36.77	39.19	41.61	42.89	1	0.0481
♂	0.333	36.83	38.15	40.66	43.17	44.50	1	0.0481
♂	0.417	38.07	39.44	42.03	44.62	46.00	1	0.0481
♂	0.500	39.21	40.62	43.29	45.96	47.37	1	0.0481
♂	0.583	40.24	41.69	44.43	47.17	48.62	1	0.0481
♂	0.667	41.17	42.66	45.46	48.26	49.75	1	0.0481
♂	0.750	42.00	43.52	46.38	49.24	50.75	1	0.0481
♂	0.833	42.77	44.31	47.22	50.13	51.67	1	0.0481
♂	0.917	43.44	45.00	47.96	50.92	52.48	1	0.0481
♂	1.000	44.05	45.64	48.64	51.64	53.23	1	0.0481
♂	2.000	48.46	50.21	53.51	56.81	58.56	1	0.0481
♂	3.000	51.16	53.01	56.49	59.97	61.82	1	0.0481
♂	4.000	53.30	55.22	58.85	62.48	64.40	1	0.0481
♂	5.000	55.15	57.14	60.90	64.65	66.64	1	0.0481
♂	6.000	57.25	59.31	63.21	67.11	69.17	1	0.0481
♂	7.000	59.69	61.84	65.91	69.97	72.12	1	0.0481
♂	8.000	62.28	64.53	68.77	73.01	75.25	1	0.0481
♂	9.000	64.61	66.94	71.33	75.73	78.06	1	0.0481
♂	10.000	66.67	69.08	73.62	78.16	80.56	1	0.0481
♂	11.000	68.45	70.92	75.58	80.24	82.70	1	0.0481
♂	12.000	70.10	72.63	77.40	82.18	84.70	1	0.0481
♂	13.000	72.25	74.85	79.77	84.69	87.29	1	0.0481
♂	14.000	75.69	78.42	83.57	88.72	91.45	1	0.0481
♂	15.000	79.30	82.16	87.56	92.96	95.81	1	0.0481
♂	16.000	81.94	84.90	90.47	96.05	99.01	1	0.0481
♂	17.000	83.68	86.70	92.40	98.10	101.11	1	0.0481
♂	18.000	84.67	87.73	93.49	99.26	102.31	1	0.0481
♂	19.000	85.21	88.28	94.08	99.88	102.95	1	0.0481
♂	20.000	85.50	88.58	94.41	100.23	103.31	1	0.0481
♂	21.000	85.68	88.77	94.60	100.43	103.52	1	0.0481
♂	22.000	85.81	88.90	94.75	100.59	103.68	1	0.0481
♂	23.000	85.94	89.03	94.88	100.74	103.83	1	0.0481

WAIST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	3	43.98	45.62	49.20	53.60	56.37	-1.5700	0.0625
♀	4	44.52	46.21	49.95	54.65	57.67	-1.7187	0.0649
♀	5	45.07	46.82	50.72	55.72	59.01	-1.8680	0.0673
♀	6	45.73	47.53	51.60	56.97	60.59	-2.0319	0.0699
♀	7	46.61	48.48	52.77	58.59	62.64	-2.2138	0.0728
♀	8	47.63	49.57	54.10	60.41	64.95	-2.3613	0.0758
♀	9	48.60	50.61	55.36	62.10	67.06	-2.4288	0.0782
♀	10	49.62	51.71	56.67	63.76	69.03	-2.4261	0.0800
♀	11	50.94	53.11	58.24	65.56	70.97	-2.3686	0.0805
♀	12	52.61	54.85	60.11	67.48	72.83	-2.2692	0.0794
♀	13	54.28	56.58	61.91	69.23	74.41	-2.1508	0.0775
♀	14	55.66	57.99	63.36	70.60	75.62	-2.0432	0.0758
♀	15	56.65	59.01	64.42	71.61	76.52	-1.9540	0.0746
♀	16	57.42	59.82	65.27	72.46	77.31	-1.8753	0.0740
♀	17	58.13	60.57	66.08	73.27	78.08	-1.7957	0.0735
♂	3	45.37	46.96	50.34	54.35	56.78	-1.3055	0.0568
♂	4	45.78	47.43	50.99	55.27	57.91	-1.4140	0.0594
♂	5	46.20	47.92	51.66	56.24	59.11	-1.5275	0.0622
♂	6	46.68	48.47	52.41	57.34	60.50	-1.6571	0.0652
♂	7	47.31	49.19	53.37	58.75	62.30	-1.8244	0.0687
♂	8	48.16	50.12	54.59	60.55	64.63	-2.0353	0.0729
♂	9	49.23	51.28	56.08	62.73	67.51	-2.2651	0.0773
♂	10	50.51	52.66	57.79	65.21	70.79	-2.4542	0.0815
♂	11	51.95	54.22	59.71	67.85	74.20	-2.5431	0.0852
♂	12	53.54	55.95	61.80	70.57	77.50	-2.5143	0.0881
♂	13	55.28	57.84	64.06	73.32	80.56	-2.3795	0.0901
♂	14	57.03	59.79	66.39	75.99	83.24	-2.1292	0.0916
♂	15	58.76	61.73	68.73	78.56	85.68	-1.8286	0.0925
♂	16	60.48	63.66	71.04	81.09	88.10	-1.5557	0.0933
♂	17	62.17	65.57	73.33	83.60	90.54	-1.3079	0.0940

BODYFAT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	13.89	15.08	18.04	22.54	26.03	-1.0870	0.1544
♀	6	14.44	15.78	19.11	24.19	28.12	-0.9669	0.1645
♀	7	14.96	16.45	20.18	25.84	30.18	-0.8468	0.1740
♀	8	15.42	17.07	21.19	27.37	32.05	-0.7267	0.1824
♀	9	15.80	17.61	22.08	28.71	33.61	-0.6066	0.1892
♀	10	16.07	18.01	22.78	29.71	34.71	-0.4865	0.1943
♀	11	16.19	18.25	23.24	30.31	35.28	-0.3663	0.1974
♀	12	16.22	18.38	23.55	30.66	35.51	-0.2462	0.1993
♀	13	16.18	18.45	23.78	30.91	35.64	-0.1261	0.2013
♀	14	16.08	18.47	23.98	31.16	35.80	-0.0060	0.2042
♀	15	15.89	18.40	24.14	31.41	36.00	0.1141	0.2085
♀	16	15.60	18.28	24.28	31.68	36.25	0.2342	0.2144
♀	17	15.26	18.12	24.43	32.00	36.56	0.3544	0.2211
♀	18	14.90	17.98	24.63	32.39	36.95	0.4745	0.2282
♀	19	14.52	17.85	24.88	32.83	37.39	0.5946	0.2352
♂	5	12.24	13.16	15.55	19.62	23.34	-1.6807	0.1502
♂	6	12.42	13.41	16.02	20.60	24.95	-1.6336	0.1610
♂	7	12.62	13.68	16.53	21.68	26.74	-1.5814	0.1720
♂	8	12.78	13.93	17.03	22.77	28.60	-1.5205	0.1833
♂	9	12.88	14.11	17.46	23.79	30.37	-1.4463	0.1947
♂	10	12.88	14.18	17.76	24.60	31.76	-1.3539	0.2056
♂	11	12.63	13.99	17.74	24.87	32.23	-1.2410	0.2153
♂	12	12.14	13.54	17.36	24.53	31.67	-1.1095	0.2239
♂	13	11.53	12.94	16.79	23.79	30.45	-0.9685	0.2309
♂	14	10.95	12.37	16.21	22.95	29.03	-0.8238	0.2361
♂	15	10.49	11.93	15.78	22.26	27.77	-0.6768	0.2397
♂	16	10.16	11.65	15.53	21.80	26.81	-0.5241	0.2423
♂	17	9.92	11.47	15.44	21.54	26.14	-0.3580	0.2447
♂	18	9.70	11.34	15.44	21.40	25.64	-0.1761	0.2474
♂	19	9.43	11.19	15.44	21.27	25.17	0.0208	0.2505

ukwho.ref

Citations

• Wright, Charlotte M., et a,Practice pointer: Using the new UK-WHO growth charts. British Medical Journal 340.c1140 (2010): 647-650. Preterm British 1990, 0-4 WHO2006, 4-18 British1990

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0383299	11.25	12.04	13.64	15.35	16.30	0.4177	0.0945
♂	0.0574949	11.80	12.61	14.22	15.97	16.95	0.3449	0.0923
♂	0.0766598	12.31	13.12	14.77	16.56	17.57	0.2881	0.0907
♂	0.0833333	12.47	13.29	14.94	16.75	17.76	0.2708	0.0903
♂	0.0958248	12.73	13.56	15.24	17.06	18.09	0.2409	0.0895
♂	0.1149897	13.08	13.92	15.61	17.47	18.52	0.2003	0.0886
♂	0.1341547	13.37	14.21	15.92	17.79	18.86	0.1645	0.0878
♂	0.1533196	13.60	14.45	16.17	18.07	19.15	0.1324	0.0872
♂	0.1666667	13.74	14.59	16.32	18.23	19.31	0.1118	0.0868
♂	0.1724846	13.80	14.65	16.38	18.29	19.38	0.1032	0.0866
♂	0.1916496	13.96	14.81	16.55	18.47	19.57	0.0766	0.0861
♂	0.2108145	14.10	14.95	16.69	18.62	19.73	0.0520	0.0857
♂	0.2299795	14.21	15.06	16.80	18.74	19.85	0.0291	0.0853
♂	0.2491444	14.30	15.15	16.90	18.84	19.95	0.0077	0.0850
♂	0.2500000	14.31	15.15	16.90	18.84	19.96	0.0068	0.0849
♂	0.3333333	14.57	15.42	17.16	19.11	20.24	-0.0727	0.0838
♂	0.4166667	14.72	15.56	17.29	19.25	20.38	-0.1370	0.0830
♂	0.5000000	14.79	15.62	17.34	19.29	20.43	-0.1913	0.0823
♂	0.5833333	14.81	15.62	17.33	19.27	20.41	-0.2385	0.0818
♂	0.6666667	14.77	15.58	17.26	19.19	20.33	-0.2802	0.0814
♂	0.7500000	14.70	15.50	17.17	19.08	20.20	-0.3176	0.0810
♂	0.8333333	14.62	15.40	17.05	18.94	20.06	-0.3516	0.0807
♂	0.9166667	14.52	15.30	16.92	18.80	19.91	-0.3828	0.0804
♂	1.0000000	14.43	15.19	16.80	18.66	19.76	-0.4115	0.0801
♂	2.0000000	13.61	14.29	15.74	17.44	18.47	-0.6473	0.0777
♂	2.0000000	13.85	14.54	16.02	17.76	18.80	-0.6187	0.0779
♂	3.0000000	13.40	14.11	15.60	17.30	18.29	-0.3101	0.0793
♂	4.0000000	13.11	13.82	15.33	17.08	18.11	-0.3622	0.0824
♂	4.0000000	13.73	14.36	15.75	17.50	18.62	-1.2910	0.0768
♂	5.0000000	13.53	14.15	15.55	17.34	18.52	-1.4810	0.0786
♂	6.0000000	13.41	14.05	15.50	17.43	18.74	-1.6340	0.0833
♂	7.0000000	13.34	14.01	15.56	17.71	19.23	-1.7450	0.0902
♂	8.0000000	13.37	14.07	15.75	18.15	19.91	-1.8180	0.0975
♂	9.0000000	13.49	14.24	16.04	18.69	20.71	-1.8540	0.1039
♂	10.0000000	13.72	14.51	16.42	19.30	21.55	-1.8570	0.1089
♂	11.0000000	14.04	14.86	16.89	19.97	22.41	-1.8370	0.1125
♂	12.0000000	14.43	15.30	17.43	20.68	23.27	-1.7990	0.1149
♂	13.0000000	14.89	15.80	18.04	21.44	24.13	-1.7500	0.1163
♂	14.0000000	15.39	16.34	18.67	22.20	24.97	-1.6970	0.1170
♂	15.0000000	15.90	16.89	19.32	22.96	25.78	-1.6430	0.1172
♂	16.0000000	16.39	17.43	19.94	23.67	26.53	-1.5900	0.1171
♂	17.0000000	16.86	17.93	20.52	24.32	27.21	-1.5380	0.1168
♂	18.0000000	17.30	18.40	21.05	24.92	27.82	-1.4880	0.1164
♂	19.0000000	17.70	18.83	21.54	25.46	28.36	-1.4390	0.1159
♂	20.0000000	18.06	19.22	21.99	25.95	28.86	-1.3920	0.1155
♀	0.0383299	11.00	11.82	13.45	15.18	16.14	0.5082	0.0974
♀	0.0574949	11.45	12.29	13.95	15.74	16.73	0.4263	0.0965
♀	0.0766598	11.87	12.72	14.42	16.26	17.29	0.3637	0.0958
♀	0.0833333	12.00	12.85	14.57	16.42	17.47	0.3448	0.0956
♀	0.0958248	12.22	13.08	14.82	16.70	17.76	0.3124	0.0952
♀	0.1149897	12.51	13.38	15.14	17.06	18.14	0.2688	0.0947
♀	0.1341547	12.75	13.63	15.41	17.36	18.46	0.2306	0.0943
♀	0.1533196	12.96	13.84	15.63	17.61	18.73	0.1966	0.0939
♀	0.1666667	13.08	13.97	15.77	17.76	18.89	0.1749	0.0937
♀	0.1724846	13.13	14.02	15.82	17.82	18.96	0.1658	0.0936
♀	0.1916496	13.28	14.17	15.99	18.00	19.15	0.1377	0.0933
♀	0.2108145	13.41	14.30	16.13	18.16	19.32	0.1118	0.0930
♀	0.2299795	13.53	14.42	16.25	18.29	19.46	0.0877	0.0928
♀	0.2491444	13.63	14.52	16.35	18.40	19.58	0.0652	0.0925
♀	0.2500000	13.63	14.52	16.36	18.41	19.59	0.0643	0.0925
♀	0.3333333	13.93	14.82	16.67	18.75	19.96	-0.0191	0.0917
♀	0.4166667	14.11	14.99	16.84	18.93	20.15	-0.0864	0.0910
♀	0.5000000	14.20	15.07	16.91	19.00	20.23	-0.1429	0.0904
♀	0.5833333	14.21	15.08	16.90	18.99	20.22	-0.1916	0.0898
♀	0.6666667	14.18	15.04	16.84	18.91	20.14	-0.2344	0.0894
♀	0.7500000	14.12	14.96	16.74	18.80	20.02	-0.2725	0.0890
♀	0.8333333	14.03	14.86	16.62	18.65	19.87	-0.3068	0.0886
♀	0.9166667	13.94	14.75	16.49	18.50	19.71	-0.3381	0.0883
♀	1.0000000	13.84	14.65	16.36	18.35	19.55	-0.3667	0.0880
♀	2.0000000	13.13	13.85	15.41	17.25	18.38	-0.5989	0.0854
♀	2.0000000	13.39	14.12	15.69	17.54	18.67	-0.5684	0.0845
♀	3.0000000	13.12	13.85	15.40	17.24	18.36	-0.5684	0.0853
♀	4.0000000	12.86	13.62	15.26	17.23	18.44	-0.5684	0.0917
♀	4.0000000	13.39	14.09	15.66	17.65	18.94	-1.1510	0.0873
♀	5.0000000	13.13	13.85	15.48	17.62	19.04	-1.2200	0.0933
♀	6.0000000	12.99	13.74	15.48	17.83	19.44	-1.2770	0.1007
♀	7.0000000	13.00	13.80	15.68	18.28	20.12	-1.3200	0.1085
♀	8.0000000	13.12	13.97	15.99	18.87	20.96	-1.3440	0.1157
♀	9.0000000	13.34	14.24	16.40	19.53	21.85	-1.3480	0.1214
♀	10.0000000	13.66	14.61	16.90	20.25	22.77	-1.3390	0.1255
♀	11.0000000	14.08	15.07	17.48	21.02	23.70	-1.3220	0.1279
♀	12.0000000	14.56	15.60	18.12	21.82	24.62	-1.3020	0.1290
♀	13.0000000	15.08	16.16	18.77	22.61	25.49	-1.2810	0.1292
♀	14.0000000	15.58	16.69	19.39	23.34	26.29	-1.2610	0.1288
♀	15.0000000	16.03	17.18	19.95	23.98	26.97	-1.2420	0.1282
♀	16.0000000	16.43	17.61	20.44	24.53	27.55	-1.2250	0.1276
♀	17.0000000	16.77	17.97	20.85	24.99	28.02	-1.2090	0.1269
♀	18.0000000	17.06	18.28	21.19	25.37	28.42	-1.1940	0.1263
♀	19.0000000	17.30	18.53	21.48	25.69	28.75	-1.1790	0.1258
♀	20.0000000	17.51	18.76	21.73	25.96	29.03	-1.1650	0.1253

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	-0.2874743	29.78	31.73	35.42	39.12	41.07	1	0.0813
♂	-0.2683094	30.81	32.75	36.42	40.09	42.04	1	0.0786
♂	-0.2491444	31.86	33.79	37.43	41.07	43.00	1	0.0759
♂	-0.2299795	32.92	34.83	38.43	42.03	43.94	1	0.0731
♂	-0.2108145	34.01	35.89	39.44	42.99	44.87	1	0.0703
♂	-0.1916496	35.15	36.99	40.48	43.97	45.81	1	0.0672
♂	-0.1724846	36.36	38.17	41.58	44.99	46.80	1	0.0640
♂	-0.1533196	37.63	39.39	42.72	46.05	47.81	1	0.0608
♂	-0.1341547	38.92	40.63	43.87	47.11	48.82	1	0.0576
♂	-0.1149897	40.21	41.87	45.02	48.16	49.83	1	0.0545
♂	-0.0958248	41.48	43.09	46.14	49.19	50.81	1	0.0516
♂	-0.0766598	42.70	44.27	47.23	50.20	51.77	1	0.0490
♂	-0.0574949	43.87	45.40	48.29	51.17	52.70	1	0.0466
♂	-0.0383299	44.96	46.45	49.28	52.10	53.59	1	0.0447
♂	-0.0191650	45.92	47.39	50.17	52.94	54.41	1	0.0432
♂	0.0000000	46.75	48.20	50.94	53.69	55.14	1	0.0420
♂	0.0191650	47.50	48.93	51.65	54.36	55.80	1	0.0410
♂	0.0383299	48.21	49.63	52.31	54.98	56.40	1	0.0399
♂	0.0383299	48.60	49.90	52.35	54.80	56.09	1	0.0365
♂	0.0574949	49.61	50.92	53.39	55.86	57.17	1	0.0361
♂	0.0766598	50.58	51.90	54.39	56.88	58.19	1	0.0357
♂	0.0833333	50.91	52.23	54.72	57.22	58.54	1	0.0356
♂	0.0958248	51.50	52.83	55.34	57.84	59.17	1	0.0353
♂	0.1149897	52.38	53.71	56.24	58.76	60.09	1	0.0350
♂	0.1341547	53.20	54.55	57.09	59.62	60.97	1	0.0347
♂	0.1533196	53.98	55.34	57.89	60.44	61.79	1	0.0344
♂	0.1666667	54.50	55.86	58.42	60.99	62.35	1	0.0342
♂	0.1724846	54.73	56.09	58.65	61.22	62.58	1	0.0342
♂	0.1916496	55.44	56.81	59.39	61.97	63.34	1	0.0339
♂	0.2108145	56.12	57.50	60.09	62.68	64.06	1	0.0337
♂	0.2299795	56.77	58.15	60.76	63.37	64.75	1	0.0335
♂	0.2491444	57.40	58.78	61.40	64.02	65.41	1	0.0333
♂	0.2500000	57.42	58.81	61.43	64.05	65.44	1	0.0333
♂	0.3333333	59.81	61.22	63.89	66.55	67.96	1	0.0326
♂	0.4166667	61.76	63.20	65.90	68.61	70.04	1	0.0320
♂	0.5000000	63.43	64.88	67.62	70.37	71.82	1	0.0316
♂	0.5833333	64.91	66.38	69.16	71.95	73.42	1	0.0314
♂	0.6666667	66.28	67.77	70.60	73.43	74.92	1	0.0312
♂	0.7500000	67.57	69.09	71.97	74.84	76.37	1	0.0312
♂	0.8333333	68.80	70.35	73.28	76.21	77.76	1	0.0312
♂	0.9166667	69.97	71.55	74.54	77.52	79.10	1	0.0312
♂	1.0000000	71.09	72.70	75.75	78.79	80.41	1	0.0314
♂	2.0000000	81.83	83.90	87.82	91.73	93.80	1	0.0348
♂	2.0000000	81.13	83.20	87.12	91.03	93.10	1	0.0351
♂	3.0000000	88.82	91.33	96.08	100.83	103.35	1	0.0386
♂	4.0000000	95.11	97.95	103.33	108.70	111.55	1	0.0406
♂	4.0000000	94.44	97.23	102.49	107.75	110.54	1	0.0401
♂	5.0000000	100.72	103.79	109.59	115.39	118.46	1	0.0413
♂	6.0000000	106.41	109.70	115.93	122.16	125.45	1	0.0419
♂	7.0000000	111.79	115.29	121.90	128.51	132.01	1	0.0423
♂	8.0000000	117.12	120.83	127.85	134.87	138.58	1	0.0428
♂	9.0000000	121.91	125.85	133.28	140.71	144.65	1	0.0435
♂	10.0000000	126.27	130.47	138.39	146.31	150.51	1	0.0447
♂	11.0000000	130.34	134.85	143.37	151.89	156.40	1	0.0464
♂	12.0000000	134.26	139.14	148.36	157.58	162.46	1	0.0485
♂	13.0000000	139.40	144.72	154.77	164.82	170.14	1	0.0507
♂	14.0000000	146.10	151.73	162.36	172.99	178.62	1	0.0511
♂	15.0000000	153.01	158.52	168.94	179.36	184.87	1	0.0481
♂	16.0000000	158.47	163.64	173.39	183.14	188.31	1	0.0439
♂	17.0000000	161.80	166.69	175.92	185.15	190.04	1	0.0410
♂	18.0000000	163.35	168.11	177.09	186.07	190.83	1	0.0396
♂	19.0000000	163.61	168.34	177.28	186.22	190.95	1	0.0394
♂	20.0000000	163.68	168.41	177.34	186.27	191.00	1	0.0393
♀	-0.2874743	29.11	31.01	34.60	38.18	40.08	1	0.0809
♀	-0.2683094	30.20	32.07	35.60	39.13	40.99	1	0.0774
♀	-0.2491444	31.31	33.14	36.61	40.07	41.91	1	0.0739
♀	-0.2299795	32.46	34.26	37.66	41.06	42.86	1	0.0704
♀	-0.2108145	33.68	35.44	38.77	42.10	43.86	1	0.0670
♀	-0.1916496	34.96	36.68	39.94	43.20	44.92	1	0.0636
♀	-0.1724846	36.28	37.96	41.14	44.32	46.00	1	0.0603
♀	-0.1533196	37.62	39.26	42.35	45.44	47.07	1	0.0569
♀	-0.1341547	38.95	40.54	43.54	46.54	48.12	1	0.0537
♀	-0.1149897	40.26	41.79	44.69	47.59	49.13	1	0.0506
♀	-0.0958248	41.51	42.99	45.79	48.59	50.08	1	0.0477
♀	-0.0766598	42.68	44.11	46.81	49.51	50.94	1	0.0450
♀	-0.0574949	43.76	45.14	47.74	50.34	51.72	1	0.0425
♀	-0.0383299	44.74	46.07	48.58	51.08	52.41	1	0.0403
♀	-0.0191650	45.63	46.91	49.34	51.77	53.05	1	0.0384
♀	0.0000000	46.39	47.65	50.02	52.39	53.64	1	0.0370
♀	0.0191650	47.04	48.28	50.63	52.97	54.21	1	0.0361
♀	0.0383299	47.62	48.86	51.21	53.55	54.79	1	0.0357
♀	0.0383299	47.78	49.07	51.51	53.95	55.24	1	0.0369
♀	0.0574949	48.70	50.00	52.47	54.94	56.24	1	0.0367
♀	0.0766598	49.57	50.89	53.38	55.88	57.20	1	0.0365
♀	0.0833333	49.86	51.18	53.69	56.19	57.52	1	0.0364
♀	0.0958248	50.39	51.72	54.25	56.77	58.10	1	0.0363
♀	0.1149897	51.17	52.52	55.06	57.61	58.96	1	0.0361
♀	0.1341547	51.91	53.27	55.84	58.41	59.77	1	0.0359
♀	0.1533196	52.61	53.98	56.58	59.17	60.54	1	0.0358
♀	0.1666667	53.08	54.46	57.07	59.68	61.06	1	0.0357
♀	0.1724846	53.28	54.66	57.28	59.89	61.28	1	0.0356
♀	0.1916496	53.91	55.31	57.94	60.58	61.98	1	0.0355
♀	0.2108145	54.52	55.92	58.58	61.24	62.65	1	0.0354
♀	0.2299795	55.10	56.51	59.19	61.87	63.29	1	0.0353
♀	0.2491444	55.65	57.08	59.78	62.47	63.90	1	0.0352
♀	0.2500000	55.68	57.11	59.80	62.50	63.93	1	0.0352
♀	0.3333333	57.85	59.32	62.09	64.86	66.33	1	0.0349
♀	0.4166667	59.68	61.19	64.03	66.87	68.38	1	0.0346
♀	0.5000000	61.29	62.83	65.73	68.64	70.17	1	0.0345
♀	0.5833333	62.75	64.32	67.29	70.25	71.83	1	0.0344
♀	0.6666667	64.11	65.72	68.75	71.78	73.39	1	0.0344
♀	0.7500000	65.41	67.05	70.14	73.24	74.88	1	0.0344
♀	0.8333333	66.65	68.32	71.48	74.64	76.32	1	0.0345
♀	0.9166667	67.83	69.54	72.77	76.00	77.71	1	0.0346
♀	1.0000000	68.97	70.72	74.02	77.31	79.06	1	0.0348
♀	2.0000000	80.09	82.28	86.42	90.55	92.74	1	0.0373
♀	2.0000000	79.39	81.58	85.72	89.85	92.04	1	0.0376
♀	3.0000000	87.59	90.17	95.05	99.93	102.51	1	0.0401
♀	4.0000000	94.29	97.21	102.73	108.25	111.17	1	0.0419
♀	4.0000000	93.65	96.38	101.54	106.70	109.43	1	0.0397
♀	5.0000000	100.09	103.13	108.86	114.59	117.63	1	0.0411
♀	6.0000000	105.82	109.11	115.33	121.55	124.84	1	0.0421
♀	7.0000000	111.14	114.65	121.27	127.89	131.40	1	0.0426
♀	8.0000000	116.61	120.33	127.34	134.35	138.07	1	0.0430
♀	9.0000000	121.37	125.33	132.82	140.31	144.27	1	0.0440
♀	10.0000000	125.97	130.28	138.43	146.58	150.89	1	0.0459
♀	11.0000000	130.60	135.28	144.12	152.96	157.64	1	0.0478
♀	12.0000000	135.80	140.63	149.76	158.89	163.72	1	0.0476
♀	13.0000000	141.70	146.40	155.28	164.16	168.86	1	0.0446
♀	14.0000000	146.78	151.22	159.61	168.00	172.44	1	0.0410
♀	15.0000000	149.97	154.19	162.18	170.17	174.39	1	0.0384
♀	16.0000000	151.28	155.41	163.22	171.03	175.16	1	0.0373
♀	17.0000000	151.65	155.75	163.51	171.27	175.37	1	0.0370
♀	18.0000000	151.72	155.82	163.57	171.32	175.42	1	0.0369
♀	19.0000000	151.79	155.89	163.63	171.37	175.47	1	0.0369
♀	20.0000000	151.81	155.90	163.64	171.38	175.47	1	0.0369

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	-0.3258042	0.42	0.49	0.61	0.74	0.80	1.1470	0.1588
♂	-0.3066393	0.48	0.56	0.71	0.86	0.94	1.1260	0.1625
♂	-0.2874743	0.55	0.64	0.82	0.99	1.08	1.1040	0.1663
♂	-0.2683094	0.61	0.72	0.92	1.12	1.23	1.0830	0.1701
♂	-0.2491444	0.68	0.80	1.04	1.27	1.39	1.0610	0.1736
♂	-0.2299795	0.75	0.89	1.16	1.42	1.56	1.0400	0.1766
♂	-0.2108145	0.84	0.99	1.29	1.59	1.74	1.0180	0.1790
♂	-0.1916496	0.93	1.10	1.44	1.77	1.94	0.9970	0.1806
♂	-0.1724846	1.04	1.23	1.61	1.98	2.18	0.9750	0.1809
♂	-0.1533196	1.17	1.39	1.80	2.22	2.44	0.9540	0.1798
♂	-0.1341547	1.33	1.56	2.02	2.48	2.72	0.9320	0.1770
♂	-0.1149897	1.50	1.76	2.25	2.75	3.02	0.9110	0.1726
♂	-0.0958248	1.69	1.96	2.49	3.02	3.31	0.8890	0.1667
♂	-0.0766598	1.89	2.18	2.73	3.29	3.59	0.8680	0.1594
♂	-0.0574949	2.10	2.40	2.96	3.54	3.86	0.8460	0.1512
♂	-0.0383299	2.31	2.61	3.18	3.77	4.09	0.8250	0.1426
♂	-0.0191650	2.51	2.80	3.38	3.97	4.29	0.8030	0.1347
♂	0.0000000	2.69	2.98	3.56	4.15	4.47	0.7820	0.1285
♂	0.0191650	2.84	3.14	3.72	4.32	4.65	0.7600	0.1241
♂	0.0383299	2.98	3.28	3.87	4.48	4.81	0.7390	0.1208
♂	0.0383299	2.81	3.12	3.75	4.48	4.90	0.2581	0.1414
♂	0.0574949	3.07	3.39	4.06	4.83	5.28	0.2442	0.1381
♂	0.0766598	3.32	3.66	4.37	5.17	5.65	0.2331	0.1350
♂	0.0833333	3.41	3.75	4.47	5.29	5.77	0.2297	0.1340
♂	0.0958248	3.57	3.92	4.66	5.50	5.99	0.2237	0.1321
♂	0.1149897	3.80	4.16	4.93	5.80	6.31	0.2155	0.1296
♂	0.1341547	4.01	4.39	5.18	6.08	6.61	0.2081	0.1273
♂	0.1533196	4.21	4.60	5.41	6.34	6.88	0.2014	0.1252
♂	0.1666667	4.34	4.74	5.57	6.51	7.06	0.1970	0.1239
♂	0.1724846	4.40	4.80	5.63	6.58	7.13	0.1952	0.1233
♂	0.1916496	4.57	4.98	5.83	6.80	7.37	0.1894	0.1216
♂	0.2108145	4.74	5.15	6.02	7.01	7.58	0.1840	0.1200
♂	0.2299795	4.89	5.32	6.20	7.21	7.79	0.1789	0.1186
♂	0.2491444	5.04	5.47	6.37	7.39	7.98	0.1740	0.1173
♂	0.2500000	5.04	5.48	6.38	7.40	7.99	0.1738	0.1173
♂	0.3333333	5.59	6.05	7.00	8.08	8.71	0.1553	0.1132
♂	0.4166667	6.02	6.51	7.51	8.64	9.30	0.1395	0.1108
♂	0.5000000	6.38	6.89	7.93	9.12	9.81	0.1257	0.1096
♂	0.5833333	6.68	7.21	8.30	9.53	10.25	0.1134	0.1090
♂	0.6666667	6.94	7.49	8.62	9.89	10.64	0.1021	0.1088
♂	0.7500000	7.18	7.74	8.90	10.22	10.99	0.0917	0.1088
♂	0.8333333	7.39	7.96	9.16	10.53	11.32	0.0820	0.1089
♂	0.9166667	7.59	8.18	9.41	10.82	11.64	0.0730	0.1091
♂	1.0000000	7.78	8.38	9.65	11.09	11.93	0.0644	0.1092
♂	2.0000000	9.72	10.50	12.15	14.07	15.21	-0.0137	0.1143
♂	2.0000000	9.72	10.50	12.15	14.07	15.21	-0.0137	0.1143
♂	3.0000000	11.33	12.29	14.34	16.77	18.22	-0.0689	0.1212
♂	4.0000000	12.78	13.90	16.35	19.28	21.07	-0.1131	0.1276
♂	4.0000000	13.31	14.32	16.55	19.31	21.04	-0.4260	0.1165
♂	5.0000000	14.91	16.06	18.63	21.92	24.04	-0.5670	0.1211
♂	6.0000000	16.51	17.80	20.77	24.69	27.31	-0.7110	0.1270
♂	7.0000000	18.16	19.62	23.05	27.80	31.13	-0.8610	0.1350
♂	8.0000000	19.95	21.61	25.63	31.49	35.84	-1.0050	0.1452
♂	9.0000000	21.83	23.71	28.39	35.53	41.10	-1.0920	0.1552
♂	10.0000000	23.82	25.96	31.35	39.78	46.52	-1.0970	0.1635
♂	11.0000000	25.94	28.39	34.58	44.29	52.05	-1.0180	0.1706
♂	12.0000000	28.13	30.98	38.12	49.04	57.50	-0.8520	0.1769
♂	13.0000000	31.11	34.55	42.97	55.22	64.14	-0.5990	0.1817
♂	14.0000000	34.98	39.18	49.15	62.90	72.33	-0.3510	0.1843
♂	15.0000000	39.58	44.31	55.37	70.16	80.02	-0.2630	0.1791
♂	16.0000000	44.73	49.51	60.59	75.31	85.10	-0.3520	0.1634
♂	17.0000000	49.13	53.72	64.33	78.39	87.75	-0.4890	0.1470
♂	18.0000000	52.02	56.49	66.82	80.54	89.73	-0.5990	0.1379
♂	19.0000000	53.80	58.23	68.45	82.08	91.24	-0.6710	0.1334
♂	20.0000000	54.94	59.34	69.52	83.13	92.31	-0.7180	0.1309
♀	-0.3258042	0.36	0.43	0.56	0.68	0.74	1.3260	0.1738
♀	-0.3066393	0.42	0.50	0.66	0.80	0.88	1.2780	0.1772
♀	-0.2874743	0.48	0.58	0.76	0.93	1.02	1.2290	0.1807
♀	-0.2683094	0.54	0.66	0.87	1.07	1.17	1.1810	0.1843
♀	-0.2491444	0.61	0.74	0.98	1.21	1.33	1.1320	0.1878
♀	-0.2299795	0.68	0.82	1.09	1.36	1.50	1.0840	0.1906
♀	-0.2108145	0.76	0.92	1.22	1.51	1.67	1.0350	0.1921
♀	-0.1916496	0.85	1.03	1.36	1.69	1.87	0.9870	0.1921
♀	-0.1724846	0.96	1.16	1.53	1.90	2.10	0.9380	0.1905
♀	-0.1533196	1.10	1.31	1.71	2.13	2.35	0.8900	0.1873
♀	-0.1341547	1.25	1.48	1.92	2.37	2.62	0.8410	0.1826
♀	-0.1149897	1.42	1.66	2.13	2.63	2.90	0.7930	0.1766
♀	-0.0958248	1.61	1.86	2.36	2.89	3.18	0.7440	0.1694
♀	-0.0766598	1.81	2.07	2.59	3.14	3.45	0.6950	0.1611
♀	-0.0574949	2.02	2.29	2.82	3.38	3.70	0.6470	0.1516
♀	-0.0383299	2.24	2.50	3.03	3.60	3.92	0.5980	0.1417
♀	-0.0191650	2.45	2.71	3.24	3.81	4.13	0.5500	0.1325
♀	0.0000000	2.63	2.89	3.41	3.98	4.30	0.5010	0.1248
♀	0.0191650	2.78	3.04	3.55	4.12	4.43	0.4530	0.1186
♀	0.0383299	2.91	3.16	3.67	4.23	4.54	0.4040	0.1131
♀	0.0383299	2.67	2.96	3.57	4.27	4.69	0.2304	0.1434
♀	0.0574949	2.89	3.19	3.84	4.58	5.01	0.2024	0.1406
♀	0.0766598	3.11	3.42	4.10	4.88	5.34	0.1789	0.1380
♀	0.0833333	3.18	3.50	4.19	4.98	5.45	0.1714	0.1372
♀	0.0958248	3.31	3.64	4.35	5.16	5.64	0.1582	0.1358
♀	0.1149897	3.50	3.85	4.58	5.43	5.93	0.1395	0.1339
♀	0.1341547	3.68	4.04	4.80	5.67	6.19	0.1224	0.1323
♀	0.1533196	3.85	4.22	5.00	5.90	6.43	0.1065	0.1309
♀	0.1666667	3.96	4.34	5.13	6.05	6.60	0.0962	0.1300
♀	0.1724846	4.01	4.38	5.18	6.11	6.66	0.0918	0.1297
♀	0.1916496	4.16	4.54	5.36	6.32	6.88	0.0779	0.1286
♀	0.2108145	4.30	4.69	5.53	6.51	7.09	0.0648	0.1277
♀	0.2299795	4.43	4.83	5.69	6.69	7.28	0.0525	0.1269
♀	0.2491444	4.55	4.96	5.84	6.86	7.47	0.0407	0.1262
♀	0.2500000	4.56	4.97	5.85	6.87	7.48	0.0402	0.1262
♀	0.3333333	5.04	5.48	6.42	7.53	8.19	-0.0050	0.1240
♀	0.4166667	5.43	5.90	6.90	8.08	8.79	-0.0430	0.1227
♀	0.5000000	5.76	6.25	7.30	8.54	9.29	-0.0756	0.1220
♀	0.5833333	6.04	6.55	7.64	8.94	9.73	-0.1039	0.1218
♀	0.6666667	6.28	6.81	7.95	9.31	10.13	-0.1288	0.1218
♀	0.7500000	6.50	7.05	8.23	9.64	10.49	-0.1507	0.1220
♀	0.8333333	6.71	7.27	8.48	9.94	10.83	-0.1700	0.1222
♀	0.9166667	6.89	7.47	8.72	10.22	11.15	-0.1872	0.1225
♀	1.0000000	7.08	7.67	8.95	10.50	11.45	-0.2024	0.1227
♀	2.0000000	9.08	9.83	11.48	13.50	14.77	-0.2941	0.1239
♀	2.0000000	9.08	9.83	11.48	13.50	14.77	-0.2941	0.1239
♀	3.0000000	10.86	11.79	13.85	16.42	18.04	-0.3201	0.1292
♀	4.0000000	12.39	13.52	16.07	19.31	21.38	-0.3361	0.1388
♀	4.0000000	12.87	13.90	16.20	19.13	21.02	-0.5160	0.1244
♀	5.0000000	14.36	15.55	18.30	21.92	24.33	-0.6070	0.1334
♀	6.0000000	15.87	17.25	20.49	24.89	27.92	-0.6840	0.1424
♀	7.0000000	17.55	19.15	22.98	28.38	32.21	-0.7490	0.1522
♀	8.0000000	19.48	21.34	25.89	32.52	37.39	-0.7890	0.1628
♀	9.0000000	21.41	23.56	28.88	36.80	42.74	-0.7850	0.1722
♀	10.0000000	23.55	26.07	32.31	41.66	48.72	-0.7250	0.1812
♀	11.0000000	25.76	28.72	36.03	46.85	54.85	-0.5970	0.1896
♀	12.0000000	28.61	32.04	40.32	51.99	60.18	-0.4180	0.1882
♀	13.0000000	32.68	36.48	45.36	57.19	65.08	-0.2810	0.1752
♀	14.0000000	36.98	40.95	50.05	61.93	69.70	-0.2840	0.1612
♀	15.0000000	40.40	44.35	53.39	65.19	72.93	-0.3780	0.1500
♀	16.0000000	42.57	46.50	55.54	67.42	75.29	-0.4720	0.1446
♀	17.0000000	43.81	47.75	56.84	68.88	76.92	-0.5360	0.1425
♀	18.0000000	44.47	48.41	57.54	69.71	77.87	-0.5720	0.1417
♀	19.0000000	44.81	48.76	57.92	70.15	78.38	-0.5910	0.1414
♀	20.0000000	44.98	48.94	58.10	70.37	78.64	-0.6010	0.1412

Region North America

Country: US

cdc.ref

Citations

• Flegal, Katherine M., and T. J. Cole. Construction of LMS Parameters for the Centers for Disease Control and Prevention 2000 Growth Charts. Hational health statitics reports 63.

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	2	14.45	15.09	16.58	18.61	20.04	-2.0112	0.0806
♂	20	18.57	19.82	23.02	28.33	33.03	-1.8423	0.1345
♀	2	14.07	14.80	16.42	18.44	19.72	-0.9866	0.0855
♀	20	17.30	18.48	21.71	28.13	35.68	-2.3450	0.1530

HEIGHT0_3

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	44.71	46.55	49.99	53.36	55.12	1.2670	0.0531
♂	0.0416667	47.78	49.46	52.70	56.03	57.84	0.5112	0.0487
♂	0.1250000	52.02	53.55	56.63	59.97	61.85	-0.4522	0.0441
♂	0.2083333	55.09	56.58	59.61	62.98	64.93	-0.9906	0.0418
♂	0.2916667	57.56	59.04	62.08	65.50	67.49	-1.2858	0.0405
♂	0.3750000	59.66	61.14	64.22	67.69	69.73	-1.4303	0.0396
♂	0.4583333	61.49	63.00	66.13	69.66	71.73	-1.4766	0.0391
♂	0.5416667	63.14	64.68	67.86	71.46	73.56	-1.4568	0.0388
♂	0.6250000	64.63	66.21	69.46	73.12	75.25	-1.3919	0.0386
♂	0.7083333	66.01	67.63	70.95	74.66	76.82	-1.2957	0.0385
♂	0.7916667	67.30	68.96	72.35	76.12	78.30	-1.1779	0.0385
♂	0.8750000	68.50	70.20	73.67	77.50	79.70	-1.0453	0.0386
♂	0.9583333	69.63	71.38	74.92	78.81	81.03	-0.9028	0.0386
♀	0.0000000	44.94	46.34	49.29	52.70	54.74	-1.2960	0.0501
♀	0.0416667	47.31	48.74	51.68	54.96	56.85	-0.8092	0.0468
♀	0.1250000	50.78	52.30	55.29	58.46	60.21	-0.0508	0.0434
♀	0.2083333	53.45	55.03	58.09	61.24	62.95	0.4769	0.0417
♀	0.2916667	55.67	57.32	60.46	63.63	65.31	0.8433	0.0407
♀	0.3750000	57.60	59.32	62.54	65.74	67.43	1.0976	0.0401
♀	0.4583333	59.34	61.11	64.41	67.66	69.37	1.2725	0.0397
♀	0.5416667	60.93	62.74	66.12	69.43	71.16	1.3904	0.0394
♀	0.6250000	62.39	64.25	67.71	71.08	72.83	1.4667	0.0393
♀	0.7083333	63.76	65.67	69.19	72.63	74.41	1.5123	0.0392
♀	0.7916667	65.05	66.99	70.59	74.09	75.91	1.5350	0.0392
♀	0.8750000	66.27	68.25	71.92	75.49	77.34	1.5404	0.0392
♀	0.9583333	67.43	69.45	73.19	76.82	78.71	1.5329	0.0393

HEIGHT2_20

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	2	79.64	81.99	86.45	90.93	93.30	0.9415	0.0403
♂	20	162.76	167.66	176.85	185.96	190.75	1.1673	0.0404
♀	2	78.16	80.52	84.98	89.41	91.75	1.0724	0.0408
♀	20	150.59	155.02	163.34	171.61	175.98	1.1080	0.0396

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	2.30	2.77	3.53	4.17	4.48	1.8152	0.1524
♂	0.0416667	2.74	3.21	4.00	4.72	5.07	1.5475	0.1460
♂	0.1250000	3.56	4.02	4.88	5.73	6.17	1.0688	0.1365
♂	0.2083333	4.29	4.75	5.67	6.64	7.17	0.6960	0.1297
♂	0.2916667	4.94	5.42	6.39	7.46	8.07	0.4198	0.1247
♂	0.3750000	5.52	6.01	7.04	8.20	8.87	0.2199	0.1210
♂	0.4583333	6.04	6.55	7.63	8.87	9.60	0.0775	0.1183
♂	0.5416667	6.50	7.04	8.16	9.48	10.26	-0.0219	0.1162
♂	0.6250000	6.92	7.47	8.64	10.02	10.84	-0.0894	0.1145
♂	0.7083333	7.30	7.87	9.08	10.51	11.38	-0.1334	0.1132
♂	0.7916667	7.63	8.22	9.48	10.96	11.85	-0.1601	0.1122
♂	0.8750000	7.94	8.54	9.84	11.36	12.29	-0.1743	0.1114
♂	0.9583333	8.21	8.83	10.16	11.73	12.68	-0.1797	0.1107
♂	3.0000000	11.67	12.49	14.33	16.64	18.12	-0.6033	0.1116
♀	0.0000000	2.37	2.75	3.40	3.99	4.29	1.5092	0.1421
♀	0.0416667	2.71	3.10	3.80	4.45	4.78	1.3579	0.1381
♀	0.1250000	3.35	3.77	4.54	5.31	5.70	1.1055	0.1317
♀	0.2083333	3.95	4.39	5.23	6.09	6.55	0.9026	0.1269
♀	0.2916667	4.49	4.96	5.86	6.80	7.32	0.7341	0.1230
♀	0.3750000	5.00	5.48	6.44	7.46	8.02	0.5902	0.1198
♀	0.4583333	5.47	5.96	6.97	8.06	8.67	0.4644	0.1172
♀	0.5416667	5.90	6.41	7.45	8.61	9.26	0.3522	0.1149
♀	0.6250000	6.29	6.82	7.90	9.11	9.80	0.2505	0.1129
♀	0.7083333	6.66	7.20	8.31	9.57	10.30	0.1572	0.1113
♀	0.7916667	7.00	7.55	8.69	10.00	10.76	0.0709	0.1099
♀	0.8750000	7.31	7.87	9.04	10.40	11.19	-0.0097	0.1087
♀	0.9583333	7.60	8.17	9.37	10.76	11.59	-0.0853	0.1077
♀	3.0000000	11.25	12.03	13.87	16.36	18.09	-1.0167	0.1189

WFL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	45	1.57	1.83	2.29	2.71	2.92	1.4490	0.1492
♀	45	1.59	1.82	2.31	2.82	3.11	0.6668	0.1690

## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?

WFL2

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	77	8.93	9.35	10.27	11.40	12.1	-0.9993	0.0771
♀	77	8.69	9.13	10.09	11.26	12.0	-0.9578	0.0817

## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?

WEIGHT2_20

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	2	10.30	11.05	12.67	14.58	15.74	0.1081	-0.2062
♂	20	53.47	58.41	70.60	88.81	102.59	0.1615	-0.9165
♀	2	9.91	10.57	12.06	13.94	15.15	0.1074	-0.7353
♀	20	44.65	48.38	58.22	75.35	91.33	0.1666	-1.5134

duran_bf.ref

Citations

• 1. Duran I, Martakis K, Rehberg M, Stark C, Schafmeyer L, Schönau E. Reference Centiles for the Evaluation of Nutritional Status in Children using Body Fat Percentage, Fat Mass and Lean Body Mass Index. Journal of Clinical Densitometry [Internet] 2019 [cited 2019 Mar 19];Available from: https://linkinghub.elsevier.com/retrieve/pii/S1094695018302622

BLACK_FMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	8	2.29	2.62	4.37	8.90	11.92	0.438	-0.547	5.101
♂	9	2.28	2.61	4.39	9.26	12.71	0.451	-0.575	5.101
♂	10	2.27	2.60	4.41	9.64	13.58	0.463	-0.604	5.101
♂	11	2.27	2.60	4.43	10.01	14.53	0.473	-0.635	5.101
♂	12	2.27	2.60	4.44	10.35	15.49	0.480	-0.670	5.101
♂	13	2.28	2.60	4.45	10.65	16.48	0.484	-0.708	5.101
♂	14	2.29	2.61	4.45	10.90	17.41	0.486	-0.744	5.101
♂	15	2.29	2.60	4.42	11.00	18.06	0.486	-0.775	5.101
♂	16	2.28	2.59	4.38	11.04	18.58	0.485	-0.803	5.101
♂	17	2.29	2.59	4.35	11.00	18.84	0.481	-0.830	5.101
♂	18	2.30	2.60	4.32	10.92	19.01	0.475	-0.861	5.101
♂	19	2.31	2.60	4.29	10.83	19.17	0.468	-0.896	5.101
♀	8	2.82	3.32	5.45	10.69	15.07	0.428	-0.525	3.307
♀	9	2.91	3.45	5.77	11.31	15.76	0.437	-0.460	3.307
♀	10	2.98	3.57	6.08	11.95	16.49	0.447	-0.399	3.307
♀	11	3.06	3.70	6.39	12.57	17.22	0.455	-0.349	3.307
♀	12	3.17	3.85	6.72	13.22	17.98	0.460	-0.313	3.307
♀	13	3.31	4.03	7.07	13.88	18.81	0.462	-0.293	3.307
♀	14	3.47	4.23	7.44	14.61	19.78	0.463	-0.287	3.307
♀	15	3.65	4.45	7.83	15.41	20.89	0.464	-0.289	3.307
♀	16	3.81	4.64	8.21	16.27	22.16	0.468	-0.292	3.307
♀	17	3.95	4.82	8.58	17.19	23.54	0.474	-0.295	3.307
♀	18	4.08	4.99	8.94	18.09	24.92	0.480	-0.297	3.307
♀	19	4.21	5.16	9.29	18.95	26.23	0.485	-0.297	3.307

BLACK_LBMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	10.45	11.03	12.28	13.75	14.64	0.086	-0.500
♂	9	10.55	11.21	12.64	14.37	15.44	0.097	-0.528
♂	10	10.67	11.41	13.04	15.06	16.33	0.108	-0.545
♂	11	10.84	11.66	13.48	15.78	17.26	0.118	-0.542
♂	12	11.10	12.01	14.05	16.68	18.40	0.128	-0.537
♂	13	11.58	12.57	14.84	17.83	19.82	0.136	-0.571
♂	14	12.18	13.25	15.73	19.09	21.39	0.142	-0.657
♂	15	12.85	13.96	16.58	20.24	22.81	0.144	-0.785
♂	16	13.51	14.62	17.28	21.06	23.78	0.141	-0.930
♂	17	14.03	15.13	17.76	21.52	24.23	0.136	-1.015
♂	18	14.33	15.42	18.03	21.70	24.33	0.132	-1.009
♂	19	14.52	15.62	18.22	21.80	24.31	0.129	-0.936
♀	8	9.40	10.16	11.88	14.08	15.52	0.127	-0.532
♀	9	9.81	10.60	12.39	14.73	16.28	0.128	-0.626
♀	10	10.23	11.03	12.88	15.34	17.00	0.128	-0.738
♀	11	10.63	11.45	13.36	15.97	17.78	0.129	-0.872
♀	12	11.02	11.84	13.80	16.54	18.49	0.129	-1.018
♀	13	11.35	12.18	14.19	17.07	19.18	0.130	-1.150
♀	14	11.61	12.46	14.51	17.52	19.78	0.131	-1.250
♀	15	11.80	12.66	14.76	17.90	20.31	0.133	-1.312
♀	16	11.90	12.78	14.95	18.23	20.79	0.136	-1.336
♀	17	11.98	12.88	15.11	18.52	21.20	0.139	-1.332
♀	18	12.00	12.93	15.24	18.79	21.59	0.143	-1.299
♀	19	12.01	12.97	15.36	19.03	21.94	0.147	-1.238

WHITE_FMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	8	2.75	3.08	4.63	8.85	12.63	0.368	-0.893	4.061
♂	9	2.80	3.15	4.81	9.36	13.42	0.381	-0.845	4.061
♂	10	2.83	3.21	4.98	9.88	14.25	0.395	-0.798	4.061
♂	11	2.82	3.20	5.06	10.23	14.82	0.409	-0.753	4.061
♂	12	2.77	3.16	5.08	10.48	15.27	0.423	-0.715	4.061
♂	13	2.72	3.12	5.09	10.67	15.63	0.435	-0.683	4.061
♂	14	2.65	3.06	5.05	10.68	15.60	0.444	-0.649	4.061
♂	15	2.56	2.97	4.96	10.53	15.28	0.452	-0.610	4.061
♂	16	2.51	2.93	4.95	10.48	15.00	0.458	-0.562	4.061
♂	17	2.51	2.94	5.05	10.67	15.06	0.466	-0.506	4.061
♂	18	2.52	2.98	5.20	10.94	15.22	0.474	-0.445	4.061
♂	19	2.54	3.03	5.39	11.31	15.53	0.483	-0.383	4.061
♀	8	3.16	3.67	5.68	10.44	14.57	0.382	-0.635	3.092
♀	9	3.22	3.76	5.90	10.76	14.75	0.387	-0.555	3.092
♀	10	3.28	3.85	6.12	11.10	14.97	0.392	-0.479	3.092
♀	11	3.34	3.95	6.34	11.44	15.25	0.396	-0.417	3.092
♀	12	3.42	4.06	6.57	11.82	15.63	0.399	-0.374	3.092
♀	13	3.53	4.20	6.82	12.23	16.12	0.400	-0.351	3.092
♀	14	3.66	4.36	7.08	12.66	16.64	0.399	-0.344	3.092
♀	15	3.83	4.55	7.37	13.15	17.28	0.397	-0.350	3.092
♀	16	4.01	4.76	7.69	13.74	18.09	0.396	-0.364	3.092
♀	17	4.18	4.96	8.01	14.36	18.97	0.397	-0.375	3.092
♀	18	4.34	5.16	8.35	15.06	19.97	0.400	-0.380	3.092
♀	19	4.49	5.34	8.69	15.81	21.07	0.405	-0.381	3.092

WHITE_LBMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	9.84	10.53	11.99	13.71	14.74	0.103	-0.218
♂	9	10.03	10.69	12.13	13.86	14.92	0.101	-0.427
♂	10	10.23	10.88	12.31	14.07	15.17	0.100	-0.606
♂	11	10.47	11.14	12.64	14.52	15.73	0.103	-0.736
♂	12	10.80	11.52	13.17	15.30	16.69	0.110	-0.811
♂	13	11.24	12.05	13.91	16.38	18.03	0.119	-0.843
♂	14	11.91	12.79	14.81	17.51	19.35	0.122	-0.846
♂	15	12.68	13.60	15.71	18.52	20.42	0.120	-0.848
♂	16	13.32	14.27	16.47	19.40	21.38	0.119	-0.875
♂	17	13.80	14.77	17.04	20.08	22.16	0.119	-0.923
♂	18	14.16	15.15	17.45	20.55	22.67	0.118	-0.968
♂	19	14.51	15.49	17.76	20.80	22.86	0.114	-0.991
♀	8	8.97	9.60	11.04	12.95	14.23	0.116	-0.877
♀	9	9.33	10.00	11.50	13.44	14.70	0.115	-0.715
♀	10	9.67	10.37	11.95	13.94	15.21	0.115	-0.571
♀	11	10.02	10.75	12.38	14.41	15.69	0.114	-0.495
♀	12	10.33	11.09	12.77	14.86	16.18	0.114	-0.501
♀	13	10.63	11.40	13.12	15.28	16.66	0.114	-0.561
♀	14	10.88	11.66	13.41	15.63	17.07	0.114	-0.647
♀	15	11.09	11.87	13.64	15.92	17.42	0.114	-0.749
♀	16	11.26	12.04	13.83	16.19	17.77	0.115	-0.864
♀	17	11.38	12.17	13.98	16.41	18.07	0.116	-0.969
♀	18	11.49	12.28	14.12	16.62	18.35	0.117	-1.039
♀	19	11.58	12.38	14.26	16.85	18.66	0.119	-1.089

MEXAM_FMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	8	2.73	3.23	5.66	11.45	15.31	0.465	-0.363	4.183
♂	9	2.76	3.29	5.82	11.89	15.92	0.473	-0.347	4.183
♂	10	2.80	3.34	5.97	12.29	16.49	0.480	-0.333	4.183
♂	11	2.83	3.38	6.09	12.64	17.01	0.486	-0.326	4.183
♂	12	2.79	3.34	6.07	12.73	17.20	0.492	-0.325	4.183
♂	13	2.71	3.24	5.91	12.49	16.96	0.496	-0.329	4.183
♂	14	2.62	3.13	5.71	12.16	16.62	0.498	-0.343	4.183
♂	15	2.59	3.09	5.61	12.03	16.57	0.498	-0.365	4.183
♂	16	2.62	3.12	5.63	12.15	16.88	0.496	-0.395	4.183
♂	17	2.69	3.18	5.67	12.23	17.11	0.490	-0.428	4.183
♂	18	2.77	3.26	5.73	12.32	17.32	0.482	-0.463	4.183
♂	19	2.88	3.38	5.84	12.44	17.54	0.471	-0.500	4.183
♀	8	2.98	3.50	5.41	9.73	13.62	0.379	-0.581	2.713
♀	9	3.17	3.74	5.82	10.50	14.67	0.383	-0.559	2.713
♀	10	3.37	3.98	6.23	11.25	15.67	0.386	-0.536	2.713
♀	11	3.56	4.21	6.63	11.98	16.63	0.389	-0.512	2.713
♀	12	3.73	4.44	7.01	12.65	17.47	0.391	-0.487	2.713
♀	13	3.93	4.68	7.40	13.26	18.16	0.390	-0.461	2.713
♀	14	4.12	4.91	7.78	13.82	18.75	0.388	-0.433	2.713
♀	15	4.31	5.15	8.15	14.34	19.24	0.385	-0.404	2.713
♀	16	4.49	5.37	8.51	14.84	19.74	0.383	-0.373	2.713
♀	17	4.68	5.61	8.88	15.31	20.13	0.379	-0.340	2.713
♀	18	4.88	5.86	9.26	15.78	20.54	0.375	-0.306	2.713
♀	19	5.09	6.11	9.63	16.17	20.80	0.369	-0.269	2.713

MEXAM_LBMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	9.76	10.39	11.86	13.85	15.22	0.111	-1.121
♂	9	9.96	10.65	12.24	14.36	15.79	0.116	-0.917
♂	10	10.14	10.89	12.62	14.88	16.37	0.121	-0.720
♂	11	10.40	11.22	13.08	15.47	17.02	0.125	-0.560
♂	12	10.77	11.66	13.68	16.25	17.89	0.129	-0.454
♂	13	11.29	12.25	14.41	17.15	18.90	0.131	-0.405
♂	14	11.90	12.92	15.22	18.14	20.01	0.132	-0.417
♂	15	12.57	13.62	16.01	19.07	21.06	0.131	-0.485
♂	16	13.18	14.24	16.68	19.85	21.93	0.129	-0.585
♂	17	13.61	14.68	17.13	20.35	22.50	0.127	-0.680
♂	18	13.88	14.94	17.38	20.61	22.78	0.125	-0.747
♂	19	14.00	15.06	17.49	20.73	22.91	0.124	-0.791
♀	8	7.10	7.59	8.73	10.24	11.26	0.116	-0.902
♀	9	7.43	7.95	9.15	10.78	11.91	0.118	-1.007
♀	10	7.78	8.32	9.59	11.35	12.60	0.120	-1.113
♀	11	8.13	8.69	10.03	11.93	13.30	0.122	-1.215
♀	12	8.47	9.05	10.44	12.46	13.95	0.123	-1.310
♀	13	8.74	9.33	10.77	12.89	14.49	0.124	-1.394
♀	14	8.92	9.53	11.00	13.20	14.90	0.125	-1.459
♀	15	9.01	9.62	11.12	13.38	15.14	0.126	-1.498
♀	16	9.09	9.70	11.21	13.49	15.27	0.126	-1.511
♀	17	9.14	9.76	11.29	13.61	15.42	0.127	-1.503
♀	18	9.20	9.83	11.37	13.70	15.51	0.127	-1.475
♀	19	9.22	9.86	11.43	13.78	15.60	0.128	-1.430

preterm.ref

Citations

• Olsen, I.E., Lawson, M.L., Ferguson, A.N., Cantrell, R., Grabich, S.C., Zemel, B.S., Clark, R.H., 2015. BMI Curves for Preterm Infants. PEDIATRICS 135, e572–e581. doi:10.1542/peds.2014-2777
• Olsen, I.E., Groveman, S.A., Lawson, M.L., Clark, R.H., Zemel, B.S., 2010. New intrauterine growth curves based on United States data. Pediatrics 125, e214-224. doi:10.1542/peds.2009-0913

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	24	5.40	5.84	6.73	7.74	8.32	0.2044	0.1100
♀	25	5.60	6.06	7.01	8.06	8.66	0.2401	0.1112
♀	26	5.81	6.29	7.28	8.38	9.01	0.2442	0.1119
♀	27	6.03	6.53	7.56	8.72	9.38	0.2073	0.1128
♀	28	6.27	6.80	7.89	9.12	9.84	0.1523	0.1149
♀	29	6.58	7.13	8.26	9.55	10.29	0.1573	0.1140
♀	30	6.93	7.50	8.69	10.02	10.79	0.1961	0.1129
♀	31	7.28	7.89	9.16	10.58	11.40	0.2209	0.1143
♀	32	7.65	8.31	9.65	11.16	12.03	0.2346	0.1151
♀	33	8.09	8.77	10.18	11.76	12.67	0.2209	0.1142
♀	34	8.54	9.25	10.74	12.42	13.40	0.1569	0.1149
♀	35	8.85	9.64	11.28	13.17	14.27	0.1373	0.1217
♀	36	9.15	10.02	11.84	13.92	15.13	0.2146	0.1281
♀	37	9.59	10.50	12.40	14.54	15.78	0.2477	0.1268
♀	38	10.15	11.03	12.86	14.93	16.13	0.1964	0.1180
♀	39	10.59	11.43	13.19	15.17	16.31	0.1415	0.1103
♀	40	10.83	11.66	13.36	15.26	16.34	0.2118	0.1049
♀	41	10.87	11.72	13.45	15.32	16.37	0.3888	0.1043
♂	24	5.62	6.05	6.93	7.91	8.48	0.1626	0.1047
♂	25	5.83	6.27	7.20	8.24	8.84	0.1637	0.1063
♂	26	6.06	6.53	7.51	8.61	9.24	0.1647	0.1074
♂	27	6.30	6.79	7.83	8.99	9.66	0.1658	0.1091
♂	28	6.53	7.05	8.13	9.35	10.05	0.1668	0.1098
♂	29	6.80	7.35	8.49	9.77	10.52	0.1679	0.1112
♂	30	7.09	7.68	8.90	10.29	11.09	0.1690	0.1139
♂	31	7.48	8.10	9.38	10.82	11.65	0.1700	0.1129
♂	32	7.90	8.54	9.86	11.34	12.20	0.1709	0.1109
♂	33	8.32	8.99	10.38	11.94	12.85	0.1718	0.1109
♂	34	8.71	9.42	10.90	12.57	13.53	0.1725	0.1123
♂	35	9.05	9.83	11.44	13.28	14.34	0.1731	0.1174
♂	36	9.42	10.26	12.00	13.98	15.13	0.1736	0.1208
♂	37	9.86	10.72	12.51	14.54	15.72	0.1741	0.1189
♂	38	10.37	11.23	13.03	15.07	16.24	0.1744	0.1145
♂	39	10.70	11.55	13.29	15.24	16.37	0.1748	0.1084
♂	40	10.87	11.69	13.39	15.28	16.37	0.1751	0.1044
♂	41	10.95	11.78	13.47	15.37	16.45	0.1755	0.1038

LENGTH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	23	26.53	27.71	29.86	31.92	32.98	1.613	0.055
♀	24	27.36	28.69	31.07	33.32	34.46	1.799	0.058
♀	25	28.12	29.64	32.32	34.80	36.04	2.005	0.062
♀	26	28.95	30.68	33.64	36.31	37.63	2.234	0.065
♀	27	29.93	31.83	35.05	37.89	39.29	2.395	0.067
♀	28	31.10	33.12	36.52	39.53	41.00	2.396	0.068
♀	29	32.48	34.53	38.04	41.19	42.75	2.231	0.068
♀	30	33.99	36.02	39.55	42.74	44.33	2.125	0.066
♀	31	35.46	37.47	40.96	44.12	45.68	2.217	0.063
♀	32	36.86	38.86	42.33	45.50	47.08	2.172	0.061
♀	33	38.34	40.27	43.70	46.90	48.51	1.938	0.059
♀	34	39.61	41.53	44.98	48.23	49.88	1.784	0.058
♀	35	40.67	42.63	46.17	49.51	51.21	1.746	0.058
♀	36	41.72	43.73	47.36	50.78	52.53	1.750	0.058
♀	37	42.92	44.91	48.50	51.89	53.61	1.809	0.056
♀	38	44.20	46.08	49.48	52.69	54.32	1.840	0.052
♀	39	45.06	46.90	50.21	53.35	54.94	1.883	0.050
♀	40	45.89	47.64	50.79	53.77	55.28	1.922	0.047
♀	41	46.43	48.16	51.27	54.21	55.71	1.958	0.046
♂	23	26.77	28.02	30.28	32.45	33.56	1.608	0.057
♂	24	27.72	29.09	31.54	33.86	35.05	1.748	0.059
♂	25	28.62	30.15	32.86	35.39	36.66	1.889	0.062
♂	26	29.65	31.32	34.27	36.97	38.32	2.029	0.064
♂	27	30.79	32.60	35.73	38.58	39.99	2.159	0.065
♂	28	31.94	33.89	37.22	40.22	41.69	2.264	0.066
♂	29	33.24	35.25	38.67	41.73	43.23	2.335	0.065
♂	30	34.56	36.61	40.11	43.23	44.77	2.367	0.064
♂	31	36.01	38.06	41.56	44.69	46.24	2.357	0.062
♂	32	37.46	39.49	42.97	46.13	47.68	2.314	0.060
♂	33	38.91	40.90	44.37	47.53	49.10	2.244	0.058
♂	34	40.18	42.17	45.66	48.86	50.46	2.163	0.057
♂	35	41.28	43.31	46.88	50.18	51.83	2.074	0.057
♂	36	42.40	44.45	48.10	51.50	53.21	1.973	0.057
♂	37	43.68	45.68	49.27	52.64	54.35	1.866	0.055
♂	38	44.91	46.81	50.25	53.52	55.19	1.769	0.052
♂	39	45.93	47.73	51.01	54.14	55.75	1.689	0.049
♂	40	46.71	48.44	51.61	54.66	56.24	1.626	0.047
♂	41	47.29	49.00	52.12	55.14	56.71	1.572	0.046

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	23	0.42	0.48	0.58	0.69	0.74	1.195	0.140
♀	24	0.46	0.52	0.65	0.77	0.84	1.180	0.149
♀	25	0.50	0.58	0.74	0.88	0.96	1.161	0.159
♀	26	0.55	0.64	0.83	1.00	1.10	1.140	0.169
♀	27	0.60	0.72	0.94	1.15	1.26	1.116	0.178
♀	28	0.67	0.81	1.06	1.31	1.44	1.087	0.185
♀	29	0.76	0.91	1.20	1.49	1.64	1.054	0.186
♀	30	0.88	1.05	1.37	1.69	1.86	1.015	0.182
♀	31	1.01	1.20	1.55	1.90	2.08	0.975	0.177
♀	32	1.16	1.35	1.73	2.12	2.32	0.930	0.172
♀	33	1.33	1.54	1.96	2.38	2.61	0.878	0.167
♀	34	1.50	1.73	2.19	2.66	2.92	0.827	0.166
♀	35	1.59	1.87	2.41	2.99	3.30	0.786	0.181
♀	36	1.71	2.03	2.66	3.34	3.71	0.764	0.192
♀	37	1.92	2.26	2.94	3.65	4.04	0.771	0.185
♀	38	2.19	2.52	3.17	3.85	4.22	0.796	0.163
♀	39	2.41	2.72	3.34	3.97	4.32	0.821	0.146
♀	40	2.55	2.86	3.45	4.07	4.40	0.841	0.137
♀	41	2.62	2.93	3.53	4.14	4.47	0.855	0.134
♂	23	0.45	0.51	0.62	0.73	0.78	1.317	0.136
♂	24	0.49	0.56	0.69	0.81	0.87	1.305	0.142
♂	25	0.54	0.63	0.78	0.93	1.00	1.289	0.150
♂	26	0.60	0.70	0.89	1.07	1.16	1.270	0.158
♂	27	0.67	0.79	1.01	1.22	1.32	1.248	0.165
♂	28	0.74	0.88	1.14	1.39	1.51	1.224	0.171
♂	29	0.83	0.99	1.28	1.56	1.70	1.196	0.174
♂	30	0.93	1.11	1.44	1.76	1.92	1.162	0.174
♂	31	1.07	1.27	1.63	1.98	2.17	1.122	0.171
♂	32	1.22	1.43	1.83	2.22	2.42	1.075	0.167
♂	33	1.39	1.62	2.06	2.49	2.72	1.021	0.164
♂	34	1.56	1.81	2.29	2.76	3.02	0.968	0.163
♂	35	1.69	1.98	2.53	3.09	3.38	0.917	0.171
♂	36	1.85	2.17	2.79	3.43	3.78	0.873	0.177
♂	37	2.06	2.40	3.06	3.74	4.11	0.839	0.171
♂	38	2.31	2.65	3.31	3.99	4.36	0.814	0.158
♂	39	2.51	2.83	3.47	4.13	4.49	0.796	0.146
♂	40	2.63	2.95	3.58	4.23	4.59	0.785	0.140
♂	41	2.72	3.04	3.67	4.32	4.67	0.776	0.136

schafmeyer_leg.ref

Citations

• Schafmeyer L, Linden T, Sill H, Rehberg M, Schoenau E, Duran I. Pediatric Reference Centiles of Bone Mineral Density and Body Composition of Lower Limbs. Journal of Clinical Densitometry. 2022 Jan;25(1):73–80.

BMCBLACK

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	130.84	142.69	172.33	217.97	253.82	0.1627	-1.0381
♂	9	149.09	164.47	202.33	258.22	299.72	0.1744	-0.7266
♂	10	166.60	186.45	234.31	301.75	349.10	0.1872	-0.4232
♂	11	185.04	210.77	271.19	351.92	405.45	0.1999	-0.1296
♂	12	207.74	241.25	317.32	413.08	473.11	0.2097	0.1429
♂	13	236.09	278.92	372.50	483.70	550.12	0.2140	0.3710
♂	14	269.25	321.03	430.29	554.24	625.72	0.2115	0.5354
♂	15	304.52	362.76	482.66	614.71	689.27	0.2039	0.6316
♂	16	338.29	399.52	524.11	659.54	735.34	0.1938	0.6655
♂	17	366.97	428.63	553.90	689.97	766.13	0.1843	0.6508
♂	18	389.55	450.51	574.98	711.13	787.76	0.1770	0.6053
♂	19	408.81	468.68	591.93	728.21	805.55	0.1711	0.5420
♂	20	427.16	485.89	607.72	743.89	821.82	0.1656	0.4761
♀	8	111.42	133.41	178.70	228.57	256.71	0.2080	0.6400
♀	9	140.86	166.62	220.40	280.67	315.13	0.2020	0.5610
♀	10	171.07	200.21	261.70	331.70	372.21	0.1960	0.4850
♀	11	201.06	233.09	301.30	379.96	425.98	0.1900	0.4150
♀	12	229.77	263.97	337.20	422.41	472.64	0.1830	0.3540
♀	13	254.57	290.46	367.50	457.55	510.87	0.1770	0.3120
♀	14	274.66	311.70	391.00	483.46	538.14	0.1710	0.2990
♀	15	289.33	327.30	408.00	501.21	555.95	0.1660	0.3220
♀	16	299.71	338.28	419.30	511.50	565.02	0.1610	0.3740
♀	17	306.21	345.24	426.20	516.82	568.78	0.1570	0.4400
♀	18	310.65	349.84	430.10	518.50	568.58	0.1530	0.5080
♀	19	313.27	352.63	432.30	518.77	567.22	0.1500	0.5750
♀	20	316.28	355.48	433.90	517.76	564.26	0.1460	0.6420

FATBLACK

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	0.79	1.10	2.03	3.72	5.10	0.4750	0.0215
♀	9	0.98	1.34	2.45	4.46	6.13	0.4677	-0.0027
♀	10	1.17	1.59	2.86	5.18	7.12	0.4604	-0.0279
♀	11	1.36	1.83	3.24	5.84	8.05	0.4527	-0.0544
♀	12	1.55	2.06	3.59	6.44	8.86	0.4445	-0.0809
♀	13	1.72	2.27	3.91	6.95	9.57	0.4363	-0.1052
♀	14	1.88	2.46	4.19	7.40	10.18	0.4287	-0.1253
♀	15	2.02	2.63	4.43	7.78	10.69	0.4226	-0.1401
♀	16	2.14	2.77	4.64	8.11	11.12	0.4182	-0.1502
♀	17	2.24	2.89	4.81	8.39	11.49	0.4152	-0.1574
♀	18	2.32	2.99	4.96	8.63	11.82	0.4129	-0.1638
♀	19	2.40	3.08	5.10	8.85	12.11	0.4106	-0.1692
♀	20	2.47	3.17	5.23	9.06	12.39	0.4084	-0.1743
♂	8	0.58	0.78	1.43	2.88	4.40	0.5067	-0.2270
♂	9	0.67	0.91	1.68	3.48	5.43	0.5210	-0.2392
♂	10	0.76	1.03	1.94	4.11	6.54	0.5346	-0.2523
♂	11	0.85	1.15	2.18	4.73	7.70	0.5450	-0.2693
♂	12	0.95	1.27	2.41	5.31	8.82	0.5499	-0.2957
♂	13	1.04	1.38	2.60	5.79	9.84	0.5491	-0.3327
♂	14	1.11	1.47	2.73	6.12	10.64	0.5438	-0.3756
♂	15	1.16	1.52	2.78	6.24	11.08	0.5358	-0.4183
♂	16	1.19	1.54	2.77	6.19	11.17	0.5257	-0.4592
♂	17	1.20	1.54	2.72	6.04	10.99	0.5135	-0.4987
♂	18	1.21	1.53	2.66	5.82	10.63	0.4990	-0.5374
♂	19	1.22	1.53	2.60	5.58	10.18	0.4829	-0.5770
♂	20	1.23	1.53	2.54	5.35	9.72	0.4667	-0.6176

FATWHITE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	0.75	0.93	1.49	2.73	4.07	0.4104	-0.4562
♂	9	0.88	1.09	1.78	3.29	4.93	0.4226	-0.4194
♂	10	0.99	1.25	2.07	3.87	5.81	0.4351	-0.3829
♂	11	1.09	1.39	2.35	4.45	6.69	0.4478	-0.3486
♂	12	1.18	1.51	2.59	4.98	7.51	0.4595	-0.3210
♂	13	1.24	1.61	2.79	5.42	8.19	0.4683	-0.3024
♂	14	1.29	1.68	2.94	5.73	8.65	0.4732	-0.2887
♂	15	1.32	1.72	3.02	5.88	8.85	0.4747	-0.2744
♂	16	1.34	1.75	3.07	5.93	8.85	0.4731	-0.2557
♂	17	1.35	1.77	3.11	5.95	8.77	0.4697	-0.2331
♂	18	1.37	1.80	3.15	5.96	8.67	0.4650	-0.2105
♂	19	1.40	1.84	3.20	5.98	8.61	0.4591	-0.1918
♂	20	1.43	1.88	3.27	6.02	8.57	0.4528	-0.1758
♀	8	0.92	1.15	1.87	3.45	5.13	0.4217	-0.4049
♀	9	1.09	1.37	2.24	4.02	5.76	0.4150	-0.3206
♀	10	1.25	1.59	2.60	4.56	6.34	0.4084	-0.2434
♀	11	1.41	1.79	2.93	5.02	6.84	0.4006	-0.1857
♀	12	1.56	1.99	3.22	5.43	7.28	0.3913	-0.1515
♀	13	1.73	2.19	3.51	5.81	7.71	0.3801	-0.1407
♀	14	1.89	2.38	3.75	6.10	8.02	0.3667	-0.1465
♀	15	2.06	2.56	3.96	6.34	8.26	0.3535	-0.1637
♀	16	2.22	2.74	4.18	6.61	8.56	0.3430	-0.1855
♀	17	2.35	2.88	4.37	6.89	8.92	0.3388	-0.2039
♀	18	2.44	3.00	4.57	7.24	9.43	0.3423	-0.2147
♀	19	2.53	3.13	4.79	7.67	10.06	0.3490	-0.2217
♀	20	2.65	3.28	5.05	8.16	10.78	0.3550	-0.2286

FATMEXICAN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	0.73	1.00	1.84	3.53	5.08	0.4916	-0.1033
♂	9	0.84	1.14	2.09	4.04	5.84	0.4935	-0.1148
♂	10	0.94	1.27	2.34	4.54	6.60	0.4951	-0.1269
♂	11	1.03	1.40	2.57	5.01	7.32	0.4958	-0.1405
♂	12	1.12	1.51	2.77	5.41	7.94	0.4954	-0.1550
♂	13	1.20	1.61	2.94	5.73	8.45	0.4936	-0.1700
♂	14	1.26	1.69	3.06	5.96	8.80	0.4902	-0.1855
♂	15	1.32	1.75	3.14	6.10	9.03	0.4851	-0.2022
♂	16	1.36	1.80	3.19	6.17	9.13	0.4785	-0.2209
♂	17	1.40	1.83	3.22	6.17	9.12	0.4703	-0.2404
♂	18	1.43	1.86	3.22	6.12	9.02	0.4608	-0.2597
♂	19	1.46	1.88	3.22	6.04	8.87	0.4508	-0.2792
♂	20	1.49	1.90	3.21	5.95	8.71	0.4408	-0.2989
♀	8	0.75	0.96	1.59	2.88	4.11	0.4251	-0.2790
♀	9	1.00	1.25	2.04	3.63	5.18	0.4105	-0.3293
♀	10	1.25	1.55	2.47	4.34	6.19	0.3966	-0.3741
♀	11	1.49	1.84	2.87	4.97	7.05	0.3828	-0.4119
♀	12	1.72	2.10	3.23	5.48	7.71	0.3690	-0.4416
♀	13	1.93	2.33	3.53	5.88	8.18	0.3560	-0.4599
♀	14	2.09	2.52	3.76	6.17	8.45	0.3447	-0.4595
♀	15	2.21	2.65	3.94	6.35	8.58	0.3366	-0.4372
♀	16	2.29	2.75	4.08	6.49	8.64	0.3312	-0.3973
♀	17	2.36	2.85	4.21	6.63	8.71	0.3275	-0.3477
♀	18	2.43	2.94	4.35	6.78	8.80	0.3243	-0.2949
♀	19	2.50	3.04	4.49	6.92	8.87	0.3202	-0.2403
♀	20	2.58	3.14	4.63	7.05	8.93	0.3153	-0.1842

BMDWHITE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	0.59	0.64	0.75	0.86	0.92	0.1139	0.6247
♀	9	0.64	0.70	0.81	0.92	0.99	0.1084	0.6080
♀	10	0.70	0.76	0.87	0.99	1.05	0.1033	0.5805
♀	11	0.76	0.81	0.93	1.05	1.11	0.0983	0.5356
♀	12	0.81	0.87	0.98	1.10	1.17	0.0937	0.4613
♀	13	0.86	0.91	1.03	1.15	1.22	0.0896	0.3651
♀	14	0.90	0.95	1.07	1.19	1.26	0.0865	0.2540
♀	15	0.93	0.98	1.10	1.22	1.29	0.0848	0.1219
♀	16	0.95	1.00	1.12	1.25	1.32	0.0844	-0.0047
♀	17	0.96	1.02	1.13	1.26	1.34	0.0851	-0.0547
♀	18	0.96	1.02	1.14	1.28	1.35	0.0864	0.0252
♀	19	0.97	1.03	1.15	1.29	1.36	0.0880	0.2207
♀	20	0.97	1.03	1.16	1.30	1.37	0.0896	0.4510
♂	8	0.61	0.66	0.76	0.85	0.89	0.0950	1.6441
♂	9	0.65	0.70	0.80	0.89	0.94	0.0940	1.3272
♂	10	0.69	0.74	0.84	0.94	1.00	0.0932	1.0362
♂	11	0.73	0.79	0.89	1.00	1.05	0.0930	0.8071
♂	12	0.78	0.83	0.94	1.06	1.12	0.0933	0.6714
♂	13	0.83	0.89	1.01	1.13	1.20	0.0940	0.6459
♂	14	0.88	0.95	1.07	1.21	1.28	0.0945	0.7126
♂	15	0.93	1.00	1.14	1.28	1.35	0.0946	0.8455
♂	16	0.98	1.05	1.20	1.34	1.42	0.0944	0.9926
♂	17	1.01	1.09	1.24	1.39	1.47	0.0939	1.1378
♂	18	1.04	1.12	1.28	1.43	1.50	0.0932	1.2972
♂	19	1.05	1.14	1.30	1.45	1.53	0.0924	1.4899
♂	20	1.07	1.16	1.32	1.47	1.54	0.0914	1.6984

BMDMEXICAN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	0.58	0.63	0.73	0.84	0.90	0.1125	0.4256
♀	9	0.63	0.69	0.80	0.91	0.97	0.1088	0.5867
♀	10	0.69	0.75	0.87	0.98	1.05	0.1052	0.7174
♀	11	0.75	0.81	0.93	1.05	1.12	0.1019	0.7888
♀	12	0.80	0.86	0.99	1.11	1.18	0.0986	0.8059
♀	13	0.85	0.91	1.03	1.16	1.23	0.0953	0.7649
♀	14	0.88	0.95	1.07	1.20	1.27	0.0921	0.6635
♀	15	0.91	0.97	1.09	1.22	1.29	0.0894	0.5236
♀	16	0.92	0.98	1.10	1.23	1.30	0.0875	0.3618
♀	17	0.93	0.99	1.11	1.24	1.31	0.0866	0.1565
♀	18	0.93	0.99	1.10	1.23	1.31	0.0863	-0.0928
♀	19	0.93	0.99	1.10	1.23	1.31	0.0862	-0.3579
♀	20	0.93	0.98	1.09	1.22	1.30	0.0861	-0.6147
♂	8	0.59	0.64	0.74	0.84	0.90	0.1081	0.5562
♂	9	0.63	0.68	0.79	0.90	0.96	0.1067	0.5445
♂	10	0.68	0.73	0.84	0.96	1.02	0.1053	0.5324
♂	11	0.72	0.78	0.90	1.02	1.09	0.1038	0.5277
♂	12	0.77	0.83	0.95	1.08	1.15	0.1022	0.5292
♂	13	0.82	0.89	1.02	1.15	1.22	0.1005	0.5270
♂	14	0.88	0.94	1.08	1.22	1.30	0.0989	0.5314
♂	15	0.93	1.00	1.14	1.28	1.36	0.0975	0.5478
♂	16	0.97	1.04	1.18	1.33	1.42	0.0965	0.5706
♂	17	1.00	1.07	1.22	1.37	1.45	0.0958	0.5822
♂	18	1.01	1.09	1.23	1.39	1.47	0.0955	0.5554
♂	19	1.02	1.09	1.24	1.40	1.49	0.0955	0.4843
♂	20	1.03	1.10	1.25	1.41	1.50	0.0957	0.3943

BMDBLACK

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	0.63	0.70	0.82	0.92	0.97	0.1039	2.1595
♀	9	0.69	0.76	0.88	0.99	1.05	0.1012	1.7643
♀	10	0.76	0.82	0.95	1.07	1.13	0.0987	1.3629
♀	11	0.82	0.89	1.01	1.13	1.20	0.0963	0.9679
♀	12	0.88	0.94	1.07	1.20	1.27	0.0940	0.6237
♀	13	0.92	0.99	1.11	1.25	1.32	0.0919	0.3775
♀	14	0.96	1.02	1.15	1.29	1.37	0.0901	0.2522
♀	15	0.98	1.05	1.18	1.32	1.39	0.0890	0.2667
♀	16	1.00	1.06	1.19	1.33	1.41	0.0884	0.4289
♀	17	1.00	1.07	1.20	1.34	1.42	0.0882	0.7158
♀	18	1.00	1.07	1.21	1.35	1.42	0.0881	1.0980
♀	19	0.99	1.07	1.21	1.35	1.42	0.0881	1.5360
♀	20	0.99	1.07	1.22	1.35	1.41	0.0881	1.9838
♂	8	0.65	0.70	0.79	0.89	0.95	0.0958	0.2469
♂	9	0.69	0.74	0.84	0.95	1.02	0.0971	0.2909
♂	10	0.74	0.79	0.90	1.02	1.08	0.0985	0.3316
♂	11	0.78	0.83	0.95	1.08	1.15	0.1002	0.3811
♂	12	0.82	0.88	1.01	1.15	1.22	0.1021	0.4322
♂	13	0.87	0.94	1.08	1.22	1.31	0.1040	0.4773
♂	14	0.92	1.00	1.15	1.31	1.39	0.1054	0.5234
♂	15	0.97	1.06	1.22	1.39	1.48	0.1058	0.5688
♂	16	1.02	1.11	1.28	1.45	1.55	0.1049	0.6285
♂	17	1.06	1.15	1.32	1.50	1.60	0.1032	0.7052
♂	18	1.10	1.19	1.36	1.54	1.64	0.1013	0.7846
♂	19	1.12	1.22	1.39	1.57	1.67	0.0994	0.8519
♂	20	1.15	1.24	1.42	1.60	1.69	0.0974	0.9150

LBMWHITE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	1.82	2.11	2.87	4.05	4.93	0.2526	-0.3268
♀	9	2.23	2.58	3.46	4.74	5.67	0.2373	-0.2501
♀	10	2.65	3.06	4.04	5.42	6.38	0.2233	-0.1926
♀	11	3.08	3.53	4.59	6.05	7.05	0.2108	-0.1807
♀	12	3.50	3.97	5.09	6.63	7.66	0.1996	-0.2142
♀	13	3.87	4.36	5.52	7.11	8.19	0.1904	-0.2759
♀	14	4.17	4.67	5.86	7.49	8.60	0.1837	-0.3396
♀	15	4.38	4.89	6.10	7.77	8.92	0.1800	-0.3858
♀	16	4.52	5.04	6.28	7.99	9.17	0.1795	-0.4012
♀	17	4.59	5.13	6.41	8.17	9.39	0.1815	-0.3728
♀	18	4.63	5.19	6.52	8.35	9.58	0.1850	-0.3052
♀	19	4.66	5.25	6.65	8.52	9.77	0.1884	-0.2167
♀	20	4.70	5.32	6.78	8.69	9.95	0.1915	-0.1258
♂	8	2.16	2.48	3.22	4.16	4.76	0.2014	0.0375
♂	9	2.45	2.80	3.60	4.62	5.27	0.1956	0.0429
♂	10	2.74	3.13	4.00	5.11	5.80	0.1917	0.0571
♂	11	3.10	3.54	4.55	5.81	6.60	0.1929	0.0842
♂	12	3.54	4.08	5.30	6.81	7.76	0.1998	0.1249
♂	13	4.08	4.74	6.22	8.06	9.20	0.2071	0.1706
♂	14	4.77	5.54	7.24	9.33	10.62	0.2036	0.2053
♂	15	5.52	6.34	8.15	10.33	11.66	0.1902	0.2129
♂	16	6.13	6.96	8.77	10.96	12.28	0.1771	0.1851
♂	17	6.50	7.33	9.14	11.33	12.66	0.1701	0.1352
♂	18	6.69	7.51	9.31	11.51	12.85	0.1664	0.0804
♂	19	6.84	7.65	9.41	11.57	12.90	0.1617	0.0347
♂	20	7.00	7.78	9.50	11.60	12.89	0.1558	-0.0060

BMCWHITE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	102.34	116.54	150.31	196.42	227.60	0.2035	-0.1909
♀	9	123.48	141.46	183.04	237.14	272.11	0.2016	-0.0183
♀	10	144.95	166.98	216.56	278.31	316.75	0.1992	0.1391
♀	11	167.52	193.58	250.88	319.91	361.70	0.1957	0.2575
♀	12	190.61	220.26	284.29	359.59	404.31	0.1908	0.3373
♀	13	212.96	245.45	314.71	394.78	441.74	0.1849	0.3882
♀	14	232.52	267.09	339.99	423.12	471.39	0.1789	0.4276
♀	15	248.08	284.08	359.33	444.22	493.11	0.1738	0.4597
♀	16	259.70	296.76	373.69	459.74	509.01	0.1701	0.4868
♀	17	267.48	305.60	384.14	471.09	520.49	0.1681	0.5278
♀	18	272.47	311.93	392.35	480.19	529.61	0.1674	0.5890
♀	19	276.33	317.37	399.98	488.82	538.23	0.1674	0.6618
♀	20	280.26	322.96	407.91	497.99	547.60	0.1676	0.7278
♂	8	110.05	124.02	154.17	189.77	211.05	0.1658	0.2175
♂	9	125.78	142.80	180.09	225.04	252.33	0.1774	0.1786
♂	10	138.16	158.15	202.66	257.37	291.08	0.1899	0.1521
♂	11	152.98	176.85	230.52	297.26	338.72	0.2025	0.1594
♂	12	174.51	204.02	270.30	352.33	402.99	0.2129	0.2182
♂	13	203.45	240.27	321.54	419.52	478.68	0.2169	0.3279
♂	14	243.50	288.53	384.62	495.32	559.90	0.2097	0.4741
♂	15	285.81	337.13	442.31	557.65	622.60	0.1947	0.6318
♂	16	319.72	374.42	482.81	597.09	659.75	0.1801	0.7715
♂	17	342.77	399.44	508.88	621.02	681.33	0.1700	0.8891
♂	18	354.60	412.46	521.88	631.43	689.46	0.1637	0.9945
♂	19	361.26	419.87	528.40	634.68	690.18	0.1585	1.1030
♂	20	364.73	423.35	529.65	631.49	683.95	0.1530	1.2164

BMCMEXICAN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	99.38	112.49	142.92	182.95	209.16	0.1897	-0.1261
♀	9	124.68	141.33	179.68	229.44	261.61	0.1890	-0.0746
♀	10	150.01	170.27	216.56	275.87	313.77	0.1883	-0.0263
♀	11	174.58	198.38	252.34	320.65	363.87	0.1873	0.0174
♀	12	196.92	223.90	284.65	360.71	408.37	0.1860	0.0570
♀	13	215.75	245.30	311.33	393.15	443.95	0.1840	0.0915
♀	14	230.25	261.57	331.09	416.34	468.84	0.1813	0.1214
♀	15	240.47	272.85	344.22	430.92	483.92	0.1782	0.1476
♀	16	247.17	280.07	352.16	439.00	491.72	0.1753	0.1706
♀	17	251.38	284.43	356.52	442.81	494.94	0.1726	0.1865
♀	18	254.01	286.97	358.60	444.00	495.41	0.1702	0.1945
♀	19	255.57	288.29	359.21	443.44	494.03	0.1679	0.2001
♀	20	256.53	288.97	359.06	441.97	491.61	0.1657	0.2088
♂	8	106.54	120.47	152.83	195.44	223.38	0.1887	-0.1372
♂	9	122.31	139.42	179.12	231.11	264.98	0.1972	-0.0680
♂	10	138.65	159.45	207.54	269.96	310.20	0.2054	0.0092
♂	11	158.23	183.72	242.07	316.50	363.67	0.2122	0.1047
♂	12	182.39	213.57	283.76	370.83	424.69	0.2150	0.2171
♂	13	211.59	248.95	331.04	429.43	488.63	0.2121	0.3333
♂	14	244.02	287.05	379.18	485.90	548.45	0.2044	0.4395
♂	15	275.67	323.01	422.28	534.31	598.74	0.1953	0.5176
♂	16	302.18	352.00	455.19	569.99	635.36	0.1869	0.5557
♂	17	320.49	370.84	474.86	590.29	655.93	0.1804	0.5503
♂	18	330.09	379.66	482.67	597.92	663.88	0.1764	0.5042
♂	19	333.04	381.40	483.05	598.57	665.47	0.1753	0.4315
♂	20	333.53	380.72	481.31	597.82	666.30	0.1757	0.3480

LBMMEXICAN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	1.70	1.92	2.49	3.39	4.12	0.2189	-0.6556
♀	9	2.13	2.41	3.12	4.23	5.11	0.2176	-0.6145
♀	10	2.57	2.90	3.75	5.08	6.10	0.2161	-0.5805
♀	11	2.99	3.38	4.36	5.88	7.04	0.2142	-0.5645
♀	12	3.37	3.80	4.89	6.56	7.85	0.2116	-0.5681
♀	13	3.67	4.13	5.29	7.08	8.44	0.2084	-0.5864
♀	14	3.88	4.35	5.55	7.39	8.80	0.2050	-0.6071
♀	15	4.00	4.48	5.70	7.56	8.98	0.2024	-0.6201
♀	16	4.06	4.55	5.78	7.66	9.09	0.2011	-0.6239
♀	17	4.10	4.60	5.84	7.73	9.18	0.2012	-0.6196
♀	18	4.13	4.64	5.90	7.82	9.28	0.2023	-0.6068
♀	19	4.16	4.67	5.95	7.91	9.39	0.2037	-0.5909
♀	20	4.18	4.70	6.00	7.98	9.48	0.2051	-0.5755
♂	8	2.08	2.36	3.02	3.93	4.56	0.1997	-0.2312
♂	9	2.38	2.72	3.55	4.68	5.45	0.2113	-0.1724
♂	10	2.69	3.11	4.11	5.49	6.42	0.2215	-0.1161
♂	11	3.06	3.56	4.76	6.40	7.50	0.2286	-0.0673
♂	12	3.52	4.11	5.50	7.39	8.65	0.2293	-0.0291
♂	13	4.11	4.77	6.32	8.39	9.74	0.2203	-0.0040
♂	14	4.75	5.47	7.12	9.27	10.66	0.2059	0.0095
♂	15	5.32	6.07	7.80	10.00	11.41	0.1947	0.0151
♂	16	5.74	6.52	8.28	10.51	11.92	0.1862	0.0187
♂	17	6.02	6.80	8.55	10.73	12.10	0.1779	0.0272
♂	18	6.12	6.90	8.63	10.78	12.11	0.1741	0.0426
♂	19	6.06	6.85	8.60	10.78	12.13	0.1772	0.0630
♂	20	5.94	6.74	8.55	10.79	12.18	0.1833	0.0845

LBMBLACK

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	2.08	2.55	3.56	4.69	5.34	0.2349	0.6019
♀	9	2.58	3.11	4.26	5.61	6.42	0.2293	0.4289
♀	10	3.10	3.67	4.94	6.52	7.49	0.2237	0.2533
♀	11	3.62	4.21	5.59	7.36	8.51	0.2178	0.0740
♀	12	4.10	4.71	6.15	8.09	9.38	0.2111	-0.0971
♀	13	4.50	5.12	6.61	8.66	10.07	0.2050	-0.2337
♀	14	4.79	5.42	6.95	9.08	10.58	0.2008	-0.3160
♀	15	4.98	5.62	7.18	9.38	10.92	0.1994	-0.3363
♀	16	5.05	5.72	7.33	9.60	11.17	0.2013	-0.3061
♀	17	5.06	5.75	7.42	9.76	11.36	0.2058	-0.2513
♀	18	5.01	5.74	7.47	9.88	11.52	0.2118	-0.1925
♀	19	4.94	5.70	7.50	9.97	11.65	0.2183	-0.1270
♀	20	4.87	5.65	7.52	10.06	11.75	0.2247	-0.0614
♂	8	2.55	2.84	3.54	4.52	5.20	0.1798	-0.4489
♂	9	2.87	3.22	4.07	5.26	6.09	0.1908	-0.3692
♂	10	3.20	3.63	4.66	6.10	7.10	0.2026	-0.2789
♂	11	3.55	4.08	5.35	7.07	8.22	0.2141	-0.1167
♂	12	3.97	4.64	6.20	8.20	9.48	0.2220	0.1104
♂	13	4.51	5.34	7.20	9.48	10.87	0.2235	0.2848
♂	14	5.15	6.10	8.19	10.69	12.19	0.2179	0.3555
♂	15	5.83	6.83	9.02	11.65	13.23	0.2077	0.3163
♂	16	6.46	7.43	9.59	12.25	13.89	0.1951	0.1767
♂	17	6.90	7.83	9.92	12.54	14.18	0.1837	0.0377
♂	18	7.15	8.04	10.05	12.61	14.23	0.1758	-0.0514
♂	19	7.30	8.17	10.13	12.64	14.24	0.1704	-0.1198
♂	20	7.44	8.28	10.20	12.67	14.26	0.1658	-0.1845

us.ref

Citations

• Sharma, A. K., Metzger, D. L., Daymont, C., Hadjiyannakis, S. & Rodd, C. J. LMS tables for waist-circumference and waist-height ratio Z-scores in children aged 5-19 y in NHANES III: association with cardio-metabolic risks. Pediatric research (2015)

WC_SHARMA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	45.20	47.26	52.30	59.94	66.04	-2.52	0.090
♀	6	46.41	48.65	54.20	62.92	70.23	-2.53	0.097
♀	7	47.74	50.15	56.20	65.99	74.53	-2.53	0.103
♀	8	49.05	51.63	58.20	69.12	79.00	-2.51	0.109
♀	9	50.33	53.09	60.20	72.31	83.66	-2.48	0.115
♀	10	51.65	54.58	62.20	75.40	88.10	-2.44	0.120
♀	11	53.01	56.11	64.20	78.39	92.28	-2.40	0.124
♀	12	54.35	57.62	66.20	81.40	96.48	-2.35	0.128
♀	13	55.66	59.11	68.19	84.43	100.68	-2.29	0.132
♀	14	56.93	60.55	70.09	87.16	104.21	-2.22	0.135
♀	15	58.09	61.89	71.90	89.78	107.60	-2.15	0.138
♀	16	59.15	63.13	73.60	92.26	110.72	-2.07	0.141
♀	17	60.18	64.34	75.30	94.72	113.70	-1.98	0.144
♀	18	61.15	65.52	77.00	97.11	116.39	-1.87	0.147
♀	19	62.02	66.61	78.60	99.38	118.86	-1.76	0.150
♂	5	45.98	47.82	52.30	59.10	64.57	-2.96	0.080
♂	6	47.25	49.24	54.20	62.12	68.98	-3.07	0.087
♂	7	48.57	50.70	56.10	65.12	73.45	-3.14	0.093
♂	8	49.96	52.23	58.09	68.32	78.40	-3.20	0.099
♂	9	51.30	53.70	59.99	71.33	83.07	-3.23	0.104
♂	10	52.70	55.24	61.98	74.49	87.99	-3.23	0.109
♂	11	54.14	56.82	63.97	77.52	92.56	-3.21	0.113
♂	12	55.55	58.37	65.97	80.57	97.15	-3.17	0.117
♂	13	57.06	60.01	67.97	83.29	100.71	-3.11	0.119
♂	14	58.39	61.49	69.86	86.05	104.53	-3.03	0.122
♂	15	59.92	63.16	71.87	88.57	107.36	-2.94	0.123
♂	16	61.26	64.66	73.77	91.11	110.38	-2.83	0.125
♂	17	62.57	66.12	75.58	93.31	112.54	-2.71	0.126
♂	18	63.94	67.65	77.49	95.59	114.67	-2.58	0.127
♂	19	65.19	69.07	79.29	97.69	116.38	-2.43	0.128

WHTR_SHARMA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	0.42	0.44	0.49	0.55	0.60	-2.16	0.087
♀	6	0.41	0.43	0.48	0.55	0.60	-2.13	0.094
♀	7	0.40	0.42	0.47	0.55	0.60	-2.09	0.100
♀	8	0.39	0.41	0.46	0.54	0.61	-2.06	0.106
♀	9	0.38	0.40	0.46	0.54	0.61	-2.03	0.112
♀	10	0.38	0.40	0.46	0.55	0.62	-2.01	0.117
♀	11	0.37	0.40	0.45	0.55	0.63	-2.00	0.121
♀	12	0.37	0.39	0.45	0.55	0.63	-2.00	0.125
♀	13	0.37	0.39	0.45	0.55	0.65	-2.00	0.129
♀	14	0.37	0.39	0.45	0.56	0.66	-2.01	0.132
♀	15	0.37	0.39	0.46	0.57	0.67	-2.02	0.135
♀	16	0.37	0.40	0.46	0.57	0.68	-2.03	0.137
♀	17	0.37	0.40	0.46	0.58	0.69	-2.03	0.139
♀	18	0.38	0.40	0.47	0.59	0.70	-2.03	0.142
♀	19	0.38	0.40	0.47	0.59	0.72	-2.02	0.144
♂	5	0.43	0.44	0.48	0.54	0.59	-2.88	0.078
♂	6	0.41	0.43	0.47	0.54	0.59	-2.91	0.084
♂	7	0.40	0.42	0.47	0.54	0.60	-2.94	0.091
♂	8	0.40	0.41	0.46	0.54	0.61	-2.97	0.096
♂	9	0.39	0.41	0.45	0.53	0.61	-2.99	0.101
♂	10	0.38	0.40	0.45	0.54	0.62	-3.01	0.106
♂	11	0.38	0.40	0.45	0.54	0.63	-3.02	0.110
♂	12	0.37	0.39	0.44	0.54	0.64	-3.02	0.114
♂	13	0.37	0.39	0.44	0.54	0.64	-3.00	0.116
♂	14	0.37	0.39	0.44	0.54	0.65	-2.97	0.118
♂	15	0.37	0.39	0.44	0.54	0.65	-2.93	0.120
♂	16	0.37	0.39	0.44	0.54	0.65	-2.87	0.121
♂	17	0.37	0.39	0.45	0.55	0.66	-2.80	0.122
♂	18	0.37	0.39	0.45	0.55	0.66	-2.73	0.122
♂	19	0.37	0.40	0.45	0.55	0.66	-2.66	0.123

Country: Mexico

valencia_nc.ref

Citations

• Valencia-Sosa E, Chávez-Palencia C, Vallarta-Robledo JR, et al. Percentile Reference Values for the Neck Circumference of Mexican Children. Children 2021;8(5):407.

NC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	6	23.68	24.37	25.75	27.22	28.03	-0.1859	0.0431
♂	7	24.15	24.84	26.25	27.80	28.69	-0.7149	0.0439
♂	8	24.66	25.36	26.81	28.46	29.43	-1.2831	0.0449
♂	9	25.22	25.92	27.41	29.17	30.25	-1.8881	0.0459
♂	10	25.83	26.53	28.06	29.95	31.16	-2.5277	0.0470
♂	11	26.48	27.18	28.76	30.81	32.18	-3.2002	0.0482
♀	6	22.58	23.26	24.60	26.01	26.78	0.1292	0.0435
♀	7	23.14	23.78	25.13	26.68	27.59	-1.4136	0.0447
♀	8	23.70	24.34	25.72	27.40	28.47	-2.4229	0.0460
♀	9	24.24	24.93	26.40	28.16	29.26	-2.0373	0.0474
♀	10	24.79	25.59	27.23	29.02	30.04	-0.5193	0.0490
♀	11	25.44	26.41	28.25	30.08	31.05	1.0549	0.0507

Region international

Region South America

Country: Colombia

colombia_sf.ref

Citations

• Ramírez-Vélez, R. et al. Triceps and Subscapular Skinfold Thickness Percentiles and Cut-Offs for Overweight and Obesity in a Population-Based Sample of Schoolchildren and Adolescents in Bogota, Colombia. Nutrients 8, (2016).

SFSUBSCAP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	9	5.11	6.42	10	15.76	20.15	-0.06	0.35
♂	18	7.10	9.17	15	24.92	32.80	-0.06	0.39
♀	9	6.39	7.70	12	23.30	40.33	-0.74	0.41
♀	18	9.36	11.84	20	39.57	63.07	-0.44	0.46

SFTRICEPS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	9	5.19	6.42	10.00	16.68	22.65	-0.30	0.37
♂	18	6.17	7.97	14.00	28.69	46.24	-0.38	0.49
♀	9	10.17	11.82	16.99	29.84	48.72	-0.97	0.34
♀	18	12.01	14.19	21.37	41.47	76.46	-0.93	0.39

SFSUM_TRISUB

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	9	11.93	14.76	23.00	38.36	52.11	-0.30	0.37
♂	18	12.35	15.94	28.00	57.38	92.49	-0.38	0.49
♀	9	16.74	19.46	27.99	49.15	80.24	-0.97	0.34
♀	18	22.45	26.52	39.94	77.51	142.92	-0.93	0.39

Country: Chile

gomez_bmitmi.ref

Citations

• Gómez-Campos R, Vidal-Espinoza R, Marques de Moraes A, et al. Comparison of Anthropometric Indicators That Assess Nutritional Status From Infancy to Old Age and Proposal of Percentiles for a Regional Sample of Chile. Frontiers in Nutrition [Internet] 2021 [cited 2022 May 28];8. Available from: https://www.frontiersin.org/article/10.3389/fnut.2021.657491

TMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	10.42	11.71	14.90	19.60	23.05	-0.50	0.20
♂	6	10.28	11.55	14.70	19.34	22.74	-0.50	0.20
♂	7	10.20	11.42	14.50	19.15	22.67	-0.60	0.20
♂	8	10.04	11.22	14.20	18.84	22.45	-0.70	0.20
♂	9	9.90	11.06	14.00	18.57	22.14	-0.70	0.20
♂	10	9.81	10.93	13.80	18.38	22.09	-0.80	0.20
♂	11	9.72	10.80	13.60	18.20	22.05	-0.90	0.20
♂	12	9.58	10.64	13.40	17.93	21.73	-0.90	0.20
♂	13	9.48	10.51	13.20	17.75	21.71	-1.00	0.20
♂	14	9.53	10.53	13.20	17.84	22.05	-1.10	0.20
♂	15	9.57	10.56	13.20	17.93	22.42	-1.20	0.20
♂	16	9.72	10.72	13.40	18.20	22.76	-1.20	0.20
♂	17	9.86	10.88	13.60	18.47	23.10	-1.20	0.20
♂	18	10.01	11.04	13.80	18.75	23.44	-1.20	0.20
♂	19	11.82	12.52	14.10	16.21	17.63	-1.20	0.10
♂	20	12.16	12.87	14.50	16.66	18.13	-1.20	0.10
♂	30	12.50	13.23	14.90	17.12	18.63	-1.20	0.10
♂	40	12.91	13.67	15.40	17.70	19.26	-1.20	0.10
♂	50	13.25	14.02	15.80	18.16	19.76	-1.20	0.10
♂	60	13.50	14.29	16.10	18.50	20.13	-1.20	0.10
♂	70	13.84	14.65	16.50	18.96	20.63	-1.20	0.10
♂	80	14.17	15.00	16.90	19.42	21.13	-1.20	0.10
♀	5	10.68	11.96	14.73	18.03	20.01	0.15	0.16
♀	6	10.58	11.80	14.49	17.78	19.81	0.02	0.16
♀	7	10.48	11.65	14.26	17.55	19.63	-0.12	0.16
♀	8	10.42	11.53	14.08	17.38	19.53	-0.26	0.16
♀	9	10.37	11.45	13.94	17.27	19.49	-0.40	0.16
♀	10	10.38	11.42	13.87	17.23	19.54	-0.53	0.16
♀	11	10.42	11.44	13.86	17.28	19.70	-0.66	0.16
♀	12	10.52	11.52	13.93	17.42	19.96	-0.78	0.16
♀	13	10.50	11.52	14.06	17.91	20.88	-0.89	0.17
♀	14	10.65	11.66	14.21	18.15	21.25	-0.97	0.17
♀	15	10.79	11.80	14.36	18.38	21.62	-1.04	0.17
♀	16	10.90	11.91	14.49	18.57	21.88	-1.07	0.17
♀	17	10.99	12.01	14.61	18.73	22.08	-1.08	0.17
♀	18	11.10	12.13	14.76	18.91	22.26	-1.06	0.17
♀	19	11.26	12.32	15.00	19.18	22.52	-1.01	0.17
♀	20	11.53	12.64	15.41	19.66	22.98	-0.94	0.17
♀	30	11.93	13.10	16.00	20.35	23.65	-0.84	0.17
♀	40	12.38	13.63	16.68	21.15	24.43	-0.73	0.17
♀	50	12.83	14.16	17.38	21.95	25.21	-0.60	0.17
♀	60	13.25	14.67	18.06	22.72	25.93	-0.46	0.17
♀	70	13.63	15.15	18.71	23.44	26.60	-0.31	0.17
♀	80	13.99	15.62	19.35	24.16	27.27	-0.17	0.17

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	11.46	13.25	16.80	20.56	22.63	0.74	0.17
♂	6	12.05	13.75	17.30	21.29	23.59	0.46	0.17
♂	7	12.55	14.17	17.70	21.91	24.45	0.19	0.17
♂	8	13.11	14.67	18.20	22.68	25.54	-0.10	0.17
♂	9	13.61	15.14	18.70	23.43	26.56	-0.30	0.17
♂	10	14.11	15.61	19.20	24.18	27.64	-0.50	0.17
♂	11	14.53	16.00	19.60	24.83	28.64	-0.70	0.17
♂	12	14.96	16.44	20.10	25.54	29.61	-0.80	0.17
♂	13	15.68	17.09	20.60	25.91	30.01	-1.00	0.16
♂	14	16.19	17.62	21.20	26.75	31.14	-1.10	0.16
♂	15	16.71	18.15	21.80	27.59	32.31	-1.20	0.16
♂	16	17.46	18.87	22.40	27.95	32.44	-1.30	0.15
♂	17	17.85	19.29	22.90	28.57	33.17	-1.30	0.15
♂	18	18.37	19.82	23.50	29.40	34.32	-1.40	0.15
♂	19	19.03	20.45	24.00	29.51	33.93	-1.40	0.14
♂	20	19.45	20.94	24.60	30.18	34.54	-1.30	0.14
♂	30	19.93	21.45	25.20	30.91	35.38	-1.30	0.14
♂	40	20.32	21.87	25.70	31.53	36.08	-1.30	0.14
♂	80	21.94	23.54	27.40	33.00	37.14	-1.20	0.13
♀	5	12.14	13.44	16.40	20.26	22.77	-0.28	0.16
♀	6	12.48	13.79	16.81	20.80	23.43	-0.35	0.16
♀	7	12.66	14.04	17.29	21.73	24.77	-0.43	0.17
♀	8	13.12	14.52	17.85	22.48	25.70	-0.50	0.17
♀	9	13.63	15.06	18.49	23.34	26.78	-0.58	0.17
♀	10	14.21	15.66	19.19	24.29	27.98	-0.67	0.17
♀	11	14.80	16.28	19.92	25.27	29.23	-0.75	0.17
♀	12	15.38	16.89	20.63	26.24	30.50	-0.84	0.17
♀	13	15.92	17.46	21.29	27.15	31.69	-0.92	0.17
♀	14	16.38	17.93	21.85	27.92	32.71	-0.98	0.17
♀	15	16.75	18.32	22.30	28.55	33.57	-1.04	0.17
♀	16	17.03	18.62	22.65	29.03	34.20	-1.07	0.17
♀	17	17.52	19.06	22.94	28.93	33.67	-1.09	0.16
♀	18	17.74	19.31	23.24	29.30	34.08	-1.08	0.16
♀	19	18.02	19.63	23.64	29.77	34.55	-1.04	0.16
♀	20	18.44	20.10	24.23	30.47	35.27	-0.99	0.16
♀	30	18.97	20.71	24.99	31.36	36.15	-0.91	0.16
♀	40	19.54	21.38	25.84	32.34	37.10	-0.81	0.16
♀	50	20.09	22.03	26.68	33.29	38.01	-0.70	0.16
♀	60	20.59	22.64	27.48	34.18	38.82	-0.57	0.16
♀	70	21.04	23.20	28.23	35.00	39.56	-0.44	0.16
♀	80	21.46	23.73	28.95	35.78	40.26	-0.31	0.16

Country: Brazil

ripka_bf.ref

Citations

• Ripka, W.L. et al. (2020) ‘Lean mass reference curves in adolescents using dual-energy x-ray absorptiometry (DXA)’, PLOS ONE, 15(2), p. e0228646. doi:10.1371/journal.pone.0228646.

ALM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	12	9.92	11.05	13.55	16.65	18.58	0.16	-0.04
♀	13	10.26	11.48	14.35	18.23	20.84	0.18	-0.30
♀	14	9.98	11.20	14.13	18.25	21.13	0.19	-0.39
♀	15	10.28	11.57	14.63	18.85	21.73	0.19	-0.31
♀	16	10.65	12.02	15.12	19.06	21.57	0.18	-0.04
♀	17	10.75	12.34	15.58	19.12	21.12	0.17	0.59
♂	12	9.08	10.25	13.18	17.62	20.97	0.21	-0.53
♂	13	11.21	12.90	16.72	21.54	24.56	0.20	0.10
♂	14	13.43	15.60	20.02	24.83	27.53	0.18	0.63
♂	15	14.49	16.75	21.05	25.38	27.69	0.16	0.96
♂	16	15.95	18.20	22.28	26.20	28.23	0.14	1.22
♂	17	16.70	18.94	22.90	26.60	28.47	0.13	1.41

LMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	12	10.88	11.74	13.64	15.98	17.43	0.12	-0.35
♀	13	11.10	11.91	13.76	16.22	17.88	0.12	-0.83
♀	14	11.43	12.34	14.43	17.25	19.16	0.13	-0.77
♀	15	10.62	11.53	13.56	16.09	17.69	0.13	-0.33
♀	16	11.38	12.34	14.40	16.79	18.21	0.12	0.02
♀	17	12.01	13.05	15.24	17.75	19.22	0.12	0.12
♂	12	10.42	11.41	13.51	15.93	17.35	0.13	0.15
♂	13	10.85	11.97	14.24	16.71	18.10	0.13	0.49
♂	14	12.25	13.51	15.93	18.41	19.74	0.12	0.86
♂	15	12.73	13.95	16.24	18.52	19.73	0.11	1.03
♂	16	13.01	14.15	16.27	18.33	19.40	0.10	1.21
♂	17	13.88	15.17	17.49	19.67	20.78	0.10	1.47

FM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	12	8.21	10.43	16.24	24.95	31.15	0.34	0.07
♀	13	9.17	11.35	16.93	25.13	30.91	0.31	0.03
♀	14	9.73	12.02	17.90	26.61	32.80	0.31	0.01
♀	15	8.72	10.86	16.26	24.04	29.43	0.31	0.08
♀	16	11.31	14.11	21.16	31.24	38.17	0.31	0.10
♀	17	11.26	13.82	20.48	30.59	37.96	0.31	-0.05
♂	12	6.21	7.42	11.24	20.55	33.09	0.38	-0.74
♂	13	6.97	8.06	11.45	19.82	32.03	0.33	-1.01
♂	14	7.33	8.29	11.16	17.81	26.94	0.28	-1.21
♂	15	7.31	8.18	10.70	16.13	22.90	0.25	-1.28
♂	16	7.28	8.14	10.64	16.07	22.93	0.25	-1.30
♂	17	8.08	9.01	11.76	17.83	25.70	0.25	-1.34

LM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	12	23.35	26.46	32.86	39.94	43.95	0.16	0.51
♀	13	25.90	28.38	34.12	41.73	46.79	0.15	-0.46
♀	14	27.62	29.78	35.05	42.86	48.77	0.14	-1.16
♀	15	27.96	30.15	35.49	43.39	49.35	0.14	-1.15
♀	16	28.31	30.72	36.36	44.07	49.39	0.14	-0.73
♀	17	29.42	32.29	38.58	46.23	50.94	0.14	-0.09
♂	12	21.56	24.48	31.42	40.89	47.30	0.20	-0.21
♂	13	25.76	29.81	38.49	48.58	54.53	0.19	0.38
♂	14	30.29	35.11	44.59	54.52	59.94	0.17	0.79
♂	15	34.30	38.64	46.98	55.49	60.05	0.14	0.89
♂	16	36.97	41.12	49.18	57.50	62.00	0.13	0.81
♂	17	40.75	44.65	52.44	60.78	65.41	0.12	0.56

Region International

Country: UK

ukwho.ref

Citations

• Wright, Charlotte M., et a,Practice pointer: Using the new UK-WHO growth charts. British Medical Journal 340.c1140 (2010): 647-650. Preterm British 1990, 0-4 WHO2006, 4-18 British1990

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0383299	11.25	12.04	13.64	15.35	16.30	0.4177	0.0945
♂	0.0574949	11.80	12.61	14.22	15.97	16.95	0.3449	0.0923
♂	0.0766598	12.31	13.12	14.77	16.56	17.57	0.2881	0.0907
♂	0.0833333	12.47	13.29	14.94	16.75	17.76	0.2708	0.0903
♂	0.0958248	12.73	13.56	15.24	17.06	18.09	0.2409	0.0895
♂	0.1149897	13.08	13.92	15.61	17.47	18.52	0.2003	0.0886
♂	0.1341547	13.37	14.21	15.92	17.79	18.86	0.1645	0.0878
♂	0.1533196	13.60	14.45	16.17	18.07	19.15	0.1324	0.0872
♂	0.1666667	13.74	14.59	16.32	18.23	19.31	0.1118	0.0868
♂	0.1724846	13.80	14.65	16.38	18.29	19.38	0.1032	0.0866
♂	0.1916496	13.96	14.81	16.55	18.47	19.57	0.0766	0.0861
♂	0.2108145	14.10	14.95	16.69	18.62	19.73	0.0520	0.0857
♂	0.2299795	14.21	15.06	16.80	18.74	19.85	0.0291	0.0853
♂	0.2491444	14.30	15.15	16.90	18.84	19.95	0.0077	0.0850
♂	0.2500000	14.31	15.15	16.90	18.84	19.96	0.0068	0.0849
♂	0.3333333	14.57	15.42	17.16	19.11	20.24	-0.0727	0.0838
♂	0.4166667	14.72	15.56	17.29	19.25	20.38	-0.1370	0.0830
♂	0.5000000	14.79	15.62	17.34	19.29	20.43	-0.1913	0.0823
♂	0.5833333	14.81	15.62	17.33	19.27	20.41	-0.2385	0.0818
♂	0.6666667	14.77	15.58	17.26	19.19	20.33	-0.2802	0.0814
♂	0.7500000	14.70	15.50	17.17	19.08	20.20	-0.3176	0.0810
♂	0.8333333	14.62	15.40	17.05	18.94	20.06	-0.3516	0.0807
♂	0.9166667	14.52	15.30	16.92	18.80	19.91	-0.3828	0.0804
♂	1.0000000	14.43	15.19	16.80	18.66	19.76	-0.4115	0.0801
♂	2.0000000	13.61	14.29	15.74	17.44	18.47	-0.6473	0.0777
♂	2.0000000	13.85	14.54	16.02	17.76	18.80	-0.6187	0.0779
♂	3.0000000	13.40	14.11	15.60	17.30	18.29	-0.3101	0.0793
♂	4.0000000	13.11	13.82	15.33	17.08	18.11	-0.3622	0.0824
♂	4.0000000	13.73	14.36	15.75	17.50	18.62	-1.2910	0.0768
♂	5.0000000	13.53	14.15	15.55	17.34	18.52	-1.4810	0.0786
♂	6.0000000	13.41	14.05	15.50	17.43	18.74	-1.6340	0.0833
♂	7.0000000	13.34	14.01	15.56	17.71	19.23	-1.7450	0.0902
♂	8.0000000	13.37	14.07	15.75	18.15	19.91	-1.8180	0.0975
♂	9.0000000	13.49	14.24	16.04	18.69	20.71	-1.8540	0.1039
♂	10.0000000	13.72	14.51	16.42	19.30	21.55	-1.8570	0.1089
♂	11.0000000	14.04	14.86	16.89	19.97	22.41	-1.8370	0.1125
♂	12.0000000	14.43	15.30	17.43	20.68	23.27	-1.7990	0.1149
♂	13.0000000	14.89	15.80	18.04	21.44	24.13	-1.7500	0.1163
♂	14.0000000	15.39	16.34	18.67	22.20	24.97	-1.6970	0.1170
♂	15.0000000	15.90	16.89	19.32	22.96	25.78	-1.6430	0.1172
♂	16.0000000	16.39	17.43	19.94	23.67	26.53	-1.5900	0.1171
♂	17.0000000	16.86	17.93	20.52	24.32	27.21	-1.5380	0.1168
♂	18.0000000	17.30	18.40	21.05	24.92	27.82	-1.4880	0.1164
♂	19.0000000	17.70	18.83	21.54	25.46	28.36	-1.4390	0.1159
♂	20.0000000	18.06	19.22	21.99	25.95	28.86	-1.3920	0.1155
♀	0.0383299	11.00	11.82	13.45	15.18	16.14	0.5082	0.0974
♀	0.0574949	11.45	12.29	13.95	15.74	16.73	0.4263	0.0965
♀	0.0766598	11.87	12.72	14.42	16.26	17.29	0.3637	0.0958
♀	0.0833333	12.00	12.85	14.57	16.42	17.47	0.3448	0.0956
♀	0.0958248	12.22	13.08	14.82	16.70	17.76	0.3124	0.0952
♀	0.1149897	12.51	13.38	15.14	17.06	18.14	0.2688	0.0947
♀	0.1341547	12.75	13.63	15.41	17.36	18.46	0.2306	0.0943
♀	0.1533196	12.96	13.84	15.63	17.61	18.73	0.1966	0.0939
♀	0.1666667	13.08	13.97	15.77	17.76	18.89	0.1749	0.0937
♀	0.1724846	13.13	14.02	15.82	17.82	18.96	0.1658	0.0936
♀	0.1916496	13.28	14.17	15.99	18.00	19.15	0.1377	0.0933
♀	0.2108145	13.41	14.30	16.13	18.16	19.32	0.1118	0.0930
♀	0.2299795	13.53	14.42	16.25	18.29	19.46	0.0877	0.0928
♀	0.2491444	13.63	14.52	16.35	18.40	19.58	0.0652	0.0925
♀	0.2500000	13.63	14.52	16.36	18.41	19.59	0.0643	0.0925
♀	0.3333333	13.93	14.82	16.67	18.75	19.96	-0.0191	0.0917
♀	0.4166667	14.11	14.99	16.84	18.93	20.15	-0.0864	0.0910
♀	0.5000000	14.20	15.07	16.91	19.00	20.23	-0.1429	0.0904
♀	0.5833333	14.21	15.08	16.90	18.99	20.22	-0.1916	0.0898
♀	0.6666667	14.18	15.04	16.84	18.91	20.14	-0.2344	0.0894
♀	0.7500000	14.12	14.96	16.74	18.80	20.02	-0.2725	0.0890
♀	0.8333333	14.03	14.86	16.62	18.65	19.87	-0.3068	0.0886
♀	0.9166667	13.94	14.75	16.49	18.50	19.71	-0.3381	0.0883
♀	1.0000000	13.84	14.65	16.36	18.35	19.55	-0.3667	0.0880
♀	2.0000000	13.13	13.85	15.41	17.25	18.38	-0.5989	0.0854
♀	2.0000000	13.39	14.12	15.69	17.54	18.67	-0.5684	0.0845
♀	3.0000000	13.12	13.85	15.40	17.24	18.36	-0.5684	0.0853
♀	4.0000000	12.86	13.62	15.26	17.23	18.44	-0.5684	0.0917
♀	4.0000000	13.39	14.09	15.66	17.65	18.94	-1.1510	0.0873
♀	5.0000000	13.13	13.85	15.48	17.62	19.04	-1.2200	0.0933
♀	6.0000000	12.99	13.74	15.48	17.83	19.44	-1.2770	0.1007
♀	7.0000000	13.00	13.80	15.68	18.28	20.12	-1.3200	0.1085
♀	8.0000000	13.12	13.97	15.99	18.87	20.96	-1.3440	0.1157
♀	9.0000000	13.34	14.24	16.40	19.53	21.85	-1.3480	0.1214
♀	10.0000000	13.66	14.61	16.90	20.25	22.77	-1.3390	0.1255
♀	11.0000000	14.08	15.07	17.48	21.02	23.70	-1.3220	0.1279
♀	12.0000000	14.56	15.60	18.12	21.82	24.62	-1.3020	0.1290
♀	13.0000000	15.08	16.16	18.77	22.61	25.49	-1.2810	0.1292
♀	14.0000000	15.58	16.69	19.39	23.34	26.29	-1.2610	0.1288
♀	15.0000000	16.03	17.18	19.95	23.98	26.97	-1.2420	0.1282
♀	16.0000000	16.43	17.61	20.44	24.53	27.55	-1.2250	0.1276
♀	17.0000000	16.77	17.97	20.85	24.99	28.02	-1.2090	0.1269
♀	18.0000000	17.06	18.28	21.19	25.37	28.42	-1.1940	0.1263
♀	19.0000000	17.30	18.53	21.48	25.69	28.75	-1.1790	0.1258
♀	20.0000000	17.51	18.76	21.73	25.96	29.03	-1.1650	0.1253

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	-0.2874743	29.78	31.73	35.42	39.12	41.07	1	0.0813
♂	-0.2683094	30.81	32.75	36.42	40.09	42.04	1	0.0786
♂	-0.2491444	31.86	33.79	37.43	41.07	43.00	1	0.0759
♂	-0.2299795	32.92	34.83	38.43	42.03	43.94	1	0.0731
♂	-0.2108145	34.01	35.89	39.44	42.99	44.87	1	0.0703
♂	-0.1916496	35.15	36.99	40.48	43.97	45.81	1	0.0672
♂	-0.1724846	36.36	38.17	41.58	44.99	46.80	1	0.0640
♂	-0.1533196	37.63	39.39	42.72	46.05	47.81	1	0.0608
♂	-0.1341547	38.92	40.63	43.87	47.11	48.82	1	0.0576
♂	-0.1149897	40.21	41.87	45.02	48.16	49.83	1	0.0545
♂	-0.0958248	41.48	43.09	46.14	49.19	50.81	1	0.0516
♂	-0.0766598	42.70	44.27	47.23	50.20	51.77	1	0.0490
♂	-0.0574949	43.87	45.40	48.29	51.17	52.70	1	0.0466
♂	-0.0383299	44.96	46.45	49.28	52.10	53.59	1	0.0447
♂	-0.0191650	45.92	47.39	50.17	52.94	54.41	1	0.0432
♂	0.0000000	46.75	48.20	50.94	53.69	55.14	1	0.0420
♂	0.0191650	47.50	48.93	51.65	54.36	55.80	1	0.0410
♂	0.0383299	48.21	49.63	52.31	54.98	56.40	1	0.0399
♂	0.0383299	48.60	49.90	52.35	54.80	56.09	1	0.0365
♂	0.0574949	49.61	50.92	53.39	55.86	57.17	1	0.0361
♂	0.0766598	50.58	51.90	54.39	56.88	58.19	1	0.0357
♂	0.0833333	50.91	52.23	54.72	57.22	58.54	1	0.0356
♂	0.0958248	51.50	52.83	55.34	57.84	59.17	1	0.0353
♂	0.1149897	52.38	53.71	56.24	58.76	60.09	1	0.0350
♂	0.1341547	53.20	54.55	57.09	59.62	60.97	1	0.0347
♂	0.1533196	53.98	55.34	57.89	60.44	61.79	1	0.0344
♂	0.1666667	54.50	55.86	58.42	60.99	62.35	1	0.0342
♂	0.1724846	54.73	56.09	58.65	61.22	62.58	1	0.0342
♂	0.1916496	55.44	56.81	59.39	61.97	63.34	1	0.0339
♂	0.2108145	56.12	57.50	60.09	62.68	64.06	1	0.0337
♂	0.2299795	56.77	58.15	60.76	63.37	64.75	1	0.0335
♂	0.2491444	57.40	58.78	61.40	64.02	65.41	1	0.0333
♂	0.2500000	57.42	58.81	61.43	64.05	65.44	1	0.0333
♂	0.3333333	59.81	61.22	63.89	66.55	67.96	1	0.0326
♂	0.4166667	61.76	63.20	65.90	68.61	70.04	1	0.0320
♂	0.5000000	63.43	64.88	67.62	70.37	71.82	1	0.0316
♂	0.5833333	64.91	66.38	69.16	71.95	73.42	1	0.0314
♂	0.6666667	66.28	67.77	70.60	73.43	74.92	1	0.0312
♂	0.7500000	67.57	69.09	71.97	74.84	76.37	1	0.0312
♂	0.8333333	68.80	70.35	73.28	76.21	77.76	1	0.0312
♂	0.9166667	69.97	71.55	74.54	77.52	79.10	1	0.0312
♂	1.0000000	71.09	72.70	75.75	78.79	80.41	1	0.0314
♂	2.0000000	81.83	83.90	87.82	91.73	93.80	1	0.0348
♂	2.0000000	81.13	83.20	87.12	91.03	93.10	1	0.0351
♂	3.0000000	88.82	91.33	96.08	100.83	103.35	1	0.0386
♂	4.0000000	95.11	97.95	103.33	108.70	111.55	1	0.0406
♂	4.0000000	94.44	97.23	102.49	107.75	110.54	1	0.0401
♂	5.0000000	100.72	103.79	109.59	115.39	118.46	1	0.0413
♂	6.0000000	106.41	109.70	115.93	122.16	125.45	1	0.0419
♂	7.0000000	111.79	115.29	121.90	128.51	132.01	1	0.0423
♂	8.0000000	117.12	120.83	127.85	134.87	138.58	1	0.0428
♂	9.0000000	121.91	125.85	133.28	140.71	144.65	1	0.0435
♂	10.0000000	126.27	130.47	138.39	146.31	150.51	1	0.0447
♂	11.0000000	130.34	134.85	143.37	151.89	156.40	1	0.0464
♂	12.0000000	134.26	139.14	148.36	157.58	162.46	1	0.0485
♂	13.0000000	139.40	144.72	154.77	164.82	170.14	1	0.0507
♂	14.0000000	146.10	151.73	162.36	172.99	178.62	1	0.0511
♂	15.0000000	153.01	158.52	168.94	179.36	184.87	1	0.0481
♂	16.0000000	158.47	163.64	173.39	183.14	188.31	1	0.0439
♂	17.0000000	161.80	166.69	175.92	185.15	190.04	1	0.0410
♂	18.0000000	163.35	168.11	177.09	186.07	190.83	1	0.0396
♂	19.0000000	163.61	168.34	177.28	186.22	190.95	1	0.0394
♂	20.0000000	163.68	168.41	177.34	186.27	191.00	1	0.0393
♀	-0.2874743	29.11	31.01	34.60	38.18	40.08	1	0.0809
♀	-0.2683094	30.20	32.07	35.60	39.13	40.99	1	0.0774
♀	-0.2491444	31.31	33.14	36.61	40.07	41.91	1	0.0739
♀	-0.2299795	32.46	34.26	37.66	41.06	42.86	1	0.0704
♀	-0.2108145	33.68	35.44	38.77	42.10	43.86	1	0.0670
♀	-0.1916496	34.96	36.68	39.94	43.20	44.92	1	0.0636
♀	-0.1724846	36.28	37.96	41.14	44.32	46.00	1	0.0603
♀	-0.1533196	37.62	39.26	42.35	45.44	47.07	1	0.0569
♀	-0.1341547	38.95	40.54	43.54	46.54	48.12	1	0.0537
♀	-0.1149897	40.26	41.79	44.69	47.59	49.13	1	0.0506
♀	-0.0958248	41.51	42.99	45.79	48.59	50.08	1	0.0477
♀	-0.0766598	42.68	44.11	46.81	49.51	50.94	1	0.0450
♀	-0.0574949	43.76	45.14	47.74	50.34	51.72	1	0.0425
♀	-0.0383299	44.74	46.07	48.58	51.08	52.41	1	0.0403
♀	-0.0191650	45.63	46.91	49.34	51.77	53.05	1	0.0384
♀	0.0000000	46.39	47.65	50.02	52.39	53.64	1	0.0370
♀	0.0191650	47.04	48.28	50.63	52.97	54.21	1	0.0361
♀	0.0383299	47.62	48.86	51.21	53.55	54.79	1	0.0357
♀	0.0383299	47.78	49.07	51.51	53.95	55.24	1	0.0369
♀	0.0574949	48.70	50.00	52.47	54.94	56.24	1	0.0367
♀	0.0766598	49.57	50.89	53.38	55.88	57.20	1	0.0365
♀	0.0833333	49.86	51.18	53.69	56.19	57.52	1	0.0364
♀	0.0958248	50.39	51.72	54.25	56.77	58.10	1	0.0363
♀	0.1149897	51.17	52.52	55.06	57.61	58.96	1	0.0361
♀	0.1341547	51.91	53.27	55.84	58.41	59.77	1	0.0359
♀	0.1533196	52.61	53.98	56.58	59.17	60.54	1	0.0358
♀	0.1666667	53.08	54.46	57.07	59.68	61.06	1	0.0357
♀	0.1724846	53.28	54.66	57.28	59.89	61.28	1	0.0356
♀	0.1916496	53.91	55.31	57.94	60.58	61.98	1	0.0355
♀	0.2108145	54.52	55.92	58.58	61.24	62.65	1	0.0354
♀	0.2299795	55.10	56.51	59.19	61.87	63.29	1	0.0353
♀	0.2491444	55.65	57.08	59.78	62.47	63.90	1	0.0352
♀	0.2500000	55.68	57.11	59.80	62.50	63.93	1	0.0352
♀	0.3333333	57.85	59.32	62.09	64.86	66.33	1	0.0349
♀	0.4166667	59.68	61.19	64.03	66.87	68.38	1	0.0346
♀	0.5000000	61.29	62.83	65.73	68.64	70.17	1	0.0345
♀	0.5833333	62.75	64.32	67.29	70.25	71.83	1	0.0344
♀	0.6666667	64.11	65.72	68.75	71.78	73.39	1	0.0344
♀	0.7500000	65.41	67.05	70.14	73.24	74.88	1	0.0344
♀	0.8333333	66.65	68.32	71.48	74.64	76.32	1	0.0345
♀	0.9166667	67.83	69.54	72.77	76.00	77.71	1	0.0346
♀	1.0000000	68.97	70.72	74.02	77.31	79.06	1	0.0348
♀	2.0000000	80.09	82.28	86.42	90.55	92.74	1	0.0373
♀	2.0000000	79.39	81.58	85.72	89.85	92.04	1	0.0376
♀	3.0000000	87.59	90.17	95.05	99.93	102.51	1	0.0401
♀	4.0000000	94.29	97.21	102.73	108.25	111.17	1	0.0419
♀	4.0000000	93.65	96.38	101.54	106.70	109.43	1	0.0397
♀	5.0000000	100.09	103.13	108.86	114.59	117.63	1	0.0411
♀	6.0000000	105.82	109.11	115.33	121.55	124.84	1	0.0421
♀	7.0000000	111.14	114.65	121.27	127.89	131.40	1	0.0426
♀	8.0000000	116.61	120.33	127.34	134.35	138.07	1	0.0430
♀	9.0000000	121.37	125.33	132.82	140.31	144.27	1	0.0440
♀	10.0000000	125.97	130.28	138.43	146.58	150.89	1	0.0459
♀	11.0000000	130.60	135.28	144.12	152.96	157.64	1	0.0478
♀	12.0000000	135.80	140.63	149.76	158.89	163.72	1	0.0476
♀	13.0000000	141.70	146.40	155.28	164.16	168.86	1	0.0446
♀	14.0000000	146.78	151.22	159.61	168.00	172.44	1	0.0410
♀	15.0000000	149.97	154.19	162.18	170.17	174.39	1	0.0384
♀	16.0000000	151.28	155.41	163.22	171.03	175.16	1	0.0373
♀	17.0000000	151.65	155.75	163.51	171.27	175.37	1	0.0370
♀	18.0000000	151.72	155.82	163.57	171.32	175.42	1	0.0369
♀	19.0000000	151.79	155.89	163.63	171.37	175.47	1	0.0369
♀	20.0000000	151.81	155.90	163.64	171.38	175.47	1	0.0369

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	-0.3258042	0.42	0.49	0.61	0.74	0.80	1.1470	0.1588
♂	-0.3066393	0.48	0.56	0.71	0.86	0.94	1.1260	0.1625
♂	-0.2874743	0.55	0.64	0.82	0.99	1.08	1.1040	0.1663
♂	-0.2683094	0.61	0.72	0.92	1.12	1.23	1.0830	0.1701
♂	-0.2491444	0.68	0.80	1.04	1.27	1.39	1.0610	0.1736
♂	-0.2299795	0.75	0.89	1.16	1.42	1.56	1.0400	0.1766
♂	-0.2108145	0.84	0.99	1.29	1.59	1.74	1.0180	0.1790
♂	-0.1916496	0.93	1.10	1.44	1.77	1.94	0.9970	0.1806
♂	-0.1724846	1.04	1.23	1.61	1.98	2.18	0.9750	0.1809
♂	-0.1533196	1.17	1.39	1.80	2.22	2.44	0.9540	0.1798
♂	-0.1341547	1.33	1.56	2.02	2.48	2.72	0.9320	0.1770
♂	-0.1149897	1.50	1.76	2.25	2.75	3.02	0.9110	0.1726
♂	-0.0958248	1.69	1.96	2.49	3.02	3.31	0.8890	0.1667
♂	-0.0766598	1.89	2.18	2.73	3.29	3.59	0.8680	0.1594
♂	-0.0574949	2.10	2.40	2.96	3.54	3.86	0.8460	0.1512
♂	-0.0383299	2.31	2.61	3.18	3.77	4.09	0.8250	0.1426
♂	-0.0191650	2.51	2.80	3.38	3.97	4.29	0.8030	0.1347
♂	0.0000000	2.69	2.98	3.56	4.15	4.47	0.7820	0.1285
♂	0.0191650	2.84	3.14	3.72	4.32	4.65	0.7600	0.1241
♂	0.0383299	2.98	3.28	3.87	4.48	4.81	0.7390	0.1208
♂	0.0383299	2.81	3.12	3.75	4.48	4.90	0.2581	0.1414
♂	0.0574949	3.07	3.39	4.06	4.83	5.28	0.2442	0.1381
♂	0.0766598	3.32	3.66	4.37	5.17	5.65	0.2331	0.1350
♂	0.0833333	3.41	3.75	4.47	5.29	5.77	0.2297	0.1340
♂	0.0958248	3.57	3.92	4.66	5.50	5.99	0.2237	0.1321
♂	0.1149897	3.80	4.16	4.93	5.80	6.31	0.2155	0.1296
♂	0.1341547	4.01	4.39	5.18	6.08	6.61	0.2081	0.1273
♂	0.1533196	4.21	4.60	5.41	6.34	6.88	0.2014	0.1252
♂	0.1666667	4.34	4.74	5.57	6.51	7.06	0.1970	0.1239
♂	0.1724846	4.40	4.80	5.63	6.58	7.13	0.1952	0.1233
♂	0.1916496	4.57	4.98	5.83	6.80	7.37	0.1894	0.1216
♂	0.2108145	4.74	5.15	6.02	7.01	7.58	0.1840	0.1200
♂	0.2299795	4.89	5.32	6.20	7.21	7.79	0.1789	0.1186
♂	0.2491444	5.04	5.47	6.37	7.39	7.98	0.1740	0.1173
♂	0.2500000	5.04	5.48	6.38	7.40	7.99	0.1738	0.1173
♂	0.3333333	5.59	6.05	7.00	8.08	8.71	0.1553	0.1132
♂	0.4166667	6.02	6.51	7.51	8.64	9.30	0.1395	0.1108
♂	0.5000000	6.38	6.89	7.93	9.12	9.81	0.1257	0.1096
♂	0.5833333	6.68	7.21	8.30	9.53	10.25	0.1134	0.1090
♂	0.6666667	6.94	7.49	8.62	9.89	10.64	0.1021	0.1088
♂	0.7500000	7.18	7.74	8.90	10.22	10.99	0.0917	0.1088
♂	0.8333333	7.39	7.96	9.16	10.53	11.32	0.0820	0.1089
♂	0.9166667	7.59	8.18	9.41	10.82	11.64	0.0730	0.1091
♂	1.0000000	7.78	8.38	9.65	11.09	11.93	0.0644	0.1092
♂	2.0000000	9.72	10.50	12.15	14.07	15.21	-0.0137	0.1143
♂	2.0000000	9.72	10.50	12.15	14.07	15.21	-0.0137	0.1143
♂	3.0000000	11.33	12.29	14.34	16.77	18.22	-0.0689	0.1212
♂	4.0000000	12.78	13.90	16.35	19.28	21.07	-0.1131	0.1276
♂	4.0000000	13.31	14.32	16.55	19.31	21.04	-0.4260	0.1165
♂	5.0000000	14.91	16.06	18.63	21.92	24.04	-0.5670	0.1211
♂	6.0000000	16.51	17.80	20.77	24.69	27.31	-0.7110	0.1270
♂	7.0000000	18.16	19.62	23.05	27.80	31.13	-0.8610	0.1350
♂	8.0000000	19.95	21.61	25.63	31.49	35.84	-1.0050	0.1452
♂	9.0000000	21.83	23.71	28.39	35.53	41.10	-1.0920	0.1552
♂	10.0000000	23.82	25.96	31.35	39.78	46.52	-1.0970	0.1635
♂	11.0000000	25.94	28.39	34.58	44.29	52.05	-1.0180	0.1706
♂	12.0000000	28.13	30.98	38.12	49.04	57.50	-0.8520	0.1769
♂	13.0000000	31.11	34.55	42.97	55.22	64.14	-0.5990	0.1817
♂	14.0000000	34.98	39.18	49.15	62.90	72.33	-0.3510	0.1843
♂	15.0000000	39.58	44.31	55.37	70.16	80.02	-0.2630	0.1791
♂	16.0000000	44.73	49.51	60.59	75.31	85.10	-0.3520	0.1634
♂	17.0000000	49.13	53.72	64.33	78.39	87.75	-0.4890	0.1470
♂	18.0000000	52.02	56.49	66.82	80.54	89.73	-0.5990	0.1379
♂	19.0000000	53.80	58.23	68.45	82.08	91.24	-0.6710	0.1334
♂	20.0000000	54.94	59.34	69.52	83.13	92.31	-0.7180	0.1309
♀	-0.3258042	0.36	0.43	0.56	0.68	0.74	1.3260	0.1738
♀	-0.3066393	0.42	0.50	0.66	0.80	0.88	1.2780	0.1772
♀	-0.2874743	0.48	0.58	0.76	0.93	1.02	1.2290	0.1807
♀	-0.2683094	0.54	0.66	0.87	1.07	1.17	1.1810	0.1843
♀	-0.2491444	0.61	0.74	0.98	1.21	1.33	1.1320	0.1878
♀	-0.2299795	0.68	0.82	1.09	1.36	1.50	1.0840	0.1906
♀	-0.2108145	0.76	0.92	1.22	1.51	1.67	1.0350	0.1921
♀	-0.1916496	0.85	1.03	1.36	1.69	1.87	0.9870	0.1921
♀	-0.1724846	0.96	1.16	1.53	1.90	2.10	0.9380	0.1905
♀	-0.1533196	1.10	1.31	1.71	2.13	2.35	0.8900	0.1873
♀	-0.1341547	1.25	1.48	1.92	2.37	2.62	0.8410	0.1826
♀	-0.1149897	1.42	1.66	2.13	2.63	2.90	0.7930	0.1766
♀	-0.0958248	1.61	1.86	2.36	2.89	3.18	0.7440	0.1694
♀	-0.0766598	1.81	2.07	2.59	3.14	3.45	0.6950	0.1611
♀	-0.0574949	2.02	2.29	2.82	3.38	3.70	0.6470	0.1516
♀	-0.0383299	2.24	2.50	3.03	3.60	3.92	0.5980	0.1417
♀	-0.0191650	2.45	2.71	3.24	3.81	4.13	0.5500	0.1325
♀	0.0000000	2.63	2.89	3.41	3.98	4.30	0.5010	0.1248
♀	0.0191650	2.78	3.04	3.55	4.12	4.43	0.4530	0.1186
♀	0.0383299	2.91	3.16	3.67	4.23	4.54	0.4040	0.1131
♀	0.0383299	2.67	2.96	3.57	4.27	4.69	0.2304	0.1434
♀	0.0574949	2.89	3.19	3.84	4.58	5.01	0.2024	0.1406
♀	0.0766598	3.11	3.42	4.10	4.88	5.34	0.1789	0.1380
♀	0.0833333	3.18	3.50	4.19	4.98	5.45	0.1714	0.1372
♀	0.0958248	3.31	3.64	4.35	5.16	5.64	0.1582	0.1358
♀	0.1149897	3.50	3.85	4.58	5.43	5.93	0.1395	0.1339
♀	0.1341547	3.68	4.04	4.80	5.67	6.19	0.1224	0.1323
♀	0.1533196	3.85	4.22	5.00	5.90	6.43	0.1065	0.1309
♀	0.1666667	3.96	4.34	5.13	6.05	6.60	0.0962	0.1300
♀	0.1724846	4.01	4.38	5.18	6.11	6.66	0.0918	0.1297
♀	0.1916496	4.16	4.54	5.36	6.32	6.88	0.0779	0.1286
♀	0.2108145	4.30	4.69	5.53	6.51	7.09	0.0648	0.1277
♀	0.2299795	4.43	4.83	5.69	6.69	7.28	0.0525	0.1269
♀	0.2491444	4.55	4.96	5.84	6.86	7.47	0.0407	0.1262
♀	0.2500000	4.56	4.97	5.85	6.87	7.48	0.0402	0.1262
♀	0.3333333	5.04	5.48	6.42	7.53	8.19	-0.0050	0.1240
♀	0.4166667	5.43	5.90	6.90	8.08	8.79	-0.0430	0.1227
♀	0.5000000	5.76	6.25	7.30	8.54	9.29	-0.0756	0.1220
♀	0.5833333	6.04	6.55	7.64	8.94	9.73	-0.1039	0.1218
♀	0.6666667	6.28	6.81	7.95	9.31	10.13	-0.1288	0.1218
♀	0.7500000	6.50	7.05	8.23	9.64	10.49	-0.1507	0.1220
♀	0.8333333	6.71	7.27	8.48	9.94	10.83	-0.1700	0.1222
♀	0.9166667	6.89	7.47	8.72	10.22	11.15	-0.1872	0.1225
♀	1.0000000	7.08	7.67	8.95	10.50	11.45	-0.2024	0.1227
♀	2.0000000	9.08	9.83	11.48	13.50	14.77	-0.2941	0.1239
♀	2.0000000	9.08	9.83	11.48	13.50	14.77	-0.2941	0.1239
♀	3.0000000	10.86	11.79	13.85	16.42	18.04	-0.3201	0.1292
♀	4.0000000	12.39	13.52	16.07	19.31	21.38	-0.3361	0.1388
♀	4.0000000	12.87	13.90	16.20	19.13	21.02	-0.5160	0.1244
♀	5.0000000	14.36	15.55	18.30	21.92	24.33	-0.6070	0.1334
♀	6.0000000	15.87	17.25	20.49	24.89	27.92	-0.6840	0.1424
♀	7.0000000	17.55	19.15	22.98	28.38	32.21	-0.7490	0.1522
♀	8.0000000	19.48	21.34	25.89	32.52	37.39	-0.7890	0.1628
♀	9.0000000	21.41	23.56	28.88	36.80	42.74	-0.7850	0.1722
♀	10.0000000	23.55	26.07	32.31	41.66	48.72	-0.7250	0.1812
♀	11.0000000	25.76	28.72	36.03	46.85	54.85	-0.5970	0.1896
♀	12.0000000	28.61	32.04	40.32	51.99	60.18	-0.4180	0.1882
♀	13.0000000	32.68	36.48	45.36	57.19	65.08	-0.2810	0.1752
♀	14.0000000	36.98	40.95	50.05	61.93	69.70	-0.2840	0.1612
♀	15.0000000	40.40	44.35	53.39	65.19	72.93	-0.3780	0.1500
♀	16.0000000	42.57	46.50	55.54	67.42	75.29	-0.4720	0.1446
♀	17.0000000	43.81	47.75	56.84	68.88	76.92	-0.5360	0.1425
♀	18.0000000	44.47	48.41	57.54	69.71	77.87	-0.5720	0.1417
♀	19.0000000	44.81	48.76	57.92	70.15	78.38	-0.5910	0.1414
♀	20.0000000	44.98	48.94	58.10	70.37	78.64	-0.6010	0.1412

Region Africa

Country: Ethiopia

ethiop.ref

Citations

• Amare, E. B. et al. Reference Ranges for Head Circumference in Ethiopian Children 0-2 Years of Age. World Neurosurgery 84, 1566-1571.e2 (2015).

Country: Tunisia

Region East Asia

Country: Japan

japan_lab.ref

Citations

• Isojima, T., Shimatsu, A., Yokoya, S., Chihara, K., Tanaka, T., Hizuka, N., Teramoto, A., Tatsumi, K., Tachibana, K., Katsumata, N., Horikawa, R., 2012. Standardized centile curves and reference intervals of serum insulin-like growth factor-I (IGF-I) levels in a normal Japanese population using the LMS method. Endocrine Journal 59, 771–780. doi:10.1507/endocrj.EJ12-0110

IGF1

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0	12.69	27.86	67.08	116.89	146.87	0.658	0.524
♂	1	15.06	30.42	69.04	117.75	147.06	0.647	0.498
♂	2	18.75	34.76	74.02	123.13	152.65	0.635	0.469
♂	3	24.67	41.61	82.00	131.96	161.89	0.622	0.432
♂	4	33.30	51.27	93.00	143.90	174.26	0.607	0.390
♂	5	44.94	64.24	108.00	160.60	191.80	0.592	0.349
♂	6	56.23	77.14	124.00	179.92	213.01	0.577	0.324
♂	7	64.56	88.36	142.00	206.47	244.80	0.561	0.325
♂	8	73.20	101.18	165.00	242.67	289.23	0.545	0.335
♂	9	85.29	118.47	195.00	289.26	346.20	0.527	0.342
♂	10	100.81	140.50	233.00	348.26	418.43	0.509	0.348
♂	11	116.01	162.49	272.00	410.05	494.74	0.493	0.355
♂	12	127.50	178.95	301.00	456.11	551.78	0.481	0.359
♂	13	136.26	189.34	315.00	474.62	573.13	0.473	0.353
♂	14	140.92	192.88	315.00	469.30	564.30	0.468	0.342
♂	15	143.22	193.27	310.00	456.56	546.51	0.465	0.331
♂	16	143.88	192.95	307.00	449.76	537.23	0.464	0.326
♂	17	144.21	192.93	306.00	447.33	533.86	0.464	0.324
♂	18	144.72	191.94	301.00	436.78	519.74	0.462	0.317
♂	19	144.71	189.46	292.00	418.73	495.85	0.461	0.306
♂	20	143.80	185.44	280.00	395.95	466.20	0.458	0.293
♂	21	140.91	179.09	265.00	369.47	432.47	0.456	0.280
♂	22	137.39	172.53	251.00	345.76	402.68	0.454	0.269
♂	23	132.80	165.16	237.00	323.25	374.90	0.452	0.260
♂	24	129.30	159.43	226.00	305.55	353.06	0.449	0.252
♂	25	125.81	154.00	216.00	289.77	333.72	0.447	0.245
♂	26	120.19	149.39	212.00	284.02	325.84	0.561	0.248
♂	27	118.02	146.62	208.00	278.72	319.83	0.556	0.248
♂	28	115.00	142.92	203.00	272.38	312.78	0.550	0.249
♂	29	112.86	140.16	199.00	267.08	306.78	0.544	0.249
♂	30	110.73	137.41	195.00	261.79	300.80	0.537	0.249
♂	31	108.32	134.45	191.00	256.78	295.29	0.529	0.250
♂	32	106.22	131.71	187.00	251.50	289.34	0.520	0.250
♂	33	104.68	129.68	184.00	247.56	284.92	0.511	0.250
♂	34	102.91	127.46	181.00	243.90	280.99	0.500	0.251
♂	35	101.41	125.45	178.00	239.98	276.64	0.488	0.251
♂	36	99.91	123.43	175.00	236.06	272.27	0.476	0.251
♂	37	98.76	121.94	173.00	233.76	269.93	0.462	0.252
♂	38	97.85	120.64	171.00	231.20	267.16	0.448	0.252
♂	39	96.39	118.65	168.00	227.30	262.87	0.432	0.252
♂	40	95.48	117.34	166.00	224.75	260.11	0.417	0.252
♂	41	94.92	116.58	165.00	223.80	259.36	0.401	0.253
♂	42	94.03	115.29	163.00	221.26	256.64	0.384	0.253
♂	43	93.12	113.99	161.00	218.70	253.88	0.368	0.253
♂	44	92.78	113.40	160.00	217.50	252.71	0.352	0.253
♂	45	92.42	112.79	159.00	216.29	251.50	0.337	0.253
♂	46	91.23	111.30	157.00	213.94	249.08	0.324	0.254
♂	47	90.83	110.68	156.00	212.71	247.82	0.311	0.254
♂	48	89.82	109.34	154.00	210.09	244.92	0.300	0.254
♂	49	89.15	108.53	153.00	209.06	243.97	0.291	0.255
♂	50	88.68	107.87	152.00	207.77	242.58	0.283	0.255
♂	51	87.99	107.06	151.00	206.72	241.58	0.276	0.256
♂	52	86.68	105.52	149.00	204.26	238.89	0.272	0.257
♂	53	85.94	104.68	148.00	203.15	237.77	0.269	0.258
♂	54	85.19	103.84	147.00	202.04	236.63	0.267	0.259
♂	55	84.41	102.98	146.00	200.89	235.40	0.268	0.260
♂	56	83.62	102.12	145.00	199.73	234.14	0.270	0.261
♂	57	82.61	101.11	144.00	198.78	233.22	0.274	0.263
♂	58	81.75	100.22	143.00	197.56	231.82	0.281	0.264
♂	59	80.70	99.18	142.00	196.56	230.78	0.289	0.266
♂	60	79.61	98.13	141.00	195.52	229.65	0.300	0.268
♂	61	78.51	97.07	140.00	194.46	228.48	0.312	0.270
♂	62	76.82	95.31	138.00	191.97	225.58	0.327	0.272
♂	63	75.66	94.23	137.00	190.85	224.25	0.344	0.274
♂	64	73.92	92.45	135.00	188.30	221.22	0.363	0.276
♂	65	72.73	91.36	134.00	187.13	219.80	0.383	0.278
♂	66	70.96	89.57	132.00	184.54	216.67	0.405	0.280
♂	67	69.19	87.79	130.00	181.92	213.50	0.428	0.282
♂	68	67.40	86.00	128.00	179.28	210.28	0.453	0.284
♂	69	65.42	84.07	126.00	176.81	207.34	0.479	0.287
♂	70	63.61	82.28	124.00	174.12	204.04	0.506	0.289
♂	71	61.81	80.50	122.00	171.43	200.74	0.533	0.291
♂	72	59.31	77.92	119.00	167.48	196.04	0.562	0.294
♂	73	57.50	76.15	117.00	164.75	192.67	0.591	0.296
♂	74	55.03	73.60	114.00	160.77	187.93	0.620	0.299
♂	75	53.22	71.84	112.00	158.02	184.54	0.650	0.301
♂	76	50.94	69.44	109.00	153.84	179.50	0.680	0.303
♂	77	48.52	66.94	106.00	149.81	174.70	0.710	0.306
♀	0	15.95	30.57	69.01	120.38	152.50	0.563	0.510
♀	1	24.08	40.88	85.00	145.52	184.26	0.490	0.480
♀	2	32.82	51.08	99.00	166.12	210.00	0.419	0.451
♀	3	40.68	59.30	108.00	177.23	223.31	0.350	0.422
♀	4	48.41	67.17	116.00	186.17	233.60	0.283	0.395
♀	5	56.92	76.15	126.00	198.27	247.77	0.220	0.372
♀	6	70.26	91.64	147.00	228.01	284.21	0.162	0.355
♀	7	90.47	116.16	183.00	282.17	352.04	0.109	0.346
♀	8	112.88	143.59	224.00	345.09	431.71	0.065	0.342
♀	9	135.00	170.52	264.00	406.58	509.93	0.028	0.339
♀	10	157.24	197.09	302.00	462.75	580.04	0.000	0.333
♀	11	177.51	220.50	333.00	504.62	629.71	-0.020	0.323
♀	12	189.85	233.86	348.00	520.33	645.09	-0.030	0.312
♀	13	194.80	238.00	349.00	514.82	634.03	-0.040	0.301
♀	14	194.91	236.84	344.00	503.21	617.29	-0.050	0.294
♀	15	194.69	235.96	341.00	496.22	606.99	-0.050	0.290
♀	16	194.49	235.56	340.00	494.12	603.99	-0.050	0.289
♀	17	192.73	232.97	335.00	484.95	591.51	-0.050	0.286
♀	18	190.07	228.72	326.00	467.63	567.56	-0.050	0.279
♀	19	184.37	220.54	311.00	441.76	533.57	-0.060	0.271
♀	20	177.03	210.40	293.00	410.78	492.62	-0.060	0.261
♀	21	169.02	199.72	275.00	381.04	454.02	-0.060	0.252
♀	22	161.94	190.24	259.00	354.67	419.91	-0.060	0.243
♀	23	156.81	183.26	247.00	334.72	394.04	-0.060	0.235
♀	24	152.34	177.32	237.00	318.11	372.41	-0.050	0.228
♀	25	148.25	171.89	228.00	303.66	353.99	-0.050	0.222
♀	26	147.06	170.12	223.00	290.69	333.75	0.078	0.209
♀	27	142.55	165.19	217.00	283.02	324.84	0.099	0.210
♀	28	138.71	161.05	212.00	276.64	317.41	0.120	0.211
♀	29	134.26	156.16	206.00	268.95	308.51	0.140	0.212
♀	30	130.51	152.06	201.00	262.58	301.14	0.158	0.213
♀	31	126.77	147.97	196.00	256.20	293.77	0.176	0.214
♀	32	123.73	144.66	192.00	251.13	287.93	0.192	0.215
♀	33	119.82	140.43	187.00	245.07	281.13	0.206	0.217
♀	34	116.85	137.17	183.00	240.00	275.32	0.219	0.218
♀	35	113.02	132.99	178.00	233.91	268.49	0.231	0.220
♀	36	110.12	129.76	174.00	228.84	262.71	0.241	0.221
♀	37	107.01	126.38	170.00	224.04	257.39	0.250	0.223
♀	38	103.95	123.03	166.00	219.24	252.08	0.257	0.225
♀	39	101.55	120.43	163.00	215.74	248.27	0.263	0.227
♀	40	98.56	117.13	159.00	210.91	242.92	0.268	0.229
♀	41	96.24	114.58	156.00	207.39	239.11	0.271	0.231
♀	42	93.94	112.05	153.00	203.87	235.29	0.273	0.233
♀	43	91.69	109.55	150.00	200.35	231.48	0.273	0.235
♀	44	89.46	107.06	147.00	196.82	227.66	0.272	0.237
♀	45	87.89	105.33	145.00	194.62	225.41	0.269	0.239
♀	46	85.72	102.88	142.00	191.07	221.58	0.266	0.241
♀	47	84.19	101.17	140.00	188.87	219.33	0.261	0.243
♀	48	82.87	99.62	138.00	186.44	216.70	0.255	0.244
♀	49	81.97	98.66	137.00	185.58	216.01	0.249	0.246
♀	50	80.50	96.99	135.00	183.37	213.77	0.241	0.248
♀	51	79.64	96.05	134.00	182.52	213.11	0.233	0.250
♀	52	78.96	95.24	133.00	181.44	212.07	0.225	0.251
♀	53	77.53	93.60	131.00	179.21	209.82	0.216	0.253
♀	54	76.86	92.80	130.00	178.13	208.77	0.208	0.254
♀	55	76.03	91.88	129.00	177.25	208.09	0.200	0.256
♀	56	75.35	91.08	128.00	176.15	207.00	0.193	0.257
♀	57	73.93	89.45	126.00	173.88	204.66	0.186	0.259
♀	58	73.25	88.65	125.00	172.76	203.54	0.180	0.260
♀	59	71.81	87.02	123.00	170.44	201.10	0.176	0.262
♀	60	70.53	85.51	121.00	167.91	198.28	0.172	0.263
♀	61	69.82	84.69	120.00	166.74	197.04	0.170	0.264
♀	62	68.38	83.07	118.00	164.38	194.50	0.168	0.266
♀	63	67.09	81.55	116.00	161.80	191.58	0.167	0.267
♀	64	65.64	79.92	114.00	159.38	188.93	0.168	0.269
♀	65	64.34	78.41	112.00	156.77	185.93	0.169	0.270
♀	66	62.91	76.80	110.00	154.33	183.24	0.170	0.272
♀	67	62.17	75.98	109.00	153.09	181.83	0.173	0.273
♀	68	60.73	74.36	107.00	150.61	179.04	0.177	0.275
♀	69	59.42	72.85	105.00	147.94	175.92	0.181	0.276
♀	70	58.00	71.25	103.00	145.44	173.10	0.185	0.278
♀	71	56.71	69.75	101.00	142.75	169.95	0.189	0.279
♀	72	55.85	68.84	100.00	141.64	168.75	0.194	0.281
♀	73	54.57	67.35	98.00	138.93	165.56	0.199	0.282
♀	74	53.18	65.78	96.00	136.39	162.67	0.203	0.284
♀	75	52.35	64.89	95.00	135.25	161.43	0.208	0.286
♀	76	51.09	63.41	93.00	132.52	158.22	0.212	0.287
♀	77	50.27	62.53	92.00	131.37	156.96	0.217	0.289

Country: China

liao_igf1.ref

Citations

• 1. Liao ZH, Yin QQ, Wan JX, He W, Ji W, Zhang LY, et al. Serum Insulin-like growth factor-1 levels of healthy adults in southern China. Endocr J. 2016 Dec 30;63(12):1081–6.

IGF1

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	20	280.69	284.87	290.00	292.77	293.73	94	316
♂	21	270.25	273.35	277.14	279.17	279.88	122	313
♂	22	260.33	262.76	265.72	267.30	267.85	150	309
♂	23	252.33	254.31	256.72	258.01	258.46	178	306
♂	24	244.84	246.50	248.52	249.59	249.97	206	302
♂	25	237.72	239.14	240.87	241.79	242.11	233	299
♂	26	230.79	232.02	233.52	234.32	234.59	261	296
♂	27	224.03	225.11	226.42	227.12	227.36	289	292
♂	28	217.38	218.33	219.49	220.10	220.32	318	289
♂	29	210.84	211.69	212.72	213.27	213.46	346	287
♂	30	205.41	206.17	207.10	207.59	207.76	374	284
♂	31	200.03	200.72	201.56	202.01	202.16	402	281
♂	32	194.70	195.33	196.10	196.51	196.65	429	279
♂	33	189.42	190.00	190.70	191.07	191.20	455	277
♂	34	185.19	185.72	186.37	186.72	186.84	480	276
♂	35	181.99	182.49	183.10	183.43	183.54	505	274
♂	36	177.81	178.28	178.85	179.15	179.26	528	274
♂	37	174.66	175.10	175.64	175.92	176.02	551	273
♂	38	171.52	171.94	172.45	172.71	172.81	573	273
♂	39	168.40	168.80	169.28	169.53	169.62	594	274
♂	40	165.29	165.67	166.12	166.36	166.44	614	274
♂	41	163.20	163.56	164.00	164.23	164.31	633	275
♂	42	161.13	161.47	161.89	162.11	162.19	650	277
♂	43	159.06	159.39	159.79	160.01	160.08	666	279
♂	44	156.99	157.31	157.70	157.91	157.98	681	281
♂	45	155.95	156.26	156.64	156.84	156.91	694	283
♂	46	154.91	155.22	155.59	155.78	155.85	705	286
♂	47	153.88	154.18	154.54	154.73	154.80	715	288
♂	48	152.85	153.14	153.50	153.69	153.76	722	291
♂	49	151.83	152.12	152.47	152.65	152.72	728	294
♂	50	151.82	152.11	152.46	152.65	152.71	731	297
♂	51	151.82	152.11	152.46	152.65	152.71	731	299
♂	52	151.83	152.12	152.47	152.66	152.72	729	302
♂	53	151.84	152.13	152.49	152.67	152.74	725	305
♂	54	151.86	152.15	152.51	152.70	152.76	718	308
♂	55	151.88	152.18	152.54	152.73	152.80	710	310
♂	56	151.91	152.21	152.58	152.77	152.84	699	313
♂	57	150.93	151.23	151.60	151.80	151.87	687	315
♂	58	150.96	151.27	151.65	151.85	151.92	673	317
♂	59	151.01	151.33	151.71	151.92	151.99	657	320
♂	60	150.04	150.37	150.76	150.97	151.05	640	322
♂	61	150.10	150.43	150.84	151.06	151.13	622	324
♂	62	149.14	149.49	149.90	150.13	150.20	603	326
♂	63	149.21	149.57	150.00	150.23	150.31	583	329
♂	64	148.27	148.64	149.09	149.32	149.41	561	331
♂	65	147.34	147.72	148.18	148.43	148.51	539	333
♂	66	146.42	146.82	147.30	147.55	147.64	515	335
♂	67	145.52	145.93	146.43	146.70	146.79	490	338
♂	68	144.63	145.06	145.59	145.87	145.96	464	340
♂	69	143.75	144.21	144.77	145.06	145.17	437	342
♂	70	142.90	143.38	143.97	144.28	144.39	410	345
♂	71	141.04	141.56	142.18	142.51	142.63	382	347
♂	72	139.21	139.76	140.42	140.78	140.90	354	349
♂	73	138.44	139.04	139.76	140.14	140.27	325	352
♂	74	136.69	137.33	138.11	138.53	138.67	296	354
♂	75	134.99	135.69	136.55	137.00	137.16	267	357
♂	76	133.35	134.13	135.08	135.59	135.76	238	359
♀	20	269.81	271.44	273.43	274.50	274.86	230	287
♀	21	265.64	267.24	269.19	270.23	270.60	231	287
♀	22	261.48	263.05	264.96	265.98	266.34	232	288
♀	23	257.32	258.85	260.73	261.73	262.08	233	289
♀	24	253.18	254.70	256.54	257.52	257.87	233	289
♀	25	249.05	250.54	252.35	253.32	253.66	233	290
♀	26	244.92	246.38	248.17	249.12	249.45	233	290
♀	27	240.79	242.23	243.98	244.92	245.24	233	291
♀	28	237.69	239.11	240.84	241.76	242.08	233	291
♀	29	233.59	234.99	236.70	237.61	237.93	232	292
♀	30	229.48	230.87	232.55	233.45	233.77	231	293
♀	31	225.35	226.71	228.36	229.25	229.55	231	293
♀	32	221.25	222.59	224.22	225.09	225.39	230	294
♀	33	217.11	218.43	220.03	220.88	221.18	230	294
♀	34	212.98	214.27	215.84	216.68	216.97	230	295
♀	35	207.78	209.04	210.56	211.38	211.66	231	295
♀	36	203.63	204.85	206.34	207.13	207.41	232	296
♀	37	199.47	200.66	202.11	202.89	203.16	233	296
♀	38	194.25	195.40	196.80	197.55	197.81	235	296
♀	39	189.04	190.15	191.50	192.23	192.48	237	296
♀	40	184.82	185.89	187.19	187.88	188.12	241	295
♀	41	180.61	181.63	182.88	183.55	183.78	245	295
♀	42	175.35	176.32	177.51	178.15	178.37	250	294
♀	43	171.09	172.02	173.15	173.75	173.96	257	293
♀	44	166.85	167.73	168.80	169.37	169.57	264	292
♀	45	163.63	164.47	165.49	166.03	166.22	272	290
♀	46	159.40	160.19	161.16	161.67	161.85	280	289
♀	47	156.19	156.94	157.86	158.35	158.52	289	287
♀	48	154.01	154.73	155.60	156.06	156.23	299	285
♀	49	150.80	151.48	152.30	152.74	152.90	310	283
♀	50	148.63	149.28	150.06	150.48	150.62	321	281
♀	51	146.46	147.07	147.81	148.20	148.34	334	279
♀	52	144.28	144.86	145.56	145.93	146.06	348	276
♀	53	142.11	142.66	143.32	143.67	143.80	363	274
♀	54	140.97	141.49	142.12	142.45	142.57	379	272
♀	55	138.81	139.30	139.89	140.20	140.31	397	269
♀	56	137.68	138.14	138.70	139.00	139.10	415	267
♀	57	135.53	135.97	136.50	136.78	136.87	434	265
♀	58	134.41	134.82	135.32	135.58	135.68	455	263
♀	59	132.28	132.66	133.13	133.38	133.47	476	261
♀	60	131.17	131.53	131.98	132.22	132.30	498	258
♀	61	129.05	129.39	129.81	130.03	130.11	522	256
♀	62	126.93	127.26	127.65	127.86	127.93	546	255
♀	63	125.84	126.15	126.52	126.72	126.79	571	253
♀	64	123.74	124.03	124.37	124.56	124.62	598	251
♀	65	121.64	121.91	122.24	122.41	122.48	625	249
♀	66	120.57	120.82	121.13	121.30	121.36	653	248
♀	67	118.48	118.72	119.01	119.17	119.22	682	246
♀	68	116.40	116.63	116.90	117.05	117.10	712	245
♀	69	114.32	114.54	114.80	114.93	114.98	743	243
♀	70	112.25	112.45	112.70	112.83	112.87	774	242
♀	71	110.18	110.37	110.60	110.73	110.77	807	241
♀	72	108.12	108.30	108.52	108.63	108.67	839	240
♀	73	107.07	107.24	107.45	107.56	107.60	873	238
♀	74	105.02	105.18	105.37	105.48	105.51	906	237
♀	75	102.96	103.12	103.30	103.40	103.43	940	236
♀	76	101.92	102.07	102.25	102.34	102.37	974	235
♀	77	99.88	100.02	100.18	100.27	100.30	1009	234
♀	78	98.84	98.98	99.13	99.22	99.25	1043	233
♀	79	97.81	97.94	98.09	98.17	98.20	1077	232
♀	80	96.78	96.90	97.05	97.13	97.15	1111	231
♀	81	95.75	95.87	96.01	96.08	96.11	1146	230
♀	82	94.72	94.83	94.97	95.04	95.07	1180	229
♀	83	92.69	92.80	92.92	92.99	93.02	1215	228
♀	84	91.66	91.77	91.89	91.96	91.98	1249	227

zong13.ref

Citations

• Zong, X.-N. & Li, H. Construction of a New Growth References for China Based on Urban Chinese Children: Comparison with the WHO Growth Standards. PLOS ONE 8, e59569 (2013).

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.0000000	46.41	47.54	49.7	51.92	53.11	0.45	0.0344
♀	0.0833333	49.88	51.18	53.7	56.29	57.69	0.43	0.0371
♀	0.1666667	53.24	54.66	57.4	60.22	61.75	0.40	0.0378
♀	0.2500000	56.36	57.81	60.6	63.48	65.03	0.38	0.0365
♀	0.3333333	58.87	60.31	63.1	65.97	67.52	0.36	0.0350
♀	0.4166667	60.89	62.36	65.2	68.12	69.71	0.35	0.0345
♀	0.5000000	62.37	63.88	66.8	69.81	71.43	0.33	0.0346
♀	0.6666667	64.90	66.50	69.6	72.80	74.53	0.32	0.0353
♀	0.8333333	67.44	69.13	72.4	75.78	77.61	0.30	0.0358
♀	1.0000000	69.84	71.60	75.0	78.52	80.43	0.29	0.0360
♀	2.0000000	80.62	82.85	87.2	91.71	94.16	0.28	0.0396
♀	3.0000000	89.06	91.52	96.3	101.25	103.94	0.31	0.0394
♀	3.0000000	88.36	90.82	95.6	100.55	103.24	0.31	0.0397
♀	4.0000000	95.56	98.13	103.1	108.23	111.01	0.36	0.0382
♀	5.0000000	102.02	104.81	110.2	115.74	118.74	0.42	0.0387
♀	6.0000000	107.78	110.79	116.6	122.56	125.79	0.48	0.0394
♀	7.0000000	112.90	116.19	122.5	128.96	132.45	0.55	0.0407
♀	8.0000000	118.13	121.68	128.5	135.45	139.19	0.63	0.0418
♀	9.0000000	122.89	126.74	134.1	141.58	145.59	0.71	0.0432
♀	10.0000000	127.85	132.07	140.1	148.22	152.56	0.81	0.0450
♀	11.0000000	133.67	138.13	146.6	155.11	159.64	0.91	0.0452
♀	12.0000000	139.74	144.12	152.4	160.68	165.06	1.00	0.0424
♀	13.0000000	144.48	148.58	156.3	164.00	168.07	1.06	0.0385
♀	14.0000000	147.47	151.33	158.6	165.84	169.66	1.09	0.0357
♀	15.0000000	149.02	152.76	159.8	166.81	170.50	1.11	0.0343
♀	16.0000000	149.39	153.11	160.1	167.06	170.73	1.11	0.0340
♀	17.0000000	149.67	153.36	160.3	167.21	170.85	1.12	0.0337
♀	18.0000000	150.01	153.69	160.6	167.48	171.10	1.12	0.0335
♂	0.0000000	46.97	48.15	50.4	52.69	53.92	0.61	0.0352
♂	0.0833333	50.79	52.16	54.8	57.49	58.93	0.59	0.0379
♂	0.1666667	54.36	55.85	58.7	61.61	63.18	0.57	0.0383
♂	0.2500000	57.59	59.10	62.0	64.96	66.56	0.55	0.0369
♂	0.3333333	60.15	61.68	64.6	67.59	69.19	0.54	0.0357
♂	0.4166667	62.17	63.72	66.7	69.74	71.38	0.53	0.0352
♂	0.5000000	63.77	65.36	68.4	71.51	73.18	0.52	0.0351
♂	0.6666667	66.37	68.02	71.2	74.45	76.20	0.50	0.0352
♂	0.8333333	68.97	70.69	74.0	77.39	79.21	0.49	0.0353
♂	1.0000000	71.23	73.03	76.5	80.05	81.97	0.48	0.0358
♂	2.0000000	81.74	84.05	88.5	93.08	95.55	0.46	0.0398
♂	3.0000000	90.13	92.65	97.5	102.49	105.19	0.45	0.0394
♂	3.0000000	89.43	91.94	96.8	101.79	104.49	0.45	0.0397
♂	4.0000000	96.40	99.03	104.1	109.30	112.12	0.46	0.0385
♂	5.0000000	102.96	105.81	111.3	116.94	119.98	0.47	0.0390
♂	6.0000000	108.74	111.80	117.7	123.75	127.01	0.50	0.0396
♂	7.0000000	114.25	117.58	124.0	130.58	134.13	0.53	0.0409
♂	8.0000000	119.49	123.08	130.0	137.08	140.89	0.57	0.0420
♂	9.0000000	124.15	128.00	135.4	142.96	147.02	0.62	0.0431
♂	10.0000000	128.23	132.33	140.2	148.22	152.52	0.67	0.0442
♂	11.0000000	132.36	136.80	145.3	153.93	158.56	0.73	0.0460
♂	12.0000000	137.49	142.45	151.9	161.45	166.54	0.83	0.0488
♂	13.0000000	144.32	149.56	159.5	169.47	174.77	0.94	0.0487
♂	14.0000000	151.80	156.69	165.9	175.10	179.96	1.03	0.0433
♂	15.0000000	156.98	161.43	169.8	178.14	182.54	1.09	0.0384
♂	16.0000000	159.38	163.62	171.6	179.54	183.73	1.11	0.0362
♂	17.0000000	160.33	164.48	172.3	180.07	184.17	1.12	0.0353
♂	18.0000000	160.83	164.95	172.7	180.40	184.46	1.13	0.0349

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.0000000	2.55	2.76	3.21	3.75	4.08	-0.14	0.1203
♀	0.0833333	3.34	3.62	4.20	4.90	5.32	-0.15	0.1182
♀	0.1666667	4.17	4.50	5.21	6.06	6.57	-0.17	0.1160
♀	0.2500000	4.93	5.31	6.13	7.11	7.70	-0.18	0.1138
♀	0.3333333	5.51	5.93	6.83	7.90	8.55	-0.18	0.1121
♀	0.4166667	5.95	6.40	7.36	8.50	9.19	-0.19	0.1109
♀	0.5000000	6.29	6.76	7.77	8.97	9.69	-0.20	0.1101
♀	0.6666667	6.82	7.33	8.41	9.69	10.46	-0.20	0.1091
♀	0.8333333	7.26	7.80	8.94	10.29	11.11	-0.21	0.1084
♀	1.0000000	7.64	8.20	9.40	10.82	11.68	-0.22	0.1080
♀	2.0000000	9.67	10.39	11.92	13.74	14.85	-0.24	0.1092
♀	3.0000000	11.41	12.27	14.13	16.36	17.73	-0.27	0.1123
♀	4.0000000	12.99	13.99	16.17	18.81	20.44	-0.29	0.1155
♀	5.0000000	14.51	15.68	18.26	21.42	23.39	-0.31	0.1215
♀	6.0000000	15.95	17.32	20.37	24.18	26.59	-0.33	0.1301
♀	7.0000000	17.40	19.01	22.64	27.28	30.26	-0.35	0.1408
♀	8.0000000	18.99	20.89	25.25	30.95	34.69	-0.36	0.1532
♀	9.0000000	20.69	22.93	28.19	35.26	40.03	-0.38	0.1675
♀	10.0000000	22.69	25.37	31.76	40.63	46.77	-0.39	0.1833
♀	11.0000000	25.40	28.53	36.10	46.78	54.27	-0.39	0.1923
♀	12.0000000	28.96	32.43	40.77	52.49	60.69	-0.41	0.1873
♀	13.0000000	32.69	36.28	44.79	56.46	64.47	-0.43	0.1720
♀	14.0000000	35.99	39.55	47.83	58.88	66.28	-0.45	0.1548
♀	15.0000000	38.34	41.83	49.82	60.28	67.16	-0.47	0.1422
♀	16.0000000	39.57	43.00	50.81	60.91	67.50	-0.48	0.1355
♀	17.0000000	40.08	43.48	51.20	61.16	67.64	-0.49	0.1328
♀	18.0000000	40.35	43.73	51.41	61.28	67.69	-0.49	0.1313
♂	0.0000000	2.60	2.83	3.32	3.86	4.16	0.35	0.1202
♂	0.0833333	3.54	3.86	4.51	5.24	5.65	0.29	0.1190
♂	0.1666667	4.48	4.87	5.68	6.58	7.10	0.24	0.1172
♂	0.2500000	5.32	5.77	6.70	7.75	8.36	0.19	0.1154
♂	0.3333333	5.94	6.43	7.45	8.61	9.28	0.15	0.1139
♂	0.4166667	6.39	6.91	8.00	9.23	9.95	0.12	0.1129
♂	0.5000000	6.73	7.28	8.41	9.70	10.46	0.09	0.1123
♂	0.6666667	7.26	7.84	9.05	10.43	11.24	0.06	0.1114
♂	0.8333333	7.70	8.31	9.58	11.04	11.90	0.03	0.1109
♂	1.0000000	8.09	8.72	10.05	11.58	12.48	0.01	0.1106
♂	2.0000000	10.13	10.90	12.54	14.45	15.59	-0.09	0.1101
♂	3.0000000	11.84	12.73	14.65	16.91	18.28	-0.17	0.1108
♂	4.0000000	13.41	14.43	16.64	19.29	20.91	-0.25	0.1133
♂	5.0000000	15.13	16.33	18.98	22.23	24.25	-0.33	0.1201
♂	6.0000000	16.64	18.07	21.26	25.29	27.87	-0.39	0.1311
♂	7.0000000	18.29	20.04	24.06	29.35	32.86	-0.44	0.1486
♂	8.0000000	20.08	22.24	27.33	34.31	39.09	-0.45	0.1687
♂	9.0000000	21.76	24.32	30.46	39.09	45.14	-0.43	0.1846
♂	10.0000000	23.57	26.55	33.74	43.86	50.93	-0.36	0.1953
♂	11.0000000	25.84	29.33	37.69	49.21	57.08	-0.24	0.2016
♂	12.0000000	28.62	32.76	42.49	55.49	64.11	-0.10	0.2056
♂	13.0000000	32.31	37.05	48.08	62.57	72.02	-0.04	0.2045
♂	14.0000000	36.83	41.81	53.37	68.54	78.45	-0.10	0.1928
♂	15.0000000	40.89	45.77	57.08	72.00	81.82	-0.22	0.1766
♂	16.0000000	43.77	48.47	59.35	73.73	83.26	-0.33	0.1634
♂	17.0000000	45.54	50.11	60.68	74.62	83.84	-0.39	0.1550
♂	18.0000000	46.52	51.02	61.40	75.08	84.15	-0.43	0.1504

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.0000000	11.01	11.65	13.00	14.59	15.55	-0.44	0.0878
♀	0.0833333	12.36	13.05	14.52	16.21	17.21	-0.31	0.0844
♀	0.1666667	13.48	14.24	15.84	17.69	18.80	-0.34	0.0848
♀	0.2500000	14.20	15.00	16.69	18.65	19.82	-0.37	0.0850
♀	0.3333333	14.59	15.41	17.14	19.15	20.36	-0.40	0.0848
♀	0.4166667	14.79	15.61	17.35	19.38	20.59	-0.43	0.0843
♀	0.5000000	14.87	15.68	17.41	19.43	20.64	-0.45	0.0835
♀	0.6666667	14.84	15.63	17.31	19.28	20.46	-0.50	0.0818
♀	0.8333333	14.66	15.43	17.05	18.95	20.09	-0.54	0.0802
♀	1.0000000	14.43	15.17	16.74	18.58	19.69	-0.57	0.0790
♀	2.0000000	13.57	14.24	15.67	17.36	18.40	-0.73	0.0772
♀	3.0000000	13.23	13.87	15.25	16.91	17.92	-0.84	0.0771
♀	3.0000000	13.38	14.03	15.42	17.11	18.16	-0.95	0.0773
♀	4.0000000	13.10	13.74	15.15	16.88	17.97	-1.01	0.0801
♀	5.0000000	12.85	13.51	14.99	16.84	18.02	-1.05	0.0854
♀	6.0000000	12.69	13.39	14.96	16.96	18.25	-1.06	0.0915
♀	7.0000000	12.60	13.34	15.02	17.20	18.64	-1.07	0.0984
♀	8.0000000	12.60	13.40	15.21	17.62	19.25	-1.07	0.1062
♀	9.0000000	12.74	13.59	15.57	18.25	20.10	-1.06	0.1142
♀	10.0000000	13.01	13.93	16.09	19.07	21.17	-1.06	0.1215
♀	11.0000000	13.42	14.40	16.74	20.01	22.34	-1.05	0.1270
♀	12.0000000	13.91	14.96	17.45	20.97	23.50	-1.05	0.1305
♀	13.0000000	14.43	15.52	18.15	21.88	24.58	-1.05	0.1325
♀	14.0000000	14.91	16.05	18.78	22.67	25.49	-1.05	0.1334
♀	15.0000000	15.32	16.50	19.31	23.32	26.23	-1.05	0.1337
♀	16.0000000	15.64	16.85	19.72	23.82	26.79	-1.05	0.1337
♀	17.0000000	15.90	17.12	20.04	24.20	27.21	-1.05	0.1335
♀	18.0000000	16.13	17.37	20.32	24.53	27.58	-1.05	0.1333
♂	0.0000000	11.10	11.74	13.07	14.55	15.41	-0.03	0.0837
♂	0.0833333	12.45	13.29	14.91	16.58	17.48	0.72	0.0861
♂	0.1666667	13.83	14.72	16.48	18.35	19.38	0.47	0.0860
♂	0.2500000	14.70	15.62	17.48	19.50	20.64	0.25	0.0866
♂	0.3333333	15.04	15.97	17.87	19.98	21.19	0.07	0.0874
♂	0.4166667	15.15	16.07	17.97	20.12	21.37	-0.08	0.0878
♂	0.5000000	15.17	16.07	17.96	20.12	21.38	-0.19	0.0875
♂	0.6666667	15.09	15.95	17.76	19.86	21.12	-0.36	0.0856
♂	0.8333333	14.94	15.75	17.48	19.50	20.72	-0.47	0.0833
♂	1.0000000	14.75	15.53	17.19	19.14	20.31	-0.54	0.0814
♂	2.0000000	13.93	14.61	16.07	17.80	18.86	-0.73	0.0770
♂	3.0000000	13.46	14.08	15.43	17.06	18.07	-0.97	0.0746
♂	3.0000000	13.67	14.30	15.66	17.31	18.34	-1.02	0.0745
♂	4.0000000	13.34	13.96	15.32	17.00	18.07	-1.14	0.0767
♂	5.0000000	13.13	13.78	15.22	17.04	18.21	-1.19	0.0823
♂	6.0000000	13.04	13.75	15.35	17.42	18.79	-1.19	0.0916
♂	7.0000000	13.01	13.79	15.59	17.98	19.60	-1.15	0.1027
♂	8.0000000	13.07	13.94	15.96	18.72	20.63	-1.11	0.1140
♂	9.0000000	13.23	14.18	16.42	19.54	21.75	-1.06	0.1240
♂	10.0000000	13.48	14.51	16.96	20.42	22.90	-1.01	0.1321
♂	11.0000000	13.80	14.90	17.54	21.29	24.00	-0.97	0.1379
♂	12.0000000	14.15	15.32	18.12	22.12	25.01	-0.94	0.1419
♂	13.0000000	14.52	15.74	18.67	22.87	25.91	-0.92	0.1443
♂	14.0000000	14.88	16.15	19.19	23.54	26.69	-0.90	0.1457
♂	15.0000000	15.22	16.53	19.66	24.13	27.36	-0.88	0.1463
♂	16.0000000	15.55	16.88	20.09	24.66	27.95	-0.87	0.1465
♂	17.0000000	15.84	17.21	20.48	25.12	28.46	-0.85	0.1464
♂	18.0000000	16.12	17.51	20.84	25.56	28.93	-0.84	0.1463

Region Asia

Country: Japan

japanese.ref

Citations

• Inokuchi, M., Matsuo, N., Anzo, M., Takayama, J. I. & Hasegawa, T. Age-dependent percentile for waist circumference for Japanese children based on the 1992–1994 cross-sectional national survey data. Eur J Pediatr 166, 655–661 (2007)

WC1_INO

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	44.97	46.56	50.38	56.01	60.40	-3.24	0.070
♀	7	45.62	47.24	51.15	57.00	61.65	-3.32	0.071
♀	8	46.75	48.41	52.45	58.60	63.61	-3.43	0.072
♀	9	47.92	49.63	53.81	60.27	65.65	-3.52	0.073
♀	10	49.29	51.07	55.42	62.20	67.88	-3.52	0.074
♀	11	51.22	53.11	57.73	64.82	70.66	-3.34	0.075
♀	12	52.78	54.74	59.48	66.57	72.18	-3.14	0.074
♀	13	54.10	56.11	60.92	68.01	73.52	-3.05	0.073
♀	14	55.39	57.43	62.30	69.42	74.89	-3.03	0.072
♀	15	56.36	58.42	63.31	70.41	75.82	-3.01	0.071
♀	16	57.03	59.09	63.98	71.03	76.35	-3.00	0.070
♀	17	57.58	59.63	64.50	71.48	76.70	-2.99	0.069
♀	18	58.01	60.08	64.99	72.01	77.27	-2.98	0.069
♂	6	45.74	47.15	50.57	55.74	59.93	-3.98	0.063
♂	7	46.89	48.46	52.34	58.44	63.66	-3.89	0.070
♂	8	48.09	49.83	54.18	61.31	67.76	-3.81	0.077
♂	9	49.34	51.24	56.10	64.34	72.20	-3.72	0.084
♂	10	50.71	52.76	58.04	67.21	76.23	-3.63	0.089
♂	11	52.01	54.19	59.85	69.82	79.85	-3.55	0.093
♂	12	53.50	55.77	61.61	71.80	81.86	-3.46	0.093
♂	13	55.25	57.58	63.52	73.66	83.37	-3.40	0.091
♂	14	57.21	59.57	65.55	75.51	84.73	-3.36	0.088
♂	15	59.11	61.50	67.48	77.26	86.05	-3.35	0.085
♂	16	60.65	63.05	69.06	78.76	87.32	-3.35	0.083
♂	17	61.90	64.33	70.39	80.12	88.65	-3.36	0.082
♂	18	62.90	65.39	71.62	81.69	90.58	-3.36	0.083

WC2_INO

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	47.35	49.40	54.27	61.23	66.39	-2.34	0.082
♀	7	48.50	50.64	55.75	63.11	68.62	-2.33	0.084
♀	8	50.31	52.58	58.01	65.87	71.80	-2.30	0.086
♀	9	52.18	54.62	60.46	68.97	75.43	-2.24	0.089
♀	10	53.88	56.50	62.77	71.88	78.76	-2.11	0.092
♀	11	55.96	58.80	65.54	75.14	82.20	-1.89	0.094
♀	12	58.41	61.46	68.60	78.46	85.45	-1.65	0.094
♀	13	60.78	63.96	71.30	81.17	87.96	-1.49	0.092
♀	14	63.13	66.36	73.69	83.30	89.73	-1.38	0.088
♀	15	64.39	67.64	74.97	84.45	90.72	-1.32	0.086
♀	16	65.18	68.45	75.80	85.24	91.42	-1.28	0.085
♀	17	65.96	69.26	76.62	86.00	92.11	-1.24	0.084
♀	18	67.19	70.49	77.83	87.08	93.03	-1.19	0.082
♂	6	46.85	48.52	52.59	58.72	63.63	-3.33	0.072
♂	7	48.64	50.55	55.20	62.33	68.14	-3.09	0.079
♂	8	50.32	52.45	57.67	65.71	72.31	-2.86	0.085
♂	9	52.05	54.42	60.25	69.25	76.65	-2.63	0.091
♂	10	53.99	56.61	63.05	72.96	81.04	-2.42	0.096
♂	11	55.73	58.55	65.46	76.01	84.47	-2.25	0.099
♂	12	57.52	60.48	67.68	78.45	86.87	-2.11	0.099
♂	13	59.86	62.96	70.42	81.38	89.73	-2.00	0.098
♂	14	62.61	65.80	73.40	84.33	92.45	-1.93	0.095
♂	15	64.82	68.06	75.71	86.50	94.36	-1.88	0.092
♂	16	66.36	69.64	77.31	88.02	95.71	-1.85	0.090
♂	17	67.49	70.76	78.40	88.96	96.45	-1.83	0.088
♂	18	68.60	71.87	79.47	89.87	97.17	-1.81	0.086

Country: Turkey

turkish.ref

Citations

• Hatipoglu, N. et al. Waist circumference percentiles for 7- to 17-year-old Turkish children and adolescents. Eur J Pediatr 167, 383-389 (2008)
• Bundak, R. et al. Body mass index references for Turkish children. Acta Paediatrica 95, 194-198 (2006).
• Neyzi, O., Furman, A., Bundak, R., Gunoz, H., Darendeliler, F., Bas, F., 2006. Growth references for Turkish children aged 6 to 18 years. Acta Pædiatrica 95, 1635–1641. doi:10.1080/08035250600652013

WC_HATI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	45.38	47.88	53.35	60.03	64.21	-0.784	0.088
♀	8	46.25	48.91	54.74	61.96	66.51	-0.797	0.092
♀	9	47.42	50.20	56.38	64.10	69.02	-0.834	0.095
♀	10	48.90	51.77	58.18	66.28	71.50	-0.898	0.096
♀	11	50.46	53.40	59.98	68.37	73.82	-0.966	0.096
♀	12	52.06	55.03	61.72	70.30	75.92	-1.049	0.095
♀	13	53.80	56.74	63.36	71.93	77.59	-1.168	0.092
♀	14	55.25	58.15	64.74	73.37	79.14	-1.322	0.090
♀	15	56.39	59.22	65.65	74.16	79.91	-1.482	0.087
♀	16	57.21	59.94	66.19	74.51	80.19	-1.639	0.084
♀	17	57.87	60.51	66.55	74.65	80.22	-1.793	0.081
♂	7	45.76	48.39	54.18	61.30	65.77	-0.757	0.092
♂	8	47.25	50.08	56.41	64.45	69.66	-0.905	0.098
♂	9	48.66	51.67	58.50	67.38	73.25	-0.979	0.103
♂	10	50.04	53.22	60.46	69.94	76.26	-0.972	0.106
♂	11	51.52	54.87	62.51	72.48	79.10	-0.920	0.108
♂	12	53.12	56.66	64.65	75.01	81.83	-0.846	0.109
♂	13	54.92	58.60	66.85	77.36	84.17	-0.749	0.108
♂	14	56.69	60.49	68.91	79.43	86.11	-0.633	0.106
♂	15	58.14	62.04	70.57	81.02	87.54	-0.522	0.104
♂	16	59.21	63.19	71.84	82.31	88.76	-0.442	0.103
♂	17	60.34	64.35	73.02	83.39	89.72	-0.389	0.101

BMI_BUNDAK

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	12.60	13.44	15.65	19.59	23.51	-2.10	0.14
♀	7	13.04	13.74	15.53	18.41	20.91	-2.30	0.11
♀	8	13.12	13.92	15.93	19.11	21.76	-1.90	0.12
♀	9	13.05	14.04	16.48	20.24	23.23	-1.36	0.14
♀	10	13.40	14.49	17.22	21.45	24.82	-1.24	0.15
♀	11	13.78	14.99	17.90	22.10	25.15	-0.88	0.15
♀	12	14.84	16.14	19.14	23.13	25.81	-0.58	0.14
♀	13	15.63	16.93	20.01	24.30	27.32	-0.83	0.14
♀	14	16.77	17.94	20.68	24.46	27.12	-1.07	0.12
♀	15	17.51	18.56	21.09	24.72	27.41	-1.54	0.11
♀	16	17.55	18.59	21.10	24.77	27.54	-1.65	0.11
♀	17	17.72	18.81	21.39	25.03	27.65	-1.40	0.11
♀	18	18.90	19.92	22.19	25.12	27.04	-1.18	0.09
♂	6	13.49	13.99	15.25	17.36	19.33	-3.81	0.08
♂	7	13.31	14.02	15.73	18.21	20.07	-1.85	0.10
♂	8	13.33	14.12	16.02	18.82	20.95	-1.70	0.11
♂	9	13.84	14.64	16.60	19.53	21.81	-1.80	0.11
♂	10	13.58	14.49	16.77	20.41	23.47	-1.73	0.13
♂	11	14.15	15.30	18.29	23.38	27.97	-1.51	0.16
♂	12	14.51	16.00	19.61	24.81	28.57	-0.66	0.17
♂	13	14.98	16.38	19.78	24.79	28.51	-0.86	0.16
♂	14	15.67	17.06	20.40	25.14	28.52	-0.80	0.15
♂	15	16.71	17.93	21.00	25.92	30.04	-1.56	0.14
♂	16	17.46	18.69	21.70	26.24	29.77	-1.42	0.13
♂	17	18.53	19.75	22.69	27.00	30.25	-1.45	0.12
♂	18	18.32	19.76	23.11	27.63	30.70	-0.78	0.13

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	106.21	109.25	115.0	120.75	123.79	1	0.039
♀	7	111.28	114.64	121.0	127.36	130.72	1	0.041
♀	8	116.27	119.88	126.7	133.52	137.13	1	0.042
♀	9	120.71	124.65	132.1	139.55	143.49	1	0.044
♀	10	125.11	129.50	137.8	146.10	150.49	1	0.047
♀	11	132.01	136.64	145.4	154.16	158.79	1	0.047
♀	12	140.50	144.86	153.1	161.34	165.70	1	0.042
♀	13	146.05	150.12	157.8	165.48	169.55	1	0.038
♀	14	148.68	152.70	160.3	167.90	171.92	1	0.037
♀	15	150.29	154.24	161.7	169.16	173.11	1	0.036
♀	16	150.94	154.91	162.4	169.89	173.86	1	0.036
♀	17	151.22	155.19	162.7	170.21	174.18	1	0.036
♀	18	151.59	155.58	163.1	170.62	174.61	1	0.036
♂	6	106.91	110.05	116.0	121.95	125.09	1	0.040
♂	7	111.74	115.12	121.5	127.88	131.26	1	0.041
♂	8	116.45	120.07	126.9	133.73	137.35	1	0.042
♂	9	120.97	124.82	132.1	139.38	143.23	1	0.043
♂	10	126.00	130.02	137.6	145.18	149.20	1	0.043
♂	11	131.12	135.51	143.8	152.09	156.48	1	0.045
♂	12	136.43	141.34	150.6	159.86	164.77	1	0.048
♂	13	142.25	147.59	157.7	167.81	173.15	1	0.050
♂	14	149.71	154.97	164.9	174.83	180.09	1	0.047
♂	15	156.37	161.23	170.4	179.57	184.43	1	0.042
♂	16	160.49	164.96	173.4	181.84	186.31	1	0.038
♂	17	162.22	166.61	174.9	183.19	187.58	1	0.037
♂	18	163.93	168.11	176.0	183.89	188.07	1	0.035

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	13.88	16.13	20.4	24.70	26.99	0.97	0.164
♀	7	15.56	18.01	22.8	27.76	30.46	0.83	0.167
♀	8	17.47	20.17	25.6	31.44	34.69	0.67	0.172
♀	9	19.55	22.54	28.8	35.90	40.00	0.46	0.181
♀	10	22.00	25.33	32.7	41.67	47.14	0.21	0.194
♀	11	25.84	29.62	38.3	49.46	56.59	0.02	0.200
♀	12	31.48	35.75	45.2	56.72	63.78	0.14	0.180
♀	13	36.97	41.11	50.1	60.85	67.35	0.09	0.153
♀	14	41.04	44.95	53.3	63.05	68.86	0.08	0.132
♀	15	43.19	47.09	55.2	64.38	69.70	0.21	0.122
♀	16	44.34	48.25	56.3	65.29	70.46	0.27	0.118
♀	17	45.18	49.09	57.1	65.94	70.97	0.33	0.115
♀	18	46.17	50.12	58.1	66.80	71.71	0.40	0.112
♂	6	15.11	16.93	20.3	23.59	25.31	1.14	0.128
♂	7	16.75	18.99	23.2	27.38	29.58	1.04	0.141
♂	8	18.20	20.85	25.9	31.00	33.72	0.95	0.153
♂	9	19.61	22.73	28.8	35.05	38.43	0.86	0.167
♂	10	21.11	24.74	32.0	39.73	44.01	0.73	0.183
♂	11	24.25	28.60	37.9	48.62	54.89	0.46	0.206
♂	12	28.93	33.63	44.5	58.52	67.48	0.08	0.216
♂	13	32.65	37.85	49.7	64.69	74.13	0.12	0.209
♂	14	38.54	43.96	56.2	71.55	81.17	0.07	0.190
♂	15	44.34	49.93	62.2	77.01	86.03	0.13	0.169
♂	16	48.27	54.03	66.2	80.21	88.41	0.29	0.154
♂	17	51.02	56.90	69.1	82.78	90.63	0.39	0.146
♂	18	53.18	59.20	71.5	85.04	92.71	0.47	0.141

Region Australia

Country: Australia

kirk_bf.ref

Citations

• Kirk B, Bani Hassan E, Brennan-Olsen S, et al. Body composition reference ranges in community-dwelling adults using dual-energy X-ray absorptiometry: the Australian Body Composition (ABC) Study. Journal of Cachexia, Sarcopenia and Muscle 2021;12(4):880–90.

RAT_ALMAFM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	1.13	1.36	1.97	3.00	3.83	0.307	-0.310
♀	19	1.12	1.34	1.96	3.00	3.86	0.312	-0.315
♀	20	1.11	1.33	1.95	3.01	3.89	0.317	-0.320
♀	21	1.09	1.32	1.94	3.02	3.93	0.322	-0.326
♀	22	1.08	1.30	1.93	3.03	3.96	0.327	-0.331
♀	23	1.06	1.29	1.91	3.03	3.99	0.332	-0.337
♀	24	1.05	1.27	1.90	3.04	4.03	0.337	-0.343
♀	25	1.04	1.26	1.89	3.05	4.06	0.342	-0.349
♀	26	1.02	1.24	1.88	3.05	4.10	0.347	-0.355
♀	27	1.01	1.23	1.87	3.06	4.13	0.352	-0.361
♀	28	1.00	1.22	1.86	3.07	4.17	0.357	-0.367
♀	29	0.99	1.20	1.85	3.07	4.20	0.361	-0.374
♀	30	0.97	1.19	1.83	3.07	4.23	0.365	-0.380
♀	31	0.96	1.18	1.82	3.07	4.25	0.369	-0.387
♀	32	0.95	1.17	1.81	3.07	4.27	0.372	-0.393
♀	33	0.94	1.16	1.80	3.06	4.28	0.374	-0.400
♀	34	0.94	1.15	1.78	3.05	4.28	0.376	-0.407
♀	35	0.93	1.14	1.77	3.04	4.29	0.378	-0.414
♀	36	0.92	1.13	1.76	3.03	4.28	0.379	-0.421
♀	37	0.91	1.12	1.75	3.01	4.28	0.380	-0.428
♀	38	0.91	1.11	1.73	3.00	4.27	0.381	-0.436
♀	39	0.90	1.10	1.72	2.98	4.27	0.382	-0.443
♀	40	0.90	1.10	1.71	2.97	4.25	0.382	-0.451
♀	41	0.89	1.09	1.69	2.95	4.23	0.382	-0.458
♀	42	0.88	1.08	1.68	2.93	4.23	0.383	-0.466
♀	43	0.88	1.07	1.66	2.91	4.21	0.383	-0.474
♀	44	0.87	1.06	1.65	2.89	4.19	0.383	-0.482
♀	45	0.86	1.06	1.64	2.87	4.17	0.383	-0.489
♀	46	0.86	1.05	1.62	2.85	4.16	0.383	-0.498
♀	47	0.85	1.04	1.61	2.83	4.13	0.382	-0.506
♀	48	0.85	1.03	1.60	2.80	4.08	0.380	-0.514
♀	49	0.85	1.03	1.58	2.77	4.04	0.378	-0.522
♀	50	0.84	1.02	1.57	2.74	3.99	0.376	-0.531
♀	51	0.84	1.02	1.55	2.70	3.92	0.372	-0.539
♀	52	0.84	1.01	1.54	2.66	3.87	0.369	-0.548
♀	53	0.84	1.01	1.52	2.62	3.78	0.364	-0.556
♀	54	0.83	1.00	1.51	2.58	3.72	0.360	-0.565
♀	55	0.83	1.00	1.50	2.53	3.64	0.355	-0.574
♀	56	0.83	0.99	1.48	2.49	3.56	0.350	-0.583
♀	57	0.83	0.99	1.47	2.45	3.48	0.345	-0.592
♀	58	0.83	0.99	1.45	2.40	3.39	0.339	-0.601
♀	59	0.83	0.98	1.44	2.36	3.32	0.334	-0.610
♀	60	0.83	0.98	1.42	2.32	3.24	0.329	-0.619
♀	61	0.83	0.97	1.41	2.28	3.17	0.324	-0.628
♀	62	0.82	0.97	1.39	2.24	3.11	0.320	-0.638
♀	63	0.82	0.96	1.38	2.20	3.04	0.315	-0.647
♀	64	0.82	0.96	1.37	2.17	2.98	0.311	-0.657
♀	65	0.82	0.95	1.35	2.13	2.91	0.306	-0.666
♀	66	0.81	0.95	1.34	2.10	2.85	0.302	-0.676
♀	67	0.81	0.94	1.32	2.06	2.79	0.298	-0.686
♀	68	0.81	0.94	1.31	2.02	2.72	0.293	-0.696
♀	69	0.80	0.93	1.29	1.99	2.67	0.289	-0.705
♀	70	0.80	0.93	1.28	1.95	2.60	0.284	-0.715
♀	71	0.80	0.92	1.27	1.92	2.55	0.280	-0.725
♀	72	0.80	0.92	1.25	1.88	2.49	0.275	-0.735
♀	73	0.79	0.91	1.24	1.85	2.44	0.271	-0.746
♀	74	0.79	0.90	1.22	1.82	2.38	0.266	-0.756
♀	75	0.79	0.90	1.21	1.78	2.32	0.261	-0.766
♀	77	0.78	0.89	1.18	1.72	2.21	0.251	-0.787
♀	78	0.78	0.88	1.17	1.68	2.15	0.245	-0.798
♀	79	0.78	0.88	1.16	1.65	2.09	0.240	-0.808
♀	80	0.77	0.87	1.14	1.62	2.04	0.235	-0.819
♀	83	0.76	0.86	1.10	1.52	1.89	0.220	-0.851
♂	18	2.34	2.95	4.58	7.04	8.82	0.339	0.037
♂	19	2.27	2.88	4.52	7.07	8.94	0.350	0.019
♂	20	2.21	2.82	4.47	7.08	9.04	0.360	0.001
♂	21	2.14	2.75	4.41	7.11	9.17	0.371	-0.017
♂	22	2.08	2.69	4.36	7.13	9.29	0.381	-0.034
♂	23	2.03	2.62	4.30	7.15	9.41	0.391	-0.052
♂	24	1.98	2.57	4.25	7.15	9.49	0.399	-0.068
♂	25	1.94	2.52	4.19	7.13	9.53	0.405	-0.084
♂	26	1.91	2.48	4.14	7.09	9.54	0.409	-0.098
♂	27	1.89	2.45	4.09	7.03	9.50	0.411	-0.111
♂	28	1.87	2.42	4.03	6.96	9.44	0.412	-0.123
♂	29	1.85	2.40	3.99	6.88	9.35	0.411	-0.134
♂	30	1.85	2.38	3.94	6.80	9.24	0.409	-0.144
♂	31	1.84	2.36	3.90	6.71	9.13	0.407	-0.152
♂	32	1.83	2.35	3.86	6.63	9.00	0.404	-0.159
♂	33	1.82	2.33	3.83	6.55	8.90	0.402	-0.165
♂	34	1.82	2.32	3.79	6.49	8.80	0.400	-0.171
♂	35	1.82	2.31	3.77	6.42	8.69	0.397	-0.175
♂	36	1.81	2.31	3.74	6.36	8.62	0.395	-0.179
♂	37	1.81	2.30	3.72	6.31	8.52	0.392	-0.182
♂	38	1.81	2.30	3.71	6.26	8.45	0.390	-0.184
♂	39	1.82	2.30	3.69	6.21	8.36	0.387	-0.186
♂	40	1.82	2.29	3.68	6.17	8.30	0.385	-0.188
♂	41	1.82	2.29	3.66	6.12	8.21	0.382	-0.189
♂	42	1.82	2.29	3.65	6.08	8.13	0.379	-0.189
♂	43	1.82	2.29	3.64	6.04	8.07	0.377	-0.190
♂	44	1.83	2.29	3.63	5.99	7.98	0.374	-0.189
♂	45	1.83	2.29	3.62	5.95	7.91	0.371	-0.189
♂	46	1.83	2.29	3.60	5.91	7.83	0.368	-0.189
♂	47	1.83	2.29	3.59	5.87	7.76	0.366	-0.188
♂	48	1.84	2.29	3.58	5.82	7.68	0.363	-0.187
♂	49	1.83	2.29	3.57	5.79	7.61	0.361	-0.185
♂	50	1.83	2.28	3.56	5.76	7.57	0.360	-0.184
♂	51	1.83	2.28	3.54	5.73	7.52	0.359	-0.183
♂	52	1.82	2.27	3.53	5.70	7.47	0.358	-0.181
♂	53	1.82	2.26	3.51	5.66	7.42	0.357	-0.180
♂	54	1.81	2.25	3.49	5.63	7.38	0.357	-0.179
♂	55	1.80	2.24	3.48	5.59	7.32	0.356	-0.178
♂	56	1.79	2.23	3.45	5.57	7.29	0.357	-0.178
♂	57	1.77	2.21	3.43	5.53	7.24	0.357	-0.177
♂	58	1.76	2.19	3.41	5.50	7.21	0.358	-0.177
♂	59	1.74	2.17	3.38	5.46	7.17	0.359	-0.177
♂	60	1.72	2.15	3.35	5.42	7.12	0.360	-0.177
♂	61	1.71	2.13	3.32	5.38	7.08	0.361	-0.177
♂	62	1.69	2.11	3.29	5.35	7.05	0.363	-0.178
♂	63	1.67	2.08	3.26	5.31	7.00	0.364	-0.179
♂	64	1.65	2.06	3.23	5.28	6.97	0.366	-0.181
♂	65	1.62	2.04	3.20	5.24	6.93	0.368	-0.182
♂	66	1.61	2.01	3.17	5.20	6.89	0.369	-0.184
♂	67	1.59	1.99	3.14	5.16	6.85	0.371	-0.186
♂	68	1.57	1.97	3.11	5.12	6.81	0.372	-0.188
♂	69	1.55	1.95	3.08	5.08	6.76	0.373	-0.191
♂	70	1.54	1.93	3.05	5.04	6.72	0.374	-0.194
♂	71	1.52	1.91	3.02	5.00	6.67	0.375	-0.197
♂	72	1.50	1.89	2.99	4.96	6.63	0.376	-0.201
♂	73	1.49	1.87	2.96	4.91	6.57	0.376	-0.204
♂	74	1.47	1.85	2.93	4.87	6.53	0.377	-0.208
♂	75	1.46	1.83	2.90	4.83	6.48	0.377	-0.212
♂	76	1.45	1.81	2.87	4.78	6.42	0.377	-0.216
♂	77	1.44	1.80	2.84	4.73	6.35	0.376	-0.220
♂	78	1.42	1.78	2.81	4.68	6.29	0.376	-0.225
♂	79	1.41	1.76	2.78	4.63	6.22	0.375	-0.229
♂	81	1.39	1.73	2.72	4.53	6.10	0.374	-0.238
♂	82	1.37	1.71	2.69	4.48	6.03	0.373	-0.242
♂	88	1.31	1.62	2.53	4.17	5.60	0.366	-0.269

RAT_ALMBMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	0.61	0.68	0.84	1.00	1.10	0.149	0.489
♀	19	0.61	0.68	0.83	1.00	1.09	0.149	0.483
♀	20	0.60	0.68	0.83	1.00	1.09	0.150	0.477
♀	21	0.60	0.68	0.83	1.00	1.09	0.151	0.471
♀	22	0.60	0.67	0.82	0.99	1.09	0.152	0.464
♀	23	0.59	0.67	0.82	0.99	1.09	0.153	0.458
♀	24	0.59	0.67	0.82	0.99	1.09	0.154	0.452
♀	25	0.59	0.66	0.82	0.99	1.08	0.155	0.446
♀	26	0.59	0.66	0.81	0.98	1.08	0.156	0.440
♀	27	0.58	0.66	0.81	0.98	1.08	0.157	0.434
♀	28	0.58	0.65	0.81	0.98	1.08	0.158	0.428
♀	29	0.58	0.65	0.81	0.98	1.08	0.159	0.421
♀	30	0.57	0.65	0.80	0.98	1.08	0.160	0.415
♀	31	0.57	0.64	0.80	0.97	1.08	0.161	0.409
♀	32	0.57	0.64	0.80	0.97	1.07	0.161	0.403
♀	33	0.56	0.64	0.79	0.97	1.07	0.162	0.397
♀	34	0.56	0.64	0.79	0.97	1.07	0.163	0.391
♀	35	0.56	0.63	0.79	0.96	1.06	0.164	0.384
♀	36	0.56	0.63	0.78	0.96	1.06	0.164	0.378
♀	37	0.55	0.63	0.78	0.96	1.06	0.165	0.372
♀	38	0.55	0.62	0.78	0.95	1.06	0.166	0.366
♀	39	0.55	0.62	0.77	0.95	1.05	0.166	0.360
♀	40	0.54	0.62	0.77	0.95	1.05	0.167	0.354
♀	41	0.54	0.61	0.76	0.94	1.04	0.168	0.347
♀	42	0.54	0.61	0.76	0.94	1.04	0.168	0.341
♀	43	0.53	0.60	0.76	0.93	1.04	0.169	0.335
♀	44	0.53	0.60	0.75	0.93	1.03	0.170	0.329
♀	45	0.53	0.60	0.75	0.92	1.03	0.170	0.323
♀	46	0.52	0.59	0.74	0.92	1.02	0.171	0.317
♀	47	0.52	0.59	0.74	0.91	1.02	0.171	0.311
♀	48	0.52	0.59	0.74	0.91	1.01	0.172	0.304
♀	49	0.51	0.58	0.73	0.90	1.01	0.172	0.298
♀	50	0.51	0.58	0.73	0.90	1.00	0.173	0.292
♀	51	0.51	0.57	0.72	0.90	1.00	0.173	0.286
♀	52	0.50	0.57	0.72	0.89	0.99	0.174	0.280
♀	53	0.50	0.57	0.71	0.88	0.99	0.174	0.274
♀	54	0.49	0.56	0.71	0.88	0.98	0.174	0.267
♀	55	0.49	0.56	0.70	0.87	0.97	0.174	0.261
♀	56	0.49	0.55	0.70	0.87	0.97	0.175	0.255
♀	57	0.48	0.55	0.69	0.86	0.96	0.175	0.249
♀	58	0.48	0.55	0.69	0.86	0.96	0.175	0.243
♀	59	0.48	0.54	0.68	0.85	0.95	0.175	0.237
♀	60	0.47	0.54	0.68	0.84	0.94	0.175	0.230
♀	61	0.47	0.53	0.67	0.84	0.94	0.175	0.224
♀	62	0.47	0.53	0.67	0.83	0.93	0.175	0.218
♀	63	0.46	0.53	0.66	0.83	0.92	0.176	0.212
♀	64	0.46	0.52	0.66	0.82	0.92	0.176	0.206
♀	65	0.46	0.52	0.65	0.81	0.91	0.176	0.200
♀	66	0.45	0.51	0.65	0.81	0.90	0.176	0.193
♀	67	0.45	0.51	0.64	0.80	0.90	0.176	0.187
♀	68	0.45	0.51	0.64	0.79	0.89	0.176	0.181
♀	69	0.44	0.50	0.63	0.79	0.88	0.176	0.175
♀	70	0.44	0.50	0.63	0.78	0.88	0.176	0.169
♀	71	0.44	0.49	0.62	0.78	0.87	0.176	0.163
♀	72	0.43	0.49	0.62	0.77	0.86	0.176	0.157
♀	73	0.43	0.49	0.61	0.76	0.86	0.176	0.150
♀	74	0.43	0.48	0.61	0.76	0.85	0.176	0.144
♀	75	0.42	0.48	0.60	0.75	0.84	0.176	0.138
♀	77	0.42	0.47	0.59	0.74	0.83	0.177	0.126
♀	78	0.41	0.47	0.59	0.73	0.82	0.177	0.120
♀	79	0.41	0.46	0.58	0.73	0.82	0.177	0.113
♀	80	0.41	0.46	0.58	0.72	0.81	0.177	0.107
♀	83	0.40	0.45	0.56	0.71	0.79	0.177	0.089
♂	18	0.92	1.02	1.20	1.36	1.45	0.112	1.577
♂	19	0.91	1.01	1.19	1.36	1.44	0.113	1.563
♂	20	0.90	1.00	1.19	1.35	1.44	0.115	1.548
♂	21	0.89	0.99	1.18	1.35	1.44	0.117	1.533
♂	22	0.88	0.99	1.17	1.34	1.43	0.118	1.518
♂	23	0.87	0.98	1.17	1.34	1.43	0.120	1.503
♂	24	0.87	0.97	1.16	1.33	1.42	0.121	1.488
♂	25	0.86	0.97	1.15	1.33	1.42	0.122	1.473
♂	26	0.85	0.96	1.15	1.32	1.41	0.123	1.458
♂	27	0.85	0.95	1.14	1.32	1.41	0.124	1.443
♂	28	0.84	0.95	1.14	1.31	1.40	0.125	1.428
♂	29	0.84	0.94	1.13	1.31	1.40	0.125	1.414
♂	30	0.83	0.94	1.13	1.30	1.39	0.126	1.399
♂	31	0.83	0.93	1.12	1.30	1.39	0.126	1.384
♂	32	0.83	0.93	1.12	1.29	1.38	0.126	1.369
♂	33	0.82	0.93	1.11	1.29	1.38	0.127	1.354
♂	34	0.82	0.92	1.11	1.29	1.38	0.127	1.339
♂	35	0.82	0.92	1.11	1.28	1.37	0.127	1.324
♂	36	0.82	0.92	1.10	1.28	1.37	0.126	1.309
♂	37	0.82	0.92	1.10	1.28	1.37	0.126	1.295
♂	38	0.82	0.92	1.10	1.27	1.36	0.126	1.280
♂	39	0.82	0.91	1.10	1.27	1.36	0.126	1.265
♂	40	0.81	0.91	1.09	1.27	1.36	0.126	1.250
♂	41	0.81	0.91	1.09	1.26	1.35	0.126	1.235
♂	42	0.81	0.91	1.09	1.26	1.35	0.126	1.220
♂	43	0.81	0.91	1.08	1.26	1.35	0.126	1.205
♂	44	0.81	0.90	1.08	1.25	1.34	0.126	1.190
♂	45	0.81	0.90	1.08	1.25	1.34	0.126	1.175
♂	46	0.80	0.90	1.07	1.25	1.33	0.126	1.161
♂	47	0.80	0.90	1.07	1.24	1.33	0.126	1.146
♂	48	0.80	0.89	1.07	1.24	1.33	0.127	1.131
♂	49	0.79	0.89	1.06	1.23	1.32	0.127	1.116
♂	50	0.79	0.88	1.06	1.23	1.32	0.127	1.101
♂	51	0.79	0.88	1.05	1.22	1.31	0.127	1.086
♂	52	0.78	0.88	1.05	1.22	1.31	0.128	1.071
♂	53	0.78	0.87	1.04	1.21	1.30	0.128	1.056
♂	54	0.78	0.87	1.04	1.21	1.30	0.128	1.041
♂	55	0.77	0.86	1.03	1.20	1.29	0.129	1.027
♂	56	0.77	0.86	1.03	1.20	1.29	0.129	1.012
♂	57	0.76	0.85	1.02	1.19	1.28	0.130	0.997
♂	58	0.76	0.84	1.01	1.19	1.28	0.131	0.982
♂	59	0.75	0.84	1.01	1.18	1.27	0.132	0.967
♂	60	0.74	0.83	1.00	1.17	1.26	0.133	0.952
♂	61	0.74	0.83	1.00	1.17	1.26	0.134	0.937
♂	62	0.73	0.82	0.99	1.16	1.25	0.135	0.922
♂	63	0.72	0.81	0.98	1.16	1.25	0.136	0.907
♂	64	0.72	0.81	0.98	1.15	1.24	0.137	0.893
♂	65	0.71	0.80	0.97	1.14	1.24	0.138	0.878
♂	66	0.71	0.79	0.96	1.14	1.23	0.139	0.863
♂	67	0.70	0.79	0.96	1.13	1.23	0.140	0.848
♂	68	0.69	0.78	0.95	1.13	1.22	0.142	0.833
♂	69	0.69	0.78	0.95	1.12	1.22	0.143	0.818
♂	70	0.68	0.77	0.94	1.12	1.21	0.144	0.803
♂	71	0.68	0.76	0.94	1.11	1.21	0.145	0.788
♂	72	0.67	0.76	0.93	1.11	1.20	0.146	0.773
♂	73	0.67	0.75	0.92	1.10	1.20	0.148	0.759
♂	74	0.66	0.75	0.92	1.10	1.20	0.149	0.744
♂	75	0.66	0.74	0.91	1.09	1.19	0.150	0.729
♂	76	0.65	0.74	0.91	1.09	1.19	0.151	0.714
♂	77	0.65	0.73	0.90	1.08	1.18	0.152	0.699
♂	78	0.64	0.73	0.90	1.08	1.18	0.153	0.684
♂	79	0.64	0.72	0.89	1.07	1.17	0.154	0.669
♂	81	0.63	0.71	0.88	1.06	1.16	0.156	0.640
♂	82	0.62	0.71	0.88	1.06	1.16	0.157	0.625

RAT_ALMBSA_FORM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	9.24	9.95	11.38	12.92	13.79	0.102	0.388
♀	19	9.23	9.94	11.36	12.91	13.78	0.102	0.385
♀	20	9.22	9.93	11.35	12.89	13.76	0.102	0.383
♀	21	9.21	9.91	11.34	12.88	13.75	0.102	0.381
♀	22	9.20	9.90	11.32	12.87	13.73	0.102	0.378
♀	23	9.19	9.89	11.31	12.85	13.72	0.102	0.376
♀	24	9.18	9.88	11.30	12.84	13.70	0.102	0.373
♀	25	9.15	9.86	11.28	12.84	13.71	0.103	0.371
♀	26	9.14	9.84	11.27	12.82	13.69	0.103	0.368
♀	27	9.13	9.83	11.26	12.81	13.68	0.103	0.365
♀	28	9.12	9.82	11.24	12.79	13.66	0.103	0.363
♀	29	9.10	9.81	11.23	12.77	13.64	0.103	0.360
♀	30	9.09	9.80	11.21	12.76	13.63	0.103	0.357
♀	31	9.06	9.77	11.20	12.76	13.64	0.104	0.354
♀	32	9.05	9.76	11.18	12.74	13.62	0.104	0.351
♀	33	9.04	9.74	11.17	12.72	13.60	0.104	0.348
♀	34	9.03	9.73	11.15	12.70	13.58	0.104	0.345
♀	35	9.01	9.71	11.13	12.68	13.56	0.104	0.342
♀	36	9.00	9.70	11.11	12.66	13.54	0.104	0.339
♀	37	8.96	9.67	11.09	12.65	13.54	0.105	0.336
♀	38	8.95	9.65	11.07	12.63	13.51	0.105	0.333
♀	39	8.93	9.63	11.05	12.60	13.48	0.105	0.329
♀	40	8.91	9.61	11.02	12.57	13.45	0.105	0.326
♀	41	8.89	9.58	11.00	12.54	13.42	0.105	0.323
♀	42	8.86	9.56	10.97	12.51	13.38	0.105	0.319
♀	43	8.82	9.52	10.94	12.49	13.37	0.106	0.316
♀	44	8.79	9.49	10.90	12.45	13.33	0.106	0.312
♀	45	8.77	9.46	10.87	12.41	13.29	0.106	0.309
♀	46	8.74	9.43	10.83	12.37	13.25	0.106	0.305
♀	47	8.71	9.39	10.79	12.33	13.20	0.106	0.302
♀	48	8.66	9.34	10.75	12.29	13.17	0.107	0.298
♀	49	8.62	9.31	10.70	12.25	13.12	0.107	0.295
♀	50	8.59	9.27	10.66	12.19	13.07	0.107	0.291
♀	51	8.55	9.23	10.61	12.14	13.01	0.107	0.287
♀	52	8.51	9.19	10.56	12.09	12.95	0.107	0.283
♀	53	8.45	9.13	10.52	12.05	12.92	0.108	0.280
♀	54	8.41	9.09	10.46	11.99	12.85	0.108	0.276
♀	55	8.37	9.04	10.41	11.93	12.79	0.108	0.272
♀	56	8.33	8.99	10.36	11.86	12.72	0.108	0.268
♀	57	8.27	8.94	10.30	11.82	12.68	0.109	0.264
♀	58	8.22	8.89	10.25	11.75	12.61	0.109	0.260
♀	59	8.18	8.84	10.19	11.69	12.54	0.109	0.256
♀	60	8.13	8.79	10.13	11.62	12.47	0.109	0.252
♀	61	8.09	8.74	10.07	11.56	12.40	0.109	0.248
♀	62	8.02	8.67	10.01	11.50	12.35	0.110	0.244
♀	63	7.98	8.62	9.95	11.43	12.28	0.110	0.240
♀	64	7.93	8.57	9.89	11.36	12.21	0.110	0.236
♀	65	7.88	8.52	9.83	11.30	12.13	0.110	0.231
♀	66	7.82	8.46	9.77	11.24	12.08	0.111	0.227
♀	67	7.77	8.40	9.71	11.17	12.01	0.111	0.223
♀	68	7.72	8.35	9.65	11.10	11.93	0.111	0.219
♀	69	7.67	8.30	9.59	11.03	11.86	0.111	0.214
♀	70	7.61	8.24	9.53	10.98	11.81	0.112	0.210
♀	71	7.56	8.18	9.47	10.91	11.74	0.112	0.205
♀	72	7.52	8.13	9.41	10.84	11.66	0.112	0.201
♀	73	7.45	8.07	9.35	10.78	11.61	0.113	0.197
♀	74	7.41	8.02	9.29	10.72	11.54	0.113	0.192
♀	75	7.36	7.97	9.23	10.65	11.47	0.113	0.188
♀	77	7.26	7.86	9.11	10.53	11.35	0.114	0.178
♀	78	7.21	7.81	9.05	10.46	11.27	0.114	0.174
♀	79	7.16	7.76	8.99	10.39	11.20	0.114	0.169
♀	80	7.12	7.71	8.94	10.32	11.13	0.114	0.164
♀	83	6.96	7.55	8.76	10.13	10.93	0.115	0.150
♂	18	12.72	13.44	14.87	16.37	17.21	0.077	0.434
♂	19	12.68	13.41	14.87	16.42	17.28	0.079	0.392
♂	20	12.61	13.36	14.88	16.49	17.39	0.082	0.350
♂	21	12.56	13.33	14.88	16.54	17.47	0.084	0.309
♂	22	12.51	13.30	14.87	16.58	17.53	0.086	0.269
♂	23	12.46	13.25	14.86	16.61	17.60	0.088	0.231
♂	24	12.43	13.23	14.84	16.61	17.62	0.089	0.195
♂	25	12.37	13.17	14.82	16.63	17.67	0.091	0.162
♂	26	12.32	13.13	14.79	16.63	17.67	0.092	0.133
♂	27	12.28	13.09	14.76	16.61	17.68	0.093	0.109
♂	28	12.25	13.06	14.72	16.57	17.64	0.093	0.088
♂	29	12.20	13.01	14.69	16.56	17.63	0.094	0.072
♂	30	12.17	12.98	14.65	16.52	17.60	0.094	0.060
♂	31	12.15	12.95	14.62	16.48	17.56	0.094	0.051
♂	32	12.15	12.94	14.59	16.43	17.49	0.093	0.045
♂	33	12.12	12.92	14.56	16.39	17.46	0.093	0.042
♂	34	12.10	12.90	14.53	16.37	17.43	0.093	0.041
♂	35	12.11	12.89	14.51	16.32	17.36	0.092	0.042
♂	36	12.11	12.89	14.49	16.28	17.31	0.091	0.046
♂	37	12.10	12.88	14.47	16.26	17.28	0.091	0.053
♂	38	12.11	12.88	14.46	16.22	17.23	0.090	0.062
♂	39	12.09	12.86	14.44	16.20	17.21	0.090	0.075
♂	40	12.10	12.86	14.42	16.15	17.15	0.089	0.092
♂	41	12.08	12.84	14.40	16.13	17.12	0.089	0.114
♂	42	12.08	12.84	14.38	16.08	17.05	0.088	0.139
♂	43	12.05	12.81	14.36	16.06	17.02	0.088	0.170
♂	44	12.03	12.79	14.34	16.03	16.98	0.088	0.204
♂	45	12.00	12.76	14.31	15.99	16.94	0.088	0.244
♂	46	11.96	12.73	14.28	15.96	16.90	0.088	0.287
♂	47	11.95	12.72	14.25	15.90	16.82	0.087	0.335
♂	48	11.92	12.68	14.22	15.86	16.77	0.087	0.387
♂	49	11.88	12.65	14.18	15.81	16.71	0.087	0.442
♂	50	11.83	12.61	14.14	15.76	16.66	0.087	0.502
♂	51	11.79	12.57	14.10	15.71	16.59	0.087	0.564
♂	52	11.74	12.52	14.06	15.66	16.53	0.087	0.630
♂	53	11.68	12.47	14.01	15.60	16.46	0.087	0.699
♂	54	11.62	12.42	13.96	15.53	16.38	0.087	0.772
♂	55	11.54	12.35	13.90	15.48	16.33	0.088	0.847
♂	56	11.47	12.29	13.84	15.41	16.24	0.088	0.927
♂	57	11.40	12.22	13.78	15.33	16.15	0.088	1.010
♂	58	11.32	12.15	13.71	15.25	16.05	0.088	1.096
♂	59	11.22	12.06	13.64	15.18	15.98	0.089	1.187
♂	60	11.13	11.99	13.56	15.09	15.88	0.089	1.281
♂	61	11.02	11.90	13.49	15.01	15.79	0.090	1.379
♂	62	10.93	11.82	13.41	14.92	15.69	0.090	1.480
♂	63	10.84	11.74	13.33	14.82	15.58	0.090	1.584
♂	64	10.75	11.66	13.26	14.73	15.47	0.090	1.691
♂	65	10.66	11.58	13.18	14.64	15.36	0.090	1.801
♂	66	10.54	11.49	13.10	14.56	15.28	0.091	1.911
♂	67	10.45	11.41	13.03	14.47	15.18	0.091	2.024
♂	68	10.36	11.34	12.96	14.39	15.08	0.091	2.138
♂	69	10.27	11.26	12.90	14.30	14.98	0.091	2.253
♂	70	10.18	11.20	12.83	14.22	14.89	0.091	2.367
♂	71	10.09	11.13	12.77	14.15	14.80	0.091	2.482
♂	72	10.01	11.07	12.72	14.08	14.72	0.091	2.597
♂	73	9.92	11.01	12.66	14.01	14.64	0.091	2.712
♂	74	9.84	10.95	12.61	13.95	14.57	0.091	2.826
♂	75	9.76	10.89	12.56	13.89	14.50	0.091	2.940
♂	76	9.68	10.83	12.51	13.83	14.43	0.091	3.055
♂	77	9.55	10.76	12.47	13.78	14.38	0.092	3.169
♂	78	9.47	10.71	12.42	13.72	14.31	0.092	3.282
♂	79	9.39	10.65	12.38	13.67	14.25	0.092	3.396
♂	81	9.23	10.55	12.29	13.56	14.12	0.092	3.623
♂	82	9.10	10.48	12.25	13.52	14.07	0.093	3.737
♂	88	8.64	10.17	12.00	13.21	13.72	0.094	4.418

RAT_ALMBSA_STAREA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	8.98	9.71	11.19	12.84	13.77	0.109	0.305
♀	19	8.98	9.70	11.19	12.83	13.77	0.109	0.280
♀	20	8.98	9.70	11.19	12.83	13.77	0.109	0.255
♀	21	8.98	9.70	11.18	12.83	13.78	0.109	0.229
♀	22	8.97	9.69	11.18	12.85	13.81	0.110	0.203
♀	23	8.97	9.69	11.18	12.84	13.81	0.110	0.176
♀	24	8.97	9.69	11.17	12.84	13.81	0.110	0.148
♀	25	8.97	9.69	11.17	12.84	13.81	0.110	0.121
♀	26	8.98	9.68	11.16	12.84	13.82	0.110	0.093
♀	27	8.96	9.67	11.16	12.85	13.85	0.111	0.065
♀	28	8.96	9.67	11.15	12.85	13.85	0.111	0.037
♀	29	8.96	9.67	11.15	12.85	13.85	0.111	0.009
♀	30	8.97	9.67	11.14	12.85	13.85	0.111	-0.019
♀	31	8.97	9.66	11.14	12.84	13.86	0.111	-0.047
♀	32	8.95	9.65	11.13	12.86	13.88	0.112	-0.074
♀	33	8.95	9.64	11.12	12.85	13.89	0.112	-0.101
♀	34	8.95	9.64	11.11	12.85	13.88	0.112	-0.128
♀	35	8.95	9.63	11.10	12.84	13.88	0.112	-0.154
♀	36	8.93	9.62	11.09	12.85	13.91	0.113	-0.180
♀	37	8.92	9.61	11.08	12.84	13.90	0.113	-0.206
♀	38	8.92	9.60	11.07	12.83	13.90	0.113	-0.232
♀	39	8.91	9.59	11.06	12.82	13.89	0.113	-0.257
♀	40	8.89	9.57	11.04	12.82	13.91	0.114	-0.282
♀	41	8.88	9.56	11.02	12.80	13.89	0.114	-0.305
♀	42	8.87	9.54	11.01	12.78	13.88	0.114	-0.328
♀	43	8.86	9.53	10.99	12.76	13.86	0.114	-0.349
♀	44	8.83	9.50	10.97	12.76	13.87	0.115	-0.369
♀	45	8.82	9.48	10.94	12.74	13.85	0.115	-0.387
♀	46	8.80	9.46	10.92	12.71	13.83	0.115	-0.403
♀	47	8.78	9.44	10.90	12.68	13.80	0.115	-0.417
♀	48	8.75	9.41	10.87	12.67	13.81	0.116	-0.428
♀	49	8.73	9.39	10.84	12.64	13.78	0.116	-0.438
♀	50	8.71	9.37	10.81	12.61	13.74	0.116	-0.445
♀	51	8.67	9.33	10.79	12.60	13.74	0.117	-0.450
♀	52	8.65	9.30	10.76	12.56	13.70	0.117	-0.453
♀	53	8.62	9.28	10.73	12.53	13.67	0.117	-0.454
♀	54	8.58	9.24	10.70	12.51	13.66	0.118	-0.454
♀	55	8.56	9.21	10.66	12.47	13.61	0.118	-0.451
♀	56	8.53	9.18	10.63	12.43	13.57	0.118	-0.447
♀	57	8.50	9.15	10.60	12.39	13.53	0.118	-0.441
♀	58	8.46	9.11	10.56	12.37	13.51	0.119	-0.434
♀	59	8.43	9.08	10.53	12.33	13.46	0.119	-0.425
♀	60	8.40	9.05	10.49	12.28	13.41	0.119	-0.415
♀	61	8.35	9.01	10.46	12.26	13.39	0.120	-0.403
♀	62	8.32	8.97	10.42	12.21	13.34	0.120	-0.390
♀	63	8.29	8.94	10.38	12.17	13.28	0.120	-0.376
♀	64	8.24	8.90	10.35	12.13	13.26	0.121	-0.360
♀	65	8.21	8.86	10.31	12.09	13.20	0.121	-0.343
♀	66	8.16	8.82	10.27	12.06	13.17	0.122	-0.324
♀	67	8.12	8.78	10.23	12.01	13.11	0.122	-0.305
♀	68	8.09	8.74	10.19	11.96	13.05	0.122	-0.284
♀	69	8.04	8.70	10.15	11.92	13.02	0.123	-0.263
♀	70	8.00	8.66	10.11	11.87	12.96	0.123	-0.241
♀	71	7.96	8.63	10.07	11.82	12.90	0.123	-0.219
♀	72	7.91	8.58	10.03	11.79	12.87	0.124	-0.196
♀	73	7.88	8.54	9.99	11.74	12.81	0.124	-0.174
♀	74	7.84	8.51	9.95	11.69	12.75	0.124	-0.150
♀	75	7.79	8.46	9.91	11.66	12.72	0.125	-0.127
♀	77	7.70	8.38	9.84	11.57	12.62	0.126	-0.079
♀	78	7.67	8.34	9.80	11.52	12.56	0.126	-0.055
♀	79	7.63	8.31	9.76	11.47	12.50	0.126	-0.031
♀	80	7.58	8.26	9.72	11.44	12.47	0.127	-0.007
♀	83	7.45	8.14	9.60	11.30	12.31	0.128	0.067
♂	18	11.80	12.44	13.76	15.27	16.14	0.080	-0.223
♂	19	11.90	12.57	13.97	15.59	16.54	0.084	-0.318
♂	20	12.00	12.69	14.15	15.86	16.88	0.087	-0.406
♂	21	12.07	12.78	14.30	16.10	17.19	0.090	-0.486
♂	22	12.11	12.84	14.41	16.30	17.46	0.093	-0.559
♂	23	12.14	12.88	14.48	16.44	17.65	0.095	-0.621
♂	24	12.14	12.89	14.52	16.53	17.80	0.097	-0.672
♂	25	12.14	12.89	14.53	16.58	17.87	0.098	-0.711
♂	26	12.10	12.85	14.53	16.62	17.96	0.100	-0.739
♂	27	12.09	12.84	14.51	16.61	17.94	0.100	-0.758
♂	28	12.06	12.81	14.49	16.61	17.97	0.101	-0.773
♂	29	12.04	12.79	14.47	16.59	17.95	0.101	-0.785
♂	30	12.03	12.78	14.45	16.57	17.93	0.101	-0.798
♂	31	12.02	12.77	14.44	16.55	17.92	0.101	-0.809
♂	32	12.01	12.76	14.43	16.54	17.91	0.101	-0.819
♂	33	12.02	12.77	14.42	16.51	17.86	0.100	-0.827
♂	34	12.02	12.76	14.41	16.50	17.85	0.100	-0.831
♂	35	12.04	12.77	14.41	16.48	17.81	0.099	-0.832
♂	36	12.04	12.77	14.41	16.47	17.80	0.099	-0.829
♂	37	12.03	12.77	14.40	16.47	17.80	0.099	-0.822
♂	38	12.05	12.78	14.40	16.44	17.74	0.098	-0.808
♂	39	12.04	12.77	14.40	16.43	17.73	0.098	-0.790
♂	40	12.03	12.76	14.39	16.42	17.71	0.098	-0.765
♂	41	12.01	12.75	14.37	16.40	17.68	0.098	-0.736
♂	42	12.01	12.74	14.35	16.35	17.60	0.097	-0.702
♂	43	11.98	12.72	14.33	16.32	17.56	0.097	-0.663
♂	44	11.95	12.69	14.31	16.28	17.52	0.097	-0.621
♂	45	11.92	12.66	14.28	16.24	17.46	0.097	-0.574
♂	46	11.89	12.63	14.25	16.20	17.41	0.097	-0.524
♂	47	11.85	12.60	14.21	16.16	17.35	0.097	-0.470
♂	48	11.81	12.56	14.18	16.11	17.28	0.097	-0.414
♂	49	11.76	12.52	14.14	16.06	17.21	0.097	-0.355
♂	50	11.72	12.48	14.10	16.00	17.14	0.097	-0.293
♂	51	11.67	12.43	14.05	15.94	17.07	0.097	-0.230
♂	52	11.61	12.38	14.00	15.88	16.99	0.097	-0.166
♂	53	11.56	12.33	13.95	15.81	16.90	0.097	-0.100
♂	54	11.50	12.27	13.89	15.74	16.81	0.097	-0.034
♂	55	11.43	12.22	13.84	15.66	16.72	0.097	0.034
♂	56	11.37	12.15	13.77	15.58	16.63	0.097	0.103
♂	57	11.30	12.09	13.71	15.50	16.53	0.097	0.173
♂	58	11.23	12.03	13.64	15.42	16.43	0.097	0.243
♂	59	11.14	11.94	13.58	15.36	16.36	0.098	0.314
♂	60	11.06	11.87	13.51	15.27	16.25	0.098	0.385
♂	61	10.99	11.80	13.43	15.18	16.15	0.098	0.456
♂	62	10.91	11.73	13.36	15.09	16.04	0.098	0.527
♂	63	10.83	11.66	13.29	15.00	15.94	0.098	0.598
♂	64	10.76	11.59	13.21	14.91	15.83	0.098	0.669
♂	65	10.68	11.52	13.14	14.82	15.73	0.098	0.739
♂	66	10.58	11.43	13.07	14.75	15.65	0.099	0.809
♂	67	10.51	11.36	13.00	14.66	15.55	0.099	0.878
♂	68	10.44	11.30	12.93	14.58	15.45	0.099	0.946
♂	69	10.36	11.23	12.86	14.49	15.36	0.099	1.013
♂	70	10.29	11.17	12.80	14.41	15.26	0.099	1.080
♂	71	10.23	11.10	12.74	14.34	15.18	0.099	1.145
♂	72	10.13	11.03	12.68	14.28	15.11	0.100	1.210
♂	73	10.07	10.97	12.62	14.21	15.03	0.100	1.274
♂	74	10.01	10.91	12.56	14.14	14.95	0.100	1.337
♂	75	9.94	10.86	12.51	14.07	14.87	0.100	1.399
♂	76	9.88	10.80	12.45	14.00	14.79	0.100	1.461
♂	77	9.82	10.75	12.40	13.94	14.72	0.100	1.521
♂	78	9.77	10.70	12.35	13.88	14.65	0.100	1.581
♂	79	9.68	10.63	12.30	13.83	14.60	0.101	1.640
♂	81	9.57	10.54	12.20	13.71	14.46	0.101	1.756
♂	82	9.51	10.49	12.16	13.65	14.40	0.101	1.812
♂	88	9.16	10.20	11.89	13.35	14.05	0.102	2.139

RAT_ALMBSA_TOTALAREA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	7.89	8.55	9.91	11.40	12.25	0.112	0.331
♀	19	7.89	8.55	9.91	11.40	12.25	0.112	0.304
♀	20	7.88	8.54	9.90	11.41	12.28	0.113	0.277
♀	21	7.88	8.54	9.90	11.42	12.28	0.113	0.249
♀	22	7.89	8.54	9.90	11.42	12.29	0.113	0.221
♀	23	7.89	8.55	9.90	11.42	12.29	0.113	0.192
♀	24	7.90	8.55	9.89	11.42	12.30	0.113	0.163
♀	25	7.88	8.53	9.89	11.43	12.33	0.114	0.133
♀	26	7.89	8.54	9.89	11.43	12.33	0.114	0.103
♀	27	7.89	8.54	9.89	11.43	12.34	0.114	0.073
♀	28	7.90	8.54	9.88	11.43	12.34	0.114	0.043
♀	29	7.90	8.53	9.88	11.43	12.35	0.114	0.014
♀	30	7.89	8.52	9.88	11.45	12.38	0.115	-0.016
♀	31	7.89	8.52	9.87	11.45	12.38	0.115	-0.045
♀	32	7.89	8.52	9.87	11.44	12.39	0.115	-0.074
♀	33	7.89	8.52	9.86	11.44	12.39	0.115	-0.102
♀	34	7.89	8.52	9.86	11.44	12.39	0.115	-0.131
♀	35	7.88	8.50	9.85	11.45	12.42	0.116	-0.159
♀	36	7.88	8.50	9.84	11.44	12.41	0.116	-0.187
♀	37	7.87	8.49	9.83	11.44	12.41	0.116	-0.214
♀	38	7.87	8.49	9.82	11.43	12.41	0.116	-0.242
♀	39	7.85	8.47	9.81	11.43	12.43	0.117	-0.269
♀	40	7.85	8.46	9.80	11.42	12.42	0.117	-0.295
♀	41	7.84	8.45	9.78	11.41	12.41	0.117	-0.320
♀	42	7.83	8.44	9.77	11.39	12.40	0.117	-0.345
♀	43	7.81	8.42	9.75	11.39	12.42	0.118	-0.368
♀	44	7.80	8.40	9.73	11.37	12.40	0.118	-0.389
♀	45	7.79	8.39	9.71	11.35	12.39	0.118	-0.408
♀	46	7.76	8.36	9.69	11.35	12.39	0.119	-0.425
♀	47	7.75	8.34	9.67	11.33	12.37	0.119	-0.440
♀	48	7.73	8.33	9.65	11.30	12.35	0.119	-0.452
♀	49	7.71	8.31	9.63	11.28	12.32	0.119	-0.461
♀	50	7.68	8.28	9.60	11.26	12.32	0.120	-0.469
♀	51	7.66	8.26	9.58	11.24	12.29	0.120	-0.474
♀	52	7.64	8.23	9.55	11.21	12.26	0.120	-0.477
♀	53	7.61	8.20	9.52	11.19	12.25	0.121	-0.478
♀	54	7.59	8.18	9.50	11.16	12.21	0.121	-0.477
♀	55	7.56	8.15	9.47	11.12	12.18	0.121	-0.474
♀	56	7.54	8.13	9.44	11.09	12.14	0.121	-0.469
♀	57	7.50	8.09	9.41	11.07	12.13	0.122	-0.463
♀	58	7.48	8.07	9.38	11.03	12.08	0.122	-0.455
♀	59	7.45	8.04	9.35	10.99	12.04	0.122	-0.446
♀	60	7.41	8.00	9.32	10.97	12.02	0.123	-0.435
♀	61	7.38	7.97	9.28	10.93	11.97	0.123	-0.423
♀	62	7.35	7.94	9.25	10.89	11.93	0.123	-0.409
♀	63	7.31	7.90	9.22	10.86	11.90	0.124	-0.394
♀	64	7.28	7.87	9.19	10.82	11.85	0.124	-0.378
♀	65	7.25	7.84	9.15	10.78	11.80	0.124	-0.361
♀	66	7.20	7.80	9.12	10.75	11.77	0.125	-0.342
♀	67	7.17	7.77	9.08	10.70	11.72	0.125	-0.322
♀	68	7.13	7.73	9.05	10.68	11.69	0.126	-0.301
♀	69	7.10	7.70	9.01	10.63	11.64	0.126	-0.279
♀	70	7.07	7.66	8.98	10.59	11.59	0.126	-0.256
♀	71	7.02	7.62	8.94	10.55	11.55	0.127	-0.233
♀	72	6.99	7.59	8.91	10.51	11.50	0.127	-0.210
♀	73	6.96	7.56	8.87	10.47	11.45	0.127	-0.186
♀	74	6.91	7.52	8.84	10.43	11.42	0.128	-0.162
♀	75	6.88	7.48	8.80	10.39	11.36	0.128	-0.138
♀	77	6.80	7.41	8.73	10.31	11.28	0.129	-0.089
♀	78	6.77	7.38	8.70	10.27	11.22	0.129	-0.064
♀	79	6.72	7.34	8.66	10.24	11.19	0.130	-0.039
♀	80	6.69	7.30	8.62	10.19	11.13	0.130	-0.014
♀	83	6.58	7.20	8.52	10.07	10.99	0.131	0.063
♂	18	10.51	11.09	12.29	13.65	14.44	0.081	-0.180
♂	19	10.60	11.21	12.48	13.94	14.80	0.085	-0.265
♂	20	10.69	11.32	12.64	14.19	15.10	0.088	-0.344
♂	21	10.76	11.40	12.78	14.40	15.38	0.091	-0.416
♂	22	10.80	11.46	12.88	14.58	15.62	0.094	-0.480
♂	23	10.80	11.48	12.95	14.72	15.82	0.097	-0.536
♂	24	10.80	11.49	12.98	14.81	15.95	0.099	-0.582
♂	25	10.78	11.47	12.99	14.87	16.05	0.101	-0.616
♂	26	10.76	11.46	12.99	14.89	16.09	0.102	-0.641
♂	27	10.74	11.44	12.98	14.90	16.12	0.103	-0.658
♂	28	10.71	11.41	12.96	14.90	16.14	0.104	-0.671
♂	29	10.70	11.40	12.95	14.89	16.12	0.104	-0.683
♂	30	10.69	11.39	12.93	14.87	16.11	0.104	-0.696
♂	31	10.68	11.38	12.92	14.86	16.11	0.104	-0.708
♂	32	10.68	11.37	12.92	14.86	16.10	0.104	-0.719
♂	33	10.70	11.38	12.91	14.83	16.06	0.103	-0.729
♂	34	10.70	11.38	12.91	14.83	16.06	0.103	-0.737
♂	35	10.70	11.38	12.91	14.83	16.06	0.103	-0.742
♂	36	10.71	11.39	12.91	14.81	16.03	0.102	-0.743
♂	37	10.71	11.39	12.91	14.81	16.03	0.102	-0.739
♂	38	10.73	11.41	12.91	14.79	15.99	0.101	-0.730
♂	39	10.72	11.40	12.90	14.78	15.97	0.101	-0.716
♂	40	10.71	11.39	12.90	14.77	15.96	0.101	-0.695
♂	41	10.70	11.38	12.89	14.75	15.93	0.101	-0.670
♂	42	10.68	11.37	12.87	14.73	15.90	0.101	-0.639
♂	43	10.68	11.36	12.85	14.69	15.84	0.100	-0.604
♂	44	10.66	11.34	12.83	14.66	15.80	0.100	-0.564
♂	45	10.63	11.32	12.81	14.63	15.75	0.100	-0.521
♂	46	10.60	11.29	12.79	14.59	15.71	0.100	-0.474
♂	47	10.57	11.26	12.76	14.55	15.65	0.100	-0.423
♂	48	10.53	11.23	12.73	14.51	15.60	0.100	-0.369
♂	49	10.50	11.20	12.69	14.47	15.54	0.100	-0.313
♂	50	10.45	11.16	12.66	14.42	15.48	0.100	-0.254
♂	51	10.41	11.12	12.62	14.37	15.41	0.100	-0.194
♂	52	10.36	11.07	12.57	14.31	15.34	0.100	-0.132
♂	53	10.31	11.03	12.53	14.25	15.26	0.100	-0.069
♂	54	10.26	10.98	12.48	14.19	15.18	0.100	-0.005
♂	55	10.20	10.93	12.43	14.12	15.10	0.100	0.059
♂	56	10.14	10.87	12.37	14.05	15.01	0.100	0.125
♂	57	10.08	10.81	12.31	13.97	14.93	0.100	0.192
♂	58	10.00	10.74	12.25	13.92	14.86	0.101	0.258
♂	59	9.94	10.68	12.19	13.84	14.77	0.101	0.326
♂	60	9.87	10.62	12.13	13.76	14.67	0.101	0.393
♂	61	9.80	10.55	12.06	13.68	14.58	0.101	0.461
♂	62	9.73	10.49	11.99	13.59	14.48	0.101	0.528
♂	63	9.66	10.43	11.93	13.51	14.38	0.101	0.596
♂	64	9.59	10.36	11.86	13.43	14.29	0.101	0.663
♂	65	9.50	10.28	11.80	13.36	14.22	0.102	0.729
♂	66	9.44	10.22	11.73	13.28	14.12	0.102	0.795
♂	67	9.37	10.16	11.67	13.20	14.03	0.102	0.860
♂	68	9.30	10.09	11.60	13.13	13.94	0.102	0.924
♂	69	9.24	10.03	11.54	13.05	13.85	0.102	0.988
♂	70	9.17	9.98	11.48	12.98	13.77	0.102	1.051
♂	71	9.11	9.92	11.43	12.91	13.69	0.102	1.113
♂	72	9.05	9.87	11.37	12.84	13.61	0.102	1.174
♂	73	8.97	9.80	11.32	12.79	13.55	0.103	1.234
♂	74	8.92	9.75	11.27	12.73	13.48	0.103	1.293
♂	75	8.86	9.70	11.21	12.66	13.41	0.103	1.352
♂	76	8.80	9.65	11.16	12.60	13.34	0.103	1.410
♂	77	8.75	9.60	11.12	12.54	13.27	0.103	1.467
♂	78	8.70	9.55	11.07	12.49	13.20	0.103	1.523
♂	79	8.65	9.51	11.03	12.43	13.14	0.103	1.579
♂	81	8.55	9.42	10.94	12.32	13.01	0.103	1.688
♂	82	8.47	9.36	10.90	12.28	12.97	0.104	1.742
♂	88	8.18	9.12	10.66	11.99	12.63	0.104	2.050

RAT_ALMHEIGHT2

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	5.50	6.05	7.18	8.46	9.20	0.131	0.298
♀	19	5.51	6.05	7.18	8.47	9.21	0.131	0.262
♀	20	5.51	6.05	7.19	8.48	9.24	0.132	0.226
♀	21	5.51	6.05	7.19	8.49	9.26	0.132	0.190
♀	22	5.52	6.06	7.19	8.50	9.27	0.132	0.155
♀	23	5.53	6.06	7.19	8.50	9.28	0.132	0.121
♀	24	5.53	6.06	7.20	8.52	9.31	0.133	0.088
♀	25	5.54	6.06	7.20	8.53	9.32	0.133	0.057
♀	26	5.54	6.07	7.20	8.53	9.34	0.133	0.027
♀	27	5.55	6.07	7.20	8.54	9.35	0.133	0.001
♀	28	5.55	6.07	7.20	8.56	9.38	0.134	-0.023
♀	29	5.55	6.07	7.21	8.56	9.39	0.134	-0.044
♀	30	5.56	6.08	7.21	8.57	9.40	0.134	-0.063
♀	31	5.55	6.08	7.21	8.59	9.43	0.135	-0.081
♀	32	5.56	6.08	7.22	8.59	9.44	0.135	-0.099
♀	33	5.56	6.08	7.22	8.60	9.45	0.135	-0.116
♀	34	5.57	6.09	7.22	8.61	9.46	0.135	-0.135
♀	35	5.57	6.09	7.23	8.62	9.49	0.136	-0.155
♀	36	5.57	6.09	7.23	8.63	9.50	0.136	-0.177
♀	37	5.58	6.09	7.23	8.63	9.51	0.136	-0.202
♀	38	5.58	6.09	7.23	8.64	9.52	0.136	-0.230
♀	39	5.58	6.09	7.23	8.65	9.55	0.137	-0.261
♀	40	5.58	6.09	7.22	8.65	9.56	0.137	-0.293
♀	41	5.58	6.09	7.22	8.65	9.56	0.137	-0.325
♀	42	5.57	6.07	7.21	8.66	9.58	0.138	-0.358
♀	43	5.57	6.07	7.20	8.65	9.58	0.138	-0.389
♀	44	5.57	6.06	7.19	8.64	9.58	0.138	-0.418
♀	45	5.56	6.06	7.18	8.63	9.58	0.138	-0.445
♀	46	5.55	6.04	7.17	8.63	9.59	0.139	-0.467
♀	47	5.54	6.03	7.15	8.61	9.58	0.139	-0.486
♀	48	5.53	6.01	7.13	8.60	9.56	0.139	-0.499
♀	49	5.50	5.99	7.11	8.59	9.56	0.140	-0.508
♀	50	5.49	5.98	7.09	8.56	9.53	0.140	-0.512
♀	51	5.47	5.96	7.07	8.54	9.50	0.140	-0.511
♀	52	5.45	5.94	7.05	8.51	9.47	0.140	-0.506
♀	53	5.42	5.91	7.02	8.49	9.46	0.141	-0.496
♀	54	5.40	5.89	7.00	8.46	9.42	0.141	-0.483
♀	55	5.38	5.86	6.97	8.42	9.37	0.141	-0.466
♀	56	5.34	5.83	6.95	8.40	9.35	0.142	-0.445
♀	57	5.32	5.81	6.92	8.36	9.30	0.142	-0.422
♀	58	5.29	5.78	6.89	8.32	9.25	0.142	-0.397
♀	59	5.26	5.75	6.86	8.28	9.20	0.142	-0.368
♀	60	5.23	5.72	6.83	8.26	9.17	0.143	-0.338
♀	61	5.20	5.69	6.80	8.22	9.12	0.143	-0.306
♀	62	5.17	5.67	6.78	8.18	9.07	0.143	-0.273
♀	63	5.14	5.63	6.75	8.15	9.04	0.144	-0.237
♀	64	5.11	5.61	6.72	8.11	8.99	0.144	-0.200
♀	65	5.08	5.58	6.69	8.07	8.94	0.144	-0.162
♀	66	5.04	5.55	6.67	8.04	8.90	0.145	-0.121
♀	67	5.01	5.52	6.64	8.01	8.85	0.145	-0.079
♀	68	4.98	5.49	6.61	7.97	8.80	0.145	-0.036
♀	69	4.95	5.47	6.59	7.93	8.75	0.145	0.009
♀	70	4.92	5.44	6.56	7.90	8.71	0.146	0.054
♀	71	4.89	5.41	6.53	7.86	8.66	0.146	0.101
♀	72	4.86	5.38	6.51	7.83	8.61	0.146	0.148
♀	73	4.82	5.35	6.48	7.80	8.58	0.147	0.196
♀	74	4.79	5.32	6.46	7.76	8.53	0.147	0.244
♀	75	4.76	5.30	6.43	7.73	8.48	0.147	0.292
♀	77	4.69	5.24	6.38	7.66	8.40	0.148	0.390
♀	78	4.66	5.22	6.36	7.63	8.35	0.148	0.439
♀	79	4.63	5.19	6.33	7.59	8.31	0.148	0.488
♀	80	4.59	5.16	6.31	7.57	8.28	0.149	0.538
♀	83	4.49	5.08	6.24	7.47	8.15	0.150	0.686
♂	18	7.26	7.82	8.97	10.28	11.05	0.107	0.050
♂	19	7.35	7.92	9.11	10.50	11.31	0.110	-0.016
♂	20	7.42	8.00	9.24	10.69	11.56	0.113	-0.078
♂	21	7.47	8.07	9.35	10.87	11.78	0.116	-0.134
♂	22	7.51	8.11	9.43	11.01	11.97	0.119	-0.186
♂	23	7.53	8.14	9.48	11.11	12.11	0.121	-0.233
♂	24	7.53	8.15	9.51	11.18	12.21	0.123	-0.273
♂	25	7.53	8.16	9.52	11.21	12.26	0.124	-0.308
♂	26	7.52	8.15	9.52	11.23	12.30	0.125	-0.336
♂	27	7.51	8.13	9.51	11.23	12.32	0.126	-0.360
♂	28	7.50	8.12	9.50	11.22	12.31	0.126	-0.380
♂	29	7.48	8.10	9.48	11.22	12.32	0.127	-0.398
♂	30	7.48	8.10	9.47	11.19	12.28	0.126	-0.415
♂	31	7.48	8.09	9.45	11.18	12.27	0.126	-0.430
♂	32	7.47	8.08	9.45	11.17	12.27	0.126	-0.441
♂	33	7.49	8.09	9.44	11.15	12.24	0.125	-0.449
♂	34	7.50	8.10	9.44	11.14	12.22	0.124	-0.452
♂	35	7.50	8.10	9.45	11.14	12.22	0.124	-0.452
♂	36	7.52	8.11	9.45	11.13	12.20	0.123	-0.447
♂	37	7.53	8.13	9.45	11.12	12.17	0.122	-0.437
♂	38	7.53	8.13	9.46	11.12	12.17	0.122	-0.423
♂	39	7.55	8.14	9.46	11.11	12.14	0.121	-0.405
♂	40	7.54	8.14	9.46	11.10	12.13	0.121	-0.382
♂	41	7.55	8.15	9.46	11.08	12.10	0.120	-0.356
♂	42	7.54	8.14	9.46	11.08	12.08	0.120	-0.326
♂	43	7.53	8.13	9.45	11.07	12.06	0.120	-0.293
♂	44	7.53	8.13	9.45	11.04	12.02	0.119	-0.258
♂	45	7.52	8.12	9.44	11.02	11.99	0.119	-0.220
♂	46	7.50	8.11	9.43	11.00	11.96	0.119	-0.180
♂	47	7.48	8.10	9.41	10.98	11.93	0.119	-0.138
♂	48	7.46	8.08	9.40	10.96	11.90	0.119	-0.093
♂	49	7.44	8.06	9.38	10.93	11.86	0.119	-0.048
♂	50	7.41	8.04	9.36	10.90	11.82	0.119	-0.001
♂	51	7.39	8.01	9.34	10.87	11.77	0.119	0.047
♂	52	7.37	7.99	9.31	10.82	11.70	0.118	0.096
♂	53	7.32	7.95	9.28	10.79	11.67	0.119	0.146
♂	54	7.28	7.92	9.24	10.74	11.61	0.119	0.197
♂	55	7.24	7.88	9.21	10.69	11.55	0.119	0.247
♂	56	7.20	7.84	9.17	10.64	11.49	0.119	0.299
♂	57	7.15	7.80	9.12	10.59	11.42	0.119	0.350
♂	58	7.11	7.76	9.08	10.53	11.35	0.119	0.402
♂	59	7.06	7.71	9.03	10.47	11.28	0.119	0.454
♂	60	7.01	7.67	8.99	10.41	11.20	0.119	0.505
♂	61	6.96	7.62	8.94	10.35	11.13	0.119	0.557
♂	62	6.91	7.57	8.89	10.28	11.05	0.119	0.608
♂	63	6.86	7.53	8.84	10.22	10.98	0.119	0.658
♂	64	6.79	7.47	8.79	10.17	10.92	0.120	0.709
♂	65	6.74	7.42	8.74	10.10	10.85	0.120	0.758
♂	66	6.69	7.37	8.69	10.04	10.77	0.120	0.807
♂	67	6.64	7.32	8.64	9.98	10.70	0.120	0.856
♂	68	6.59	7.28	8.59	9.92	10.63	0.120	0.903
♂	69	6.55	7.23	8.54	9.86	10.56	0.120	0.950
♂	70	6.50	7.19	8.50	9.80	10.50	0.120	0.997
♂	71	6.45	7.15	8.45	9.75	10.43	0.120	1.042
♂	72	6.39	7.10	8.41	9.71	10.39	0.121	1.087
♂	73	6.35	7.06	8.37	9.66	10.33	0.121	1.132
♂	74	6.31	7.02	8.33	9.61	10.27	0.121	1.175
♂	75	6.27	6.98	8.29	9.56	10.21	0.121	1.218
♂	76	6.23	6.95	8.26	9.51	10.16	0.121	1.261
♂	77	6.19	6.91	8.22	9.47	10.11	0.121	1.303
♂	78	6.13	6.87	8.19	9.43	10.07	0.122	1.344
♂	79	6.10	6.84	8.15	9.39	10.02	0.122	1.385
♂	81	6.03	6.77	8.09	9.31	9.93	0.122	1.465
♂	82	5.99	6.74	8.06	9.27	9.88	0.122	1.504
♂	88	5.77	6.56	7.88	9.06	9.64	0.123	1.730

RAT_ALM_PERBF

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	0.44	0.51	0.73	1.10	1.43	0.296	-0.477
♀	19	0.43	0.51	0.72	1.10	1.43	0.297	-0.482
♀	20	0.43	0.51	0.72	1.10	1.44	0.299	-0.487
♀	21	0.43	0.50	0.72	1.10	1.43	0.300	-0.492
♀	22	0.42	0.50	0.71	1.10	1.44	0.302	-0.497
♀	23	0.42	0.50	0.71	1.09	1.44	0.303	-0.502
♀	24	0.42	0.49	0.71	1.09	1.44	0.305	-0.507
♀	25	0.42	0.49	0.70	1.09	1.44	0.306	-0.512
♀	26	0.41	0.49	0.70	1.09	1.44	0.307	-0.517
♀	27	0.41	0.49	0.70	1.08	1.44	0.308	-0.522
♀	28	0.41	0.48	0.69	1.08	1.44	0.309	-0.527
♀	29	0.41	0.48	0.69	1.08	1.44	0.310	-0.532
♀	30	0.41	0.48	0.69	1.08	1.44	0.310	-0.537
♀	31	0.41	0.48	0.69	1.07	1.44	0.311	-0.542
♀	32	0.40	0.48	0.68	1.07	1.43	0.311	-0.547
♀	33	0.40	0.47	0.68	1.07	1.43	0.311	-0.551
♀	34	0.40	0.47	0.68	1.06	1.42	0.310	-0.556
♀	35	0.40	0.47	0.68	1.06	1.42	0.310	-0.561
♀	36	0.40	0.47	0.67	1.05	1.41	0.309	-0.566
♀	37	0.40	0.47	0.67	1.05	1.40	0.308	-0.571
♀	38	0.40	0.47	0.67	1.04	1.39	0.307	-0.576
♀	39	0.40	0.47	0.66	1.03	1.39	0.306	-0.581
♀	40	0.39	0.46	0.66	1.03	1.38	0.305	-0.586
♀	41	0.39	0.46	0.65	1.02	1.36	0.303	-0.591
♀	42	0.39	0.46	0.65	1.01	1.35	0.302	-0.596
♀	43	0.39	0.46	0.64	1.00	1.34	0.301	-0.601
♀	44	0.39	0.45	0.64	0.99	1.32	0.299	-0.606
♀	45	0.38	0.45	0.63	0.98	1.30	0.297	-0.611
♀	46	0.38	0.45	0.63	0.96	1.28	0.295	-0.616
♀	47	0.38	0.44	0.62	0.95	1.27	0.294	-0.621
♀	48	0.38	0.44	0.61	0.94	1.25	0.292	-0.625
♀	49	0.37	0.44	0.61	0.93	1.22	0.289	-0.630
♀	50	0.37	0.43	0.60	0.91	1.20	0.287	-0.635
♀	51	0.37	0.43	0.59	0.90	1.18	0.285	-0.640
♀	52	0.36	0.42	0.58	0.88	1.16	0.282	-0.645
♀	53	0.36	0.42	0.58	0.87	1.14	0.280	-0.650
♀	54	0.36	0.41	0.57	0.85	1.11	0.277	-0.655
♀	55	0.35	0.41	0.56	0.84	1.09	0.274	-0.660
♀	56	0.35	0.41	0.56	0.82	1.07	0.271	-0.665
♀	57	0.35	0.40	0.55	0.81	1.05	0.268	-0.670
♀	58	0.35	0.40	0.54	0.80	1.03	0.266	-0.675
♀	59	0.34	0.39	0.53	0.78	1.00	0.262	-0.680
♀	60	0.34	0.39	0.52	0.77	0.98	0.259	-0.685
♀	61	0.34	0.38	0.52	0.75	0.96	0.256	-0.690
♀	62	0.33	0.38	0.51	0.74	0.94	0.253	-0.695
♀	63	0.33	0.38	0.50	0.72	0.92	0.250	-0.699
♀	64	0.33	0.37	0.50	0.71	0.90	0.247	-0.704
♀	65	0.32	0.37	0.49	0.70	0.88	0.244	-0.709
♀	66	0.32	0.36	0.48	0.68	0.86	0.241	-0.714
♀	67	0.32	0.36	0.47	0.67	0.84	0.239	-0.719
♀	68	0.31	0.36	0.47	0.66	0.82	0.236	-0.724
♀	69	0.31	0.35	0.46	0.65	0.80	0.233	-0.729
♀	70	0.31	0.35	0.46	0.63	0.79	0.230	-0.734
♀	71	0.30	0.34	0.45	0.62	0.77	0.227	-0.739
♀	72	0.30	0.34	0.44	0.61	0.75	0.225	-0.744
♀	73	0.30	0.34	0.44	0.60	0.74	0.222	-0.749
♀	74	0.30	0.33	0.43	0.59	0.72	0.219	-0.754
♀	75	0.29	0.33	0.42	0.58	0.71	0.217	-0.759
♀	77	0.29	0.32	0.41	0.56	0.68	0.211	-0.769
♀	78	0.28	0.32	0.41	0.55	0.66	0.209	-0.773
♀	79	0.28	0.32	0.40	0.54	0.65	0.206	-0.778
♀	80	0.28	0.31	0.40	0.53	0.64	0.203	-0.783
♀	83	0.27	0.30	0.38	0.50	0.60	0.196	-0.798
♂	18	1.03	1.25	1.84	2.76	3.47	0.309	-0.159
♂	19	1.00	1.22	1.82	2.80	3.57	0.324	-0.185
♂	20	0.96	1.19	1.79	2.83	3.66	0.338	-0.210
♂	21	0.94	1.15	1.77	2.86	3.76	0.352	-0.236
♂	22	0.91	1.13	1.75	2.89	3.87	0.365	-0.261
♂	23	0.89	1.10	1.73	2.91	3.96	0.376	-0.285
♂	24	0.87	1.08	1.71	2.91	4.02	0.384	-0.307
♂	25	0.85	1.06	1.68	2.90	4.05	0.389	-0.328
♂	26	0.84	1.05	1.66	2.88	4.05	0.391	-0.347
♂	27	0.84	1.04	1.64	2.85	4.01	0.390	-0.364
♂	28	0.83	1.02	1.62	2.80	3.96	0.388	-0.379
♂	29	0.82	1.02	1.59	2.76	3.90	0.385	-0.391
♂	30	0.82	1.01	1.57	2.71	3.82	0.381	-0.402
♂	31	0.82	1.00	1.55	2.66	3.74	0.376	-0.411
♂	32	0.81	0.99	1.54	2.62	3.68	0.373	-0.420
♂	33	0.81	0.99	1.52	2.58	3.61	0.369	-0.427
♂	34	0.81	0.98	1.51	2.54	3.56	0.366	-0.434
♂	35	0.81	0.98	1.49	2.51	3.50	0.362	-0.440
♂	36	0.81	0.98	1.48	2.48	3.44	0.358	-0.446
♂	37	0.81	0.97	1.47	2.45	3.39	0.354	-0.451
♂	38	0.81	0.97	1.46	2.42	3.33	0.350	-0.456
♂	39	0.81	0.97	1.46	2.39	3.28	0.345	-0.460
♂	40	0.81	0.97	1.45	2.36	3.22	0.341	-0.463
♂	41	0.81	0.97	1.44	2.34	3.18	0.337	-0.466
♂	42	0.81	0.97	1.43	2.31	3.14	0.334	-0.468
♂	43	0.81	0.97	1.43	2.29	3.08	0.330	-0.469
♂	44	0.81	0.97	1.42	2.27	3.05	0.328	-0.469
♂	45	0.81	0.96	1.41	2.24	3.01	0.325	-0.468
♂	46	0.81	0.96	1.40	2.22	2.97	0.323	-0.466
♂	47	0.80	0.96	1.39	2.19	2.92	0.320	-0.462
♂	48	0.80	0.95	1.38	2.17	2.88	0.317	-0.458
♂	49	0.80	0.95	1.37	2.14	2.82	0.314	-0.453
♂	50	0.79	0.94	1.36	2.12	2.78	0.312	-0.447
♂	51	0.79	0.94	1.35	2.09	2.73	0.309	-0.440
♂	52	0.79	0.93	1.34	2.06	2.69	0.307	-0.433
♂	53	0.78	0.92	1.33	2.03	2.64	0.305	-0.424
♂	54	0.77	0.92	1.31	2.01	2.60	0.304	-0.415
♂	55	0.76	0.91	1.30	1.98	2.55	0.302	-0.405
♂	56	0.75	0.90	1.28	1.95	2.51	0.301	-0.394
♂	57	0.74	0.88	1.27	1.92	2.46	0.300	-0.382
♂	58	0.73	0.87	1.25	1.89	2.42	0.300	-0.370
♂	59	0.72	0.86	1.23	1.86	2.39	0.301	-0.356
♂	60	0.71	0.84	1.21	1.83	2.34	0.301	-0.342
♂	61	0.70	0.83	1.20	1.81	2.31	0.302	-0.326
♂	62	0.68	0.82	1.18	1.78	2.27	0.303	-0.310
♂	63	0.67	0.80	1.16	1.75	2.23	0.304	-0.294
♂	64	0.66	0.79	1.14	1.73	2.19	0.305	-0.276
♂	65	0.64	0.77	1.12	1.70	2.15	0.305	-0.258
♂	66	0.63	0.76	1.11	1.67	2.11	0.306	-0.239
♂	67	0.62	0.75	1.09	1.64	2.08	0.306	-0.219
♂	68	0.61	0.74	1.08	1.62	2.04	0.306	-0.200
♂	69	0.60	0.73	1.06	1.59	2.00	0.305	-0.180
♂	70	0.59	0.72	1.05	1.57	1.96	0.304	-0.159
♂	71	0.58	0.71	1.03	1.54	1.92	0.303	-0.139
♂	72	0.58	0.70	1.02	1.51	1.88	0.302	-0.119
♂	73	0.57	0.69	1.01	1.49	1.85	0.301	-0.098
♂	74	0.56	0.68	0.99	1.47	1.81	0.299	-0.078
♂	75	0.55	0.67	0.98	1.44	1.77	0.297	-0.057
♂	76	0.55	0.67	0.97	1.42	1.74	0.295	-0.037
♂	77	0.54	0.66	0.96	1.39	1.70	0.292	-0.016
♂	78	0.54	0.65	0.94	1.37	1.66	0.289	0.005
♂	79	0.53	0.65	0.93	1.34	1.63	0.286	0.025
♂	81	0.52	0.63	0.91	1.30	1.56	0.280	0.066
♂	82	0.52	0.63	0.90	1.27	1.52	0.276	0.087
♂	88	0.49	0.59	0.83	1.14	1.33	0.254	0.210

RAT_ALM_TBF

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	0.62	0.76	1.12	1.68	2.11	0.310	-0.128
♀	19	0.61	0.75	1.11	1.69	2.13	0.318	-0.138
♀	20	0.60	0.74	1.10	1.70	2.16	0.326	-0.147
♀	21	0.59	0.72	1.10	1.71	2.19	0.335	-0.156
♀	22	0.58	0.71	1.09	1.72	2.22	0.343	-0.165
♀	23	0.56	0.70	1.08	1.73	2.25	0.351	-0.174
♀	24	0.55	0.69	1.07	1.73	2.28	0.359	-0.183
♀	25	0.54	0.68	1.07	1.74	2.31	0.367	-0.192
♀	26	0.53	0.67	1.06	1.75	2.34	0.375	-0.202
♀	27	0.52	0.66	1.05	1.76	2.37	0.382	-0.211
♀	28	0.52	0.65	1.04	1.76	2.39	0.388	-0.220
♀	29	0.51	0.64	1.03	1.77	2.41	0.393	-0.229
♀	30	0.50	0.63	1.03	1.77	2.43	0.398	-0.238
♀	31	0.50	0.63	1.02	1.77	2.45	0.402	-0.247
♀	32	0.49	0.62	1.01	1.76	2.45	0.405	-0.257
♀	33	0.49	0.61	1.00	1.76	2.46	0.408	-0.266
♀	34	0.48	0.61	0.99	1.75	2.46	0.410	-0.275
♀	35	0.48	0.60	0.99	1.74	2.46	0.411	-0.284
♀	36	0.47	0.60	0.98	1.74	2.46	0.413	-0.293
♀	37	0.47	0.59	0.97	1.73	2.46	0.414	-0.302
♀	38	0.47	0.59	0.96	1.71	2.45	0.414	-0.311
♀	39	0.46	0.58	0.95	1.70	2.44	0.415	-0.321
♀	40	0.46	0.58	0.94	1.69	2.43	0.416	-0.330
♀	41	0.45	0.57	0.93	1.68	2.42	0.416	-0.339
♀	42	0.45	0.56	0.92	1.67	2.41	0.417	-0.348
♀	43	0.44	0.56	0.91	1.65	2.40	0.418	-0.357
♀	44	0.44	0.55	0.90	1.64	2.39	0.418	-0.366
♀	45	0.44	0.55	0.89	1.62	2.37	0.418	-0.375
♀	46	0.43	0.54	0.88	1.60	2.35	0.418	-0.385
♀	47	0.43	0.54	0.87	1.58	2.33	0.417	-0.394
♀	48	0.42	0.53	0.86	1.56	2.31	0.416	-0.403
♀	49	0.42	0.52	0.85	1.54	2.27	0.414	-0.412
♀	50	0.42	0.52	0.84	1.52	2.24	0.411	-0.421
♀	51	0.42	0.52	0.82	1.49	2.19	0.407	-0.430
♀	52	0.41	0.51	0.81	1.46	2.15	0.403	-0.440
♀	53	0.41	0.51	0.80	1.43	2.10	0.398	-0.449
♀	54	0.41	0.50	0.79	1.40	2.05	0.393	-0.458
♀	55	0.41	0.50	0.78	1.37	1.99	0.387	-0.467
♀	56	0.41	0.50	0.77	1.34	1.94	0.382	-0.476
♀	57	0.40	0.49	0.76	1.31	1.89	0.376	-0.485
♀	58	0.40	0.49	0.75	1.28	1.83	0.370	-0.494
♀	59	0.40	0.48	0.74	1.25	1.78	0.364	-0.504
♀	60	0.40	0.48	0.73	1.22	1.73	0.358	-0.513
♀	61	0.40	0.48	0.71	1.20	1.68	0.352	-0.522
♀	62	0.40	0.47	0.70	1.17	1.63	0.346	-0.531
♀	63	0.39	0.47	0.69	1.14	1.59	0.341	-0.540
♀	64	0.39	0.46	0.68	1.12	1.55	0.336	-0.549
♀	65	0.39	0.46	0.67	1.09	1.51	0.331	-0.559
♀	66	0.38	0.46	0.66	1.07	1.47	0.326	-0.568
♀	67	0.38	0.45	0.65	1.04	1.43	0.321	-0.577
♀	68	0.38	0.45	0.64	1.02	1.39	0.316	-0.586
♀	69	0.38	0.44	0.63	1.00	1.36	0.312	-0.595
♀	70	0.37	0.44	0.62	0.98	1.32	0.307	-0.604
♀	71	0.37	0.43	0.62	0.96	1.28	0.302	-0.613
♀	72	0.37	0.43	0.61	0.94	1.25	0.298	-0.623
♀	73	0.37	0.43	0.60	0.92	1.22	0.293	-0.632
♀	74	0.36	0.42	0.59	0.90	1.19	0.289	-0.641
♀	75	0.36	0.42	0.58	0.88	1.16	0.284	-0.650
♀	77	0.36	0.41	0.56	0.84	1.09	0.274	-0.668
♀	78	0.35	0.41	0.55	0.82	1.07	0.270	-0.678
♀	79	0.35	0.40	0.55	0.80	1.04	0.265	-0.687
♀	80	0.35	0.40	0.54	0.79	1.01	0.261	-0.696
♀	83	0.34	0.39	0.51	0.74	0.93	0.247	-0.723
♂	18	1.28	1.57	2.32	3.41	4.18	0.301	0.004
♂	19	1.22	1.52	2.28	3.43	4.25	0.318	-0.005
♂	20	1.17	1.46	2.24	3.45	4.33	0.335	-0.013
♂	21	1.11	1.41	2.20	3.46	4.41	0.351	-0.022
♂	22	1.06	1.36	2.17	3.48	4.49	0.367	-0.031
♂	23	1.02	1.31	2.13	3.49	4.56	0.382	-0.040
♂	24	0.98	1.27	2.09	3.49	4.61	0.395	-0.049
♂	25	0.95	1.23	2.06	3.48	4.63	0.405	-0.057
♂	26	0.92	1.20	2.02	3.46	4.63	0.412	-0.065
♂	27	0.90	1.18	1.99	3.43	4.62	0.417	-0.073
♂	28	0.88	1.15	1.95	3.38	4.57	0.419	-0.081
♂	29	0.87	1.13	1.92	3.33	4.51	0.420	-0.088
♂	30	0.86	1.12	1.89	3.28	4.44	0.419	-0.095
♂	31	0.85	1.10	1.86	3.23	4.37	0.418	-0.101
♂	32	0.84	1.09	1.83	3.18	4.31	0.417	-0.108
♂	33	0.83	1.08	1.81	3.14	4.26	0.417	-0.114
♂	34	0.82	1.06	1.78	3.10	4.21	0.416	-0.120
♂	35	0.81	1.05	1.76	3.06	4.17	0.416	-0.125
♂	36	0.80	1.04	1.74	3.03	4.13	0.416	-0.131
♂	37	0.80	1.03	1.73	3.00	4.08	0.415	-0.135
♂	38	0.79	1.02	1.71	2.97	4.04	0.414	-0.140
♂	39	0.79	1.02	1.69	2.94	4.00	0.413	-0.144
♂	40	0.78	1.01	1.68	2.91	3.97	0.412	-0.149
♂	41	0.78	1.00	1.67	2.88	3.93	0.410	-0.152
♂	42	0.78	1.00	1.65	2.85	3.88	0.408	-0.156
♂	43	0.78	1.00	1.64	2.82	3.83	0.405	-0.159
♂	44	0.78	0.99	1.63	2.79	3.78	0.402	-0.162
♂	45	0.77	0.99	1.62	2.76	3.73	0.399	-0.165
♂	46	0.77	0.98	1.60	2.72	3.68	0.396	-0.167
♂	47	0.77	0.98	1.59	2.69	3.62	0.392	-0.169
♂	48	0.77	0.98	1.58	2.66	3.57	0.389	-0.171
♂	49	0.77	0.97	1.57	2.62	3.52	0.386	-0.173
♂	50	0.77	0.97	1.55	2.59	3.47	0.383	-0.174
♂	51	0.76	0.96	1.54	2.56	3.43	0.381	-0.175
♂	52	0.76	0.96	1.53	2.54	3.38	0.379	-0.176
♂	53	0.75	0.95	1.51	2.51	3.35	0.378	-0.177
♂	54	0.75	0.94	1.50	2.48	3.30	0.376	-0.178
♂	55	0.74	0.94	1.48	2.45	3.26	0.375	-0.179
♂	56	0.74	0.93	1.47	2.43	3.23	0.375	-0.179
♂	57	0.73	0.92	1.45	2.40	3.20	0.375	-0.180
♂	58	0.72	0.91	1.44	2.38	3.17	0.376	-0.180
♂	59	0.71	0.89	1.42	2.36	3.14	0.377	-0.180
♂	60	0.70	0.88	1.40	2.33	3.12	0.379	-0.180
♂	61	0.69	0.87	1.39	2.32	3.10	0.382	-0.181
♂	62	0.68	0.85	1.37	2.30	3.08	0.385	-0.181
♂	63	0.66	0.84	1.35	2.28	3.08	0.389	-0.181
♂	64	0.65	0.83	1.34	2.26	3.06	0.392	-0.181
♂	65	0.64	0.81	1.32	2.25	3.04	0.395	-0.180
♂	66	0.63	0.80	1.30	2.23	3.02	0.398	-0.180
♂	67	0.62	0.79	1.29	2.20	2.99	0.399	-0.180
♂	68	0.61	0.78	1.27	2.18	2.97	0.401	-0.180
♂	69	0.60	0.77	1.26	2.16	2.94	0.401	-0.180
♂	70	0.60	0.76	1.25	2.13	2.90	0.400	-0.180
♂	71	0.59	0.76	1.23	2.10	2.85	0.398	-0.180
♂	72	0.59	0.75	1.22	2.07	2.80	0.395	-0.180
♂	73	0.59	0.74	1.20	2.04	2.75	0.392	-0.180
♂	74	0.58	0.74	1.19	2.00	2.69	0.387	-0.180
♂	75	0.58	0.74	1.18	1.96	2.63	0.382	-0.180
♂	76	0.58	0.73	1.16	1.93	2.56	0.376	-0.180
♂	77	0.58	0.73	1.15	1.89	2.50	0.370	-0.180
♂	78	0.58	0.73	1.14	1.85	2.43	0.363	-0.180
♂	79	0.58	0.73	1.12	1.81	2.37	0.356	-0.180
♂	81	0.59	0.72	1.10	1.73	2.23	0.340	-0.181
♂	82	0.59	0.72	1.09	1.69	2.17	0.332	-0.181
♂	88	0.59	0.71	1.01	1.48	1.83	0.287	-0.182

RAT_ALMWEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	0.24	0.26	0.30	0.34	0.37	0.107	1.247
♀	19	0.24	0.26	0.30	0.34	0.37	0.109	1.221
♀	20	0.23	0.26	0.30	0.34	0.37	0.111	1.195
♀	21	0.23	0.26	0.30	0.34	0.37	0.113	1.169
♀	22	0.23	0.26	0.30	0.34	0.37	0.115	1.144
♀	23	0.23	0.25	0.30	0.34	0.37	0.117	1.118
♀	24	0.23	0.25	0.30	0.34	0.37	0.119	1.092
♀	25	0.23	0.25	0.30	0.34	0.37	0.121	1.066
♀	26	0.23	0.25	0.30	0.34	0.37	0.122	1.041
♀	27	0.22	0.25	0.30	0.34	0.37	0.124	1.015
♀	28	0.22	0.25	0.29	0.34	0.37	0.126	0.989
♀	29	0.22	0.25	0.29	0.34	0.37	0.127	0.963
♀	30	0.22	0.25	0.29	0.34	0.37	0.129	0.937
♀	31	0.22	0.24	0.29	0.34	0.37	0.130	0.912
♀	32	0.22	0.24	0.29	0.34	0.37	0.132	0.886
♀	33	0.22	0.24	0.29	0.34	0.37	0.133	0.860
♀	34	0.22	0.24	0.29	0.34	0.37	0.134	0.834
♀	35	0.21	0.24	0.29	0.34	0.37	0.135	0.809
♀	36	0.21	0.24	0.29	0.34	0.37	0.136	0.783
♀	37	0.21	0.24	0.29	0.34	0.37	0.137	0.757
♀	38	0.21	0.24	0.29	0.34	0.37	0.138	0.731
♀	39	0.21	0.23	0.28	0.34	0.36	0.139	0.705
♀	40	0.21	0.23	0.28	0.34	0.36	0.140	0.680
♀	41	0.21	0.23	0.28	0.33	0.36	0.140	0.654
♀	42	0.21	0.23	0.28	0.33	0.36	0.141	0.628
♀	43	0.21	0.23	0.28	0.33	0.36	0.142	0.602
♀	44	0.20	0.23	0.28	0.33	0.36	0.143	0.577
♀	45	0.20	0.23	0.28	0.33	0.36	0.144	0.551
♀	46	0.20	0.23	0.28	0.33	0.36	0.145	0.525
♀	47	0.20	0.23	0.27	0.33	0.36	0.145	0.499
♀	48	0.20	0.22	0.27	0.33	0.36	0.146	0.474
♀	49	0.20	0.22	0.27	0.32	0.35	0.146	0.448
♀	50	0.20	0.22	0.27	0.32	0.35	0.146	0.422
♀	51	0.20	0.22	0.27	0.32	0.35	0.147	0.396
♀	52	0.20	0.22	0.27	0.32	0.35	0.147	0.370
♀	53	0.20	0.22	0.26	0.32	0.35	0.147	0.345
♀	54	0.20	0.22	0.26	0.32	0.35	0.147	0.319
♀	55	0.19	0.22	0.26	0.31	0.34	0.146	0.293
♀	56	0.19	0.22	0.26	0.31	0.34	0.146	0.267
♀	57	0.19	0.21	0.26	0.31	0.34	0.146	0.242
♀	58	0.19	0.21	0.26	0.31	0.34	0.145	0.216
♀	59	0.19	0.21	0.26	0.31	0.34	0.145	0.190
♀	60	0.19	0.21	0.25	0.30	0.33	0.144	0.164
♀	61	0.19	0.21	0.25	0.30	0.33	0.143	0.138
♀	62	0.19	0.21	0.25	0.30	0.33	0.143	0.113
♀	63	0.19	0.21	0.25	0.30	0.33	0.142	0.087
♀	64	0.19	0.21	0.25	0.30	0.33	0.141	0.061
♀	65	0.19	0.21	0.25	0.29	0.32	0.141	0.035
♀	66	0.19	0.20	0.24	0.29	0.32	0.140	0.010
♀	67	0.19	0.20	0.24	0.29	0.32	0.139	-0.016
♀	68	0.18	0.20	0.24	0.29	0.32	0.139	-0.042
♀	69	0.18	0.20	0.24	0.29	0.31	0.138	-0.068
♀	70	0.18	0.20	0.24	0.28	0.31	0.137	-0.094
♀	71	0.18	0.20	0.24	0.28	0.31	0.136	-0.119
♀	72	0.18	0.20	0.23	0.28	0.31	0.136	-0.145
♀	73	0.18	0.20	0.23	0.28	0.31	0.135	-0.171
♀	74	0.18	0.20	0.23	0.28	0.30	0.134	-0.197
♀	75	0.18	0.19	0.23	0.27	0.30	0.133	-0.222
♀	77	0.18	0.19	0.23	0.27	0.30	0.132	-0.274
♀	78	0.18	0.19	0.22	0.27	0.29	0.131	-0.300
♀	79	0.18	0.19	0.22	0.27	0.29	0.130	-0.325
♀	80	0.17	0.19	0.22	0.26	0.29	0.129	-0.351
♀	83	0.17	0.19	0.22	0.26	0.28	0.127	-0.429
♂	18	0.32	0.34	0.37	0.40	0.42	0.068	2.687
♂	19	0.31	0.33	0.37	0.40	0.42	0.072	2.651
♂	20	0.31	0.33	0.37	0.40	0.42	0.075	2.616
♂	21	0.30	0.33	0.37	0.40	0.42	0.079	2.581
♂	22	0.30	0.33	0.37	0.40	0.42	0.082	2.546
♂	23	0.29	0.32	0.37	0.40	0.42	0.086	2.511
♂	24	0.29	0.32	0.37	0.40	0.42	0.089	2.476
♂	25	0.29	0.32	0.36	0.40	0.42	0.091	2.442
♂	26	0.28	0.31	0.36	0.40	0.42	0.094	2.408
♂	27	0.28	0.31	0.36	0.40	0.42	0.095	2.374
♂	28	0.28	0.31	0.36	0.40	0.42	0.096	2.342
♂	29	0.28	0.31	0.36	0.40	0.42	0.097	2.310
♂	30	0.28	0.31	0.36	0.40	0.42	0.098	2.278
♂	31	0.28	0.31	0.36	0.40	0.42	0.099	2.248
♂	32	0.27	0.30	0.35	0.40	0.42	0.099	2.218
♂	33	0.27	0.30	0.35	0.40	0.42	0.100	2.190
♂	34	0.27	0.30	0.35	0.39	0.41	0.100	2.162
♂	35	0.27	0.30	0.35	0.39	0.41	0.101	2.135
♂	36	0.27	0.30	0.35	0.39	0.41	0.101	2.109
♂	37	0.27	0.30	0.35	0.39	0.41	0.102	2.084
♂	38	0.27	0.30	0.35	0.39	0.41	0.102	2.060
♂	39	0.27	0.30	0.35	0.39	0.41	0.102	2.037
♂	40	0.27	0.30	0.35	0.39	0.41	0.103	2.015
♂	41	0.27	0.30	0.35	0.39	0.41	0.103	1.994
♂	42	0.27	0.30	0.34	0.39	0.41	0.103	1.973
♂	43	0.27	0.29	0.34	0.39	0.41	0.102	1.954
♂	44	0.27	0.29	0.34	0.38	0.40	0.102	1.935
♂	45	0.27	0.29	0.34	0.38	0.40	0.102	1.917
♂	46	0.27	0.29	0.34	0.38	0.40	0.101	1.901
♂	47	0.26	0.29	0.34	0.38	0.40	0.101	1.884
♂	48	0.26	0.29	0.34	0.38	0.40	0.101	1.869
♂	49	0.26	0.29	0.34	0.38	0.40	0.100	1.854
♂	50	0.26	0.29	0.34	0.38	0.40	0.100	1.840
♂	51	0.26	0.29	0.34	0.38	0.40	0.100	1.827
♂	52	0.26	0.29	0.33	0.37	0.39	0.100	1.814
♂	53	0.26	0.29	0.33	0.37	0.39	0.101	1.802
♂	54	0.26	0.29	0.33	0.37	0.39	0.101	1.790
♂	55	0.26	0.28	0.33	0.37	0.39	0.101	1.778
♂	56	0.26	0.28	0.33	0.37	0.39	0.102	1.767
♂	57	0.26	0.28	0.33	0.37	0.39	0.102	1.756
♂	58	0.25	0.28	0.33	0.37	0.39	0.103	1.746
♂	59	0.25	0.28	0.32	0.37	0.39	0.104	1.735
♂	60	0.25	0.28	0.32	0.37	0.39	0.106	1.725
♂	61	0.25	0.28	0.32	0.36	0.39	0.107	1.715
♂	62	0.25	0.27	0.32	0.36	0.39	0.109	1.705
♂	63	0.24	0.27	0.32	0.36	0.38	0.110	1.696
♂	64	0.24	0.27	0.32	0.36	0.38	0.112	1.686
♂	65	0.24	0.27	0.32	0.36	0.38	0.113	1.677
♂	66	0.24	0.27	0.32	0.36	0.38	0.115	1.667
♂	67	0.24	0.26	0.31	0.36	0.38	0.116	1.658
♂	68	0.23	0.26	0.31	0.36	0.38	0.118	1.648
♂	69	0.23	0.26	0.31	0.36	0.38	0.119	1.639
♂	70	0.23	0.26	0.31	0.36	0.38	0.120	1.629
♂	71	0.23	0.26	0.31	0.35	0.38	0.120	1.619
♂	72	0.23	0.26	0.31	0.35	0.38	0.121	1.610
♂	73	0.23	0.26	0.31	0.35	0.38	0.122	1.600
♂	74	0.23	0.25	0.31	0.35	0.37	0.122	1.590
♂	75	0.23	0.25	0.30	0.35	0.37	0.122	1.580
♂	76	0.22	0.25	0.30	0.35	0.37	0.122	1.570
♂	77	0.22	0.25	0.30	0.35	0.37	0.122	1.560
♂	78	0.22	0.25	0.30	0.34	0.37	0.121	1.550
♂	79	0.22	0.25	0.30	0.34	0.37	0.121	1.540
♂	81	0.22	0.25	0.30	0.34	0.36	0.120	1.520
♂	82	0.22	0.25	0.29	0.34	0.36	0.119	1.510
♂	88	0.22	0.24	0.29	0.33	0.35	0.115	1.449

AFAT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	0.41	0.54	0.94	1.78	2.60	0.464	-0.223
♀	19	0.41	0.54	0.95	1.83	2.69	0.474	-0.214
♀	20	0.41	0.54	0.97	1.88	2.78	0.484	-0.204
♀	21	0.40	0.54	0.98	1.93	2.88	0.495	-0.195
♀	22	0.40	0.54	1.00	1.99	2.98	0.506	-0.186
♀	23	0.40	0.54	1.01	2.04	3.08	0.516	-0.176
♀	24	0.40	0.54	1.03	2.10	3.19	0.527	-0.167
♀	25	0.39	0.54	1.04	2.16	3.29	0.537	-0.158
♀	26	0.39	0.54	1.06	2.22	3.40	0.548	-0.148
♀	27	0.39	0.54	1.07	2.27	3.51	0.558	-0.139
♀	28	0.38	0.54	1.09	2.33	3.61	0.567	-0.130
♀	29	0.38	0.54	1.10	2.39	3.71	0.576	-0.120
♀	30	0.38	0.54	1.12	2.44	3.80	0.584	-0.111
♀	31	0.38	0.55	1.13	2.50	3.89	0.591	-0.102
♀	32	0.38	0.55	1.15	2.55	3.98	0.598	-0.093
♀	33	0.38	0.55	1.17	2.60	4.06	0.604	-0.083
♀	34	0.38	0.55	1.18	2.65	4.14	0.610	-0.074
♀	35	0.38	0.56	1.20	2.70	4.22	0.615	-0.065
♀	36	0.38	0.56	1.22	2.75	4.30	0.621	-0.055
♀	37	0.38	0.56	1.24	2.80	4.36	0.625	-0.046
♀	38	0.38	0.57	1.25	2.85	4.44	0.630	-0.037
♀	39	0.38	0.57	1.27	2.90	4.51	0.634	-0.027
♀	40	0.38	0.57	1.29	2.94	4.58	0.638	-0.018
♀	41	0.38	0.58	1.31	2.99	4.65	0.642	-0.009
♀	42	0.38	0.58	1.33	3.04	4.70	0.645	0.001
♀	43	0.38	0.59	1.35	3.09	4.77	0.648	0.010
♀	44	0.38	0.59	1.37	3.13	4.82	0.650	0.019
♀	45	0.38	0.60	1.39	3.17	4.86	0.651	0.029
♀	46	0.38	0.60	1.41	3.21	4.90	0.651	0.038
♀	47	0.38	0.61	1.43	3.24	4.93	0.650	0.047
♀	48	0.39	0.62	1.45	3.27	4.95	0.649	0.057
♀	49	0.39	0.63	1.47	3.30	4.98	0.647	0.066
♀	50	0.40	0.64	1.49	3.33	4.99	0.644	0.075
♀	51	0.40	0.65	1.51	3.35	4.99	0.640	0.084
♀	52	0.41	0.66	1.54	3.37	5.00	0.636	0.094
♀	53	0.42	0.67	1.56	3.39	5.00	0.631	0.103
♀	54	0.42	0.68	1.58	3.41	5.00	0.626	0.112
♀	55	0.43	0.70	1.61	3.43	5.00	0.621	0.122
♀	56	0.44	0.71	1.63	3.45	5.00	0.616	0.131
♀	57	0.45	0.72	1.65	3.48	5.00	0.611	0.140
♀	58	0.45	0.73	1.68	3.50	5.00	0.606	0.150
♀	59	0.46	0.75	1.70	3.52	5.01	0.601	0.159
♀	60	0.47	0.76	1.73	3.55	5.02	0.597	0.168
♀	61	0.48	0.77	1.75	3.57	5.04	0.593	0.178
♀	62	0.48	0.79	1.78	3.60	5.05	0.589	0.187
♀	63	0.49	0.80	1.80	3.63	5.07	0.585	0.196
♀	64	0.50	0.81	1.83	3.66	5.10	0.582	0.206
♀	65	0.51	0.83	1.86	3.69	5.12	0.579	0.215
♀	66	0.51	0.84	1.88	3.73	5.15	0.576	0.224
♀	67	0.52	0.85	1.91	3.77	5.19	0.574	0.234
♀	68	0.53	0.87	1.94	3.80	5.22	0.571	0.243
♀	69	0.53	0.88	1.97	3.84	5.25	0.568	0.252
♀	70	0.54	0.89	2.00	3.87	5.28	0.565	0.262
♀	71	0.55	0.91	2.03	3.91	5.31	0.562	0.271
♀	72	0.56	0.92	2.05	3.95	5.34	0.559	0.280
♀	73	0.56	0.94	2.08	3.98	5.37	0.555	0.289
♀	74	0.57	0.96	2.12	4.01	5.39	0.551	0.299
♀	75	0.58	0.97	2.15	4.05	5.42	0.547	0.308
♀	77	0.60	1.01	2.21	4.12	5.47	0.539	0.327
♀	78	0.62	1.03	2.24	4.15	5.49	0.534	0.336
♀	79	0.63	1.05	2.27	4.19	5.53	0.530	0.345
♀	80	0.64	1.07	2.31	4.22	5.55	0.526	0.355
♀	83	0.68	1.13	2.41	4.33	5.64	0.513	0.383
♂	18	0.44	0.55	0.83	1.32	1.73	0.344	-0.226
♂	19	0.44	0.55	0.86	1.41	1.87	0.365	-0.217
♂	20	0.44	0.56	0.89	1.50	2.03	0.386	-0.208
♂	21	0.44	0.56	0.92	1.60	2.20	0.408	-0.199
♂	22	0.44	0.56	0.95	1.70	2.39	0.430	-0.190
♂	23	0.43	0.57	0.98	1.81	2.58	0.451	-0.181
♂	24	0.43	0.57	1.02	1.92	2.77	0.470	-0.172
♂	25	0.43	0.58	1.05	2.02	2.96	0.486	-0.163
♂	26	0.44	0.59	1.08	2.13	3.14	0.500	-0.154
♂	27	0.44	0.60	1.12	2.23	3.30	0.511	-0.145
♂	28	0.44	0.61	1.15	2.32	3.45	0.519	-0.136
♂	29	0.45	0.62	1.19	2.40	3.58	0.525	-0.127
♂	30	0.46	0.64	1.22	2.48	3.69	0.529	-0.118
♂	31	0.47	0.65	1.26	2.55	3.80	0.532	-0.109
♂	32	0.48	0.67	1.29	2.62	3.90	0.534	-0.100
♂	33	0.49	0.68	1.32	2.69	3.99	0.536	-0.091
♂	34	0.49	0.69	1.36	2.76	4.09	0.539	-0.082
♂	35	0.50	0.70	1.39	2.83	4.19	0.542	-0.073
♂	36	0.50	0.71	1.42	2.90	4.29	0.546	-0.064
♂	37	0.51	0.72	1.44	2.96	4.37	0.549	-0.055
♂	38	0.51	0.73	1.47	3.02	4.47	0.553	-0.046
♂	39	0.51	0.74	1.49	3.08	4.55	0.557	-0.037
♂	40	0.51	0.74	1.52	3.14	4.63	0.561	-0.028
♂	41	0.52	0.75	1.54	3.18	4.69	0.563	-0.019
♂	42	0.52	0.76	1.56	3.22	4.74	0.564	-0.010
♂	43	0.53	0.77	1.58	3.26	4.77	0.563	-0.001
♂	44	0.53	0.78	1.60	3.28	4.78	0.560	0.008
♂	45	0.54	0.79	1.62	3.30	4.77	0.555	0.017
♂	46	0.55	0.81	1.65	3.31	4.76	0.549	0.026
♂	47	0.56	0.82	1.67	3.31	4.74	0.543	0.035
♂	48	0.57	0.84	1.69	3.32	4.72	0.537	0.044
♂	49	0.58	0.85	1.71	3.34	4.71	0.532	0.053
♂	50	0.59	0.87	1.73	3.35	4.71	0.528	0.062
♂	51	0.60	0.88	1.75	3.38	4.73	0.526	0.071
♂	52	0.61	0.89	1.77	3.40	4.74	0.524	0.081
♂	53	0.61	0.90	1.79	3.43	4.77	0.523	0.090
♂	54	0.62	0.91	1.81	3.45	4.78	0.521	0.099
♂	55	0.62	0.91	1.83	3.48	4.80	0.520	0.108
♂	56	0.62	0.92	1.85	3.50	4.83	0.519	0.117
♂	57	0.63	0.93	1.87	3.53	4.85	0.518	0.126
♂	58	0.63	0.94	1.89	3.56	4.88	0.518	0.135
♂	59	0.64	0.95	1.90	3.59	4.91	0.518	0.144
♂	60	0.64	0.96	1.92	3.62	4.94	0.518	0.153
♂	61	0.64	0.96	1.94	3.65	4.98	0.519	0.162
♂	62	0.64	0.96	1.96	3.69	5.02	0.521	0.171
♂	63	0.64	0.97	1.98	3.72	5.06	0.523	0.180
♂	64	0.63	0.97	1.99	3.75	5.10	0.525	0.189
♂	65	0.63	0.97	2.01	3.79	5.15	0.528	0.198
♂	66	0.63	0.97	2.02	3.81	5.17	0.529	0.207
♂	67	0.63	0.97	2.04	3.84	5.20	0.531	0.216
♂	68	0.63	0.98	2.05	3.85	5.21	0.530	0.225
♂	69	0.63	0.98	2.06	3.86	5.21	0.529	0.234
♂	70	0.63	0.99	2.07	3.86	5.19	0.525	0.243
♂	71	0.64	1.00	2.08	3.85	5.15	0.520	0.252
♂	72	0.65	1.01	2.09	3.84	5.11	0.514	0.261
♂	73	0.66	1.03	2.10	3.81	5.05	0.505	0.270
♂	74	0.68	1.05	2.11	3.79	4.98	0.496	0.279
♂	75	0.70	1.07	2.12	3.75	4.91	0.485	0.288
♂	76	0.72	1.09	2.13	3.72	4.83	0.473	0.297
♂	77	0.74	1.12	2.14	3.67	4.74	0.460	0.306
♂	78	0.77	1.14	2.15	3.64	4.65	0.447	0.315
♂	79	0.80	1.17	2.16	3.60	4.57	0.434	0.324
♂	81	0.86	1.23	2.18	3.51	4.40	0.406	0.342
♂	82	0.89	1.26	2.19	3.48	4.32	0.393	0.351
♂	88	1.10	1.44	2.25	3.28	3.91	0.317	0.405

ALM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	14.22	16.02	19.85	24.28	26.88	0.162	0.302
♀	19	14.23	16.02	19.84	24.28	26.89	0.162	0.280
♀	20	14.24	16.02	19.83	24.28	26.91	0.162	0.259
♀	21	14.25	16.03	19.83	24.28	26.93	0.162	0.236
♀	22	14.27	16.03	19.82	24.28	26.95	0.162	0.214
♀	23	14.28	16.03	19.81	24.29	26.97	0.162	0.191
♀	24	14.32	16.06	19.81	24.26	26.94	0.161	0.167
♀	25	14.34	16.06	19.80	24.26	26.96	0.161	0.144
♀	26	14.35	16.06	19.79	24.27	26.98	0.161	0.120
♀	27	14.36	16.07	19.79	24.27	27.00	0.161	0.097
♀	28	14.38	16.07	19.78	24.28	27.03	0.161	0.073
♀	29	14.39	16.07	19.78	24.28	27.05	0.161	0.049
♀	30	14.40	16.08	19.77	24.29	27.07	0.161	0.026
♀	31	14.42	16.08	19.77	24.29	27.10	0.161	0.002
♀	32	14.43	16.08	19.76	24.30	27.12	0.161	-0.022
♀	33	14.44	16.08	19.75	24.30	27.14	0.161	-0.046
♀	34	14.45	16.08	19.74	24.30	27.16	0.161	-0.070
♀	35	14.46	16.08	19.73	24.30	27.18	0.161	-0.093
♀	36	14.46	16.08	19.72	24.29	27.19	0.161	-0.117
♀	37	14.46	16.07	19.70	24.28	27.20	0.161	-0.141
♀	38	14.47	16.06	19.68	24.27	27.21	0.161	-0.165
♀	39	14.46	16.05	19.65	24.26	27.21	0.161	-0.188
♀	40	14.49	16.06	19.63	24.20	27.15	0.160	-0.210
♀	41	14.48	16.04	19.59	24.18	27.13	0.160	-0.231
♀	42	14.46	16.02	19.56	24.14	27.12	0.160	-0.250
♀	43	14.45	15.99	19.52	24.10	27.09	0.160	-0.267
♀	44	14.42	15.96	19.48	24.06	27.05	0.160	-0.281
♀	45	14.40	15.92	19.43	24.01	27.00	0.160	-0.293
♀	46	14.36	15.88	19.38	23.95	26.94	0.160	-0.301
♀	47	14.32	15.84	19.32	23.88	26.87	0.160	-0.306
♀	48	14.28	15.79	19.26	23.80	26.78	0.160	-0.307
♀	49	14.23	15.73	19.19	23.72	26.69	0.160	-0.305
♀	50	14.17	15.67	19.12	23.63	26.58	0.160	-0.300
♀	51	14.11	15.61	19.05	23.53	26.47	0.160	-0.291
♀	52	14.04	15.54	18.97	23.43	26.34	0.160	-0.279
♀	53	14.00	15.49	18.89	23.29	26.15	0.159	-0.265
♀	54	13.93	15.41	18.80	23.18	26.01	0.159	-0.248
♀	55	13.85	15.34	18.72	23.06	25.86	0.159	-0.229
♀	56	13.77	15.26	18.63	22.94	25.71	0.159	-0.208
♀	57	13.69	15.17	18.53	22.81	25.55	0.159	-0.185
♀	58	13.61	15.09	18.44	22.69	25.39	0.159	-0.160
♀	59	13.52	15.01	18.35	22.56	25.23	0.159	-0.133
♀	60	13.43	14.92	18.25	22.43	25.06	0.159	-0.105
♀	61	13.34	14.83	18.16	22.30	24.89	0.159	-0.075
♀	62	13.25	14.74	18.06	22.16	24.72	0.159	-0.044
♀	63	13.16	14.66	17.96	22.03	24.55	0.159	-0.011
♀	64	13.09	14.58	17.86	21.86	24.32	0.158	0.023
♀	65	13.00	14.49	17.76	21.73	24.15	0.158	0.059
♀	66	12.90	14.40	17.67	21.59	23.97	0.158	0.095
♀	67	12.80	14.31	17.57	21.45	23.79	0.158	0.132
♀	68	12.71	14.21	17.46	21.31	23.62	0.158	0.170
♀	69	12.61	14.12	17.36	21.17	23.44	0.158	0.209
♀	70	12.51	14.02	17.26	21.03	23.26	0.158	0.249
♀	71	12.41	13.93	17.16	20.89	23.08	0.158	0.289
♀	72	12.30	13.83	17.06	20.75	22.91	0.158	0.330
♀	73	12.20	13.74	16.95	20.61	22.73	0.158	0.371
♀	74	12.10	13.64	16.85	20.47	22.56	0.158	0.412
♀	75	12.03	13.56	16.75	20.31	22.34	0.157	0.453
♀	77	11.82	13.37	16.54	20.03	21.99	0.157	0.537
♀	78	11.71	13.27	16.44	19.89	21.82	0.157	0.579
♀	79	11.61	13.18	16.33	19.74	21.65	0.157	0.622
♀	80	11.50	13.08	16.23	19.60	21.47	0.157	0.665
♀	83	11.19	12.78	15.92	19.18	20.96	0.157	0.794
♂	18	22.13	24.67	29.87	35.62	38.89	0.143	0.454
♂	19	22.23	24.75	29.95	35.73	39.04	0.143	0.417
♂	20	22.32	24.83	30.02	35.84	39.18	0.143	0.380
♂	21	22.36	24.86	30.08	35.98	39.38	0.144	0.343
♂	22	22.43	24.92	30.13	36.06	39.50	0.144	0.307
♂	23	22.50	24.97	30.17	36.13	39.60	0.144	0.271
♂	24	22.55	25.00	30.19	36.17	39.68	0.144	0.237
♂	25	22.58	25.02	30.20	36.20	39.73	0.144	0.205
♂	26	22.60	25.02	30.19	36.20	39.76	0.144	0.174
♂	27	22.61	25.02	30.17	36.19	39.78	0.144	0.146
♂	28	22.61	25.01	30.14	36.17	39.78	0.144	0.120
♂	29	22.61	24.99	30.10	36.15	39.77	0.144	0.097
♂	30	22.61	24.97	30.07	36.12	39.76	0.144	0.076
♂	31	22.61	24.96	30.05	36.10	39.76	0.144	0.057
♂	32	22.61	24.95	30.03	36.09	39.76	0.144	0.042
♂	33	22.61	24.95	30.02	36.09	39.76	0.144	0.029
♂	34	22.62	24.95	30.02	36.09	39.78	0.144	0.019
♂	35	22.58	24.92	30.02	36.14	39.87	0.145	0.011
♂	36	22.59	24.93	30.02	36.15	39.88	0.145	0.006
♂	37	22.60	24.93	30.03	36.16	39.89	0.145	0.004
♂	38	22.60	24.94	30.03	36.16	39.90	0.145	0.005
♂	39	22.60	24.94	30.03	36.16	39.89	0.145	0.009
♂	40	22.59	24.93	30.03	36.16	39.88	0.145	0.016
♂	41	22.57	24.92	30.03	36.14	39.85	0.145	0.027
♂	42	22.55	24.91	30.01	36.12	39.81	0.145	0.041
♂	43	22.52	24.88	29.99	36.08	39.76	0.145	0.057
♂	44	22.48	24.85	29.96	36.03	39.69	0.145	0.077
♂	45	22.43	24.81	29.92	35.97	39.60	0.145	0.099
♂	46	22.37	24.76	29.88	35.90	39.50	0.145	0.123
♂	47	22.30	24.70	29.82	35.81	39.38	0.145	0.150
♂	48	22.18	24.59	29.75	35.76	39.32	0.146	0.179
♂	49	22.09	24.51	29.67	35.64	39.17	0.146	0.209
♂	50	21.99	24.42	29.57	35.51	39.00	0.146	0.241
♂	51	21.87	24.32	29.47	35.37	38.81	0.146	0.274
♂	52	21.75	24.20	29.35	35.20	38.61	0.146	0.308
♂	53	21.62	24.08	29.22	35.03	38.39	0.146	0.343
♂	54	21.48	23.95	29.08	34.84	38.15	0.146	0.378
♂	55	21.33	23.80	28.92	34.63	37.90	0.146	0.414
♂	56	21.17	23.65	28.76	34.42	37.64	0.146	0.449
♂	57	21.00	23.49	28.58	34.19	37.37	0.146	0.485
♂	58	20.83	23.32	28.40	33.95	37.08	0.146	0.521
♂	59	20.65	23.15	28.20	33.70	36.78	0.146	0.557
♂	60	20.46	22.96	28.00	33.44	36.47	0.146	0.594
♂	61	20.22	22.74	27.79	33.21	36.22	0.147	0.631
♂	62	20.03	22.55	27.58	32.93	35.89	0.147	0.668
♂	63	19.83	22.36	27.36	32.66	35.57	0.147	0.705
♂	64	19.63	22.16	27.14	32.38	35.24	0.147	0.742
♂	65	19.43	21.96	26.92	32.10	34.91	0.147	0.780
♂	66	19.23	21.76	26.70	31.82	34.59	0.147	0.817
♂	67	19.03	21.57	26.49	31.55	34.27	0.147	0.855
♂	68	18.83	21.38	26.28	31.28	33.96	0.147	0.894
♂	69	18.64	21.19	26.07	31.01	33.65	0.147	0.932
♂	70	18.45	21.01	25.87	30.76	33.36	0.147	0.971
♂	71	18.27	20.84	25.68	30.51	33.07	0.147	1.010
♂	72	18.09	20.67	25.50	30.28	32.79	0.147	1.049
♂	73	17.87	20.47	25.32	30.08	32.58	0.148	1.087
♂	74	17.70	20.32	25.15	29.86	32.32	0.148	1.126
♂	75	17.53	20.16	24.98	29.65	32.07	0.148	1.165
♂	76	17.37	20.01	24.82	29.45	31.83	0.148	1.203
♂	77	17.22	19.87	24.67	29.25	31.60	0.148	1.241
♂	78	17.06	19.73	24.51	29.05	31.37	0.148	1.280
♂	79	16.91	19.59	24.37	28.86	31.15	0.148	1.318
♂	81	16.60	19.32	24.08	28.49	30.72	0.148	1.394
♂	82	16.45	19.18	23.94	28.31	30.51	0.148	1.432
♂	88	15.50	18.36	23.10	27.27	29.32	0.149	1.660

AFM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	5.80	6.95	9.80	13.91	16.80	0.271	-0.054
♀	19	5.74	6.91	9.86	14.16	17.19	0.280	-0.050
♀	20	5.67	6.87	9.91	14.40	17.60	0.289	-0.046
♀	21	5.60	6.83	9.97	14.65	18.01	0.298	-0.041
♀	22	5.53	6.79	10.03	14.91	18.43	0.307	-0.037
♀	23	5.46	6.75	10.09	15.16	18.86	0.316	-0.033
♀	24	5.40	6.71	10.15	15.43	19.30	0.325	-0.029
♀	25	5.33	6.67	10.20	15.69	19.75	0.334	-0.025
♀	26	5.27	6.63	10.27	15.96	20.20	0.343	-0.021
♀	27	5.21	6.60	10.32	16.22	20.62	0.351	-0.017
♀	28	5.15	6.56	10.38	16.47	21.05	0.359	-0.013
♀	29	5.11	6.54	10.44	16.71	21.45	0.366	-0.008
♀	30	5.07	6.52	10.51	16.93	21.80	0.372	-0.004
♀	31	5.05	6.52	10.57	17.13	22.12	0.377	0.000
♀	32	5.02	6.51	10.63	17.33	22.45	0.382	0.004
♀	33	5.00	6.50	10.69	17.54	22.77	0.387	0.008
♀	34	4.99	6.51	10.75	17.70	23.01	0.390	0.012
♀	35	4.97	6.51	10.81	17.88	23.30	0.394	0.016
♀	36	4.97	6.52	10.88	18.05	23.54	0.397	0.020
♀	37	4.97	6.54	10.94	18.19	23.74	0.399	0.025
♀	38	4.97	6.56	11.01	18.33	23.94	0.401	0.029
♀	39	4.97	6.57	11.07	18.47	24.14	0.403	0.033
♀	40	4.97	6.59	11.13	18.62	24.34	0.405	0.037
♀	41	4.99	6.62	11.20	18.74	24.50	0.406	0.041
♀	42	4.99	6.64	11.26	18.88	24.71	0.408	0.045
♀	43	5.00	6.66	11.33	19.01	24.87	0.409	0.049
♀	44	5.00	6.68	11.40	19.16	25.08	0.411	0.053
♀	45	5.02	6.71	11.46	19.26	25.19	0.411	0.058
♀	46	5.04	6.74	11.53	19.38	25.35	0.412	0.062
♀	47	5.07	6.78	11.60	19.46	25.42	0.411	0.066
♀	48	5.10	6.83	11.66	19.54	25.49	0.410	0.070
♀	49	5.14	6.88	11.73	19.59	25.51	0.408	0.074
♀	50	5.19	6.94	11.80	19.65	25.54	0.406	0.078
♀	51	5.25	7.00	11.87	19.68	25.52	0.403	0.082
♀	52	5.31	7.08	11.94	19.69	25.45	0.399	0.086
♀	53	5.39	7.16	12.01	19.67	25.32	0.394	0.091
♀	54	5.46	7.24	12.08	19.68	25.26	0.390	0.095
♀	55	5.55	7.33	12.15	19.67	25.15	0.385	0.099
♀	56	5.63	7.41	12.22	19.65	25.04	0.380	0.103
♀	57	5.72	7.50	12.29	19.64	24.94	0.375	0.107
♀	58	5.80	7.60	12.36	19.62	24.83	0.370	0.111
♀	59	5.89	7.69	12.43	19.61	24.73	0.365	0.115
♀	60	5.97	7.77	12.51	19.62	24.67	0.361	0.119
♀	61	6.06	7.86	12.58	19.61	24.56	0.356	0.124
♀	62	6.14	7.95	12.65	19.62	24.51	0.352	0.128
♀	63	6.23	8.04	12.73	19.63	24.45	0.348	0.132
♀	64	6.31	8.12	12.80	19.64	24.40	0.344	0.136
♀	65	6.40	8.21	12.88	19.65	24.35	0.340	0.140
♀	66	6.47	8.29	12.95	19.69	24.34	0.337	0.144
♀	67	6.56	8.38	13.03	19.70	24.29	0.333	0.148
♀	68	6.63	8.46	13.10	19.74	24.28	0.330	0.152
♀	69	6.72	8.55	13.18	19.75	24.23	0.326	0.157
♀	70	6.80	8.64	13.26	19.79	24.22	0.323	0.161
♀	71	6.89	8.73	13.33	19.80	24.17	0.319	0.165
♀	72	6.97	8.82	13.41	19.84	24.17	0.316	0.169
♀	73	7.07	8.91	13.49	19.86	24.12	0.312	0.173
♀	74	7.17	9.01	13.57	19.87	24.08	0.308	0.177
♀	75	7.26	9.11	13.65	19.89	24.03	0.304	0.181
♀	77	7.45	9.30	13.81	19.94	23.98	0.297	0.190
♀	78	7.55	9.40	13.89	19.95	23.94	0.293	0.194
♀	79	7.66	9.51	13.97	19.97	23.89	0.289	0.198
♀	80	7.77	9.61	14.05	19.99	23.85	0.285	0.202
♀	83	8.08	9.92	14.30	20.06	23.77	0.274	0.214
♂	18	2.92	3.81	6.47	11.49	15.91	0.430	-0.147
♂	19	2.96	3.86	6.55	11.61	16.03	0.429	-0.142
♂	20	2.99	3.90	6.63	11.74	16.19	0.429	-0.137
♂	21	3.03	3.95	6.71	11.85	16.31	0.428	-0.132
♂	22	3.06	4.00	6.79	11.97	16.44	0.427	-0.127
♂	23	3.10	4.05	6.87	12.09	16.57	0.426	-0.122
♂	24	3.14	4.10	6.95	12.20	16.70	0.425	-0.116
♂	25	3.17	4.15	7.04	12.34	16.87	0.425	-0.111
♂	26	3.21	4.20	7.12	12.47	17.00	0.424	-0.106
♂	27	3.25	4.25	7.21	12.59	17.13	0.423	-0.101
♂	28	3.29	4.30	7.29	12.71	17.27	0.422	-0.096
♂	29	3.33	4.36	7.38	12.83	17.39	0.421	-0.091
♂	30	3.37	4.41	7.46	12.94	17.51	0.420	-0.086
♂	31	3.40	4.45	7.53	13.06	17.66	0.420	-0.080
♂	32	3.43	4.49	7.61	13.16	17.76	0.419	-0.075
♂	33	3.46	4.54	7.68	13.26	17.85	0.418	-0.070
♂	34	3.49	4.58	7.74	13.34	17.93	0.417	-0.065
♂	35	3.51	4.61	7.80	13.43	18.04	0.417	-0.060
♂	36	3.54	4.65	7.86	13.50	18.09	0.416	-0.055
♂	37	3.56	4.67	7.90	13.55	18.12	0.415	-0.049
♂	38	3.58	4.70	7.95	13.59	18.15	0.414	-0.044
♂	39	3.60	4.73	7.98	13.62	18.17	0.413	-0.039
♂	40	3.61	4.74	8.01	13.67	18.21	0.413	-0.034
♂	41	3.62	4.76	8.04	13.69	18.20	0.412	-0.029
♂	42	3.63	4.78	8.07	13.70	18.19	0.411	-0.024
♂	43	3.64	4.79	8.09	13.71	18.18	0.410	-0.019
♂	44	3.65	4.81	8.11	13.72	18.15	0.409	-0.013
♂	45	3.65	4.81	8.12	13.74	18.15	0.409	-0.008
♂	46	3.66	4.83	8.14	13.73	18.12	0.408	-0.003
♂	47	3.67	4.84	8.15	13.72	18.08	0.407	0.002
♂	48	3.67	4.84	8.16	13.71	18.04	0.406	0.007
♂	49	3.68	4.85	8.17	13.70	17.99	0.405	0.012
♂	50	3.67	4.85	8.17	13.70	17.98	0.405	0.017
♂	51	3.68	4.86	8.18	13.68	17.92	0.404	0.023
♂	52	3.68	4.86	8.18	13.66	17.86	0.403	0.028
♂	53	3.68	4.87	8.18	13.64	17.81	0.402	0.033
♂	54	3.68	4.87	8.19	13.63	17.79	0.402	0.038
♂	55	3.68	4.87	8.19	13.62	17.74	0.401	0.043
♂	56	3.69	4.88	8.20	13.60	17.70	0.400	0.048
♂	57	3.69	4.89	8.21	13.59	17.66	0.399	0.053
♂	58	3.69	4.89	8.22	13.60	17.65	0.399	0.059
♂	59	3.70	4.90	8.23	13.59	17.62	0.398	0.064
♂	60	3.70	4.91	8.24	13.59	17.59	0.397	0.069
♂	61	3.71	4.92	8.26	13.59	17.56	0.396	0.074
♂	62	3.71	4.93	8.27	13.60	17.57	0.396	0.079
♂	63	3.72	4.94	8.29	13.60	17.54	0.395	0.084
♂	64	3.73	4.95	8.30	13.61	17.52	0.394	0.090
♂	65	3.74	4.97	8.32	13.61	17.50	0.393	0.095
♂	66	3.74	4.97	8.34	13.63	17.52	0.393	0.100
♂	67	3.75	4.99	8.36	13.64	17.50	0.392	0.105
♂	68	3.76	5.00	8.38	13.65	17.49	0.391	0.110
♂	69	3.77	5.02	8.40	13.65	17.47	0.390	0.115
♂	70	3.78	5.03	8.42	13.68	17.49	0.390	0.120
♂	71	3.79	5.04	8.44	13.69	17.48	0.389	0.126
♂	72	3.80	5.06	8.46	13.70	17.47	0.388	0.131
♂	73	3.81	5.08	8.49	13.71	17.47	0.387	0.136
♂	74	3.82	5.09	8.51	13.75	17.50	0.387	0.141
♂	75	3.83	5.11	8.54	13.77	17.50	0.386	0.146
♂	76	3.84	5.13	8.56	13.78	17.50	0.385	0.151
♂	77	3.86	5.15	8.59	13.81	17.50	0.384	0.157
♂	78	3.86	5.16	8.62	13.85	17.54	0.384	0.162
♂	79	3.88	5.19	8.66	13.87	17.56	0.383	0.167
♂	81	3.91	5.23	8.72	13.93	17.59	0.381	0.177
♂	82	3.92	5.25	8.76	13.98	17.63	0.381	0.182
♂	88	4.02	5.39	8.97	14.19	17.78	0.376	0.213

GF

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	2.33	2.72	3.68	5.02	5.94	0.239	-0.091
♀	19	2.30	2.70	3.70	5.10	6.08	0.248	-0.085
♀	20	2.26	2.68	3.71	5.19	6.22	0.258	-0.079
♀	21	2.22	2.65	3.73	5.29	6.38	0.269	-0.074
♀	22	2.19	2.63	3.74	5.38	6.54	0.279	-0.068
♀	23	2.15	2.60	3.76	5.48	6.71	0.290	-0.062
♀	24	2.12	2.58	3.78	5.57	6.87	0.300	-0.057
♀	25	2.08	2.56	3.79	5.68	7.05	0.311	-0.051
♀	26	2.05	2.53	3.81	5.77	7.21	0.321	-0.045
♀	27	2.02	2.52	3.83	5.86	7.37	0.330	-0.040
♀	28	1.99	2.50	3.84	5.95	7.53	0.339	-0.034
♀	29	1.97	2.48	3.86	6.04	7.67	0.347	-0.028
♀	30	1.95	2.47	3.88	6.12	7.80	0.354	-0.023
♀	31	1.93	2.46	3.89	6.19	7.92	0.360	-0.017
♀	32	1.92	2.45	3.91	6.25	8.02	0.365	-0.011
♀	33	1.91	2.45	3.93	6.30	8.10	0.369	-0.005
♀	34	1.90	2.45	3.94	6.35	8.17	0.372	0.000
♀	35	1.90	2.45	3.96	6.40	8.25	0.375	0.006
♀	36	1.89	2.45	3.98	6.44	8.30	0.377	0.012
♀	37	1.89	2.45	3.99	6.48	8.36	0.379	0.017
♀	38	1.89	2.45	4.01	6.52	8.41	0.381	0.023
♀	39	1.89	2.46	4.03	6.56	8.46	0.383	0.029
♀	40	1.89	2.46	4.05	6.59	8.51	0.384	0.034
♀	41	1.88	2.47	4.06	6.63	8.56	0.386	0.040
♀	42	1.88	2.47	4.08	6.67	8.62	0.388	0.046
♀	43	1.88	2.47	4.10	6.70	8.66	0.389	0.051
♀	44	1.88	2.48	4.11	6.74	8.70	0.390	0.057
♀	45	1.88	2.48	4.13	6.77	8.74	0.391	0.063
♀	46	1.89	2.49	4.15	6.79	8.76	0.391	0.069
♀	47	1.89	2.50	4.17	6.82	8.78	0.391	0.074
♀	48	1.90	2.51	4.19	6.83	8.79	0.390	0.080
♀	49	1.91	2.53	4.20	6.84	8.78	0.388	0.086
♀	50	1.93	2.55	4.22	6.84	8.76	0.385	0.091
♀	51	1.95	2.57	4.24	6.84	8.73	0.382	0.097
♀	52	1.97	2.59	4.26	6.83	8.70	0.378	0.103
♀	53	1.99	2.61	4.28	6.82	8.66	0.374	0.108
♀	54	2.01	2.64	4.29	6.81	8.62	0.370	0.114
♀	55	2.04	2.67	4.31	6.80	8.57	0.365	0.120
♀	56	2.06	2.69	4.33	6.79	8.53	0.361	0.126
♀	57	2.09	2.72	4.35	6.77	8.48	0.356	0.131
♀	58	2.12	2.74	4.37	6.77	8.44	0.352	0.137
♀	59	2.14	2.77	4.39	6.76	8.41	0.348	0.143
♀	60	2.17	2.79	4.41	6.75	8.38	0.344	0.148
♀	61	2.19	2.81	4.42	6.75	8.36	0.341	0.154
♀	62	2.21	2.84	4.44	6.75	8.34	0.338	0.160
♀	63	2.23	2.86	4.46	6.76	8.32	0.335	0.165
♀	64	2.24	2.88	4.48	6.76	8.32	0.333	0.171
♀	65	2.26	2.90	4.50	6.77	8.32	0.331	0.177
♀	66	2.28	2.91	4.52	6.78	8.31	0.329	0.183
♀	67	2.29	2.93	4.54	6.79	8.31	0.327	0.188
♀	68	2.31	2.95	4.56	6.80	8.31	0.325	0.194
♀	69	2.33	2.97	4.58	6.81	8.31	0.323	0.200
♀	70	2.34	2.99	4.60	6.82	8.31	0.321	0.205
♀	71	2.36	3.01	4.62	6.83	8.30	0.319	0.211
♀	72	2.38	3.03	4.64	6.83	8.29	0.316	0.217
♀	73	2.40	3.05	4.66	6.84	8.29	0.314	0.222
♀	74	2.43	3.08	4.68	6.85	8.27	0.311	0.228
♀	75	2.45	3.10	4.69	6.85	8.26	0.308	0.234
♀	77	2.50	3.15	4.73	6.85	8.23	0.302	0.245
♀	78	2.52	3.18	4.76	6.86	8.21	0.299	0.251
♀	79	2.55	3.20	4.78	6.86	8.20	0.296	0.257
♀	80	2.57	3.23	4.80	6.86	8.19	0.293	0.262
♀	83	2.65	3.31	4.86	6.87	8.15	0.284	0.279
♂	18	1.25	1.56	2.39	3.72	4.73	0.340	-0.065
♂	19	1.25	1.57	2.43	3.81	4.86	0.346	-0.062
♂	20	1.25	1.58	2.47	3.90	4.99	0.352	-0.058
♂	21	1.26	1.59	2.51	3.98	5.12	0.357	-0.055
♂	22	1.27	1.61	2.55	4.08	5.25	0.363	-0.052
♂	23	1.27	1.62	2.58	4.16	5.39	0.368	-0.049
♂	24	1.28	1.64	2.62	4.25	5.51	0.372	-0.046
♂	25	1.29	1.65	2.66	4.33	5.63	0.376	-0.043
♂	26	1.30	1.67	2.70	4.41	5.74	0.379	-0.040
♂	27	1.31	1.69	2.74	4.48	5.83	0.380	-0.037
♂	28	1.33	1.71	2.78	4.54	5.92	0.381	-0.034
♂	29	1.34	1.73	2.81	4.61	6.00	0.382	-0.031
♂	30	1.36	1.75	2.85	4.65	6.05	0.381	-0.028
♂	31	1.38	1.77	2.88	4.69	6.10	0.380	-0.025
♂	32	1.39	1.79	2.90	4.73	6.13	0.378	-0.022
♂	33	1.41	1.81	2.93	4.76	6.17	0.377	-0.019
♂	34	1.42	1.83	2.95	4.78	6.19	0.375	-0.016
♂	35	1.44	1.85	2.97	4.80	6.20	0.373	-0.013
♂	36	1.45	1.86	2.99	4.82	6.21	0.372	-0.010
♂	37	1.46	1.87	3.00	4.83	6.21	0.370	-0.007
♂	38	1.47	1.88	3.01	4.83	6.20	0.368	-0.004
♂	39	1.47	1.89	3.02	4.83	6.20	0.367	-0.001
♂	40	1.48	1.89	3.03	4.83	6.18	0.365	0.002
♂	41	1.49	1.90	3.03	4.82	6.16	0.363	0.005
♂	42	1.49	1.91	3.03	4.81	6.14	0.361	0.008
♂	43	1.50	1.91	3.03	4.80	6.11	0.359	0.012
♂	44	1.50	1.92	3.03	4.79	6.08	0.357	0.015
♂	45	1.51	1.92	3.03	4.77	6.05	0.355	0.018
♂	46	1.51	1.92	3.03	4.75	6.02	0.353	0.021
♂	47	1.51	1.93	3.03	4.74	5.99	0.351	0.024
♂	48	1.52	1.93	3.02	4.72	5.95	0.349	0.027
♂	49	1.52	1.93	3.02	4.69	5.92	0.347	0.030
♂	50	1.52	1.93	3.01	4.67	5.88	0.345	0.033
♂	51	1.52	1.93	3.01	4.66	5.85	0.344	0.036
♂	52	1.52	1.92	3.00	4.64	5.82	0.343	0.039
♂	53	1.51	1.92	2.99	4.63	5.81	0.343	0.042
♂	54	1.51	1.92	2.99	4.61	5.78	0.342	0.045
♂	55	1.51	1.91	2.98	4.60	5.77	0.342	0.048
♂	56	1.51	1.91	2.98	4.59	5.75	0.342	0.051
♂	57	1.50	1.91	2.97	4.59	5.75	0.342	0.054
♂	58	1.50	1.91	2.97	4.58	5.74	0.342	0.057
♂	59	1.50	1.91	2.97	4.58	5.74	0.342	0.060
♂	60	1.50	1.90	2.97	4.59	5.74	0.343	0.063
♂	61	1.50	1.90	2.97	4.59	5.74	0.343	0.066
♂	62	1.49	1.90	2.98	4.60	5.75	0.344	0.069
♂	63	1.49	1.90	2.98	4.61	5.77	0.345	0.072
♂	64	1.49	1.90	2.98	4.61	5.78	0.346	0.075
♂	65	1.49	1.90	2.99	4.62	5.79	0.347	0.078
♂	66	1.48	1.90	2.99	4.63	5.81	0.348	0.082
♂	67	1.48	1.90	2.99	4.64	5.81	0.348	0.085
♂	68	1.48	1.90	3.00	4.65	5.83	0.349	0.088
♂	69	1.48	1.90	3.01	4.67	5.85	0.350	0.091
♂	70	1.48	1.90	3.01	4.67	5.86	0.350	0.094
♂	71	1.48	1.91	3.02	4.69	5.88	0.351	0.097
♂	72	1.48	1.91	3.03	4.70	5.89	0.351	0.100
♂	73	1.48	1.91	3.03	4.72	5.91	0.352	0.103
♂	74	1.49	1.92	3.04	4.73	5.92	0.352	0.106
♂	75	1.49	1.92	3.05	4.74	5.93	0.352	0.109
♂	76	1.49	1.93	3.06	4.75	5.95	0.352	0.112
♂	77	1.50	1.93	3.07	4.77	5.96	0.352	0.115
♂	78	1.50	1.94	3.08	4.78	5.98	0.352	0.118
♂	79	1.51	1.95	3.09	4.80	6.00	0.352	0.121
♂	81	1.52	1.96	3.12	4.84	6.04	0.352	0.127
♂	82	1.52	1.97	3.13	4.86	6.06	0.352	0.130
♂	88	1.56	2.02	3.21	4.96	6.18	0.350	0.149

PBF

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	15.54	19.19	27.02	36.07	41.35	0.244	0.539
♀	19	15.49	19.19	27.13	36.28	41.61	0.246	0.552
♀	20	15.44	19.20	27.25	36.50	41.87	0.248	0.565
♀	21	15.38	19.20	27.37	36.72	42.14	0.250	0.578
♀	22	15.29	19.18	27.49	36.99	42.47	0.253	0.592
♀	23	15.23	19.19	27.62	37.21	42.74	0.255	0.606
♀	24	15.17	19.20	27.75	37.45	43.02	0.257	0.620
♀	25	15.07	19.18	27.89	37.73	43.36	0.260	0.635
♀	26	15.00	19.19	28.02	37.97	43.65	0.262	0.650
♀	27	14.94	19.20	28.16	38.21	43.93	0.264	0.665
♀	28	14.87	19.21	28.31	38.46	44.22	0.266	0.681
♀	29	14.80	19.22	28.45	38.72	44.52	0.268	0.696
♀	30	14.72	19.23	28.60	38.97	44.82	0.270	0.712
♀	31	14.69	19.27	28.76	39.19	45.06	0.271	0.729
♀	32	14.66	19.31	28.92	39.42	45.30	0.272	0.745
♀	33	14.62	19.36	29.08	39.65	45.55	0.273	0.762
♀	34	14.63	19.44	29.24	39.84	45.73	0.273	0.779
♀	35	14.59	19.48	29.41	40.08	45.99	0.274	0.797
♀	36	14.60	19.56	29.58	40.28	46.18	0.274	0.814
♀	37	14.66	19.68	29.76	40.45	46.32	0.273	0.832
♀	38	14.66	19.76	29.93	40.66	46.53	0.273	0.850
♀	39	14.66	19.85	30.12	40.87	46.73	0.273	0.869
♀	40	14.72	19.97	30.30	41.05	46.88	0.272	0.887
♀	41	14.72	20.06	30.49	41.28	47.10	0.272	0.906
♀	42	14.78	20.18	30.68	41.46	47.26	0.271	0.925
♀	43	14.78	20.27	30.88	41.70	47.49	0.271	0.944
♀	44	14.83	20.40	31.08	41.89	47.66	0.270	0.964
♀	45	14.89	20.54	31.28	42.10	47.84	0.269	0.983
♀	46	15.01	20.71	31.49	42.26	47.96	0.267	1.003
♀	47	15.06	20.85	31.70	42.47	48.14	0.266	1.024
♀	48	15.25	21.07	31.92	42.60	48.21	0.263	1.044
♀	49	15.37	21.26	32.14	42.78	48.34	0.261	1.065
♀	50	15.57	21.49	32.36	42.92	48.42	0.258	1.085
♀	51	15.77	21.73	32.59	43.07	48.51	0.255	1.106
♀	52	16.05	22.02	32.82	43.18	48.53	0.251	1.127
♀	53	16.33	22.31	33.05	43.29	48.57	0.247	1.149
♀	54	16.62	22.61	33.29	43.41	48.61	0.243	1.170
♀	55	17.00	22.96	33.53	43.50	48.59	0.238	1.192
♀	56	17.31	23.27	33.78	43.62	48.64	0.234	1.214
♀	57	17.71	23.64	34.03	43.71	48.63	0.229	1.237
♀	58	18.05	23.97	34.29	43.85	48.69	0.225	1.259
♀	59	18.47	24.35	34.54	43.94	48.69	0.220	1.282
♀	60	18.83	24.70	34.81	44.09	48.76	0.216	1.304
♀	61	19.20	25.05	35.08	44.23	48.83	0.212	1.327
♀	62	19.58	25.41	35.35	44.39	48.91	0.208	1.351
♀	63	19.97	25.78	35.63	44.54	49.00	0.204	1.374
♀	64	20.38	26.15	35.91	44.70	49.08	0.200	1.397
♀	65	20.79	26.53	36.19	44.86	49.17	0.196	1.421
♀	66	21.13	26.87	36.48	45.07	49.33	0.193	1.445
♀	67	21.48	27.21	36.78	45.29	49.50	0.190	1.469
♀	68	21.93	27.62	37.08	45.46	49.60	0.186	1.493
♀	69	22.29	27.98	37.38	45.69	49.77	0.183	1.518
♀	70	22.67	28.35	37.69	45.91	49.95	0.180	1.543
♀	71	23.06	28.72	38.01	46.15	50.14	0.177	1.567
♀	72	23.56	29.16	38.32	46.34	50.26	0.173	1.592
♀	73	23.96	29.55	38.65	46.58	50.45	0.170	1.618
♀	74	24.39	29.94	38.98	46.82	50.64	0.167	1.643
♀	75	24.92	30.41	39.31	47.02	50.78	0.163	1.668
♀	77	25.82	31.24	39.99	47.53	51.19	0.157	1.720
♀	78	26.39	31.73	40.34	47.75	51.34	0.153	1.746
♀	79	26.87	32.17	40.69	48.01	51.56	0.150	1.772
♀	80	27.37	32.62	41.05	48.28	51.78	0.147	1.798
♀	83	29.03	34.08	42.17	49.07	52.41	0.137	1.878
♂	18	8.78	10.90	16.03	23.00	27.59	0.291	0.182
♂	19	8.70	10.90	16.25	23.54	28.35	0.300	0.198
♂	20	8.61	10.89	16.48	24.09	29.12	0.309	0.214
♂	21	8.52	10.89	16.70	24.66	29.90	0.318	0.230
♂	22	8.45	10.90	16.93	25.20	30.65	0.326	0.246
♂	23	8.39	10.92	17.17	25.73	31.36	0.333	0.262
♂	24	8.35	10.96	17.41	26.24	32.03	0.339	0.278
♂	25	8.35	11.03	17.65	26.69	32.60	0.343	0.294
♂	26	8.38	11.13	17.90	27.09	33.08	0.345	0.309
♂	27	8.44	11.25	18.15	27.47	33.50	0.346	0.324
♂	28	8.52	11.38	18.40	27.81	33.88	0.346	0.338
♂	29	8.63	11.54	18.64	28.08	34.13	0.344	0.352
♂	30	8.75	11.71	18.87	28.34	34.37	0.342	0.366
♂	31	8.88	11.88	19.10	28.56	34.55	0.339	0.380
♂	32	9.02	12.05	19.32	28.76	34.70	0.336	0.393
♂	33	9.15	12.22	19.53	28.94	34.84	0.333	0.406
♂	34	9.25	12.36	19.72	29.14	35.01	0.331	0.418
♂	35	9.38	12.52	19.90	29.28	35.10	0.328	0.430
♂	36	9.47	12.64	20.06	29.44	35.22	0.326	0.442
♂	37	9.58	12.78	20.21	29.53	35.26	0.323	0.454
♂	38	9.67	12.89	20.35	29.65	35.33	0.321	0.465
♂	39	9.78	13.02	20.48	29.72	35.34	0.318	0.476
♂	40	9.86	13.12	20.59	29.81	35.39	0.316	0.486
♂	41	9.96	13.24	20.71	29.85	35.38	0.313	0.496
♂	42	10.07	13.36	20.81	29.89	35.35	0.310	0.506
♂	43	10.18	13.48	20.92	29.93	35.33	0.307	0.515
♂	44	10.29	13.60	21.02	29.97	35.31	0.304	0.524
♂	45	10.41	13.72	21.12	30.00	35.29	0.301	0.532
♂	46	10.52	13.84	21.23	30.04	35.27	0.298	0.540
♂	47	10.64	13.96	21.33	30.08	35.25	0.295	0.547
♂	48	10.77	14.09	21.43	30.11	35.23	0.292	0.555
♂	49	10.89	14.22	21.54	30.16	35.22	0.289	0.562
♂	50	11.02	14.35	21.65	30.20	35.22	0.286	0.568
♂	51	11.12	14.46	21.76	30.28	35.26	0.284	0.575
♂	52	11.26	14.60	21.87	30.33	35.27	0.281	0.581
♂	53	11.34	14.70	21.99	30.46	35.39	0.280	0.587
♂	54	11.45	14.82	22.12	30.56	35.47	0.278	0.593
♂	55	11.57	14.96	22.25	30.67	35.56	0.276	0.599
♂	56	11.67	15.07	22.40	30.83	35.71	0.275	0.605
♂	57	11.80	15.22	22.56	30.97	35.83	0.273	0.611
♂	58	11.87	15.32	22.72	31.19	36.08	0.273	0.616
♂	59	11.98	15.45	22.89	31.38	36.28	0.272	0.622
♂	60	12.05	15.57	23.07	31.62	36.54	0.272	0.628
♂	61	12.14	15.68	23.25	31.86	36.81	0.272	0.633
♂	62	12.22	15.80	23.44	32.11	37.09	0.272	0.639
♂	63	12.30	15.92	23.63	32.36	37.37	0.272	0.644
♂	64	12.38	16.04	23.82	32.62	37.65	0.272	0.650
♂	65	12.46	16.17	24.01	32.87	37.94	0.272	0.655
♂	66	12.55	16.29	24.21	33.13	38.22	0.272	0.660
♂	67	12.63	16.41	24.40	33.38	38.50	0.272	0.666
♂	68	12.75	16.56	24.59	33.60	38.73	0.271	0.671
♂	69	12.87	16.71	24.78	33.82	38.96	0.270	0.677
♂	70	12.99	16.86	24.97	34.03	39.18	0.269	0.682
♂	71	13.15	17.03	25.16	34.21	39.34	0.267	0.688
♂	72	13.32	17.21	25.35	34.39	39.51	0.265	0.693
♂	73	13.48	17.39	25.54	34.57	39.67	0.263	0.699
♂	74	13.65	17.58	25.74	34.76	39.84	0.261	0.704
♂	75	13.86	17.79	25.93	34.90	39.95	0.258	0.710
♂	76	14.08	18.01	26.14	35.06	40.07	0.255	0.715
♂	77	14.30	18.24	26.34	35.21	40.19	0.252	0.721
♂	78	14.53	18.47	26.55	35.37	40.31	0.249	0.726
♂	79	14.81	18.73	26.76	35.50	40.38	0.245	0.732
♂	81	15.34	19.24	27.19	35.80	40.59	0.238	0.743
♂	82	15.58	19.49	27.41	35.97	40.72	0.235	0.749
♂	88	17.32	21.15	28.80	36.93	41.40	0.214	0.782

TBF

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	10.23	12.16	17.15	24.89	30.71	0.279	-0.220
♀	19	10.12	12.09	17.27	25.40	31.58	0.289	-0.213
♀	20	10.00	12.03	17.39	25.92	32.47	0.299	-0.206
♀	21	9.87	11.95	17.51	26.49	33.46	0.310	-0.198
♀	22	9.72	11.86	17.64	27.11	34.56	0.322	-0.191
♀	23	9.59	11.78	17.77	27.71	35.61	0.333	-0.183
♀	24	9.45	11.69	17.90	28.36	36.77	0.345	-0.175
♀	25	9.31	11.61	18.04	29.03	37.97	0.357	-0.168
♀	26	9.18	11.53	18.17	29.67	39.11	0.368	-0.160
♀	27	9.06	11.46	18.31	30.33	40.28	0.379	-0.152
♀	28	8.95	11.40	18.45	30.96	41.38	0.389	-0.144
♀	29	8.85	11.34	18.60	31.60	42.52	0.399	-0.136
♀	30	8.77	11.31	18.74	32.15	43.46	0.407	-0.127
♀	31	8.71	11.29	18.89	32.68	44.35	0.414	-0.119
♀	32	8.66	11.29	19.04	33.17	45.15	0.420	-0.111
♀	33	8.62	11.29	19.20	33.67	45.96	0.426	-0.103
♀	34	8.60	11.31	19.35	34.08	46.56	0.430	-0.094
♀	35	8.57	11.32	19.51	34.54	47.29	0.435	-0.086
♀	36	8.57	11.36	19.67	34.92	47.82	0.438	-0.077
♀	37	8.55	11.38	19.83	35.34	48.44	0.442	-0.068
♀	38	8.55	11.42	20.00	35.73	48.99	0.445	-0.060
♀	39	8.54	11.45	20.17	36.12	49.53	0.448	-0.051
♀	40	8.56	11.50	20.34	36.47	49.97	0.450	-0.042
♀	41	8.55	11.54	20.51	36.87	50.51	0.453	-0.033
♀	42	8.55	11.58	20.69	37.28	51.09	0.456	-0.025
♀	43	8.54	11.62	20.87	37.69	51.65	0.459	-0.016
♀	44	8.55	11.67	21.05	38.05	52.11	0.461	-0.007
♀	45	8.56	11.73	21.24	38.42	52.58	0.463	0.002
♀	46	8.57	11.78	21.42	38.79	53.03	0.465	0.012
♀	47	8.61	11.86	21.61	39.07	53.30	0.465	0.021
♀	48	8.65	11.95	21.80	39.36	53.58	0.465	0.030
♀	49	8.73	12.07	22.00	39.55	53.67	0.463	0.039
♀	50	8.81	12.19	22.20	39.75	53.76	0.461	0.048
♀	51	8.93	12.34	22.40	39.84	53.63	0.457	0.058
♀	52	9.07	12.52	22.60	39.90	53.44	0.452	0.067
♀	53	9.21	12.70	22.81	39.95	53.25	0.447	0.077
♀	54	9.38	12.90	23.02	39.97	52.98	0.441	0.086
♀	55	9.56	13.12	23.23	39.94	52.62	0.434	0.096
♀	56	9.74	13.33	23.45	39.96	52.39	0.428	0.105
♀	57	9.92	13.54	23.66	39.99	52.15	0.422	0.115
♀	58	10.11	13.76	23.89	40.02	51.92	0.416	0.125
♀	59	10.30	13.98	24.11	40.06	51.72	0.410	0.134
♀	60	10.48	14.19	24.34	40.15	51.61	0.405	0.144
♀	61	10.65	14.40	24.57	40.24	51.50	0.400	0.154
♀	62	10.81	14.60	24.80	40.38	51.50	0.396	0.164
♀	63	10.98	14.80	25.04	40.54	51.51	0.392	0.173
♀	64	11.12	14.99	25.28	40.74	51.61	0.389	0.183
♀	65	11.27	15.18	25.52	40.94	51.71	0.386	0.193
♀	66	11.39	15.34	25.77	41.19	51.92	0.384	0.203
♀	67	11.54	15.54	26.02	41.40	52.03	0.381	0.213
♀	68	11.66	15.71	26.27	41.67	52.24	0.379	0.223
♀	69	11.82	15.91	26.53	41.89	52.38	0.376	0.233
♀	70	11.98	16.12	26.79	42.11	52.50	0.373	0.244
♀	71	12.17	16.35	27.06	42.29	52.56	0.369	0.254
♀	72	12.37	16.58	27.32	42.47	52.62	0.365	0.264
♀	73	12.57	16.83	27.59	42.66	52.69	0.361	0.274
♀	74	12.81	17.10	27.87	42.80	52.67	0.356	0.284
♀	75	13.08	17.40	28.15	42.89	52.57	0.350	0.295
♀	77	13.63	18.00	28.72	43.15	52.50	0.339	0.315
♀	78	13.96	18.35	29.01	43.21	52.33	0.332	0.326
♀	79	14.27	18.68	29.30	43.32	52.27	0.326	0.336
♀	80	14.59	19.02	29.60	43.43	52.21	0.320	0.347
♀	83	15.61	20.08	30.52	43.79	52.05	0.302	0.379
♂	18	7.24	8.74	12.72	19.12	24.07	0.305	-0.203
♂	19	7.20	8.75	12.94	19.76	25.10	0.317	-0.197
♂	20	7.15	8.76	13.16	20.45	26.25	0.330	-0.192
♂	21	7.10	8.77	13.38	21.17	27.44	0.343	-0.186
♂	22	7.07	8.79	13.61	21.88	28.62	0.355	-0.180
♂	23	7.03	8.81	13.84	22.61	29.86	0.367	-0.175
♂	24	7.00	8.84	14.08	23.34	31.07	0.378	-0.169
♂	25	6.99	8.88	14.32	24.05	32.25	0.388	-0.163
♂	26	7.00	8.94	14.56	24.71	33.33	0.396	-0.158
♂	27	7.02	9.01	14.81	25.35	34.35	0.403	-0.152
♂	28	7.08	9.11	15.05	25.89	35.15	0.407	-0.146
♂	29	7.13	9.20	15.30	26.44	35.96	0.411	-0.140
♂	30	7.22	9.33	15.54	26.87	36.54	0.412	-0.135
♂	31	7.29	9.44	15.78	27.33	37.18	0.414	-0.129
♂	32	7.39	9.57	16.01	27.71	37.63	0.414	-0.123
♂	33	7.47	9.69	16.23	28.12	38.17	0.415	-0.118
♂	34	7.55	9.81	16.45	28.46	38.59	0.415	-0.112
♂	35	7.62	9.91	16.65	28.83	39.07	0.416	-0.106
♂	36	7.68	10.01	16.84	29.17	39.51	0.417	-0.100
♂	37	7.75	10.11	17.02	29.46	39.86	0.417	-0.095
♂	38	7.80	10.19	17.19	29.77	40.25	0.418	-0.089
♂	39	7.85	10.27	17.35	30.01	40.53	0.418	-0.083
♂	40	7.91	10.36	17.50	30.25	40.81	0.418	-0.078
♂	41	7.96	10.43	17.65	30.47	41.05	0.418	-0.072
♂	42	8.04	10.53	17.78	30.60	41.11	0.416	-0.066
♂	43	8.11	10.63	17.91	30.72	41.17	0.414	-0.061
♂	44	8.18	10.72	18.04	30.82	41.20	0.412	-0.055
♂	45	8.29	10.83	18.16	30.84	41.05	0.408	-0.049
♂	46	8.37	10.94	18.27	30.89	40.98	0.405	-0.043
♂	47	8.47	11.05	18.38	30.89	40.83	0.401	-0.038
♂	48	8.56	11.15	18.49	30.92	40.74	0.398	-0.032
♂	49	8.64	11.24	18.59	30.95	40.64	0.395	-0.026
♂	50	8.72	11.34	18.69	30.97	40.55	0.392	-0.021
♂	51	8.78	11.42	18.78	31.02	40.52	0.390	-0.015
♂	52	8.83	11.48	18.88	31.11	40.56	0.389	-0.009
♂	53	8.87	11.54	18.96	31.20	40.62	0.388	-0.004
♂	54	8.92	11.60	19.05	31.28	40.66	0.387	0.002
♂	55	8.96	11.66	19.14	31.36	40.70	0.386	0.008
♂	56	8.99	11.71	19.23	31.49	40.82	0.386	0.014
♂	57	9.02	11.76	19.33	31.62	40.96	0.386	0.019
♂	58	9.03	11.79	19.42	31.80	41.17	0.387	0.025
♂	59	9.06	11.84	19.52	31.93	41.31	0.387	0.031
♂	60	9.07	11.88	19.61	32.11	41.53	0.388	0.036
♂	61	9.06	11.89	19.71	32.32	41.83	0.390	0.042
♂	62	9.07	11.93	19.81	32.50	42.04	0.391	0.048
♂	63	9.06	11.94	19.90	32.71	42.34	0.393	0.053
♂	64	9.07	11.98	19.99	32.88	42.55	0.394	0.059
♂	65	9.06	11.99	20.08	33.09	42.83	0.396	0.065
♂	66	9.06	12.02	20.18	33.26	43.03	0.397	0.071
♂	67	9.07	12.05	20.26	33.43	43.24	0.398	0.076
♂	68	9.09	12.09	20.35	33.54	43.35	0.398	0.082
♂	69	9.11	12.13	20.44	33.66	43.46	0.398	0.088
♂	70	9.15	12.19	20.52	33.74	43.51	0.397	0.093
♂	71	9.19	12.24	20.61	33.82	43.53	0.396	0.099
♂	72	9.25	12.32	20.69	33.85	43.48	0.394	0.105
♂	73	9.31	12.40	20.78	33.89	43.45	0.392	0.110
♂	74	9.39	12.49	20.87	33.88	43.33	0.389	0.116
♂	75	9.48	12.58	20.96	33.88	43.21	0.386	0.122
♂	76	9.58	12.70	21.05	33.84	43.03	0.382	0.128
♂	77	9.69	12.81	21.14	33.81	42.86	0.378	0.133
♂	78	9.80	12.93	21.24	33.77	42.68	0.374	0.139
♂	79	9.94	13.07	21.33	33.70	42.44	0.369	0.145
♂	81	10.20	13.34	21.53	33.62	42.05	0.360	0.156
♂	82	10.34	13.49	21.63	33.56	41.83	0.355	0.162
♂	88	11.22	14.38	22.26	33.30	40.71	0.327	0.196

RAT_FMHEIGHT2

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	3.73	4.42	6.24	9.11	11.33	0.281	-0.274
♀	19	3.70	4.41	6.28	9.29	11.63	0.290	-0.263
♀	20	3.65	4.38	6.33	9.49	11.98	0.301	-0.252
♀	21	3.61	4.36	6.37	9.69	12.32	0.311	-0.241
♀	22	3.56	4.33	6.42	9.90	12.69	0.322	-0.230
♀	23	3.52	4.30	6.47	10.11	13.05	0.332	-0.219
♀	24	3.47	4.28	6.51	10.33	13.44	0.343	-0.208
♀	25	3.42	4.25	6.56	10.55	13.84	0.354	-0.197
♀	26	3.38	4.23	6.61	10.77	14.21	0.364	-0.186
♀	27	3.34	4.20	6.66	10.99	14.59	0.374	-0.175
♀	28	3.31	4.19	6.71	11.19	14.95	0.383	-0.164
♀	29	3.28	4.17	6.76	11.39	15.28	0.391	-0.152
♀	30	3.25	4.16	6.82	11.59	15.61	0.399	-0.141
♀	31	3.23	4.16	6.87	11.76	15.89	0.405	-0.130
♀	32	3.21	4.16	6.93	11.94	16.16	0.411	-0.119
♀	33	3.20	4.16	6.99	12.10	16.41	0.416	-0.108
♀	34	3.19	4.17	7.05	12.27	16.66	0.421	-0.097
♀	35	3.18	4.18	7.11	12.42	16.88	0.425	-0.086
♀	36	3.17	4.19	7.18	12.58	17.10	0.429	-0.075
♀	37	3.17	4.20	7.24	12.74	17.33	0.433	-0.064
♀	38	3.17	4.21	7.31	12.89	17.52	0.436	-0.053
♀	39	3.17	4.23	7.38	13.04	17.72	0.439	-0.041
♀	40	3.17	4.25	7.45	13.19	17.92	0.442	-0.030
♀	41	3.16	4.26	7.52	13.37	18.17	0.446	-0.019
♀	42	3.16	4.28	7.60	13.53	18.38	0.449	-0.008
♀	43	3.16	4.29	7.68	13.71	18.64	0.453	0.003
♀	44	3.16	4.31	7.76	13.88	18.86	0.456	0.014
♀	45	3.16	4.33	7.84	14.06	19.08	0.459	0.025
♀	46	3.16	4.36	7.92	14.22	19.28	0.461	0.036
♀	47	3.17	4.39	8.01	14.36	19.44	0.462	0.047
♀	48	3.19	4.43	8.10	14.51	19.60	0.463	0.059
♀	49	3.21	4.47	8.19	14.62	19.69	0.462	0.070
♀	50	3.25	4.53	8.27	14.70	19.72	0.459	0.081
♀	51	3.29	4.59	8.37	14.78	19.75	0.456	0.092
♀	52	3.34	4.66	8.46	14.85	19.75	0.452	0.103
♀	53	3.40	4.73	8.56	14.90	19.72	0.447	0.114
♀	54	3.47	4.81	8.65	14.94	19.66	0.441	0.125
♀	55	3.54	4.90	8.75	14.97	19.60	0.435	0.136
♀	56	3.61	4.99	8.85	15.00	19.52	0.428	0.147
♀	57	3.69	5.09	8.95	15.04	19.47	0.422	0.158
♀	58	3.77	5.18	9.05	15.06	19.39	0.415	0.170
♀	59	3.86	5.29	9.16	15.09	19.32	0.408	0.181
♀	60	3.94	5.38	9.26	15.14	19.29	0.402	0.192
♀	61	4.03	5.48	9.37	15.19	19.26	0.396	0.203
♀	62	4.10	5.58	9.48	15.26	19.27	0.391	0.214
♀	63	4.18	5.68	9.59	15.33	19.28	0.386	0.225
♀	64	4.27	5.77	9.70	15.40	19.30	0.381	0.236
♀	65	4.35	5.88	9.81	15.47	19.32	0.376	0.247
♀	66	4.43	5.97	9.93	15.57	19.37	0.372	0.258
♀	67	4.50	6.07	10.05	15.66	19.42	0.368	0.270
♀	68	4.58	6.17	10.16	15.76	19.48	0.364	0.281
♀	69	4.67	6.27	10.28	15.85	19.53	0.360	0.292
♀	70	4.75	6.37	10.40	15.95	19.59	0.356	0.303
♀	71	4.84	6.47	10.53	16.05	19.65	0.352	0.314
♀	72	4.93	6.58	10.65	16.15	19.72	0.348	0.325
♀	73	5.02	6.69	10.77	16.25	19.78	0.344	0.336
♀	74	5.12	6.81	10.90	16.34	19.82	0.339	0.347
♀	75	5.22	6.92	11.03	16.44	19.89	0.335	0.358
♀	77	5.44	7.17	11.28	16.61	19.96	0.325	0.381
♀	78	5.56	7.30	11.42	16.70	20.00	0.320	0.392
♀	79	5.66	7.42	11.55	16.81	20.08	0.316	0.403
♀	80	5.79	7.56	11.69	16.90	20.12	0.311	0.414
♀	83	6.17	7.97	12.10	17.20	20.30	0.297	0.447
♂	18	2.18	2.66	3.95	6.11	7.84	0.324	-0.220
♂	19	2.19	2.68	4.03	6.30	8.14	0.333	-0.214
♂	20	2.19	2.70	4.11	6.51	8.47	0.343	-0.208
♂	21	2.19	2.72	4.18	6.71	8.80	0.352	-0.202
♂	22	2.20	2.74	4.26	6.93	9.14	0.361	-0.197
♂	23	2.20	2.76	4.34	7.14	9.48	0.370	-0.191
♂	24	2.21	2.78	4.43	7.35	9.82	0.378	-0.185
♂	25	2.22	2.81	4.51	7.56	10.14	0.385	-0.179
♂	26	2.23	2.84	4.59	7.77	10.47	0.392	-0.173
♂	27	2.25	2.87	4.68	7.96	10.76	0.397	-0.167
♂	28	2.27	2.91	4.76	8.12	11.00	0.400	-0.161
♂	29	2.30	2.94	4.84	8.29	11.24	0.403	-0.155
♂	30	2.32	2.98	4.92	8.44	11.45	0.405	-0.149
♂	31	2.35	3.02	4.99	8.58	11.62	0.406	-0.143
♂	32	2.38	3.06	5.07	8.71	11.80	0.407	-0.137
♂	33	2.40	3.10	5.14	8.83	11.96	0.408	-0.131
♂	34	2.42	3.13	5.20	8.95	12.11	0.409	-0.125
♂	35	2.45	3.17	5.27	9.05	12.23	0.409	-0.119
♂	36	2.47	3.20	5.33	9.15	12.37	0.410	-0.113
♂	37	2.49	3.23	5.38	9.24	12.47	0.410	-0.107
♂	38	2.51	3.26	5.43	9.32	12.56	0.410	-0.101
♂	39	2.53	3.28	5.48	9.40	12.65	0.410	-0.096
♂	40	2.54	3.31	5.53	9.47	12.73	0.410	-0.090
♂	41	2.56	3.33	5.57	9.52	12.77	0.409	-0.084
♂	42	2.58	3.36	5.61	9.57	12.81	0.408	-0.078
♂	43	2.61	3.39	5.65	9.61	12.83	0.406	-0.072
♂	44	2.63	3.42	5.69	9.64	12.84	0.404	-0.066
♂	45	2.65	3.45	5.73	9.67	12.85	0.402	-0.060
♂	46	2.68	3.48	5.77	9.70	12.86	0.400	-0.054
♂	47	2.71	3.51	5.81	9.72	12.84	0.397	-0.048
♂	48	2.73	3.54	5.84	9.75	12.84	0.395	-0.042
♂	49	2.75	3.57	5.88	9.78	12.85	0.393	-0.036
♂	50	2.77	3.60	5.92	9.80	12.85	0.391	-0.030
♂	51	2.79	3.62	5.95	9.84	12.88	0.390	-0.024
♂	52	2.81	3.65	5.99	9.87	12.88	0.388	-0.018
♂	53	2.83	3.67	6.03	9.91	12.91	0.387	-0.012
♂	54	2.85	3.70	6.06	9.95	12.94	0.386	-0.006
♂	55	2.86	3.72	6.10	10.00	13.00	0.386	0.000
♂	56	2.88	3.74	6.14	10.05	13.03	0.385	0.006
♂	57	2.90	3.77	6.18	10.11	13.10	0.385	0.011
♂	58	2.91	3.79	6.22	10.17	13.17	0.385	0.017
♂	59	2.93	3.81	6.26	10.23	13.24	0.385	0.023
♂	60	2.94	3.84	6.31	10.29	13.30	0.385	0.029
♂	61	2.95	3.86	6.35	10.37	13.40	0.386	0.035
♂	62	2.96	3.87	6.39	10.45	13.49	0.387	0.041
♂	63	2.97	3.89	6.44	10.52	13.59	0.388	0.047
♂	64	2.98	3.91	6.48	10.60	13.68	0.389	0.053
♂	65	2.98	3.93	6.52	10.68	13.78	0.390	0.059
♂	66	2.99	3.95	6.57	10.75	13.87	0.391	0.065
♂	67	3.00	3.96	6.61	10.82	13.96	0.392	0.071
♂	68	3.00	3.98	6.65	10.90	14.05	0.393	0.077
♂	69	3.01	3.99	6.69	10.97	14.14	0.394	0.083
♂	70	3.02	4.01	6.73	11.04	14.22	0.395	0.089
♂	71	3.03	4.03	6.77	11.10	14.29	0.395	0.095
♂	72	3.04	4.05	6.81	11.15	14.34	0.395	0.101
♂	73	3.05	4.07	6.85	11.21	14.41	0.395	0.107
♂	74	3.07	4.10	6.89	11.25	14.44	0.394	0.112
♂	75	3.08	4.12	6.93	11.31	14.51	0.394	0.118
♂	76	3.10	4.14	6.97	11.36	14.55	0.393	0.124
♂	77	3.12	4.17	7.01	11.41	14.58	0.392	0.130
♂	78	3.14	4.20	7.05	11.46	14.62	0.391	0.136
♂	79	3.16	4.23	7.10	11.51	14.67	0.390	0.142
♂	81	3.20	4.29	7.19	11.61	14.76	0.388	0.154
♂	82	3.23	4.32	7.24	11.65	14.78	0.386	0.160
♂	88	3.38	4.52	7.53	11.95	15.03	0.378	0.196

TLM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	34.46	37.95	45.21	53.38	58.10	0.133	0.303
♀	19	34.44	37.92	45.20	53.48	58.29	0.134	0.253
♀	20	34.43	37.90	45.19	53.57	58.48	0.135	0.203
♀	21	34.42	37.87	45.19	53.67	58.68	0.136	0.153
♀	22	34.41	37.85	45.19	53.77	58.89	0.137	0.104
♀	23	34.47	37.87	45.18	53.81	58.98	0.137	0.056
♀	24	34.47	37.86	45.19	53.92	59.20	0.138	0.008
♀	25	34.47	37.84	45.20	54.04	59.44	0.139	-0.038
♀	26	34.47	37.84	45.21	54.17	59.68	0.140	-0.083
♀	27	34.54	37.88	45.24	54.24	59.81	0.140	-0.125
♀	28	34.55	37.89	45.27	54.39	60.07	0.141	-0.166
♀	29	34.63	37.94	45.31	54.47	60.22	0.141	-0.204
♀	30	34.64	37.96	45.35	54.63	60.50	0.142	-0.241
♀	31	34.72	38.02	45.40	54.72	60.65	0.142	-0.275
♀	32	34.80	38.08	45.45	54.82	60.81	0.142	-0.308
♀	33	34.88	38.14	45.51	54.91	60.96	0.142	-0.340
♀	34	34.95	38.20	45.56	55.00	61.11	0.142	-0.370
♀	35	35.03	38.26	45.60	55.09	61.25	0.142	-0.399
♀	36	35.09	38.31	45.65	55.17	61.39	0.142	-0.427
♀	37	35.16	38.36	45.69	55.25	61.52	0.142	-0.454
♀	38	35.21	38.40	45.72	55.31	61.64	0.142	-0.479
♀	39	35.26	38.44	45.75	55.37	61.74	0.142	-0.504
♀	40	35.30	38.46	45.76	55.41	61.84	0.142	-0.527
♀	41	35.39	38.53	45.78	55.37	61.77	0.141	-0.548
♀	42	35.41	38.54	45.78	55.39	61.83	0.141	-0.567
♀	43	35.42	38.54	45.77	55.40	61.86	0.141	-0.584
♀	44	35.42	38.53	45.75	55.39	61.88	0.141	-0.597
♀	45	35.47	38.56	45.72	55.28	61.72	0.140	-0.608
♀	46	35.44	38.53	45.67	55.24	61.69	0.140	-0.616
♀	47	35.40	38.48	45.62	55.17	61.62	0.140	-0.620
♀	48	35.35	38.42	45.55	55.09	61.53	0.140	-0.620
♀	49	35.28	38.35	45.46	54.98	61.40	0.140	-0.616
♀	50	35.20	38.27	45.37	54.86	61.26	0.140	-0.608
♀	51	35.11	38.17	45.27	54.73	61.08	0.140	-0.596
♀	52	35.01	38.07	45.16	54.58	60.89	0.140	-0.581
♀	53	34.90	37.96	45.04	54.42	60.68	0.140	-0.563
♀	54	34.78	37.85	44.92	54.25	60.46	0.140	-0.541
♀	55	34.66	37.73	44.80	54.08	60.22	0.140	-0.517
♀	56	34.53	37.61	44.67	53.90	59.98	0.140	-0.490
♀	57	34.40	37.49	44.54	53.72	59.73	0.140	-0.460
♀	58	34.27	37.37	44.42	53.54	59.48	0.140	-0.429
♀	59	34.14	37.24	44.29	53.35	59.22	0.140	-0.395
♀	60	34.00	37.12	44.17	53.17	58.96	0.140	-0.360
♀	61	33.92	37.04	44.04	52.91	58.58	0.139	-0.323
♀	62	33.78	36.91	43.92	52.73	58.32	0.139	-0.285
♀	63	33.64	36.79	43.79	52.54	58.06	0.139	-0.245
♀	64	33.50	36.66	43.67	52.36	57.80	0.139	-0.205
♀	65	33.35	36.53	43.54	52.17	57.54	0.139	-0.164
♀	66	33.21	36.40	43.42	51.98	57.28	0.139	-0.122
♀	67	33.06	36.27	43.29	51.80	57.02	0.139	-0.079
♀	68	32.91	36.14	43.16	51.61	56.76	0.139	-0.036
♀	69	32.76	36.01	43.04	51.42	56.50	0.139	0.007
♀	70	32.61	35.88	42.91	51.24	56.24	0.139	0.051
♀	71	32.46	35.75	42.78	51.05	55.99	0.139	0.095
♀	72	32.38	35.66	42.66	50.80	55.63	0.138	0.139
♀	73	32.23	35.53	42.53	50.62	55.38	0.138	0.184
♀	74	32.08	35.40	42.41	50.44	55.13	0.138	0.228
♀	75	31.93	35.27	42.28	50.25	54.89	0.138	0.273
♀	77	31.62	35.01	42.04	49.90	54.41	0.138	0.363
♀	78	31.54	34.93	41.91	49.66	54.07	0.137	0.408
♀	79	31.39	34.80	41.79	49.48	53.84	0.137	0.453
♀	80	31.23	34.67	41.67	49.31	53.61	0.137	0.498
♀	83	30.77	34.29	41.30	48.78	52.93	0.137	0.632
♂	18	48.70	53.70	63.76	74.61	80.67	0.128	0.538
♂	19	49.00	53.96	64.02	74.97	81.12	0.128	0.481
♂	20	49.18	54.14	64.26	75.40	81.71	0.129	0.425
♂	21	49.46	54.38	64.49	75.72	82.13	0.129	0.369
♂	22	49.72	54.60	64.70	76.01	82.52	0.129	0.314
♂	23	49.94	54.79	64.87	76.27	82.87	0.129	0.261
♂	24	50.14	54.94	65.01	76.49	83.17	0.129	0.210
♂	25	50.30	55.07	65.11	76.65	83.42	0.129	0.163
♂	26	50.42	55.15	65.17	76.77	83.61	0.129	0.119
♂	27	50.41	55.14	65.21	76.95	83.92	0.130	0.078
♂	28	50.49	55.18	65.23	77.01	84.04	0.130	0.041
♂	29	50.55	55.22	65.24	77.05	84.15	0.130	0.008
♂	30	50.61	55.25	65.25	77.10	84.24	0.130	-0.022
♂	31	50.67	55.29	65.27	77.15	84.34	0.130	-0.048
♂	32	50.73	55.34	65.31	77.22	84.46	0.130	-0.072
♂	33	50.81	55.40	65.36	77.31	84.58	0.130	-0.092
♂	34	50.79	55.40	65.42	77.50	84.89	0.131	-0.109
♂	35	50.87	55.47	65.50	77.61	85.03	0.131	-0.123
♂	36	50.95	55.55	65.58	77.72	85.16	0.131	-0.133
♂	37	51.02	55.62	65.66	77.82	85.29	0.131	-0.140
♂	38	51.09	55.70	65.75	77.92	85.40	0.131	-0.143
♂	39	51.16	55.77	65.83	78.02	85.51	0.131	-0.142
♂	40	51.21	55.83	65.91	78.11	85.60	0.131	-0.135
♂	41	51.15	55.82	65.99	78.29	85.83	0.132	-0.122
♂	42	51.18	55.86	66.06	78.36	85.87	0.132	-0.105
♂	43	51.19	55.89	66.12	78.40	85.88	0.132	-0.082
♂	44	51.17	55.91	66.16	78.42	85.86	0.132	-0.054
♂	45	51.14	55.91	66.19	78.42	85.80	0.132	-0.022
♂	46	51.09	55.89	66.20	78.39	85.71	0.132	0.015
♂	47	50.91	55.77	66.19	78.43	85.75	0.133	0.054
♂	48	50.81	55.71	66.16	78.35	85.59	0.133	0.097
♂	49	50.68	55.63	66.10	78.23	85.39	0.133	0.142
♂	50	50.54	55.52	66.02	78.08	85.16	0.133	0.188
♂	51	50.37	55.39	65.92	77.90	84.89	0.133	0.235
♂	52	50.18	55.24	65.78	77.69	84.59	0.133	0.282
♂	53	49.96	55.06	65.62	77.45	84.26	0.133	0.329
♂	54	49.62	54.78	65.43	77.27	84.05	0.134	0.376
♂	55	49.37	54.56	65.21	76.97	83.66	0.134	0.420
♂	56	49.10	54.33	64.97	76.65	83.25	0.134	0.463
♂	57	48.82	54.07	64.71	76.30	82.81	0.134	0.504
♂	58	48.54	53.80	64.43	75.93	82.37	0.134	0.541
♂	59	48.24	53.52	64.13	75.54	81.90	0.134	0.576
♂	60	47.93	53.23	63.81	75.13	81.42	0.134	0.609
♂	61	47.50	52.84	63.47	74.79	81.05	0.135	0.639
♂	62	47.18	52.52	63.12	74.35	80.54	0.135	0.667
♂	63	46.85	52.19	62.76	73.89	80.01	0.135	0.694
♂	64	46.52	51.86	62.38	73.43	79.48	0.135	0.718
♂	65	46.18	51.52	62.00	72.95	78.94	0.135	0.742
♂	66	45.84	51.17	61.61	72.48	78.40	0.135	0.764
♂	67	45.39	50.76	61.22	72.09	77.98	0.136	0.786
♂	68	45.06	50.42	60.83	71.61	77.45	0.136	0.808
♂	69	44.73	50.08	60.45	71.14	76.91	0.136	0.829
♂	70	44.40	49.75	60.08	70.68	76.39	0.136	0.851
♂	71	44.09	49.42	59.71	70.23	75.88	0.136	0.872
♂	72	43.78	49.11	59.35	69.79	75.39	0.136	0.893
♂	73	43.47	48.80	59.01	69.37	74.90	0.136	0.915
♂	74	43.06	48.43	58.67	69.03	74.55	0.137	0.937
♂	75	42.78	48.14	58.35	68.63	74.10	0.137	0.958
♂	76	42.50	47.86	58.03	68.24	73.65	0.137	0.980
♂	77	42.22	47.59	57.72	67.86	73.22	0.137	1.002
♂	78	41.95	47.32	57.42	67.49	72.80	0.137	1.024
♂	79	41.68	47.06	57.13	67.12	72.38	0.137	1.046
♂	81	41.05	46.47	56.56	66.48	71.69	0.138	1.089
♂	82	40.79	46.22	56.27	66.13	71.29	0.138	1.111
♂	88	39.16	44.66	54.62	64.15	69.06	0.139	1.242

Region Western Asia

Country: Saudi Arabia

saudi.ref

Citations

• Mouzan, M. I. E., Salloum, A. A. A., Alqurashi, M. M., Herbish, A. S. A. & Omar, A. A. The LMS and Z scale growth reference for Saudi school-age children and adolescents. Saudi Journal of Gastroenterology 22, 331 (2016)
• Shaik, S.A., El Mouzan, M.I., AlSalloum, A.A., AlHerbish, A.S., 2016. Growth reference for Saudi preschool children: LMS parameters and percentiles. Ann Saudi Med 36, 2–6. doi:10.5144/0256-4947.2016.2

HEIGHT5_18

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	96.34	100.27	107.72	115.18	119.14	0.9657	0.0540
♀	6	101.35	105.39	113.04	120.69	124.74	0.9925	0.0528
♀	7	106.57	110.73	118.59	126.44	130.60	1.0122	0.0517
♀	8	111.57	115.81	123.83	131.84	136.08	1.0060	0.0505
♀	9	116.56	120.87	129.03	137.21	141.54	0.9727	0.0494
♀	10	121.84	126.22	134.53	142.87	147.30	0.9259	0.0483
♀	11	127.39	131.82	140.25	148.75	153.28	0.8709	0.0471
♀	12	132.72	137.18	145.70	154.32	158.93	0.7864	0.0459
♀	13	137.09	141.53	150.05	158.76	163.44	0.6403	0.0448
♀	14	140.06	144.42	152.88	161.63	166.37	0.4087	0.0439
♀	15	141.75	146.01	154.39	163.19	168.04	0.0921	0.0434
♀	16	142.62	146.78	155.09	164.01	169.01	-0.2982	0.0433
♀	17	143.13	147.21	155.49	164.62	169.84	-0.7475	0.0436
♀	18	143.58	147.58	155.87	165.28	170.80	-1.2450	0.0441
♂	5	96.83	100.73	108.00	115.16	118.90	1.2455	0.0521
♂	6	102.03	106.05	113.61	121.13	125.10	1.0668	0.0518
♂	7	107.17	111.29	119.11	126.98	131.16	0.9036	0.0514
♂	8	112.05	116.29	124.39	132.61	137.01	0.7696	0.0512
♂	9	116.60	120.95	129.31	137.85	142.45	0.6647	0.0510
♂	10	120.84	125.31	133.95	142.82	147.61	0.5850	0.0510
♂	11	125.23	129.86	138.80	148.00	152.98	0.5632	0.0510
♂	12	130.07	134.90	144.19	153.68	158.78	0.6621	0.0508
♂	13	135.20	140.28	149.94	159.65	164.81	0.9035	0.0504
♂	14	140.54	145.91	155.91	165.74	170.88	1.2749	0.0496
♂	15	145.29	150.95	161.22	171.01	176.03	1.7517	0.0485
♂	16	148.76	154.62	164.97	174.55	179.35	2.2915	0.0470
♂	17	151.03	157.03	167.32	176.56	181.10	2.8584	0.0453
♂	18	152.50	158.58	168.73	177.58	181.86	3.4347	0.0436

WEIGTH5_13

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	12.28	13.45	16.38	20.85	24.30	-0.9263	0.1686
♀	6	13.57	14.94	18.40	23.78	28.03	-0.9001	0.1787
♀	7	14.99	16.59	20.68	27.18	32.42	-0.8715	0.1897
♀	8	16.55	18.41	23.23	31.03	37.43	-0.8425	0.2004
♀	9	18.38	20.55	26.22	35.53	43.30	-0.8137	0.2102
♀	10	20.59	23.12	29.77	40.83	50.15	-0.7861	0.2183
♀	11	23.19	26.12	33.87	46.82	57.80	-0.7622	0.2240
♀	12	26.04	29.39	38.24	53.10	65.70	-0.7481	0.2271
♀	13	28.91	32.63	42.50	59.08	73.17	-0.7469	0.2279
♂	5	12.79	13.90	16.65	20.81	24.01	-1.0468	0.1551
♂	6	14.03	15.34	18.64	23.80	27.92	-1.0326	0.1685
♂	7	15.24	16.76	20.66	26.96	32.17	-1.0155	0.1819
♂	8	16.78	18.56	23.20	30.93	37.53	-0.9912	0.1952
♂	9	18.47	20.55	26.06	35.45	43.67	-0.9525	0.2081
♂	10	20.17	22.59	29.04	40.21	50.12	-0.8979	0.2201
♂	11	22.09	24.89	32.42	45.50	57.12	-0.8295	0.2306
♂	12	24.39	27.65	36.42	51.58	64.88	-0.7531	0.2389
♂	13	26.97	30.74	40.85	58.12	72.97	-0.6787	0.2447

BMI5_18

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	11.56	12.36	14.28	17.08	19.17	-1.3164	0.1245
♀	6	11.56	12.41	14.48	17.57	19.94	-1.2951	0.1336
♀	7	11.60	12.51	14.76	18.21	20.92	-1.2714	0.1437
♀	8	11.75	12.72	15.17	19.02	22.14	-1.2441	0.1538
♀	9	11.98	13.03	15.70	20.00	23.56	-1.2113	0.1635
♀	10	12.32	13.46	16.38	21.16	25.19	-1.1718	0.1725
♀	11	12.79	14.02	17.21	22.49	27.00	-1.1272	0.1802
♀	12	13.36	14.69	18.17	23.95	28.93	-1.0855	0.1863
♀	13	13.98	15.42	19.17	25.45	30.86	-1.0529	0.1910
♀	14	14.57	16.10	20.10	26.81	32.63	-1.0301	0.1946
♀	15	15.05	16.65	20.85	27.94	34.09	-1.0152	0.1974
♀	16	15.41	17.08	21.45	28.85	35.30	-1.0068	0.1999
♀	17	15.65	17.36	21.86	29.51	36.23	-0.9991	0.2024
♀	18	15.77	17.51	22.11	29.97	36.89	-0.9886	0.2049
♂	5	11.63	12.43	14.38	17.22	19.33	-1.3153	0.1251
♂	6	11.60	12.45	14.54	17.63	19.98	-1.2759	0.1334
♂	7	11.62	12.52	14.75	18.12	20.74	-1.2365	0.1418
♂	8	11.75	12.71	15.11	18.81	21.72	-1.1971	0.1501
♂	9	11.98	13.02	15.63	19.70	22.96	-1.1577	0.1585
♂	10	12.29	13.40	16.24	20.73	24.39	-1.1183	0.1668
♂	11	12.62	13.82	16.90	21.85	25.95	-1.0789	0.1752
♂	12	12.95	14.25	17.58	23.03	27.59	-1.0395	0.1835
♂	13	13.27	14.66	18.27	24.22	29.28	-1.0001	0.1919
♂	14	13.58	15.07	18.95	25.44	31.01	-0.9607	0.2002
♂	15	13.89	15.47	19.65	26.70	32.82	-0.9213	0.2086
♂	16	14.18	15.86	20.34	27.98	34.66	-0.8819	0.2169
♂	17	14.44	16.23	21.01	29.25	36.50	-0.8425	0.2253
♂	18	14.67	16.56	21.66	30.50	38.33	-0.8032	0.2336

PS_HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	46.31	47.65	50.56	54.10	56.31	-2.1013	0.0492
♂	0.0833333	49.11	50.56	53.72	57.64	60.14	-2.2658	0.0508
♂	0.1666667	51.82	53.37	56.78	61.06	63.82	-2.3748	0.0521
♂	0.2500000	54.33	55.99	59.64	64.24	67.23	-2.3868	0.0532
♂	0.3333333	56.61	58.37	62.24	67.11	70.25	-2.2686	0.0540
♂	0.4166667	58.63	60.50	64.58	69.61	72.80	-1.9932	0.0544
♂	0.5000000	60.35	62.35	66.63	71.74	74.87	-1.5171	0.0545
♂	0.5833333	61.79	63.94	68.43	73.53	76.53	-0.8600	0.0544
♂	0.6666667	62.98	65.32	70.01	75.07	77.92	-0.1229	0.0543
♂	0.7500000	64.02	66.55	71.43	76.45	79.17	0.5929	0.0541
♂	0.8333333	64.96	67.68	72.75	77.75	80.37	1.2080	0.0540
♂	0.9166667	65.89	68.77	74.01	79.01	81.57	1.6704	0.0539
♂	1.0000000	66.82	69.83	75.21	80.24	82.79	1.9415	0.0539
♂	2.0000000	77.06	80.13	86.05	92.14	95.44	0.5802	0.0545
♂	3.0000000	83.84	87.46	94.27	101.02	104.57	1.1147	0.0561
♂	4.0000000	91.33	94.90	101.84	109.03	112.93	0.4895	0.0541
♂	5.0000000	95.11	99.51	107.23	114.32	117.87	2.2278	0.0537
♀	0.0000000	45.70	47.08	50.06	53.62	55.82	-1.7970	0.0505
♀	0.0833333	48.58	50.07	53.27	57.14	59.54	-1.8428	0.0513
♀	0.1666667	51.35	52.95	56.38	60.54	63.12	-1.8456	0.0520
♀	0.2500000	53.91	55.61	59.27	63.68	66.41	-1.7750	0.0526
♀	0.3333333	56.21	58.01	61.88	66.51	69.35	-1.6099	0.0531
♀	0.4166667	58.21	60.14	64.22	69.00	71.89	-1.3316	0.0535
♀	0.5000000	59.90	61.96	66.25	71.14	74.01	-0.9021	0.0538
♀	0.5833333	61.29	63.51	68.01	72.94	75.74	-0.3320	0.0540
♀	0.6666667	62.43	64.83	69.54	74.49	77.20	0.2951	0.0542
♀	0.7500000	63.41	66.00	70.92	75.87	78.51	0.8924	0.0543
♀	0.8333333	64.34	67.11	72.21	77.18	79.76	1.3906	0.0544
♀	0.9166667	65.27	68.19	73.46	78.46	81.02	1.7457	0.0545
♀	1.0000000	66.25	69.27	74.66	79.72	82.28	1.9267	0.0545
♀	2.0000000	76.54	79.60	85.53	91.68	95.01	0.5131	0.0551
♀	3.0000000	83.39	86.99	93.76	100.46	103.98	1.1291	0.0560
♀	4.0000000	90.82	94.41	101.38	108.59	112.51	0.5081	0.0546
♀	5.0000000	94.77	99.10	106.71	113.72	117.24	2.1920	0.0533

PS_WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	2.44	2.65	3.15	3.79	4.21	-0.4721	0.1390
♂	0.0833333	3.20	3.50	4.18	5.02	5.54	-0.2432	0.1397
♂	0.1666667	3.90	4.28	5.13	6.14	6.76	-0.0177	0.1404
♂	0.2500000	4.47	4.94	5.94	7.10	7.78	0.2018	0.1411
♂	0.3333333	4.94	5.50	6.64	7.91	8.63	0.4127	0.1417
♂	0.4166667	5.34	5.97	7.24	8.61	9.37	0.6134	0.1422
♂	0.5000000	5.66	6.38	7.77	9.21	10.00	0.8028	0.1426
♂	0.5833333	5.92	6.71	8.22	9.73	10.53	0.9794	0.1430
♂	0.6666667	6.13	7.00	8.60	10.16	10.97	1.1410	0.1432
♂	0.7500000	6.31	7.25	8.94	10.55	11.37	1.2848	0.1434
♂	0.8333333	6.47	7.48	9.25	10.90	11.73	1.4073	0.1434
♂	0.9166667	6.62	7.69	9.53	11.21	12.05	1.5058	0.1434
♂	1.0000000	6.76	7.88	9.79	11.50	12.35	1.5773	0.1433
♂	2.0000000	8.61	9.76	11.91	14.02	15.14	1.0787	0.1397
♂	3.0000000	10.29	11.34	13.60	16.26	17.85	0.0892	0.1406
♂	4.0000000	11.73	12.84	15.37	18.65	20.78	-0.3815	0.1453
♂	5.0000000	12.52	13.73	16.59	20.48	23.13	-0.5363	0.1553
♀	0.0000000	2.47	2.65	3.09	3.73	4.22	-1.2798	0.1318
♀	0.0833333	3.13	3.37	3.94	4.78	5.41	-1.1737	0.1347
♀	0.1666667	3.75	4.05	4.76	5.78	6.54	-1.0697	0.1375
♀	0.2500000	4.31	4.66	5.50	6.70	7.56	-0.9710	0.1400
♀	0.3333333	4.80	5.20	6.16	7.52	8.48	-0.8777	0.1423
♀	0.4166667	5.23	5.68	6.75	8.24	9.29	-0.7868	0.1442
♀	0.5000000	5.60	6.09	7.26	8.87	9.99	-0.6957	0.1459
♀	0.5833333	5.91	6.45	7.71	9.42	10.58	-0.6022	0.1472
♀	0.6666667	6.17	6.75	8.09	9.88	11.08	-0.5032	0.1483
♀	0.7500000	6.39	7.01	8.42	10.27	11.49	-0.3999	0.1490
♀	0.8333333	6.58	7.23	8.71	10.61	11.83	-0.2963	0.1495
♀	0.9166667	6.74	7.42	8.96	10.90	12.13	-0.1972	0.1498
♀	1.0000000	6.88	7.60	9.19	11.16	12.39	-0.1071	0.1499
♀	2.0000000	8.49	9.45	11.48	13.84	15.24	0.2172	0.1489
♀	3.0000000	9.92	10.92	13.17	16.02	17.85	-0.2418	0.1495
♀	4.0000000	11.23	12.24	14.67	18.12	20.60	-0.7951	0.1518
♀	5.0000000	12.37	13.63	16.54	20.35	22.85	-0.3476	0.1560

PS_BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	9.61	10.57	12.61	14.96	16.34	0.1928	0.1353
♂	0.0833333	10.50	11.56	13.78	16.33	17.82	0.2076	0.1347
♂	0.1666667	11.32	12.45	14.84	17.56	19.15	0.2224	0.1341
♂	0.2500000	12.00	13.20	15.72	18.58	20.25	0.2364	0.1334
♂	0.3333333	12.52	13.78	16.39	19.36	21.09	0.2487	0.1328
♂	0.4166667	12.91	14.20	16.88	19.92	21.69	0.2586	0.1322
♂	0.5000000	13.17	14.48	17.21	20.29	22.08	0.2655	0.1315
♂	0.5833333	13.34	14.66	17.40	20.51	22.30	0.2690	0.1309
♂	0.6666667	13.43	14.75	17.50	20.60	22.40	0.2690	0.1303
♂	0.7500000	13.46	14.77	17.51	20.60	22.39	0.2654	0.1297
♂	0.8333333	13.45	14.75	17.47	20.54	22.32	0.2583	0.1291
♂	0.9166667	13.40	14.69	17.38	20.43	22.20	0.2477	0.1286
♂	1.0000000	13.34	14.61	17.27	20.29	22.04	0.2339	0.1280
♂	2.0000000	12.54	13.61	15.92	18.66	20.32	-0.1040	0.1231
♂	3.0000000	12.22	13.17	15.29	17.94	19.61	-0.4281	0.1203
♂	4.0000000	11.94	12.83	14.83	17.40	19.07	-0.6351	0.1186
♂	5.0000000	11.76	12.60	14.52	17.08	18.81	-0.8700	0.1181
♀	0.0000000	9.85	10.69	12.60	15.04	16.62	-0.4291	0.1329
♀	0.0833333	10.57	11.49	13.56	16.16	17.81	-0.3459	0.1327
♀	0.1666667	11.24	12.24	14.45	17.19	18.90	-0.2591	0.1324
♀	0.2500000	11.82	12.89	15.23	18.08	19.84	-0.1675	0.1319
♀	0.3333333	12.30	13.43	15.88	18.81	20.59	-0.0713	0.1314
♀	0.4166667	12.67	13.85	16.38	19.37	21.15	0.0287	0.1308
♀	0.5000000	12.93	14.16	16.76	19.76	21.54	0.1297	0.1302
♀	0.5833333	13.10	14.36	17.01	20.02	21.78	0.2289	0.1295
♀	0.6666667	13.19	14.49	17.17	20.17	21.89	0.3236	0.1289
♀	0.7500000	13.22	14.54	17.24	20.22	21.91	0.4117	0.1283
♀	0.8333333	13.20	14.54	17.25	20.19	21.85	0.4912	0.1278
♀	0.9166667	13.15	14.50	17.21	20.12	21.74	0.5589	0.1273
♀	1.0000000	13.08	14.44	17.13	20.00	21.59	0.6117	0.1268
♀	2.0000000	12.46	13.55	15.89	18.63	20.26	0.0055	0.1241
♀	3.0000000	12.07	12.95	14.99	17.79	19.73	-0.9782	0.1229
♀	4.0000000	11.88	12.73	14.69	17.31	19.07	-0.8649	0.1191
♀	5.0000000	11.67	12.57	14.56	17.05	18.64	-0.4711	0.1189

PS_HC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	32.02	32.87	34.70	36.91	38.29	-2.2577	0.0450
♂	0.0833333	33.71	34.61	36.53	38.82	40.21	-2.0371	0.0445
♂	0.1666667	35.31	36.26	38.26	40.60	42.02	-1.8050	0.0440
♂	0.2500000	36.75	37.74	39.81	42.19	43.61	-1.5520	0.0434
♂	0.3333333	37.99	39.02	41.15	43.56	44.97	-1.2709	0.0429
♂	0.4166667	39.03	40.10	42.27	44.69	46.09	-0.9633	0.0423
♂	0.5000000	39.88	40.98	43.20	45.62	46.99	-0.6350	0.0418
♂	0.5833333	40.57	41.70	43.95	46.35	47.69	-0.2935	0.0412
♂	0.6666667	41.13	42.29	44.56	46.94	48.25	0.0495	0.0407
♂	0.7500000	41.61	42.78	45.06	47.42	48.69	0.3803	0.0401
♂	0.8333333	42.01	43.21	45.50	47.82	49.07	0.6866	0.0396
♂	0.9166667	42.36	43.57	45.87	48.17	49.39	0.9588	0.0391
♂	1.0000000	42.67	43.89	46.20	48.48	49.67	1.1909	0.0387
♂	2.0000000	44.97	46.13	48.31	50.48	51.64	1.0140	0.0352
♂	3.0000000	46.21	47.22	49.29	51.63	53.00	-1.7287	0.0348
♂	4.0000000	46.97	47.95	49.98	52.27	53.61	-1.7686	0.0336
♂	5.0000000	47.45	48.51	50.55	52.61	53.71	0.6329	0.0316
♀	0.0000000	31.69	32.58	34.53	36.96	38.52	-2.5037	0.0488
♀	0.0833333	33.05	33.99	36.02	38.51	40.08	-2.2254	0.0485
♀	0.1666667	34.36	35.34	37.46	40.01	41.58	-1.9463	0.0481
♀	0.2500000	35.58	36.61	38.81	41.39	42.96	-1.6665	0.0477
♀	0.3333333	36.68	37.76	40.03	42.64	44.20	-1.3871	0.0473
♀	0.4166667	37.67	38.79	41.11	43.75	45.30	-1.1098	0.0469
♀	0.5000000	38.52	39.68	42.06	44.71	46.24	-0.8365	0.0465
♀	0.5833333	39.24	40.44	42.87	45.53	47.04	-0.5689	0.0462
♀	0.6666667	39.86	41.09	43.55	46.21	47.70	-0.3078	0.0458
♀	0.7500000	40.38	41.64	44.13	46.78	48.25	-0.0548	0.0454
♀	0.8333333	40.82	42.10	44.61	47.25	48.69	0.1881	0.0450
♀	0.9166667	41.19	42.49	45.02	47.64	49.06	0.4194	0.0446
♀	1.0000000	41.50	42.83	45.37	47.97	49.36	0.6377	0.0442
♀	2.0000000	43.48	44.86	47.36	49.71	50.91	2.1015	0.0399
♀	3.0000000	44.81	46.07	48.37	50.57	51.71	1.8418	0.0363
♀	4.0000000	45.94	47.10	49.24	51.35	52.45	1.4111	0.0337
♀	5.0000000	46.83	47.91	49.93	51.93	52.97	1.3198	0.0314

PS_WFL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	55	3.10	3.43	4.17	5.11	5.70	-0.1601	0.1554
♂	56	3.31	3.67	4.48	5.48	6.09	-0.0349	0.1559
♂	57	3.53	3.93	4.81	5.86	6.50	0.0747	0.1559
♂	58	3.76	4.19	5.14	6.25	6.91	0.1689	0.1554
♂	59	3.99	4.46	5.47	6.63	7.32	0.2491	0.1545
♂	60	4.22	4.73	5.79	7.00	7.71	0.3165	0.1531
♂	61	4.45	4.99	6.10	7.36	8.08	0.3719	0.1515
♂	62	4.68	5.24	6.40	7.70	8.44	0.4153	0.1497
♂	63	4.91	5.49	6.69	8.03	8.79	0.4470	0.1477
♂	64	5.14	5.74	6.98	8.34	9.12	0.4674	0.1455
♂	65	5.36	5.98	7.25	8.64	9.43	0.4778	0.1433
♂	66	5.58	6.22	7.51	8.94	9.74	0.4803	0.1411
♂	67	5.81	6.45	7.77	9.22	10.04	0.4777	0.1389
♂	68	6.02	6.68	8.02	9.49	10.32	0.4730	0.1367
♂	69	6.24	6.90	8.26	9.76	10.60	0.4686	0.1346
♂	70	6.44	7.12	8.50	10.01	10.86	0.4641	0.1326
♂	71	6.65	7.33	8.73	10.26	11.12	0.4587	0.1307
♂	72	6.84	7.54	8.95	10.50	11.37	0.4525	0.1289
♂	73	7.04	7.74	9.17	10.73	11.61	0.4458	0.1273
♂	74	7.23	7.94	9.38	10.96	11.86	0.4386	0.1258
♂	75	7.42	8.13	9.59	11.19	12.10	0.4307	0.1244
♂	76	7.60	8.33	9.81	11.42	12.34	0.4217	0.1231
♂	77	7.79	8.52	10.01	11.65	12.58	0.4116	0.1219
♂	78	7.97	8.71	10.22	11.87	12.81	0.4004	0.1208
♂	79	8.15	8.90	10.42	12.10	13.05	0.3883	0.1197
♂	80	8.33	9.08	10.62	12.32	13.28	0.3750	0.1188
♂	81	8.50	9.26	10.82	12.54	13.51	0.3604	0.1180
♂	82	8.67	9.44	11.02	12.76	13.75	0.3437	0.1173
♂	83	8.84	9.62	11.22	12.98	13.99	0.3246	0.1167
♂	84	9.02	9.80	11.42	13.21	14.23	0.3025	0.1163
♂	85	9.19	9.98	11.61	13.43	14.48	0.2772	0.1159
♂	86	9.36	10.16	11.81	13.66	14.72	0.2486	0.1155
♂	87	9.53	10.34	12.01	13.89	14.98	0.2188	0.1152
♂	88	9.70	10.52	12.22	14.13	15.23	0.1896	0.1150
♂	89	9.88	10.70	12.42	14.36	15.49	0.1625	0.1148
♂	90	10.05	10.88	12.63	14.61	15.76	0.1376	0.1147
♂	91	10.22	11.07	12.84	14.85	16.03	0.1149	0.1147
♂	92	10.40	11.26	13.05	15.10	16.30	0.0938	0.1147
♂	93	10.58	11.44	13.27	15.36	16.58	0.0744	0.1147
♂	94	10.75	11.63	13.49	15.62	16.87	0.0567	0.1148
♂	95	10.93	11.83	13.71	15.88	17.16	0.0407	0.1149
♂	96	11.11	12.02	13.93	16.14	17.45	0.0256	0.1151
♂	97	11.30	12.22	14.16	16.41	17.74	0.0096	0.1152
♂	98	11.48	12.42	14.39	16.68	18.04	-0.0090	0.1153
♂	99	11.68	12.62	14.63	16.96	18.35	-0.0314	0.1154
♂	100	11.88	12.83	14.87	17.25	18.67	-0.0578	0.1154
♂	101	12.08	13.05	15.12	17.55	19.00	-0.0875	0.1155
♂	102	12.29	13.27	15.37	17.85	19.34	-0.1198	0.1156
♂	103	12.51	13.50	15.63	18.16	19.69	-0.1541	0.1157
♂	104	12.73	13.73	15.89	18.48	20.05	-0.1899	0.1159
♂	105	12.95	13.96	16.16	18.81	20.42	-0.2266	0.1161
♂	106	13.17	14.20	16.44	19.14	20.80	-0.2639	0.1164
♂	107	13.40	14.44	16.71	19.48	21.18	-0.3015	0.1167
♂	108	13.62	14.68	16.99	19.82	21.58	-0.3397	0.1171
♂	109	13.85	14.92	17.27	20.17	21.98	-0.3789	0.1175
♂	110	14.08	15.16	17.55	20.52	22.39	-0.4197	0.1180
♂	111	14.31	15.40	17.84	20.88	22.80	-0.4627	0.1185
♂	112	14.54	15.64	18.12	21.24	23.23	-0.5081	0.1190
♂	113	14.77	15.89	18.40	21.60	23.66	-0.5563	0.1196
♂	114	15.00	16.13	18.69	21.97	24.10	-0.6069	0.1201
♂	115	15.23	16.38	18.97	22.34	24.54	-0.6595	0.1207
♂	116	15.46	16.62	19.26	22.71	24.99	-0.7130	0.1213
♂	117	15.70	16.87	19.55	23.08	25.45	-0.7666	0.1218
♂	118	15.93	17.11	19.83	23.46	25.91	-0.8202	0.1224
♂	119	16.17	17.36	20.12	23.84	26.37	-0.8736	0.1230
♂	120	16.40	17.60	20.41	24.22	26.84	-0.9270	0.1235
♂	121	16.64	17.85	20.69	24.60	27.32	-0.9803	0.1241
♂	122	16.87	18.10	20.98	24.98	27.80	-1.0336	0.1246
♀	55	3.24	3.55	4.26	5.17	5.75	-0.2885	0.1463
♀	56	3.45	3.78	4.54	5.49	6.10	-0.2480	0.1453
♀	57	3.66	4.02	4.82	5.82	6.46	-0.2098	0.1443
♀	58	3.89	4.27	5.12	6.16	6.82	-0.1737	0.1433
♀	59	4.12	4.52	5.41	6.51	7.19	-0.1395	0.1422
♀	60	4.34	4.77	5.70	6.85	7.55	-0.1072	0.1412
♀	61	4.57	5.02	5.99	7.18	7.91	-0.0767	0.1401
♀	62	4.79	5.26	6.28	7.51	8.26	-0.0478	0.1390
♀	63	5.01	5.50	6.56	7.83	8.61	-0.0205	0.1379
♀	64	5.23	5.74	6.84	8.15	8.94	0.0052	0.1369
♀	65	5.44	5.97	7.10	8.45	9.26	0.0295	0.1358
♀	66	5.64	6.19	7.36	8.74	9.57	0.0523	0.1348
♀	67	5.84	6.41	7.61	9.03	9.87	0.0736	0.1337
♀	68	6.04	6.62	7.86	9.31	10.16	0.0933	0.1327
♀	69	6.23	6.83	8.10	9.57	10.45	0.1114	0.1318
♀	70	6.42	7.03	8.33	9.84	10.72	0.1281	0.1308
♀	71	6.60	7.23	8.56	10.09	10.99	0.1431	0.1299
♀	72	6.78	7.42	8.78	10.34	11.25	0.1566	0.1291
♀	73	6.96	7.61	8.99	10.58	11.51	0.1685	0.1282
♀	74	7.13	7.80	9.21	10.81	11.75	0.1789	0.1274
♀	75	7.30	7.98	9.41	11.04	12.00	0.1877	0.1267
♀	76	7.47	8.16	9.62	11.27	12.24	0.1950	0.1260
♀	77	7.63	8.34	9.82	11.50	12.48	0.2005	0.1253
♀	78	7.80	8.52	10.02	11.72	12.71	0.2043	0.1247
♀	79	7.96	8.69	10.22	11.95	12.95	0.2061	0.1241
♀	80	8.13	8.87	10.42	12.17	13.19	0.2059	0.1235
♀	81	8.29	9.04	10.61	12.40	13.43	0.2036	0.1230
♀	82	8.46	9.22	10.81	12.62	13.67	0.1990	0.1225
♀	83	8.62	9.40	11.01	12.85	13.92	0.1921	0.1220
♀	84	8.79	9.57	11.21	13.08	14.16	0.1827	0.1216
♀	85	8.96	9.75	11.42	13.31	14.41	0.1707	0.1212
♀	86	9.13	9.93	11.62	13.54	14.66	0.1559	0.1208
♀	87	9.30	10.11	11.82	13.77	14.91	0.1383	0.1205
♀	88	9.47	10.29	12.03	14.01	15.17	0.1177	0.1202
♀	89	9.64	10.48	12.23	14.25	15.43	0.0942	0.1199
♀	90	9.82	10.66	12.44	14.49	15.70	0.0682	0.1196
♀	91	10.00	10.85	12.65	14.74	15.97	0.0396	0.1194
♀	92	10.18	11.04	12.86	14.99	16.25	0.0087	0.1192
♀	93	10.37	11.23	13.08	15.24	16.53	-0.0244	0.1190
♀	94	10.56	11.43	13.30	15.50	16.82	-0.0595	0.1188
♀	95	10.75	11.63	13.53	15.77	17.11	-0.0967	0.1187
♀	96	10.94	11.83	13.75	16.04	17.42	-0.1357	0.1186
♀	97	11.14	12.04	13.99	16.31	17.73	-0.1766	0.1185
♀	98	11.34	12.25	14.22	16.60	18.05	-0.2193	0.1185
♀	99	11.55	12.47	14.47	16.89	18.38	-0.2638	0.1184
♀	100	11.76	12.68	14.71	17.19	18.72	-0.3099	0.1184
♀	101	11.97	12.91	14.96	17.49	19.07	-0.3576	0.1185
♀	102	12.19	13.13	15.22	17.80	19.42	-0.4068	0.1185
♀	103	12.41	13.36	15.47	18.11	19.78	-0.4574	0.1186
♀	104	12.63	13.59	15.73	18.43	20.15	-0.5090	0.1187
♀	105	12.85	13.82	15.99	18.75	20.53	-0.5618	0.1188
♀	106	13.07	14.05	16.26	19.08	20.91	-0.6154	0.1189
♀	107	13.30	14.29	16.52	19.40	21.29	-0.6698	0.1191
♀	108	13.52	14.52	16.78	19.73	21.68	-0.7247	0.1192
♀	109	13.75	14.75	17.05	20.06	22.07	-0.7801	0.1194
♀	110	13.98	14.99	17.31	20.40	22.47	-0.8359	0.1196
♀	111	14.20	15.22	17.58	20.73	22.87	-0.8919	0.1198
♀	112	14.43	15.46	17.84	21.07	23.28	-0.9481	0.1200
♀	113	14.65	15.69	18.11	21.41	23.69	-1.0044	0.1202
♀	114	14.88	15.92	18.37	21.75	24.11	-1.0608	0.1205
♀	115	15.11	16.16	18.64	22.09	24.53	-1.1173	0.1207
♀	116	15.34	16.39	18.90	22.43	24.96	-1.1738	0.1209
♀	117	15.56	16.63	19.17	22.77	25.39	-1.2304	0.1212
♀	118	15.79	16.86	19.43	23.12	25.82	-1.2870	0.1215
♀	119	16.02	17.10	19.70	23.47	26.27	-1.3436	0.1217
♀	120	16.25	17.34	19.97	23.82	26.71	-1.4003	0.1220
♀	121	16.47	17.57	20.23	24.17	27.17	-1.4570	0.1222
♀	122	16.70	17.81	20.50	24.53	27.63	-1.5138	0.1225
♀	123	16.93	18.04	20.77	24.88	28.10	-1.5705	0.1228

By Category

Category: anthro

aga_15.ref

Citations

• Kromeyer-Hauschild K, Moss A, Wabitsch M. Referenzwerte für den Body-Mass-Index für Kinder, Jugendliche und Erwachsene in Deutschland. Adipositas - Ursachen, Folgeerkrankungen, Therapie. 2015;09(3):123–7.

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.000	10.08	11.00	12.68	14.29	15.12	1.306	0.101
♂	0.083	12.25	13.06	14.70	16.53	17.58	0.114	0.092
♂	0.167	12.99	13.79	15.46	17.37	18.49	-0.149	0.090
♂	0.250	13.51	14.31	15.98	17.93	19.09	-0.326	0.088
♂	0.333	13.88	14.66	16.33	18.28	19.46	-0.462	0.086
♂	0.417	14.11	14.88	16.54	18.51	19.71	-0.571	0.085
♂	0.500	14.28	15.05	16.70	18.67	19.88	-0.667	0.084
♂	0.583	14.40	15.15	16.79	18.76	19.97	-0.749	0.083
♂	0.667	14.48	15.22	16.84	18.79	20.00	-0.822	0.082
♂	0.750	14.50	15.24	16.85	18.81	20.04	-0.886	0.082
♂	0.833	14.53	15.26	16.85	18.80	20.01	-0.947	0.081
♂	0.917	14.52	15.24	16.83	18.78	20.00	-1.001	0.081
♂	1.000	14.50	15.22	16.79	18.74	19.98	-1.051	0.081
♂	2.000	13.92	14.58	16.08	18.02	19.31	-1.453	0.082
♂	3.000	13.48	14.13	15.62	17.61	18.99	-1.672	0.085
♂	4.000	13.30	13.94	15.45	17.53	19.00	-1.804	0.088
♂	5.000	13.16	13.83	15.40	17.62	19.25	-1.881	0.093
♂	6.000	13.10	13.79	15.45	17.86	19.69	-1.918	0.099
♂	7.000	13.15	13.88	15.66	18.33	20.42	-1.923	0.106
♂	8.000	13.29	14.07	16.01	19.00	21.41	-1.906	0.114
♂	9.000	13.46	14.30	16.42	19.80	22.63	-1.872	0.123
♂	10.000	13.70	14.60	16.89	20.60	23.80	-1.827	0.130
♂	11.000	14.00	14.96	17.41	21.45	24.98	-1.774	0.136
♂	12.000	14.39	15.40	17.99	22.26	25.98	-1.719	0.139
♂	13.000	14.87	15.93	18.62	22.99	26.76	-1.663	0.139
♂	14.000	15.38	16.48	19.26	23.71	27.46	-1.606	0.138
♂	15.000	15.91	17.04	19.89	24.37	28.05	-1.550	0.136
♂	16.000	16.44	17.60	20.48	24.94	28.50	-1.495	0.133
♂	17.000	16.94	18.12	21.04	25.46	28.90	-1.440	0.130
♂	18.000	17.48	18.68	21.64	26.10	29.58	-1.458	0.128
♂	19.000	17.86	19.10	22.14	26.68	30.15	-1.393	0.128
♂	20.000	18.21	19.50	22.61	27.21	30.69	-1.331	0.128
♂	21.000	18.52	19.84	23.06	27.76	31.28	-1.272	0.129
♂	22.000	18.82	20.18	23.46	28.21	31.73	-1.216	0.129
♂	23.000	19.08	20.47	23.82	28.62	32.13	-1.161	0.129
♂	24.000	19.28	20.71	24.13	29.02	32.56	-1.110	0.130
♂	25.000	19.49	20.94	24.41	29.33	32.86	-1.060	0.130
♂	26.000	19.66	21.14	24.66	29.60	33.11	-1.013	0.130
♂	27.000	19.78	21.29	24.88	29.88	33.42	-0.969	0.131
♂	28.000	19.91	21.45	25.07	30.09	33.61	-0.928	0.131
♂	29.000	20.00	21.56	25.24	30.32	33.87	-0.891	0.132
♂	30.000	20.10	21.68	25.39	30.48	34.02	-0.858	0.132
♂	31.000	20.19	21.78	25.52	30.62	34.14	-0.829	0.132
♂	32.000	20.24	21.85	25.64	30.80	34.35	-0.803	0.133
♂	33.000	20.32	21.95	25.76	30.93	34.48	-0.781	0.133
♂	34.000	20.41	22.05	25.88	31.07	34.61	-0.762	0.133
♂	35.000	20.49	22.15	26.00	31.20	34.75	-0.746	0.133
♂	36.000	20.57	22.24	26.12	31.33	34.88	-0.731	0.133
♂	37.000	20.62	22.31	26.23	31.51	35.10	-0.719	0.134
♂	38.000	20.71	22.41	26.35	31.64	35.24	-0.708	0.134
♂	39.000	20.80	22.51	26.47	31.78	35.38	-0.699	0.134
♂	40.000	20.89	22.61	26.59	31.93	35.53	-0.690	0.134
♂	41.000	20.99	22.71	26.72	32.07	35.69	-0.682	0.134
♂	42.000	21.08	22.82	26.84	32.22	35.84	-0.674	0.134
♂	43.000	21.17	22.92	26.96	32.36	35.99	-0.665	0.134
♂	44.000	21.29	23.04	27.08	32.44	36.04	-0.655	0.133
♂	45.000	21.37	23.13	27.19	32.57	36.17	-0.645	0.133
♂	46.000	21.44	23.21	27.29	32.69	36.29	-0.636	0.133
♂	47.000	21.51	23.29	27.38	32.79	36.40	-0.626	0.133
♂	48.000	21.56	23.35	27.46	32.88	36.48	-0.616	0.133
♂	49.000	21.64	23.43	27.52	32.90	36.47	-0.608	0.132
♂	50.000	21.67	23.47	27.57	32.95	36.52	-0.599	0.132
♂	51.000	21.70	23.49	27.60	32.99	36.55	-0.592	0.132
♂	52.000	21.76	23.55	27.64	32.98	36.50	-0.586	0.131
♂	53.000	21.79	23.58	27.68	33.02	36.55	-0.581	0.131
♂	54.000	21.82	23.62	27.72	33.07	36.60	-0.578	0.131
♂	55.000	21.89	23.68	27.76	33.07	36.57	-0.575	0.130
♂	56.000	21.91	23.71	27.80	33.12	36.61	-0.573	0.130
♂	57.000	21.98	23.76	27.83	33.11	36.57	-0.572	0.129
♂	58.000	22.00	23.79	27.86	33.14	36.60	-0.570	0.129
♂	59.000	22.01	23.80	27.87	33.16	36.62	-0.569	0.129
♂	60.000	22.06	23.84	27.89	33.12	36.55	-0.568	0.128
♂	61.000	22.06	23.85	27.90	33.14	36.56	-0.567	0.128
♂	62.000	22.07	23.85	27.90	33.15	36.57	-0.567	0.128
♂	63.000	22.11	23.88	27.91	33.10	36.49	-0.567	0.127
♂	64.000	22.11	23.88	27.90	33.10	36.49	-0.569	0.127
♂	65.000	22.13	23.89	27.88	33.03	36.39	-0.572	0.126
♂	66.000	22.12	23.87	27.86	33.00	36.36	-0.578	0.126
♂	67.000	22.13	23.87	27.82	32.92	36.24	-0.585	0.125
♂	68.000	22.10	23.84	27.78	32.88	36.21	-0.595	0.125
♂	69.000	22.12	23.84	27.75	32.79	36.09	-0.607	0.124
♂	70.000	22.13	23.84	27.71	32.71	35.97	-0.620	0.123
♂	71.000	22.11	23.81	27.67	32.67	35.94	-0.636	0.123
♂	72.000	22.12	23.81	27.63	32.58	35.83	-0.652	0.122
♂	73.000	22.14	23.80	27.59	32.49	35.71	-0.670	0.121
♂	74.000	22.14	23.79	27.54	32.40	35.59	-0.688	0.120
♂	75.000	22.15	23.78	27.49	32.30	35.46	-0.706	0.119
♂	76.000	22.11	23.74	27.43	32.24	35.42	-0.725	0.119
♂	77.000	22.11	23.72	27.38	32.14	35.28	-0.743	0.118
♂	78.000	22.11	23.70	27.32	32.03	35.15	-0.762	0.117
♂	79.000	22.11	23.68	27.25	31.92	35.01	-0.781	0.116
♀	0.000	10.10	10.98	12.58	14.12	14.91	1.339	0.097
♀	0.083	11.90	12.71	14.29	15.94	16.83	0.664	0.088
♀	0.167	12.53	13.34	14.94	16.63	17.57	0.452	0.086
♀	0.250	13.02	13.82	15.41	17.14	18.10	0.295	0.084
♀	0.333	13.35	14.15	15.75	17.50	18.49	0.169	0.083
♀	0.417	13.61	14.39	15.99	17.76	18.76	0.062	0.082
♀	0.500	13.77	14.55	16.16	17.95	18.99	-0.032	0.082
♀	0.583	13.90	14.68	16.27	18.06	19.10	-0.116	0.081
♀	0.667	13.96	14.73	16.33	18.13	19.18	-0.189	0.081
♀	0.750	14.02	14.79	16.38	18.20	19.27	-0.261	0.081
♀	0.833	14.05	14.81	16.41	18.23	19.31	-0.327	0.081
♀	0.917	14.07	14.82	16.41	18.24	19.33	-0.387	0.081
♀	1.000	14.07	14.82	16.40	18.24	19.33	-0.443	0.081
♀	2.000	13.60	14.33	15.94	17.92	19.18	-0.915	0.087
♀	3.000	13.22	13.94	15.54	17.62	18.99	-1.194	0.091
♀	4.000	12.97	13.69	15.33	17.55	19.07	-1.382	0.096
♀	5.000	12.89	13.61	15.32	17.69	19.39	-1.524	0.101
♀	6.000	12.83	13.59	15.39	18.01	19.95	-1.620	0.108
♀	7.000	12.90	13.69	15.62	18.50	20.72	-1.658	0.115
♀	8.000	13.06	13.92	16.03	19.27	21.85	-1.638	0.124
♀	9.000	13.28	14.20	16.48	20.03	22.90	-1.580	0.131
♀	10.000	13.50	14.48	16.94	20.81	23.97	-1.505	0.138
♀	11.000	13.84	14.88	17.50	21.60	24.95	-1.428	0.142
♀	12.000	14.32	15.42	18.19	22.49	25.96	-1.358	0.144
♀	13.000	14.91	16.06	18.93	23.34	26.83	-1.299	0.143
♀	14.000	15.51	16.71	19.64	24.07	27.48	-1.249	0.140
♀	15.000	16.05	17.27	20.22	24.60	27.92	-1.221	0.136
♀	16.000	16.61	17.82	20.76	25.13	28.46	-1.300	0.132
♀	17.000	17.10	18.31	21.30	25.78	29.25	-1.387	0.131
♀	18.000	17.40	18.63	21.69	26.40	30.16	-1.487	0.133
♀	19.000	17.58	18.83	21.95	26.84	30.85	-1.548	0.135
♀	20.000	17.75	19.01	22.19	27.27	31.53	-1.606	0.137
♀	21.000	17.91	19.18	22.39	27.61	32.06	-1.658	0.138
♀	22.000	18.01	19.29	22.56	27.95	32.66	-1.705	0.140
♀	23.000	18.08	19.37	22.69	28.24	33.20	-1.743	0.142
♀	24.000	18.13	19.43	22.79	28.50	33.70	-1.773	0.144
♀	25.000	18.18	19.48	22.87	28.67	34.02	-1.794	0.145
♀	26.000	18.18	19.50	22.93	28.86	34.42	-1.805	0.147
♀	27.000	18.20	19.52	22.98	28.98	34.65	-1.809	0.148
♀	28.000	18.19	19.52	23.03	29.16	34.99	-1.805	0.150
♀	29.000	18.21	19.56	23.09	29.28	35.20	-1.795	0.151
♀	30.000	18.24	19.60	23.17	29.43	35.40	-1.780	0.152
♀	31.000	18.29	19.66	23.27	29.60	35.63	-1.761	0.153
♀	32.000	18.36	19.74	23.40	29.79	35.87	-1.738	0.154
♀	33.000	18.43	19.84	23.54	30.01	36.13	-1.712	0.155
♀	34.000	18.52	19.94	23.70	30.23	36.39	-1.683	0.156
♀	35.000	18.61	20.06	23.86	30.47	36.66	-1.653	0.157
♀	36.000	18.70	20.17	24.03	30.71	36.93	-1.621	0.158
♀	37.000	18.78	20.27	24.19	30.94	37.17	-1.586	0.159
♀	38.000	18.85	20.37	24.34	31.14	37.37	-1.546	0.160
♀	39.000	18.91	20.45	24.48	31.33	37.54	-1.502	0.161
♀	40.000	18.93	20.51	24.61	31.57	37.82	-1.454	0.163
♀	41.000	18.99	20.59	24.75	31.75	37.95	-1.402	0.164
♀	42.000	19.04	20.68	24.90	31.94	38.08	-1.348	0.165
♀	43.000	19.08	20.75	25.07	32.21	38.37	-1.293	0.167
♀	44.000	19.16	20.86	25.25	32.43	38.54	-1.237	0.168
♀	45.000	19.23	20.98	25.44	32.67	38.73	-1.183	0.169
♀	46.000	19.29	21.07	25.63	32.97	39.05	-1.130	0.171
♀	47.000	19.36	21.18	25.82	33.20	39.25	-1.078	0.172
♀	48.000	19.43	21.29	25.99	33.43	39.44	-1.028	0.173
♀	49.000	19.49	21.38	26.16	33.64	39.61	-0.980	0.174
♀	50.000	19.54	21.47	26.31	33.84	39.78	-0.932	0.175
♀	51.000	19.62	21.57	26.47	33.99	39.84	-0.884	0.175
♀	52.000	19.67	21.66	26.63	34.19	40.01	-0.836	0.176
♀	53.000	19.75	21.77	26.79	34.34	40.07	-0.787	0.176
♀	54.000	19.83	21.88	26.96	34.50	40.14	-0.738	0.176
♀	55.000	19.91	22.00	27.13	34.66	40.22	-0.687	0.176
♀	56.000	19.99	22.12	27.31	34.84	40.31	-0.638	0.176
♀	57.000	20.08	22.24	27.49	35.02	40.43	-0.591	0.176
♀	58.000	20.17	22.37	27.67	35.20	40.55	-0.547	0.176
♀	59.000	20.26	22.49	27.85	35.38	40.68	-0.505	0.176
♀	60.000	20.37	22.62	28.01	35.49	40.69	-0.463	0.175
♀	61.000	20.43	22.72	28.14	35.62	40.76	-0.421	0.175
♀	62.000	20.50	22.81	28.26	35.67	40.71	-0.377	0.174
♀	63.000	20.53	22.87	28.36	35.75	40.73	-0.332	0.174
♀	64.000	20.57	22.94	28.44	35.76	40.62	-0.284	0.173
♀	65.000	20.60	22.99	28.50	35.74	40.49	-0.233	0.172
♀	66.000	20.61	23.02	28.54	35.68	40.32	-0.179	0.171
♀	67.000	20.59	23.02	28.54	35.59	40.11	-0.122	0.170
♀	68.000	20.55	23.00	28.52	35.47	39.86	-0.061	0.169
♀	69.000	20.53	22.99	28.48	35.28	39.51	0.001	0.167
♀	70.000	20.46	22.94	28.42	35.11	39.21	0.066	0.166
♀	71.000	20.37	22.87	28.35	34.92	38.91	0.132	0.165
♀	72.000	20.32	22.84	28.27	34.69	38.53	0.199	0.163
♀	73.000	20.23	22.76	28.18	34.50	38.23	0.267	0.162
♀	74.000	20.18	22.72	28.10	34.27	37.86	0.337	0.160
♀	75.000	20.08	22.66	28.03	34.09	37.58	0.408	0.159
♀	76.000	19.99	22.59	27.95	33.91	37.31	0.480	0.158
♀	77.000	19.94	22.55	27.87	33.69	36.97	0.553	0.156
♀	78.000	19.84	22.47	27.79	33.51	36.69	0.627	0.155
♀	79.000	19.73	22.40	27.70	33.32	36.42	0.700	0.154

belgium.ref

Citations

• Roelants M, Hauspie R, Hoppenbrouwers K. References for growth and pubertal development from birth to 21 years in Flanders, Belgium. Annals of Human Biology. 2009 Dezember;36(6):680–94.

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	14.01	14.67	16.1	17.88	19.02	-1.2	0.077
♀	3	13.80	14.42	15.8	17.54	18.67	-1.4	0.076
♀	4	13.58	14.20	15.6	17.42	18.64	-1.6	0.079
♀	5	13.29	13.93	15.4	17.41	18.83	-1.8	0.086
♀	6	13.09	13.77	15.4	17.75	19.50	-1.9	0.097
♀	7	12.94	13.68	15.5	18.26	20.45	-1.9	0.110
♀	8	13.06	13.87	15.9	19.14	21.87	-1.9	0.122
♀	9	13.27	14.15	16.4	20.15	23.50	-1.9	0.133
♀	10	13.46	14.42	16.9	21.01	24.64	-1.7	0.142
♀	11	13.81	14.84	17.5	21.90	25.75	-1.6	0.147
♀	12	14.21	15.30	18.1	22.67	26.58	-1.5	0.149
♀	13	14.78	15.91	18.8	23.50	27.51	-1.5	0.148
♀	14	15.39	16.56	19.5	24.10	27.83	-1.4	0.143
♀	15	16.04	17.23	20.2	24.79	28.47	-1.4	0.139
♀	16	16.62	17.82	20.8	25.46	29.23	-1.5	0.136
♀	17	16.89	18.09	21.1	25.78	29.56	-1.5	0.135
♀	18	17.12	18.33	21.4	26.30	30.40	-1.6	0.137
♀	19	17.16	18.38	21.5	26.63	31.11	-1.7	0.140
♀	20	17.31	18.52	21.7	27.23	32.49	-1.9	0.144
♀	21	17.34	18.56	21.8	27.66	33.57	-2.0	0.148
♂	2	14.44	15.04	16.4	18.17	19.35	-1.8	0.073
♂	3	13.97	14.56	15.9	17.68	18.89	-1.9	0.075
♂	4	13.65	14.24	15.6	17.44	18.72	-2.0	0.078
♂	5	13.51	14.10	15.5	17.47	18.90	-2.2	0.082
♂	6	13.32	13.93	15.4	17.55	19.18	-2.3	0.088
♂	7	13.27	13.92	15.5	17.93	19.91	-2.4	0.096
♂	8	13.38	14.07	15.8	18.55	20.90	-2.4	0.104
♂	9	13.48	14.22	16.1	19.23	22.07	-2.4	0.113
♂	10	13.74	14.54	16.6	20.19	23.65	-2.4	0.122
♂	11	13.95	14.79	17.0	20.97	25.00	-2.4	0.129
♂	12	14.37	15.26	17.6	21.89	26.37	-2.4	0.133
♂	13	14.80	15.73	18.2	22.68	27.26	-2.3	0.135
♂	14	15.26	16.24	18.8	23.36	27.89	-2.2	0.135
♂	15	15.89	16.89	19.5	24.09	28.55	-2.2	0.132
♂	16	16.43	17.46	20.1	24.57	28.69	-2.1	0.128
♂	17	16.90	17.94	20.6	24.94	28.73	-2.0	0.124
♂	18	17.32	18.36	21.0	25.24	28.85	-2.0	0.120
♂	19	17.67	18.74	21.4	25.58	29.02	-1.9	0.118
♂	20	17.91	19.00	21.7	25.84	29.17	-1.8	0.117
♂	21	18.07	19.18	21.9	25.99	29.19	-1.7	0.116

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.0000000	46.08	47.44	50.0	52.56	53.92	1	0.0400
♀	0.0833333	50.31	51.55	53.9	56.25	57.49	1	0.0340
♀	0.2500000	55.63	57.00	59.6	62.20	63.57	1	0.0340
♀	0.5000000	62.11	63.59	66.4	69.21	70.69	1	0.0330
♀	0.7500000	66.31	67.90	70.9	73.90	75.49	1	0.0330
♀	1.0000000	69.87	71.54	74.7	77.86	79.53	1	0.0330
♀	2.0000000	80.76	82.85	86.8	90.75	92.84	1	0.0355
♀	3.0000000	88.20	90.66	95.3	99.94	102.40	1	0.0380
♀	4.0000000	94.37	97.15	102.4	107.65	110.43	1	0.0400
♀	5.0000000	100.70	103.75	109.5	115.25	118.30	1	0.0410
♀	6.0000000	106.82	110.13	116.4	122.67	125.98	1	0.0420
♀	7.0000000	112.63	116.22	123.0	129.78	133.37	1	0.0430
♀	8.0000000	117.88	121.73	129.0	136.27	140.12	1	0.0440
♀	9.0000000	122.72	126.73	134.3	141.87	145.88	1	0.0440
♀	10.0000000	127.29	131.65	139.9	148.15	152.51	1	0.0460
♀	11.0000000	133.10	137.77	146.6	155.43	160.10	1	0.0470
♀	12.0000000	139.39	144.17	153.2	162.23	167.01	1	0.0460
♀	13.0000000	145.33	149.95	158.7	167.45	172.07	1	0.0430
♀	14.0000000	149.67	154.08	162.4	170.72	175.13	1	0.0400
♀	15.0000000	152.43	156.68	164.7	172.72	176.97	1	0.0380
♀	16.0000000	154.10	158.15	165.8	173.45	177.50	1	0.0360
♀	17.0000000	154.47	158.53	166.2	173.87	177.93	1	0.0360
♀	18.0000000	154.57	158.63	166.3	173.97	178.03	1	0.0360
♀	19.0000000	154.66	158.72	166.4	174.08	178.14	1	0.0360
♀	20.0000000	154.75	158.82	166.5	174.18	178.25	1	0.0360
♀	21.0000000	154.84	158.91	166.6	174.29	178.36	1	0.0360
♂	0.0000000	46.73	48.10	50.7	53.30	54.67	1	0.0400
♂	0.0833333	51.31	52.65	55.2	57.75	59.09	1	0.0360
♂	0.2500000	56.82	58.26	61.0	63.74	65.18	1	0.0350
♂	0.5000000	63.51	65.03	67.9	70.77	72.29	1	0.0330
♂	0.7500000	67.90	69.53	72.6	75.67	77.30	1	0.0330
♂	1.0000000	71.51	73.17	76.3	79.43	81.09	1	0.0320
♂	2.0000000	81.87	83.96	87.9	91.84	93.93	1	0.0350
♂	3.0000000	89.32	91.73	96.3	100.87	103.28	1	0.0370
♂	4.0000000	95.59	98.33	103.5	108.67	111.41	1	0.0390
♂	5.0000000	101.44	104.50	110.3	116.10	119.16	1	0.0410
♂	6.0000000	107.55	110.89	117.2	123.51	126.85	1	0.0420
♂	7.0000000	113.61	117.14	123.8	130.46	133.99	1	0.0420
♂	8.0000000	119.21	122.91	129.9	136.89	140.59	1	0.0420
♂	9.0000000	123.99	127.94	135.4	142.86	146.81	1	0.0430
♂	10.0000000	128.66	132.76	140.5	148.24	152.34	1	0.0430
♂	11.0000000	133.23	137.58	145.8	154.02	158.37	1	0.0440
♂	12.0000000	138.30	143.04	152.0	160.96	165.70	1	0.0460
♂	13.0000000	143.86	149.03	158.8	168.57	173.74	1	0.0480
♂	14.0000000	150.71	156.00	166.0	176.00	181.29	1	0.0470
♂	15.0000000	157.08	162.21	171.9	181.59	186.72	1	0.0440
♂	16.0000000	161.67	166.56	175.8	185.04	189.93	1	0.0410
♂	17.0000000	164.49	169.20	178.1	187.00	191.71	1	0.0390
♂	18.0000000	166.04	170.66	179.4	188.14	192.76	1	0.0380
♂	19.0000000	166.78	171.42	180.2	188.98	193.62	1	0.0380
♂	20.0000000	167.69	172.23	180.8	189.37	193.91	1	0.0370
♂	21.0000000	167.87	172.42	181.0	189.58	194.13	1	0.0370

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.0000000	2.51	2.77	3.3	3.87	4.19	0.5	0.130
♀	0.0833333	3.41	3.67	4.2	4.82	5.19	-0.1	0.107
♀	0.2500000	4.55	4.89	5.6	6.43	6.92	-0.1	0.107
♀	0.5000000	5.96	6.38	7.3	8.38	9.03	-0.2	0.106
♀	0.7500000	6.87	7.35	8.4	9.65	10.41	-0.3	0.106
♀	1.0000000	7.60	8.14	9.3	10.68	11.53	-0.3	0.106
♀	2.0000000	9.86	10.56	12.1	13.97	15.13	-0.4	0.109
♀	3.0000000	11.55	12.40	14.3	16.67	18.16	-0.5	0.115
♀	4.0000000	13.04	14.04	16.3	19.21	21.10	-0.6	0.122
♀	5.0000000	14.58	15.77	18.5	22.15	24.61	-0.7	0.132
♀	6.0000000	16.05	17.43	20.7	25.27	28.50	-0.8	0.144
♀	7.0000000	17.83	19.45	23.4	29.22	33.55	-0.9	0.157
♀	8.0000000	19.91	21.82	26.6	33.85	39.42	-0.9	0.169
♀	9.0000000	21.94	24.16	29.8	38.59	45.56	-0.9	0.180
♀	10.0000000	24.08	26.66	33.3	43.98	52.72	-0.9	0.192
♀	11.0000000	26.55	29.61	37.5	50.20	60.54	-0.8	0.203
♀	12.0000000	29.69	33.24	42.3	56.55	67.80	-0.7	0.205
♀	13.0000000	33.62	37.45	47.1	61.89	73.29	-0.7	0.194
♀	14.0000000	38.19	41.98	51.5	66.16	77.62	-0.9	0.175
♀	15.0000000	41.67	45.46	54.9	69.28	80.44	-1.0	0.162
♀	16.0000000	44.15	47.87	57.2	71.77	83.46	-1.2	0.155
♀	17.0000000	45.41	49.12	58.5	73.36	85.55	-1.3	0.153
♀	18.0000000	46.02	49.76	59.2	74.11	86.29	-1.3	0.152
♀	19.0000000	46.40	50.15	59.6	74.48	86.60	-1.3	0.151
♀	20.0000000	46.76	50.47	59.9	75.07	87.78	-1.4	0.151
♀	21.0000000	46.84	50.56	60.0	75.19	87.93	-1.4	0.151
♂	0.0000000	2.62	2.92	3.5	4.11	4.45	0.7	0.133
♂	0.0833333	3.57	3.88	4.5	5.14	5.49	0.7	0.109
♂	0.2500000	4.88	5.28	6.1	6.97	7.46	0.5	0.108
♂	0.5000000	6.37	6.88	7.9	9.03	9.66	0.3	0.106
♂	0.7500000	7.39	7.95	9.1	10.40	11.16	0.1	0.105
♂	1.0000000	8.14	8.74	10.0	11.44	12.29	0.0	0.105
♂	2.0000000	10.30	11.03	12.6	14.47	15.61	-0.3	0.106
♂	3.0000000	12.06	12.91	14.8	17.17	18.69	-0.6	0.111
♂	4.0000000	13.58	14.57	16.8	19.68	21.57	-0.7	0.117
♂	5.0000000	15.07	16.19	18.8	22.35	24.79	-0.9	0.125
♂	6.0000000	16.75	18.03	21.1	25.52	28.77	-1.1	0.134
♂	7.0000000	18.51	19.98	23.6	29.07	33.31	-1.2	0.144
♂	8.0000000	20.54	22.23	26.5	33.29	38.88	-1.3	0.154
♂	9.0000000	22.60	24.56	29.6	37.90	45.03	-1.3	0.165
♂	10.0000000	24.78	27.02	32.9	42.89	51.81	-1.3	0.175
♂	11.0000000	27.01	29.60	36.4	47.94	58.18	-1.2	0.183
♂	12.0000000	29.69	32.78	40.8	54.02	65.21	-1.0	0.191
♂	13.0000000	32.70	36.50	46.1	60.96	72.50	-0.7	0.198
♂	14.0000000	36.82	41.34	52.5	68.87	80.82	-0.5	0.198
♂	15.0000000	42.06	46.86	58.5	75.07	86.86	-0.5	0.183
♂	16.0000000	46.92	51.56	62.8	78.95	90.62	-0.7	0.165
♂	17.0000000	50.37	54.93	65.9	81.57	92.85	-0.8	0.153
♂	18.0000000	52.71	57.20	68.0	83.46	94.67	-0.9	0.146
♂	19.0000000	54.21	58.74	69.6	85.03	96.13	-0.9	0.143
♂	20.0000000	55.31	59.81	70.7	86.43	97.97	-1.0	0.142
♂	21.0000000	56.02	60.56	71.5	87.27	98.81	-1.0	0.141

cdc.ref

Citations

• Flegal, Katherine M., and T. J. Cole. Construction of LMS Parameters for the Centers for Disease Control and Prevention 2000 Growth Charts. Hational health statitics reports 63.

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	2	14.45	15.09	16.58	18.61	20.04	-2.0112	0.0806
♂	20	18.57	19.82	23.02	28.33	33.03	-1.8423	0.1345
♀	2	14.07	14.80	16.42	18.44	19.72	-0.9866	0.0855
♀	20	17.30	18.48	21.71	28.13	35.68	-2.3450	0.1530

HEIGHT0_3

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	44.71	46.55	49.99	53.36	55.12	1.2670	0.0531
♂	0.0416667	47.78	49.46	52.70	56.03	57.84	0.5112	0.0487
♂	0.1250000	52.02	53.55	56.63	59.97	61.85	-0.4522	0.0441
♂	0.2083333	55.09	56.58	59.61	62.98	64.93	-0.9906	0.0418
♂	0.2916667	57.56	59.04	62.08	65.50	67.49	-1.2858	0.0405
♂	0.3750000	59.66	61.14	64.22	67.69	69.73	-1.4303	0.0396
♂	0.4583333	61.49	63.00	66.13	69.66	71.73	-1.4766	0.0391
♂	0.5416667	63.14	64.68	67.86	71.46	73.56	-1.4568	0.0388
♂	0.6250000	64.63	66.21	69.46	73.12	75.25	-1.3919	0.0386
♂	0.7083333	66.01	67.63	70.95	74.66	76.82	-1.2957	0.0385
♂	0.7916667	67.30	68.96	72.35	76.12	78.30	-1.1779	0.0385
♂	0.8750000	68.50	70.20	73.67	77.50	79.70	-1.0453	0.0386
♂	0.9583333	69.63	71.38	74.92	78.81	81.03	-0.9028	0.0386
♀	0.0000000	44.94	46.34	49.29	52.70	54.74	-1.2960	0.0501
♀	0.0416667	47.31	48.74	51.68	54.96	56.85	-0.8092	0.0468
♀	0.1250000	50.78	52.30	55.29	58.46	60.21	-0.0508	0.0434
♀	0.2083333	53.45	55.03	58.09	61.24	62.95	0.4769	0.0417
♀	0.2916667	55.67	57.32	60.46	63.63	65.31	0.8433	0.0407
♀	0.3750000	57.60	59.32	62.54	65.74	67.43	1.0976	0.0401
♀	0.4583333	59.34	61.11	64.41	67.66	69.37	1.2725	0.0397
♀	0.5416667	60.93	62.74	66.12	69.43	71.16	1.3904	0.0394
♀	0.6250000	62.39	64.25	67.71	71.08	72.83	1.4667	0.0393
♀	0.7083333	63.76	65.67	69.19	72.63	74.41	1.5123	0.0392
♀	0.7916667	65.05	66.99	70.59	74.09	75.91	1.5350	0.0392
♀	0.8750000	66.27	68.25	71.92	75.49	77.34	1.5404	0.0392
♀	0.9583333	67.43	69.45	73.19	76.82	78.71	1.5329	0.0393

HEIGHT2_20

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	2	79.64	81.99	86.45	90.93	93.30	0.9415	0.0403
♂	20	162.76	167.66	176.85	185.96	190.75	1.1673	0.0404
♀	2	78.16	80.52	84.98	89.41	91.75	1.0724	0.0408
♀	20	150.59	155.02	163.34	171.61	175.98	1.1080	0.0396

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	2.30	2.77	3.53	4.17	4.48	1.8152	0.1524
♂	0.0416667	2.74	3.21	4.00	4.72	5.07	1.5475	0.1460
♂	0.1250000	3.56	4.02	4.88	5.73	6.17	1.0688	0.1365
♂	0.2083333	4.29	4.75	5.67	6.64	7.17	0.6960	0.1297
♂	0.2916667	4.94	5.42	6.39	7.46	8.07	0.4198	0.1247
♂	0.3750000	5.52	6.01	7.04	8.20	8.87	0.2199	0.1210
♂	0.4583333	6.04	6.55	7.63	8.87	9.60	0.0775	0.1183
♂	0.5416667	6.50	7.04	8.16	9.48	10.26	-0.0219	0.1162
♂	0.6250000	6.92	7.47	8.64	10.02	10.84	-0.0894	0.1145
♂	0.7083333	7.30	7.87	9.08	10.51	11.38	-0.1334	0.1132
♂	0.7916667	7.63	8.22	9.48	10.96	11.85	-0.1601	0.1122
♂	0.8750000	7.94	8.54	9.84	11.36	12.29	-0.1743	0.1114
♂	0.9583333	8.21	8.83	10.16	11.73	12.68	-0.1797	0.1107
♂	3.0000000	11.67	12.49	14.33	16.64	18.12	-0.6033	0.1116
♀	0.0000000	2.37	2.75	3.40	3.99	4.29	1.5092	0.1421
♀	0.0416667	2.71	3.10	3.80	4.45	4.78	1.3579	0.1381
♀	0.1250000	3.35	3.77	4.54	5.31	5.70	1.1055	0.1317
♀	0.2083333	3.95	4.39	5.23	6.09	6.55	0.9026	0.1269
♀	0.2916667	4.49	4.96	5.86	6.80	7.32	0.7341	0.1230
♀	0.3750000	5.00	5.48	6.44	7.46	8.02	0.5902	0.1198
♀	0.4583333	5.47	5.96	6.97	8.06	8.67	0.4644	0.1172
♀	0.5416667	5.90	6.41	7.45	8.61	9.26	0.3522	0.1149
♀	0.6250000	6.29	6.82	7.90	9.11	9.80	0.2505	0.1129
♀	0.7083333	6.66	7.20	8.31	9.57	10.30	0.1572	0.1113
♀	0.7916667	7.00	7.55	8.69	10.00	10.76	0.0709	0.1099
♀	0.8750000	7.31	7.87	9.04	10.40	11.19	-0.0097	0.1087
♀	0.9583333	7.60	8.17	9.37	10.76	11.59	-0.0853	0.1077
♀	3.0000000	11.25	12.03	13.87	16.36	18.09	-1.0167	0.1189

WFL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	45	1.57	1.83	2.29	2.71	2.92	1.4490	0.1492
♀	45	1.59	1.82	2.31	2.82	3.11	0.6668	0.1690

## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?

WFL2

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	77	8.93	9.35	10.27	11.40	12.1	-0.9993	0.0771
♀	77	8.69	9.13	10.09	11.26	12.0	-0.9578	0.0817

## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?

WEIGHT2_20

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	2	10.30	11.05	12.67	14.58	15.74	0.1081	-0.2062
♂	20	53.47	58.41	70.60	88.81	102.59	0.1615	-0.9165
♀	2	9.91	10.57	12.06	13.94	15.15	0.1074	-0.7353
♀	20	44.65	48.38	58.22	75.35	91.33	0.1666	-1.5134

cn.ref

Citations

• Kempf, E., Vogel, M., Vogel, T., Kratzsch, J., Landgraf, K., Kühnapfel, A., Gausche, R., Gräfe, D., Sergeyev, E., Pfäffle, R., Kiess, W., Stanik, J., Körner, A., 2021. Dynamic alterations in linear growth and endocrine parameters in children with obesity and height reference values. EClinicalMedicine 37, 100977. https://doi.org/10.1016/j.eclinm.2021.100977

HEIGHT_NW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.0000000	47.03	48.43	51.28	54.45	56.29	0.0457	-0.8522
♂	0.0833333	50.79	52.17	54.85	57.62	59.13	0.0388	0.3014
♂	0.1666667	54.14	55.63	58.48	61.37	62.93	0.0383	0.6511
♂	0.2500000	57.33	58.87	61.83	64.84	66.45	0.0377	0.6355
♂	0.3333333	59.97	61.54	64.56	67.66	69.33	0.0370	0.4808
♂	0.4166667	62.07	63.65	66.71	69.88	71.60	0.0364	0.2761
♂	0.5000000	63.82	65.41	68.52	71.76	73.54	0.0361	0.0674
♂	0.5833333	65.35	66.96	70.13	73.46	75.29	0.0361	-0.1237
♂	0.6666667	66.71	68.35	71.59	75.02	76.92	0.0363	-0.2866
♂	0.7500000	67.94	69.61	72.92	76.46	78.43	0.0366	-0.4160
♂	0.8333333	69.06	70.76	74.14	77.78	79.82	0.0369	-0.5095
♂	0.9166667	70.08	71.81	75.27	79.00	81.09	0.0372	-0.5669
♂	1.0000000	71.03	72.80	76.33	80.14	82.28	0.0375	-0.5943
♂	2.0000000	81.28	83.38	87.54	91.93	94.36	0.0381	-0.1530
♂	3.0000000	88.87	91.36	96.25	101.37	104.18	0.0406	0.0862
♂	4.0000000	95.66	98.44	103.90	109.66	112.83	0.0421	0.0247
♂	5.0000000	102.07	105.10	111.07	117.42	120.94	0.0433	-0.0882
♂	6.0000000	107.83	111.14	117.71	124.71	128.60	0.0449	-0.1181
♂	7.0000000	113.19	116.78	123.88	131.46	135.67	0.0462	-0.0719
♂	8.0000000	118.59	122.39	129.93	137.94	142.38	0.0467	-0.0227
♂	9.0000000	123.56	127.62	135.66	144.24	149.00	0.0478	-0.0316
♂	10.0000000	127.56	131.97	140.77	150.20	155.47	0.0505	-0.0803
♂	11.0000000	130.85	135.74	145.57	156.21	162.20	0.0548	-0.1394
♂	12.0000000	135.27	140.67	151.57	163.50	170.27	0.0587	-0.1942
♂	13.0000000	141.45	147.23	158.96	171.88	179.25	0.0604	-0.2433
♂	14.0000000	148.06	153.95	165.93	179.15	186.70	0.0591	-0.2999
♂	15.0000000	154.07	159.75	171.30	184.02	191.29	0.0552	-0.3729
♂	16.0000000	159.08	164.38	175.12	186.92	193.64	0.0501	-0.4616
♂	17.0000000	162.90	167.77	177.62	188.41	194.54	0.0452	-0.5642
♂	18.0000000	165.78	170.23	179.22	189.04	194.61	0.0409	-0.6749
♀	0.0000000	46.54	47.81	50.50	53.68	55.61	0.0450	-1.8883
♀	0.0833333	49.84	51.17	53.72	56.36	57.78	0.0377	0.3748
♀	0.1666667	53.09	54.51	57.21	59.93	61.38	0.0370	0.8519
♀	0.2500000	55.85	57.35	60.19	63.05	64.57	0.0370	0.8928
♀	0.3333333	58.22	59.77	62.73	65.73	67.33	0.0371	0.7436
♀	0.4166667	60.26	61.85	64.90	68.02	69.70	0.0371	0.5269
♀	0.5000000	62.03	63.63	66.74	69.96	71.70	0.0370	0.2983
♀	0.5833333	63.59	65.20	68.35	71.64	73.45	0.0368	0.0774
♀	0.6666667	64.99	66.61	69.79	73.15	75.01	0.0366	-0.1273
♀	0.7500000	66.26	67.89	71.12	74.54	76.44	0.0364	-0.3101
♀	0.8333333	67.45	69.09	72.35	75.84	77.79	0.0364	-0.4676
♀	0.9166667	68.56	70.22	73.52	77.09	79.09	0.0364	-0.5977
♀	1.0000000	69.62	71.30	74.66	78.29	80.34	0.0365	-0.6990
♀	2.0000000	79.91	82.02	86.20	90.63	93.09	0.0389	-0.2183
♀	3.0000000	87.93	90.41	95.23	100.24	102.97	0.0403	0.2297
♀	4.0000000	94.93	97.64	103.04	108.81	112.02	0.0422	-0.2224
♀	5.0000000	101.34	104.22	110.05	116.42	120.03	0.0432	-0.6035
♀	6.0000000	107.09	110.31	116.82	123.94	127.99	0.0454	-0.5474
♀	7.0000000	112.39	115.95	123.08	130.79	135.11	0.0470	-0.2744
♀	8.0000000	117.89	121.62	129.10	137.15	141.68	0.0469	-0.2599
♀	9.0000000	123.09	127.04	135.02	143.76	148.71	0.0482	-0.4461
♀	10.0000000	127.53	131.89	140.79	150.67	156.34	0.0519	-0.5569
♀	11.0000000	132.50	137.35	147.25	158.26	164.58	0.0553	-0.4791
♀	12.0000000	138.66	143.81	154.22	165.60	172.07	0.0550	-0.2747
♀	13.0000000	144.31	149.38	159.51	170.40	176.49	0.0514	-0.0955
♀	14.0000000	148.22	153.02	162.55	172.73	178.41	0.0473	-0.0916
♀	15.0000000	150.42	154.93	163.93	173.64	179.09	0.0445	-0.3171
♀	16.0000000	152.14	156.38	164.96	174.37	179.73	0.0425	-0.7016
♀	17.0000000	153.42	157.40	165.58	174.74	180.05	0.0407	-1.1664
♀	18.0000000	153.79	157.52	165.27	174.12	179.34	0.0390	-1.6480

HEIGHT_ADI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.0000000	46.84	48.33	51.27	54.40	56.14	0.0462	-0.0312
♂	0.0833333	50.25	51.72	54.58	57.57	59.20	0.0418	0.1977
♂	0.1666667	53.81	55.33	58.29	61.37	63.04	0.0404	0.2855
♂	0.2500000	56.87	58.46	61.53	64.70	66.42	0.0396	0.3487
♂	0.3333333	59.47	61.11	64.29	67.56	69.33	0.0391	0.3990
♂	0.4166667	61.64	63.34	66.62	69.98	71.80	0.0389	0.4411
♂	0.5000000	63.47	65.21	68.58	72.04	73.91	0.0388	0.4774
♂	0.5833333	65.01	66.81	70.27	73.81	75.72	0.0389	0.5096
♂	0.6666667	66.33	68.18	71.72	75.35	77.30	0.0390	0.5387
♂	0.7500000	67.47	69.36	72.98	76.69	78.68	0.0392	0.5655
♂	0.8333333	68.48	70.41	74.11	77.90	79.93	0.0394	0.5903
♂	0.9166667	69.40	71.38	75.16	79.02	81.09	0.0397	0.6137
♂	1.0000000	70.29	72.31	76.17	80.10	82.21	0.0399	0.6360
♂	2.0000000	81.04	83.57	88.37	93.21	95.78	0.0426	0.8604
♂	3.0000000	90.24	93.18	98.72	104.26	107.18	0.0438	1.0384
♂	4.0000000	98.51	101.73	107.76	113.75	116.90	0.0435	1.1536
♂	5.0000000	106.15	109.57	115.95	122.27	125.58	0.0427	1.2075
♂	6.0000000	112.66	116.26	122.99	129.64	133.13	0.0424	1.2170
♂	7.0000000	118.50	122.33	129.50	136.58	140.31	0.0429	1.1973
♂	8.0000000	123.66	127.79	135.54	143.21	147.25	0.0444	1.1574
♂	9.0000000	128.48	133.00	141.50	149.95	154.40	0.0467	1.1017
♂	10.0000000	132.95	137.88	147.17	156.45	161.35	0.0492	1.0339
♂	11.0000000	137.57	142.82	152.78	162.76	168.05	0.0509	0.9559
♂	12.0000000	142.79	148.24	158.62	169.09	174.67	0.0513	0.8699
♂	13.0000000	148.51	154.03	164.58	175.28	181.01	0.0504	0.7780
♂	14.0000000	153.81	159.26	169.73	180.40	186.13	0.0486	0.6831
♂	15.0000000	158.36	163.66	173.87	184.32	189.96	0.0464	0.5875
♂	16.0000000	162.25	167.37	177.24	187.41	192.90	0.0441	0.4927
♂	17.0000000	165.66	170.58	180.11	189.95	195.29	0.0420	0.3997
♂	18.0000000	168.72	173.45	182.65	192.17	197.35	0.0400	0.3091
♀	0.0000000	46.81	48.11	50.76	53.67	55.34	0.0427	-0.7653
♀	0.0833333	49.72	51.03	53.63	56.41	57.96	0.0391	-0.3222
♀	0.1666667	52.87	54.24	56.94	59.80	61.39	0.0381	-0.1588
♀	0.2500000	55.88	57.32	60.15	63.12	64.76	0.0376	-0.0435
♀	0.3333333	58.41	59.91	62.85	65.93	67.62	0.0374	0.0464
♀	0.4166667	60.38	61.94	64.98	68.15	69.89	0.0373	0.1201
♀	0.5000000	62.00	63.60	66.74	70.00	71.77	0.0374	0.1825
♀	0.5833333	63.41	65.07	68.29	71.63	73.45	0.0375	0.2368
♀	0.6666667	64.73	66.43	69.75	73.18	75.04	0.0377	0.2848
♀	0.7500000	65.99	67.74	71.15	74.67	76.58	0.0380	0.3280
♀	0.8333333	67.19	69.00	72.50	76.11	78.07	0.0383	0.3674
♀	0.9166667	68.32	70.19	73.78	77.49	79.50	0.0386	0.4035
♀	1.0000000	69.39	71.31	75.00	78.80	80.85	0.0390	0.4371
♀	2.0000000	80.17	82.68	87.49	92.37	94.98	0.0432	0.7246
♀	3.0000000	89.25	92.23	97.89	103.59	106.62	0.0453	0.8973
♀	4.0000000	97.18	100.43	106.55	112.67	115.91	0.0448	1.0019
♀	5.0000000	104.33	107.75	114.20	120.62	124.01	0.0439	1.0616
♀	6.0000000	111.07	114.73	121.62	128.47	132.08	0.0441	1.0898
♀	7.0000000	117.06	121.02	128.47	135.88	139.79	0.0451	1.0949
♀	8.0000000	122.07	126.34	134.38	142.39	146.61	0.0466	1.0820
♀	9.0000000	127.08	131.66	140.31	148.92	153.47	0.0480	1.0540
♀	10.0000000	132.57	137.42	146.59	155.75	160.60	0.0488	1.0120
♀	11.0000000	138.39	143.42	152.96	162.52	167.59	0.0487	0.9575
♀	12.0000000	143.73	148.83	158.51	168.26	173.44	0.0478	0.8939
♀	13.0000000	147.74	152.78	162.39	172.10	177.28	0.0464	0.8245
♀	14.0000000	150.25	155.16	164.55	174.07	179.16	0.0448	0.7512
♀	15.0000000	151.69	156.44	165.52	174.78	179.74	0.0432	0.6758
♀	16.0000000	152.79	157.35	166.11	175.06	179.87	0.0416	0.6002
♀	17.0000000	153.71	158.08	166.51	175.14	179.79	0.0400	0.5256
♀	18.0000000	154.45	158.64	166.72	175.02	179.51	0.0383	0.4531

cole_lobstein.ref

Citations

• 1. Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatric Obesity 2012;7(4):284–94.

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	2	14.20	14.93	16.48	18.31	19.42	-0.624	0.0795
♂	3	13.86	14.54	16.02	17.81	18.92	-0.888	0.0789
♂	4	13.58	14.23	15.68	17.47	18.61	-1.130	0.0797
♂	5	13.33	13.98	15.45	17.34	18.59	-1.342	0.0835
♂	6	13.08	13.76	15.34	17.46	18.93	-1.517	0.0920
♂	7	12.96	13.68	15.39	17.81	19.56	-1.621	0.1014
♂	8	13.03	13.79	15.64	18.33	20.35	-1.644	0.1090
♂	9	13.18	14.00	16.00	18.99	21.30	-1.641	0.1165
♂	10	13.37	14.24	16.40	19.70	22.32	-1.625	0.1237
♂	11	13.62	14.55	16.85	20.40	23.26	-1.586	0.1289
♂	12	13.96	14.93	17.34	21.09	24.11	-1.547	0.1317
♂	13	14.38	15.39	17.90	21.78	24.90	-1.524	0.1324
♂	14	14.89	15.93	18.51	22.48	25.66	-1.509	0.1315
♂	15	15.43	16.50	19.14	23.16	26.34	-1.498	0.1296
♂	16	15.96	17.05	19.72	23.77	26.94	-1.490	0.1272
♂	17	16.44	17.55	20.26	24.34	27.50	-1.486	0.1252
♂	18	16.87	18.00	20.76	24.88	28.06	-1.487	0.1240
♀	2	13.88	14.61	16.21	18.15	19.36	-0.816	0.0845
♀	3	13.56	14.26	15.79	17.71	18.93	-1.029	0.0842
♀	4	13.28	13.96	15.48	17.42	18.68	-1.207	0.0858
♀	5	13.02	13.70	15.26	17.30	18.67	-1.356	0.0902
♀	6	12.78	13.50	15.15	17.41	18.99	-1.461	0.0982
♀	7	12.69	13.45	15.24	17.78	19.64	-1.526	0.1074
♀	8	12.79	13.60	15.53	18.38	20.54	-1.559	0.1156
♀	9	12.96	13.82	15.92	19.11	21.60	-1.560	0.1238
♀	10	13.19	14.11	16.39	19.91	22.74	-1.531	0.1315
♀	11	13.54	14.52	16.97	20.80	23.90	-1.481	0.1370
♀	12	14.02	15.06	17.66	21.74	25.04	-1.435	0.1400
♀	13	14.58	15.67	18.40	22.65	26.08	-1.412	0.1406
♀	14	15.16	16.29	19.09	23.43	26.92	-1.408	0.1390
♀	15	15.70	16.84	19.68	24.05	27.52	-1.419	0.1361
♀	16	16.15	17.30	20.15	24.51	27.93	-1.434	0.1330
♀	17	16.49	17.65	20.51	24.86	28.26	-1.438	0.1310
♀	18	16.72	17.90	20.79	25.16	28.56	-1.423	0.1303

colombia_sf.ref

Citations

• Ramírez-Vélez, R. et al. Triceps and Subscapular Skinfold Thickness Percentiles and Cut-Offs for Overweight and Obesity in a Population-Based Sample of Schoolchildren and Adolescents in Bogota, Colombia. Nutrients 8, (2016).

SFSUBSCAP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	9	5.11	6.42	10	15.76	20.15	-0.06	0.35
♂	18	7.10	9.17	15	24.92	32.80	-0.06	0.39
♀	9	6.39	7.70	12	23.30	40.33	-0.74	0.41
♀	18	9.36	11.84	20	39.57	63.07	-0.44	0.46

SFTRICEPS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	9	5.19	6.42	10.00	16.68	22.65	-0.30	0.37
♂	18	6.17	7.97	14.00	28.69	46.24	-0.38	0.49
♀	9	10.17	11.82	16.99	29.84	48.72	-0.97	0.34
♀	18	12.01	14.19	21.37	41.47	76.46	-0.93	0.39

SFSUM_TRISUB

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	9	11.93	14.76	23.00	38.36	52.11	-0.30	0.37
♂	18	12.35	15.94	28.00	57.38	92.49	-0.38	0.49
♀	9	16.74	19.46	27.99	49.15	80.24	-0.97	0.34
♀	18	22.45	26.52	39.94	77.51	142.92	-0.93	0.39

ethiop.ref

Citations

• Amare, E. B. et al. Reference Ranges for Head Circumference in Ethiopian Children 0-2 Years of Age. World Neurosurgery 84, 1566-1571.e2 (2015).

fredriks05.ref

Citations

• Fredriks, A. M. et al. Nationwide age references for sitting height, leg length, and sitting height/height ratio, and their diagnostic value for disproportionate growth disorders. Archives of Disease in Childhood 90, 807-812 (2005)

SITT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.25	37.00	38.29	40.67	42.98	44.18	1.510	0.045
♀	0.50	40.71	42.13	44.74	47.29	48.61	1.445	0.045
♀	0.75	42.65	44.16	46.96	49.70	51.13	1.386	0.046
♀	1.00	44.26	45.82	48.72	51.56	53.05	1.336	0.046
♀	2.00	47.44	49.18	52.43	55.63	57.31	1.234	0.048
♀	3.00	49.32	51.16	54.62	58.02	59.81	1.194	0.049
♀	4.00	52.17	54.11	57.76	61.37	63.27	1.164	0.049
♀	5.00	55.12	57.22	61.16	65.06	67.11	1.147	0.050
♀	6.00	57.81	60.02	64.15	68.24	70.39	1.144	0.050
♀	7.00	60.21	62.51	66.81	71.07	73.31	1.153	0.050
♀	8.00	62.69	65.09	69.57	74.01	76.33	1.176	0.050
♀	9.00	65.27	67.72	72.29	76.80	79.16	1.217	0.049
♀	10.00	67.45	70.00	74.73	79.38	81.82	1.277	0.049
♀	11.00	69.79	72.38	77.18	81.88	84.32	1.357	0.048
♀	12.00	72.55	75.20	80.10	84.86	87.33	1.471	0.047
♀	13.00	75.58	78.24	83.13	87.84	90.27	1.610	0.045
♀	14.00	78.05	80.69	85.50	90.12	92.49	1.735	0.043
♀	15.00	79.81	82.38	87.06	91.54	93.84	1.823	0.041
♀	16.00	80.94	83.48	88.11	92.53	94.79	1.883	0.040
♀	17.00	81.52	84.01	88.54	92.87	95.09	1.907	0.039
♀	18.00	81.67	84.17	88.71	93.04	95.27	1.917	0.039
♀	19.00	81.93	84.44	88.99	93.34	95.57	1.933	0.039
♀	20.00	82.44	84.89	89.35	93.60	95.78	1.953	0.038
♀	21.00	82.69	85.15	89.63	93.89	96.08	1.969	0.038
♂	0.25	37.62	39.13	41.69	43.96	45.08	3.072	0.045
♂	0.50	41.31	42.93	45.67	48.11	49.30	3.087	0.044
♂	0.75	43.45	45.15	48.04	50.60	51.85	3.092	0.044
♂	1.00	44.97	46.72	49.71	52.36	53.66	3.087	0.044
♂	2.00	48.24	50.23	53.60	56.59	58.05	3.030	0.046
♂	3.00	50.38	52.44	55.95	59.08	60.60	2.971	0.046
♂	4.00	52.78	54.98	58.74	62.10	63.74	2.886	0.047
♂	5.00	55.59	57.89	61.83	65.37	67.12	2.768	0.047
♂	6.00	58.42	60.80	64.92	68.65	70.50	2.624	0.047
♂	7.00	61.21	63.60	67.78	71.62	73.53	2.474	0.046
♂	8.00	63.51	66.02	70.45	74.53	76.58	2.331	0.047
♂	9.00	65.53	68.09	72.64	76.87	78.99	2.212	0.047
♂	10.00	67.08	69.75	74.50	78.94	81.18	2.115	0.048
♂	11.00	68.86	71.58	76.44	81.00	83.31	2.023	0.048
♂	12.00	70.94	73.78	78.89	83.71	86.16	1.931	0.049
♂	13.00	73.56	76.56	81.97	87.09	89.69	1.868	0.050
♂	14.00	76.71	79.84	85.48	90.81	93.53	1.871	0.050
♂	15.00	80.41	83.48	88.99	94.21	96.87	1.925	0.047
♂	16.00	83.29	86.24	91.56	96.58	99.14	1.985	0.044
♂	17.00	85.01	87.86	93.02	97.89	100.38	2.024	0.042
♂	18.00	85.97	88.78	93.85	98.66	101.10	2.047	0.041
♂	19.00	86.58	89.34	94.31	99.02	101.42	2.059	0.040
♂	20.00	86.69	89.45	94.43	99.15	101.55	2.062	0.040
♂	21.00	86.90	89.66	94.65	99.38	101.79	2.060	0.040

LEGLENGTH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.25	16.04	17.01	18.90	20.84	21.89	0.707	0.079
♀	0.50	18.35	19.43	21.52	23.68	24.84	0.673	0.077
♀	0.75	20.56	21.73	24.00	26.34	27.62	0.650	0.075
♀	1.00	22.64	23.91	26.36	28.91	30.29	0.641	0.074
♀	2.00	30.58	32.18	35.26	38.42	40.12	0.719	0.069
♀	3.00	36.77	38.61	42.15	45.74	47.67	0.785	0.066
♀	4.00	41.11	43.06	46.80	50.62	52.66	0.764	0.063
♀	5.00	44.70	46.74	50.65	54.65	56.81	0.713	0.061
♀	6.00	48.18	50.32	54.45	58.69	60.98	0.660	0.060
♀	7.00	51.71	53.96	58.31	62.78	65.20	0.625	0.059
♀	8.00	55.11	57.47	62.01	66.68	69.21	0.624	0.058
♀	9.00	58.12	60.61	65.41	70.33	72.99	0.662	0.058
♀	10.00	61.10	63.69	68.66	73.72	76.44	0.738	0.057
♀	11.00	64.00	66.74	71.97	77.25	80.07	0.850	0.057
♀	12.00	67.00	69.85	75.25	80.65	83.51	0.982	0.056
♀	13.00	69.30	72.28	77.90	83.47	86.40	1.101	0.056
♀	14.00	70.65	73.72	79.46	85.13	88.11	1.175	0.056
♀	15.00	71.41	74.46	80.15	85.76	88.70	1.209	0.055
♀	16.00	71.70	74.77	80.49	86.12	89.07	1.225	0.055
♀	17.00	71.85	74.92	80.66	86.30	89.25	1.234	0.055
♀	18.00	71.93	75.01	80.75	86.39	89.35	1.238	0.055
♀	19.00	71.99	75.08	80.83	86.48	89.43	1.242	0.055
♀	20.00	72.11	75.20	80.96	86.61	89.57	1.248	0.055
♀	21.00	72.19	75.29	81.06	86.72	89.68	1.253	0.055
♂	0.25	16.32	17.38	19.38	21.36	22.40	1.061	0.080
♂	0.50	18.77	19.93	22.14	24.36	25.54	0.936	0.078
♂	0.75	20.94	22.20	24.60	27.05	28.37	0.824	0.077
♂	1.00	23.05	24.37	26.92	29.54	30.96	0.729	0.075
♂	2.00	30.90	32.53	35.71	39.03	40.84	0.536	0.071
♂	3.00	36.91	38.73	42.29	46.00	48.02	0.513	0.067
♂	4.00	41.38	43.32	47.11	51.05	53.19	0.530	0.064
♂	5.00	45.23	47.29	51.29	55.44	57.69	0.558	0.062
♂	6.00	48.71	50.90	55.14	59.52	61.90	0.588	0.061
♂	7.00	52.07	54.37	58.83	63.42	65.90	0.617	0.060
♂	8.00	55.22	57.67	62.41	67.27	69.90	0.644	0.060
♂	9.00	58.27	60.81	65.72	70.75	73.46	0.672	0.059
♂	10.00	61.01	63.68	68.83	74.09	76.92	0.703	0.059
♂	11.00	63.75	66.56	71.95	77.44	80.39	0.742	0.059
♂	12.00	66.73	69.68	75.33	81.07	84.15	0.791	0.059
♂	13.00	70.10	73.23	79.18	85.20	88.41	0.851	0.059
♂	14.00	73.47	76.70	82.83	89.01	92.29	0.910	0.058
♂	15.00	76.08	79.37	85.62	91.88	95.21	0.957	0.057
♂	16.00	77.71	81.09	87.48	93.87	97.25	0.990	0.057
♂	17.00	78.57	81.99	88.46	94.92	98.33	1.007	0.057
♂	18.00	78.89	82.33	88.82	95.31	98.74	1.013	0.057
♂	19.00	78.95	82.39	88.89	95.37	98.81	1.014	0.057
♂	20.00	79.01	82.45	88.95	95.45	98.88	1.016	0.057
♂	21.00	79.17	82.63	89.14	95.65	99.09	1.019	0.057

SITTOVERHEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.25	0.63	0.65	0.68	0.71	0.73	4.72	0.036
♀	0.50	0.62	0.64	0.67	0.70	0.71	4.72	0.036
♀	0.75	0.61	0.63	0.66	0.69	0.70	4.72	0.036
♀	1.00	0.59	0.62	0.65	0.68	0.69	4.72	0.036
♀	2.00	0.55	0.57	0.60	0.63	0.64	4.72	0.036
♀	3.00	0.52	0.54	0.57	0.59	0.60	4.72	0.035
♀	4.00	0.51	0.53	0.55	0.58	0.59	4.72	0.034
♀	5.00	0.51	0.52	0.55	0.57	0.58	4.72	0.032
♀	6.00	0.50	0.52	0.54	0.56	0.57	4.72	0.031
♀	7.00	0.50	0.51	0.54	0.55	0.56	4.72	0.029
♀	8.00	0.50	0.51	0.53	0.55	0.56	4.72	0.028
♀	9.00	0.49	0.51	0.53	0.54	0.55	4.72	0.027
♀	10.00	0.49	0.50	0.52	0.54	0.55	4.72	0.028
♀	11.00	0.49	0.50	0.52	0.54	0.54	4.72	0.027
♀	12.00	0.49	0.50	0.52	0.53	0.54	4.72	0.027
♀	13.00	0.49	0.50	0.52	0.53	0.54	4.72	0.027
♀	14.00	0.49	0.50	0.52	0.53	0.54	4.72	0.027
♀	15.00	0.49	0.50	0.52	0.54	0.55	4.72	0.027
♀	16.00	0.49	0.50	0.52	0.54	0.55	4.72	0.027
♀	17.00	0.49	0.50	0.52	0.54	0.55	4.72	0.027
♀	18.00	0.49	0.50	0.52	0.54	0.55	4.72	0.027
♀	19.00	0.49	0.51	0.52	0.54	0.55	4.72	0.027
♀	20.00	0.49	0.51	0.53	0.54	0.55	4.72	0.027
♀	21.00	0.49	0.51	0.53	0.54	0.55	4.72	0.027
♂	0.25	0.63	0.65	0.68	0.71	0.72	5.22	0.034
♂	0.50	0.62	0.64	0.67	0.70	0.71	5.22	0.034
♂	0.75	0.61	0.63	0.66	0.69	0.70	5.22	0.034
♂	1.00	0.60	0.62	0.65	0.67	0.69	5.22	0.034
♂	2.00	0.56	0.57	0.60	0.63	0.64	5.22	0.034
♂	3.00	0.53	0.55	0.57	0.59	0.60	5.22	0.033
♂	4.00	0.51	0.53	0.56	0.58	0.59	5.22	0.033
♂	5.00	0.51	0.52	0.55	0.57	0.58	5.22	0.031
♂	6.00	0.50	0.52	0.54	0.56	0.57	5.22	0.030
♂	7.00	0.50	0.51	0.54	0.55	0.56	5.22	0.029
♂	8.00	0.50	0.51	0.53	0.55	0.56	5.22	0.028
♂	9.00	0.49	0.51	0.53	0.54	0.55	5.22	0.027
♂	10.00	0.49	0.50	0.52	0.54	0.54	5.22	0.026
♂	11.00	0.49	0.50	0.52	0.53	0.54	5.22	0.025
♂	12.00	0.48	0.50	0.51	0.53	0.54	5.22	0.025
♂	13.00	0.48	0.49	0.51	0.52	0.53	5.22	0.025
♂	14.00	0.48	0.49	0.51	0.52	0.53	5.22	0.026
♂	15.00	0.48	0.49	0.51	0.53	0.53	5.22	0.026
♂	16.00	0.48	0.49	0.51	0.53	0.54	5.22	0.027
♂	17.00	0.48	0.49	0.51	0.53	0.54	5.22	0.027
♂	18.00	0.48	0.49	0.52	0.53	0.54	5.22	0.028
♂	19.00	0.48	0.50	0.52	0.53	0.54	5.22	0.028
♂	20.00	0.48	0.50	0.52	0.53	0.54	5.22	0.029
♂	21.00	0.48	0.49	0.51	0.53	0.54	5.22	0.029

gomez_bmitmi.ref

Citations

• Gómez-Campos R, Vidal-Espinoza R, Marques de Moraes A, et al. Comparison of Anthropometric Indicators That Assess Nutritional Status From Infancy to Old Age and Proposal of Percentiles for a Regional Sample of Chile. Frontiers in Nutrition [Internet] 2021 [cited 2022 May 28];8. Available from: https://www.frontiersin.org/article/10.3389/fnut.2021.657491

TMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	10.42	11.71	14.90	19.60	23.05	-0.50	0.20
♂	6	10.28	11.55	14.70	19.34	22.74	-0.50	0.20
♂	7	10.20	11.42	14.50	19.15	22.67	-0.60	0.20
♂	8	10.04	11.22	14.20	18.84	22.45	-0.70	0.20
♂	9	9.90	11.06	14.00	18.57	22.14	-0.70	0.20
♂	10	9.81	10.93	13.80	18.38	22.09	-0.80	0.20
♂	11	9.72	10.80	13.60	18.20	22.05	-0.90	0.20
♂	12	9.58	10.64	13.40	17.93	21.73	-0.90	0.20
♂	13	9.48	10.51	13.20	17.75	21.71	-1.00	0.20
♂	14	9.53	10.53	13.20	17.84	22.05	-1.10	0.20
♂	15	9.57	10.56	13.20	17.93	22.42	-1.20	0.20
♂	16	9.72	10.72	13.40	18.20	22.76	-1.20	0.20
♂	17	9.86	10.88	13.60	18.47	23.10	-1.20	0.20
♂	18	10.01	11.04	13.80	18.75	23.44	-1.20	0.20
♂	19	11.82	12.52	14.10	16.21	17.63	-1.20	0.10
♂	20	12.16	12.87	14.50	16.66	18.13	-1.20	0.10
♂	30	12.50	13.23	14.90	17.12	18.63	-1.20	0.10
♂	40	12.91	13.67	15.40	17.70	19.26	-1.20	0.10
♂	50	13.25	14.02	15.80	18.16	19.76	-1.20	0.10
♂	60	13.50	14.29	16.10	18.50	20.13	-1.20	0.10
♂	70	13.84	14.65	16.50	18.96	20.63	-1.20	0.10
♂	80	14.17	15.00	16.90	19.42	21.13	-1.20	0.10
♀	5	10.68	11.96	14.73	18.03	20.01	0.15	0.16
♀	6	10.58	11.80	14.49	17.78	19.81	0.02	0.16
♀	7	10.48	11.65	14.26	17.55	19.63	-0.12	0.16
♀	8	10.42	11.53	14.08	17.38	19.53	-0.26	0.16
♀	9	10.37	11.45	13.94	17.27	19.49	-0.40	0.16
♀	10	10.38	11.42	13.87	17.23	19.54	-0.53	0.16
♀	11	10.42	11.44	13.86	17.28	19.70	-0.66	0.16
♀	12	10.52	11.52	13.93	17.42	19.96	-0.78	0.16
♀	13	10.50	11.52	14.06	17.91	20.88	-0.89	0.17
♀	14	10.65	11.66	14.21	18.15	21.25	-0.97	0.17
♀	15	10.79	11.80	14.36	18.38	21.62	-1.04	0.17
♀	16	10.90	11.91	14.49	18.57	21.88	-1.07	0.17
♀	17	10.99	12.01	14.61	18.73	22.08	-1.08	0.17
♀	18	11.10	12.13	14.76	18.91	22.26	-1.06	0.17
♀	19	11.26	12.32	15.00	19.18	22.52	-1.01	0.17
♀	20	11.53	12.64	15.41	19.66	22.98	-0.94	0.17
♀	30	11.93	13.10	16.00	20.35	23.65	-0.84	0.17
♀	40	12.38	13.63	16.68	21.15	24.43	-0.73	0.17
♀	50	12.83	14.16	17.38	21.95	25.21	-0.60	0.17
♀	60	13.25	14.67	18.06	22.72	25.93	-0.46	0.17
♀	70	13.63	15.15	18.71	23.44	26.60	-0.31	0.17
♀	80	13.99	15.62	19.35	24.16	27.27	-0.17	0.17

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	11.46	13.25	16.80	20.56	22.63	0.74	0.17
♂	6	12.05	13.75	17.30	21.29	23.59	0.46	0.17
♂	7	12.55	14.17	17.70	21.91	24.45	0.19	0.17
♂	8	13.11	14.67	18.20	22.68	25.54	-0.10	0.17
♂	9	13.61	15.14	18.70	23.43	26.56	-0.30	0.17
♂	10	14.11	15.61	19.20	24.18	27.64	-0.50	0.17
♂	11	14.53	16.00	19.60	24.83	28.64	-0.70	0.17
♂	12	14.96	16.44	20.10	25.54	29.61	-0.80	0.17
♂	13	15.68	17.09	20.60	25.91	30.01	-1.00	0.16
♂	14	16.19	17.62	21.20	26.75	31.14	-1.10	0.16
♂	15	16.71	18.15	21.80	27.59	32.31	-1.20	0.16
♂	16	17.46	18.87	22.40	27.95	32.44	-1.30	0.15
♂	17	17.85	19.29	22.90	28.57	33.17	-1.30	0.15
♂	18	18.37	19.82	23.50	29.40	34.32	-1.40	0.15
♂	19	19.03	20.45	24.00	29.51	33.93	-1.40	0.14
♂	20	19.45	20.94	24.60	30.18	34.54	-1.30	0.14
♂	30	19.93	21.45	25.20	30.91	35.38	-1.30	0.14
♂	40	20.32	21.87	25.70	31.53	36.08	-1.30	0.14
♂	80	21.94	23.54	27.40	33.00	37.14	-1.20	0.13
♀	5	12.14	13.44	16.40	20.26	22.77	-0.28	0.16
♀	6	12.48	13.79	16.81	20.80	23.43	-0.35	0.16
♀	7	12.66	14.04	17.29	21.73	24.77	-0.43	0.17
♀	8	13.12	14.52	17.85	22.48	25.70	-0.50	0.17
♀	9	13.63	15.06	18.49	23.34	26.78	-0.58	0.17
♀	10	14.21	15.66	19.19	24.29	27.98	-0.67	0.17
♀	11	14.80	16.28	19.92	25.27	29.23	-0.75	0.17
♀	12	15.38	16.89	20.63	26.24	30.50	-0.84	0.17
♀	13	15.92	17.46	21.29	27.15	31.69	-0.92	0.17
♀	14	16.38	17.93	21.85	27.92	32.71	-0.98	0.17
♀	15	16.75	18.32	22.30	28.55	33.57	-1.04	0.17
♀	16	17.03	18.62	22.65	29.03	34.20	-1.07	0.17
♀	17	17.52	19.06	22.94	28.93	33.67	-1.09	0.16
♀	18	17.74	19.31	23.24	29.30	34.08	-1.08	0.16
♀	19	18.02	19.63	23.64	29.77	34.55	-1.04	0.16
♀	20	18.44	20.10	24.23	30.47	35.27	-0.99	0.16
♀	30	18.97	20.71	24.99	31.36	36.15	-0.91	0.16
♀	40	19.54	21.38	25.84	32.34	37.10	-0.81	0.16
♀	50	20.09	22.03	26.68	33.29	38.01	-0.70	0.16
♀	60	20.59	22.64	27.48	34.18	38.82	-0.57	0.16
♀	70	21.04	23.20	28.23	35.00	39.56	-0.44	0.16
♀	80	21.46	23.73	28.95	35.78	40.26	-0.31	0.16

italian.ref

Citations

• Cacciari E, Milani S, Balsamo A, Spada E, Bona G, Cavallo L, et al. Italian cross-sectional growth charts for height, weight and BMI (2 to 20 yr). J Endocrinol Invest. 2006 Jul 1;29(7):581-93.

HEIGHTALL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	79.92	82.43	87.2	92.04	94.62	0.768	0.043
♀	3	87.30	90.07	95.4	100.83	103.75	0.656	0.044
♀	4	93.90	96.94	102.8	108.80	112.03	0.579	0.045
♀	5	100.01	103.32	109.7	116.25	119.79	0.541	0.046
♀	6	105.85	109.35	116.1	123.04	126.79	0.531	0.046
♀	7	111.24	114.91	122.0	129.29	133.23	0.528	0.046
♀	8	116.11	120.03	127.6	135.40	139.62	0.503	0.047
♀	9	121.16	125.22	133.1	141.25	145.68	0.438	0.047
♀	10	126.29	130.61	139.0	147.71	152.45	0.399	0.048
♀	11	131.83	136.49	145.5	154.77	159.77	0.551	0.049
♀	12	137.97	142.78	151.9	161.07	165.95	0.909	0.047
♀	13	143.15	147.90	156.8	165.59	170.20	1.211	0.044
♀	14	147.03	151.45	159.7	167.83	172.09	1.283	0.040
♀	15	149.09	153.31	161.2	169.01	173.11	1.215	0.038
♀	16	150.19	154.29	162.0	169.66	173.69	1.130	0.037
♀	17	150.50	154.59	162.3	169.98	174.04	1.072	0.037
♀	18	151.02	155.00	162.5	169.99	173.95	1.039	0.036
♀	19	151.12	155.09	162.6	170.10	174.06	1.021	0.036
♀	20	151.12	155.10	162.6	170.10	174.07	1.012	0.036
♂	2	80.11	83.12	88.8	94.50	97.52	0.964	0.050
♂	3	87.91	91.05	97.0	102.98	106.16	0.926	0.048
♂	4	94.56	97.85	104.1	110.39	113.74	0.880	0.047
♂	5	100.58	104.07	110.7	117.40	120.97	0.834	0.047
♂	6	106.37	109.96	116.8	123.73	127.43	0.795	0.046
♂	7	111.85	115.61	122.8	130.09	133.99	0.766	0.046
♂	8	116.96	120.89	128.4	136.03	140.11	0.739	0.046
♂	9	121.91	125.99	133.8	141.76	146.03	0.686	0.046
♂	10	126.73	130.92	139.0	147.31	151.79	0.539	0.046
♂	11	131.48	135.81	144.3	153.20	158.08	0.220	0.047
♂	12	136.25	140.91	150.2	160.18	165.76	-0.116	0.050
♂	13	141.65	146.86	157.2	168.23	174.36	0.050	0.053
♂	14	147.95	153.68	164.6	175.62	181.50	0.855	0.052
♂	15	154.20	159.93	170.4	180.47	185.66	1.649	0.047
♂	16	159.23	164.36	173.7	182.63	187.21	1.847	0.041
♂	17	161.93	166.63	175.3	183.71	188.07	1.612	0.038
♂	18	163.43	167.81	176.0	184.06	188.27	1.341	0.036
♂	19	163.88	168.23	176.4	184.51	188.77	1.172	0.036
♂	20	164.36	168.57	176.5	184.40	188.57	1.084	0.035

HEIGHT_N

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	78.59	81.39	86.7	92.05	94.90	0.886	0.048
♀	3	86.51	89.50	95.2	100.97	104.04	0.814	0.047
♀	4	93.53	96.75	102.9	109.14	112.48	0.755	0.047
♀	5	100.00	103.43	110.0	116.68	120.26	0.718	0.047
♀	6	106.23	109.79	116.6	123.53	127.25	0.700	0.046
♀	7	111.80	115.53	122.7	130.00	133.92	0.684	0.046
♀	8	117.01	120.91	128.4	136.05	140.16	0.638	0.046
♀	9	121.99	126.02	133.8	141.80	146.12	0.530	0.046
♀	10	126.92	131.26	139.7	148.45	153.21	0.414	0.048
♀	11	132.67	137.25	146.1	155.22	160.16	0.508	0.048
♀	12	138.52	143.34	152.5	161.71	166.62	0.893	0.047
♀	13	144.07	148.76	157.5	166.12	170.63	1.260	0.043
♀	14	147.74	152.20	160.5	168.66	172.92	1.349	0.040
♀	15	149.81	154.06	162.0	169.84	173.95	1.258	0.038
♀	16	150.83	154.96	162.7	170.39	174.44	1.151	0.037
♀	17	151.47	155.47	163.0	170.51	174.47	1.081	0.036
♀	18	151.57	155.57	163.1	170.62	174.59	1.042	0.036
♀	19	151.68	155.67	163.2	170.73	174.71	1.022	0.036
♀	20	151.68	155.67	163.2	170.73	174.71	1.012	0.036
♂	2	79.21	82.18	87.8	93.43	96.42	0.969	0.050
♂	3	87.73	90.86	96.8	102.77	105.94	0.927	0.048
♂	4	94.66	97.95	104.2	110.50	113.86	0.869	0.047
♂	5	100.78	104.26	110.9	117.62	121.21	0.805	0.047
♂	6	106.53	110.20	117.2	124.31	128.12	0.746	0.047
♂	7	112.10	115.94	123.3	130.79	134.81	0.702	0.047
♂	8	117.48	121.49	129.2	137.06	141.28	0.674	0.047
♂	9	122.84	126.94	134.8	142.83	147.15	0.647	0.046
♂	10	127.71	131.94	140.1	148.46	152.97	0.576	0.046
♂	11	132.38	136.80	145.4	154.32	159.18	0.382	0.047
♂	12	137.29	141.97	151.2	160.97	166.36	0.103	0.049
♂	13	142.64	147.85	158.1	168.92	174.89	0.188	0.052
♂	14	149.33	154.92	165.5	176.12	181.76	0.942	0.050
♂	15	155.68	161.21	171.3	180.99	185.97	1.707	0.045
♂	16	160.36	165.36	174.5	183.27	187.78	1.801	0.040
♂	17	162.90	167.46	175.9	184.14	188.43	1.504	0.037
♂	18	163.84	168.21	176.4	184.49	188.74	1.248	0.036
♂	19	164.44	168.66	176.6	184.50	188.67	1.112	0.035
♂	20	164.56	168.77	176.7	184.62	188.80	1.050	0.035

HEIGHT_S

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	80.18	82.77	87.7	92.66	95.30	0.883	0.044
♀	3	87.52	90.33	95.7	101.13	104.02	0.799	0.044
♀	4	93.84	96.92	102.8	108.78	111.98	0.725	0.045
♀	5	99.89	103.15	109.4	115.77	119.19	0.672	0.045
♀	6	105.44	108.95	115.7	122.59	126.30	0.642	0.046
♀	7	110.83	114.51	121.6	128.85	132.75	0.616	0.046
♀	8	115.96	119.80	127.2	134.79	138.89	0.567	0.046
♀	9	120.77	124.83	132.7	140.82	145.22	0.479	0.047
♀	10	126.00	130.32	138.7	147.38	152.10	0.426	0.048
♀	11	131.54	136.20	145.2	154.44	159.43	0.574	0.049
♀	12	137.33	142.12	151.2	160.33	165.18	0.914	0.047
♀	13	142.16	146.87	155.7	164.43	169.02	1.189	0.044
♀	14	145.45	149.93	158.3	166.56	170.90	1.249	0.041
♀	15	147.40	151.68	159.7	167.65	171.82	1.187	0.039
♀	16	148.31	152.47	160.3	168.09	172.19	1.113	0.038
♀	17	149.02	153.07	160.7	168.31	172.33	1.063	0.037
♀	18	149.12	153.17	160.8	168.42	172.45	1.034	0.037
♀	19	149.22	153.27	160.9	168.53	172.56	1.018	0.037
♀	20	149.23	153.27	160.9	168.53	172.56	1.010	0.037
♂	2	80.92	83.96	89.7	95.45	98.50	0.981	0.050
♂	3	87.97	91.20	97.3	103.42	106.66	0.963	0.049
♂	4	94.24	97.61	104.0	110.41	113.81	0.944	0.048
♂	5	100.27	103.77	110.4	117.06	120.60	0.925	0.047
♂	6	106.13	109.75	116.6	123.49	127.15	0.909	0.046
♂	7	111.42	115.21	122.4	129.64	133.49	0.893	0.046
♂	8	116.78	120.65	128.0	135.41	139.36	0.863	0.045
♂	9	121.57	125.57	133.2	140.93	145.06	0.775	0.045
♂	10	126.34	130.43	138.3	146.38	150.74	0.552	0.045
♂	11	130.79	135.07	143.5	152.37	157.25	0.152	0.047
♂	12	135.56	140.18	149.4	159.34	164.92	-0.173	0.050
♂	13	140.76	145.93	156.2	167.16	173.26	0.038	0.053
♂	14	146.59	152.23	163.0	173.95	179.81	0.761	0.052
♂	15	152.13	157.80	168.3	178.52	183.83	1.431	0.048
♂	16	156.54	161.78	171.4	180.69	185.48	1.636	0.043
♂	17	159.16	164.01	173.0	181.76	186.31	1.500	0.040
♂	18	160.70	165.27	173.8	182.20	186.60	1.304	0.038
♂	19	161.05	165.59	174.1	182.54	186.99	1.166	0.038
♂	20	161.62	166.02	174.3	182.55	186.90	1.087	0.037

WEIGHTALL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	9.84	10.58	12.3	14.69	16.36	-0.982	0.127
♀	3	11.44	12.35	14.5	17.56	19.75	-0.985	0.136
♀	4	13.02	14.12	16.8	20.72	23.64	-0.984	0.148
♀	5	14.55	15.89	19.2	24.20	28.02	-0.950	0.162
♀	6	16.20	17.83	21.9	28.16	33.04	-0.881	0.176
♀	7	17.92	19.87	24.8	32.45	38.44	-0.789	0.189
♀	8	19.79	22.11	28.0	37.13	44.23	-0.691	0.200
♀	9	21.80	24.52	31.4	41.98	50.10	-0.598	0.208
♀	10	24.02	27.19	35.2	47.35	56.52	-0.503	0.215
♀	11	26.79	30.58	40.0	53.85	63.92	-0.361	0.220
♀	12	30.37	34.86	45.6	60.35	70.34	-0.153	0.214
♀	13	34.83	39.64	50.7	65.01	74.23	-0.041	0.193
♀	14	38.77	43.31	53.7	67.14	75.84	-0.172	0.171
♀	15	41.21	45.40	55.1	67.95	76.48	-0.391	0.157
♀	16	42.24	46.25	55.6	68.20	76.74	-0.536	0.151
♀	17	42.64	46.58	55.8	68.35	76.95	-0.605	0.149
♀	18	42.83	46.73	55.9	68.42	77.03	-0.635	0.148
♀	19	42.92	46.80	55.9	68.34	76.89	-0.647	0.147
♀	20	42.93	46.80	55.9	68.35	76.92	-0.653	0.147
♂	2	10.18	10.96	12.8	15.38	17.20	-0.974	0.131
♂	3	12.02	12.96	15.2	18.38	20.65	-0.987	0.135
♂	4	13.64	14.74	17.4	21.24	24.06	-1.010	0.141
♂	5	15.16	16.45	19.6	24.28	27.81	-1.026	0.150
♂	6	16.73	18.24	22.0	27.73	32.18	-1.015	0.161
♂	7	18.37	20.16	24.7	31.80	37.46	-0.965	0.175
♂	8	20.18	22.32	27.8	36.51	43.53	-0.881	0.189
♂	9	22.20	24.75	31.3	41.72	50.10	-0.778	0.201
♂	10	24.40	27.40	35.1	47.22	56.80	-0.668	0.210
♂	11	26.98	30.49	39.4	53.14	63.68	-0.556	0.215
♂	12	29.93	34.00	44.2	59.46	70.77	-0.439	0.217
♂	13	33.58	38.25	49.7	66.12	77.77	-0.317	0.213
♂	14	38.16	43.37	55.8	72.83	84.39	-0.214	0.202
♂	15	43.27	48.68	61.3	78.04	89.11	-0.197	0.184
♂	16	47.92	53.13	65.2	81.15	91.70	-0.314	0.165
♂	17	51.13	56.05	67.5	82.86	93.20	-0.501	0.152
♂	18	52.95	57.65	68.7	83.76	94.11	-0.660	0.145
♂	19	53.84	58.42	69.2	84.04	94.36	-0.758	0.141
♂	20	54.34	58.85	69.5	84.24	94.56	-0.811	0.139

WEIGHT_N

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	9.69	10.41	12.1	14.42	16.03	-0.944	0.126
♀	3	11.47	12.37	14.5	17.49	19.62	-0.952	0.134
♀	4	13.07	14.16	16.8	20.61	23.41	-0.957	0.145
♀	5	14.63	15.95	19.2	24.03	27.67	-0.933	0.158
♀	6	16.30	17.90	21.9	27.97	32.65	-0.873	0.172
♀	7	18.05	19.98	24.8	32.19	37.90	-0.787	0.184
♀	8	19.98	22.26	28.0	36.78	43.52	-0.691	0.194
♀	9	22.07	24.76	31.5	41.72	49.47	-0.594	0.202
♀	10	24.41	27.56	35.4	47.11	55.79	-0.491	0.208
♀	11	27.25	30.97	40.1	53.28	62.69	-0.351	0.211
♀	12	30.98	35.31	45.6	59.59	69.02	-0.175	0.204
♀	13	35.28	39.87	50.4	64.06	72.89	-0.094	0.185
♀	14	38.99	43.37	53.4	66.39	74.81	-0.212	0.166
♀	15	41.37	45.46	54.9	67.35	75.59	-0.406	0.153
♀	16	42.46	46.39	55.5	67.70	75.92	-0.542	0.147
♀	17	42.86	46.71	55.7	67.85	76.11	-0.611	0.145
♀	18	43.05	46.87	55.8	67.91	76.18	-0.642	0.144
♀	19	43.14	46.93	55.8	67.83	76.06	-0.656	0.143
♀	20	43.15	46.94	55.8	67.84	76.08	-0.662	0.143
♂	2	10.42	11.19	13.0	15.54	17.34	-1.039	0.127
♂	3	12.11	13.02	15.2	18.28	20.49	-1.038	0.131
♂	4	13.61	14.69	17.3	21.07	23.83	-1.040	0.139
♂	5	15.10	16.38	19.5	24.12	27.59	-1.027	0.149
♂	6	16.69	18.21	22.0	27.75	32.19	-0.982	0.162
♂	7	18.37	20.20	24.8	31.92	37.50	-0.904	0.176
♂	8	20.39	22.60	28.2	36.92	43.79	-0.806	0.189
♂	9	22.60	25.23	31.9	42.25	50.32	-0.702	0.199
♂	10	25.06	28.13	35.9	47.79	56.89	-0.606	0.205
♂	11	27.77	31.32	40.2	53.56	63.56	-0.519	0.208
♂	12	30.84	34.86	44.8	59.40	70.04	-0.439	0.207
♂	13	34.34	38.89	50.0	65.87	77.11	-0.352	0.205
♂	14	38.68	43.74	55.8	72.34	83.61	-0.256	0.196
♂	15	43.79	49.11	61.5	77.93	88.81	-0.223	0.180
♂	16	48.53	53.68	65.6	81.37	91.82	-0.344	0.162
♂	17	51.64	56.46	67.7	82.83	93.07	-0.549	0.149
♂	18	53.20	57.80	68.6	83.35	93.51	-0.704	0.142
♂	19	53.91	58.40	69.0	83.60	93.76	-0.787	0.139
♂	20	54.21	58.67	69.2	83.78	93.98	-0.825	0.138

WEIGHT_S

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	9.75	10.50	12.3	14.90	16.80	-1.083	0.135
♀	3	11.42	12.35	14.6	17.89	20.35	-1.048	0.143
♀	4	13.01	14.13	16.9	21.03	24.17	-1.020	0.153
♀	5	14.48	15.83	19.2	24.37	28.40	-0.978	0.166
♀	6	16.08	17.70	21.8	28.20	33.28	-0.914	0.179
♀	7	17.73	19.67	24.6	32.40	38.64	-0.833	0.192
♀	8	19.55	21.84	27.7	36.99	44.40	-0.744	0.203
♀	9	21.60	24.30	31.2	42.08	50.67	-0.655	0.212
♀	10	23.85	27.01	35.1	47.70	57.49	-0.559	0.220
♀	11	26.64	30.37	39.8	54.10	64.83	-0.441	0.224
♀	12	30.34	34.69	45.4	60.90	71.97	-0.311	0.219
♀	13	34.53	39.19	50.4	66.00	76.76	-0.268	0.203
♀	14	38.29	42.84	53.7	68.73	79.10	-0.373	0.184
♀	15	40.54	44.89	55.3	69.90	80.14	-0.525	0.172
♀	16	41.58	45.78	55.9	70.24	80.44	-0.628	0.166
♀	17	42.02	46.18	56.2	70.51	80.78	-0.681	0.164
♀	18	42.27	46.38	56.3	70.47	80.65	-0.705	0.162
♀	19	42.37	46.47	56.4	70.61	80.86	-0.716	0.162
♀	20	42.37	46.48	56.4	70.62	80.89	-0.721	0.162
♂	2	9.91	10.71	12.6	15.26	17.15	-0.914	0.137
♂	3	11.97	12.96	15.3	18.61	20.97	-0.903	0.140
♂	4	13.69	14.84	17.6	21.54	24.39	-0.911	0.144
♂	5	15.35	16.67	19.9	24.60	28.06	-0.932	0.150
♂	6	16.87	18.41	22.2	27.89	32.22	-0.952	0.160
♂	7	18.44	20.22	24.7	31.63	37.08	-0.949	0.172
♂	8	20.15	22.24	27.6	36.11	42.98	-0.910	0.186
♂	9	22.01	24.50	30.9	41.23	49.69	-0.836	0.200
♂	10	24.19	27.14	34.8	47.21	57.36	-0.743	0.213
♂	11	26.74	30.18	39.1	53.39	64.86	-0.651	0.220
♂	12	29.78	33.73	43.9	59.90	72.46	-0.578	0.222
♂	13	33.41	37.79	48.9	66.01	79.12	-0.544	0.216
♂	14	37.64	42.31	54.0	71.64	84.90	-0.559	0.204
♂	15	42.13	46.95	58.9	76.69	89.95	-0.620	0.190
♂	16	46.40	51.26	63.2	80.78	93.78	-0.698	0.176
♂	17	49.94	54.84	66.8	84.24	97.05	-0.757	0.166
♂	18	52.66	57.61	69.6	86.89	99.46	-0.779	0.159
♂	19	54.34	59.37	71.5	88.84	101.34	-0.773	0.156
♂	20	55.55	60.65	72.9	90.28	102.70	-0.758	0.154

BMIALL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	13.66	14.34	16.1	19.08	21.87	-2.743	0.106
♀	3	13.37	14.02	15.7	18.62	21.47	-2.934	0.105
♀	4	13.18	13.85	15.6	18.65	21.64	-2.791	0.110
♀	5	13.21	13.93	15.8	19.04	22.16	-2.548	0.116
♀	6	13.31	14.09	16.1	19.54	22.78	-2.312	0.122
♀	7	13.41	14.25	16.4	20.06	23.44	-2.118	0.128
♀	8	13.64	14.55	16.9	20.91	24.62	-1.957	0.136
♀	9	13.84	14.83	17.4	21.76	25.73	-1.775	0.144
♀	10	14.11	15.23	18.1	22.88	27.06	-1.504	0.154
♀	11	14.46	15.72	18.9	23.88	27.89	-1.151	0.160
♀	12	15.02	16.41	19.8	24.77	28.45	-0.854	0.159
♀	13	15.61	17.02	20.4	25.21	28.66	-0.797	0.152
♀	14	16.27	17.60	20.8	25.43	28.82	-0.997	0.142
♀	15	16.74	17.98	21.0	25.49	28.91	-1.270	0.134
♀	16	16.94	18.11	21.0	25.38	28.80	-1.463	0.129
♀	17	17.10	18.25	21.1	25.46	28.91	-1.557	0.127
♀	18	17.13	18.28	21.1	25.43	28.88	-1.594	0.126
♀	19	17.14	18.28	21.1	25.44	28.90	-1.604	0.126
♀	20	17.14	18.28	21.1	25.44	28.90	-1.605	0.126
♂	2	14.51	15.07	16.5	18.92	21.24	-3.721	0.084
♂	3	13.88	14.45	15.9	18.38	20.77	-3.507	0.089
♂	4	13.68	14.27	15.8	18.41	20.92	-3.284	0.094
♂	5	13.54	14.17	15.8	18.63	21.40	-3.089	0.101
♂	6	13.57	14.24	16.0	19.08	22.14	-2.900	0.108
♂	7	13.63	14.37	16.3	19.73	23.18	-2.682	0.117
♂	8	13.82	14.64	16.8	20.65	24.50	-2.412	0.127
♂	9	13.98	14.90	17.3	21.53	25.63	-2.091	0.137
♂	10	14.23	15.28	18.0	22.65	26.94	-1.736	0.148
♂	11	14.51	15.69	18.7	23.59	27.73	-1.382	0.155
♂	12	14.90	16.22	19.5	24.54	28.49	-1.069	0.159
♂	13	15.37	16.77	20.2	25.18	28.85	-0.844	0.157
♂	14	15.94	17.40	20.9	25.83	29.34	-0.740	0.153
♂	15	16.44	17.88	21.3	26.07	29.42	-0.765	0.146
♂	16	17.00	18.39	21.7	26.34	29.65	-0.890	0.139
♂	17	17.40	18.73	21.9	26.43	29.72	-1.065	0.133
♂	18	17.68	18.95	22.0	26.43	29.72	-1.242	0.128
♂	19	17.93	19.14	22.1	26.45	29.73	-1.391	0.124
♂	20	18.10	19.29	22.2	26.53	29.85	-1.501	0.122

BMI_N

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	13.59	14.30	16.1	19.08	21.76	-2.507	0.108
♀	3	13.32	13.99	15.7	18.61	21.36	-2.771	0.106
♀	4	13.18	13.86	15.6	18.59	21.46	-2.730	0.109
♀	5	13.17	13.88	15.7	18.81	21.75	-2.564	0.113
♀	6	13.29	14.05	16.0	19.33	22.46	-2.375	0.119
♀	7	13.40	14.21	16.3	19.86	23.17	-2.204	0.125
♀	8	13.57	14.44	16.7	20.55	24.12	-2.044	0.132
♀	9	13.76	14.72	17.2	21.43	25.30	-1.842	0.141
♀	10	14.03	15.11	17.9	22.52	26.57	-1.539	0.151
♀	11	14.47	15.71	18.8	23.60	27.43	-1.161	0.156
♀	12	14.97	16.32	19.6	24.37	27.88	-0.864	0.155
♀	13	15.63	16.98	20.2	24.76	28.01	-0.834	0.146
♀	14	16.29	17.56	20.6	24.98	28.20	-1.072	0.136
♀	15	16.77	17.94	20.8	25.05	28.29	-1.375	0.128
♀	16	16.93	18.05	20.8	24.98	28.27	-1.583	0.124
♀	17	17.10	18.19	20.9	25.06	28.38	-1.683	0.122
♀	18	17.13	18.22	20.9	25.03	28.35	-1.720	0.121
♀	19	17.13	18.22	20.9	25.03	28.36	-1.729	0.121
♀	20	17.13	18.22	20.9	25.03	28.36	-1.727	0.121
♂	2	14.97	15.63	17.3	20.07	22.59	-3.082	0.093
♂	3	13.70	14.32	15.9	18.53	20.95	-2.995	0.096
♂	4	13.36	13.99	15.6	18.31	20.85	-2.927	0.100
♂	5	13.35	14.01	15.7	18.60	21.37	-2.851	0.105
♂	6	13.49	14.19	16.0	19.15	22.22	-2.738	0.111
♂	7	13.58	14.33	16.3	19.77	23.20	-2.565	0.119
♂	8	13.79	14.62	16.8	20.65	24.43	-2.323	0.128
♂	9	14.02	14.96	17.4	21.65	25.72	-2.022	0.138
♂	10	14.25	15.30	18.0	22.54	26.60	-1.684	0.146
♂	11	14.53	15.71	18.7	23.48	27.44	-1.341	0.153
♂	12	14.95	16.26	19.5	24.39	28.16	-1.033	0.156
♂	13	15.42	16.82	20.2	25.04	28.54	-0.804	0.154
♂	14	15.94	17.38	20.8	25.52	28.82	-0.687	0.149
♂	15	16.41	17.84	21.2	25.79	28.95	-0.693	0.143
♂	16	16.97	18.35	21.6	26.06	29.16	-0.805	0.136
♂	17	17.37	18.68	21.8	26.15	29.23	-0.980	0.130
♂	18	17.74	19.00	22.0	26.27	29.36	-1.169	0.125
♂	19	17.99	19.20	22.1	26.29	29.39	-1.337	0.121
♂	20	18.11	19.28	22.1	26.22	29.32	-1.469	0.118

BMI_S

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	2	13.60	14.31	16.1	19.11	21.89	-2.611	0.108
♀	3	13.36	14.05	15.8	18.78	21.60	-2.698	0.108
♀	4	13.28	13.99	15.8	18.91	21.86	-2.609	0.112
♀	5	13.24	13.98	15.9	19.20	22.32	-2.438	0.118
♀	6	13.26	14.05	16.1	19.59	22.85	-2.236	0.124
♀	7	13.32	14.18	16.4	20.17	23.65	-2.025	0.132
♀	8	13.53	14.47	16.9	21.00	24.70	-1.814	0.140
♀	9	13.79	14.83	17.5	21.94	25.86	-1.607	0.148
♀	10	14.14	15.28	18.2	22.98	27.07	-1.416	0.155
♀	11	14.61	15.85	19.0	24.05	28.23	-1.262	0.159
♀	12	15.18	16.49	19.8	24.99	29.17	-1.168	0.159
♀	13	15.75	17.10	20.5	25.77	29.95	-1.142	0.157
♀	14	16.24	17.60	21.0	26.24	30.38	-1.170	0.153
♀	15	16.67	18.03	21.4	26.60	30.72	-1.225	0.149
♀	16	16.93	18.26	21.6	26.75	30.85	-1.282	0.146
♀	17	17.07	18.40	21.7	26.81	30.90	-1.326	0.144
♀	18	17.19	18.51	21.8	26.91	31.02	-1.356	0.143
♀	19	17.30	18.62	21.9	27.00	31.10	-1.374	0.142
♀	20	17.31	18.62	21.9	27.01	31.12	-1.384	0.142
♂	2	14.04	14.54	15.8	17.98	20.14	-4.261	0.078
♂	3	13.87	14.38	15.7	17.99	20.28	-4.081	0.082
♂	4	13.84	14.38	15.8	18.29	20.81	-3.816	0.088
♂	5	13.76	14.35	15.9	18.65	21.46	-3.492	0.096
♂	6	13.74	14.39	16.1	19.15	22.27	-3.132	0.105
♂	7	13.85	14.58	16.5	19.92	23.37	-2.757	0.115
♂	8	13.92	14.74	16.9	20.71	24.48	-2.385	0.126
♂	9	14.04	14.97	17.4	21.62	25.63	-2.031	0.137
♂	10	14.34	15.39	18.1	22.67	26.80	-1.706	0.146
♂	11	14.55	15.71	18.7	23.57	27.73	-1.420	0.154
♂	12	14.98	16.26	19.5	24.58	28.67	-1.179	0.158
♂	13	15.37	16.76	20.2	25.40	29.41	-0.990	0.160
♂	14	15.83	17.30	20.9	26.19	30.11	-0.856	0.160
♂	15	16.32	17.83	21.5	26.76	30.56	-0.778	0.157
♂	16	16.86	18.41	22.1	27.32	31.05	-0.753	0.153
♂	17	17.32	18.85	22.5	27.62	31.25	-0.773	0.148
♂	18	17.77	19.29	22.9	27.98	31.58	-0.825	0.144
♂	19	18.07	19.56	23.1	28.09	31.65	-0.897	0.140
♂	20	18.46	19.92	23.4	28.33	31.87	-0.977	0.136

japanese.ref

Citations

• Inokuchi, M., Matsuo, N., Anzo, M., Takayama, J. I. & Hasegawa, T. Age-dependent percentile for waist circumference for Japanese children based on the 1992–1994 cross-sectional national survey data. Eur J Pediatr 166, 655–661 (2007)

WC1_INO

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	44.97	46.56	50.38	56.01	60.40	-3.24	0.070
♀	7	45.62	47.24	51.15	57.00	61.65	-3.32	0.071
♀	8	46.75	48.41	52.45	58.60	63.61	-3.43	0.072
♀	9	47.92	49.63	53.81	60.27	65.65	-3.52	0.073
♀	10	49.29	51.07	55.42	62.20	67.88	-3.52	0.074
♀	11	51.22	53.11	57.73	64.82	70.66	-3.34	0.075
♀	12	52.78	54.74	59.48	66.57	72.18	-3.14	0.074
♀	13	54.10	56.11	60.92	68.01	73.52	-3.05	0.073
♀	14	55.39	57.43	62.30	69.42	74.89	-3.03	0.072
♀	15	56.36	58.42	63.31	70.41	75.82	-3.01	0.071
♀	16	57.03	59.09	63.98	71.03	76.35	-3.00	0.070
♀	17	57.58	59.63	64.50	71.48	76.70	-2.99	0.069
♀	18	58.01	60.08	64.99	72.01	77.27	-2.98	0.069
♂	6	45.74	47.15	50.57	55.74	59.93	-3.98	0.063
♂	7	46.89	48.46	52.34	58.44	63.66	-3.89	0.070
♂	8	48.09	49.83	54.18	61.31	67.76	-3.81	0.077
♂	9	49.34	51.24	56.10	64.34	72.20	-3.72	0.084
♂	10	50.71	52.76	58.04	67.21	76.23	-3.63	0.089
♂	11	52.01	54.19	59.85	69.82	79.85	-3.55	0.093
♂	12	53.50	55.77	61.61	71.80	81.86	-3.46	0.093
♂	13	55.25	57.58	63.52	73.66	83.37	-3.40	0.091
♂	14	57.21	59.57	65.55	75.51	84.73	-3.36	0.088
♂	15	59.11	61.50	67.48	77.26	86.05	-3.35	0.085
♂	16	60.65	63.05	69.06	78.76	87.32	-3.35	0.083
♂	17	61.90	64.33	70.39	80.12	88.65	-3.36	0.082
♂	18	62.90	65.39	71.62	81.69	90.58	-3.36	0.083

WC2_INO

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	47.35	49.40	54.27	61.23	66.39	-2.34	0.082
♀	7	48.50	50.64	55.75	63.11	68.62	-2.33	0.084
♀	8	50.31	52.58	58.01	65.87	71.80	-2.30	0.086
♀	9	52.18	54.62	60.46	68.97	75.43	-2.24	0.089
♀	10	53.88	56.50	62.77	71.88	78.76	-2.11	0.092
♀	11	55.96	58.80	65.54	75.14	82.20	-1.89	0.094
♀	12	58.41	61.46	68.60	78.46	85.45	-1.65	0.094
♀	13	60.78	63.96	71.30	81.17	87.96	-1.49	0.092
♀	14	63.13	66.36	73.69	83.30	89.73	-1.38	0.088
♀	15	64.39	67.64	74.97	84.45	90.72	-1.32	0.086
♀	16	65.18	68.45	75.80	85.24	91.42	-1.28	0.085
♀	17	65.96	69.26	76.62	86.00	92.11	-1.24	0.084
♀	18	67.19	70.49	77.83	87.08	93.03	-1.19	0.082
♂	6	46.85	48.52	52.59	58.72	63.63	-3.33	0.072
♂	7	48.64	50.55	55.20	62.33	68.14	-3.09	0.079
♂	8	50.32	52.45	57.67	65.71	72.31	-2.86	0.085
♂	9	52.05	54.42	60.25	69.25	76.65	-2.63	0.091
♂	10	53.99	56.61	63.05	72.96	81.04	-2.42	0.096
♂	11	55.73	58.55	65.46	76.01	84.47	-2.25	0.099
♂	12	57.52	60.48	67.68	78.45	86.87	-2.11	0.099
♂	13	59.86	62.96	70.42	81.38	89.73	-2.00	0.098
♂	14	62.61	65.80	73.40	84.33	92.45	-1.93	0.095
♂	15	64.82	68.06	75.71	86.50	94.36	-1.88	0.092
♂	16	66.36	69.64	77.31	88.02	95.71	-1.85	0.090
♂	17	67.49	70.76	78.40	88.96	96.45	-1.83	0.088
♂	18	68.60	71.87	79.47	89.87	97.17	-1.81	0.086

kiggs.ref

Citations

• Referenzperzentile für anthropometrische Maßzahlen und Blutdruck aus KiGGS 2003-2006, Robert Koch Institut; link: http://www.rki.de/DE/Content/Gesundheitsmonitoring/Gesundheitsberichterstattung/GBEDownloadsB/KiGGS_Referenzperzentile.html

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.3333333	13.56	14.46	16.31	18.38	19.57	0.0710	0.0937
♂	0.4166667	13.94	14.85	16.73	18.84	20.06	0.0306	0.0929
♂	0.5000000	14.17	15.08	16.97	19.10	20.33	-0.0093	0.0922
♂	0.5833333	14.31	15.21	17.10	19.23	20.47	-0.0493	0.0914
♂	0.6666667	14.40	15.30	17.18	19.31	20.55	-0.0898	0.0907
♂	0.7500000	14.46	15.36	17.22	19.34	20.58	-0.1299	0.0900
♂	0.8333333	14.50	15.38	17.23	19.34	20.58	-0.1700	0.0893
♂	0.9166667	14.49	15.36	17.18	19.27	20.50	-0.2108	0.0885
♂	1.0000000	14.44	15.30	17.09	19.16	20.38	-0.2513	0.0878
♂	2.0000000	14.07	14.79	16.34	18.20	19.34	-0.7629	0.0808
♂	3.0000000	13.90	14.53	15.94	17.71	18.86	-1.3293	0.0768
♂	4.0000000	13.70	14.29	15.64	17.43	18.66	-1.8650	0.0767
♂	5.0000000	13.46	14.05	15.44	17.41	18.85	-2.2676	0.0819
♂	6.0000000	13.38	14.01	15.53	17.85	19.73	-2.4979	0.0919
♂	7.0000000	13.40	14.09	15.81	18.63	21.14	-2.5517	0.1048
♂	8.0000000	13.49	14.25	16.21	19.59	22.81	-2.4550	0.1183
♂	9.0000000	13.68	14.52	16.74	20.66	24.51	-2.2651	0.1307
♂	10.0000000	13.95	14.89	17.36	21.75	26.06	-2.0488	0.1410
♂	11.0000000	14.24	15.28	17.99	22.78	27.40	-1.8589	0.1491
♂	12.0000000	14.58	15.69	18.60	23.70	28.55	-1.7260	0.1546
♂	13.0000000	14.98	16.15	19.21	24.54	29.54	-1.6563	0.1571
♂	14.0000000	15.46	16.67	19.83	25.29	30.36	-1.6319	0.1567
♂	15.0000000	16.01	17.25	20.47	25.98	31.02	-1.6259	0.1542
♂	16.0000000	16.58	17.84	21.10	26.59	31.52	-1.6239	0.1505
♂	17.0000000	17.16	18.44	21.72	27.17	31.96	-1.6257	0.1464
♂	18.0000000	17.73	19.02	22.31	27.71	32.37	-1.6308	0.1424
♀	0.3333333	13.13	13.98	15.73	17.68	18.81	0.0701	0.0917
♀	0.4166667	13.52	14.38	16.16	18.16	19.31	0.0019	0.0910
♀	0.5000000	13.80	14.67	16.46	18.49	19.67	-0.0653	0.0903
♀	0.5833333	14.00	14.86	16.65	18.69	19.89	-0.1325	0.0896
♀	0.6666667	14.11	14.96	16.74	18.78	19.99	-0.2003	0.0889
♀	0.7500000	14.15	14.99	16.76	18.80	20.00	-0.2671	0.0882
♀	0.8333333	14.17	14.99	16.74	18.77	19.97	-0.3336	0.0875
♀	0.9166667	14.17	14.99	16.71	18.73	19.93	-0.4005	0.0869
♀	1.0000000	14.16	14.96	16.66	18.66	19.87	-0.4662	0.0862
♀	2.0000000	13.83	14.50	15.99	17.86	19.06	-1.1922	0.0809
♀	3.0000000	13.65	14.27	15.71	17.62	18.93	-1.7197	0.0813
♀	4.0000000	13.43	14.05	15.51	17.54	19.01	-2.0239	0.0851
♀	5.0000000	13.26	13.90	15.41	17.61	19.26	-2.1531	0.0904
♀	6.0000000	13.20	13.87	15.49	17.92	19.83	-2.1641	0.0976
♀	7.0000000	13.21	13.94	15.75	18.56	20.86	-2.0995	0.1083
♀	8.0000000	13.27	14.09	16.15	19.49	22.38	-1.9898	0.1225
♀	9.0000000	13.40	14.32	16.69	20.69	24.33	-1.8601	0.1383
♀	10.0000000	13.61	14.63	17.31	21.97	26.35	-1.7345	0.1523
♀	11.0000000	13.94	15.06	18.00	23.18	28.12	-1.6351	0.1617
♀	12.0000000	14.46	15.64	18.77	24.26	29.47	-1.5791	0.1647
♀	13.0000000	15.12	16.35	19.57	25.18	30.42	-1.5758	0.1623
♀	14.0000000	15.82	17.06	20.30	25.89	31.07	-1.6252	0.1568
♀	15.0000000	16.48	17.70	20.91	26.42	31.52	-1.7187	0.1503
♀	16.0000000	17.02	18.23	21.37	26.78	31.84	-1.8427	0.1442
♀	17.0000000	17.45	18.63	21.70	27.02	32.07	-1.9830	0.1389
♀	18.0000000	17.80	18.95	21.95	27.20	32.27	-2.1259	0.1345

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.3333333	59.30	60.91	64.04	67.31	69.10	0.1285	0.0390
♂	0.4166667	61.65	63.25	66.37	69.63	71.41	0.1119	0.0375
♂	0.5000000	63.66	65.26	68.37	71.62	73.39	0.0959	0.0363
♂	0.5833333	65.39	66.99	70.10	73.35	75.12	0.0806	0.0354
♂	0.6666667	66.91	68.51	71.63	74.88	76.66	0.0661	0.0347
♂	0.7500000	68.28	69.88	73.01	76.27	78.05	0.0524	0.0341
♂	0.8333333	69.53	71.14	74.28	77.56	79.35	0.0395	0.0337
♂	0.9166667	70.68	72.31	75.48	78.79	80.60	0.0276	0.0335
♂	1.0000000	71.77	73.42	76.63	79.98	81.81	0.0167	0.0334
♂	2.0000000	82.34	84.32	88.21	92.29	94.52	-0.0580	0.0352
♂	3.0000000	90.27	92.59	97.14	101.93	104.57	-0.0713	0.0375
♂	4.0000000	96.82	99.43	104.56	109.97	112.95	-0.0512	0.0393
♂	5.0000000	102.70	105.58	111.23	117.19	120.47	-0.0075	0.0407
♂	6.0000000	108.54	111.66	117.78	124.22	127.76	0.0562	0.0416
♂	7.0000000	114.64	117.98	124.51	131.35	135.10	0.1413	0.0419
♂	8.0000000	120.26	123.83	130.79	138.04	142.00	0.2448	0.0424
♂	9.0000000	125.07	128.90	136.35	144.07	148.27	0.3598	0.0434
♂	10.0000000	129.29	133.47	141.55	149.87	154.37	0.4881	0.0452
♂	11.0000000	133.17	137.80	146.68	155.76	160.65	0.6371	0.0478
♂	12.0000000	137.29	142.43	152.22	162.13	167.41	0.8249	0.0505
♂	13.0000000	142.75	148.43	159.13	169.77	175.38	1.0830	0.0523
♂	14.0000000	150.06	155.98	166.93	177.60	183.15	1.3973	0.0505
♂	15.0000000	157.29	162.89	173.12	182.96	188.03	1.6711	0.0452
♂	16.0000000	162.13	167.28	176.66	185.64	190.25	1.8391	0.0405
♂	17.0000000	164.40	169.31	178.24	186.78	191.16	1.9158	0.0382
♂	18.0000000	165.53	170.32	179.04	187.37	191.64	1.9551	0.0371
♀	0.3333333	57.37	59.07	62.30	65.53	67.23	1.0000	0.0404
♀	0.4166667	59.59	61.31	64.54	67.77	69.49	1.0000	0.0391
♀	0.5000000	61.54	63.25	66.48	69.71	71.42	1.0000	0.0379
♀	0.5833333	63.26	64.97	68.19	71.41	73.12	1.0000	0.0369
♀	0.6666667	64.80	66.50	69.73	72.96	74.66	1.0000	0.0361
♀	0.7500000	66.21	67.92	71.16	74.40	76.11	1.0000	0.0355
♀	0.8333333	67.55	69.28	72.53	75.78	77.51	1.0000	0.0350
♀	0.9166667	68.82	70.56	73.84	77.12	78.86	1.0000	0.0347
♀	1.0000000	70.03	71.78	75.09	78.40	80.15	1.0000	0.0344
♀	2.0000000	80.68	82.77	86.73	90.69	92.78	1.0000	0.0356
♀	3.0000000	88.77	91.19	95.75	100.31	102.73	1.0000	0.0372
♀	4.0000000	95.70	98.40	103.51	108.62	111.32	1.0000	0.0385
♀	5.0000000	102.15	105.15	110.82	116.49	119.49	1.0000	0.0399
♀	6.0000000	108.16	111.43	117.59	123.75	127.02	1.0000	0.0409
♀	7.0000000	113.47	116.99	123.65	130.31	133.83	1.0000	0.0420
♀	8.0000000	118.48	122.29	129.49	136.69	140.50	1.0000	0.0434
♀	9.0000000	123.35	127.48	135.28	143.08	147.21	1.0000	0.0450
♀	10.0000000	128.40	132.82	141.18	149.54	153.96	1.0000	0.0462
♀	11.0000000	134.31	138.93	147.65	156.37	160.99	1.0000	0.0461
♀	12.0000000	140.91	145.55	154.31	163.07	167.71	1.0000	0.0443
♀	13.0000000	146.46	150.98	159.53	168.08	172.60	1.0000	0.0418
♀	14.0000000	149.95	154.38	162.74	171.10	175.53	1.0000	0.0401
♀	15.0000000	151.97	156.33	164.58	172.83	177.19	1.0000	0.0391
♀	16.0000000	152.85	157.19	165.39	173.59	177.93	1.0000	0.0387
♀	17.0000000	153.02	157.35	165.54	173.73	178.06	1.0000	0.0386
♀	18.0000000	153.26	157.59	165.77	173.95	178.28	1.0000	0.0385

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.3333333	5.33	5.83	6.84	7.94	8.56	0.4510	0.1206
♂	0.4166667	5.84	6.37	7.45	8.64	9.31	0.3604	0.1186
♂	0.5000000	6.28	6.83	7.96	9.22	9.94	0.2774	0.1169
♂	0.5833333	6.66	7.23	8.40	9.72	10.48	0.2022	0.1155
♂	0.6666667	7.00	7.58	8.79	10.16	10.96	0.1344	0.1144
♂	0.7500000	7.31	7.91	9.15	10.57	11.41	0.0734	0.1135
♂	0.8333333	7.59	8.19	9.47	10.94	11.81	0.0188	0.1128
♂	0.9166667	7.84	8.45	9.76	11.27	12.17	-0.0302	0.1123
♂	1.0000000	8.07	8.70	10.03	11.59	12.51	-0.0743	0.1119
♂	2.0000000	10.29	11.04	12.68	14.70	15.96	-0.4393	0.1117
♂	3.0000000	12.19	13.06	15.03	17.57	19.22	-0.7111	0.1152
♂	4.0000000	13.85	14.84	17.15	20.26	22.40	-0.9304	0.1206
♂	5.0000000	15.27	16.39	19.05	22.83	25.55	-1.1032	0.1279
♂	6.0000000	17.01	18.31	21.50	26.32	30.06	-1.2711	0.1392
♂	7.0000000	19.11	20.65	24.58	30.94	36.30	-1.3868	0.1537
♂	8.0000000	21.11	22.92	27.66	35.71	42.95	-1.4002	0.1676
♂	9.0000000	23.23	25.36	31.00	40.82	49.88	-1.3340	0.1797
♂	10.0000000	25.53	28.06	34.79	46.54	57.34	-1.2054	0.1915
♂	11.0000000	27.78	30.82	38.88	52.77	65.15	-1.0215	0.2047
♂	12.0000000	30.01	33.66	43.25	59.20	72.68	-0.8021	0.2166
♂	13.0000000	33.15	37.51	48.81	66.86	81.28	-0.6193	0.2231
♂	14.0000000	37.97	42.90	55.51	75.19	90.51	-0.5842	0.2170
♂	15.0000000	44.02	49.02	61.69	81.34	96.67	-0.7319	0.1953
♂	16.0000000	49.26	54.12	66.30	85.06	99.72	-0.9088	0.1740
♂	17.0000000	52.40	57.17	69.15	87.67	102.29	-1.0401	0.1641
♂	18.0000000	54.69	59.44	71.39	90.06	105.02	-1.1482	0.1591
♀	0.3333333	4.94	5.36	6.25	7.28	7.88	0.0417	0.1190
♀	0.4166667	5.44	5.88	6.82	7.91	8.56	-0.0074	0.1158
♀	0.5000000	5.85	6.32	7.30	8.45	9.13	-0.0549	0.1134
♀	0.5833333	6.22	6.70	7.72	8.92	9.63	-0.1013	0.1116
♀	0.6666667	6.54	7.03	8.09	9.33	10.08	-0.1469	0.1103
♀	0.7500000	6.83	7.34	8.43	9.72	10.49	-0.1904	0.1094
♀	0.8333333	7.11	7.63	8.75	10.08	10.89	-0.2321	0.1088
♀	0.9166667	7.37	7.91	9.06	10.44	11.28	-0.2724	0.1084
♀	1.0000000	7.61	8.15	9.34	10.76	11.63	-0.3101	0.1082
♀	2.0000000	9.74	10.43	11.95	13.87	15.09	-0.6039	0.1110
♀	3.0000000	11.63	12.48	14.42	16.95	18.61	-0.7236	0.1189
♀	4.0000000	13.23	14.25	16.60	19.78	21.96	-0.8367	0.1273
♀	5.0000000	14.86	16.04	18.84	22.79	25.60	-0.9453	0.1358
♀	6.0000000	16.64	18.01	21.35	26.22	29.84	-1.0172	0.1448
♀	7.0000000	18.43	20.05	24.06	30.13	34.81	-1.0369	0.1566
♀	8.0000000	20.19	22.13	27.01	34.67	40.79	-1.0011	0.1723
♀	9.0000000	22.13	24.48	30.55	40.34	48.38	-0.9150	0.1915
♀	10.0000000	24.25	27.14	34.68	47.04	57.30	-0.7974	0.2111
♀	11.0000000	26.81	30.28	39.37	54.28	66.58	-0.6929	0.2247
♀	12.0000000	30.64	34.59	44.87	61.51	75.03	-0.6719	0.2218
♀	13.0000000	35.29	39.41	50.02	67.08	80.94	-0.7827	0.2046
♀	14.0000000	39.59	43.62	54.01	70.84	84.80	-0.9906	0.1856
♀	15.0000000	42.85	46.75	56.80	73.29	87.32	-1.2062	0.1712
♀	16.0000000	44.95	48.74	58.53	74.74	88.81	-1.3656	0.1622
♀	17.0000000	46.10	49.83	59.47	75.54	89.68	-1.4641	0.1575
♀	18.0000000	46.85	50.54	60.08	76.07	90.27	-1.5340	0.1545

HIP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	11	63.56	67.58	76.81	89.10	97.42	-1.0677	0.1071
♂	12	66.66	70.56	79.61	91.88	100.37	-1.3074	0.1020
♂	13	70.07	73.87	82.76	95.00	103.63	-1.5471	0.0969
♂	14	73.73	77.45	86.17	98.32	107.03	-1.7867	0.0917
♂	15	77.26	80.87	89.39	101.36	110.06	-2.0264	0.0866
♂	16	80.21	83.69	91.92	103.56	112.08	-2.2661	0.0815
♂	17	82.38	85.71	93.55	104.67	112.87	-2.5058	0.0764
♂	18	84.26	87.42	94.86	105.40	113.17	-2.7406	0.0714
♀	11	64.47	68.60	78.16	91.08	99.97	-1.1247	0.1097
♀	12	69.44	73.33	82.50	95.37	104.64	-1.5803	0.1011
♀	13	74.13	77.80	86.55	99.16	108.57	-2.0189	0.0928
♀	14	78.04	81.51	89.85	102.05	111.37	-2.4011	0.0856
♀	15	80.93	84.25	92.23	103.99	113.09	-2.6999	0.0800
♀	16	82.93	86.14	93.84	105.21	114.05	-2.9144	0.0759
♀	17	84.32	87.44	94.94	106.01	114.61	-3.0660	0.0730
♀	18	85.42	88.48	95.81	106.62	115.03	-3.1881	0.0707

WAIST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	11	53.41	56.44	64.08	76.50	87.31	-2.2079	0.1144
♂	12	55.34	58.36	65.99	78.44	89.37	-2.3312	0.1110
♂	13	57.33	60.34	67.95	80.40	91.42	-2.4545	0.1076
♂	14	59.37	62.37	69.96	82.40	93.46	-2.5779	0.1042
♂	15	61.40	64.39	71.94	84.34	95.41	-2.7012	0.1009
♂	16	63.32	66.29	73.78	86.06	97.06	-2.8246	0.0975
♂	17	65.12	68.05	75.45	87.56	98.40	-2.9479	0.0941
♂	18	66.82	69.72	77.01	88.92	99.56	-3.0687	0.0908
♀	11	51.91	54.73	61.96	74.20	85.58	-2.4900	0.1134
♀	12	54.25	56.99	64.04	76.07	87.48	-2.7470	0.1072
♀	13	56.33	58.99	65.83	77.55	88.78	-2.9881	0.1013
♀	14	57.94	60.53	67.18	78.58	89.56	-3.1900	0.0965
♀	15	59.11	61.64	68.13	79.23	89.90	-3.3432	0.0927
♀	16	59.93	62.42	68.78	79.67	90.12	-3.4532	0.0901
♀	17	60.52	62.97	69.25	79.97	90.23	-3.5318	0.0882
♀	18	61.01	63.44	69.64	80.21	90.31	-3.5982	0.0866

WHR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	11	0.73	0.75	0.80	0.86	0.90	-1.7545	0.0525
♀	12	0.71	0.73	0.78	0.84	0.88	-1.9200	0.0529
♀	13	0.70	0.72	0.76	0.82	0.86	-2.0866	0.0533
♀	14	0.68	0.70	0.75	0.81	0.85	-2.2532	0.0536
♀	15	0.67	0.70	0.74	0.80	0.84	-2.4198	0.0540
♀	16	0.67	0.69	0.73	0.79	0.83	-2.5864	0.0544
♀	17	0.67	0.69	0.73	0.79	0.83	-2.7529	0.0547
♀	18	0.66	0.68	0.73	0.79	0.83	-2.9165	0.0551
♂	11	0.77	0.79	0.84	0.90	0.94	-2.7301	0.0497
♂	12	0.76	0.78	0.83	0.89	0.93	-2.4993	0.0500
♂	13	0.75	0.78	0.82	0.88	0.92	-2.2672	0.0503
♂	14	0.75	0.77	0.82	0.87	0.91	-2.0537	0.0506
♂	15	0.74	0.76	0.81	0.87	0.91	-1.8996	0.0509
♂	16	0.74	0.76	0.81	0.87	0.90	-1.8348	0.0509
♂	17	0.74	0.76	0.81	0.87	0.90	-1.8228	0.0510
♂	18	0.74	0.76	0.81	0.87	0.90	-1.7940	0.0510

WHTR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	11	0.37	0.39	0.44	0.51	0.58	-2.5680	0.1004
♂	12	0.37	0.39	0.43	0.51	0.57	-2.6735	0.0991
♂	13	0.37	0.38	0.43	0.50	0.56	-2.7791	0.0979
♂	14	0.36	0.38	0.42	0.49	0.55	-2.8846	0.0966
♂	15	0.36	0.38	0.42	0.49	0.55	-2.9902	0.0954
♂	16	0.36	0.38	0.42	0.49	0.55	-3.0957	0.0942
♂	17	0.37	0.38	0.42	0.49	0.56	-3.2013	0.0929
♂	18	0.37	0.39	0.43	0.50	0.56	-3.3047	0.0917
♀	11	0.36	0.37	0.42	0.49	0.56	-3.2686	0.0969
♀	12	0.36	0.37	0.42	0.49	0.55	-3.2512	0.0960
♀	13	0.36	0.37	0.41	0.48	0.55	-3.2336	0.0952
♀	14	0.36	0.37	0.41	0.48	0.55	-3.2159	0.0943
♀	15	0.36	0.37	0.41	0.48	0.55	-3.1983	0.0935
♀	16	0.36	0.38	0.42	0.48	0.55	-3.1807	0.0926
♀	17	0.36	0.38	0.42	0.48	0.55	-3.1631	0.0918
♀	18	0.37	0.38	0.42	0.49	0.55	-3.1458	0.0909

BODYFAT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	8	8.88	10.60	15.53	24.81	33.44	-0.4822	0.3271
♂	9	9.28	11.20	16.84	27.92	38.67	-0.4717	0.3509
♂	10	9.53	11.64	18.02	31.18	44.61	-0.4612	0.3780
♂	11	9.50	11.75	18.75	33.93	50.25	-0.4508	0.4061
♂	12	9.17	11.46	18.76	35.22	53.67	-0.4403	0.4293
♂	13	8.52	10.74	17.94	34.66	53.95	-0.4299	0.4475
♂	14	7.54	9.57	16.24	32.09	50.76	-0.4194	0.4622
♂	15	6.81	8.68	14.85	29.57	46.93	-0.4090	0.4683
♂	16	6.86	8.74	14.87	29.21	45.71	-0.3985	0.4619
♂	17	7.27	9.22	15.49	29.67	45.37	-0.3881	0.4483
♂	18	7.88	9.93	16.43	30.60	45.63	-0.3778	0.4324
♀	8	10.66	12.64	18.06	27.26	34.90	-0.3762	0.2977
♀	9	11.02	13.17	19.12	29.37	37.96	-0.3540	0.3107
♀	10	11.40	13.72	20.17	31.37	40.81	-0.3318	0.3206
♀	11	11.95	14.42	21.23	32.96	42.72	-0.3096	0.3208
♀	12	12.74	15.31	22.28	33.94	43.37	-0.2874	0.3093
♀	13	13.70	16.33	23.34	34.62	43.43	-0.2652	0.2921
♀	14	14.69	17.39	24.39	35.27	43.49	-0.2430	0.2753
♀	15	15.70	18.45	25.44	35.96	43.67	-0.2208	0.2599
♀	16	16.74	19.53	26.50	36.67	43.93	-0.1986	0.2454
♀	17	17.54	20.42	27.55	37.79	45.00	-0.1764	0.2398
♀	18	18.10	21.13	28.59	39.27	46.76	-0.1547	0.2417

SKINFOLDSUM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.3333333	13.60	15.32	19.19	24.02	27.05	0.0073	0.1754
♂	0.4166667	13.44	15.14	18.98	23.81	26.85	-0.0138	0.1765
♂	0.5000000	13.28	14.96	18.77	23.59	26.65	-0.0349	0.1777
♂	0.5833333	13.11	14.77	18.55	23.36	26.43	-0.0560	0.1789
♂	0.6666667	12.95	14.59	18.34	23.15	26.23	-0.0771	0.1801
♂	0.7500000	12.79	14.41	18.13	22.93	26.02	-0.0982	0.1812
♂	0.8333333	12.63	14.24	17.93	22.73	25.84	-0.1193	0.1824
♂	0.9166667	12.48	14.07	17.73	22.52	25.64	-0.1404	0.1835
♂	1.0000000	12.34	13.91	17.54	22.32	25.46	-0.1614	0.1846
♂	2.0000000	11.23	12.63	16.05	20.93	24.40	-0.4094	0.1964
♂	3.0000000	11.02	12.36	15.74	20.96	25.00	-0.6416	0.2042
♂	4.0000000	10.79	12.06	15.40	20.96	25.66	-0.8459	0.2116
♂	5.0000000	10.27	11.49	14.81	20.82	26.50	-0.9965	0.2253
♂	6.0000000	10.09	11.35	14.91	21.96	29.53	-1.0721	0.2473
♂	7.0000000	9.78	11.13	15.12	23.83	34.59	-1.0587	0.2822
♂	8.0000000	9.64	11.15	15.79	26.68	41.40	-0.9631	0.3221
♂	9.0000000	9.79	11.55	17.08	30.50	48.96	-0.8249	0.3602
♂	10.0000000	10.09	12.14	18.72	34.76	56.12	-0.6887	0.3934
♂	11.0000000	10.51	12.85	20.40	38.79	62.51	-0.6008	0.4160
♂	12.0000000	10.79	13.25	21.23	40.93	66.74	-0.5915	0.4246
♂	13.0000000	10.77	13.13	20.86	40.55	68.03	-0.6495	0.4215
♂	14.0000000	10.58	12.76	19.89	38.70	67.06	-0.7395	0.4107
♂	15.0000000	10.53	12.57	19.23	36.81	63.95	-0.8039	0.3958
♂	16.0000000	10.87	12.92	19.47	36.09	60.25	-0.8064	0.3799
♂	17.0000000	11.35	13.46	20.08	35.86	56.69	-0.7696	0.3653
♂	18.0000000	12.05	14.26	21.05	36.34	54.79	-0.7300	0.3514
♀	0.3333333	12.85	14.62	18.74	24.16	27.71	-0.0943	0.1959
♀	0.4166667	12.77	14.53	18.64	24.07	27.63	-0.1013	0.1969
♀	0.5000000	12.68	14.44	18.54	23.98	27.56	-0.1083	0.1979
♀	0.5833333	12.59	14.34	18.43	23.87	27.46	-0.1153	0.1989
♀	0.6666667	12.50	14.25	18.33	23.78	27.38	-0.1224	0.1998
♀	0.7500000	12.42	14.15	18.23	23.68	27.30	-0.1294	0.2008
♀	0.8333333	12.34	14.06	18.13	23.59	27.22	-0.1364	0.2017
♀	0.9166667	12.25	13.97	18.03	23.49	27.14	-0.1434	0.2026
♀	1.0000000	12.18	13.89	17.94	23.41	27.07	-0.1504	0.2035
♀	2.0000000	11.59	13.23	17.21	22.77	26.62	-0.2356	0.2115
♀	3.0000000	11.52	13.14	17.16	22.97	27.13	-0.3224	0.2172
♀	4.0000000	11.50	13.14	17.28	23.51	28.15	-0.4074	0.2258
♀	5.0000000	11.29	12.95	17.27	24.13	29.54	-0.4877	0.2409
♀	6.0000000	11.02	12.73	17.35	25.22	31.89	-0.5569	0.2634
♀	7.0000000	10.89	12.72	17.87	27.44	36.39	-0.6069	0.2947
♀	8.0000000	10.99	12.99	18.88	30.82	43.19	-0.6309	0.3289
♀	9.0000000	11.35	13.57	20.32	35.00	51.54	-0.6313	0.3591
♀	10.0000000	11.80	14.24	21.81	38.92	59.08	-0.6135	0.3804
♀	11.0000000	12.31	14.93	23.13	41.67	63.34	-0.5816	0.3890
♀	12.0000000	12.99	15.80	24.47	43.41	64.40	-0.5372	0.3850
♀	13.0000000	13.90	16.91	26.02	44.82	64.11	-0.4804	0.3734
♀	14.0000000	14.99	18.24	27.81	46.36	63.94	-0.4135	0.3594
♀	15.0000000	16.12	19.63	29.64	47.89	63.99	-0.3407	0.3454
♀	16.0000000	17.21	20.97	31.41	49.40	64.30	-0.2650	0.3329
♀	17.0000000	18.09	22.12	33.07	51.11	65.36	-0.1902	0.3260
♀	18.0000000	18.80	23.11	34.65	53.03	67.03	-0.1195	0.3237

SFTRICEPS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.3333333	7.82	8.87	11.38	14.83	17.18	-0.2374	0.2003
♂	0.4166667	7.74	8.79	11.29	14.73	17.09	-0.2382	0.2013
♂	0.5000000	7.66	8.70	11.19	14.63	16.98	-0.2390	0.2024
♂	0.5833333	7.59	8.62	11.10	14.53	16.88	-0.2398	0.2034
♂	0.6666667	7.51	8.54	11.01	14.43	16.78	-0.2406	0.2044
♂	0.7500000	7.44	8.46	10.92	14.33	16.68	-0.2414	0.2054
♂	0.8333333	7.36	8.38	10.83	14.23	16.58	-0.2422	0.2064
♂	0.9166667	7.29	8.30	10.74	14.14	16.48	-0.2431	0.2074
♂	1.0000000	7.22	8.23	10.66	14.05	16.39	-0.2439	0.2084
♂	2.0000000	6.64	7.61	9.99	13.37	15.75	-0.2535	0.2194
♂	3.0000000	6.50	7.48	9.91	13.42	15.93	-0.2632	0.2276
♂	4.0000000	6.37	7.37	9.86	13.53	16.18	-0.2729	0.2364
♂	5.0000000	6.07	7.08	9.64	13.53	16.41	-0.2825	0.2521
♂	6.0000000	5.83	6.88	9.65	14.04	17.44	-0.2922	0.2772
♂	7.0000000	5.62	6.75	9.84	15.06	19.33	-0.3018	0.3116
♂	8.0000000	5.53	6.76	10.27	16.60	22.11	-0.3115	0.3481
♂	9.0000000	5.67	7.03	11.04	18.74	25.84	-0.3212	0.3796
♂	10.0000000	5.95	7.46	12.03	21.24	30.17	-0.3308	0.4045
♂	11.0000000	6.25	7.89	12.95	23.53	34.18	-0.3405	0.4217
♂	12.0000000	6.33	8.01	13.29	24.59	36.27	-0.3502	0.4319
♂	13.0000000	6.07	7.69	12.83	24.02	35.83	-0.3598	0.4381
♂	14.0000000	5.62	7.12	11.90	22.44	33.74	-0.3695	0.4413
♂	15.0000000	5.25	6.64	11.08	20.93	31.58	-0.3791	0.4411
♂	16.0000000	5.14	6.49	10.78	20.28	30.58	-0.3888	0.4373
♂	17.0000000	5.22	6.57	10.83	20.24	30.42	-0.3985	0.4320
♂	18.0000000	5.41	6.78	11.11	20.62	30.87	-0.4079	0.4264
♀	0.3333333	6.96	8.09	10.79	14.46	16.91	-0.0537	0.2264
♀	0.4166667	6.96	8.09	10.80	14.48	16.95	-0.0544	0.2271
♀	0.5000000	6.95	8.09	10.81	14.51	16.99	-0.0551	0.2279
♀	0.5833333	6.95	8.09	10.82	14.54	17.04	-0.0558	0.2287
♀	0.6666667	6.94	8.08	10.82	14.55	17.06	-0.0565	0.2294
♀	0.7500000	6.94	8.08	10.83	14.58	17.11	-0.0572	0.2302
♀	0.8333333	6.93	8.08	10.84	14.61	17.15	-0.0579	0.2309
♀	0.9166667	6.93	8.08	10.85	14.64	17.19	-0.0586	0.2316
♀	1.0000000	6.93	8.08	10.86	14.66	17.23	-0.0593	0.2323
♀	2.0000000	6.90	8.07	10.92	14.86	17.54	-0.0645	0.2380
♀	3.0000000	6.89	8.07	10.94	14.92	17.62	-0.0659	0.2394
♀	4.0000000	6.86	8.07	11.00	15.11	17.92	-0.0708	0.2448
♀	5.0000000	6.82	8.05	11.11	15.45	18.47	-0.0797	0.2542
♀	6.0000000	6.76	8.05	11.32	16.09	19.48	-0.0945	0.2699
♀	7.0000000	6.70	8.09	11.69	17.17	21.21	-0.1171	0.2935
♀	8.0000000	6.72	8.24	12.30	18.82	23.83	-0.1439	0.3219
♀	9.0000000	6.88	8.54	13.12	20.84	27.04	-0.1670	0.3476
♀	10.0000000	7.12	8.91	13.96	22.75	30.02	-0.1784	0.3651
♀	11.0000000	7.37	9.27	14.67	24.16	32.06	-0.1746	0.3729
♀	12.0000000	7.68	9.67	15.32	25.13	33.18	-0.1543	0.3717
♀	13.0000000	8.10	10.21	16.07	25.94	33.79	-0.1146	0.3635
♀	14.0000000	8.64	10.89	16.99	26.81	34.30	-0.0563	0.3515
♀	15.0000000	9.26	11.66	18.00	27.71	34.77	0.0147	0.3376
♀	16.0000000	9.86	12.43	19.02	28.63	35.34	0.0922	0.3253
♀	17.0000000	10.30	13.07	19.97	29.66	36.20	0.1700	0.3194
♀	18.0000000	10.60	13.57	20.84	30.74	37.23	0.2438	0.3180

kro.ref

Citations

• Kromeyer-Hauschild et al. Percentiles of body mass index in children and adolescents evaluated from different regional German studies

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.000	10.11	10.99	12.58	14.12	14.90	1.3386	0.0969
♀	0.083	11.90	12.71	14.29	15.94	16.83	0.6644	0.0880
♀	0.167	12.54	13.34	14.94	16.63	17.57	0.4524	0.0858
♀	0.250	13.01	13.81	15.41	17.14	18.11	0.2946	0.0844
♀	0.333	13.35	14.14	15.75	17.51	18.50	0.1689	0.0833
♀	0.417	13.60	14.38	15.99	17.77	18.78	0.0617	0.0824
♀	0.500	13.77	14.55	16.16	17.95	18.98	-0.0324	0.0818
♀	0.583	13.90	14.67	16.27	18.07	19.11	-0.1165	0.0813
♀	0.667	13.96	14.73	16.33	18.14	19.19	-0.1890	0.0811
♀	0.750	14.02	14.79	16.38	18.20	19.27	-0.2615	0.0810
♀	0.833	14.06	14.82	16.41	18.23	19.31	-0.3270	0.0810
♀	0.917	14.06	14.82	16.41	18.25	19.34	-0.3868	0.0811
♀	1.000	14.06	14.81	16.40	18.25	19.35	-0.4425	0.0814
♀	2.000	13.60	14.33	15.93	17.92	19.18	-0.9153	0.0871
♀	3.000	13.21	13.93	15.54	17.64	19.02	-1.1938	0.0915
♀	4.000	12.98	13.69	15.33	17.54	19.04	-1.3816	0.0955
♀	5.000	12.89	13.61	15.32	17.69	19.38	-1.5241	0.1009
♀	6.000	12.84	13.59	15.39	17.99	19.92	-1.6199	0.1075
♀	7.000	12.89	13.69	15.62	18.51	20.73	-1.6575	0.1153
♀	8.000	13.07	13.92	16.03	19.25	21.82	-1.6383	0.1235
♀	9.000	13.28	14.19	16.48	20.04	22.93	-1.5798	0.1313
♀	10.000	13.50	14.48	16.94	20.80	23.97	-1.5051	0.1379
♀	11.000	13.84	14.88	17.50	21.61	24.97	-1.4277	0.1423
♀	12.000	14.33	15.43	18.19	22.48	25.94	-1.3576	0.1437
♀	13.000	14.92	16.07	18.94	23.33	26.79	-1.2987	0.1426
♀	14.000	15.52	16.71	19.64	24.05	27.46	-1.2485	0.1398
♀	15.000	16.04	17.26	20.22	24.59	27.88	-1.2022	0.1360
♀	16.000	16.46	17.69	20.64	24.91	28.06	-1.1565	0.1319
♀	17.000	16.81	18.04	20.96	25.11	28.11	-1.1118	0.1277
♀	18.000	17.14	18.36	21.25	25.28	28.13	-1.0687	0.1236
♀	19.000	17.41	18.66	21.60	25.69	28.59	-1.0687	0.1236
♂	0.000	10.09	11.01	12.68	14.28	15.10	1.3057	0.1005
♂	0.083	12.24	13.05	14.70	16.54	17.59	0.1139	0.0925
♂	0.167	13.00	13.79	15.46	17.36	18.48	-0.1494	0.0897
♂	0.250	13.52	14.31	15.98	17.92	19.07	-0.3260	0.0876
♂	0.333	13.88	14.66	16.33	18.28	19.46	-0.4616	0.0860
♂	0.417	14.12	14.89	16.54	18.50	19.69	-0.5706	0.0847
♂	0.500	14.29	15.06	16.70	18.66	19.86	-0.6670	0.0836
♂	0.583	14.40	15.16	16.79	18.75	19.96	-0.7491	0.0828
♂	0.667	14.47	15.22	16.84	18.80	20.01	-0.8219	0.0822
♂	0.750	14.51	15.24	16.85	18.81	20.02	-0.8857	0.0817
♂	0.833	14.53	15.26	16.85	18.80	20.02	-0.9466	0.0812
♂	0.917	14.52	15.25	16.83	18.77	20.00	-1.0008	0.0809
♂	1.000	14.50	15.22	16.79	18.73	19.96	-1.0508	0.0807
♂	2.000	13.92	14.58	16.08	18.01	19.30	-1.4526	0.0818
♂	3.000	13.48	14.13	15.62	17.62	19.00	-1.6721	0.0852
♂	4.000	13.29	13.94	15.45	17.54	19.02	-1.8042	0.0885
♂	5.000	13.17	13.83	15.40	17.61	19.23	-1.8810	0.0927
♂	6.000	13.10	13.79	15.45	17.86	19.68	-1.9177	0.0989
♂	7.000	13.15	13.88	15.66	18.34	20.43	-1.9234	0.1062
♂	8.000	13.28	14.07	16.01	19.01	21.44	-1.9060	0.1143
♂	9.000	13.47	14.31	16.42	19.78	22.59	-1.8719	0.1226
♂	10.000	13.70	14.60	16.89	20.60	23.80	-1.8265	0.1300
♂	11.000	14.01	14.97	17.41	21.43	24.94	-1.7745	0.1356
♂	12.000	14.40	15.41	17.99	22.25	25.96	-1.7193	0.1387
♂	13.000	14.86	15.92	18.62	23.01	26.80	-1.6630	0.1395
♂	14.000	15.38	16.48	19.26	23.72	27.48	-1.6065	0.1383
♂	15.000	15.91	17.05	19.89	24.36	28.03	-1.5503	0.1358
♂	16.000	16.44	17.60	20.48	24.92	28.47	-1.4947	0.1327
♂	17.000	16.95	18.13	21.04	25.44	28.86	-1.4401	0.1295
♂	18.000	17.43	18.63	21.57	25.91	29.22	-1.3867	0.1265
♂	19.000	18.34	19.61	22.70	27.27	30.76	-1.3867	0.1265

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	-0.326	26.60	28.09	30.90	33.71	35.20	1.00	0.0710
♀	-0.307	27.55	29.09	32.00	34.91	36.45	1.00	0.0710
♀	-0.287	28.32	30.01	33.20	36.39	38.08	1.00	0.0750
♀	-0.268	29.29	31.10	34.50	37.90	39.71	1.00	0.0770
♀	-0.249	30.27	32.22	35.90	39.58	41.53	1.00	0.0800
♀	-0.230	31.38	33.43	37.30	41.17	43.22	1.00	0.0810
♀	-0.211	32.79	34.87	38.80	42.73	44.81	1.00	0.0790
♀	-0.192	34.10	36.21	39.94	43.40	45.14	1.83	0.0700
♀	-0.172	35.42	37.50	41.25	44.81	46.62	1.60	0.0690
♀	-0.153	36.96	38.97	42.69	46.31	48.19	1.31	0.0670
♀	-0.134	38.28	40.59	44.40	47.70	49.30	2.79	0.0620
♀	-0.115	40.15	42.11	45.61	48.90	50.57	1.84	0.0580
♀	-0.096	41.78	43.69	47.28	50.84	52.71	1.11	0.0590
♀	-0.077	43.69	45.33	48.36	51.29	52.80	1.54	0.0480
♀	-0.057	44.92	46.50	49.48	52.46	54.03	1.03	0.0470
♀	-0.038	45.95	47.49	50.40	53.31	54.85	1.00	0.0450
♀	-0.019	46.88	48.38	51.20	54.02	55.52	1.00	0.0430
♀	0.000	46.68	48.22	51.11	54.01	55.54	1.00	0.0442
♀	0.083	49.15	50.75	53.77	56.79	58.39	1.00	0.0438
♀	0.167	51.62	53.28	56.42	59.56	61.23	1.00	0.0434
♀	0.250	54.09	55.81	59.06	62.31	64.04	1.00	0.0430
♀	0.333	56.49	58.26	61.60	64.95	66.72	1.00	0.0424
♀	0.417	58.76	60.58	64.00	67.43	69.24	1.00	0.0418
♀	0.500	60.87	62.72	66.21	69.70	71.54	1.00	0.0411
♀	0.583	62.77	64.64	68.18	71.71	73.59	1.00	0.0405
♀	0.667	64.34	66.24	69.81	73.39	75.28	1.00	0.0400
♀	0.750	65.92	67.84	71.45	75.06	76.97	1.00	0.0395
♀	0.833	67.32	69.25	72.89	76.54	78.47	1.00	0.0390
♀	0.917	68.56	70.51	74.19	77.87	79.82	1.00	0.0387
♀	1.000	69.70	71.67	75.40	79.12	81.09	1.00	0.0385
♀	2.000	79.87	82.19	86.57	90.95	93.27	1.00	0.0395
♀	3.000	87.69	90.38	95.45	100.52	103.21	1.00	0.0415
♀	4.000	94.94	97.94	103.61	109.27	112.27	1.00	0.0427
♀	5.000	101.55	104.81	110.97	117.13	120.39	1.00	0.0433
♀	6.000	107.85	111.32	117.88	124.43	127.90	1.00	0.0434
♀	7.000	113.04	116.69	123.59	130.48	134.13	1.00	0.0435
♀	8.000	117.87	121.75	129.09	136.43	140.31	1.00	0.0444
♀	9.000	123.45	127.67	135.63	143.59	147.81	1.00	0.0458
♀	10.000	128.08	132.67	141.34	150.01	154.59	1.00	0.0479
♀	11.000	132.83	137.78	147.12	156.47	161.42	1.00	0.0496
♀	12.000	138.98	144.07	153.70	163.32	168.42	1.00	0.0489
♀	13.000	145.06	149.98	159.29	168.60	173.52	1.00	0.0456
♀	14.000	149.39	154.10	162.98	171.87	176.57	1.00	0.0425
♀	15.000	151.90	156.47	165.09	173.71	178.27	1.00	0.0407
♀	16.000	153.23	157.71	166.19	174.66	179.15	1.00	0.0398
♀	17.000	154.49	158.91	167.24	175.58	179.99	1.00	0.0389
♀	18.000	155.59	159.94	168.15	176.36	180.71	1.00	0.0381
♀	19.000	154.53	158.84	167.00	175.16	179.47	1.00	0.0381
♂	-0.326	26.75	28.22	31.00	33.78	35.25	1.00	0.0700
♂	-0.307	27.59	29.19	32.20	35.21	36.81	1.00	0.0730
♂	-0.287	28.51	30.24	33.50	36.76	38.49	1.00	0.0760
♂	-0.268	29.49	31.34	34.71	37.94	39.59	1.45	0.0740
♂	-0.249	30.48	32.50	36.22	39.84	41.72	1.28	0.0790
♂	-0.230	31.54	33.71	37.60	41.25	43.10	1.63	0.0780
♂	-0.211	32.76	34.98	38.85	42.38	44.14	1.96	0.0740
♂	-0.192	34.37	36.59	40.41	43.87	45.59	2.10	0.0700
♂	-0.172	35.66	37.95	41.87	45.39	47.13	2.21	0.0690
♂	-0.153	37.22	39.39	43.48	47.53	49.66	1.09	0.0730
♂	-0.134	38.82	41.00	45.10	49.20	51.38	1.00	0.0710
♂	-0.115	40.15	42.27	46.10	49.73	51.58	1.66	0.0630
♂	-0.096	42.54	44.30	47.61	50.89	52.62	1.10	0.0540
♂	-0.077	44.25	45.92	49.06	52.20	53.87	1.01	0.0500
♂	-0.057	45.29	47.01	50.07	52.92	54.36	2.19	0.0460
♂	-0.038	46.50	48.06	51.00	53.94	55.50	1.00	0.0450
♂	-0.019	47.54	49.01	51.80	54.59	56.06	1.00	0.0420
♂	0.000	46.83	48.46	51.54	54.61	56.24	1.00	0.0466
♂	0.083	49.64	51.34	54.56	57.78	59.48	1.00	0.0460
♂	0.167	52.48	54.25	57.61	60.96	62.74	1.00	0.0454
♂	0.250	55.27	57.11	60.59	64.07	65.91	1.00	0.0448
♂	0.333	57.84	59.74	63.32	66.90	68.79	1.00	0.0441
♂	0.417	60.12	62.05	65.71	69.37	71.31	1.00	0.0434
♂	0.500	62.19	64.16	67.88	71.60	73.57	1.00	0.0428
♂	0.583	63.98	65.97	69.74	73.50	75.49	1.00	0.0421
♂	0.667	65.56	67.57	71.38	75.18	77.19	1.00	0.0416
♂	0.750	66.96	68.99	72.83	76.66	78.69	1.00	0.0411
♂	0.833	68.31	70.36	74.22	78.09	80.13	1.00	0.0406
♂	0.917	69.54	71.60	75.50	79.40	81.46	1.00	0.0403
♂	1.000	70.71	72.79	76.72	80.65	82.74	1.00	0.0400
♂	2.000	81.25	83.61	88.07	92.52	94.88	1.00	0.0395
♂	3.000	88.75	91.42	96.47	101.52	104.19	1.00	0.0408
♂	4.000	95.50	98.47	104.07	109.68	112.65	1.00	0.0420
♂	5.000	102.29	105.54	111.68	117.82	121.07	1.00	0.0429
♂	6.000	108.43	111.89	118.43	124.97	128.43	1.00	0.0431
♂	7.000	113.86	117.51	124.40	131.28	134.93	1.00	0.0432
♂	8.000	118.80	122.65	129.93	137.21	141.07	1.00	0.0437
♂	9.000	124.31	128.49	136.40	144.31	148.49	1.00	0.0452
♂	10.000	128.43	132.99	141.62	150.25	154.82	1.00	0.0475
♂	11.000	131.89	136.84	146.20	155.56	160.52	1.00	0.0500
♂	12.000	136.23	141.63	151.82	162.02	167.42	1.00	0.0524
♂	13.000	142.41	148.19	159.12	170.05	175.83	1.00	0.0536
♂	14.000	149.76	155.56	166.50	177.45	183.25	1.00	0.0513
♂	15.000	156.81	162.27	172.59	182.90	188.36	1.00	0.0466
♂	16.000	161.88	166.97	176.60	186.23	191.32	1.00	0.0425
♂	17.000	165.39	170.20	179.28	188.36	193.17	1.00	0.0395
♂	18.000	167.31	171.95	180.72	189.48	194.12	1.00	0.0378
♂	19.000	167.57	172.22	181.00	189.78	194.43	1.00	0.0378

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	-0.326	0.38	0.45	0.58	0.70	0.76	1.3500	0.1630
♀	-0.307	0.43	0.52	0.67	0.80	0.87	1.5900	0.1630
♀	-0.287	0.49	0.58	0.76	0.94	1.03	1.0000	0.1820
♀	-0.268	0.52	0.66	0.88	1.07	1.16	1.6400	0.1790
♀	-0.249	0.57	0.74	1.00	1.22	1.33	1.6500	0.1870
♀	-0.230	0.63	0.82	1.12	1.39	1.52	1.5200	0.1970
♀	-0.211	0.69	0.90	1.25	1.56	1.71	1.4900	0.2020
♀	-0.192	0.77	1.02	1.42	1.77	1.94	1.5300	0.2030
♀	-0.172	0.81	1.11	1.59	2.01	2.22	1.4900	0.2200
♀	-0.153	1.00	1.31	1.79	2.19	2.38	1.7400	0.1890
♀	-0.134	1.14	1.49	2.03	2.49	2.72	1.6500	0.1910
♀	-0.115	1.37	1.70	2.27	2.78	3.04	1.4200	0.1840
♀	-0.096	1.68	1.98	2.55	3.12	3.42	1.0000	0.1740
♀	-0.077	1.89	2.20	2.76	3.31	3.60	1.1200	0.1570
♀	-0.057	2.14	2.43	2.97	3.51	3.80	1.0000	0.1430
♀	-0.038	2.37	2.64	3.16	3.69	3.98	0.8900	0.1300
♀	-0.019	2.52	2.79	3.32	3.85	4.13	0.9700	0.1240
♀	0.000	2.39	2.71	3.31	3.89	4.19	1.1294	0.1385
♀	0.083	2.95	3.33	4.04	4.75	5.12	1.0403	0.1373
♀	0.167	3.50	3.93	4.76	5.59	6.04	0.9523	0.1361
♀	0.250	4.03	4.52	5.45	6.40	6.91	0.8661	0.1350
♀	0.333	4.54	5.06	6.09	7.15	7.73	0.7829	0.1339
♀	0.417	5.00	5.56	6.66	7.83	8.46	0.7035	0.1328
♀	0.500	5.42	6.01	7.19	8.44	9.13	0.6283	0.1319
♀	0.583	5.80	6.41	7.65	8.98	9.73	0.5577	0.1311
♀	0.667	6.12	6.76	8.04	9.44	10.23	0.4946	0.1304
♀	0.750	6.44	7.10	8.44	9.91	10.74	0.4315	0.1298
♀	0.833	6.73	7.40	8.79	10.32	11.20	0.3739	0.1294
♀	0.917	6.99	7.68	9.11	10.70	11.61	0.3215	0.1290
♀	1.000	7.24	7.94	9.40	11.05	12.00	0.2731	0.1288
♀	2.000	9.32	10.15	11.97	14.15	15.49	-0.1032	0.1296
♀	3.000	11.03	11.99	14.15	16.86	18.59	-0.3534	0.1329
♀	4.000	12.75	13.86	16.40	19.76	22.00	-0.5687	0.1380
♀	5.000	14.57	15.85	18.87	23.07	26.02	-0.7581	0.1455
♀	6.000	16.32	17.78	21.33	26.49	30.30	-0.8816	0.1540
♀	7.000	17.94	19.61	23.72	29.91	34.61	-0.9255	0.1627
♀	8.000	19.88	21.83	26.71	34.17	39.94	-0.8910	0.1725
♀	9.000	22.24	24.57	30.40	39.28	46.09	-0.7914	0.1809
♀	10.000	24.26	26.99	33.81	44.15	52.03	-0.6901	0.1902
♀	11.000	26.47	29.69	37.74	49.82	58.87	-0.5667	0.2005
♀	12.000	29.86	33.62	42.86	56.24	65.89	-0.4426	0.1999
♀	13.000	34.39	38.45	48.24	61.98	71.61	-0.4223	0.1857
♀	14.000	38.61	42.76	52.67	66.46	76.06	-0.4979	0.1714
♀	15.000	41.88	46.00	55.76	69.25	78.63	-0.5835	0.1589
♀	16.000	43.91	47.94	57.41	70.39	79.33	-0.6328	0.1492
♀	17.000	45.08	49.04	58.32	70.92	79.56	-0.6624	0.1432
♀	18.000	45.81	49.73	58.87	71.24	79.67	-0.6813	0.1395
♀	19.000	47.08	51.11	60.50	73.21	81.88	-0.6813	0.1395
♂	-0.326	0.40	0.47	0.60	0.72	0.78	1.3600	0.1580
♂	-0.307	0.46	0.54	0.69	0.84	0.92	1.0000	0.1690
♂	-0.287	0.51	0.62	0.80	0.95	1.03	1.7400	0.1610
♂	-0.268	0.56	0.71	0.94	1.12	1.20	2.1500	0.1630
♂	-0.249	0.62	0.82	1.08	1.28	1.36	2.4700	0.1610
♂	-0.230	0.69	0.92	1.22	1.45	1.55	2.4700	0.1640
♂	-0.211	0.72	0.98	1.35	1.63	1.76	2.1900	0.1820
♂	-0.192	0.84	1.13	1.52	1.82	1.96	2.2700	0.1730
♂	-0.172	0.94	1.22	1.69	2.13	2.35	1.2800	0.2100
♂	-0.153	1.06	1.40	1.89	2.29	2.47	1.9500	0.1800
♂	-0.134	1.21	1.57	2.13	2.60	2.82	1.7400	0.1850
♂	-0.115	1.44	1.80	2.39	2.89	3.14	1.6600	0.1760
♂	-0.096	1.75	2.06	2.64	3.21	3.51	1.0500	0.1700
♂	-0.077	2.04	2.32	2.86	3.40	3.68	1.0000	0.1470
♂	-0.057	2.27	2.55	3.09	3.63	3.91	1.0000	0.1360
♂	-0.038	2.47	2.76	3.30	3.84	4.13	0.9800	0.1280
♂	-0.019	2.65	2.93	3.47	4.01	4.29	1.0000	0.1210
♂	0.000	2.38	2.74	3.40	4.03	4.35	1.2044	0.1475
♂	0.083	3.03	3.46	4.27	5.05	5.47	1.1145	0.1452
♂	0.167	3.69	4.19	5.13	6.07	6.57	1.0256	0.1430
♂	0.250	4.33	4.89	5.96	7.04	7.61	0.9391	0.1409
♂	0.333	4.90	5.51	6.68	7.89	8.54	0.8567	0.1389
♂	0.417	5.40	6.05	7.31	8.61	9.32	0.7796	0.1371
♂	0.500	5.86	6.53	7.86	9.26	10.03	0.7064	0.1355
♂	0.583	6.26	6.95	8.34	9.82	10.64	0.6392	0.1341
♂	0.667	6.61	7.33	8.77	10.31	11.17	0.5771	0.1330
♂	0.750	6.92	7.66	9.14	10.75	11.65	0.5212	0.1320
♂	0.833	7.22	7.97	9.50	11.16	12.10	0.4676	0.1311
♂	0.917	7.49	8.26	9.82	11.54	12.52	0.4196	0.1304
♂	1.000	7.74	8.52	10.12	11.89	12.90	0.3756	0.1298
♂	2.000	9.69	10.58	12.47	14.68	15.99	0.0535	0.1277
♂	3.000	11.28	12.27	14.43	17.07	18.69	-0.1811	0.1289
♂	4.000	13.14	14.26	16.80	20.05	22.15	-0.4464	0.1326
♂	5.000	15.00	16.26	19.22	23.23	25.98	-0.7156	0.1384
♂	6.000	16.78	18.19	21.58	26.47	30.05	-0.9503	0.1449
♂	7.000	18.63	20.20	24.09	29.99	34.55	-1.1041	0.1517
♂	8.000	20.65	22.44	26.96	34.03	39.71	-1.1569	0.1593
♂	9.000	22.98	25.10	30.49	39.07	46.11	-1.1079	0.1693
♂	10.000	24.97	27.46	33.82	43.97	52.24	-0.9849	0.1805
♂	11.000	26.82	29.75	37.23	49.00	58.37	-0.8183	0.1920
♂	12.000	29.02	32.57	41.54	55.37	66.03	-0.6263	0.2052
♂	13.000	32.19	36.50	47.26	63.32	75.20	-0.4500	0.2139
♂	14.000	37.04	41.94	53.91	71.07	83.26	-0.3626	0.2052
♂	15.000	42.75	47.78	59.86	76.73	88.47	-0.4107	0.1842
♂	16.000	47.98	52.81	64.31	80.29	91.43	-0.5721	0.1626
♂	17.000	52.30	56.97	68.02	83.29	93.92	-0.7041	0.1473
♂	18.000	55.08	59.73	70.62	85.44	95.62	-0.7229	0.1389
♂	19.000	57.64	62.51	73.90	89.41	100.07	-0.7229	0.1389

WAIST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	6	45.26	46.88	50.57	55.56	59.02	-2.5172	0.0653
♀	7	46.36	48.16	52.34	58.18	62.39	-2.5172	0.0724
♀	8	47.41	49.32	53.83	60.23	64.96	-2.5172	0.0764
♀	9	48.46	50.49	55.33	62.31	67.58	-2.5172	0.0802
♀	10	49.32	51.49	56.72	64.48	70.51	-2.5172	0.0855
♀	11	51.14	53.47	59.17	67.79	74.68	-2.5172	0.0899
♀	12	53.55	56.02	62.04	71.22	78.59	-2.5172	0.0909
♀	13	55.21	57.70	63.74	72.82	80.00	-2.5172	0.0883
♀	14	55.94	58.39	64.26	72.93	79.64	-2.5172	0.0846
♀	15	56.40	58.80	64.55	72.95	79.34	-2.5172	0.0821
♀	16	57.06	59.46	65.17	73.43	79.68	-2.5172	0.0805
♀	17	58.03	60.46	66.25	74.62	80.93	-2.5172	0.0802
♀	18	58.76	61.22	67.09	75.58	81.98	-2.5172	0.0803
♂	6	47.20	48.81	52.51	57.50	60.98	-2.6649	0.0629
♂	7	48.09	49.88	54.05	59.87	64.09	-2.6649	0.0699
♂	8	49.09	51.04	55.68	62.37	67.40	-2.6649	0.0764
♂	9	50.19	52.30	57.38	64.90	70.77	-2.6649	0.0820
♂	10	51.34	53.60	59.09	67.45	74.17	-2.6649	0.0870
♂	11	52.66	55.05	60.93	70.07	77.61	-2.6649	0.0910
♂	12	54.23	56.75	62.98	72.78	81.04	-2.6649	0.0937
♂	13	56.01	58.63	65.14	75.45	84.21	-2.6649	0.0949
♂	14	57.91	60.61	67.32	77.94	86.93	-2.6649	0.0946
♂	15	59.75	62.50	69.32	80.00	88.96	-2.6649	0.0930
♂	16	61.51	64.30	71.14	81.74	90.48	-2.6649	0.0906
♂	17	63.18	65.98	72.81	83.27	91.73	-2.6649	0.0880
♂	18	64.66	67.48	74.34	84.74	93.05	-2.6649	0.0862

life_circ.ref

Citations

• Roennecke E, Vogel M, Bussler S, Grafe N, Jurkutat A, Schlingmann M, Koerner A, Kiess W. Age- and sex-related percentiles of skinfold thickness, waist and hip circumference, Waist-to- Hip Ratio and Waist-to-Height Ratio: Results from a population-based paediatric cohort in Germany (LIFE Child). Obesity Facts. 2019.

THIGH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	3	24.28	25.17	27.39	30.88	33.87	0.0765	-3.5034
♂	4	25.32	26.29	28.63	32.10	34.83	0.0757	-2.9968
♂	5	26.31	27.38	29.90	33.50	36.17	0.0770	-2.5500
♂	6	27.26	28.46	31.27	35.24	38.14	0.0818	-2.2394
♂	7	28.28	29.64	32.87	37.50	40.94	0.0901	-2.0683
♂	8	29.42	30.97	34.73	40.29	44.57	0.1004	-1.9877
♂	9	30.71	32.45	36.74	43.32	48.61	0.1098	-1.9712
♂	10	32.22	34.11	38.83	46.26	52.43	0.1154	-1.9872
♂	11	33.80	35.81	40.83	48.73	55.31	0.1167	-1.9633
♂	12	35.35	37.46	42.69	50.81	57.44	0.1157	-1.9030
♂	13	36.93	39.11	44.49	52.70	59.24	0.1135	-1.8415
♂	14	38.62	40.86	46.32	54.45	60.75	0.1096	-1.7904
♂	15	40.30	42.60	48.11	56.14	62.17	0.1057	-1.7249
♂	16	41.73	44.11	49.74	57.71	63.50	0.1033	-1.5824
♂	17	42.86	45.37	51.21	59.19	64.76	0.1027	-1.3447
♂	18	43.82	46.51	52.64	60.70	66.10	0.1032	-1.0621
♀	3	24.11	25.20	27.54	30.38	32.14	0.0728	-1.0460
♀	4	24.80	25.99	28.63	31.97	34.14	0.0804	-1.2849
♀	5	25.66	26.95	29.88	33.74	36.35	0.0869	-1.4681
♀	6	26.62	28.01	31.22	35.56	38.56	0.0920	-1.5374
♀	7	27.70	29.21	32.73	37.55	40.91	0.0968	-1.4881
♀	8	28.96	30.63	34.52	39.84	43.54	0.1014	-1.3713
♀	9	30.34	32.19	36.49	42.31	46.34	0.1056	-1.2332
♀	10	31.67	33.72	38.49	44.95	49.39	0.1111	-1.1083
♀	11	32.92	35.20	40.52	47.78	52.82	0.1182	-1.0424
♀	12	34.29	36.75	42.55	50.58	56.23	0.1235	-1.0390
♀	13	35.89	38.45	44.50	52.92	58.89	0.1235	-1.0747
♀	14	37.52	40.08	46.12	54.47	60.36	0.1185	-1.1198
♀	15	38.90	41.40	47.24	55.22	60.78	0.1113	-1.1720
♀	16	39.92	42.31	47.85	55.31	60.43	0.1035	-1.2331
♀	17	40.57	42.84	48.02	54.92	59.60	0.0961	-1.2944
♀	18	40.99	43.12	47.95	54.27	58.50	0.0890	-1.3485

WAIST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	3	44.91	46.21	49.13	52.88	55.38	0.0520	-2.7584
♂	4	45.64	47.01	50.10	54.14	56.87	0.0544	-2.7954
♂	5	46.44	47.88	51.15	55.50	58.48	0.0568	-2.8454
♂	6	47.29	48.81	52.33	57.15	60.56	0.0604	-2.9833
♂	7	48.30	49.93	53.80	59.38	63.59	0.0659	-3.2374
♂	8	49.54	51.30	55.63	62.29	67.82	0.0729	-3.5048
♂	9	50.85	52.79	57.67	65.76	73.20	0.0815	-3.6480
♂	10	52.18	54.33	59.87	69.58	79.29	0.0909	-3.6155
♂	11	53.50	55.87	62.05	73.16	84.64	0.0987	-3.4323
♂	12	54.92	57.49	64.18	76.09	88.19	0.1030	-3.1793
♂	13	56.63	59.36	66.37	78.38	89.84	0.1030	-2.9174
♂	14	58.63	61.46	68.57	80.09	90.22	0.0992	-2.6793
♂	15	60.81	63.67	70.72	81.57	90.41	0.0937	-2.4996
♂	16	63.02	65.91	72.87	83.13	91.04	0.0883	-2.3618
♂	17	65.26	68.17	75.07	84.88	92.11	0.0839	-2.2241
♂	18	67.54	70.49	77.35	86.81	93.53	0.0800	-2.0875
♀	3	44.33	45.57	48.36	51.98	54.41	0.0507	-2.9845
♀	4	45.03	46.35	49.43	53.69	56.76	0.0561	-3.4603
♀	5	45.63	47.03	50.39	55.33	59.20	0.0615	-3.8140
♀	6	46.34	47.82	51.45	57.06	61.75	0.0662	-3.9845
♀	7	47.19	48.79	52.77	59.15	64.76	0.0717	-3.9708
♀	8	48.10	49.87	54.34	61.77	68.64	0.0792	-3.8121
♀	9	49.12	51.10	56.17	64.86	73.25	0.0879	-3.5865
♀	10	50.32	52.53	58.25	68.30	78.32	0.0965	-3.3579
♀	11	51.70	54.14	60.52	71.92	83.59	0.1043	-3.1621
♀	12	53.40	56.02	62.85	75.12	87.67	0.1078	-3.0450
♀	13	55.46	58.12	65.03	77.22	89.39	0.1047	-3.0493
♀	14	57.42	60.01	66.67	78.15	89.27	0.0976	-3.1795
♀	15	58.92	61.36	67.61	78.25	88.38	0.0898	-3.4290
♀	16	59.90	62.17	67.96	77.73	86.98	0.0825	-3.7622
♀	17	60.51	62.60	67.88	76.73	85.03	0.0752	-4.1335
♀	18	60.95	62.86	67.64	75.53	82.78	0.0679	-4.5113

HIP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	3	46.21	47.65	50.94	55.35	58.40	0.0575	-2.8970
♂	4	48.58	50.09	53.52	58.12	61.30	0.0571	-2.9387
♂	5	50.95	52.52	56.12	60.95	64.32	0.0571	-3.0037
♂	6	53.24	54.92	58.81	64.17	67.99	0.0595	-3.1106
♂	7	55.45	57.31	61.71	68.01	72.73	0.0651	-3.2083
♂	8	57.64	59.75	64.85	72.47	78.52	0.0730	-3.2074
♂	9	59.85	62.26	68.17	77.32	84.88	0.0815	-3.0545
♂	10	62.13	64.88	71.66	82.23	91.02	0.0893	-2.7637
♂	11	64.50	67.59	75.16	86.69	95.96	0.0943	-2.4001
♂	12	67.09	70.47	78.61	90.59	99.77	0.0958	-2.0847
♂	13	70.20	73.72	82.08	93.96	102.69	0.0930	-1.9131
♂	14	73.90	77.36	85.45	96.68	104.71	0.0856	-1.9482
♂	15	77.65	80.91	88.48	98.90	106.28	0.0771	-2.1831
♂	16	80.79	83.86	91.01	100.88	107.95	0.0708	-2.5131
♂	17	83.26	86.21	93.12	102.80	109.85	0.0673	-2.8495
♂	18	85.37	88.24	95.04	104.75	112.01	0.0653	-3.1802
♀	3	46.73	48.31	51.75	56.00	58.69	0.0573	-1.8389
♀	4	49.02	50.70	54.51	59.48	62.82	0.0616	-2.3518
♀	5	51.23	53.03	57.20	62.91	66.96	0.0655	-2.6849
♀	6	53.41	55.36	59.94	66.36	71.05	0.0693	-2.7522
♀	7	55.62	57.79	62.89	70.10	75.39	0.0738	-2.5907
♀	8	57.84	60.31	66.11	74.28	80.24	0.0798	-2.2901
♀	9	60.16	62.98	69.61	78.82	85.43	0.0861	-1.9535
♀	10	62.75	65.97	73.47	83.78	91.05	0.0920	-1.6655
♀	11	65.64	69.27	77.72	89.26	97.34	0.0978	-1.4683
♀	12	69.08	73.02	82.17	94.68	103.40	0.1002	-1.3991
♀	13	73.24	77.23	86.46	98.98	107.67	0.0958	-1.4626
♀	14	77.50	81.29	90.00	101.71	109.77	0.0865	-1.6409
♀	15	81.00	84.49	92.48	103.22	110.63	0.0772	-1.9506
♀	16	83.30	86.47	93.80	103.76	110.74	0.0700	-2.3736
♀	17	84.50	87.40	94.13	103.46	110.15	0.0646	-2.8584
♀	18	85.14	87.79	93.98	102.68	109.06	0.0598	-3.3568

WHR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	3	0.87	0.90	0.96	1.03	1.08	0.0530	-2.1647
♂	4	0.85	0.88	0.93	1.00	1.04	0.0494	-1.3984
♂	5	0.83	0.86	0.91	0.97	1.00	0.0461	-0.6152
♂	6	0.82	0.84	0.89	0.94	0.97	0.0443	-0.0446
♂	7	0.80	0.83	0.87	0.92	0.95	0.0435	0.0147
♂	8	0.79	0.81	0.86	0.91	0.94	0.0435	-0.4241
♂	9	0.78	0.80	0.85	0.90	0.93	0.0448	-1.1059
♂	10	0.77	0.79	0.84	0.89	0.93	0.0473	-1.8698
♂	11	0.76	0.78	0.83	0.89	0.93	0.0491	-2.5713
♂	12	0.75	0.78	0.82	0.88	0.92	0.0496	-3.0485
♂	13	0.75	0.77	0.81	0.87	0.91	0.0491	-3.2172
♂	14	0.74	0.76	0.81	0.86	0.90	0.0481	-3.0370
♂	15	0.74	0.76	0.80	0.85	0.89	0.0470	-2.5931
♂	16	0.74	0.76	0.80	0.85	0.89	0.0464	-2.0129
♂	17	0.74	0.76	0.81	0.86	0.89	0.0467	-1.3522
♂	18	0.74	0.77	0.81	0.87	0.90	0.0477	-0.6619
♀	3	0.85	0.88	0.93	1.00	1.03	0.0491	-1.2502
♀	4	0.83	0.86	0.91	0.97	1.00	0.0476	-1.3064
♀	5	0.81	0.83	0.88	0.94	0.97	0.0460	-1.3727
♀	6	0.79	0.81	0.86	0.91	0.95	0.0451	-1.5244
♀	7	0.77	0.80	0.84	0.89	0.93	0.0453	-1.7534
♀	8	0.76	0.78	0.83	0.88	0.91	0.0467	-1.9953
♀	9	0.74	0.76	0.81	0.87	0.90	0.0494	-2.2197
♀	10	0.73	0.75	0.80	0.86	0.90	0.0524	-2.4544
♀	11	0.71	0.74	0.79	0.85	0.89	0.0548	-2.7492
♀	12	0.70	0.72	0.77	0.84	0.88	0.0561	-3.0925
♀	13	0.69	0.71	0.76	0.82	0.87	0.0556	-3.4986
♀	14	0.68	0.70	0.74	0.81	0.85	0.0540	-3.9498
♀	15	0.67	0.69	0.73	0.80	0.84	0.0529	-4.4042
♀	16	0.67	0.68	0.73	0.79	0.84	0.0522	-4.8363
♀	17	0.66	0.68	0.72	0.78	0.83	0.0516	-5.2406
♀	18	0.66	0.68	0.72	0.78	0.83	0.0507	-5.6186

WHTR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	3	0.46	0.48	0.51	0.55	0.57	0.0513	-2.0646
♂	4	0.44	0.45	0.48	0.52	0.54	0.0534	-2.1638
♂	5	0.42	0.43	0.46	0.50	0.52	0.0555	-2.2955
♂	6	0.40	0.41	0.44	0.48	0.51	0.0586	-2.5849
♂	7	0.39	0.40	0.43	0.47	0.50	0.0625	-3.1136
♂	8	0.38	0.39	0.42	0.47	0.51	0.0662	-3.7797
♂	9	0.38	0.39	0.42	0.47	0.52	0.0704	-4.3860
♂	10	0.38	0.39	0.42	0.48	0.54	0.0758	-4.8330
♂	11	0.37	0.38	0.42	0.48	0.55	0.0809	-5.0880
♂	12	0.37	0.38	0.41	0.48	0.56	0.0847	-5.1430
♂	13	0.36	0.38	0.41	0.48	0.56	0.0866	-4.9873
♂	14	0.36	0.37	0.41	0.47	0.55	0.0872	-4.6290
♂	15	0.36	0.37	0.41	0.47	0.54	0.0869	-4.1365
♂	16	0.36	0.37	0.41	0.47	0.53	0.0861	-3.5900
♂	17	0.37	0.38	0.42	0.48	0.53	0.0847	-3.0357
♂	18	0.37	0.39	0.43	0.48	0.53	0.0826	-2.4915
♀	3	0.46	0.48	0.51	0.54	0.57	0.0510	-2.0008
♀	4	0.44	0.45	0.48	0.52	0.55	0.0556	-2.7742
♀	5	0.42	0.43	0.46	0.50	0.53	0.0594	-3.4083
♀	6	0.40	0.41	0.44	0.49	0.52	0.0622	-3.8269
♀	7	0.39	0.40	0.43	0.48	0.51	0.0657	-4.0283
♀	8	0.38	0.39	0.42	0.47	0.52	0.0713	-4.0329
♀	9	0.37	0.38	0.41	0.47	0.52	0.0785	-3.8939
♀	10	0.36	0.37	0.41	0.47	0.53	0.0865	-3.6993
♀	11	0.35	0.37	0.41	0.48	0.55	0.0943	-3.5221
♀	12	0.35	0.37	0.41	0.48	0.55	0.0989	-3.3914
♀	13	0.35	0.37	0.41	0.48	0.55	0.0990	-3.3175
♀	14	0.35	0.37	0.41	0.48	0.55	0.0958	-3.3266
♀	15	0.36	0.37	0.41	0.47	0.54	0.0908	-3.4520
♀	16	0.36	0.37	0.41	0.47	0.53	0.0847	-3.6642
♀	17	0.36	0.37	0.41	0.46	0.51	0.0779	-3.9086
♀	18	0.36	0.38	0.41	0.46	0.50	0.0714	-4.1457

nl3.ref

Citations

• Fredriks, A. M. et al. Continuing positive secular growth change in The Netherlands 1955–1997. Pediatric research 47, 316–323 (2000).
• Fredriks, A.M., van Buuren, S., Wit, J.M., Verloove-Vanhorick, S.P., 2000. Body index measurements in 1996–7 compared with 1980. Archives of disease in childhood 82, 107–112.

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0383	11.19	11.80	13.08	14.55	15.42	-0.3218	0.0816
♂	0.0575	11.58	12.22	13.55	15.10	16.01	-0.3322	0.0825
♂	0.0767	11.99	12.62	13.94	15.45	16.33	-0.3402	0.0787
♂	0.0958	12.30	12.93	14.25	15.76	16.64	-0.3462	0.0770
♂	0.1150	12.54	13.18	14.52	16.05	16.94	-0.3510	0.0768
♂	0.1342	12.73	13.38	14.75	16.32	17.24	-0.3548	0.0773
♂	0.1533	12.88	13.55	14.95	16.56	17.51	-0.3574	0.0783
♂	0.1725	13.00	13.69	15.13	16.78	17.75	-0.3591	0.0794
♂	0.1916	13.11	13.81	15.28	16.97	17.97	-0.3604	0.0803
♂	0.2300	13.31	14.02	15.53	17.26	18.29	-0.3619	0.0811
♂	0.2683	13.48	14.21	15.73	17.49	18.53	-0.3632	0.0810
♂	0.3066	13.64	14.37	15.90	17.67	18.71	-0.3642	0.0806
♂	0.3450	13.78	14.51	16.05	17.81	18.86	-0.3647	0.0800
♂	0.3833	13.90	14.63	16.17	17.93	18.97	-0.3645	0.0794
♂	0.4216	14.00	14.73	16.27	18.03	19.07	-0.3639	0.0788
♂	0.4600	14.10	14.83	16.37	18.13	19.16	-0.3633	0.0782
♂	0.4983	14.19	14.92	16.46	18.21	19.25	-0.3628	0.0777
♂	0.5366	14.28	15.01	16.55	18.30	19.33	-0.3629	0.0773
♂	0.6133	14.44	15.17	16.72	18.48	19.51	-0.3655	0.0768
♂	0.6899	14.58	15.32	16.87	18.64	19.68	-0.3713	0.0765
♂	0.7666	14.71	15.45	17.00	18.77	19.81	-0.3797	0.0759
♂	0.8433	14.81	15.55	17.09	18.85	19.88	-0.3899	0.0750
♂	0.9199	14.89	15.62	17.15	18.91	19.94	-0.4014	0.0744
♂	0.9966	14.93	15.66	17.19	18.94	19.97	-0.4137	0.0742
♂	2.0000	14.32	15.05	16.59	18.39	19.48	-0.5808	0.0783
♂	3.0000	13.88	14.53	15.90	17.51	18.49	-0.7383	0.0728
♂	4.0000	13.64	14.25	15.54	17.08	18.02	-0.8805	0.0706
♂	5.0000	13.43	14.03	15.33	16.89	17.85	-0.9990	0.0721
♂	6.0000	13.28	13.89	15.23	16.87	17.90	-1.1015	0.0754
♂	7.0000	13.21	13.85	15.27	17.06	18.20	-1.1917	0.0807
♂	8.0000	13.23	13.91	15.45	17.44	18.75	-1.2685	0.0876
♂	9.0000	13.35	14.08	15.74	17.96	19.47	-1.3343	0.0943
♂	10.0000	13.57	14.34	16.13	18.58	20.28	-1.3900	0.0999
♂	11.0000	13.87	14.68	16.60	19.26	21.16	-1.4352	0.1046
♂	12.0000	14.24	15.09	17.12	19.97	22.04	-1.4706	0.1078
♂	13.0000	14.68	15.57	17.68	20.69	22.89	-1.4982	0.1093
♂	14.0000	15.17	16.08	18.26	21.37	23.65	-1.5198	0.1091
♂	15.0000	15.70	16.63	18.84	22.00	24.31	-1.5370	0.1075
♂	16.0000	16.23	17.17	19.41	22.59	24.91	-1.5514	0.1054
♂	17.0000	16.74	17.70	19.96	23.16	25.47	-1.5639	0.1033
♂	18.0000	17.24	18.21	20.49	23.69	26.00	-1.5752	0.1013
♂	19.0000	17.70	18.68	20.98	24.20	26.50	-1.5857	0.0995
♂	20.0000	18.15	19.13	21.45	24.68	26.99	-1.5957	0.0980
♀	0.0383	11.27	11.88	13.08	14.36	15.07	0.3364	0.0740
♀	0.0575	11.52	12.14	13.38	14.68	15.40	0.4319	0.0740
♀	0.0767	11.74	12.39	13.66	14.99	15.73	0.4907	0.0745
♀	0.0958	11.95	12.61	13.93	15.30	16.05	0.5262	0.0752
♀	0.1150	12.13	12.82	14.17	15.58	16.35	0.5469	0.0760
♀	0.1342	12.30	13.01	14.39	15.84	16.63	0.5563	0.0768
♀	0.1533	12.46	13.19	14.61	16.09	16.90	0.5565	0.0775
♀	0.1725	12.61	13.35	14.80	16.32	17.15	0.5498	0.0782
♀	0.1916	12.74	13.50	14.98	16.53	17.38	0.5379	0.0789
♀	0.2300	12.98	13.75	15.27	16.88	17.76	0.5026	0.0799
♀	0.2683	13.18	13.96	15.52	17.16	18.07	0.4571	0.0804
♀	0.3066	13.35	14.14	15.72	17.39	18.32	0.4070	0.0806
♀	0.3450	13.49	14.29	15.88	17.57	18.52	0.3553	0.0807
♀	0.3833	13.62	14.42	16.01	17.73	18.68	0.3033	0.0806
♀	0.4216	13.73	14.53	16.13	17.86	18.82	0.2516	0.0804
♀	0.4600	13.84	14.63	16.23	17.97	18.95	0.2007	0.0802
♀	0.4983	13.93	14.72	16.33	18.08	19.06	0.1508	0.0800
♀	0.5366	14.02	14.81	16.41	18.17	19.17	0.1022	0.0799
♀	0.6133	14.17	14.96	16.56	18.34	19.35	0.0099	0.0795
♀	0.6899	14.30	15.08	16.68	18.47	19.50	-0.0750	0.0791
♀	0.7666	14.40	15.17	16.77	18.57	19.61	-0.1526	0.0788
♀	0.8433	14.46	15.23	16.83	18.63	19.68	-0.2235	0.0786
♀	0.9199	14.50	15.27	16.86	18.67	19.72	-0.2888	0.0784
♀	0.9966	14.52	15.28	16.86	18.68	19.75	-0.3495	0.0783
♀	2.0000	14.06	14.74	16.21	17.99	19.09	-0.8967	0.0776
♀	3.0000	13.63	14.27	15.67	17.42	18.53	-1.2056	0.0775
♀	4.0000	13.35	13.98	15.37	17.16	18.32	-1.3961	0.0795
♀	5.0000	13.12	13.75	15.19	17.06	18.32	-1.5093	0.0834
♀	6.0000	12.97	13.63	15.13	17.16	18.55	-1.5636	0.0889
♀	7.0000	12.95	13.64	15.25	17.47	19.03	-1.5752	0.0953
♀	8.0000	13.03	13.77	15.51	17.95	19.70	-1.5572	0.1019
♀	9.0000	13.22	14.01	15.88	18.55	20.50	-1.5204	0.1079
♀	10.0000	13.50	14.34	16.35	19.24	21.36	-1.4731	0.1128
♀	11.0000	13.87	14.76	16.90	19.99	22.27	-1.4202	0.1165
♀	12.0000	14.29	15.23	17.49	20.76	23.16	-1.3639	0.1190
♀	13.0000	14.74	15.73	18.11	21.51	24.00	-1.3053	0.1203
♀	14.0000	15.20	16.24	18.70	22.22	24.76	-1.2461	0.1208
♀	15.0000	15.64	16.72	19.27	22.86	25.44	-1.1876	0.1207
♀	16.0000	16.06	17.17	19.79	23.44	26.04	-1.1306	0.1203
♀	17.0000	16.45	17.59	20.27	23.97	26.57	-1.0755	0.1197
♀	18.0000	16.81	17.98	20.72	24.46	27.06	-1.0230	0.1191
♀	19.0000	17.15	18.35	21.14	24.92	27.51	-0.9733	0.1185
♀	20.0000	17.47	18.70	21.55	25.35	27.94	-0.9260	0.1179

nl4.ref

Citations

• Fredriks, A. M. et al. Nationwide age references for sitting height, leg length, and sitting height/height ratio, and their diagnostic value for disproportionate growth disorders. Archives of Disease in Childhood 90, 807–812 (2005).
• Fredriks, A. M. et al. Height, weight, body mass index and pubertal development references for children of Moroccan origin in The Netherlands. Acta Paediatr. 93, 817–824 (2004).
• Fredriks, A. M. et al. Continuing positive secular growth change in The Netherlands 1955–1997. Pediatric research 47, 316–323 (2000).
• Fredriks, A. M. et al. Height, weight, body mass index and pubertal development reference values for children of Turkish origin in the Netherlands. Eur. J. Pediatr. 162, 788–793 (2003).
• Fredriks, A. M., van Buuren, S., Wit, J. M. & Verloove-Vanhorick, S. P. Body index measurements in 1996–7 compared with 1980. Archives of disease in childhood 82, 107–112 (2000).
• R package: AGD, Stef van Buuren, http://www.stefvanbuuren.nl/

HEIGHTN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	47.25	48.66	51.32	53.98	55.39	1	0.0405
♂	0.0192	47.97	49.40	52.10	54.80	56.23	1	0.0404
♂	0.0383	48.70	50.15	52.88	55.61	57.06	1	0.0403
♂	0.0575	49.45	50.91	53.67	56.43	57.89	1	0.0401
♂	0.0767	50.19	51.67	54.46	57.25	58.73	1	0.0400
♂	0.0958	50.97	52.46	55.26	58.06	59.55	1	0.0396
♂	0.1150	51.72	53.22	56.05	58.88	60.38	1	0.0394
♂	0.1342	52.44	53.96	56.83	59.70	61.22	1	0.0394
♂	0.1533	53.17	54.71	57.60	60.49	62.03	1	0.0392
♂	0.1725	53.89	55.44	58.36	61.28	62.83	1	0.0391
♂	0.1916	54.62	56.17	59.10	62.03	63.58	1	0.0387
♂	0.2300	55.94	57.52	60.51	63.50	65.08	1	0.0385
♂	0.2683	57.19	58.79	61.82	64.85	66.45	1	0.0382
♂	0.3066	58.35	59.97	63.03	66.09	67.71	1	0.0379
♂	0.3450	59.43	61.07	64.16	67.25	68.89	1	0.0376
♂	0.3833	60.42	62.07	65.20	68.33	69.98	1	0.0374
♂	0.4216	61.38	63.04	66.18	69.32	70.98	1	0.0370
♂	0.4600	62.22	63.91	67.09	70.27	71.96	1	0.0370
♂	0.4983	63.04	64.74	67.94	71.14	72.84	1	0.0368
♂	0.5366	63.80	65.52	68.75	71.98	73.70	1	0.0367
♂	0.6133	65.25	66.98	70.25	73.52	75.25	1	0.0363
♂	0.6899	66.55	68.31	71.63	74.95	76.71	1	0.0362
♂	0.7666	67.77	69.56	72.93	76.30	78.09	1	0.0361
♂	0.8433	68.94	70.75	74.17	77.59	79.40	1	0.0360
♂	0.9199	70.04	71.88	75.36	78.84	80.68	1	0.0360
♂	0.9966	71.12	72.98	76.50	80.02	81.88	1	0.0359
♂	2.0000	82.48	84.68	88.85	93.02	95.22	1	0.0366
♂	3.0000	90.88	93.37	98.07	102.77	105.26	1	0.0374
♂	4.0000	97.92	100.65	105.82	110.99	113.72	1	0.0381
♂	5.0000	104.38	107.40	113.11	118.82	121.84	1	0.0394
♂	6.0000	110.43	113.77	120.08	126.39	129.73	1	0.0410
♂	7.0000	116.08	119.73	126.63	133.53	137.18	1	0.0425
♂	8.0000	121.43	125.37	132.83	140.29	144.23	1	0.0438
♂	9.0000	126.13	130.34	138.30	146.26	150.47	1	0.0449
♂	10.0000	130.33	134.80	143.24	151.68	156.15	1	0.0460
♂	11.0000	134.53	139.27	148.24	157.21	161.95	1	0.0472
♂	12.0000	139.39	144.45	154.00	163.55	168.61	1	0.0484
♂	13.0000	145.43	150.79	160.92	171.05	176.41	1	0.0491
♂	14.0000	152.36	157.83	168.18	178.53	184.00	1	0.0480
♂	15.0000	158.94	164.29	174.39	184.49	189.84	1	0.0452
♂	16.0000	163.89	169.03	178.74	188.45	193.59	1	0.0424
♂	17.0000	166.86	171.84	181.25	190.66	195.64	1	0.0405
♂	18.0000	168.42	173.31	182.55	191.79	196.68	1	0.0395
♂	19.0000	169.18	174.02	183.18	192.34	197.18	1	0.0390
♂	20.0000	169.65	174.47	183.57	192.67	197.49	1	0.0387
♂	21.0000	170.11	174.91	183.96	193.01	197.81	1	0.0384
♀	0.0000	47.15	48.45	50.90	53.35	54.65	1	0.0376
♀	0.0192	47.79	49.10	51.58	54.06	55.37	1	0.0375
♀	0.0383	48.42	49.75	52.26	54.77	56.10	1	0.0375
♀	0.0575	49.06	50.40	52.94	55.48	56.82	1	0.0374
♀	0.0767	49.71	51.07	53.63	56.19	57.55	1	0.0373
♀	0.0958	50.37	51.73	54.31	56.89	58.25	1	0.0370
♀	0.1150	51.01	52.39	54.99	57.59	58.97	1	0.0369
♀	0.1342	51.65	53.04	55.67	58.30	59.69	1	0.0368
♀	0.1533	52.29	53.69	56.35	59.01	60.41	1	0.0368
♀	0.1725	52.92	54.34	57.02	59.70	61.12	1	0.0367
♀	0.1916	53.54	54.97	57.68	60.39	61.82	1	0.0366
♀	0.2300	54.77	56.23	58.97	61.71	63.17	1	0.0363
♀	0.2683	55.97	57.44	60.22	63.00	64.47	1	0.0360
♀	0.3066	57.11	58.60	61.41	64.22	65.71	1	0.0357
♀	0.3450	58.19	59.69	62.54	65.39	66.89	1	0.0355
♀	0.3833	59.19	60.71	63.60	66.49	68.01	1	0.0354
♀	0.4216	60.13	61.68	64.60	67.52	69.07	1	0.0353
♀	0.4600	61.03	62.59	65.54	68.49	70.05	1	0.0351
♀	0.4983	61.87	63.44	66.41	69.38	70.95	1	0.0349
♀	0.5366	62.64	64.22	67.22	70.22	71.80	1	0.0348
♀	0.6133	64.06	65.67	68.73	71.79	73.40	1	0.0347
♀	0.6899	65.36	67.00	70.11	73.22	74.86	1	0.0346
♀	0.7666	66.58	68.25	71.41	74.57	76.24	1	0.0345
♀	0.8433	67.76	69.46	72.66	75.86	77.56	1	0.0344
♀	0.9199	68.89	70.62	73.89	77.16	78.89	1	0.0345
♀	0.9966	70.00	71.76	75.09	78.42	80.18	1	0.0346
♀	2.0000	81.32	83.45	87.49	91.53	93.66	1	0.0360
♀	3.0000	89.39	91.91	96.65	101.39	103.91	1	0.0383
♀	4.0000	96.32	99.14	104.45	109.76	112.58	1	0.0397
♀	5.0000	102.84	105.94	111.78	117.62	120.72	1	0.0408
♀	6.0000	108.97	112.35	118.72	125.09	128.47	1	0.0419
♀	7.0000	114.67	118.30	125.17	132.04	135.67	1	0.0428
♀	8.0000	120.23	124.13	131.49	138.85	142.75	1	0.0437
♀	9.0000	125.54	129.69	137.51	145.33	149.48	1	0.0444
♀	10.0000	130.70	135.06	143.31	151.56	155.92	1	0.0449
♀	11.0000	136.03	140.59	149.19	157.79	162.35	1	0.0450
♀	12.0000	141.88	146.51	155.27	164.03	168.66	1	0.0440
♀	13.0000	147.54	152.14	160.84	169.54	174.14	1	0.0422
♀	14.0000	151.62	156.16	164.73	173.30	177.84	1	0.0406
♀	15.0000	154.15	158.64	167.12	175.60	180.09	1	0.0396
♀	16.0000	155.71	160.16	168.56	176.96	181.41	1	0.0389
♀	17.0000	156.51	160.93	169.28	177.63	182.05	1	0.0385
♀	18.0000	157.01	161.42	169.75	178.08	182.49	1	0.0383
♀	19.0000	157.47	161.87	170.18	178.49	182.89	1	0.0381
♀	20.0000	157.77	162.17	170.47	178.77	183.17	1	0.0380
♀	21.0000	157.92	162.30	170.59	178.88	183.26	1	0.0379

HEIGHTT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	47.58	48.94	51.50	54.06	55.42	1	0.0388
♂	0.0192	48.31	49.67	52.25	54.83	56.19	1	0.0385
♂	0.0383	49.04	50.41	53.01	55.61	56.98	1	0.0382
♂	0.0575	49.77	51.15	53.76	56.37	57.75	1	0.0379
♂	0.0767	50.48	51.87	54.50	57.13	58.52	1	0.0376
♂	0.0958	51.20	52.60	55.24	57.88	59.28	1	0.0373
♂	0.1150	51.93	53.34	55.99	58.64	60.05	1	0.0370
♂	0.1342	52.65	54.06	56.73	59.40	60.81	1	0.0367
♂	0.1533	53.36	54.78	57.46	60.14	61.56	1	0.0364
♂	0.1725	54.08	55.51	58.20	60.89	62.32	1	0.0361
♂	0.1916	54.79	56.22	58.92	61.62	63.05	1	0.0358
♂	0.2300	56.17	57.61	60.33	63.05	64.49	1	0.0352
♂	0.2683	57.50	58.95	61.68	64.41	65.86	1	0.0346
♂	0.3066	58.77	60.23	62.97	65.71	67.17	1	0.0340
♂	0.3450	59.98	61.44	64.20	66.96	68.42	1	0.0335
♂	0.3833	61.12	62.59	65.36	68.13	69.60	1	0.0331
♂	0.4216	62.20	63.67	66.46	69.25	70.72	1	0.0327
♂	0.4600	63.23	64.71	67.50	70.29	71.77	1	0.0323
♂	0.4983	64.15	65.64	68.46	71.28	72.77	1	0.0321
♂	0.5366	65.02	66.52	69.36	72.20	73.70	1	0.0319
♂	0.6133	66.57	68.10	70.98	73.86	75.39	1	0.0317
♂	0.6899	67.92	69.48	72.43	75.38	76.94	1	0.0318
♂	0.7666	69.13	70.74	73.76	76.78	78.39	1	0.0320
♂	0.8433	70.23	71.88	74.99	78.10	79.75	1	0.0324
♂	0.9199	71.26	72.96	76.16	79.36	81.06	1	0.0328
♂	0.9966	72.24	73.98	77.27	80.56	82.30	1	0.0332
♂	2.0000	81.67	83.88	88.04	92.20	94.41	1	0.0369
♂	3.0000	89.98	92.45	97.12	101.79	104.26	1	0.0375
♂	4.0000	96.78	99.55	104.77	109.99	112.76	1	0.0389
♂	5.0000	102.66	105.72	111.51	117.30	120.36	1	0.0405
♂	6.0000	108.16	111.41	117.56	123.71	126.96	1	0.0408
♂	7.0000	113.20	116.52	122.78	129.04	132.36	1	0.0398
♂	8.0000	118.34	121.72	128.11	134.50	137.88	1	0.0389
♂	9.0000	123.68	127.27	134.06	140.85	144.44	1	0.0395
♂	10.0000	127.51	131.45	138.89	146.33	150.27	1	0.0418
♂	11.0000	130.74	135.13	143.42	151.71	156.10	1	0.0451
♂	12.0000	134.86	139.78	149.06	158.34	163.26	1	0.0486
♂	13.0000	140.99	146.30	156.34	166.38	171.69	1	0.0501
♂	14.0000	148.22	153.46	163.36	173.26	178.50	1	0.0473
♂	15.0000	153.90	158.74	167.88	177.02	181.86	1	0.0425
♂	16.0000	157.95	162.39	170.77	179.15	183.59	1	0.0383
♂	17.0000	160.52	164.67	172.52	180.37	184.52	1	0.0355
♂	18.0000	161.67	165.70	173.32	180.94	184.97	1	0.0343
♂	19.0000	161.90	165.90	173.46	181.02	185.02	1	0.0340
♂	20.0000	162.64	166.56	173.96	181.36	185.28	1	0.0332
♀	0.0000	46.34	47.81	50.57	53.33	54.79	1	0.0426
♀	0.0192	47.02	48.50	51.29	54.08	55.56	1	0.0425
♀	0.0383	47.67	49.17	52.00	54.83	56.33	1	0.0425
♀	0.0575	48.34	49.86	52.72	55.59	57.10	1	0.0424
♀	0.0767	48.97	50.50	53.40	56.29	57.82	1	0.0423
♀	0.0958	49.59	51.14	54.07	57.00	58.55	1	0.0423
♀	0.1150	50.21	51.78	54.74	57.70	59.27	1	0.0422
♀	0.1342	50.82	52.41	55.41	58.40	59.99	1	0.0422
♀	0.1533	51.44	53.04	56.06	59.09	60.69	1	0.0421
♀	0.1725	52.03	53.65	56.71	59.77	61.39	1	0.0421
♀	0.1916	52.63	54.27	57.35	60.44	62.07	1	0.0420
♀	0.2300	53.78	55.44	58.59	61.74	63.40	1	0.0419
♀	0.2683	54.89	56.58	59.77	62.97	64.66	1	0.0417
♀	0.3066	55.96	57.67	60.91	64.15	65.87	1	0.0415
♀	0.3450	56.99	58.73	62.02	65.31	67.05	1	0.0414
♀	0.3833	58.00	59.76	63.10	66.43	68.19	1	0.0412
♀	0.4216	58.99	60.77	64.13	67.49	69.27	1	0.0409
♀	0.4600	59.93	61.73	65.12	68.52	70.32	1	0.0407
♀	0.4983	60.84	62.65	66.08	69.50	71.31	1	0.0404
♀	0.5366	61.72	63.54	66.98	70.42	72.25	1	0.0401
♀	0.6133	63.33	65.17	68.66	72.14	73.99	1	0.0396
♀	0.6899	64.80	66.65	70.16	73.67	75.52	1	0.0390
♀	0.7666	66.12	68.00	71.53	75.07	76.95	1	0.0386
♀	0.8433	67.37	69.26	72.82	76.39	78.28	1	0.0382
♀	0.9199	68.53	70.43	74.03	77.62	79.53	1	0.0379
♀	0.9966	69.62	71.53	75.15	78.78	80.69	1	0.0376
♀	2.0000	81.12	83.37	87.62	91.88	94.13	1	0.0379
♀	3.0000	89.34	91.85	96.59	101.33	103.84	1	0.0383
♀	4.0000	96.27	98.99	104.13	109.27	111.99	1	0.0385
♀	5.0000	101.55	104.42	109.86	115.29	118.17	1	0.0386
♀	6.0000	106.19	109.22	114.93	120.65	123.67	1	0.0388
♀	7.0000	111.20	114.43	120.55	126.67	129.91	1	0.0396
♀	8.0000	116.71	120.29	127.07	133.84	137.43	1	0.0416
♀	9.0000	121.84	125.84	133.39	140.95	144.95	1	0.0442
♀	10.0000	126.85	131.21	139.45	147.69	152.05	1	0.0461
♀	11.0000	132.14	136.69	145.30	153.90	158.45	1	0.0462
♀	12.0000	138.39	142.86	151.32	159.77	164.25	1	0.0436
♀	13.0000	143.45	147.69	155.69	163.69	167.93	1	0.0401
♀	14.0000	146.20	150.26	157.93	165.60	169.66	1	0.0379
♀	15.0000	147.81	151.75	159.20	166.65	170.59	1	0.0365
♀	16.0000	148.20	152.11	159.49	166.86	170.77	1	0.0361
♀	17.0000	148.41	152.30	159.65	166.99	170.88	1	0.0359
♀	18.0000	148.74	152.60	159.90	167.20	171.06	1	0.0356
♀	19.0000	149.14	152.97	160.20	167.42	171.25	1	0.0352
♀	20.0000	149.84	153.60	160.70	167.81	171.57	1	0.0345

HEIGHTM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	47.22	48.53	51.00	53.47	54.78	1	0.0378
♂	0.0192	47.91	49.23	51.72	54.21	55.53	1	0.0376
♂	0.0383	48.63	49.95	52.45	54.95	56.27	1	0.0372
♂	0.0575	49.37	50.71	53.23	55.75	57.09	1	0.0370
♂	0.0767	50.12	51.46	54.00	56.54	57.88	1	0.0367
♂	0.0958	50.86	52.22	54.78	57.34	58.70	1	0.0365
♂	0.1150	51.59	52.96	55.54	58.12	59.49	1	0.0363
♂	0.1342	52.33	53.70	56.30	58.90	60.27	1	0.0360
♂	0.1533	53.05	54.43	57.05	59.67	61.05	1	0.0358
♂	0.1725	53.75	55.14	57.78	60.42	61.81	1	0.0356
♂	0.1916	54.43	55.84	58.49	61.14	62.55	1	0.0354
♂	0.2300	55.77	57.19	59.87	62.55	63.97	1	0.0349
♂	0.2683	57.03	58.47	61.17	63.87	65.31	1	0.0345
♂	0.3066	58.22	59.67	62.40	65.13	66.58	1	0.0342
♂	0.3450	59.37	60.83	63.58	66.33	67.79	1	0.0338
♂	0.3833	60.46	61.93	64.71	67.49	68.96	1	0.0335
♂	0.4216	61.51	62.99	65.80	68.61	70.09	1	0.0333
♂	0.4600	62.53	64.02	66.85	69.68	71.17	1	0.0330
♂	0.4983	63.47	64.99	67.85	70.71	72.23	1	0.0329
♂	0.5366	64.40	65.93	68.82	71.71	73.24	1	0.0328
♂	0.6133	66.08	67.65	70.61	73.57	75.14	1	0.0327
♂	0.6899	67.58	69.18	72.21	75.24	76.84	1	0.0327
♂	0.7666	68.88	70.53	73.64	76.75	78.40	1	0.0330
♂	0.8433	70.03	71.72	74.92	78.12	79.81	1	0.0333
♂	0.9199	71.06	72.79	76.07	79.35	81.08	1	0.0336
♂	0.9966	71.96	73.74	77.11	80.48	82.26	1	0.0341
♂	2.0000	81.04	83.33	87.67	92.01	94.30	1	0.0386
♂	3.0000	88.77	91.37	96.28	101.19	103.79	1	0.0398
♂	4.0000	95.62	98.46	103.82	109.18	112.02	1	0.0403
♂	5.0000	101.40	104.47	110.28	116.09	119.16	1	0.0411
♂	6.0000	106.65	109.97	116.24	122.51	125.83	1	0.0421
♂	7.0000	111.89	115.46	122.21	128.96	132.53	1	0.0431
♂	8.0000	117.08	120.85	127.99	135.13	138.90	1	0.0435
♂	9.0000	121.94	125.91	133.42	140.93	144.90	1	0.0439
♂	10.0000	126.58	130.77	138.70	146.63	150.82	1	0.0446
♂	11.0000	130.41	134.86	143.27	151.68	156.13	1	0.0458
♂	12.0000	134.27	139.07	148.12	157.17	161.97	1	0.0477
♂	13.0000	138.86	144.02	153.78	163.54	168.70	1	0.0495
♂	14.0000	144.94	150.25	160.27	170.29	175.60	1	0.0488
♂	15.0000	152.10	157.18	166.78	176.38	181.46	1	0.0449
♂	16.0000	157.45	162.22	171.24	180.26	185.03	1	0.0411
♂	17.0000	160.26	164.84	173.49	182.14	186.72	1	0.0389
♂	18.0000	160.96	165.48	174.02	182.56	187.08	1	0.0383
♂	19.0000	161.36	165.85	174.34	182.83	187.32	1	0.0380
♂	20.0000	161.82	166.27	174.69	183.11	187.56	1	0.0376
♀	0.0000	45.42	46.97	49.90	52.83	54.38	1	0.0458
♀	0.0192	46.08	47.64	50.60	53.56	55.12	1	0.0456
♀	0.0383	46.69	48.27	51.25	54.23	55.81	1	0.0454
♀	0.0575	47.41	49.00	52.01	55.02	56.61	1	0.0451
♀	0.0767	48.13	49.73	52.77	55.81	57.41	1	0.0449
♀	0.0958	48.83	50.45	53.52	56.59	58.21	1	0.0447
♀	0.1150	49.55	51.18	54.27	57.36	58.99	1	0.0444
♀	0.1342	50.24	51.89	55.01	58.13	59.78	1	0.0442
♀	0.1533	50.95	52.61	55.75	58.89	60.55	1	0.0439
♀	0.1725	51.63	53.31	56.47	59.63	61.31	1	0.0437
♀	0.1916	52.33	54.01	57.19	60.37	62.05	1	0.0434
♀	0.2300	53.65	55.35	58.57	61.79	63.49	1	0.0429
♀	0.2683	54.90	56.63	59.88	63.13	64.86	1	0.0424
♀	0.3066	56.11	57.85	61.13	64.41	66.15	1	0.0419
♀	0.3450	57.25	59.00	62.31	65.62	67.37	1	0.0414
♀	0.3833	58.35	60.11	63.44	66.77	68.53	1	0.0409
♀	0.4216	59.40	61.17	64.51	67.85	69.62	1	0.0404
♀	0.4600	60.39	62.16	65.51	68.86	70.63	1	0.0399
♀	0.4983	61.33	63.10	66.46	69.82	71.59	1	0.0394
♀	0.5366	62.22	63.99	67.35	70.71	72.48	1	0.0389
♀	0.6133	63.83	65.61	68.97	72.33	74.11	1	0.0380
♀	0.6899	65.27	67.04	70.40	73.76	75.53	1	0.0372
♀	0.7666	66.54	68.32	71.68	75.04	76.82	1	0.0366
♀	0.8433	67.68	69.46	72.82	76.18	77.96	1	0.0360
♀	0.9199	68.72	70.50	73.86	77.22	79.00	1	0.0355
♀	0.9966	69.72	71.49	74.85	78.21	79.98	1	0.0350
♀	2.0000	81.17	83.10	86.76	90.42	92.35	1	0.0329
♀	3.0000	88.38	90.61	94.83	99.05	101.28	1	0.0347
♀	4.0000	94.76	97.41	102.41	107.41	110.06	1	0.0381
♀	5.0000	100.13	103.20	109.00	114.80	117.87	1	0.0415
♀	6.0000	104.78	108.19	114.64	121.09	124.50	1	0.0439
♀	7.0000	109.50	113.20	120.19	127.18	130.88	1	0.0454
♀	8.0000	114.81	118.80	126.35	133.90	137.89	1	0.0466
♀	9.0000	120.13	124.38	132.41	140.44	144.69	1	0.0473
♀	10.0000	125.28	129.68	137.99	146.30	150.70	1	0.0470
♀	11.0000	131.13	135.58	144.00	152.42	156.87	1	0.0456
♀	12.0000	137.82	142.20	150.47	158.74	163.12	1	0.0429
♀	13.0000	143.48	147.69	155.65	163.61	167.82	1	0.0399
♀	14.0000	146.88	150.94	158.60	166.26	170.32	1	0.0377
♀	15.0000	148.30	152.27	159.79	167.31	171.28	1	0.0367
♀	16.0000	148.93	152.86	160.30	167.74	171.67	1	0.0362
♀	17.0000	149.09	153.02	160.44	167.86	171.79	1	0.0361
♀	18.0000	149.66	153.56	160.92	168.28	172.18	1	0.0357
♀	19.0000	150.05	153.93	161.24	168.55	172.43	1	0.0354
♀	20.0000	150.15	154.01	161.31	168.61	172.47	1	0.0353

WEIGHTN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	2.78	3.04	3.55	4.09	4.38	0.629	0.115
♂	0.0192	2.94	3.21	3.75	4.32	4.63	0.617	0.115
♂	0.0383	3.09	3.38	3.94	4.54	4.87	0.604	0.115
♂	0.0575	3.24	3.54	4.13	4.76	5.10	0.592	0.115
♂	0.0767	3.40	3.71	4.33	4.99	5.35	0.580	0.115
♂	0.0958	3.56	3.88	4.53	5.22	5.60	0.569	0.115
♂	0.1150	3.72	4.05	4.72	5.43	5.83	0.557	0.114
♂	0.1342	3.88	4.23	4.92	5.66	6.07	0.546	0.114
♂	0.1533	4.03	4.39	5.11	5.88	6.31	0.534	0.114
♂	0.1725	4.18	4.55	5.30	6.10	6.55	0.523	0.114
♂	0.1916	4.32	4.71	5.48	6.31	6.77	0.512	0.114
♂	0.2300	4.61	5.02	5.84	6.73	7.22	0.490	0.114
♂	0.2683	4.89	5.32	6.19	7.13	7.66	0.468	0.114
♂	0.3066	5.16	5.60	6.51	7.49	8.04	0.448	0.113
♂	0.3450	5.40	5.87	6.82	7.85	8.43	0.428	0.113
♂	0.3833	5.64	6.12	7.11	8.18	8.79	0.409	0.113
♂	0.4216	5.86	6.37	7.39	8.51	9.14	0.391	0.113
♂	0.4600	6.07	6.59	7.65	8.81	9.46	0.373	0.113
♂	0.4983	6.26	6.80	7.89	9.09	9.76	0.357	0.113
♂	0.5366	6.45	7.00	8.12	9.35	10.05	0.341	0.113
♂	0.6133	6.81	7.38	8.55	9.84	10.57	0.311	0.112
♂	0.6899	7.13	7.73	8.95	10.30	11.07	0.285	0.112
♂	0.7666	7.42	8.03	9.30	10.71	11.51	0.260	0.112
♂	0.8433	7.69	8.32	9.63	11.09	11.93	0.237	0.112
♂	0.9199	7.94	8.59	9.94	11.45	12.32	0.216	0.112
♂	0.9966	8.17	8.84	10.23	11.79	12.68	0.196	0.112
♂	2.0000	10.41	11.25	13.02	15.07	16.27	0.014	0.114
♂	3.0000	12.11	13.09	15.19	17.67	19.16	-0.116	0.117
♂	4.0000	13.81	14.94	17.42	20.43	22.28	-0.239	0.122
♂	5.0000	15.62	16.92	19.82	23.44	25.72	-0.359	0.127
♂	6.0000	17.46	18.96	22.37	26.76	29.61	-0.469	0.134
♂	7.0000	19.36	21.07	25.03	30.28	33.80	-0.560	0.141
♂	8.0000	21.34	23.29	27.86	34.09	38.37	-0.627	0.148
♂	9.0000	23.32	25.52	30.76	38.06	43.17	-0.659	0.155
♂	10.0000	25.32	27.81	33.79	42.23	48.22	-0.651	0.162
♂	11.0000	27.51	30.37	37.23	46.94	53.83	-0.591	0.169
♂	12.0000	30.17	33.51	41.48	52.56	60.27	-0.464	0.175
♂	13.0000	33.51	37.47	46.77	59.32	67.77	-0.302	0.179
♂	14.0000	37.83	42.38	52.87	66.56	75.49	-0.180	0.176
♂	15.0000	42.71	47.63	58.82	73.09	82.22	-0.138	0.167
♂	16.0000	47.29	52.37	63.77	78.12	87.20	-0.148	0.156
♂	17.0000	50.91	56.02	67.43	81.67	90.62	-0.174	0.147
♂	18.0000	53.63	58.74	70.06	84.10	92.90	-0.199	0.140
♂	19.0000	55.70	60.79	72.04	85.93	94.61	-0.217	0.135
♂	20.0000	57.54	62.59	73.70	87.35	95.84	-0.232	0.130
♂	21.0000	59.23	64.26	75.28	88.77	97.13	-0.247	0.126
♀	0.0000	2.64	2.87	3.34	3.86	4.15	0.369	0.115
♀	0.0192	2.77	3.02	3.51	4.05	4.36	0.359	0.115
♀	0.0383	2.92	3.17	3.69	4.26	4.58	0.349	0.115
♀	0.0575	3.05	3.32	3.86	4.46	4.80	0.339	0.115
♀	0.0767	3.19	3.46	4.03	4.65	5.01	0.328	0.115
♀	0.0958	3.33	3.62	4.21	4.86	5.23	0.319	0.115
♀	0.1150	3.47	3.77	4.38	5.05	5.44	0.309	0.114
♀	0.1342	3.62	3.93	4.56	5.26	5.66	0.300	0.114
♀	0.1533	3.75	4.07	4.73	5.46	5.87	0.289	0.114
♀	0.1725	3.90	4.23	4.90	5.65	6.07	0.280	0.113
♀	0.1916	4.03	4.37	5.07	5.84	6.29	0.270	0.113
♀	0.2300	4.30	4.66	5.40	6.23	6.70	0.251	0.113
♀	0.2683	4.57	4.94	5.72	6.59	7.09	0.233	0.112
♀	0.3066	4.82	5.21	6.03	6.95	7.47	0.215	0.112
♀	0.3450	5.05	5.46	6.32	7.28	7.83	0.198	0.112
♀	0.3833	5.28	5.71	6.59	7.58	8.16	0.182	0.111
♀	0.4216	5.49	5.93	6.85	7.88	8.48	0.166	0.111
♀	0.4600	5.69	6.15	7.10	8.17	8.79	0.152	0.111
♀	0.4983	5.89	6.36	7.33	8.43	9.07	0.137	0.110
♀	0.5366	6.07	6.55	7.55	8.68	9.34	0.124	0.110
♀	0.6133	6.39	6.90	7.95	9.14	9.84	0.099	0.110
♀	0.6899	6.69	7.22	8.32	9.57	10.30	0.076	0.110
♀	0.7666	6.97	7.52	8.66	9.97	10.73	0.056	0.110
♀	0.8433	7.24	7.80	8.97	10.31	11.10	0.036	0.109
♀	0.9199	7.47	8.05	9.27	10.67	11.50	0.018	0.110
♀	0.9966	7.70	8.29	9.55	11.00	11.85	0.002	0.110
♀	2.0000	9.91	10.68	12.32	14.26	15.44	-0.158	0.113
♀	3.0000	11.73	12.66	14.68	17.13	18.65	-0.281	0.118
♀	4.0000	13.43	14.52	16.94	19.96	21.87	-0.390	0.124
♀	5.0000	15.06	16.33	19.21	22.92	25.33	-0.488	0.132
♀	6.0000	16.85	18.33	21.77	26.35	29.42	-0.579	0.141
♀	7.0000	18.83	20.57	24.68	30.35	34.29	-0.654	0.151
♀	8.0000	20.90	22.93	27.80	34.74	39.70	-0.698	0.161
♀	9.0000	22.93	25.29	31.04	39.43	45.59	-0.698	0.172
♀	10.0000	25.08	27.81	34.52	44.39	51.66	-0.648	0.181
♀	11.0000	27.46	30.64	38.46	49.88	58.21	-0.553	0.189
♀	12.0000	30.59	34.28	43.21	55.89	64.85	-0.432	0.190
♀	13.0000	34.80	38.81	48.32	61.32	70.18	-0.366	0.178
♀	14.0000	39.12	43.19	52.70	65.49	74.10	-0.420	0.162
♀	15.0000	42.64	46.65	56.00	68.62	77.18	-0.552	0.150
♀	16.0000	45.19	49.13	58.37	71.02	79.74	-0.700	0.143
♀	17.0000	46.96	50.85	60.04	72.80	81.74	-0.825	0.139
♀	18.0000	48.28	52.13	61.27	74.09	83.20	-0.923	0.136
♀	19.0000	49.31	53.13	62.25	75.16	84.44	-1.003	0.134
♀	20.0000	50.20	54.00	63.08	76.02	85.40	-1.070	0.132
♀	21.0000	50.97	54.75	63.85	76.92	86.48	-1.133	0.131

WEIGHTT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	2.70	2.95	3.44	3.97	4.27	0.4975	0.1165
♂	0.0192	2.90	3.17	3.70	4.27	4.59	0.4900	0.1165
♂	0.0383	3.14	3.43	4.00	4.62	4.97	0.4825	0.1165
♂	0.0575	3.30	3.60	4.20	4.85	5.22	0.4758	0.1164
♂	0.0767	3.46	3.77	4.40	5.08	5.46	0.4691	0.1164
♂	0.0958	3.61	3.93	4.59	5.30	5.70	0.4624	0.1164
♂	0.1150	3.76	4.10	4.79	5.53	5.95	0.4557	0.1164
♂	0.1342	3.92	4.28	4.99	5.76	6.20	0.4491	0.1163
♂	0.1533	4.07	4.44	5.18	5.98	6.44	0.4424	0.1163
♂	0.1725	4.22	4.60	5.37	6.20	6.67	0.4357	0.1163
♂	0.1916	4.37	4.77	5.56	6.42	6.91	0.4291	0.1163
♂	0.2300	4.68	5.09	5.94	6.86	7.38	0.4159	0.1162
♂	0.2683	4.96	5.40	6.30	7.28	7.83	0.4028	0.1162
♂	0.3066	5.23	5.70	6.64	7.67	8.26	0.3899	0.1161
♂	0.3450	5.49	5.98	6.97	8.06	8.67	0.3771	0.1161
♂	0.3833	5.75	6.26	7.29	8.43	9.07	0.3646	0.1161
♂	0.4216	5.99	6.51	7.59	8.77	9.45	0.3522	0.1161
♂	0.4600	6.22	6.76	7.88	9.11	9.81	0.3401	0.1161
♂	0.4983	6.43	7.00	8.15	9.42	10.15	0.3283	0.1161
♂	0.5366	6.64	7.22	8.41	9.73	10.48	0.3167	0.1161
♂	0.6133	7.02	7.63	8.88	10.27	11.07	0.2943	0.1162
♂	0.6899	7.36	8.00	9.31	10.77	11.61	0.2731	0.1163
♂	0.7666	7.67	8.33	9.70	11.23	12.11	0.2529	0.1164
♂	0.8433	7.95	8.64	10.06	11.65	12.57	0.2339	0.1166
♂	0.9199	8.22	8.92	10.39	12.04	12.99	0.2160	0.1168
♂	0.9966	8.46	9.19	10.70	12.40	13.39	0.1991	0.1170
♂	2.0000	10.62	11.53	13.46	15.69	17.01	0.0460	0.1202
♂	3.0000	12.20	13.26	15.53	18.22	19.84	-0.0582	0.1240
♂	4.0000	13.77	14.99	17.65	20.88	22.86	-0.1592	0.1293
♂	5.0000	15.42	16.83	19.97	23.88	26.35	-0.2651	0.1364
♂	6.0000	17.21	18.84	22.55	27.34	30.46	-0.3760	0.1450
♂	7.0000	19.00	20.86	25.20	31.02	34.94	-0.4820	0.1543
♂	8.0000	20.90	23.02	28.06	35.10	40.04	-0.5803	0.1639
♂	9.0000	23.02	25.43	31.33	39.92	46.20	-0.6668	0.1746
♂	10.0000	25.01	27.74	34.55	44.87	52.72	-0.7235	0.1858
♂	11.0000	26.89	29.96	37.78	50.00	59.62	-0.7439	0.1974
♂	12.0000	29.33	32.85	41.90	56.28	67.78	-0.7201	0.2074
♂	13.0000	32.93	37.02	47.43	63.70	76.43	-0.6419	0.2097
♂	14.0000	37.34	41.97	53.49	70.65	83.38	-0.5280	0.2019
♂	15.0000	41.62	46.60	58.62	75.56	87.46	-0.4196	0.1879
♂	16.0000	45.32	50.46	62.50	78.70	89.58	-0.3328	0.1731
♂	17.0000	48.18	53.37	65.25	80.68	90.73	-0.2641	0.1611
♂	18.0000	50.20	55.38	67.07	81.89	91.34	-0.2131	0.1525
♂	19.0000	51.62	56.79	68.30	82.66	91.69	-0.1763	0.1464
♂	20.0000	52.74	57.88	69.24	83.23	91.94	-0.1471	0.1417
♀	0.0000	2.44	2.73	3.26	3.77	4.03	1.2750	0.1238
♀	0.0192	2.66	2.97	3.55	4.10	4.39	1.2620	0.1239
♀	0.0383	2.85	3.18	3.80	4.39	4.70	1.2481	0.1239
♀	0.0575	2.98	3.33	3.98	4.60	4.92	1.2351	0.1240
♀	0.0767	3.11	3.48	4.15	4.80	5.13	1.2222	0.1240
♀	0.0958	3.25	3.63	4.33	5.01	5.36	1.2092	0.1240
♀	0.1150	3.38	3.77	4.50	5.21	5.57	1.1963	0.1241
♀	0.1342	3.51	3.92	4.68	5.41	5.80	1.1834	0.1241
♀	0.1533	3.64	4.07	4.85	5.61	6.01	1.1705	0.1242
♀	0.1725	3.77	4.21	5.02	5.81	6.22	1.1576	0.1242
♀	0.1916	3.90	4.35	5.19	6.01	6.43	1.1447	0.1242
♀	0.2300	4.16	4.64	5.53	6.40	6.86	1.1192	0.1243
♀	0.2683	4.41	4.91	5.85	6.78	7.26	1.0939	0.1244
♀	0.3066	4.64	5.17	6.16	7.14	7.65	1.0688	0.1244
♀	0.3450	4.87	5.43	6.46	7.49	8.03	1.0441	0.1245
♀	0.3833	5.10	5.67	6.75	7.83	8.39	1.0197	0.1245
♀	0.4216	5.31	5.90	7.02	8.14	8.73	0.9957	0.1245
♀	0.4600	5.51	6.12	7.28	8.44	9.06	0.9721	0.1245
♀	0.4983	5.70	6.33	7.53	8.74	9.38	0.9489	0.1245
♀	0.5366	5.89	6.54	7.77	9.02	9.68	0.9263	0.1245
♀	0.6133	6.23	6.91	8.20	9.52	10.23	0.8824	0.1244
♀	0.6899	6.54	7.24	8.59	9.98	10.72	0.8405	0.1243
♀	0.7666	6.83	7.55	8.95	10.40	11.18	0.8007	0.1242
♀	0.8433	7.10	7.84	9.29	10.79	11.61	0.7629	0.1241
♀	0.9199	7.35	8.11	9.60	11.16	12.01	0.7271	0.1241
♀	0.9966	7.58	8.36	9.89	11.50	12.38	0.6930	0.1240
♀	2.0000	9.99	10.96	12.93	15.11	16.36	0.3701	0.1254
♀	3.0000	11.96	13.09	15.49	18.25	19.88	0.1468	0.1296
♀	4.0000	13.73	15.04	17.89	21.30	23.37	-0.0361	0.1356
♀	5.0000	15.00	16.46	19.69	23.68	26.17	-0.1642	0.1419
♀	6.0000	16.23	17.85	21.50	26.17	29.16	-0.2798	0.1491
♀	7.0000	17.72	19.55	23.80	29.45	33.23	-0.3942	0.1595
♀	8.0000	19.61	21.75	26.89	34.07	39.08	-0.4905	0.1743
♀	9.0000	21.84	24.44	30.82	40.13	46.91	-0.5223	0.1924
♀	10.0000	24.26	27.45	35.38	47.09	55.68	-0.4429	0.2096
♀	11.0000	26.96	30.83	40.36	54.10	63.89	-0.3004	0.2189
♀	12.0000	30.49	34.87	45.51	60.52	70.99	-0.2475	0.2148
♀	13.0000	34.71	39.22	50.23	65.93	77.04	-0.3664	0.2020
♀	14.0000	38.30	42.74	53.68	69.79	81.64	-0.5750	0.1901
♀	15.0000	40.77	45.10	55.92	72.30	84.80	-0.7575	0.1822
♀	16.0000	42.25	46.52	57.24	73.77	86.69	-0.8773	0.1775
♀	17.0000	43.07	47.30	57.96	74.56	87.71	-0.9454	0.1749
♀	18.0000	43.49	47.70	58.33	74.96	88.21	-0.9802	0.1735
♀	19.0000	43.76	47.96	58.57	75.23	88.57	-1.0031	0.1727
♀	20.0000	44.04	48.22	58.81	75.48	88.88	-1.0251	0.1718

WEIGHTM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	2.77	3.05	3.57	4.06	4.31	1.3800	0.1096
♂	0.0192	3.02	3.33	3.89	4.42	4.70	1.3610	0.1097
♂	0.0383	3.24	3.57	4.17	4.74	5.04	1.3417	0.1097
♂	0.0575	3.39	3.73	4.36	4.96	5.27	1.3232	0.1097
♂	0.0767	3.53	3.89	4.54	5.17	5.49	1.3048	0.1098
♂	0.0958	3.67	4.04	4.72	5.37	5.71	1.2863	0.1098
♂	0.1150	3.82	4.21	4.91	5.59	5.94	1.2678	0.1098
♂	0.1342	3.96	4.36	5.09	5.80	6.16	1.2494	0.1099
♂	0.1533	4.10	4.51	5.27	6.00	6.38	1.2310	0.1099
♂	0.1725	4.24	4.67	5.45	6.21	6.60	1.2126	0.1100
♂	0.1916	4.39	4.82	5.63	6.41	6.82	1.1943	0.1100
♂	0.2300	4.67	5.13	5.98	6.81	7.25	1.1579	0.1101
♂	0.2683	4.94	5.42	6.32	7.21	7.67	1.1219	0.1102
♂	0.3066	5.19	5.70	6.64	7.57	8.06	1.0863	0.1103
♂	0.3450	5.44	5.97	6.96	7.94	8.46	1.0513	0.1105
♂	0.3833	5.68	6.22	7.25	8.28	8.82	1.0169	0.1106
♂	0.4216	5.91	6.47	7.54	8.61	9.18	0.9832	0.1107
♂	0.4600	6.13	6.71	7.82	8.94	9.53	0.9501	0.1109
♂	0.4983	6.34	6.94	8.08	9.24	9.85	0.9178	0.1110
♂	0.5366	6.54	7.15	8.33	9.53	10.17	0.8862	0.1112
♂	0.6133	6.91	7.55	8.79	10.06	10.75	0.8255	0.1115
♂	0.6899	7.25	7.92	9.22	10.56	11.29	0.7681	0.1119
♂	0.7666	7.56	8.26	9.61	11.02	11.79	0.7142	0.1123
♂	0.8433	7.84	8.56	9.96	11.43	12.24	0.6637	0.1127
♂	0.9199	8.10	8.83	10.28	11.81	12.66	0.6165	0.1132
♂	0.9966	8.33	9.08	10.57	12.16	13.03	0.5726	0.1136
♂	2.0000	10.39	11.30	13.19	15.33	16.58	0.1917	0.1192
♂	3.0000	11.94	12.98	15.21	17.85	19.44	-0.0468	0.1244
♂	4.0000	13.38	14.55	17.12	20.28	22.25	-0.2416	0.1296
♂	5.0000	14.90	16.21	19.17	22.96	25.41	-0.4229	0.1356
♂	6.0000	16.54	18.01	21.43	26.01	29.09	-0.5909	0.1427
♂	7.0000	18.26	19.92	23.86	29.39	33.30	-0.7376	0.1508
♂	8.0000	20.04	21.90	26.45	33.12	38.07	-0.8519	0.1597
♂	9.0000	21.90	24.00	29.23	37.21	43.39	-0.9250	0.1688
♂	10.0000	23.86	26.23	32.22	41.62	49.12	-0.9496	0.1773
♂	11.0000	25.96	28.63	35.46	46.32	55.10	-0.9270	0.1846
♂	12.0000	28.32	31.37	39.17	51.54	61.51	-0.8606	0.1908
♂	13.0000	31.18	34.67	43.55	57.45	68.43	-0.7731	0.1946
♂	14.0000	34.83	38.79	48.74	63.98	75.71	-0.7011	0.1933
♂	15.0000	38.99	43.36	54.18	70.27	82.25	-0.6401	0.1869
♂	16.0000	42.77	47.40	58.70	75.03	86.84	-0.6021	0.1780
♂	17.0000	45.86	50.62	62.05	78.23	89.70	-0.5929	0.1689
♂	18.0000	48.34	53.12	64.50	80.34	91.40	-0.5959	0.1606
♂	19.0000	50.47	55.23	66.45	81.83	92.44	-0.6030	0.1527
♂	20.0000	52.46	57.18	68.19	83.07	93.20	-0.6126	0.1451
♀	0.0000	2.50	2.81	3.37	3.92	4.20	1.1640	0.1281
♀	0.0192	2.64	2.96	3.55	4.13	4.43	1.1410	0.1280
♀	0.0383	2.78	3.11	3.73	4.34	4.65	1.1156	0.1280
♀	0.0575	2.91	3.26	3.90	4.53	4.87	1.0894	0.1279
♀	0.0767	3.04	3.40	4.07	4.73	5.08	1.0632	0.1279
♀	0.0958	3.18	3.55	4.25	4.94	5.31	1.0370	0.1279
♀	0.1150	3.31	3.70	4.42	5.14	5.53	1.0108	0.1278
♀	0.1342	3.44	3.84	4.59	5.34	5.74	0.9847	0.1278
♀	0.1533	3.58	3.99	4.77	5.55	5.97	0.9585	0.1277
♀	0.1725	3.71	4.14	4.94	5.75	6.19	0.9325	0.1277
♀	0.1916	3.84	4.27	5.10	5.94	6.39	0.9065	0.1277
♀	0.2300	4.10	4.55	5.43	6.33	6.81	0.8548	0.1276
♀	0.2683	4.35	4.83	5.75	6.70	7.22	0.8035	0.1275
♀	0.3066	4.60	5.10	6.07	7.08	7.63	0.7527	0.1274
♀	0.3450	4.84	5.36	6.37	7.43	8.02	0.7027	0.1274
♀	0.3833	5.07	5.60	6.66	7.78	8.39	0.6533	0.1273
♀	0.4216	5.30	5.84	6.94	8.11	8.76	0.6049	0.1273
♀	0.4600	5.51	6.08	7.21	8.43	9.11	0.5574	0.1272
♀	0.4983	5.73	6.31	7.48	8.75	9.46	0.5109	0.1272
♀	0.5366	5.93	6.52	7.73	9.05	9.79	0.4655	0.1272
♀	0.6133	6.31	6.93	8.20	9.61	10.41	0.3781	0.1272
♀	0.6899	6.66	7.30	8.63	10.12	10.98	0.2954	0.1272
♀	0.7666	6.99	7.65	9.03	10.60	11.51	0.2178	0.1273
♀	0.8433	7.29	7.97	9.40	11.05	12.02	0.1450	0.1275
♀	0.9199	7.56	8.26	9.74	11.46	12.48	0.0772	0.1277
♀	0.9966	7.82	8.54	10.06	11.85	12.92	0.0141	0.1280
♀	2.0000	10.09	10.94	12.89	15.41	17.05	-0.4973	0.1331
♀	3.0000	11.56	12.53	14.80	17.90	20.04	-0.7418	0.1385
♀	4.0000	13.05	14.15	16.79	20.58	23.34	-0.9221	0.1449
♀	5.0000	14.60	15.85	18.94	23.59	27.15	-1.0531	0.1529
♀	6.0000	16.12	17.54	21.13	26.76	31.28	-1.1343	0.1616
♀	7.0000	17.64	19.26	23.40	30.12	35.75	-1.1664	0.1706
♀	8.0000	19.31	21.16	25.96	33.94	40.83	-1.1547	0.1799
♀	9.0000	21.15	23.28	28.84	38.18	46.31	-1.0961	0.1885
♀	10.0000	23.23	25.71	32.19	42.96	52.15	-0.9815	0.1961
♀	11.0000	25.86	28.83	36.47	48.71	58.62	-0.7950	0.2017
♀	12.0000	29.33	32.91	41.86	55.34	65.48	-0.5746	0.2013
♀	13.0000	33.30	37.39	47.36	61.65	71.83	-0.4368	0.1943
♀	14.0000	36.94	41.30	51.71	66.19	76.22	-0.3961	0.1835
♀	15.0000	39.60	44.06	54.60	68.99	78.80	-0.3880	0.1745
♀	16.0000	41.36	45.87	56.44	70.70	80.31	-0.3810	0.1684
♀	17.0000	42.48	47.03	57.64	71.84	81.35	-0.3747	0.1649
♀	18.0000	43.25	47.83	58.46	72.62	82.06	-0.3693	0.1626
♀	19.0000	43.83	48.43	59.09	73.23	82.62	-0.3648	0.1610
♀	20.0000	44.36	48.98	59.67	73.81	83.18	-0.3605	0.1597

BMIN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	10.66	11.26	12.60	14.27	15.34	-0.900	0.0920
♂	0.0192	11.06	11.68	13.05	14.74	15.81	-0.820	0.0905
♂	0.0383	11.39	12.03	13.43	15.14	16.20	-0.746	0.0893
♂	0.0575	11.82	12.48	13.91	15.64	16.71	-0.684	0.0879
♂	0.0767	12.17	12.84	14.30	16.05	17.12	-0.634	0.0868
♂	0.0958	12.45	13.14	14.62	16.38	17.46	-0.592	0.0859
♂	0.1150	12.70	13.40	14.89	16.66	17.73	-0.556	0.0850
♂	0.1342	12.91	13.62	15.13	16.91	17.98	-0.523	0.0843
♂	0.1533	13.10	13.82	15.34	17.13	18.20	-0.494	0.0837
♂	0.1725	13.27	14.00	15.53	17.32	18.40	-0.468	0.0831
♂	0.1916	13.43	14.16	15.70	17.50	18.57	-0.444	0.0826
♂	0.2300	13.70	14.44	16.00	17.80	18.88	-0.403	0.0816
♂	0.2683	13.92	14.67	16.24	18.05	19.12	-0.366	0.0809
♂	0.3066	14.11	14.87	16.45	18.26	19.33	-0.335	0.0802
♂	0.3450	14.28	15.04	16.63	18.45	19.51	-0.308	0.0796
♂	0.3833	14.42	15.19	16.79	18.61	19.68	-0.283	0.0792
♂	0.4216	14.55	15.33	16.93	18.75	19.82	-0.261	0.0787
♂	0.4600	14.66	15.44	17.05	18.88	19.94	-0.242	0.0784
♂	0.4983	14.75	15.53	17.15	18.98	20.04	-0.225	0.0781
♂	0.5366	14.83	15.61	17.23	19.06	20.12	-0.209	0.0778
♂	0.6133	14.94	15.73	17.35	19.18	20.24	-0.183	0.0774
♂	0.6899	15.00	15.79	17.42	19.24	20.30	-0.163	0.0771
♂	0.7666	15.03	15.82	17.44	19.26	20.31	-0.148	0.0768
♂	0.8433	15.03	15.82	17.44	19.25	20.30	-0.136	0.0767
♂	0.9199	15.01	15.79	17.41	19.22	20.26	-0.126	0.0765
♂	0.9966	14.96	15.75	17.36	19.16	20.20	-0.118	0.0765
♂	2.0000	14.07	14.84	16.42	18.17	19.17	-0.007	0.0790
♂	3.0000	13.50	14.28	15.89	17.70	18.74	-0.069	0.0837
♂	4.0000	13.20	13.97	15.61	17.52	18.66	-0.375	0.0882
♂	5.0000	13.11	13.86	15.52	17.59	18.90	-0.852	0.0925
♂	6.0000	13.11	13.84	15.52	17.77	19.30	-1.324	0.0967
♂	7.0000	13.17	13.89	15.61	18.06	19.85	-1.699	0.1006
♂	8.0000	13.32	14.05	15.82	18.46	20.52	-1.948	0.1041
♂	9.0000	13.53	14.27	16.10	18.92	21.22	-2.083	0.1071
♂	10.0000	13.76	14.53	16.43	19.42	21.90	-2.126	0.1097
♂	11.0000	14.05	14.85	16.83	19.96	22.57	-2.097	0.1118
♂	12.0000	14.42	15.25	17.32	20.57	23.26	-2.022	0.1133
♂	13.0000	14.86	15.73	17.90	21.26	24.01	-1.925	0.1144
♂	14.0000	15.35	16.27	18.54	22.01	24.77	-1.821	0.1149
♂	15.0000	15.87	16.84	19.21	22.77	25.55	-1.711	0.1151
♂	16.0000	16.37	17.39	19.85	23.49	26.26	-1.594	0.1152
♂	17.0000	16.81	17.88	20.43	24.12	26.87	-1.466	0.1151
♂	18.0000	17.19	18.30	20.94	24.68	27.38	-1.327	0.1151
♂	19.0000	17.50	18.66	21.37	25.13	27.78	-1.183	0.1150
♂	20.0000	17.76	18.96	21.75	25.52	28.12	-1.038	0.1150
♂	21.0000	18.01	19.25	22.11	25.89	28.43	-0.896	0.1149
♀	0.0000	10.39	11.08	12.50	14.07	14.96	0.150	0.0930
♀	0.0192	10.77	11.47	12.90	14.49	15.41	0.080	0.0912
♀	0.0383	11.09	11.78	13.22	14.83	15.75	0.020	0.0896
♀	0.0575	11.46	12.16	13.62	15.26	16.20	-0.031	0.0884
♀	0.0767	11.77	12.48	13.95	15.61	16.58	-0.081	0.0874
♀	0.0958	12.04	12.75	14.24	15.92	16.90	-0.122	0.0866
♀	0.1150	12.28	13.00	14.50	16.21	17.20	-0.157	0.0860
♀	0.1342	12.51	13.24	14.75	16.47	17.48	-0.186	0.0854
♀	0.1533	12.70	13.43	14.96	16.70	17.72	-0.211	0.0850
♀	0.1725	12.88	13.62	15.16	16.92	17.95	-0.232	0.0846
♀	0.1916	13.04	13.78	15.33	17.10	18.14	-0.250	0.0842
♀	0.2300	13.32	14.06	15.63	17.43	18.48	-0.278	0.0836
♀	0.2683	13.55	14.30	15.88	17.70	18.77	-0.299	0.0831
♀	0.3066	13.74	14.50	16.09	17.92	19.00	-0.314	0.0827
♀	0.3450	13.90	14.67	16.27	18.12	19.21	-0.326	0.0824
♀	0.3833	14.03	14.80	16.41	18.27	19.37	-0.335	0.0822
♀	0.4216	14.14	14.91	16.53	18.39	19.50	-0.343	0.0819
♀	0.4600	14.23	15.00	16.63	18.50	19.61	-0.349	0.0818
♀	0.4983	14.29	15.07	16.70	18.58	19.69	-0.354	0.0816
♀	0.5366	14.35	15.13	16.76	18.64	19.76	-0.359	0.0815
♀	0.6133	14.43	15.21	16.85	18.74	19.86	-0.368	0.0813
♀	0.6899	14.48	15.26	16.90	18.79	19.91	-0.376	0.0812
♀	0.7666	14.50	15.28	16.92	18.81	19.93	-0.386	0.0810
♀	0.8433	14.50	15.28	16.91	18.80	19.92	-0.398	0.0808
♀	0.9199	14.48	15.25	16.87	18.75	19.86	-0.413	0.0805
♀	0.9966	14.44	15.21	16.82	18.69	19.80	-0.430	0.0803
♀	2.0000	13.90	14.59	16.07	17.85	18.94	-0.815	0.0785
♀	3.0000	13.62	14.28	15.74	17.58	18.75	-1.184	0.0807
♀	4.0000	13.32	13.99	15.51	17.50	18.83	-1.416	0.0865
♀	5.0000	13.07	13.76	15.37	17.57	19.12	-1.568	0.0943
♀	6.0000	13.01	13.74	15.47	17.94	19.75	-1.663	0.1024
♀	7.0000	13.07	13.84	15.71	18.46	20.57	-1.712	0.1101
♀	8.0000	13.19	14.01	16.00	19.03	21.41	-1.726	0.1168
♀	9.0000	13.35	14.21	16.32	19.58	22.22	-1.715	0.1222
♀	10.0000	13.60	14.50	16.72	20.19	23.01	-1.690	0.1259
♀	11.0000	13.96	14.89	17.21	20.84	23.80	-1.658	0.1279
♀	12.0000	14.43	15.40	17.82	21.58	24.63	-1.633	0.1283
♀	13.0000	15.01	16.02	18.51	22.37	25.49	-1.627	0.1273
♀	14.0000	15.61	16.64	19.19	23.13	26.30	-1.643	0.1255
♀	15.0000	16.17	17.22	19.81	23.80	27.01	-1.679	0.1233
♀	16.0000	16.67	17.73	20.34	24.37	27.61	-1.727	0.1211
♀	17.0000	17.10	18.16	20.78	24.82	28.08	-1.779	0.1189
♀	18.0000	17.48	18.54	21.16	25.20	28.46	-1.831	0.1167
♀	19.0000	17.82	18.88	21.50	25.54	28.79	-1.879	0.1147
♀	20.0000	18.13	19.19	21.80	25.82	29.08	-1.925	0.1128
♀	21.0000	18.43	19.49	22.09	26.10	29.34	-1.967	0.1110

BMIT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	11.01	11.83	13.30	14.69	15.40	1.500	0.0838
♂	0.0192	11.41	12.22	13.72	15.17	15.92	1.300	0.0838
♂	0.0383	11.76	12.57	14.10	15.61	16.40	1.128	0.0839
♂	0.0575	12.15	12.97	14.53	16.09	16.92	0.977	0.0839
♂	0.0767	12.44	13.27	14.86	16.47	17.33	0.860	0.0840
♂	0.0958	12.70	13.53	15.14	16.79	17.68	0.763	0.0840
♂	0.1150	12.92	13.76	15.39	17.08	17.99	0.678	0.0840
♂	0.1342	13.13	13.97	15.62	17.34	18.28	0.601	0.0840
♂	0.1533	13.31	14.16	15.82	17.57	18.53	0.532	0.0841
♂	0.1725	13.49	14.33	16.01	17.79	18.76	0.469	0.0841
♂	0.1916	13.64	14.49	16.18	17.98	18.98	0.411	0.0841
♂	0.2300	13.91	14.76	16.47	18.31	19.34	0.305	0.0841
♂	0.2683	14.13	14.99	16.72	18.60	19.66	0.212	0.0842
♂	0.3066	14.31	15.17	16.91	18.83	19.91	0.128	0.0843
♂	0.3450	14.47	15.32	17.08	19.03	20.14	0.051	0.0844
♂	0.3833	14.60	15.46	17.22	19.19	20.32	-0.019	0.0844
♂	0.4216	14.71	15.57	17.34	19.34	20.49	-0.084	0.0846
♂	0.4600	14.80	15.66	17.44	19.46	20.63	-0.144	0.0847
♂	0.4983	14.89	15.74	17.53	19.57	20.76	-0.200	0.0848
♂	0.5366	14.95	15.81	17.60	19.65	20.86	-0.252	0.0849
♂	0.6133	15.05	15.90	17.70	19.78	21.02	-0.348	0.0852
♂	0.6899	15.11	15.96	17.76	19.87	21.13	-0.434	0.0854
♂	0.7666	15.15	16.00	17.80	19.93	21.22	-0.511	0.0857
♂	0.8433	15.17	16.01	17.81	19.96	21.26	-0.581	0.0859
♂	0.9199	15.17	16.01	17.81	19.97	21.30	-0.645	0.0862
♂	0.9966	15.16	15.99	17.79	19.96	21.31	-0.704	0.0864
♂	2.0000	14.56	15.32	17.05	19.28	20.75	-1.221	0.0890
♂	3.0000	14.07	14.81	16.51	18.80	20.39	-1.505	0.0922
♂	4.0000	13.80	14.54	16.28	18.72	20.47	-1.681	0.0970
♂	5.0000	13.69	14.45	16.26	18.90	20.88	-1.789	0.1028
♂	6.0000	13.70	14.49	16.41	19.30	21.55	-1.850	0.1092
♂	7.0000	13.79	14.61	16.65	19.81	22.36	-1.876	0.1156
♂	8.0000	13.93	14.79	16.96	20.39	23.26	-1.876	0.1216
♂	9.0000	14.15	15.06	17.36	21.08	24.25	-1.856	0.1271
♂	10.0000	14.40	15.36	17.80	21.78	25.24	-1.821	0.1319
♂	11.0000	14.68	15.69	18.26	22.50	26.20	-1.773	0.1361
♂	12.0000	15.02	16.08	18.79	23.26	27.18	-1.717	0.1395
♂	13.0000	15.42	16.53	19.39	24.09	28.18	-1.654	0.1423
♂	14.0000	15.85	17.03	20.03	24.94	29.16	-1.587	0.1444
♂	15.0000	16.28	17.51	20.65	25.74	30.07	-1.518	0.1461
♂	16.0000	16.67	17.95	21.22	26.46	30.86	-1.447	0.1475
♂	17.0000	17.03	18.37	21.76	27.15	31.59	-1.375	0.1488
♂	18.0000	17.34	18.74	22.24	27.74	32.21	-1.304	0.1499
♂	19.0000	17.63	19.07	22.68	28.29	32.77	-1.233	0.1509
♂	20.0000	17.89	19.38	23.10	28.81	33.29	-1.164	0.1519
♀	0.0000	11.98	12.47	13.40	14.33	14.82	1.000	0.0540
♀	0.0192	12.18	12.70	13.70	14.70	15.24	0.920	0.0570
♀	0.0383	12.32	12.88	13.95	15.03	15.60	0.860	0.0600
♀	0.0575	12.47	13.06	14.20	15.36	15.97	0.800	0.0630
♀	0.0767	12.63	13.25	14.45	15.68	16.33	0.745	0.0655
♀	0.0958	12.81	13.47	14.74	16.05	16.76	0.695	0.0684
♀	0.1150	12.96	13.65	14.99	16.38	17.13	0.653	0.0710
♀	0.1342	13.09	13.81	15.21	16.66	17.45	0.615	0.0732
♀	0.1533	13.22	13.96	15.42	16.94	17.76	0.580	0.0752
♀	0.1725	13.34	14.11	15.61	17.18	18.04	0.548	0.0769
♀	0.1916	13.45	14.23	15.78	17.40	18.29	0.519	0.0784
♀	0.2300	13.63	14.46	16.08	17.80	18.74	0.466	0.0811
♀	0.2683	13.79	14.64	16.33	18.13	19.13	0.419	0.0834
♀	0.3066	13.91	14.79	16.53	18.40	19.44	0.376	0.0852
♀	0.3450	14.02	14.91	16.70	18.63	19.70	0.338	0.0868
♀	0.3833	14.10	15.01	16.84	18.82	19.93	0.302	0.0881
♀	0.4216	14.17	15.09	16.95	18.97	20.11	0.270	0.0893
♀	0.4600	14.23	15.16	17.05	19.11	20.28	0.239	0.0903
♀	0.4983	14.27	15.21	17.12	19.21	20.40	0.211	0.0911
♀	0.5366	14.30	15.25	17.18	19.30	20.51	0.184	0.0919
♀	0.6133	14.35	15.30	17.26	19.43	20.67	0.135	0.0932
♀	0.6899	14.36	15.32	17.30	19.50	20.77	0.091	0.0941
♀	0.7666	14.37	15.33	17.32	19.55	20.84	0.051	0.0948
♀	0.8433	14.36	15.33	17.32	19.57	20.88	0.014	0.0954
♀	0.9199	14.35	15.31	17.31	19.58	20.90	-0.020	0.0959
♀	0.9966	14.33	15.29	17.29	19.57	20.90	-0.052	0.0963
♀	2.0000	13.89	14.82	16.81	19.18	20.61	-0.336	0.1006
♀	3.0000	13.66	14.58	16.60	19.07	20.60	-0.506	0.1044
♀	4.0000	13.52	14.45	16.53	19.14	20.81	-0.627	0.1094
♀	5.0000	13.29	14.24	16.38	19.15	20.96	-0.718	0.1152
♀	6.0000	13.14	14.11	16.34	19.30	21.28	-0.797	0.1216
♀	7.0000	13.14	14.15	16.51	19.73	21.95	-0.865	0.1288
♀	8.0000	13.32	14.38	16.90	20.44	22.96	-0.929	0.1360
♀	9.0000	13.65	14.77	17.47	21.38	24.24	-0.990	0.1427
♀	10.0000	14.09	15.27	18.16	22.45	25.70	-1.052	0.1484
♀	11.0000	14.61	15.85	18.92	23.60	27.24	-1.114	0.1528
♀	12.0000	15.18	16.47	19.70	24.74	28.77	-1.180	0.1558
♀	13.0000	15.75	17.08	20.45	25.81	30.21	-1.249	0.1576
♀	14.0000	16.28	17.64	21.12	26.76	31.51	-1.320	0.1586
♀	15.0000	16.75	18.13	21.70	27.59	32.67	-1.392	0.1592
♀	16.0000	17.16	18.56	22.20	28.30	33.71	-1.462	0.1595
♀	17.0000	17.53	18.95	22.64	28.93	34.65	-1.531	0.1596
♀	18.0000	17.87	19.30	23.04	29.52	35.55	-1.597	0.1597
♀	19.0000	18.19	19.63	23.41	30.07	36.41	-1.661	0.1598
♀	20.0000	18.50	19.95	23.77	30.59	37.26	-1.723	0.1598

BMIM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	11.01	11.83	13.30	14.69	15.40	1.500	0.0838
♂	0.0192	11.41	12.22	13.72	15.17	15.92	1.300	0.0838
♂	0.0383	11.76	12.57	14.10	15.61	16.40	1.128	0.0839
♂	0.0575	12.15	12.97	14.53	16.09	16.92	0.977	0.0839
♂	0.0767	12.44	13.27	14.86	16.47	17.33	0.860	0.0840
♂	0.0958	12.70	13.53	15.14	16.79	17.68	0.763	0.0840
♂	0.1150	12.92	13.76	15.39	17.08	17.99	0.678	0.0840
♂	0.1342	13.13	13.97	15.62	17.34	18.28	0.601	0.0840
♂	0.1533	13.31	14.16	15.82	17.57	18.53	0.532	0.0841
♂	0.1725	13.49	14.33	16.01	17.79	18.76	0.469	0.0841
♂	0.1916	13.64	14.49	16.18	17.98	18.98	0.411	0.0841
♂	0.2300	13.91	14.76	16.47	18.31	19.34	0.305	0.0841
♂	0.2683	14.13	14.99	16.72	18.60	19.66	0.212	0.0842
♂	0.3066	14.31	15.17	16.91	18.83	19.91	0.128	0.0843
♂	0.3450	14.47	15.32	17.08	19.03	20.14	0.051	0.0844
♂	0.3833	14.60	15.46	17.22	19.19	20.32	-0.019	0.0844
♂	0.4216	14.71	15.57	17.34	19.34	20.49	-0.084	0.0846
♂	0.4600	14.80	15.66	17.44	19.46	20.63	-0.144	0.0847
♂	0.4983	14.89	15.74	17.53	19.57	20.76	-0.200	0.0848
♂	0.5366	14.95	15.81	17.60	19.65	20.86	-0.252	0.0849
♂	0.6133	15.05	15.90	17.70	19.78	21.02	-0.348	0.0852
♂	0.6899	15.11	15.96	17.76	19.87	21.13	-0.434	0.0854
♂	0.7666	15.15	16.00	17.80	19.93	21.22	-0.511	0.0857
♂	0.8433	15.17	16.01	17.81	19.96	21.26	-0.581	0.0859
♂	0.9199	15.17	16.01	17.81	19.97	21.30	-0.645	0.0862
♂	0.9966	15.16	15.99	17.79	19.96	21.31	-0.704	0.0864
♂	2.0000	14.56	15.32	17.05	19.28	20.75	-1.221	0.0890
♂	3.0000	14.07	14.81	16.51	18.80	20.39	-1.505	0.0922
♂	4.0000	13.80	14.54	16.28	18.72	20.47	-1.681	0.0970
♂	5.0000	13.69	14.45	16.26	18.90	20.88	-1.789	0.1028
♂	6.0000	13.70	14.49	16.41	19.30	21.55	-1.850	0.1092
♂	7.0000	13.79	14.61	16.65	19.81	22.36	-1.876	0.1156
♂	8.0000	13.93	14.79	16.96	20.39	23.26	-1.876	0.1216
♂	9.0000	14.15	15.06	17.36	21.08	24.25	-1.856	0.1271
♂	10.0000	14.40	15.36	17.80	21.78	25.24	-1.821	0.1319
♂	11.0000	14.68	15.69	18.26	22.50	26.20	-1.773	0.1361
♂	12.0000	15.02	16.08	18.79	23.26	27.18	-1.717	0.1395
♂	13.0000	15.42	16.53	19.39	24.09	28.18	-1.654	0.1423
♂	14.0000	15.85	17.03	20.03	24.94	29.16	-1.587	0.1444
♂	15.0000	16.28	17.51	20.65	25.74	30.07	-1.518	0.1461
♂	16.0000	16.67	17.95	21.22	26.46	30.86	-1.447	0.1475
♂	17.0000	17.03	18.37	21.76	27.15	31.59	-1.375	0.1488
♂	18.0000	17.34	18.74	22.24	27.74	32.21	-1.304	0.1499
♂	19.0000	17.63	19.07	22.68	28.29	32.77	-1.233	0.1509
♂	20.0000	17.89	19.38	23.10	28.81	33.29	-1.164	0.1519
♀	0.0000	11.98	12.47	13.40	14.33	14.82	1.000	0.0540
♀	0.0192	12.18	12.70	13.70	14.70	15.24	0.920	0.0570
♀	0.0383	12.32	12.88	13.95	15.03	15.60	0.860	0.0600
♀	0.0575	12.47	13.06	14.20	15.36	15.97	0.800	0.0630
♀	0.0767	12.63	13.25	14.45	15.68	16.33	0.745	0.0655
♀	0.0958	12.81	13.47	14.74	16.05	16.76	0.695	0.0684
♀	0.1150	12.96	13.65	14.99	16.38	17.13	0.653	0.0710
♀	0.1342	13.09	13.81	15.21	16.66	17.45	0.615	0.0732
♀	0.1533	13.22	13.96	15.42	16.94	17.76	0.580	0.0752
♀	0.1725	13.34	14.11	15.61	17.18	18.04	0.548	0.0769
♀	0.1916	13.45	14.23	15.78	17.40	18.29	0.519	0.0784
♀	0.2300	13.63	14.46	16.08	17.80	18.74	0.466	0.0811
♀	0.2683	13.79	14.64	16.33	18.13	19.13	0.419	0.0834
♀	0.3066	13.91	14.79	16.53	18.40	19.44	0.376	0.0852
♀	0.3450	14.02	14.91	16.70	18.63	19.70	0.338	0.0868
♀	0.3833	14.10	15.01	16.84	18.82	19.93	0.302	0.0881
♀	0.4216	14.17	15.09	16.95	18.97	20.11	0.270	0.0893
♀	0.4600	14.23	15.16	17.05	19.11	20.28	0.239	0.0903
♀	0.4983	14.27	15.21	17.12	19.21	20.40	0.211	0.0911
♀	0.5366	14.30	15.25	17.18	19.30	20.51	0.184	0.0919
♀	0.6133	14.35	15.30	17.26	19.43	20.67	0.135	0.0932
♀	0.6899	14.36	15.32	17.30	19.50	20.77	0.091	0.0941
♀	0.7666	14.37	15.33	17.32	19.55	20.84	0.051	0.0948
♀	0.8433	14.36	15.33	17.32	19.57	20.88	0.014	0.0954
♀	0.9199	14.35	15.31	17.31	19.58	20.90	-0.020	0.0959
♀	0.9966	14.33	15.29	17.29	19.57	20.90	-0.052	0.0963
♀	2.0000	13.89	14.82	16.81	19.18	20.61	-0.336	0.1006
♀	3.0000	13.66	14.58	16.60	19.07	20.60	-0.506	0.1044
♀	4.0000	13.52	14.45	16.53	19.14	20.81	-0.627	0.1094
♀	5.0000	13.29	14.24	16.38	19.15	20.96	-0.718	0.1152
♀	6.0000	13.14	14.11	16.34	19.30	21.28	-0.797	0.1216
♀	7.0000	13.14	14.15	16.51	19.73	21.95	-0.865	0.1288
♀	8.0000	13.32	14.38	16.90	20.44	22.96	-0.929	0.1360
♀	9.0000	13.65	14.77	17.47	21.38	24.24	-0.990	0.1427
♀	10.0000	14.09	15.27	18.16	22.45	25.70	-1.052	0.1484
♀	11.0000	14.61	15.85	18.92	23.60	27.24	-1.114	0.1528
♀	12.0000	15.18	16.47	19.70	24.74	28.77	-1.180	0.1558
♀	13.0000	15.75	17.08	20.45	25.81	30.21	-1.249	0.1576
♀	14.0000	16.28	17.64	21.12	26.76	31.51	-1.320	0.1586
♀	15.0000	16.75	18.13	21.70	27.59	32.67	-1.392	0.1592
♀	16.0000	17.16	18.56	22.20	28.30	33.71	-1.462	0.1595
♀	17.0000	17.53	18.95	22.64	28.93	34.65	-1.531	0.1596
♀	18.0000	17.87	19.30	23.04	29.52	35.55	-1.597	0.1597
♀	19.0000	18.19	19.63	23.41	30.07	36.41	-1.661	0.1598
♀	20.0000	18.50	19.95	23.77	30.59	37.26	-1.723	0.1598

HIPN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.00	26.01	27.66	31.00	34.65	36.72	0.2037	0.0880
♂	0.25	31.71	33.53	37.26	41.38	43.74	0.0310	0.0821
♂	0.50	35.62	37.50	41.36	45.68	48.17	-0.1253	0.0770
♂	0.75	37.75	39.60	43.43	47.74	50.24	-0.2601	0.0729
♂	1.00	39.16	40.98	44.74	49.00	51.48	-0.3765	0.0697
♂	2.00	42.96	44.76	48.53	52.86	55.42	-0.6750	0.0648
♂	3.00	45.61	47.48	51.42	56.03	58.79	-0.8612	0.0645
♂	4.00	47.94	49.93	54.17	59.22	62.30	-1.0281	0.0664
♂	5.00	49.92	52.06	56.69	62.31	65.81	-1.1705	0.0699
♂	6.00	51.65	53.96	59.03	65.34	69.35	-1.2791	0.0743
♂	7.00	53.30	55.79	61.34	68.38	72.95	-1.3471	0.0789
♂	8.00	55.43	58.13	64.19	72.00	77.13	-1.3618	0.0829
♂	9.00	57.98	60.90	67.44	75.85	81.37	-1.2889	0.0851
♂	10.00	60.40	63.51	70.44	79.20	84.86	-1.1323	0.0857
♂	11.00	62.59	65.93	73.26	82.32	88.03	-0.9072	0.0863
♂	12.00	64.85	68.48	76.28	85.63	91.36	-0.6180	0.0871
♂	13.00	67.60	71.54	79.83	89.42	95.10	-0.2977	0.0870
♂	14.00	70.94	75.11	83.68	93.27	98.80	-0.0332	0.0845
♂	15.00	74.47	78.65	87.13	96.41	101.66	0.1161	0.0794
♂	16.00	77.17	81.32	89.65	98.66	103.72	0.1848	0.0754
♂	17.00	78.88	83.00	91.26	100.14	105.10	0.2203	0.0732
♂	18.00	80.00	84.12	92.32	101.11	106.02	0.2418	0.0718
♂	19.00	80.84	84.95	93.13	101.88	106.75	0.2574	0.0709
♂	20.00	81.40	85.50	93.65	102.36	107.20	0.2675	0.0702
♂	21.00	81.83	85.93	94.06	102.74	107.56	0.2754	0.0697
♀	0.00	25.55	27.02	30.13	33.76	35.93	-0.3800	0.0868
♀	0.25	31.49	33.21	36.84	41.04	43.55	-0.3992	0.0826
♀	0.50	35.40	37.25	41.12	45.59	48.23	-0.4058	0.0788
♀	0.75	37.30	39.17	43.09	47.57	50.21	-0.4062	0.0757
♀	1.00	38.59	40.46	44.37	48.83	51.45	-0.4104	0.0733
♀	2.00	42.43	44.37	48.40	52.99	55.67	-0.4504	0.0692
♀	3.00	45.54	47.63	51.99	56.98	59.92	-0.5033	0.0699
♀	4.00	47.77	50.04	54.82	60.36	63.65	-0.5608	0.0731
♀	5.00	49.37	51.82	57.02	63.12	66.79	-0.6167	0.0769
♀	6.00	51.18	53.86	59.61	66.46	70.65	-0.6814	0.0819
♀	7.00	53.15	56.08	62.43	70.16	74.95	-0.7409	0.0872
♀	8.00	55.33	58.52	65.53	74.19	79.64	-0.7811	0.0923
♀	9.00	57.80	61.27	68.96	78.55	84.64	-0.7806	0.0966
♀	10.00	60.12	63.86	72.14	82.45	88.98	-0.7160	0.0994
♀	11.00	62.38	66.40	75.20	86.01	92.77	-0.5817	0.1008
♀	12.00	65.31	69.66	78.99	90.10	96.83	-0.3472	0.1003
♀	13.00	68.76	73.44	83.21	94.34	100.85	-0.0437	0.0977
♀	14.00	71.69	76.60	86.61	97.62	103.89	0.2098	0.0946
♀	15.00	73.78	78.84	88.99	99.93	106.04	0.3649	0.0924
♀	16.00	75.23	80.37	90.60	101.51	107.56	0.4486	0.0910
♀	17.00	76.37	81.57	91.86	102.76	108.77	0.5017	0.0900
♀	18.00	77.40	82.66	93.01	103.92	109.92	0.5453	0.0892
♀	19.00	78.08	83.37	93.76	104.66	110.64	0.5726	0.0886
♀	20.00	78.24	83.53	93.93	104.84	110.81	0.5791	0.0885
♀	21.00	78.77	84.09	94.52	105.43	111.39	0.6011	0.0881

WSTN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.00	25.09	27.76	32.37	36.56	38.65	1.6973	0.1055
♂	0.25	33.09	35.31	39.35	43.23	45.23	1.4120	0.0785
♂	0.50	36.04	38.13	42.04	45.89	47.91	1.1371	0.0720
♂	0.75	37.53	39.56	43.42	47.34	49.43	0.8694	0.0699
♂	1.00	38.46	40.45	44.30	48.28	50.44	0.6206	0.0690
♂	2.00	41.25	43.11	46.93	51.17	53.59	-0.2118	0.0668
♂	3.00	44.09	45.89	49.68	54.11	56.77	-0.8794	0.0642
♂	4.00	45.58	47.34	51.18	55.87	58.81	-1.4273	0.0643
♂	5.00	46.36	48.14	52.10	57.17	60.49	-1.8682	0.0665
♂	6.00	47.31	49.13	53.28	58.82	62.62	-2.2043	0.0693
♂	7.00	48.50	50.39	54.79	60.88	65.24	-2.4417	0.0725
♂	8.00	49.78	51.77	56.46	63.16	68.13	-2.5899	0.0759
♂	9.00	51.09	53.18	58.16	65.45	71.01	-2.6630	0.0790
♂	10.00	52.43	54.62	59.91	67.75	73.87	-2.6766	0.0818
♂	11.00	53.91	56.22	61.80	70.15	76.72	-2.6454	0.0840
♂	12.00	55.58	58.00	63.88	72.66	79.56	-2.5825	0.0855
♂	13.00	57.38	59.92	66.06	75.18	82.28	-2.4993	0.0862
♂	14.00	59.23	61.88	68.24	77.58	84.74	-2.4053	0.0861
♂	15.00	61.04	63.79	70.33	79.80	86.93	-2.3060	0.0855
♂	16.00	62.72	65.56	72.27	81.83	88.89	-2.2040	0.0848
♂	17.00	64.24	67.15	74.01	83.63	90.60	-2.1003	0.0841
♂	18.00	65.57	68.57	75.56	85.24	92.14	-1.9957	0.0836
♂	19.00	66.77	69.84	76.98	86.72	93.57	-1.8914	0.0833
♂	20.00	67.89	71.05	78.31	88.12	94.91	-1.7896	0.0830
♂	21.00	68.97	72.20	79.60	89.46	96.20	-1.6911	0.0827
♀	0.00	24.55	27.53	32.08	35.80	37.54	2.5643	0.0988
♀	0.25	32.22	34.41	38.38	42.17	44.12	1.4693	0.0788
♀	0.50	35.08	37.11	40.96	44.83	46.89	0.9242	0.0736
♀	0.75	36.51	38.46	42.27	46.23	48.39	0.5594	0.0717
♀	1.00	37.52	39.42	43.17	47.19	49.42	0.2794	0.0702
♀	2.00	40.97	42.73	46.38	50.50	52.90	-0.4570	0.0651
♀	3.00	43.60	45.39	49.20	53.68	56.38	-0.9401	0.0653
♀	4.00	44.71	46.55	50.56	55.47	58.55	-1.3031	0.0681
♀	5.00	45.22	47.11	51.34	56.71	60.21	-1.5987	0.0718
♀	6.00	46.04	48.01	52.50	58.43	62.45	-1.8450	0.0758
♀	7.00	47.19	49.26	54.04	60.61	65.24	-2.0475	0.0797
♀	8.00	48.44	50.59	55.68	62.88	68.15	-2.2093	0.0832
♀	9.00	49.70	51.95	57.31	65.12	71.05	-2.3334	0.0862
♀	10.00	51.03	53.35	58.96	67.30	73.79	-2.4231	0.0883
♀	11.00	52.43	54.82	60.64	69.41	76.35	-2.4846	0.0895
♀	12.00	53.92	56.38	62.38	71.48	78.77	-2.5265	0.0899
♀	13.00	55.42	57.94	64.08	73.40	80.89	-2.5558	0.0896
♀	14.00	56.77	59.33	65.57	75.05	82.66	-2.5771	0.0890
♀	15.00	57.93	60.52	66.82	76.39	84.05	-2.5938	0.0882
♀	16.00	58.90	61.51	67.87	77.50	85.19	-2.6088	0.0875
♀	17.00	59.72	62.35	68.75	78.43	86.16	-2.6228	0.0869
♀	18.00	60.43	63.08	69.51	79.24	86.99	-2.6352	0.0864
♀	19.00	61.04	63.71	70.17	79.94	87.72	-2.6456	0.0860
♀	20.00	61.59	64.26	70.76	80.55	88.35	-2.6542	0.0856
♀	21.00	62.09	64.77	71.30	81.13	88.95	-2.6616	0.0853

WHRN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.00	0.93	0.99	1.11	1.24	1.31	0.4529	0.0854
♂	0.25	0.90	0.95	1.04	1.14	1.19	0.3986	0.0712
♂	0.50	0.89	0.93	1.01	1.10	1.15	0.3457	0.0658
♂	0.75	0.88	0.92	1.00	1.08	1.13	0.3077	0.0623
♂	1.00	0.88	0.91	0.99	1.07	1.11	0.2776	0.0596
♂	2.00	0.87	0.90	0.97	1.04	1.08	0.1621	0.0538
♂	3.00	0.87	0.90	0.96	1.03	1.07	0.0287	0.0529
♂	4.00	0.85	0.88	0.94	1.01	1.05	-0.0956	0.0540
♂	5.00	0.83	0.86	0.92	0.99	1.03	-0.2049	0.0554
♂	6.00	0.81	0.84	0.90	0.97	1.01	-0.3031	0.0566
♂	7.00	0.80	0.83	0.89	0.96	1.00	-0.3918	0.0575
♂	8.00	0.79	0.82	0.88	0.95	0.99	-0.4712	0.0582
♂	9.00	0.77	0.80	0.87	0.94	0.98	-0.5420	0.0586
♂	10.00	0.76	0.79	0.86	0.92	0.96	-0.6052	0.0589
♂	11.00	0.76	0.79	0.85	0.91	0.95	-0.6603	0.0591
♂	12.00	0.75	0.78	0.84	0.91	0.95	-0.7057	0.0595
♂	13.00	0.74	0.77	0.83	0.90	0.94	-0.7406	0.0600
♂	14.00	0.74	0.76	0.82	0.89	0.93	-0.7656	0.0606
♂	15.00	0.73	0.76	0.82	0.89	0.93	-0.7823	0.0611
♂	16.00	0.73	0.76	0.82	0.89	0.93	-0.7927	0.0617
♂	17.00	0.73	0.76	0.82	0.89	0.93	-0.7981	0.0623
♂	18.00	0.73	0.76	0.82	0.90	0.94	-0.7999	0.0628
♂	19.00	0.73	0.76	0.83	0.90	0.94	-0.7994	0.0634
♂	20.00	0.74	0.77	0.83	0.90	0.95	-0.7979	0.0640
♂	21.00	0.74	0.77	0.83	0.91	0.95	-0.7963	0.0646
♀	0.00	0.91	0.99	1.11	1.22	1.27	2.3573	0.0813
♀	0.25	0.89	0.94	1.03	1.12	1.17	1.1616	0.0701
♀	0.50	0.87	0.91	1.00	1.08	1.13	0.8780	0.0652
♀	0.75	0.87	0.91	0.98	1.06	1.10	0.6838	0.0615
♀	1.00	0.86	0.90	0.97	1.05	1.09	0.5296	0.0586
♀	2.00	0.87	0.90	0.96	1.02	1.06	0.0723	0.0518
♀	3.00	0.86	0.89	0.95	1.01	1.04	-0.2644	0.0503
♀	4.00	0.84	0.86	0.92	0.99	1.03	-0.5321	0.0519
♀	5.00	0.81	0.84	0.90	0.97	1.01	-0.7563	0.0548
♀	6.00	0.79	0.82	0.88	0.95	0.99	-0.9513	0.0575
♀	7.00	0.77	0.80	0.86	0.93	0.98	-1.1261	0.0597
♀	8.00	0.76	0.79	0.85	0.92	0.97	-1.2867	0.0614
♀	9.00	0.74	0.77	0.83	0.91	0.96	-1.4373	0.0628
♀	10.00	0.73	0.76	0.82	0.90	0.94	-1.5804	0.0640
♀	11.00	0.72	0.75	0.81	0.88	0.93	-1.7159	0.0652
♀	12.00	0.70	0.73	0.79	0.87	0.92	-1.8437	0.0663
♀	13.00	0.69	0.72	0.78	0.86	0.91	-1.9639	0.0675
♀	14.00	0.68	0.71	0.77	0.85	0.90	-2.0777	0.0688
♀	15.00	0.67	0.70	0.76	0.84	0.89	-2.1859	0.0700
♀	16.00	0.67	0.69	0.75	0.84	0.89	-2.2887	0.0711
♀	17.00	0.67	0.69	0.75	0.83	0.89	-2.3865	0.0722
♀	18.00	0.66	0.69	0.75	0.84	0.90	-2.4794	0.0732
♀	19.00	0.66	0.69	0.75	0.84	0.90	-2.5681	0.0742
♀	20.00	0.66	0.69	0.75	0.84	0.90	-2.6531	0.0751
♀	21.00	0.66	0.69	0.75	0.84	0.91	-2.7349	0.0759

SITN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.00	32.24	33.55	35.77	37.75	38.71	3.0601	0.0455
♂	0.25	37.66	39.15	41.69	43.95	45.05	3.0725	0.0446
♂	0.50	41.32	42.93	45.67	48.10	49.29	3.0872	0.0439
♂	0.75	43.47	45.16	48.04	50.59	51.84	3.0921	0.0438
♂	1.00	44.97	46.72	49.71	52.36	53.66	3.0870	0.0440
♂	2.00	48.28	50.25	53.60	56.57	58.02	3.0305	0.0457
♂	3.00	50.32	52.41	55.95	59.10	60.64	2.9705	0.0464
♂	4.00	52.82	55.01	58.74	62.07	63.71	2.8863	0.0467
♂	5.00	55.64	57.91	61.83	65.35	67.09	2.7679	0.0467
♂	6.00	58.49	60.84	64.92	68.61	70.44	2.6245	0.0465
♂	7.00	61.13	63.55	67.78	71.66	73.59	2.4744	0.0465
♂	8.00	63.55	66.05	70.45	74.51	76.54	2.3312	0.0467
♂	9.00	65.51	68.08	72.64	76.88	79.01	2.2124	0.0471
♂	10.00	67.15	69.79	74.50	78.90	81.12	2.1149	0.0476
♂	11.00	68.81	71.54	76.43	81.02	83.35	2.0231	0.0483
♂	12.00	70.89	73.75	78.89	83.74	86.20	1.9309	0.0493
♂	13.00	73.53	76.54	81.97	87.10	89.72	1.8682	0.0502
♂	14.00	76.75	79.87	85.48	90.79	93.50	1.8706	0.0498
♂	15.00	80.34	83.43	88.99	94.26	96.93	1.9251	0.0474
♂	16.00	83.21	86.19	91.56	96.63	99.21	1.9851	0.0444
♂	17.00	84.95	87.83	93.02	97.93	100.43	2.0238	0.0423
♂	18.00	85.97	88.78	93.85	98.66	101.10	2.0466	0.0410
♂	19.00	86.52	89.30	94.31	99.06	101.47	2.0591	0.0403
♂	20.00	86.67	89.44	94.43	99.16	101.57	2.0619	0.0401
♂	21.00	86.96	89.70	94.65	99.35	101.74	2.0603	0.0397
♀	0.00	31.56	32.68	34.75	36.75	37.78	1.5876	0.0456
♀	0.25	36.96	38.27	40.67	43.00	44.21	1.5104	0.0454
♀	0.50	40.68	42.10	44.74	47.31	48.65	1.4445	0.0454
♀	0.75	42.69	44.19	46.96	49.68	51.09	1.3861	0.0456
♀	1.00	44.25	45.81	48.72	51.57	53.06	1.3363	0.0461
♀	2.00	47.47	49.20	52.43	55.61	57.28	1.2341	0.0477
♀	3.00	49.37	51.20	54.62	57.99	59.76	1.1943	0.0485
♀	4.00	52.13	54.09	57.76	61.39	63.30	1.1638	0.0493
♀	5.00	55.15	57.24	61.16	65.03	67.07	1.1469	0.0497
♀	6.00	57.83	60.02	64.15	68.23	70.38	1.1441	0.0499
♀	7.00	60.24	62.52	66.81	71.05	73.28	1.1529	0.0498
♀	8.00	62.73	65.12	69.57	73.98	76.29	1.1758	0.0497
♀	9.00	65.20	67.67	72.29	76.84	79.23	1.2174	0.0495
♀	10.00	67.44	69.99	74.73	79.39	81.83	1.2772	0.0491
♀	11.00	69.71	72.33	77.18	81.92	84.40	1.3567	0.0485
♀	12.00	72.52	75.18	80.10	84.88	87.36	1.4707	0.0472
♀	13.00	75.58	78.24	83.13	87.84	90.27	1.6098	0.0450
♀	14.00	78.11	80.72	85.50	90.09	92.45	1.7349	0.0427
♀	15.00	79.83	82.39	87.06	91.53	93.82	1.8232	0.0409
♀	16.00	81.00	83.52	88.11	92.49	94.74	1.8825	0.0397
♀	17.00	81.49	83.99	88.54	92.90	95.13	1.9074	0.0392
♀	18.00	81.67	84.17	88.71	93.04	95.27	1.9167	0.0390
♀	19.00	82.00	84.49	88.99	93.30	95.51	1.9331	0.0386
♀	20.00	82.40	84.87	89.35	93.62	95.81	1.9532	0.0382
♀	21.00	82.71	85.17	89.63	93.88	96.06	1.9692	0.0379

SHHN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.00	0.64	0.66	0.69	0.72	0.73	5.2236	0.0335
♂	0.25	0.63	0.65	0.68	0.71	0.72	5.2236	0.0337
♂	0.50	0.62	0.64	0.67	0.70	0.71	5.2236	0.0337
♂	0.75	0.61	0.63	0.66	0.69	0.70	5.2236	0.0337
♂	1.00	0.60	0.62	0.65	0.67	0.69	5.2236	0.0337
♂	2.00	0.56	0.57	0.60	0.63	0.64	5.2236	0.0337
♂	3.00	0.53	0.54	0.57	0.59	0.60	5.2236	0.0333
♂	4.00	0.51	0.53	0.55	0.58	0.59	5.2236	0.0325
♂	5.00	0.51	0.52	0.55	0.57	0.58	5.2236	0.0314
♂	6.00	0.50	0.52	0.54	0.56	0.57	5.2236	0.0302
♂	7.00	0.50	0.51	0.54	0.55	0.56	5.2236	0.0289
♂	8.00	0.50	0.51	0.53	0.55	0.56	5.2236	0.0277
♂	9.00	0.49	0.51	0.53	0.54	0.55	5.2236	0.0267
♂	10.00	0.49	0.50	0.52	0.54	0.54	5.2236	0.0259
♂	11.00	0.49	0.50	0.52	0.53	0.54	5.2236	0.0254
♂	12.00	0.48	0.49	0.51	0.53	0.54	5.2236	0.0252
♂	13.00	0.48	0.49	0.51	0.52	0.53	5.2236	0.0253
♂	14.00	0.48	0.49	0.51	0.52	0.53	5.2236	0.0256
♂	15.00	0.48	0.49	0.51	0.53	0.53	5.2236	0.0261
♂	16.00	0.48	0.49	0.51	0.53	0.54	5.2236	0.0267
♂	17.00	0.48	0.49	0.51	0.53	0.54	5.2236	0.0273
♂	18.00	0.48	0.49	0.51	0.53	0.54	5.2236	0.0279
♂	19.00	0.48	0.50	0.52	0.53	0.54	5.2236	0.0284
♂	20.00	0.48	0.50	0.52	0.53	0.54	5.2236	0.0290
♂	21.00	0.48	0.49	0.51	0.53	0.54	5.2236	0.0295
♀	0.00	0.64	0.66	0.69	0.72	0.74	4.7230	0.0360
♀	0.25	0.63	0.65	0.68	0.71	0.73	4.7230	0.0363
♀	0.50	0.62	0.64	0.67	0.70	0.71	4.7230	0.0362
♀	0.75	0.61	0.63	0.66	0.69	0.70	4.7230	0.0362
♀	1.00	0.59	0.62	0.65	0.68	0.69	4.7230	0.0361
♀	2.00	0.55	0.57	0.60	0.63	0.64	4.7230	0.0356
♀	3.00	0.52	0.54	0.57	0.59	0.60	4.7230	0.0348
♀	4.00	0.51	0.53	0.55	0.57	0.59	4.7230	0.0336
♀	5.00	0.51	0.52	0.55	0.57	0.58	4.7230	0.0322
♀	6.00	0.50	0.52	0.54	0.56	0.57	4.7230	0.0307
♀	7.00	0.50	0.51	0.54	0.55	0.56	4.7230	0.0294
♀	8.00	0.50	0.51	0.53	0.55	0.56	4.7230	0.0283
♀	9.00	0.49	0.51	0.53	0.54	0.55	4.7230	0.0275
♀	10.00	0.49	0.50	0.52	0.54	0.55	4.7230	0.0271
♀	11.00	0.49	0.50	0.52	0.54	0.54	4.7230	0.0269
♀	12.00	0.49	0.50	0.52	0.53	0.54	4.7230	0.0269
♀	13.00	0.49	0.50	0.52	0.53	0.54	4.7230	0.0269
♀	14.00	0.49	0.50	0.52	0.54	0.54	4.7230	0.0270
♀	15.00	0.49	0.50	0.52	0.54	0.55	4.7230	0.0269
♀	16.00	0.49	0.50	0.52	0.54	0.55	4.7230	0.0269
♀	17.00	0.49	0.51	0.52	0.54	0.55	4.7230	0.0269
♀	18.00	0.49	0.51	0.52	0.54	0.55	4.7230	0.0268
♀	19.00	0.49	0.51	0.53	0.54	0.55	4.7230	0.0268
♀	20.00	0.49	0.51	0.53	0.54	0.55	4.7230	0.0267
♀	21.00	0.50	0.51	0.53	0.54	0.55	4.7230	0.0267

HCN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	33.05	33.96	35.67	37.38	38.29	1	0.0375
♂	0.0192	33.46	34.37	36.10	37.83	38.74	1	0.0373
♂	0.0383	33.85	34.77	36.51	38.24	39.16	1	0.0371
♂	0.0575	34.31	35.24	36.98	38.73	39.65	1	0.0368
♂	0.0767	34.77	35.70	37.45	39.20	40.13	1	0.0365
♂	0.0958	35.23	36.16	37.91	39.66	40.59	1	0.0361
♂	0.1150	35.67	36.60	38.35	40.11	41.03	1	0.0357
♂	0.1342	36.09	37.02	38.77	40.53	41.46	1	0.0353
♂	0.1533	36.49	37.42	39.18	40.94	41.87	1	0.0350
♂	0.1725	36.88	37.81	39.57	41.32	42.25	1	0.0346
♂	0.1916	37.25	38.18	39.93	41.69	42.62	1	0.0343
♂	0.2300	37.94	38.87	40.61	42.35	43.28	1	0.0335
♂	0.2683	38.58	39.50	41.23	42.96	43.88	1	0.0328
♂	0.3066	39.17	40.08	41.81	43.54	44.46	1	0.0323
♂	0.3450	39.73	40.64	42.35	44.07	44.98	1	0.0316
♂	0.3833	40.22	41.13	42.85	44.57	45.48	1	0.0313
♂	0.4216	40.69	41.60	43.31	45.03	45.94	1	0.0309
♂	0.4600	41.11	42.02	43.73	45.45	46.35	1	0.0306
♂	0.4983	41.47	42.39	44.12	45.85	46.76	1	0.0306
♂	0.5366	41.82	42.74	44.47	46.20	47.12	1	0.0304
♂	0.6133	42.40	43.33	45.09	46.85	47.78	1	0.0304
♂	0.6899	42.88	43.83	45.62	47.42	48.37	1	0.0307
♂	0.7666	43.30	44.27	46.09	47.91	48.87	1	0.0308
♂	0.8433	43.67	44.64	46.49	48.34	49.32	1	0.0310
♂	0.9199	43.97	44.97	46.85	48.74	49.73	1	0.0314
♂	0.9966	44.25	45.26	47.17	49.08	50.09	1	0.0316
♂	2.0000	46.08	47.19	49.28	51.37	52.48	1	0.0331
♂	3.0000	47.27	48.41	50.56	52.71	53.85	1	0.0332
♂	4.0000	47.87	49.03	51.21	53.38	54.54	1	0.0332
♂	5.0000	48.14	49.30	51.49	53.69	54.85	1	0.0332
♂	6.0000	48.38	49.54	51.72	53.90	55.05	1	0.0329
♂	7.0000	48.67	49.84	52.04	54.25	55.42	1	0.0331
♂	8.0000	49.10	50.26	52.45	54.64	55.80	1	0.0326
♂	9.0000	49.48	50.65	52.85	55.05	56.22	1	0.0325
♂	10.0000	49.88	51.05	53.26	55.46	56.63	1	0.0323
♂	11.0000	50.29	51.46	53.67	55.89	57.06	1	0.0322
♂	12.0000	50.73	51.90	54.12	56.34	57.52	1	0.0320
♂	13.0000	51.25	52.42	54.64	56.86	58.04	1	0.0317
♂	14.0000	51.84	53.02	55.25	57.48	58.66	1	0.0315
♂	15.0000	52.47	53.65	55.88	58.11	59.28	1	0.0311
♂	16.0000	52.99	54.18	56.42	58.66	59.85	1	0.0310
♂	17.0000	53.39	54.58	56.82	59.06	60.25	1	0.0308
♂	18.0000	53.69	54.88	57.12	59.36	60.55	1	0.0306
♂	19.0000	53.89	55.09	57.34	59.60	60.80	1	0.0307
♂	20.0000	54.13	55.32	57.56	59.81	60.99	1	0.0304
♂	21.0000	54.39	55.58	57.82	60.07	61.25	1	0.0303
♀	0.0000	32.57	33.43	35.04	36.65	37.51	1	0.0359
♀	0.0192	32.94	33.80	35.43	37.06	37.92	1	0.0358
♀	0.0383	33.30	34.17	35.81	37.45	38.32	1	0.0357
♀	0.0575	33.64	34.51	36.15	37.80	38.67	1	0.0355
♀	0.0767	34.03	34.90	36.55	38.20	39.07	1	0.0352
♀	0.0958	34.42	35.30	36.95	38.60	39.48	1	0.0349
♀	0.1150	34.82	35.69	37.34	38.99	39.87	1	0.0345
♀	0.1342	35.19	36.07	37.73	39.39	40.27	1	0.0344
♀	0.1533	35.56	36.44	38.11	39.77	40.66	1	0.0341
♀	0.1725	35.94	36.82	38.48	40.14	41.02	1	0.0337
♀	0.1916	36.27	37.16	38.83	40.51	41.40	1	0.0337
♀	0.2300	36.94	37.82	39.50	41.18	42.06	1	0.0331
♀	0.2683	37.53	38.43	40.12	41.81	42.70	1	0.0329
♀	0.3066	38.12	39.01	40.69	42.36	43.25	1	0.0322
♀	0.3450	38.62	39.52	41.21	42.90	43.79	1	0.0320
♀	0.3833	39.09	39.99	41.68	43.38	44.27	1	0.0317
♀	0.4216	39.53	40.43	42.12	43.81	44.70	1	0.0313
♀	0.4600	39.90	40.81	42.51	44.22	45.12	1	0.0313
♀	0.4983	40.27	41.17	42.87	44.57	45.48	1	0.0310
♀	0.5366	40.62	41.51	43.20	44.89	45.78	1	0.0305
♀	0.6133	41.16	42.06	43.78	45.50	46.41	1	0.0306
♀	0.6899	41.64	42.56	44.29	46.02	46.94	1	0.0305
♀	0.7666	42.06	42.99	44.74	46.50	47.43	1	0.0306
♀	0.8433	42.45	43.38	45.16	46.93	47.86	1	0.0306
♀	0.9199	42.80	43.74	45.52	47.30	48.24	1	0.0305
♀	0.9966	43.08	44.04	45.85	47.66	48.62	1	0.0308
♀	2.0000	45.08	46.12	48.08	50.03	51.07	1	0.0318
♀	3.0000	46.16	47.24	49.28	51.32	52.40	1	0.0323
♀	4.0000	46.93	48.03	50.11	52.18	53.28	1	0.0323
♀	5.0000	47.39	48.50	50.59	52.67	53.78	1	0.0322
♀	6.0000	47.66	48.78	50.89	53.00	54.12	1	0.0324
♀	7.0000	47.96	49.09	51.21	53.34	54.47	1	0.0324
♀	8.0000	48.40	49.52	51.65	53.77	54.90	1	0.0321
♀	9.0000	48.89	50.03	52.18	54.34	55.48	1	0.0322
♀	10.0000	49.44	50.58	52.73	54.89	56.03	1	0.0319
♀	11.0000	49.98	51.12	53.27	55.42	56.56	1	0.0315
♀	12.0000	50.52	51.65	53.81	55.96	57.10	1	0.0312
♀	13.0000	50.98	52.13	54.29	56.46	57.60	1	0.0311
♀	14.0000	51.37	52.51	54.66	56.81	57.95	1	0.0307
♀	15.0000	51.62	52.76	54.91	57.06	58.20	1	0.0306
♀	16.0000	51.79	52.93	55.09	57.24	58.38	1	0.0305
♀	17.0000	51.91	53.05	55.20	57.35	58.49	1	0.0304
♀	18.0000	51.96	53.10	55.25	57.40	58.54	1	0.0304
♀	19.0000	51.97	53.11	55.26	57.41	58.55	1	0.0304
♀	20.0000	51.99	53.13	55.27	57.40	58.54	1	0.0302
♀	21.0000	52.01	53.15	55.29	57.43	58.56	1	0.0302

HCT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	34.08	34.81	36.20	37.59	38.32	1	0.0299
♂	0.0192	34.50	35.23	36.62	38.01	38.74	1	0.0296
♂	0.0383	34.89	35.63	37.02	38.41	39.15	1	0.0293
♂	0.0575	35.28	36.01	37.41	38.81	39.54	1	0.0291
♂	0.0767	35.66	36.40	37.79	39.18	39.92	1	0.0288
♂	0.0958	36.03	36.77	38.17	39.57	40.31	1	0.0286
♂	0.1150	36.39	37.13	38.53	39.93	40.67	1	0.0284
♂	0.1342	36.77	37.51	38.91	40.31	41.05	1	0.0281
♂	0.1533	37.16	37.90	39.31	40.72	41.46	1	0.0279
♂	0.1725	37.56	38.31	39.71	41.11	41.86	1	0.0276
♂	0.1916	37.94	38.68	40.09	41.50	42.24	1	0.0274
♂	0.2300	38.66	39.40	40.81	42.22	42.96	1	0.0269
♂	0.2683	39.29	40.03	41.43	42.83	43.57	1	0.0264
♂	0.3066	39.83	40.57	41.97	43.37	44.11	1	0.0260
♂	0.3450	40.33	41.07	42.46	43.85	44.59	1	0.0256
♂	0.3833	40.80	41.53	42.92	44.31	45.04	1	0.0252
♂	0.4216	41.24	41.97	43.36	44.75	45.48	1	0.0250
♂	0.4600	41.64	42.38	43.78	45.18	45.92	1	0.0249
♂	0.4983	42.00	42.75	44.15	45.55	46.30	1	0.0248
♂	0.5366	42.33	43.07	44.48	45.89	46.63	1	0.0247
♂	0.6133	42.86	43.61	45.04	46.47	47.22	1	0.0247
♂	0.6899	43.30	44.06	45.50	46.94	47.70	1	0.0247
♂	0.7666	43.71	44.47	45.92	47.37	48.13	1	0.0246
♂	0.8433	44.09	44.86	46.32	47.78	48.55	1	0.0246
♂	0.9199	44.44	45.22	46.69	48.16	48.94	1	0.0246
♂	0.9966	44.74	45.53	47.01	48.49	49.28	1	0.0246
♂	2.0000	46.97	47.79	49.35	50.91	51.73	1	0.0246
♀	0.0000	33.41	34.14	35.50	36.86	37.59	1	0.0300
♀	0.0192	33.79	34.52	35.90	37.28	38.01	1	0.0300
♀	0.0383	34.07	34.81	36.20	37.59	38.33	1	0.0300
♀	0.0575	34.45	35.19	36.60	38.01	38.75	1	0.0300
♀	0.0767	34.73	35.48	36.90	38.32	39.07	1	0.0300
♀	0.0958	35.04	35.80	37.23	38.67	39.43	1	0.0301
♀	0.1150	35.35	36.12	37.57	39.02	39.78	1	0.0301
♀	0.1342	35.66	36.43	37.90	39.36	40.13	1	0.0301
♀	0.1533	35.96	36.74	38.22	39.70	40.48	1	0.0302
♀	0.1725	36.25	37.04	38.53	40.02	40.81	1	0.0302
♀	0.1916	36.54	37.33	38.84	40.34	41.13	1	0.0302
♀	0.2300	37.08	37.89	39.41	40.93	41.73	1	0.0301
♀	0.2683	37.57	38.39	39.92	41.46	42.27	1	0.0300
♀	0.3066	38.05	38.87	40.41	41.94	42.76	1	0.0297
♀	0.3450	38.51	39.32	40.87	42.41	43.23	1	0.0295
♀	0.3833	38.94	39.76	41.31	42.87	43.69	1	0.0293
♀	0.4216	39.36	40.18	41.74	43.30	44.12	1	0.0291
♀	0.4600	39.73	40.56	42.13	43.69	44.52	1	0.0290
♀	0.4983	40.08	40.91	42.48	44.06	44.89	1	0.0289
♀	0.5366	40.41	41.24	42.82	44.39	45.22	1	0.0287
♀	0.6133	41.00	41.84	43.42	45.01	45.85	1	0.0285
♀	0.6899	41.52	42.36	43.95	45.55	46.39	1	0.0283
♀	0.7666	41.99	42.83	44.43	46.03	46.88	1	0.0281
♀	0.8433	42.44	43.29	44.88	46.48	47.33	1	0.0278
♀	0.9199	42.84	43.69	45.30	46.91	47.76	1	0.0277
♀	0.9966	43.20	44.05	45.66	47.27	48.12	1	0.0275
♀	2.0000	45.37	46.24	47.88	49.52	50.39	1	0.0268

HCM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000	34.08	34.81	36.20	37.59	38.32	1	0.0299
♂	0.0192	34.50	35.23	36.62	38.01	38.74	1	0.0296
♂	0.0383	34.89	35.63	37.02	38.41	39.15	1	0.0293
♂	0.0575	35.28	36.01	37.41	38.81	39.54	1	0.0291
♂	0.0767	35.66	36.40	37.79	39.18	39.92	1	0.0288
♂	0.0958	36.03	36.77	38.17	39.57	40.31	1	0.0286
♂	0.1150	36.39	37.13	38.53	39.93	40.67	1	0.0284
♂	0.1342	36.77	37.51	38.91	40.31	41.05	1	0.0281
♂	0.1533	37.16	37.90	39.31	40.72	41.46	1	0.0279
♂	0.1725	37.56	38.31	39.71	41.11	41.86	1	0.0276
♂	0.1916	37.94	38.68	40.09	41.50	42.24	1	0.0274
♂	0.2300	38.66	39.40	40.81	42.22	42.96	1	0.0269
♂	0.2683	39.29	40.03	41.43	42.83	43.57	1	0.0264
♂	0.3066	39.83	40.57	41.97	43.37	44.11	1	0.0260
♂	0.3450	40.33	41.07	42.46	43.85	44.59	1	0.0256
♂	0.3833	40.80	41.53	42.92	44.31	45.04	1	0.0252
♂	0.4216	41.24	41.97	43.36	44.75	45.48	1	0.0250
♂	0.4600	41.64	42.38	43.78	45.18	45.92	1	0.0249
♂	0.4983	42.00	42.75	44.15	45.55	46.30	1	0.0248
♂	0.5366	42.33	43.07	44.48	45.89	46.63	1	0.0247
♂	0.6133	42.86	43.61	45.04	46.47	47.22	1	0.0247
♂	0.6899	43.30	44.06	45.50	46.94	47.70	1	0.0247
♂	0.7666	43.71	44.47	45.92	47.37	48.13	1	0.0246
♂	0.8433	44.09	44.86	46.32	47.78	48.55	1	0.0246
♂	0.9199	44.44	45.22	46.69	48.16	48.94	1	0.0246
♂	0.9966	44.74	45.53	47.01	48.49	49.28	1	0.0246
♂	2.0000	46.97	47.79	49.35	50.91	51.73	1	0.0246
♀	0.0000	33.41	34.14	35.50	36.86	37.59	1	0.0300
♀	0.0192	33.79	34.52	35.90	37.28	38.01	1	0.0300
♀	0.0383	34.07	34.81	36.20	37.59	38.33	1	0.0300
♀	0.0575	34.45	35.19	36.60	38.01	38.75	1	0.0300
♀	0.0767	34.73	35.48	36.90	38.32	39.07	1	0.0300
♀	0.0958	35.04	35.80	37.23	38.67	39.43	1	0.0301
♀	0.1150	35.35	36.12	37.57	39.02	39.78	1	0.0301
♀	0.1342	35.66	36.43	37.90	39.36	40.13	1	0.0301
♀	0.1533	35.96	36.74	38.22	39.70	40.48	1	0.0302
♀	0.1725	36.25	37.04	38.53	40.02	40.81	1	0.0302
♀	0.1916	36.54	37.33	38.84	40.34	41.13	1	0.0302
♀	0.2300	37.08	37.89	39.41	40.93	41.73	1	0.0301
♀	0.2683	37.57	38.39	39.92	41.46	42.27	1	0.0300
♀	0.3066	38.05	38.87	40.41	41.94	42.76	1	0.0297
♀	0.3450	38.51	39.32	40.87	42.41	43.23	1	0.0295
♀	0.3833	38.94	39.76	41.31	42.87	43.69	1	0.0293
♀	0.4216	39.36	40.18	41.74	43.30	44.12	1	0.0291
♀	0.4600	39.73	40.56	42.13	43.69	44.52	1	0.0290
♀	0.4983	40.08	40.91	42.48	44.06	44.89	1	0.0289
♀	0.5366	40.41	41.24	42.82	44.39	45.22	1	0.0287
♀	0.6133	41.00	41.84	43.42	45.01	45.85	1	0.0285
♀	0.6899	41.52	42.36	43.95	45.55	46.39	1	0.0283
♀	0.7666	41.99	42.83	44.43	46.03	46.88	1	0.0281
♀	0.8433	42.44	43.29	44.88	46.48	47.33	1	0.0278
♀	0.9199	42.84	43.69	45.30	46.91	47.76	1	0.0277
♀	0.9966	43.20	44.05	45.66	47.27	48.12	1	0.0275
♀	2.0000	45.37	46.24	47.88	49.52	50.39	1	0.0268

portug.ref

Citations

• Chaves, R., Baxter-Jones, A., Souza, M., Santos, D. & Maia, J. Height, weight, body composition, and waist circumference references for 7-to 17-year-old children from rural Portugal. HOMO-Journal of Comparative Human Biology 66, 264–277 (2015).

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	1.09	1.14	1.24	1.33	1.38	1.51	0.06
♀	8	1.15	1.20	1.28	1.36	1.40	1.48	0.05
♀	9	1.19	1.23	1.32	1.40	1.45	1.44	0.05
♀	10	1.24	1.29	1.38	1.47	1.51	1.40	0.05
♀	11	1.30	1.35	1.44	1.53	1.58	1.37	0.05
♀	12	1.36	1.41	1.51	1.61	1.66	1.33	0.05
♀	13	1.40	1.46	1.56	1.66	1.71	1.29	0.05
♀	14	1.44	1.50	1.60	1.70	1.75	1.26	0.05
♀	15	1.46	1.52	1.62	1.72	1.78	1.22	0.05
♀	16	1.48	1.53	1.64	1.74	1.80	1.18	0.05
♀	17	1.53	1.57	1.66	1.74	1.79	1.15	0.04
♂	7	1.14	1.17	1.25	1.33	1.38	-0.68	0.05
♂	8	1.17	1.21	1.29	1.38	1.42	-0.20	0.05
♂	9	1.20	1.25	1.33	1.42	1.47	0.28	0.05
♂	10	1.25	1.29	1.38	1.47	1.52	0.76	0.05
♂	11	1.30	1.35	1.44	1.53	1.58	1.24	0.05
♂	12	1.35	1.40	1.50	1.59	1.64	1.73	0.05
♂	13	1.41	1.47	1.57	1.67	1.72	2.21	0.05
♂	14	1.45	1.51	1.62	1.72	1.77	2.69	0.05
♂	15	1.49	1.55	1.67	1.77	1.82	3.17	0.05
♂	16	1.51	1.58	1.70	1.80	1.85	3.65	0.05
♂	17	1.56	1.62	1.72	1.80	1.84	4.13	0.04

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	18.56	20.89	26.62	34.97	41.01	-0.46	0.20
♀	8	19.74	22.33	28.79	38.36	45.39	-0.45	0.21
♀	9	21.52	24.36	31.42	41.84	49.48	-0.44	0.21
♀	10	23.80	26.95	34.76	46.27	54.68	-0.43	0.21
♀	11	26.70	30.25	39.03	51.93	61.33	-0.42	0.21
♀	12	30.65	34.55	44.08	57.79	67.58	-0.41	0.20
♀	13	34.85	39.09	49.32	63.72	73.82	-0.40	0.19
♀	14	38.55	43.02	53.65	68.32	78.42	-0.39	0.18
♀	15	41.53	46.10	56.83	71.34	81.15	-0.38	0.17
♀	16	44.84	49.23	59.28	72.36	80.92	-0.37	0.15
♀	17	47.31	51.65	61.46	73.98	82.05	-0.36	0.14
♂	7	19.78	21.71	26.68	34.77	41.55	-1.07	0.18
♂	8	20.78	22.97	28.61	37.71	45.19	-0.93	0.19
♂	9	22.33	24.88	31.42	41.84	50.23	-0.79	0.20
♂	10	24.19	27.18	34.83	46.82	56.23	-0.65	0.21
♂	11	26.85	30.31	39.01	52.11	61.92	-0.51	0.21
♂	12	29.96	34.00	43.95	58.35	68.69	-0.37	0.21
♂	13	33.23	37.92	49.24	65.01	75.88	-0.23	0.21
♂	14	36.97	42.19	54.38	70.45	80.99	-0.08	0.20
♂	15	39.73	45.63	59.08	76.19	87.04	0.06	0.20
♂	16	42.74	49.04	62.94	79.83	90.14	0.20	0.19
♂	17	45.48	52.09	66.23	82.70	92.42	0.34	0.18

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	13.84	14.82	17.22	20.80	23.56	-1.37	0.13
♀	8	13.89	14.94	17.55	21.54	24.69	-1.33	0.14
♀	9	14.20	15.29	17.96	22.03	25.22	-1.30	0.14
♀	10	14.27	15.43	18.33	22.84	26.46	-1.26	0.15
♀	11	14.59	15.78	18.75	23.35	27.01	-1.23	0.15
♀	12	15.06	16.30	19.38	24.11	27.83	-1.19	0.15
♀	13	15.70	17.00	20.22	25.13	28.97	-1.16	0.15
♀	14	16.26	17.62	20.97	26.04	29.95	-1.12	0.15
♀	15	16.97	18.31	21.57	26.34	29.88	-1.09	0.14
♀	16	17.34	18.72	22.07	26.92	30.50	-1.05	0.14
♀	17	17.92	19.27	22.47	26.97	30.18	-1.02	0.13
♂	7	14.45	15.12	16.85	19.82	22.68	-3.06	0.10
♂	8	14.45	15.20	17.13	20.45	23.63	-2.70	0.11
♂	9	14.36	15.23	17.53	21.64	25.78	-2.35	0.13
♂	10	14.50	15.47	18.03	22.54	26.92	-2.04	0.14
♂	11	14.88	15.92	18.60	23.09	27.10	-1.78	0.14
♂	12	15.10	16.25	19.23	24.17	28.50	-1.56	0.15
♂	13	15.57	16.80	19.91	24.92	29.13	-1.42	0.15
♂	14	16.06	17.34	20.58	25.70	29.91	-1.34	0.15
♂	15	16.56	17.89	21.23	26.51	30.82	-1.33	0.15
♂	16	16.99	18.35	21.77	27.19	31.63	-1.34	0.15
♂	17	17.63	18.95	22.25	27.34	31.39	-1.37	0.14

WC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	0.49	0.52	0.58	0.67	0.73	-1.46	0.10
♀	8	0.50	0.53	0.60	0.70	0.78	-1.57	0.11
♀	9	0.51	0.54	0.61	0.72	0.80	-1.69	0.11
♀	10	0.53	0.56	0.63	0.74	0.83	-1.81	0.11
♀	11	0.53	0.56	0.64	0.75	0.85	-1.92	0.11
♀	12	0.56	0.59	0.66	0.77	0.85	-2.04	0.10
♀	13	0.57	0.60	0.67	0.78	0.86	-2.15	0.10
♀	14	0.58	0.61	0.68	0.79	0.88	-2.27	0.10
♀	15	0.60	0.62	0.69	0.79	0.87	-2.38	0.09
♀	16	0.60	0.63	0.70	0.80	0.88	-2.50	0.09
♀	17	0.61	0.64	0.71	0.81	0.90	-2.62	0.09
♂	7	0.51	0.53	0.57	0.64	0.70	-4.36	0.07
♂	8	0.52	0.54	0.59	0.67	0.76	-4.10	0.08
♂	9	0.53	0.55	0.61	0.71	0.81	-3.85	0.09
♂	10	0.54	0.57	0.63	0.75	0.87	-3.59	0.10
♂	11	0.56	0.58	0.65	0.77	0.89	-3.33	0.10
♂	12	0.56	0.59	0.66	0.79	0.93	-3.08	0.11
♂	13	0.57	0.60	0.68	0.81	0.95	-2.82	0.11
♂	14	0.59	0.62	0.70	0.83	0.96	-2.56	0.11
♂	15	0.60	0.64	0.72	0.85	0.97	-2.31	0.11
♂	16	0.62	0.65	0.74	0.87	0.98	-2.05	0.11
♂	17	0.63	0.67	0.76	0.89	1.00	-1.79	0.11

BODYFAT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	17.14	19.23	24.10	30.52	34.75	-0.20	0.18
♀	8	17.51	19.58	24.46	31.08	35.57	-0.32	0.18
♀	9	17.83	19.87	24.77	31.57	36.29	-0.42	0.18
♀	10	17.69	19.79	24.92	32.29	37.56	-0.48	0.19
♀	11	17.71	19.82	24.96	32.33	37.59	-0.47	0.19
♀	12	17.73	19.89	25.10	32.42	37.53	-0.39	0.19
♀	13	17.92	20.20	25.59	32.90	37.83	-0.25	0.19
♀	14	18.24	20.68	26.32	33.66	38.41	-0.08	0.19
♀	15	18.47	21.12	27.04	34.37	38.92	0.12	0.19
♀	16	18.17	21.18	27.72	35.42	40.00	0.36	0.20
♀	17	18.14	21.48	28.39	36.02	40.35	0.61	0.20
♂	7	15.97	17.04	19.85	24.82	29.67	-2.05	0.14
♂	8	15.49	16.71	20.07	26.51	33.56	-1.86	0.17
♂	9	15.18	16.54	20.29	27.68	36.01	-1.66	0.19
♂	10	14.75	16.22	20.34	28.64	38.15	-1.48	0.21
♂	11	14.00	15.55	19.96	28.92	39.19	-1.30	0.23
♂	12	13.03	14.63	19.22	28.65	39.42	-1.15	0.25
♂	13	12.16	13.76	18.33	27.54	37.60	-1.02	0.26
♂	14	11.54	13.10	17.51	26.09	34.93	-0.93	0.26
♂	15	11.11	12.65	16.96	25.12	33.16	-0.86	0.26
♂	16	10.89	12.44	16.73	24.61	32.03	-0.78	0.26
♂	17	10.93	12.48	16.66	23.95	30.36	-0.70	0.25

preterm.ref

Citations

• Olsen, I.E., Lawson, M.L., Ferguson, A.N., Cantrell, R., Grabich, S.C., Zemel, B.S., Clark, R.H., 2015. BMI Curves for Preterm Infants. PEDIATRICS 135, e572–e581. doi:10.1542/peds.2014-2777
• Olsen, I.E., Groveman, S.A., Lawson, M.L., Clark, R.H., Zemel, B.S., 2010. New intrauterine growth curves based on United States data. Pediatrics 125, e214-224. doi:10.1542/peds.2009-0913

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	24	5.40	5.84	6.73	7.74	8.32	0.2044	0.1100
♀	25	5.60	6.06	7.01	8.06	8.66	0.2401	0.1112
♀	26	5.81	6.29	7.28	8.38	9.01	0.2442	0.1119
♀	27	6.03	6.53	7.56	8.72	9.38	0.2073	0.1128
♀	28	6.27	6.80	7.89	9.12	9.84	0.1523	0.1149
♀	29	6.58	7.13	8.26	9.55	10.29	0.1573	0.1140
♀	30	6.93	7.50	8.69	10.02	10.79	0.1961	0.1129
♀	31	7.28	7.89	9.16	10.58	11.40	0.2209	0.1143
♀	32	7.65	8.31	9.65	11.16	12.03	0.2346	0.1151
♀	33	8.09	8.77	10.18	11.76	12.67	0.2209	0.1142
♀	34	8.54	9.25	10.74	12.42	13.40	0.1569	0.1149
♀	35	8.85	9.64	11.28	13.17	14.27	0.1373	0.1217
♀	36	9.15	10.02	11.84	13.92	15.13	0.2146	0.1281
♀	37	9.59	10.50	12.40	14.54	15.78	0.2477	0.1268
♀	38	10.15	11.03	12.86	14.93	16.13	0.1964	0.1180
♀	39	10.59	11.43	13.19	15.17	16.31	0.1415	0.1103
♀	40	10.83	11.66	13.36	15.26	16.34	0.2118	0.1049
♀	41	10.87	11.72	13.45	15.32	16.37	0.3888	0.1043
♂	24	5.62	6.05	6.93	7.91	8.48	0.1626	0.1047
♂	25	5.83	6.27	7.20	8.24	8.84	0.1637	0.1063
♂	26	6.06	6.53	7.51	8.61	9.24	0.1647	0.1074
♂	27	6.30	6.79	7.83	8.99	9.66	0.1658	0.1091
♂	28	6.53	7.05	8.13	9.35	10.05	0.1668	0.1098
♂	29	6.80	7.35	8.49	9.77	10.52	0.1679	0.1112
♂	30	7.09	7.68	8.90	10.29	11.09	0.1690	0.1139
♂	31	7.48	8.10	9.38	10.82	11.65	0.1700	0.1129
♂	32	7.90	8.54	9.86	11.34	12.20	0.1709	0.1109
♂	33	8.32	8.99	10.38	11.94	12.85	0.1718	0.1109
♂	34	8.71	9.42	10.90	12.57	13.53	0.1725	0.1123
♂	35	9.05	9.83	11.44	13.28	14.34	0.1731	0.1174
♂	36	9.42	10.26	12.00	13.98	15.13	0.1736	0.1208
♂	37	9.86	10.72	12.51	14.54	15.72	0.1741	0.1189
♂	38	10.37	11.23	13.03	15.07	16.24	0.1744	0.1145
♂	39	10.70	11.55	13.29	15.24	16.37	0.1748	0.1084
♂	40	10.87	11.69	13.39	15.28	16.37	0.1751	0.1044
♂	41	10.95	11.78	13.47	15.37	16.45	0.1755	0.1038

LENGTH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	23	26.53	27.71	29.86	31.92	32.98	1.613	0.055
♀	24	27.36	28.69	31.07	33.32	34.46	1.799	0.058
♀	25	28.12	29.64	32.32	34.80	36.04	2.005	0.062
♀	26	28.95	30.68	33.64	36.31	37.63	2.234	0.065
♀	27	29.93	31.83	35.05	37.89	39.29	2.395	0.067
♀	28	31.10	33.12	36.52	39.53	41.00	2.396	0.068
♀	29	32.48	34.53	38.04	41.19	42.75	2.231	0.068
♀	30	33.99	36.02	39.55	42.74	44.33	2.125	0.066
♀	31	35.46	37.47	40.96	44.12	45.68	2.217	0.063
♀	32	36.86	38.86	42.33	45.50	47.08	2.172	0.061
♀	33	38.34	40.27	43.70	46.90	48.51	1.938	0.059
♀	34	39.61	41.53	44.98	48.23	49.88	1.784	0.058
♀	35	40.67	42.63	46.17	49.51	51.21	1.746	0.058
♀	36	41.72	43.73	47.36	50.78	52.53	1.750	0.058
♀	37	42.92	44.91	48.50	51.89	53.61	1.809	0.056
♀	38	44.20	46.08	49.48	52.69	54.32	1.840	0.052
♀	39	45.06	46.90	50.21	53.35	54.94	1.883	0.050
♀	40	45.89	47.64	50.79	53.77	55.28	1.922	0.047
♀	41	46.43	48.16	51.27	54.21	55.71	1.958	0.046
♂	23	26.77	28.02	30.28	32.45	33.56	1.608	0.057
♂	24	27.72	29.09	31.54	33.86	35.05	1.748	0.059
♂	25	28.62	30.15	32.86	35.39	36.66	1.889	0.062
♂	26	29.65	31.32	34.27	36.97	38.32	2.029	0.064
♂	27	30.79	32.60	35.73	38.58	39.99	2.159	0.065
♂	28	31.94	33.89	37.22	40.22	41.69	2.264	0.066
♂	29	33.24	35.25	38.67	41.73	43.23	2.335	0.065
♂	30	34.56	36.61	40.11	43.23	44.77	2.367	0.064
♂	31	36.01	38.06	41.56	44.69	46.24	2.357	0.062
♂	32	37.46	39.49	42.97	46.13	47.68	2.314	0.060
♂	33	38.91	40.90	44.37	47.53	49.10	2.244	0.058
♂	34	40.18	42.17	45.66	48.86	50.46	2.163	0.057
♂	35	41.28	43.31	46.88	50.18	51.83	2.074	0.057
♂	36	42.40	44.45	48.10	51.50	53.21	1.973	0.057
♂	37	43.68	45.68	49.27	52.64	54.35	1.866	0.055
♂	38	44.91	46.81	50.25	53.52	55.19	1.769	0.052
♂	39	45.93	47.73	51.01	54.14	55.75	1.689	0.049
♂	40	46.71	48.44	51.61	54.66	56.24	1.626	0.047
♂	41	47.29	49.00	52.12	55.14	56.71	1.572	0.046

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	23	0.42	0.48	0.58	0.69	0.74	1.195	0.140
♀	24	0.46	0.52	0.65	0.77	0.84	1.180	0.149
♀	25	0.50	0.58	0.74	0.88	0.96	1.161	0.159
♀	26	0.55	0.64	0.83	1.00	1.10	1.140	0.169
♀	27	0.60	0.72	0.94	1.15	1.26	1.116	0.178
♀	28	0.67	0.81	1.06	1.31	1.44	1.087	0.185
♀	29	0.76	0.91	1.20	1.49	1.64	1.054	0.186
♀	30	0.88	1.05	1.37	1.69	1.86	1.015	0.182
♀	31	1.01	1.20	1.55	1.90	2.08	0.975	0.177
♀	32	1.16	1.35	1.73	2.12	2.32	0.930	0.172
♀	33	1.33	1.54	1.96	2.38	2.61	0.878	0.167
♀	34	1.50	1.73	2.19	2.66	2.92	0.827	0.166
♀	35	1.59	1.87	2.41	2.99	3.30	0.786	0.181
♀	36	1.71	2.03	2.66	3.34	3.71	0.764	0.192
♀	37	1.92	2.26	2.94	3.65	4.04	0.771	0.185
♀	38	2.19	2.52	3.17	3.85	4.22	0.796	0.163
♀	39	2.41	2.72	3.34	3.97	4.32	0.821	0.146
♀	40	2.55	2.86	3.45	4.07	4.40	0.841	0.137
♀	41	2.62	2.93	3.53	4.14	4.47	0.855	0.134
♂	23	0.45	0.51	0.62	0.73	0.78	1.317	0.136
♂	24	0.49	0.56	0.69	0.81	0.87	1.305	0.142
♂	25	0.54	0.63	0.78	0.93	1.00	1.289	0.150
♂	26	0.60	0.70	0.89	1.07	1.16	1.270	0.158
♂	27	0.67	0.79	1.01	1.22	1.32	1.248	0.165
♂	28	0.74	0.88	1.14	1.39	1.51	1.224	0.171
♂	29	0.83	0.99	1.28	1.56	1.70	1.196	0.174
♂	30	0.93	1.11	1.44	1.76	1.92	1.162	0.174
♂	31	1.07	1.27	1.63	1.98	2.17	1.122	0.171
♂	32	1.22	1.43	1.83	2.22	2.42	1.075	0.167
♂	33	1.39	1.62	2.06	2.49	2.72	1.021	0.164
♂	34	1.56	1.81	2.29	2.76	3.02	0.968	0.163
♂	35	1.69	1.98	2.53	3.09	3.38	0.917	0.171
♂	36	1.85	2.17	2.79	3.43	3.78	0.873	0.177
♂	37	2.06	2.40	3.06	3.74	4.11	0.839	0.171
♂	38	2.31	2.65	3.31	3.99	4.36	0.814	0.158
♂	39	2.51	2.83	3.47	4.13	4.49	0.796	0.146
♂	40	2.63	2.95	3.58	4.23	4.59	0.785	0.140
♂	41	2.72	3.04	3.67	4.32	4.67	0.776	0.136

saudi.ref

Citations

• Mouzan, M. I. E., Salloum, A. A. A., Alqurashi, M. M., Herbish, A. S. A. & Omar, A. A. The LMS and Z scale growth reference for Saudi school-age children and adolescents. Saudi Journal of Gastroenterology 22, 331 (2016)
• Shaik, S.A., El Mouzan, M.I., AlSalloum, A.A., AlHerbish, A.S., 2016. Growth reference for Saudi preschool children: LMS parameters and percentiles. Ann Saudi Med 36, 2–6. doi:10.5144/0256-4947.2016.2

HEIGHT5_18

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	96.34	100.27	107.72	115.18	119.14	0.9657	0.0540
♀	6	101.35	105.39	113.04	120.69	124.74	0.9925	0.0528
♀	7	106.57	110.73	118.59	126.44	130.60	1.0122	0.0517
♀	8	111.57	115.81	123.83	131.84	136.08	1.0060	0.0505
♀	9	116.56	120.87	129.03	137.21	141.54	0.9727	0.0494
♀	10	121.84	126.22	134.53	142.87	147.30	0.9259	0.0483
♀	11	127.39	131.82	140.25	148.75	153.28	0.8709	0.0471
♀	12	132.72	137.18	145.70	154.32	158.93	0.7864	0.0459
♀	13	137.09	141.53	150.05	158.76	163.44	0.6403	0.0448
♀	14	140.06	144.42	152.88	161.63	166.37	0.4087	0.0439
♀	15	141.75	146.01	154.39	163.19	168.04	0.0921	0.0434
♀	16	142.62	146.78	155.09	164.01	169.01	-0.2982	0.0433
♀	17	143.13	147.21	155.49	164.62	169.84	-0.7475	0.0436
♀	18	143.58	147.58	155.87	165.28	170.80	-1.2450	0.0441
♂	5	96.83	100.73	108.00	115.16	118.90	1.2455	0.0521
♂	6	102.03	106.05	113.61	121.13	125.10	1.0668	0.0518
♂	7	107.17	111.29	119.11	126.98	131.16	0.9036	0.0514
♂	8	112.05	116.29	124.39	132.61	137.01	0.7696	0.0512
♂	9	116.60	120.95	129.31	137.85	142.45	0.6647	0.0510
♂	10	120.84	125.31	133.95	142.82	147.61	0.5850	0.0510
♂	11	125.23	129.86	138.80	148.00	152.98	0.5632	0.0510
♂	12	130.07	134.90	144.19	153.68	158.78	0.6621	0.0508
♂	13	135.20	140.28	149.94	159.65	164.81	0.9035	0.0504
♂	14	140.54	145.91	155.91	165.74	170.88	1.2749	0.0496
♂	15	145.29	150.95	161.22	171.01	176.03	1.7517	0.0485
♂	16	148.76	154.62	164.97	174.55	179.35	2.2915	0.0470
♂	17	151.03	157.03	167.32	176.56	181.10	2.8584	0.0453
♂	18	152.50	158.58	168.73	177.58	181.86	3.4347	0.0436

WEIGTH5_13

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	12.28	13.45	16.38	20.85	24.30	-0.9263	0.1686
♀	6	13.57	14.94	18.40	23.78	28.03	-0.9001	0.1787
♀	7	14.99	16.59	20.68	27.18	32.42	-0.8715	0.1897
♀	8	16.55	18.41	23.23	31.03	37.43	-0.8425	0.2004
♀	9	18.38	20.55	26.22	35.53	43.30	-0.8137	0.2102
♀	10	20.59	23.12	29.77	40.83	50.15	-0.7861	0.2183
♀	11	23.19	26.12	33.87	46.82	57.80	-0.7622	0.2240
♀	12	26.04	29.39	38.24	53.10	65.70	-0.7481	0.2271
♀	13	28.91	32.63	42.50	59.08	73.17	-0.7469	0.2279
♂	5	12.79	13.90	16.65	20.81	24.01	-1.0468	0.1551
♂	6	14.03	15.34	18.64	23.80	27.92	-1.0326	0.1685
♂	7	15.24	16.76	20.66	26.96	32.17	-1.0155	0.1819
♂	8	16.78	18.56	23.20	30.93	37.53	-0.9912	0.1952
♂	9	18.47	20.55	26.06	35.45	43.67	-0.9525	0.2081
♂	10	20.17	22.59	29.04	40.21	50.12	-0.8979	0.2201
♂	11	22.09	24.89	32.42	45.50	57.12	-0.8295	0.2306
♂	12	24.39	27.65	36.42	51.58	64.88	-0.7531	0.2389
♂	13	26.97	30.74	40.85	58.12	72.97	-0.6787	0.2447

BMI5_18

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	11.56	12.36	14.28	17.08	19.17	-1.3164	0.1245
♀	6	11.56	12.41	14.48	17.57	19.94	-1.2951	0.1336
♀	7	11.60	12.51	14.76	18.21	20.92	-1.2714	0.1437
♀	8	11.75	12.72	15.17	19.02	22.14	-1.2441	0.1538
♀	9	11.98	13.03	15.70	20.00	23.56	-1.2113	0.1635
♀	10	12.32	13.46	16.38	21.16	25.19	-1.1718	0.1725
♀	11	12.79	14.02	17.21	22.49	27.00	-1.1272	0.1802
♀	12	13.36	14.69	18.17	23.95	28.93	-1.0855	0.1863
♀	13	13.98	15.42	19.17	25.45	30.86	-1.0529	0.1910
♀	14	14.57	16.10	20.10	26.81	32.63	-1.0301	0.1946
♀	15	15.05	16.65	20.85	27.94	34.09	-1.0152	0.1974
♀	16	15.41	17.08	21.45	28.85	35.30	-1.0068	0.1999
♀	17	15.65	17.36	21.86	29.51	36.23	-0.9991	0.2024
♀	18	15.77	17.51	22.11	29.97	36.89	-0.9886	0.2049
♂	5	11.63	12.43	14.38	17.22	19.33	-1.3153	0.1251
♂	6	11.60	12.45	14.54	17.63	19.98	-1.2759	0.1334
♂	7	11.62	12.52	14.75	18.12	20.74	-1.2365	0.1418
♂	8	11.75	12.71	15.11	18.81	21.72	-1.1971	0.1501
♂	9	11.98	13.02	15.63	19.70	22.96	-1.1577	0.1585
♂	10	12.29	13.40	16.24	20.73	24.39	-1.1183	0.1668
♂	11	12.62	13.82	16.90	21.85	25.95	-1.0789	0.1752
♂	12	12.95	14.25	17.58	23.03	27.59	-1.0395	0.1835
♂	13	13.27	14.66	18.27	24.22	29.28	-1.0001	0.1919
♂	14	13.58	15.07	18.95	25.44	31.01	-0.9607	0.2002
♂	15	13.89	15.47	19.65	26.70	32.82	-0.9213	0.2086
♂	16	14.18	15.86	20.34	27.98	34.66	-0.8819	0.2169
♂	17	14.44	16.23	21.01	29.25	36.50	-0.8425	0.2253
♂	18	14.67	16.56	21.66	30.50	38.33	-0.8032	0.2336

PS_HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	46.31	47.65	50.56	54.10	56.31	-2.1013	0.0492
♂	0.0833333	49.11	50.56	53.72	57.64	60.14	-2.2658	0.0508
♂	0.1666667	51.82	53.37	56.78	61.06	63.82	-2.3748	0.0521
♂	0.2500000	54.33	55.99	59.64	64.24	67.23	-2.3868	0.0532
♂	0.3333333	56.61	58.37	62.24	67.11	70.25	-2.2686	0.0540
♂	0.4166667	58.63	60.50	64.58	69.61	72.80	-1.9932	0.0544
♂	0.5000000	60.35	62.35	66.63	71.74	74.87	-1.5171	0.0545
♂	0.5833333	61.79	63.94	68.43	73.53	76.53	-0.8600	0.0544
♂	0.6666667	62.98	65.32	70.01	75.07	77.92	-0.1229	0.0543
♂	0.7500000	64.02	66.55	71.43	76.45	79.17	0.5929	0.0541
♂	0.8333333	64.96	67.68	72.75	77.75	80.37	1.2080	0.0540
♂	0.9166667	65.89	68.77	74.01	79.01	81.57	1.6704	0.0539
♂	1.0000000	66.82	69.83	75.21	80.24	82.79	1.9415	0.0539
♂	2.0000000	77.06	80.13	86.05	92.14	95.44	0.5802	0.0545
♂	3.0000000	83.84	87.46	94.27	101.02	104.57	1.1147	0.0561
♂	4.0000000	91.33	94.90	101.84	109.03	112.93	0.4895	0.0541
♂	5.0000000	95.11	99.51	107.23	114.32	117.87	2.2278	0.0537
♀	0.0000000	45.70	47.08	50.06	53.62	55.82	-1.7970	0.0505
♀	0.0833333	48.58	50.07	53.27	57.14	59.54	-1.8428	0.0513
♀	0.1666667	51.35	52.95	56.38	60.54	63.12	-1.8456	0.0520
♀	0.2500000	53.91	55.61	59.27	63.68	66.41	-1.7750	0.0526
♀	0.3333333	56.21	58.01	61.88	66.51	69.35	-1.6099	0.0531
♀	0.4166667	58.21	60.14	64.22	69.00	71.89	-1.3316	0.0535
♀	0.5000000	59.90	61.96	66.25	71.14	74.01	-0.9021	0.0538
♀	0.5833333	61.29	63.51	68.01	72.94	75.74	-0.3320	0.0540
♀	0.6666667	62.43	64.83	69.54	74.49	77.20	0.2951	0.0542
♀	0.7500000	63.41	66.00	70.92	75.87	78.51	0.8924	0.0543
♀	0.8333333	64.34	67.11	72.21	77.18	79.76	1.3906	0.0544
♀	0.9166667	65.27	68.19	73.46	78.46	81.02	1.7457	0.0545
♀	1.0000000	66.25	69.27	74.66	79.72	82.28	1.9267	0.0545
♀	2.0000000	76.54	79.60	85.53	91.68	95.01	0.5131	0.0551
♀	3.0000000	83.39	86.99	93.76	100.46	103.98	1.1291	0.0560
♀	4.0000000	90.82	94.41	101.38	108.59	112.51	0.5081	0.0546
♀	5.0000000	94.77	99.10	106.71	113.72	117.24	2.1920	0.0533

PS_WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	2.44	2.65	3.15	3.79	4.21	-0.4721	0.1390
♂	0.0833333	3.20	3.50	4.18	5.02	5.54	-0.2432	0.1397
♂	0.1666667	3.90	4.28	5.13	6.14	6.76	-0.0177	0.1404
♂	0.2500000	4.47	4.94	5.94	7.10	7.78	0.2018	0.1411
♂	0.3333333	4.94	5.50	6.64	7.91	8.63	0.4127	0.1417
♂	0.4166667	5.34	5.97	7.24	8.61	9.37	0.6134	0.1422
♂	0.5000000	5.66	6.38	7.77	9.21	10.00	0.8028	0.1426
♂	0.5833333	5.92	6.71	8.22	9.73	10.53	0.9794	0.1430
♂	0.6666667	6.13	7.00	8.60	10.16	10.97	1.1410	0.1432
♂	0.7500000	6.31	7.25	8.94	10.55	11.37	1.2848	0.1434
♂	0.8333333	6.47	7.48	9.25	10.90	11.73	1.4073	0.1434
♂	0.9166667	6.62	7.69	9.53	11.21	12.05	1.5058	0.1434
♂	1.0000000	6.76	7.88	9.79	11.50	12.35	1.5773	0.1433
♂	2.0000000	8.61	9.76	11.91	14.02	15.14	1.0787	0.1397
♂	3.0000000	10.29	11.34	13.60	16.26	17.85	0.0892	0.1406
♂	4.0000000	11.73	12.84	15.37	18.65	20.78	-0.3815	0.1453
♂	5.0000000	12.52	13.73	16.59	20.48	23.13	-0.5363	0.1553
♀	0.0000000	2.47	2.65	3.09	3.73	4.22	-1.2798	0.1318
♀	0.0833333	3.13	3.37	3.94	4.78	5.41	-1.1737	0.1347
♀	0.1666667	3.75	4.05	4.76	5.78	6.54	-1.0697	0.1375
♀	0.2500000	4.31	4.66	5.50	6.70	7.56	-0.9710	0.1400
♀	0.3333333	4.80	5.20	6.16	7.52	8.48	-0.8777	0.1423
♀	0.4166667	5.23	5.68	6.75	8.24	9.29	-0.7868	0.1442
♀	0.5000000	5.60	6.09	7.26	8.87	9.99	-0.6957	0.1459
♀	0.5833333	5.91	6.45	7.71	9.42	10.58	-0.6022	0.1472
♀	0.6666667	6.17	6.75	8.09	9.88	11.08	-0.5032	0.1483
♀	0.7500000	6.39	7.01	8.42	10.27	11.49	-0.3999	0.1490
♀	0.8333333	6.58	7.23	8.71	10.61	11.83	-0.2963	0.1495
♀	0.9166667	6.74	7.42	8.96	10.90	12.13	-0.1972	0.1498
♀	1.0000000	6.88	7.60	9.19	11.16	12.39	-0.1071	0.1499
♀	2.0000000	8.49	9.45	11.48	13.84	15.24	0.2172	0.1489
♀	3.0000000	9.92	10.92	13.17	16.02	17.85	-0.2418	0.1495
♀	4.0000000	11.23	12.24	14.67	18.12	20.60	-0.7951	0.1518
♀	5.0000000	12.37	13.63	16.54	20.35	22.85	-0.3476	0.1560

PS_BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	9.61	10.57	12.61	14.96	16.34	0.1928	0.1353
♂	0.0833333	10.50	11.56	13.78	16.33	17.82	0.2076	0.1347
♂	0.1666667	11.32	12.45	14.84	17.56	19.15	0.2224	0.1341
♂	0.2500000	12.00	13.20	15.72	18.58	20.25	0.2364	0.1334
♂	0.3333333	12.52	13.78	16.39	19.36	21.09	0.2487	0.1328
♂	0.4166667	12.91	14.20	16.88	19.92	21.69	0.2586	0.1322
♂	0.5000000	13.17	14.48	17.21	20.29	22.08	0.2655	0.1315
♂	0.5833333	13.34	14.66	17.40	20.51	22.30	0.2690	0.1309
♂	0.6666667	13.43	14.75	17.50	20.60	22.40	0.2690	0.1303
♂	0.7500000	13.46	14.77	17.51	20.60	22.39	0.2654	0.1297
♂	0.8333333	13.45	14.75	17.47	20.54	22.32	0.2583	0.1291
♂	0.9166667	13.40	14.69	17.38	20.43	22.20	0.2477	0.1286
♂	1.0000000	13.34	14.61	17.27	20.29	22.04	0.2339	0.1280
♂	2.0000000	12.54	13.61	15.92	18.66	20.32	-0.1040	0.1231
♂	3.0000000	12.22	13.17	15.29	17.94	19.61	-0.4281	0.1203
♂	4.0000000	11.94	12.83	14.83	17.40	19.07	-0.6351	0.1186
♂	5.0000000	11.76	12.60	14.52	17.08	18.81	-0.8700	0.1181
♀	0.0000000	9.85	10.69	12.60	15.04	16.62	-0.4291	0.1329
♀	0.0833333	10.57	11.49	13.56	16.16	17.81	-0.3459	0.1327
♀	0.1666667	11.24	12.24	14.45	17.19	18.90	-0.2591	0.1324
♀	0.2500000	11.82	12.89	15.23	18.08	19.84	-0.1675	0.1319
♀	0.3333333	12.30	13.43	15.88	18.81	20.59	-0.0713	0.1314
♀	0.4166667	12.67	13.85	16.38	19.37	21.15	0.0287	0.1308
♀	0.5000000	12.93	14.16	16.76	19.76	21.54	0.1297	0.1302
♀	0.5833333	13.10	14.36	17.01	20.02	21.78	0.2289	0.1295
♀	0.6666667	13.19	14.49	17.17	20.17	21.89	0.3236	0.1289
♀	0.7500000	13.22	14.54	17.24	20.22	21.91	0.4117	0.1283
♀	0.8333333	13.20	14.54	17.25	20.19	21.85	0.4912	0.1278
♀	0.9166667	13.15	14.50	17.21	20.12	21.74	0.5589	0.1273
♀	1.0000000	13.08	14.44	17.13	20.00	21.59	0.6117	0.1268
♀	2.0000000	12.46	13.55	15.89	18.63	20.26	0.0055	0.1241
♀	3.0000000	12.07	12.95	14.99	17.79	19.73	-0.9782	0.1229
♀	4.0000000	11.88	12.73	14.69	17.31	19.07	-0.8649	0.1191
♀	5.0000000	11.67	12.57	14.56	17.05	18.64	-0.4711	0.1189

PS_HC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0.0000000	32.02	32.87	34.70	36.91	38.29	-2.2577	0.0450
♂	0.0833333	33.71	34.61	36.53	38.82	40.21	-2.0371	0.0445
♂	0.1666667	35.31	36.26	38.26	40.60	42.02	-1.8050	0.0440
♂	0.2500000	36.75	37.74	39.81	42.19	43.61	-1.5520	0.0434
♂	0.3333333	37.99	39.02	41.15	43.56	44.97	-1.2709	0.0429
♂	0.4166667	39.03	40.10	42.27	44.69	46.09	-0.9633	0.0423
♂	0.5000000	39.88	40.98	43.20	45.62	46.99	-0.6350	0.0418
♂	0.5833333	40.57	41.70	43.95	46.35	47.69	-0.2935	0.0412
♂	0.6666667	41.13	42.29	44.56	46.94	48.25	0.0495	0.0407
♂	0.7500000	41.61	42.78	45.06	47.42	48.69	0.3803	0.0401
♂	0.8333333	42.01	43.21	45.50	47.82	49.07	0.6866	0.0396
♂	0.9166667	42.36	43.57	45.87	48.17	49.39	0.9588	0.0391
♂	1.0000000	42.67	43.89	46.20	48.48	49.67	1.1909	0.0387
♂	2.0000000	44.97	46.13	48.31	50.48	51.64	1.0140	0.0352
♂	3.0000000	46.21	47.22	49.29	51.63	53.00	-1.7287	0.0348
♂	4.0000000	46.97	47.95	49.98	52.27	53.61	-1.7686	0.0336
♂	5.0000000	47.45	48.51	50.55	52.61	53.71	0.6329	0.0316
♀	0.0000000	31.69	32.58	34.53	36.96	38.52	-2.5037	0.0488
♀	0.0833333	33.05	33.99	36.02	38.51	40.08	-2.2254	0.0485
♀	0.1666667	34.36	35.34	37.46	40.01	41.58	-1.9463	0.0481
♀	0.2500000	35.58	36.61	38.81	41.39	42.96	-1.6665	0.0477
♀	0.3333333	36.68	37.76	40.03	42.64	44.20	-1.3871	0.0473
♀	0.4166667	37.67	38.79	41.11	43.75	45.30	-1.1098	0.0469
♀	0.5000000	38.52	39.68	42.06	44.71	46.24	-0.8365	0.0465
♀	0.5833333	39.24	40.44	42.87	45.53	47.04	-0.5689	0.0462
♀	0.6666667	39.86	41.09	43.55	46.21	47.70	-0.3078	0.0458
♀	0.7500000	40.38	41.64	44.13	46.78	48.25	-0.0548	0.0454
♀	0.8333333	40.82	42.10	44.61	47.25	48.69	0.1881	0.0450
♀	0.9166667	41.19	42.49	45.02	47.64	49.06	0.4194	0.0446
♀	1.0000000	41.50	42.83	45.37	47.97	49.36	0.6377	0.0442
♀	2.0000000	43.48	44.86	47.36	49.71	50.91	2.1015	0.0399
♀	3.0000000	44.81	46.07	48.37	50.57	51.71	1.8418	0.0363
♀	4.0000000	45.94	47.10	49.24	51.35	52.45	1.4111	0.0337
♀	5.0000000	46.83	47.91	49.93	51.93	52.97	1.3198	0.0314

PS_WFL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	55	3.10	3.43	4.17	5.11	5.70	-0.1601	0.1554
♂	56	3.31	3.67	4.48	5.48	6.09	-0.0349	0.1559
♂	57	3.53	3.93	4.81	5.86	6.50	0.0747	0.1559
♂	58	3.76	4.19	5.14	6.25	6.91	0.1689	0.1554
♂	59	3.99	4.46	5.47	6.63	7.32	0.2491	0.1545
♂	60	4.22	4.73	5.79	7.00	7.71	0.3165	0.1531
♂	61	4.45	4.99	6.10	7.36	8.08	0.3719	0.1515
♂	62	4.68	5.24	6.40	7.70	8.44	0.4153	0.1497
♂	63	4.91	5.49	6.69	8.03	8.79	0.4470	0.1477
♂	64	5.14	5.74	6.98	8.34	9.12	0.4674	0.1455
♂	65	5.36	5.98	7.25	8.64	9.43	0.4778	0.1433
♂	66	5.58	6.22	7.51	8.94	9.74	0.4803	0.1411
♂	67	5.81	6.45	7.77	9.22	10.04	0.4777	0.1389
♂	68	6.02	6.68	8.02	9.49	10.32	0.4730	0.1367
♂	69	6.24	6.90	8.26	9.76	10.60	0.4686	0.1346
♂	70	6.44	7.12	8.50	10.01	10.86	0.4641	0.1326
♂	71	6.65	7.33	8.73	10.26	11.12	0.4587	0.1307
♂	72	6.84	7.54	8.95	10.50	11.37	0.4525	0.1289
♂	73	7.04	7.74	9.17	10.73	11.61	0.4458	0.1273
♂	74	7.23	7.94	9.38	10.96	11.86	0.4386	0.1258
♂	75	7.42	8.13	9.59	11.19	12.10	0.4307	0.1244
♂	76	7.60	8.33	9.81	11.42	12.34	0.4217	0.1231
♂	77	7.79	8.52	10.01	11.65	12.58	0.4116	0.1219
♂	78	7.97	8.71	10.22	11.87	12.81	0.4004	0.1208
♂	79	8.15	8.90	10.42	12.10	13.05	0.3883	0.1197
♂	80	8.33	9.08	10.62	12.32	13.28	0.3750	0.1188
♂	81	8.50	9.26	10.82	12.54	13.51	0.3604	0.1180
♂	82	8.67	9.44	11.02	12.76	13.75	0.3437	0.1173
♂	83	8.84	9.62	11.22	12.98	13.99	0.3246	0.1167
♂	84	9.02	9.80	11.42	13.21	14.23	0.3025	0.1163
♂	85	9.19	9.98	11.61	13.43	14.48	0.2772	0.1159
♂	86	9.36	10.16	11.81	13.66	14.72	0.2486	0.1155
♂	87	9.53	10.34	12.01	13.89	14.98	0.2188	0.1152
♂	88	9.70	10.52	12.22	14.13	15.23	0.1896	0.1150
♂	89	9.88	10.70	12.42	14.36	15.49	0.1625	0.1148
♂	90	10.05	10.88	12.63	14.61	15.76	0.1376	0.1147
♂	91	10.22	11.07	12.84	14.85	16.03	0.1149	0.1147
♂	92	10.40	11.26	13.05	15.10	16.30	0.0938	0.1147
♂	93	10.58	11.44	13.27	15.36	16.58	0.0744	0.1147
♂	94	10.75	11.63	13.49	15.62	16.87	0.0567	0.1148
♂	95	10.93	11.83	13.71	15.88	17.16	0.0407	0.1149
♂	96	11.11	12.02	13.93	16.14	17.45	0.0256	0.1151
♂	97	11.30	12.22	14.16	16.41	17.74	0.0096	0.1152
♂	98	11.48	12.42	14.39	16.68	18.04	-0.0090	0.1153
♂	99	11.68	12.62	14.63	16.96	18.35	-0.0314	0.1154
♂	100	11.88	12.83	14.87	17.25	18.67	-0.0578	0.1154
♂	101	12.08	13.05	15.12	17.55	19.00	-0.0875	0.1155
♂	102	12.29	13.27	15.37	17.85	19.34	-0.1198	0.1156
♂	103	12.51	13.50	15.63	18.16	19.69	-0.1541	0.1157
♂	104	12.73	13.73	15.89	18.48	20.05	-0.1899	0.1159
♂	105	12.95	13.96	16.16	18.81	20.42	-0.2266	0.1161
♂	106	13.17	14.20	16.44	19.14	20.80	-0.2639	0.1164
♂	107	13.40	14.44	16.71	19.48	21.18	-0.3015	0.1167
♂	108	13.62	14.68	16.99	19.82	21.58	-0.3397	0.1171
♂	109	13.85	14.92	17.27	20.17	21.98	-0.3789	0.1175
♂	110	14.08	15.16	17.55	20.52	22.39	-0.4197	0.1180
♂	111	14.31	15.40	17.84	20.88	22.80	-0.4627	0.1185
♂	112	14.54	15.64	18.12	21.24	23.23	-0.5081	0.1190
♂	113	14.77	15.89	18.40	21.60	23.66	-0.5563	0.1196
♂	114	15.00	16.13	18.69	21.97	24.10	-0.6069	0.1201
♂	115	15.23	16.38	18.97	22.34	24.54	-0.6595	0.1207
♂	116	15.46	16.62	19.26	22.71	24.99	-0.7130	0.1213
♂	117	15.70	16.87	19.55	23.08	25.45	-0.7666	0.1218
♂	118	15.93	17.11	19.83	23.46	25.91	-0.8202	0.1224
♂	119	16.17	17.36	20.12	23.84	26.37	-0.8736	0.1230
♂	120	16.40	17.60	20.41	24.22	26.84	-0.9270	0.1235
♂	121	16.64	17.85	20.69	24.60	27.32	-0.9803	0.1241
♂	122	16.87	18.10	20.98	24.98	27.80	-1.0336	0.1246
♀	55	3.24	3.55	4.26	5.17	5.75	-0.2885	0.1463
♀	56	3.45	3.78	4.54	5.49	6.10	-0.2480	0.1453
♀	57	3.66	4.02	4.82	5.82	6.46	-0.2098	0.1443
♀	58	3.89	4.27	5.12	6.16	6.82	-0.1737	0.1433
♀	59	4.12	4.52	5.41	6.51	7.19	-0.1395	0.1422
♀	60	4.34	4.77	5.70	6.85	7.55	-0.1072	0.1412
♀	61	4.57	5.02	5.99	7.18	7.91	-0.0767	0.1401
♀	62	4.79	5.26	6.28	7.51	8.26	-0.0478	0.1390
♀	63	5.01	5.50	6.56	7.83	8.61	-0.0205	0.1379
♀	64	5.23	5.74	6.84	8.15	8.94	0.0052	0.1369
♀	65	5.44	5.97	7.10	8.45	9.26	0.0295	0.1358
♀	66	5.64	6.19	7.36	8.74	9.57	0.0523	0.1348
♀	67	5.84	6.41	7.61	9.03	9.87	0.0736	0.1337
♀	68	6.04	6.62	7.86	9.31	10.16	0.0933	0.1327
♀	69	6.23	6.83	8.10	9.57	10.45	0.1114	0.1318
♀	70	6.42	7.03	8.33	9.84	10.72	0.1281	0.1308
♀	71	6.60	7.23	8.56	10.09	10.99	0.1431	0.1299
♀	72	6.78	7.42	8.78	10.34	11.25	0.1566	0.1291
♀	73	6.96	7.61	8.99	10.58	11.51	0.1685	0.1282
♀	74	7.13	7.80	9.21	10.81	11.75	0.1789	0.1274
♀	75	7.30	7.98	9.41	11.04	12.00	0.1877	0.1267
♀	76	7.47	8.16	9.62	11.27	12.24	0.1950	0.1260
♀	77	7.63	8.34	9.82	11.50	12.48	0.2005	0.1253
♀	78	7.80	8.52	10.02	11.72	12.71	0.2043	0.1247
♀	79	7.96	8.69	10.22	11.95	12.95	0.2061	0.1241
♀	80	8.13	8.87	10.42	12.17	13.19	0.2059	0.1235
♀	81	8.29	9.04	10.61	12.40	13.43	0.2036	0.1230
♀	82	8.46	9.22	10.81	12.62	13.67	0.1990	0.1225
♀	83	8.62	9.40	11.01	12.85	13.92	0.1921	0.1220
♀	84	8.79	9.57	11.21	13.08	14.16	0.1827	0.1216
♀	85	8.96	9.75	11.42	13.31	14.41	0.1707	0.1212
♀	86	9.13	9.93	11.62	13.54	14.66	0.1559	0.1208
♀	87	9.30	10.11	11.82	13.77	14.91	0.1383	0.1205
♀	88	9.47	10.29	12.03	14.01	15.17	0.1177	0.1202
♀	89	9.64	10.48	12.23	14.25	15.43	0.0942	0.1199
♀	90	9.82	10.66	12.44	14.49	15.70	0.0682	0.1196
♀	91	10.00	10.85	12.65	14.74	15.97	0.0396	0.1194
♀	92	10.18	11.04	12.86	14.99	16.25	0.0087	0.1192
♀	93	10.37	11.23	13.08	15.24	16.53	-0.0244	0.1190
♀	94	10.56	11.43	13.30	15.50	16.82	-0.0595	0.1188
♀	95	10.75	11.63	13.53	15.77	17.11	-0.0967	0.1187
♀	96	10.94	11.83	13.75	16.04	17.42	-0.1357	0.1186
♀	97	11.14	12.04	13.99	16.31	17.73	-0.1766	0.1185
♀	98	11.34	12.25	14.22	16.60	18.05	-0.2193	0.1185
♀	99	11.55	12.47	14.47	16.89	18.38	-0.2638	0.1184
♀	100	11.76	12.68	14.71	17.19	18.72	-0.3099	0.1184
♀	101	11.97	12.91	14.96	17.49	19.07	-0.3576	0.1185
♀	102	12.19	13.13	15.22	17.80	19.42	-0.4068	0.1185
♀	103	12.41	13.36	15.47	18.11	19.78	-0.4574	0.1186
♀	104	12.63	13.59	15.73	18.43	20.15	-0.5090	0.1187
♀	105	12.85	13.82	15.99	18.75	20.53	-0.5618	0.1188
♀	106	13.07	14.05	16.26	19.08	20.91	-0.6154	0.1189
♀	107	13.30	14.29	16.52	19.40	21.29	-0.6698	0.1191
♀	108	13.52	14.52	16.78	19.73	21.68	-0.7247	0.1192
♀	109	13.75	14.75	17.05	20.06	22.07	-0.7801	0.1194
♀	110	13.98	14.99	17.31	20.40	22.47	-0.8359	0.1196
♀	111	14.20	15.22	17.58	20.73	22.87	-0.8919	0.1198
♀	112	14.43	15.46	17.84	21.07	23.28	-0.9481	0.1200
♀	113	14.65	15.69	18.11	21.41	23.69	-1.0044	0.1202
♀	114	14.88	15.92	18.37	21.75	24.11	-1.0608	0.1205
♀	115	15.11	16.16	18.64	22.09	24.53	-1.1173	0.1207
♀	116	15.34	16.39	18.90	22.43	24.96	-1.1738	0.1209
♀	117	15.56	16.63	19.17	22.77	25.39	-1.2304	0.1212
♀	118	15.79	16.86	19.43	23.12	25.82	-1.2870	0.1215
♀	119	16.02	17.10	19.70	23.47	26.27	-1.3436	0.1217
♀	120	16.25	17.34	19.97	23.82	26.71	-1.4003	0.1220
♀	121	16.47	17.57	20.23	24.17	27.17	-1.4570	0.1222
♀	122	16.70	17.81	20.50	24.53	27.63	-1.5138	0.1225
♀	123	16.93	18.04	20.77	24.88	28.10	-1.5705	0.1228

uk1990.ref

Citations

• Cole, T.J., Freeman, J.V., Preece, M.A., 1998. British 1990 growth reference centiles for weight, height, body mass index and head circumference fitted by maximum penalized likelihood. Statistics in medicine 17, 407–429.
• Cole, T.J., Freeman, J.V., Preece, M.A., 1995. Body mass index reference curves for the UK, 1990. Archives of disease in childhood 73, 25–29.

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	-0.134	41.14	42.32	44.56	46.80	47.98	1	0.0392
♀	-0.115	41.91	43.11	45.37	47.63	48.83	1	0.0389
♀	-0.096	42.68	43.89	46.18	48.47	49.68	1	0.0386
♀	-0.077	43.46	44.68	46.99	49.30	50.52	1	0.0384
♀	-0.057	44.23	45.47	47.80	50.13	51.37	1	0.0381
♀	-0.038	45.01	46.26	48.61	50.96	52.21	1	0.0378
♀	-0.019	45.78	47.03	49.41	51.79	53.04	1	0.0375
♀	0.000	46.55	47.82	50.22	52.62	53.89	1	0.0372
♀	0.083	49.89	51.21	53.69	56.17	57.49	1	0.0361
♀	0.167	53.01	54.36	56.91	59.46	60.81	1	0.0350
♀	0.250	55.74	57.12	59.73	62.34	63.72	1	0.0340
♀	0.333	58.06	59.46	62.11	64.76	66.16	1	0.0333
♀	0.417	59.99	61.42	64.11	66.80	68.23	1	0.0328
♀	0.500	61.63	63.08	65.82	68.56	70.01	1	0.0324
♀	0.583	63.10	64.57	67.36	70.15	71.62	1	0.0323
♀	0.667	64.43	65.93	68.77	71.61	73.11	1	0.0322
♀	0.750	65.68	67.22	70.12	73.02	74.56	1	0.0323
♀	0.833	66.88	68.45	71.42	74.39	75.96	1	0.0324
♀	0.917	68.04	69.65	72.69	75.73	77.34	1	0.0326
♀	1.000	69.16	70.81	73.92	77.03	78.68	1	0.0329
♀	2.000	79.73	81.84	85.82	89.80	91.91	1	0.0362
♀	3.000	87.45	89.89	94.52	99.15	101.59	1	0.0382
♀	4.000	93.65	96.38	101.54	106.70	109.43	1	0.0397
♀	5.000	100.09	103.13	108.86	114.59	117.63	1	0.0411
♀	6.000	105.82	109.11	115.33	121.55	124.84	1	0.0421
♀	7.000	111.14	114.65	121.27	127.89	131.40	1	0.0426
♀	8.000	116.61	120.33	127.34	134.35	138.07	1	0.0430
♀	9.000	121.37	125.33	132.82	140.31	144.27	1	0.0440
♀	10.000	125.97	130.28	138.43	146.58	150.89	1	0.0459
♀	11.000	130.60	135.28	144.12	152.96	157.64	1	0.0478
♀	12.000	135.80	140.63	149.76	158.89	163.72	1	0.0476
♀	13.000	141.70	146.40	155.28	164.16	168.86	1	0.0446
♀	14.000	146.78	151.22	159.61	168.00	172.44	1	0.0410
♀	15.000	149.97	154.19	162.18	170.17	174.39	1	0.0384
♀	16.000	151.28	155.41	163.22	171.03	175.16	1	0.0373
♀	17.000	151.65	155.75	163.51	171.27	175.37	1	0.0370
♀	18.000	151.72	155.82	163.57	171.32	175.42	1	0.0369
♀	19.000	151.79	155.89	163.63	171.37	175.47	1	0.0369
♀	20.000	151.81	155.90	163.64	171.38	175.47	1	0.0369
♀	21.000	151.83	155.92	163.66	171.40	175.49	1	0.0369
♀	22.000	151.90	156.00	163.73	171.46	175.56	1	0.0368
♀	23.000	152.00	156.09	163.82	171.55	175.64	1	0.0368
♂	-0.134	41.40	42.66	45.05	47.44	48.70	1	0.0414
♂	-0.115	42.21	43.49	45.91	48.33	49.61	1	0.0411
♂	-0.096	43.03	44.32	46.76	49.20	50.49	1	0.0408
♂	-0.077	43.85	45.15	47.62	50.09	51.39	1	0.0404
♂	-0.057	44.67	45.99	48.48	50.97	52.29	1	0.0401
♂	-0.038	45.49	46.82	49.34	51.86	53.19	1	0.0398
♂	-0.019	46.31	47.65	50.19	52.73	54.07	1	0.0394
♂	0.000	47.13	48.48	51.04	53.60	54.95	1	0.0391
♂	0.083	50.65	52.05	54.70	57.35	58.75	1	0.0378
♂	0.167	53.94	55.37	58.09	60.81	62.24	1	0.0365
♂	0.250	56.83	58.30	61.07	63.84	65.31	1	0.0354
♂	0.333	59.28	60.77	63.59	66.41	67.90	1	0.0345
♂	0.417	61.34	62.86	65.71	68.56	70.08	1	0.0339
♂	0.500	63.07	64.60	67.49	70.38	71.91	1	0.0334
♂	0.583	64.56	66.11	69.04	71.97	73.52	1	0.0331
♂	0.667	65.90	67.47	70.45	73.43	75.00	1	0.0330
♂	0.750	67.15	68.75	71.78	74.81	76.41	1	0.0329
♂	0.833	68.35	69.99	73.07	76.15	77.79	1	0.0329
♂	0.917	69.51	71.18	74.32	77.46	79.13	1	0.0330
♂	1.000	70.61	72.30	75.51	78.72	80.41	1	0.0331
♂	2.000	80.75	82.84	86.80	90.76	92.85	1	0.0356
♂	3.000	88.27	90.74	95.41	100.08	102.55	1	0.0382
♂	4.000	94.44	97.23	102.49	107.75	110.54	1	0.0401
♂	5.000	100.72	103.79	109.59	115.39	118.46	1	0.0413
♂	6.000	106.41	109.70	115.93	122.16	125.45	1	0.0419
♂	7.000	111.79	115.29	121.90	128.51	132.01	1	0.0423
♂	8.000	117.12	120.83	127.85	134.87	138.58	1	0.0428
♂	9.000	121.91	125.85	133.28	140.71	144.65	1	0.0435
♂	10.000	126.27	130.47	138.39	146.31	150.51	1	0.0447
♂	11.000	130.34	134.85	143.37	151.89	156.40	1	0.0464
♂	12.000	134.26	139.14	148.36	157.58	162.46	1	0.0485
♂	13.000	139.40	144.72	154.77	164.82	170.14	1	0.0507
♂	14.000	146.10	151.73	162.36	172.99	178.62	1	0.0511
♂	15.000	153.01	158.52	168.94	179.36	184.87	1	0.0481
♂	16.000	158.47	163.64	173.39	183.14	188.31	1	0.0439
♂	17.000	161.80	166.69	175.92	185.15	190.04	1	0.0410
♂	18.000	163.35	168.11	177.09	186.07	190.83	1	0.0396
♂	19.000	163.61	168.34	177.28	186.22	190.95	1	0.0394
♂	20.000	163.68	168.41	177.34	186.27	191.00	1	0.0393
♂	21.000	163.98	168.69	177.57	186.45	191.16	1	0.0390
♂	22.000	164.35	169.02	177.85	186.68	191.35	1	0.0387
♂	23.000	164.84	169.48	178.23	186.98	191.62	1	0.0383

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	-0.326	0.34	0.41	0.53	0.66	0.72	1.101	0.1817
♀	-0.307	0.41	0.49	0.64	0.79	0.87	1.079	0.1792
♀	-0.287	0.49	0.58	0.75	0.92	1.01	1.056	0.1767
♀	-0.268	0.57	0.67	0.86	1.06	1.16	1.034	0.1742
♀	-0.249	0.65	0.76	0.98	1.20	1.31	1.011	0.1717
♀	-0.230	0.74	0.87	1.10	1.34	1.47	0.987	0.1690
♀	-0.211	0.84	0.98	1.24	1.50	1.65	0.963	0.1664
♀	-0.192	0.95	1.10	1.39	1.68	1.84	0.937	0.1636
♀	-0.172	1.07	1.24	1.55	1.88	2.05	0.911	0.1607
♀	-0.153	1.21	1.39	1.74	2.09	2.28	0.885	0.1578
♀	-0.134	1.36	1.56	1.93	2.32	2.53	0.857	0.1548
♀	-0.115	1.52	1.73	2.14	2.56	2.79	0.830	0.1517
♀	-0.096	1.69	1.92	2.36	2.81	3.06	0.801	0.1487
♀	-0.077	1.86	2.10	2.57	3.06	3.33	0.773	0.1457
♀	-0.057	2.04	2.29	2.79	3.31	3.60	0.745	0.1428
♀	-0.038	2.21	2.48	3.00	3.55	3.86	0.717	0.1399
♀	-0.019	2.38	2.66	3.21	3.79	4.10	0.689	0.1371
♀	0.000	2.55	2.83	3.40	4.01	4.34	0.662	0.1345
♀	0.083	3.25	3.58	4.23	4.93	5.32	0.548	0.1246
♀	0.167	3.96	4.32	5.05	5.84	6.29	0.444	0.1173
♀	0.250	4.62	5.01	5.80	6.67	7.17	0.351	0.1121
♀	0.333	5.18	5.60	6.45	7.40	7.94	0.270	0.1085
♀	0.417	5.67	6.11	7.01	8.02	8.59	0.200	0.1062
♀	0.500	6.08	6.54	7.49	8.55	9.16	0.140	0.1047
♀	0.583	6.43	6.91	7.90	9.02	9.67	0.089	0.1038
♀	0.667	6.74	7.24	8.27	9.44	10.12	0.045	0.1034
♀	0.750	7.02	7.53	8.60	9.82	10.53	0.007	0.1032
♀	0.833	7.28	7.80	8.91	10.17	10.91	-0.026	0.1032
♀	0.917	7.51	8.05	9.19	10.50	11.27	-0.055	0.1034
♀	1.000	7.73	8.29	9.46	10.81	11.61	-0.081	0.1037
♀	2.000	9.73	10.44	11.97	13.81	14.93	-0.278	0.1092
♀	3.000	11.39	12.26	14.17	16.52	18.00	-0.411	0.1163
♀	4.000	12.87	13.90	16.20	19.13	21.02	-0.516	0.1244
♀	5.000	14.36	15.55	18.30	21.92	24.33	-0.607	0.1334
♀	6.000	15.87	17.25	20.49	24.89	27.92	-0.684	0.1424
♀	7.000	17.55	19.15	22.98	28.38	32.21	-0.749	0.1522
♀	8.000	19.48	21.34	25.89	32.52	37.39	-0.789	0.1628
♀	9.000	21.41	23.56	28.88	36.80	42.74	-0.785	0.1722
♀	10.000	23.55	26.07	32.31	41.66	48.72	-0.725	0.1812
♀	11.000	25.76	28.72	36.03	46.85	54.85	-0.597	0.1896
♀	12.000	28.61	32.04	40.32	51.99	60.18	-0.418	0.1882
♀	13.000	32.68	36.48	45.36	57.19	65.08	-0.281	0.1752
♀	14.000	36.98	40.95	50.05	61.93	69.70	-0.284	0.1612
♀	15.000	40.40	44.35	53.39	65.19	72.93	-0.378	0.1500
♀	16.000	42.57	46.50	55.54	67.42	75.29	-0.472	0.1446
♀	17.000	43.81	47.75	56.84	68.88	76.92	-0.536	0.1425
♀	18.000	44.47	48.41	57.54	69.71	77.87	-0.572	0.1417
♀	19.000	44.81	48.76	57.92	70.15	78.38	-0.591	0.1414
♀	20.000	44.98	48.94	58.10	70.37	78.64	-0.601	0.1412
♀	21.000	45.04	48.99	58.16	70.44	78.72	-0.604	0.1411
♀	22.000	45.09	49.04	58.21	70.50	78.78	-0.607	0.1410
♀	23.000	45.16	49.12	58.30	70.59	78.89	-0.611	0.1409
♂	-0.326	0.38	0.45	0.58	0.71	0.78	1.181	0.1721
♂	-0.307	0.46	0.54	0.70	0.84	0.92	1.161	0.1704
♂	-0.287	0.53	0.63	0.81	0.98	1.07	1.140	0.1686
♂	-0.268	0.61	0.72	0.92	1.12	1.22	1.120	0.1668
♂	-0.249	0.70	0.82	1.04	1.26	1.37	1.099	0.1650
♂	-0.230	0.79	0.92	1.17	1.41	1.54	1.078	0.1631
♂	-0.211	0.89	1.04	1.31	1.58	1.72	1.055	0.1611
♂	-0.192	1.01	1.16	1.46	1.76	1.92	1.032	0.1591
♂	-0.172	1.13	1.31	1.64	1.96	2.14	1.008	0.1570
♂	-0.153	1.27	1.46	1.82	2.18	2.38	0.983	0.1548
♂	-0.134	1.42	1.63	2.03	2.42	2.63	0.957	0.1526
♂	-0.115	1.59	1.81	2.24	2.67	2.91	0.931	0.1504
♂	-0.096	1.76	2.00	2.46	2.93	3.18	0.904	0.1481
♂	-0.077	1.93	2.19	2.69	3.19	3.47	0.877	0.1458
♂	-0.057	2.11	2.38	2.91	3.45	3.75	0.850	0.1435
♂	-0.038	2.29	2.57	3.13	3.71	4.02	0.823	0.1412
♂	-0.019	2.46	2.76	3.34	3.95	4.28	0.796	0.1390
♂	0.000	2.63	2.94	3.55	4.19	4.54	0.770	0.1369
♂	0.083	3.41	3.77	4.49	5.25	5.67	0.657	0.1285
♂	0.167	4.21	4.61	5.43	6.31	6.79	0.553	0.1216
♂	0.250	4.92	5.37	6.26	7.23	7.78	0.461	0.1163
♂	0.333	5.53	6.01	6.97	8.01	8.61	0.380	0.1123
♂	0.417	6.05	6.54	7.55	8.67	9.30	0.311	0.1095
♂	0.500	6.49	7.00	8.05	9.22	9.89	0.252	0.1075
♂	0.583	6.86	7.39	8.49	9.71	10.41	0.202	0.1062
♂	0.667	7.19	7.74	8.87	10.14	10.87	0.160	0.1054
♂	0.750	7.49	8.05	9.22	10.53	11.29	0.124	0.1049
♂	0.833	7.75	8.33	9.54	10.90	11.69	0.092	0.1047
♂	0.917	8.00	8.59	9.83	11.23	12.05	0.065	0.1046
♂	1.000	8.22	8.83	10.10	11.55	12.39	0.040	0.1046
♂	2.000	10.16	10.91	12.51	14.39	15.52	-0.146	0.1080
♂	3.000	11.85	12.74	14.67	17.00	18.43	-0.296	0.1125
♂	4.000	13.31	14.32	16.55	19.31	21.04	-0.426	0.1165
♂	5.000	14.91	16.06	18.63	21.92	24.04	-0.567	0.1211
♂	6.000	16.51	17.80	20.77	24.69	27.31	-0.711	0.1270
♂	7.000	18.16	19.62	23.05	27.80	31.13	-0.861	0.1350
♂	8.000	19.95	21.61	25.63	31.49	35.84	-1.005	0.1452
♂	9.000	21.83	23.71	28.39	35.53	41.10	-1.092	0.1552
♂	10.000	23.82	25.96	31.35	39.78	46.52	-1.097	0.1635
♂	11.000	25.94	28.39	34.58	44.29	52.05	-1.018	0.1706
♂	12.000	28.13	30.98	38.12	49.04	57.50	-0.852	0.1769
♂	13.000	31.11	34.55	42.97	55.22	64.14	-0.599	0.1817
♂	14.000	34.98	39.18	49.15	62.90	72.33	-0.351	0.1843
♂	15.000	39.58	44.31	55.37	70.16	80.02	-0.263	0.1791
♂	16.000	44.73	49.51	60.59	75.31	85.10	-0.352	0.1634
♂	17.000	49.13	53.72	64.33	78.39	87.75	-0.489	0.1470
♂	18.000	52.02	56.49	66.82	80.54	89.73	-0.599	0.1379
♂	19.000	53.80	58.23	68.45	82.08	91.24	-0.671	0.1334
♂	20.000	54.94	59.34	69.52	83.13	92.31	-0.718	0.1309
♂	21.000	55.79	60.18	70.34	83.94	93.14	-0.752	0.1292
♂	22.000	56.46	60.84	70.98	84.58	93.81	-0.779	0.1279
♂	23.000	57.04	61.41	71.54	85.14	94.38	-0.802	0.1268

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	-0.134	7.52	8.09	9.29	10.68	11.52	-0.103	0.1087
♀	-0.115	8.18	8.77	10.02	11.49	12.36	-0.160	0.1053
♀	-0.096	8.76	9.37	10.67	12.19	13.10	-0.211	0.1024
♀	-0.077	9.29	9.91	11.24	12.80	13.73	-0.256	0.0997
♀	-0.057	9.76	10.39	11.74	13.34	14.29	-0.297	0.0973
♀	-0.038	10.18	10.83	12.20	13.82	14.80	-0.335	0.0952
♀	-0.019	10.58	11.24	12.63	14.27	15.26	-0.371	0.0932
♀	0.000	10.96	11.62	13.03	14.69	15.69	-0.406	0.0915
♀	0.083	12.34	13.03	14.49	16.24	17.29	-0.543	0.0858
♀	0.167	13.33	14.03	15.55	17.36	18.46	-0.657	0.0828
♀	0.250	13.98	14.70	16.25	18.11	19.25	-0.751	0.0812
♀	0.333	14.43	15.16	16.73	18.63	19.80	-0.824	0.0802
♀	0.417	14.73	15.46	17.05	18.97	20.16	-0.881	0.0795
♀	0.500	14.92	15.66	17.25	19.18	20.38	-0.924	0.0790
♀	0.583	15.04	15.77	17.36	19.30	20.50	-0.955	0.0785
♀	0.667	15.09	15.82	17.41	19.34	20.55	-0.977	0.0781
♀	0.750	15.10	15.83	17.41	19.34	20.54	-0.993	0.0778
♀	0.833	15.08	15.80	17.37	19.29	20.49	-1.003	0.0776
♀	0.917	15.03	15.75	17.32	19.23	20.42	-1.010	0.0775
♀	1.000	14.97	15.69	17.25	19.15	20.34	-1.014	0.0775
♀	2.000	14.12	14.81	16.34	18.22	19.41	-1.036	0.0805
♀	3.000	13.67	14.36	15.88	17.79	19.00	-1.084	0.0832
♀	4.000	13.39	14.09	15.66	17.65	18.94	-1.151	0.0873
♀	5.000	13.13	13.85	15.48	17.62	19.04	-1.220	0.0933
♀	6.000	12.99	13.74	15.48	17.83	19.44	-1.277	0.1007
♀	7.000	13.00	13.80	15.68	18.28	20.12	-1.320	0.1085
♀	8.000	13.12	13.97	15.99	18.87	20.96	-1.344	0.1157
♀	9.000	13.34	14.24	16.40	19.53	21.85	-1.348	0.1214
♀	10.000	13.66	14.61	16.90	20.25	22.77	-1.339	0.1255
♀	11.000	14.08	15.07	17.48	21.02	23.70	-1.322	0.1279
♀	12.000	14.56	15.60	18.12	21.82	24.62	-1.302	0.1290
♀	13.000	15.08	16.16	18.77	22.61	25.49	-1.281	0.1292
♀	14.000	15.58	16.69	19.39	23.34	26.29	-1.261	0.1288
♀	15.000	16.03	17.18	19.95	23.98	26.97	-1.242	0.1282
♀	16.000	16.43	17.61	20.44	24.53	27.55	-1.225	0.1276
♀	17.000	16.77	17.97	20.85	24.99	28.02	-1.209	0.1269
♀	18.000	17.06	18.28	21.19	25.37	28.42	-1.194	0.1263
♀	19.000	17.30	18.53	21.48	25.69	28.75	-1.179	0.1258
♀	20.000	17.51	18.76	21.73	25.96	29.03	-1.165	0.1253
♀	21.000	17.70	18.96	21.96	26.21	29.27	-1.151	0.1249
♀	22.000	17.88	19.15	22.17	26.44	29.50	-1.137	0.1245
♀	23.000	18.04	19.32	22.36	26.65	29.71	-1.125	0.1241
♂	-0.134	7.63	8.23	9.46	10.84	11.63	0.220	0.1074
♂	-0.115	8.26	8.89	10.17	11.62	12.45	0.132	0.1046
♂	-0.096	8.83	9.47	10.80	12.30	13.18	0.055	0.1020
♂	-0.077	9.36	10.01	11.38	12.93	13.84	-0.014	0.0998
♂	-0.057	9.84	10.51	11.91	13.50	14.44	-0.076	0.0977
♂	-0.038	10.30	10.98	12.40	14.03	14.99	-0.133	0.0958
♂	-0.019	10.72	11.41	12.85	14.52	15.51	-0.186	0.0941
♂	0.000	11.12	11.81	13.28	14.98	15.99	-0.233	0.0926
♂	0.083	12.67	13.40	14.95	16.76	17.85	-0.398	0.0872
♂	0.167	13.79	14.54	16.14	18.02	19.15	-0.512	0.0836
♂	0.250	14.46	15.22	16.84	18.76	19.91	-0.589	0.0813
♂	0.333	14.87	15.63	17.26	19.18	20.35	-0.641	0.0799
♂	0.417	15.11	15.88	17.51	19.44	20.62	-0.676	0.0790
♂	0.500	15.27	16.03	17.67	19.60	20.78	-0.698	0.0784
♂	0.583	15.36	16.12	17.76	19.70	20.88	-0.711	0.0780
♂	0.667	15.40	16.17	17.80	19.74	20.91	-0.718	0.0777
♂	0.750	15.41	16.17	17.80	19.73	20.90	-0.720	0.0775
♂	0.833	15.38	16.14	17.76	19.69	20.86	-0.720	0.0774
♂	0.917	15.34	16.09	17.71	19.63	20.79	-0.718	0.0773
♂	1.000	15.28	16.03	17.64	19.55	20.72	-0.717	0.0774
♂	2.000	14.40	15.11	16.66	18.51	19.64	-0.814	0.0788
♂	3.000	14.01	14.68	16.13	17.92	19.05	-1.060	0.0777
♂	4.000	13.73	14.36	15.75	17.50	18.62	-1.291	0.0768
♂	5.000	13.53	14.15	15.55	17.34	18.52	-1.481	0.0786
♂	6.000	13.41	14.05	15.50	17.43	18.74	-1.634	0.0833
♂	7.000	13.34	14.01	15.56	17.71	19.23	-1.745	0.0902
♂	8.000	13.37	14.07	15.75	18.15	19.91	-1.818	0.0975
♂	9.000	13.49	14.24	16.04	18.69	20.71	-1.854	0.1039
♂	10.000	13.72	14.51	16.42	19.30	21.55	-1.857	0.1089
♂	11.000	14.04	14.86	16.89	19.97	22.41	-1.837	0.1125
♂	12.000	14.43	15.30	17.43	20.68	23.27	-1.799	0.1149
♂	13.000	14.89	15.80	18.04	21.44	24.13	-1.750	0.1163
♂	14.000	15.39	16.34	18.67	22.20	24.97	-1.697	0.1170
♂	15.000	15.90	16.89	19.32	22.96	25.78	-1.643	0.1172
♂	16.000	16.39	17.43	19.94	23.67	26.53	-1.590	0.1171
♂	17.000	16.86	17.93	20.52	24.32	27.21	-1.538	0.1168
♂	18.000	17.30	18.40	21.05	24.92	27.82	-1.488	0.1164
♂	19.000	17.70	18.83	21.54	25.46	28.36	-1.439	0.1159
♂	20.000	18.06	19.22	21.99	25.95	28.86	-1.392	0.1155
♂	21.000	18.40	19.58	22.40	26.40	29.31	-1.347	0.1151
♂	22.000	18.71	19.92	22.79	26.83	29.73	-1.304	0.1147
♂	23.000	19.01	20.24	23.15	27.23	30.13	-1.263	0.1143

LEGLENGTH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.000	14.93	15.53	16.66	17.79	18.38	1	0.0528
♀	0.083	15.94	16.58	17.79	18.99	19.63	1	0.0528
♀	0.167	16.94	17.62	18.90	20.18	20.86	1	0.0528
♀	0.250	17.93	18.64	20.00	21.35	22.07	1	0.0528
♀	0.333	18.87	19.63	21.05	22.48	23.23	1	0.0528
♀	0.417	19.78	20.57	22.07	23.56	24.35	1	0.0528
♀	0.500	20.64	21.47	23.03	24.59	25.41	1	0.0528
♀	0.583	21.45	22.31	23.93	25.55	26.40	1	0.0528
♀	0.667	22.21	23.10	24.77	26.45	27.34	1	0.0528
♀	0.750	22.93	23.84	25.58	27.31	28.22	1	0.0528
♀	0.833	23.61	24.55	26.33	28.12	29.06	1	0.0528
♀	0.917	24.25	25.22	27.06	28.89	29.86	1	0.0528
♀	1.000	24.87	25.87	27.75	29.63	30.62	1	0.0528
♀	2.000	31.21	32.46	34.82	37.17	38.42	1	0.0528
♀	3.000	35.90	37.33	40.04	42.76	44.19	1	0.0528
♀	4.000	39.52	41.10	44.09	47.07	48.65	1	0.0528
♀	5.000	43.14	44.87	48.13	51.39	53.11	1	0.0528
♀	6.000	46.63	48.50	52.02	55.54	57.41	1	0.0528
♀	7.000	49.90	51.90	55.67	59.44	61.43	1	0.0528
♀	8.000	52.95	55.07	59.06	63.06	65.18	1	0.0528
♀	9.000	55.93	58.16	62.39	66.61	68.85	1	0.0528
♀	10.000	58.93	61.29	65.74	70.19	72.55	1	0.0528
♀	11.000	61.98	64.46	69.14	73.83	76.30	1	0.0528
♀	12.000	64.71	67.30	72.19	77.07	79.66	1	0.0528
♀	13.000	66.63	69.30	74.33	79.37	82.03	1	0.0528
♀	14.000	67.78	70.49	75.61	80.73	83.44	1	0.0528
♀	15.000	68.46	71.19	76.36	81.54	84.27	1	0.0528
♀	16.000	68.85	71.60	76.81	82.01	84.76	1	0.0528
♀	17.000	69.00	71.76	76.97	82.18	84.94	1	0.0528
♀	18.000	69.03	71.79	77.00	82.22	84.98	1	0.0528
♀	19.000	69.12	71.88	77.10	82.33	85.09	1	0.0528
♀	20.000	69.17	71.94	77.16	82.39	85.15	1	0.0528
♀	21.000	69.21	71.98	77.21	82.43	85.20	1	0.0528
♀	22.000	69.41	72.19	77.43	82.68	85.45	1	0.0528
♀	23.000	69.75	72.54	77.81	83.08	85.87	1	0.0528
♂	0.000	15.26	15.89	17.10	18.31	18.94	1	0.0550
♂	0.083	16.20	16.87	18.15	19.43	20.11	1	0.0550
♂	0.167	17.13	17.85	19.20	20.56	21.27	1	0.0550
♂	0.250	18.05	18.81	20.24	21.66	22.42	1	0.0550
♂	0.333	18.96	19.76	21.26	22.76	23.55	1	0.0550
♂	0.417	19.86	20.69	22.26	23.83	24.66	1	0.0550
♂	0.500	20.73	21.60	23.23	24.87	25.74	1	0.0550
♂	0.583	21.57	22.47	24.18	25.88	26.79	1	0.0550
♂	0.667	22.38	23.31	25.08	26.85	27.79	1	0.0550
♂	0.750	23.14	24.11	25.94	27.77	28.74	1	0.0550
♂	0.833	23.88	24.88	26.76	28.65	29.65	1	0.0550
♂	0.917	24.56	25.59	27.53	29.48	30.50	1	0.0550
♂	1.000	25.21	26.27	28.26	30.26	31.31	1	0.0550
♂	2.000	31.08	32.38	34.84	37.30	38.60	1	0.0550
♂	3.000	35.60	37.09	39.90	42.72	44.21	1	0.0550
♂	4.000	39.45	41.10	44.22	47.33	48.99	1	0.0550
♂	5.000	43.09	44.89	48.30	51.70	53.50	1	0.0550
♂	6.000	46.73	48.69	52.38	56.07	58.03	1	0.0550
♂	7.000	50.27	52.37	56.35	60.32	62.43	1	0.0550
♂	8.000	53.67	55.92	60.16	64.40	66.65	1	0.0550
♂	9.000	56.52	58.89	63.36	67.83	70.20	1	0.0550
♂	10.000	58.94	61.40	66.06	70.72	73.19	1	0.0550
♂	11.000	61.23	63.79	68.64	73.48	76.04	1	0.0550
♂	12.000	63.78	66.45	71.49	76.53	79.20	1	0.0550
♂	13.000	66.86	69.65	74.94	80.23	83.03	1	0.0550
♂	14.000	70.12	73.06	78.60	84.15	87.08	1	0.0550
♂	15.000	72.65	75.69	81.44	87.18	90.22	1	0.0550
♂	16.000	74.21	77.31	83.18	89.05	92.16	1	0.0550
♂	17.000	75.05	78.19	84.13	90.06	93.20	1	0.0550
♂	18.000	75.40	78.56	84.52	90.48	93.64	1	0.0550
♂	19.000	75.47	78.63	84.60	90.56	93.72	1	0.0550
♂	20.000	75.54	78.70	84.67	90.65	93.81	1	0.0550
♂	21.000	75.66	78.83	84.81	90.79	93.96	1	0.0550
♂	22.000	75.79	78.97	84.96	90.95	94.12	1	0.0550
♂	23.000	75.93	79.11	85.11	91.11	94.29	1	0.0550

SITH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.000	31.70	32.73	34.68	36.62	37.65	1	0.0438
♀	0.083	33.13	34.20	36.24	38.27	39.35	1	0.0438
♀	0.167	34.52	35.64	37.76	39.88	41.00	1	0.0438
♀	0.250	35.85	37.01	39.22	41.42	42.58	1	0.0438
♀	0.333	37.09	38.29	40.57	42.85	44.05	1	0.0438
♀	0.417	38.24	39.48	41.83	44.18	45.42	1	0.0438
♀	0.500	39.28	40.56	42.97	45.38	46.66	1	0.0438
♀	0.583	40.22	41.52	43.99	46.46	47.77	1	0.0438
♀	0.667	41.05	42.39	44.91	47.43	48.76	1	0.0438
♀	0.750	41.80	43.16	45.73	48.29	49.65	1	0.0438
♀	0.833	42.47	43.85	46.46	49.07	50.45	1	0.0438
♀	0.917	43.08	44.48	47.12	49.77	51.17	1	0.0438
♀	1.000	43.63	45.05	47.73	50.40	51.82	1	0.0438
♀	2.000	47.96	49.52	52.46	55.41	56.97	1	0.0438
♀	3.000	50.93	52.59	55.72	58.84	60.50	1	0.0438
♀	4.000	53.23	54.96	58.23	61.50	63.23	1	0.0438
♀	5.000	55.03	56.82	60.20	63.58	65.37	1	0.0438
♀	6.000	57.09	58.95	62.45	65.96	67.81	1	0.0438
♀	7.000	59.56	61.49	65.15	68.80	70.74	1	0.0438
♀	8.000	62.11	64.13	67.95	71.76	73.78	1	0.0438
♀	9.000	64.52	66.62	70.58	74.54	76.64	1	0.0438
♀	10.000	66.90	69.08	73.18	77.29	79.47	1	0.0438
♀	11.000	69.70	71.96	76.24	80.52	82.79	1	0.0438
♀	12.000	72.87	75.24	79.71	84.19	86.55	1	0.0438
♀	13.000	75.51	77.97	82.60	87.24	89.69	1	0.0438
♀	14.000	77.27	79.78	84.52	89.27	91.78	1	0.0438
♀	15.000	78.44	80.99	85.81	90.62	93.17	1	0.0438
♀	16.000	79.29	81.87	86.73	91.60	94.18	1	0.0438
♀	17.000	79.89	82.48	87.39	92.29	94.89	1	0.0438
♀	18.000	80.21	82.82	87.74	92.67	95.27	1	0.0438
♀	19.000	80.38	82.99	87.93	92.87	95.48	1	0.0438
♀	20.000	80.61	83.23	88.18	93.13	95.75	1	0.0438
♀	21.000	80.90	83.53	88.50	93.46	96.09	1	0.0438
♀	22.000	81.33	83.97	88.97	93.96	96.60	1	0.0438
♀	23.000	81.88	84.54	89.57	94.60	97.26	1	0.0438
♂	0.000	31.14	32.26	34.38	36.50	37.62	1	0.0481
♂	0.083	32.62	33.80	36.02	38.24	39.42	1	0.0481
♂	0.167	34.08	35.31	37.63	39.95	41.18	1	0.0481
♂	0.250	35.49	36.77	39.19	41.61	42.89	1	0.0481
♂	0.333	36.83	38.15	40.66	43.17	44.50	1	0.0481
♂	0.417	38.07	39.44	42.03	44.62	46.00	1	0.0481
♂	0.500	39.21	40.62	43.29	45.96	47.37	1	0.0481
♂	0.583	40.24	41.69	44.43	47.17	48.62	1	0.0481
♂	0.667	41.17	42.66	45.46	48.26	49.75	1	0.0481
♂	0.750	42.00	43.52	46.38	49.24	50.75	1	0.0481
♂	0.833	42.77	44.31	47.22	50.13	51.67	1	0.0481
♂	0.917	43.44	45.00	47.96	50.92	52.48	1	0.0481
♂	1.000	44.05	45.64	48.64	51.64	53.23	1	0.0481
♂	2.000	48.46	50.21	53.51	56.81	58.56	1	0.0481
♂	3.000	51.16	53.01	56.49	59.97	61.82	1	0.0481
♂	4.000	53.30	55.22	58.85	62.48	64.40	1	0.0481
♂	5.000	55.15	57.14	60.90	64.65	66.64	1	0.0481
♂	6.000	57.25	59.31	63.21	67.11	69.17	1	0.0481
♂	7.000	59.69	61.84	65.91	69.97	72.12	1	0.0481
♂	8.000	62.28	64.53	68.77	73.01	75.25	1	0.0481
♂	9.000	64.61	66.94	71.33	75.73	78.06	1	0.0481
♂	10.000	66.67	69.08	73.62	78.16	80.56	1	0.0481
♂	11.000	68.45	70.92	75.58	80.24	82.70	1	0.0481
♂	12.000	70.10	72.63	77.40	82.18	84.70	1	0.0481
♂	13.000	72.25	74.85	79.77	84.69	87.29	1	0.0481
♂	14.000	75.69	78.42	83.57	88.72	91.45	1	0.0481
♂	15.000	79.30	82.16	87.56	92.96	95.81	1	0.0481
♂	16.000	81.94	84.90	90.47	96.05	99.01	1	0.0481
♂	17.000	83.68	86.70	92.40	98.10	101.11	1	0.0481
♂	18.000	84.67	87.73	93.49	99.26	102.31	1	0.0481
♂	19.000	85.21	88.28	94.08	99.88	102.95	1	0.0481
♂	20.000	85.50	88.58	94.41	100.23	103.31	1	0.0481
♂	21.000	85.68	88.77	94.60	100.43	103.52	1	0.0481
♂	22.000	85.81	88.90	94.75	100.59	103.68	1	0.0481
♂	23.000	85.94	89.03	94.88	100.74	103.83	1	0.0481

WAIST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	3	43.98	45.62	49.20	53.60	56.37	-1.5700	0.0625
♀	4	44.52	46.21	49.95	54.65	57.67	-1.7187	0.0649
♀	5	45.07	46.82	50.72	55.72	59.01	-1.8680	0.0673
♀	6	45.73	47.53	51.60	56.97	60.59	-2.0319	0.0699
♀	7	46.61	48.48	52.77	58.59	62.64	-2.2138	0.0728
♀	8	47.63	49.57	54.10	60.41	64.95	-2.3613	0.0758
♀	9	48.60	50.61	55.36	62.10	67.06	-2.4288	0.0782
♀	10	49.62	51.71	56.67	63.76	69.03	-2.4261	0.0800
♀	11	50.94	53.11	58.24	65.56	70.97	-2.3686	0.0805
♀	12	52.61	54.85	60.11	67.48	72.83	-2.2692	0.0794
♀	13	54.28	56.58	61.91	69.23	74.41	-2.1508	0.0775
♀	14	55.66	57.99	63.36	70.60	75.62	-2.0432	0.0758
♀	15	56.65	59.01	64.42	71.61	76.52	-1.9540	0.0746
♀	16	57.42	59.82	65.27	72.46	77.31	-1.8753	0.0740
♀	17	58.13	60.57	66.08	73.27	78.08	-1.7957	0.0735
♂	3	45.37	46.96	50.34	54.35	56.78	-1.3055	0.0568
♂	4	45.78	47.43	50.99	55.27	57.91	-1.4140	0.0594
♂	5	46.20	47.92	51.66	56.24	59.11	-1.5275	0.0622
♂	6	46.68	48.47	52.41	57.34	60.50	-1.6571	0.0652
♂	7	47.31	49.19	53.37	58.75	62.30	-1.8244	0.0687
♂	8	48.16	50.12	54.59	60.55	64.63	-2.0353	0.0729
♂	9	49.23	51.28	56.08	62.73	67.51	-2.2651	0.0773
♂	10	50.51	52.66	57.79	65.21	70.79	-2.4542	0.0815
♂	11	51.95	54.22	59.71	67.85	74.20	-2.5431	0.0852
♂	12	53.54	55.95	61.80	70.57	77.50	-2.5143	0.0881
♂	13	55.28	57.84	64.06	73.32	80.56	-2.3795	0.0901
♂	14	57.03	59.79	66.39	75.99	83.24	-2.1292	0.0916
♂	15	58.76	61.73	68.73	78.56	85.68	-1.8286	0.0925
♂	16	60.48	63.66	71.04	81.09	88.10	-1.5557	0.0933
♂	17	62.17	65.57	73.33	83.60	90.54	-1.3079	0.0940

BODYFAT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	13.89	15.08	18.04	22.54	26.03	-1.0870	0.1544
♀	6	14.44	15.78	19.11	24.19	28.12	-0.9669	0.1645
♀	7	14.96	16.45	20.18	25.84	30.18	-0.8468	0.1740
♀	8	15.42	17.07	21.19	27.37	32.05	-0.7267	0.1824
♀	9	15.80	17.61	22.08	28.71	33.61	-0.6066	0.1892
♀	10	16.07	18.01	22.78	29.71	34.71	-0.4865	0.1943
♀	11	16.19	18.25	23.24	30.31	35.28	-0.3663	0.1974
♀	12	16.22	18.38	23.55	30.66	35.51	-0.2462	0.1993
♀	13	16.18	18.45	23.78	30.91	35.64	-0.1261	0.2013
♀	14	16.08	18.47	23.98	31.16	35.80	-0.0060	0.2042
♀	15	15.89	18.40	24.14	31.41	36.00	0.1141	0.2085
♀	16	15.60	18.28	24.28	31.68	36.25	0.2342	0.2144
♀	17	15.26	18.12	24.43	32.00	36.56	0.3544	0.2211
♀	18	14.90	17.98	24.63	32.39	36.95	0.4745	0.2282
♀	19	14.52	17.85	24.88	32.83	37.39	0.5946	0.2352
♂	5	12.24	13.16	15.55	19.62	23.34	-1.6807	0.1502
♂	6	12.42	13.41	16.02	20.60	24.95	-1.6336	0.1610
♂	7	12.62	13.68	16.53	21.68	26.74	-1.5814	0.1720
♂	8	12.78	13.93	17.03	22.77	28.60	-1.5205	0.1833
♂	9	12.88	14.11	17.46	23.79	30.37	-1.4463	0.1947
♂	10	12.88	14.18	17.76	24.60	31.76	-1.3539	0.2056
♂	11	12.63	13.99	17.74	24.87	32.23	-1.2410	0.2153
♂	12	12.14	13.54	17.36	24.53	31.67	-1.1095	0.2239
♂	13	11.53	12.94	16.79	23.79	30.45	-0.9685	0.2309
♂	14	10.95	12.37	16.21	22.95	29.03	-0.8238	0.2361
♂	15	10.49	11.93	15.78	22.26	27.77	-0.6768	0.2397
♂	16	10.16	11.65	15.53	21.80	26.81	-0.5241	0.2423
♂	17	9.92	11.47	15.44	21.54	26.14	-0.3580	0.2447
♂	18	9.70	11.34	15.44	21.40	25.64	-0.1761	0.2474
♂	19	9.43	11.19	15.44	21.27	25.17	0.0208	0.2505

us.ref

Citations

• Sharma, A. K., Metzger, D. L., Daymont, C., Hadjiyannakis, S. & Rodd, C. J. LMS tables for waist-circumference and waist-height ratio Z-scores in children aged 5-19 y in NHANES III: association with cardio-metabolic risks. Pediatric research (2015)

WC_SHARMA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	45.20	47.26	52.30	59.94	66.04	-2.52	0.090
♀	6	46.41	48.65	54.20	62.92	70.23	-2.53	0.097
♀	7	47.74	50.15	56.20	65.99	74.53	-2.53	0.103
♀	8	49.05	51.63	58.20	69.12	79.00	-2.51	0.109
♀	9	50.33	53.09	60.20	72.31	83.66	-2.48	0.115
♀	10	51.65	54.58	62.20	75.40	88.10	-2.44	0.120
♀	11	53.01	56.11	64.20	78.39	92.28	-2.40	0.124
♀	12	54.35	57.62	66.20	81.40	96.48	-2.35	0.128
♀	13	55.66	59.11	68.19	84.43	100.68	-2.29	0.132
♀	14	56.93	60.55	70.09	87.16	104.21	-2.22	0.135
♀	15	58.09	61.89	71.90	89.78	107.60	-2.15	0.138
♀	16	59.15	63.13	73.60	92.26	110.72	-2.07	0.141
♀	17	60.18	64.34	75.30	94.72	113.70	-1.98	0.144
♀	18	61.15	65.52	77.00	97.11	116.39	-1.87	0.147
♀	19	62.02	66.61	78.60	99.38	118.86	-1.76	0.150
♂	5	45.98	47.82	52.30	59.10	64.57	-2.96	0.080
♂	6	47.25	49.24	54.20	62.12	68.98	-3.07	0.087
♂	7	48.57	50.70	56.10	65.12	73.45	-3.14	0.093
♂	8	49.96	52.23	58.09	68.32	78.40	-3.20	0.099
♂	9	51.30	53.70	59.99	71.33	83.07	-3.23	0.104
♂	10	52.70	55.24	61.98	74.49	87.99	-3.23	0.109
♂	11	54.14	56.82	63.97	77.52	92.56	-3.21	0.113
♂	12	55.55	58.37	65.97	80.57	97.15	-3.17	0.117
♂	13	57.06	60.01	67.97	83.29	100.71	-3.11	0.119
♂	14	58.39	61.49	69.86	86.05	104.53	-3.03	0.122
♂	15	59.92	63.16	71.87	88.57	107.36	-2.94	0.123
♂	16	61.26	64.66	73.77	91.11	110.38	-2.83	0.125
♂	17	62.57	66.12	75.58	93.31	112.54	-2.71	0.126
♂	18	63.94	67.65	77.49	95.59	114.67	-2.58	0.127
♂	19	65.19	69.07	79.29	97.69	116.38	-2.43	0.128

WHTR_SHARMA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	0.42	0.44	0.49	0.55	0.60	-2.16	0.087
♀	6	0.41	0.43	0.48	0.55	0.60	-2.13	0.094
♀	7	0.40	0.42	0.47	0.55	0.60	-2.09	0.100
♀	8	0.39	0.41	0.46	0.54	0.61	-2.06	0.106
♀	9	0.38	0.40	0.46	0.54	0.61	-2.03	0.112
♀	10	0.38	0.40	0.46	0.55	0.62	-2.01	0.117
♀	11	0.37	0.40	0.45	0.55	0.63	-2.00	0.121
♀	12	0.37	0.39	0.45	0.55	0.63	-2.00	0.125
♀	13	0.37	0.39	0.45	0.55	0.65	-2.00	0.129
♀	14	0.37	0.39	0.45	0.56	0.66	-2.01	0.132
♀	15	0.37	0.39	0.46	0.57	0.67	-2.02	0.135
♀	16	0.37	0.40	0.46	0.57	0.68	-2.03	0.137
♀	17	0.37	0.40	0.46	0.58	0.69	-2.03	0.139
♀	18	0.38	0.40	0.47	0.59	0.70	-2.03	0.142
♀	19	0.38	0.40	0.47	0.59	0.72	-2.02	0.144
♂	5	0.43	0.44	0.48	0.54	0.59	-2.88	0.078
♂	6	0.41	0.43	0.47	0.54	0.59	-2.91	0.084
♂	7	0.40	0.42	0.47	0.54	0.60	-2.94	0.091
♂	8	0.40	0.41	0.46	0.54	0.61	-2.97	0.096
♂	9	0.39	0.41	0.45	0.53	0.61	-2.99	0.101
♂	10	0.38	0.40	0.45	0.54	0.62	-3.01	0.106
♂	11	0.38	0.40	0.45	0.54	0.63	-3.02	0.110
♂	12	0.37	0.39	0.44	0.54	0.64	-3.02	0.114
♂	13	0.37	0.39	0.44	0.54	0.64	-3.00	0.116
♂	14	0.37	0.39	0.44	0.54	0.65	-2.97	0.118
♂	15	0.37	0.39	0.44	0.54	0.65	-2.93	0.120
♂	16	0.37	0.39	0.44	0.54	0.65	-2.87	0.121
♂	17	0.37	0.39	0.45	0.55	0.66	-2.80	0.122
♂	18	0.37	0.39	0.45	0.55	0.66	-2.73	0.122
♂	19	0.37	0.40	0.45	0.55	0.66	-2.66	0.123

valencia_nc.ref

Citations

• Valencia-Sosa E, Chávez-Palencia C, Vallarta-Robledo JR, et al. Percentile Reference Values for the Neck Circumference of Mexican Children. Children 2021;8(5):407.

NC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	6	23.68	24.37	25.75	27.22	28.03	-0.1859	0.0431
♂	7	24.15	24.84	26.25	27.80	28.69	-0.7149	0.0439
♂	8	24.66	25.36	26.81	28.46	29.43	-1.2831	0.0449
♂	9	25.22	25.92	27.41	29.17	30.25	-1.8881	0.0459
♂	10	25.83	26.53	28.06	29.95	31.16	-2.5277	0.0470
♂	11	26.48	27.18	28.76	30.81	32.18	-3.2002	0.0482
♀	6	22.58	23.26	24.60	26.01	26.78	0.1292	0.0435
♀	7	23.14	23.78	25.13	26.68	27.59	-1.4136	0.0447
♀	8	23.70	24.34	25.72	27.40	28.47	-2.4229	0.0460
♀	9	24.24	24.93	26.40	28.16	29.26	-2.0373	0.0474
♀	10	24.79	25.59	27.23	29.02	30.04	-0.5193	0.0490
♀	11	25.44	26.41	28.25	30.08	31.05	1.0549	0.0507

who2007.ref

Citations

• Onis, M. de, Onyango, A.W., Borghi, E., Siyam, A., Nishida, C., Siekmann, J., 2007. Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World health Organization 85, 660–667.

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma	tau
♂	6	13.08	13.77	15.31	17.22	18.44	-0.9921	0.0868	2
♂	7	13.19	13.89	15.48	17.55	18.93	-1.2460	0.0907	2
♂	8	13.34	14.06	15.74	18.00	19.57	-1.4629	0.0953	2
♂	9	13.53	14.28	16.05	18.54	20.35	-1.6318	0.1004	2
♂	10	13.78	14.56	16.44	19.19	21.26	-1.7407	0.1057	2
♂	11	14.10	14.93	16.94	19.95	22.29	-1.7862	0.1107	2
♂	12	14.50	15.38	17.53	20.81	23.40	-1.7751	0.1152	2
♂	13	14.99	15.92	18.23	21.76	24.56	-1.7168	0.1190	2
♂	14	15.53	16.53	19.00	22.76	25.71	-1.6211	0.1219	2
♂	15	16.07	17.14	19.77	23.71	26.76	-1.4961	0.1241	2
♂	16	16.57	17.71	20.50	24.58	27.66	-1.3529	0.1258	2
♂	17	17.00	18.22	21.14	25.34	28.42	-1.1962	0.1272	2
♂	18	17.35	18.65	21.71	25.99	29.04	-1.0260	0.1284	2
♂	19	17.63	19.00	22.19	26.53	29.52	-0.8419	0.1295	2
♀	6	12.74	13.51	15.27	17.58	19.12	-1.0794	0.1020	2
♀	7	12.78	13.57	15.40	17.92	19.67	-1.2565	0.1075	2
♀	8	12.93	13.74	15.68	18.43	20.43	-1.3880	0.1129	2
♀	9	13.19	14.04	16.10	19.10	21.36	-1.4650	0.1182	2
♀	10	13.52	14.42	16.61	19.88	22.40	-1.4864	0.1231	2
♀	11	13.94	14.90	17.25	20.78	23.53	-1.4606	0.1275	2
♀	12	14.45	15.47	18.00	21.80	24.76	-1.4006	0.1313	2
♀	13	15.00	16.10	18.80	22.86	25.99	-1.3195	0.1344	2
♀	14	15.51	16.69	19.56	23.84	27.10	-1.2266	0.1370	2
♀	15	15.94	17.18	20.21	24.66	28.00	-1.1311	0.1390	2
♀	16	16.24	17.55	20.70	25.27	28.64	-1.0368	0.1407	2
♀	17	16.43	17.78	21.04	25.69	29.06	-0.9423	0.1421	2
♀	18	16.52	17.92	21.26	25.96	29.30	-0.8462	0.1433	2
♀	19	16.58	18.02	21.43	26.15	29.45	-0.7496	0.1444	2

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma	tau
♂	6	106.29	109.64	115.95	122.26	125.61	1	0.0425	2
♂	7	111.37	114.96	121.73	128.51	132.09	1	0.0434	2
♂	8	116.20	120.03	127.27	134.50	138.34	1	0.0444	2
♂	9	120.78	124.86	132.57	140.27	144.35	1	0.0454	2
♂	10	125.29	129.61	137.78	145.95	150.27	1	0.0463	2
♂	11	129.92	134.49	143.11	151.74	156.30	1	0.0470	2
♂	12	135.19	140.00	149.08	158.16	162.97	1	0.0475	2
♂	13	141.48	146.52	156.04	165.56	170.60	1	0.0476	2
♂	14	148.10	153.32	163.18	173.04	178.26	1	0.0471	2
♂	15	153.66	158.96	168.96	178.96	184.25	1	0.0462	2
♂	16	157.66	162.94	172.90	182.86	188.13	1	0.0449	2
♂	17	160.18	165.36	175.16	184.96	190.14	1	0.0436	2
♂	18	161.50	166.57	176.14	185.72	190.79	1	0.0424	2
♂	19	162.24	167.19	176.54	185.90	190.85	1	0.0413	2
♀	6	105.09	108.56	115.12	121.69	125.16	1	0.0445	2
♀	7	110.10	113.80	120.81	127.82	131.52	1	0.0452	2
♀	8	115.19	119.13	126.56	133.99	137.92	1	0.0458	2
♀	9	120.52	124.66	132.49	140.33	144.47	1	0.0461	2
♀	10	126.10	130.44	138.64	146.83	151.17	1	0.0461	2
♀	11	131.97	136.48	144.99	153.51	158.02	1	0.0458	2
♀	12	137.83	142.47	151.23	160.00	164.64	1	0.0452	2
♀	13	142.77	147.48	156.37	165.27	169.98	1	0.0444	2
♀	14	146.18	150.89	159.79	168.69	173.40	1	0.0435	2
♀	15	148.19	152.85	161.67	170.49	175.15	1	0.0425	2
♀	16	149.21	153.82	162.52	171.21	175.82	1	0.0418	2
♀	17	149.74	154.28	162.85	171.43	175.97	1	0.0411	2
♀	18	150.11	154.59	163.06	171.53	176.01	1	0.0405	2
♀	19	150.33	154.77	163.15	171.54	175.97	1	0.0401	2

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma	tau
♂	6	15.95	17.36	20.51	24.47	26.97	-0.3180	0.1337	2
♂	7	17.74	19.32	22.89	27.50	30.50	-0.4402	0.1376	2
♂	8	19.57	21.33	25.42	30.85	34.49	-0.5482	0.1434	2
♂	9	21.38	23.38	28.11	34.62	39.14	-0.6337	0.1523	2
♂	10	23.33	25.63	31.16	39.03	44.66	-0.6764	0.1630	2
♀	6	15.35	16.80	20.16	24.65	27.65	-0.5013	0.1490	2
♀	7	16.87	18.51	22.37	27.62	31.21	-0.5347	0.1556	2
♀	8	18.69	20.57	25.03	31.20	35.49	-0.5627	0.1619	2
♀	9	20.88	23.04	28.20	35.48	40.62	-0.5833	0.1676	2
♀	10	23.41	25.88	31.86	40.39	46.48	-0.5958	0.1726	2

zong13.ref

Citations

• Zong, X.-N. & Li, H. Construction of a New Growth References for China Based on Urban Chinese Children: Comparison with the WHO Growth Standards. PLOS ONE 8, e59569 (2013).

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.0000000	46.41	47.54	49.7	51.92	53.11	0.45	0.0344
♀	0.0833333	49.88	51.18	53.7	56.29	57.69	0.43	0.0371
♀	0.1666667	53.24	54.66	57.4	60.22	61.75	0.40	0.0378
♀	0.2500000	56.36	57.81	60.6	63.48	65.03	0.38	0.0365
♀	0.3333333	58.87	60.31	63.1	65.97	67.52	0.36	0.0350
♀	0.4166667	60.89	62.36	65.2	68.12	69.71	0.35	0.0345
♀	0.5000000	62.37	63.88	66.8	69.81	71.43	0.33	0.0346
♀	0.6666667	64.90	66.50	69.6	72.80	74.53	0.32	0.0353
♀	0.8333333	67.44	69.13	72.4	75.78	77.61	0.30	0.0358
♀	1.0000000	69.84	71.60	75.0	78.52	80.43	0.29	0.0360
♀	2.0000000	80.62	82.85	87.2	91.71	94.16	0.28	0.0396
♀	3.0000000	89.06	91.52	96.3	101.25	103.94	0.31	0.0394
♀	3.0000000	88.36	90.82	95.6	100.55	103.24	0.31	0.0397
♀	4.0000000	95.56	98.13	103.1	108.23	111.01	0.36	0.0382
♀	5.0000000	102.02	104.81	110.2	115.74	118.74	0.42	0.0387
♀	6.0000000	107.78	110.79	116.6	122.56	125.79	0.48	0.0394
♀	7.0000000	112.90	116.19	122.5	128.96	132.45	0.55	0.0407
♀	8.0000000	118.13	121.68	128.5	135.45	139.19	0.63	0.0418
♀	9.0000000	122.89	126.74	134.1	141.58	145.59	0.71	0.0432
♀	10.0000000	127.85	132.07	140.1	148.22	152.56	0.81	0.0450
♀	11.0000000	133.67	138.13	146.6	155.11	159.64	0.91	0.0452
♀	12.0000000	139.74	144.12	152.4	160.68	165.06	1.00	0.0424
♀	13.0000000	144.48	148.58	156.3	164.00	168.07	1.06	0.0385
♀	14.0000000	147.47	151.33	158.6	165.84	169.66	1.09	0.0357
♀	15.0000000	149.02	152.76	159.8	166.81	170.50	1.11	0.0343
♀	16.0000000	149.39	153.11	160.1	167.06	170.73	1.11	0.0340
♀	17.0000000	149.67	153.36	160.3	167.21	170.85	1.12	0.0337
♀	18.0000000	150.01	153.69	160.6	167.48	171.10	1.12	0.0335
♂	0.0000000	46.97	48.15	50.4	52.69	53.92	0.61	0.0352
♂	0.0833333	50.79	52.16	54.8	57.49	58.93	0.59	0.0379
♂	0.1666667	54.36	55.85	58.7	61.61	63.18	0.57	0.0383
♂	0.2500000	57.59	59.10	62.0	64.96	66.56	0.55	0.0369
♂	0.3333333	60.15	61.68	64.6	67.59	69.19	0.54	0.0357
♂	0.4166667	62.17	63.72	66.7	69.74	71.38	0.53	0.0352
♂	0.5000000	63.77	65.36	68.4	71.51	73.18	0.52	0.0351
♂	0.6666667	66.37	68.02	71.2	74.45	76.20	0.50	0.0352
♂	0.8333333	68.97	70.69	74.0	77.39	79.21	0.49	0.0353
♂	1.0000000	71.23	73.03	76.5	80.05	81.97	0.48	0.0358
♂	2.0000000	81.74	84.05	88.5	93.08	95.55	0.46	0.0398
♂	3.0000000	90.13	92.65	97.5	102.49	105.19	0.45	0.0394
♂	3.0000000	89.43	91.94	96.8	101.79	104.49	0.45	0.0397
♂	4.0000000	96.40	99.03	104.1	109.30	112.12	0.46	0.0385
♂	5.0000000	102.96	105.81	111.3	116.94	119.98	0.47	0.0390
♂	6.0000000	108.74	111.80	117.7	123.75	127.01	0.50	0.0396
♂	7.0000000	114.25	117.58	124.0	130.58	134.13	0.53	0.0409
♂	8.0000000	119.49	123.08	130.0	137.08	140.89	0.57	0.0420
♂	9.0000000	124.15	128.00	135.4	142.96	147.02	0.62	0.0431
♂	10.0000000	128.23	132.33	140.2	148.22	152.52	0.67	0.0442
♂	11.0000000	132.36	136.80	145.3	153.93	158.56	0.73	0.0460
♂	12.0000000	137.49	142.45	151.9	161.45	166.54	0.83	0.0488
♂	13.0000000	144.32	149.56	159.5	169.47	174.77	0.94	0.0487
♂	14.0000000	151.80	156.69	165.9	175.10	179.96	1.03	0.0433
♂	15.0000000	156.98	161.43	169.8	178.14	182.54	1.09	0.0384
♂	16.0000000	159.38	163.62	171.6	179.54	183.73	1.11	0.0362
♂	17.0000000	160.33	164.48	172.3	180.07	184.17	1.12	0.0353
♂	18.0000000	160.83	164.95	172.7	180.40	184.46	1.13	0.0349

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.0000000	2.55	2.76	3.21	3.75	4.08	-0.14	0.1203
♀	0.0833333	3.34	3.62	4.20	4.90	5.32	-0.15	0.1182
♀	0.1666667	4.17	4.50	5.21	6.06	6.57	-0.17	0.1160
♀	0.2500000	4.93	5.31	6.13	7.11	7.70	-0.18	0.1138
♀	0.3333333	5.51	5.93	6.83	7.90	8.55	-0.18	0.1121
♀	0.4166667	5.95	6.40	7.36	8.50	9.19	-0.19	0.1109
♀	0.5000000	6.29	6.76	7.77	8.97	9.69	-0.20	0.1101
♀	0.6666667	6.82	7.33	8.41	9.69	10.46	-0.20	0.1091
♀	0.8333333	7.26	7.80	8.94	10.29	11.11	-0.21	0.1084
♀	1.0000000	7.64	8.20	9.40	10.82	11.68	-0.22	0.1080
♀	2.0000000	9.67	10.39	11.92	13.74	14.85	-0.24	0.1092
♀	3.0000000	11.41	12.27	14.13	16.36	17.73	-0.27	0.1123
♀	4.0000000	12.99	13.99	16.17	18.81	20.44	-0.29	0.1155
♀	5.0000000	14.51	15.68	18.26	21.42	23.39	-0.31	0.1215
♀	6.0000000	15.95	17.32	20.37	24.18	26.59	-0.33	0.1301
♀	7.0000000	17.40	19.01	22.64	27.28	30.26	-0.35	0.1408
♀	8.0000000	18.99	20.89	25.25	30.95	34.69	-0.36	0.1532
♀	9.0000000	20.69	22.93	28.19	35.26	40.03	-0.38	0.1675
♀	10.0000000	22.69	25.37	31.76	40.63	46.77	-0.39	0.1833
♀	11.0000000	25.40	28.53	36.10	46.78	54.27	-0.39	0.1923
♀	12.0000000	28.96	32.43	40.77	52.49	60.69	-0.41	0.1873
♀	13.0000000	32.69	36.28	44.79	56.46	64.47	-0.43	0.1720
♀	14.0000000	35.99	39.55	47.83	58.88	66.28	-0.45	0.1548
♀	15.0000000	38.34	41.83	49.82	60.28	67.16	-0.47	0.1422
♀	16.0000000	39.57	43.00	50.81	60.91	67.50	-0.48	0.1355
♀	17.0000000	40.08	43.48	51.20	61.16	67.64	-0.49	0.1328
♀	18.0000000	40.35	43.73	51.41	61.28	67.69	-0.49	0.1313
♂	0.0000000	2.60	2.83	3.32	3.86	4.16	0.35	0.1202
♂	0.0833333	3.54	3.86	4.51	5.24	5.65	0.29	0.1190
♂	0.1666667	4.48	4.87	5.68	6.58	7.10	0.24	0.1172
♂	0.2500000	5.32	5.77	6.70	7.75	8.36	0.19	0.1154
♂	0.3333333	5.94	6.43	7.45	8.61	9.28	0.15	0.1139
♂	0.4166667	6.39	6.91	8.00	9.23	9.95	0.12	0.1129
♂	0.5000000	6.73	7.28	8.41	9.70	10.46	0.09	0.1123
♂	0.6666667	7.26	7.84	9.05	10.43	11.24	0.06	0.1114
♂	0.8333333	7.70	8.31	9.58	11.04	11.90	0.03	0.1109
♂	1.0000000	8.09	8.72	10.05	11.58	12.48	0.01	0.1106
♂	2.0000000	10.13	10.90	12.54	14.45	15.59	-0.09	0.1101
♂	3.0000000	11.84	12.73	14.65	16.91	18.28	-0.17	0.1108
♂	4.0000000	13.41	14.43	16.64	19.29	20.91	-0.25	0.1133
♂	5.0000000	15.13	16.33	18.98	22.23	24.25	-0.33	0.1201
♂	6.0000000	16.64	18.07	21.26	25.29	27.87	-0.39	0.1311
♂	7.0000000	18.29	20.04	24.06	29.35	32.86	-0.44	0.1486
♂	8.0000000	20.08	22.24	27.33	34.31	39.09	-0.45	0.1687
♂	9.0000000	21.76	24.32	30.46	39.09	45.14	-0.43	0.1846
♂	10.0000000	23.57	26.55	33.74	43.86	50.93	-0.36	0.1953
♂	11.0000000	25.84	29.33	37.69	49.21	57.08	-0.24	0.2016
♂	12.0000000	28.62	32.76	42.49	55.49	64.11	-0.10	0.2056
♂	13.0000000	32.31	37.05	48.08	62.57	72.02	-0.04	0.2045
♂	14.0000000	36.83	41.81	53.37	68.54	78.45	-0.10	0.1928
♂	15.0000000	40.89	45.77	57.08	72.00	81.82	-0.22	0.1766
♂	16.0000000	43.77	48.47	59.35	73.73	83.26	-0.33	0.1634
♂	17.0000000	45.54	50.11	60.68	74.62	83.84	-0.39	0.1550
♂	18.0000000	46.52	51.02	61.40	75.08	84.15	-0.43	0.1504

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	0.0000000	11.01	11.65	13.00	14.59	15.55	-0.44	0.0878
♀	0.0833333	12.36	13.05	14.52	16.21	17.21	-0.31	0.0844
♀	0.1666667	13.48	14.24	15.84	17.69	18.80	-0.34	0.0848
♀	0.2500000	14.20	15.00	16.69	18.65	19.82	-0.37	0.0850
♀	0.3333333	14.59	15.41	17.14	19.15	20.36	-0.40	0.0848
♀	0.4166667	14.79	15.61	17.35	19.38	20.59	-0.43	0.0843
♀	0.5000000	14.87	15.68	17.41	19.43	20.64	-0.45	0.0835
♀	0.6666667	14.84	15.63	17.31	19.28	20.46	-0.50	0.0818
♀	0.8333333	14.66	15.43	17.05	18.95	20.09	-0.54	0.0802
♀	1.0000000	14.43	15.17	16.74	18.58	19.69	-0.57	0.0790
♀	2.0000000	13.57	14.24	15.67	17.36	18.40	-0.73	0.0772
♀	3.0000000	13.23	13.87	15.25	16.91	17.92	-0.84	0.0771
♀	3.0000000	13.38	14.03	15.42	17.11	18.16	-0.95	0.0773
♀	4.0000000	13.10	13.74	15.15	16.88	17.97	-1.01	0.0801
♀	5.0000000	12.85	13.51	14.99	16.84	18.02	-1.05	0.0854
♀	6.0000000	12.69	13.39	14.96	16.96	18.25	-1.06	0.0915
♀	7.0000000	12.60	13.34	15.02	17.20	18.64	-1.07	0.0984
♀	8.0000000	12.60	13.40	15.21	17.62	19.25	-1.07	0.1062
♀	9.0000000	12.74	13.59	15.57	18.25	20.10	-1.06	0.1142
♀	10.0000000	13.01	13.93	16.09	19.07	21.17	-1.06	0.1215
♀	11.0000000	13.42	14.40	16.74	20.01	22.34	-1.05	0.1270
♀	12.0000000	13.91	14.96	17.45	20.97	23.50	-1.05	0.1305
♀	13.0000000	14.43	15.52	18.15	21.88	24.58	-1.05	0.1325
♀	14.0000000	14.91	16.05	18.78	22.67	25.49	-1.05	0.1334
♀	15.0000000	15.32	16.50	19.31	23.32	26.23	-1.05	0.1337
♀	16.0000000	15.64	16.85	19.72	23.82	26.79	-1.05	0.1337
♀	17.0000000	15.90	17.12	20.04	24.20	27.21	-1.05	0.1335
♀	18.0000000	16.13	17.37	20.32	24.53	27.58	-1.05	0.1333
♂	0.0000000	11.10	11.74	13.07	14.55	15.41	-0.03	0.0837
♂	0.0833333	12.45	13.29	14.91	16.58	17.48	0.72	0.0861
♂	0.1666667	13.83	14.72	16.48	18.35	19.38	0.47	0.0860
♂	0.2500000	14.70	15.62	17.48	19.50	20.64	0.25	0.0866
♂	0.3333333	15.04	15.97	17.87	19.98	21.19	0.07	0.0874
♂	0.4166667	15.15	16.07	17.97	20.12	21.37	-0.08	0.0878
♂	0.5000000	15.17	16.07	17.96	20.12	21.38	-0.19	0.0875
♂	0.6666667	15.09	15.95	17.76	19.86	21.12	-0.36	0.0856
♂	0.8333333	14.94	15.75	17.48	19.50	20.72	-0.47	0.0833
♂	1.0000000	14.75	15.53	17.19	19.14	20.31	-0.54	0.0814
♂	2.0000000	13.93	14.61	16.07	17.80	18.86	-0.73	0.0770
♂	3.0000000	13.46	14.08	15.43	17.06	18.07	-0.97	0.0746
♂	3.0000000	13.67	14.30	15.66	17.31	18.34	-1.02	0.0745
♂	4.0000000	13.34	13.96	15.32	17.00	18.07	-1.14	0.0767
♂	5.0000000	13.13	13.78	15.22	17.04	18.21	-1.19	0.0823
♂	6.0000000	13.04	13.75	15.35	17.42	18.79	-1.19	0.0916
♂	7.0000000	13.01	13.79	15.59	17.98	19.60	-1.15	0.1027
♂	8.0000000	13.07	13.94	15.96	18.72	20.63	-1.11	0.1140
♂	9.0000000	13.23	14.18	16.42	19.54	21.75	-1.06	0.1240
♂	10.0000000	13.48	14.51	16.96	20.42	22.90	-1.01	0.1321
♂	11.0000000	13.80	14.90	17.54	21.29	24.00	-0.97	0.1379
♂	12.0000000	14.15	15.32	18.12	22.12	25.01	-0.94	0.1419
♂	13.0000000	14.52	15.74	18.67	22.87	25.91	-0.92	0.1443
♂	14.0000000	14.88	16.15	19.19	23.54	26.69	-0.90	0.1457
♂	15.0000000	15.22	16.53	19.66	24.13	27.36	-0.88	0.1463
♂	16.0000000	15.55	16.88	20.09	24.66	27.95	-0.87	0.1465
♂	17.0000000	15.84	17.21	20.48	25.12	28.46	-0.85	0.1464
♂	18.0000000	16.12	17.51	20.84	25.56	28.93	-0.84	0.1463

Category: lab

bone.ref

Citations

• Geserick M, Vogel M, Eckelt F, et al. Children and adolescents with obesity have reduced serum bone turnover markers and 25-hydroxyvitamin D but increased parathyroid hormone concentrations – Results derived from new pediatric reference ranges. Bone 2020;132:115124.
• Weber J. et al. In preparation.

OSTEOCALCINE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1500000	59.62	73.78	120.05	186.92	221.42	0.3510	0.2044	3.0630
♂	0.2333333	58.82	72.68	117.75	182.65	216.18	0.3480	0.2047	3.0481
♂	0.3166667	58.03	71.60	115.50	178.51	211.10	0.3451	0.2050	3.0333
♂	0.4000000	57.25	70.55	113.31	174.50	206.18	0.3423	0.2052	3.0187
♂	0.4833333	56.49	69.51	111.18	170.61	201.41	0.3394	0.2055	3.0043
♂	0.5666667	55.75	68.50	109.11	166.84	196.80	0.3366	0.2058	2.9900
♂	0.6500000	55.02	67.52	107.10	163.20	192.35	0.3338	0.2061	2.9758
♂	0.7333333	54.31	66.56	105.15	159.69	188.05	0.3311	0.2064	2.9618
♂	0.8166667	53.61	65.62	103.26	156.30	183.90	0.3285	0.2067	2.9480
♂	0.9000000	52.94	64.71	101.43	153.03	179.91	0.3258	0.2070	2.9343
♂	0.9833333	52.28	63.83	99.67	149.88	176.07	0.3232	0.2073	2.9208
♀	0.1500000	55.72	69.35	111.16	172.42	207.15	0.3468	0.1583	2.6971
♀	0.2333333	55.07	68.52	109.39	169.01	202.94	0.3439	0.1611	2.6670
♀	0.3166667	54.43	67.71	107.67	165.68	198.84	0.3411	0.1640	2.6373
♀	0.4000000	53.80	66.91	105.98	162.45	194.86	0.3384	0.1668	2.6082
♀	0.4833333	53.19	66.13	104.34	159.32	191.01	0.3356	0.1695	2.5795
♀	0.5666667	52.59	65.37	102.74	156.29	187.27	0.3330	0.1723	2.5513
♀	0.6500000	52.01	64.63	101.19	153.35	183.66	0.3303	0.1750	2.5236
♀	0.7333333	51.44	63.90	99.68	150.51	180.17	0.3277	0.1776	2.4964
♀	0.8166667	50.89	63.20	98.22	147.76	176.81	0.3251	0.1802	2.4697
♀	0.9000000	50.35	62.52	96.81	145.12	173.56	0.3226	0.1827	2.4435
♀	0.9833333	49.84	61.86	95.44	142.57	170.44	0.3201	0.1851	2.4178

BETACTX

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1500000	629.34	745.91	989.36	1272.51	1444.15	0.2084	0.4323	1.9108
♂	0.2333333	628.91	746.70	993.30	1280.02	1453.29	0.2102	0.4385	1.9184
♂	0.3166667	628.47	747.48	997.27	1287.61	1462.51	0.2119	0.4447	1.9260
♂	0.4000000	628.03	748.28	1001.30	1295.29	1471.84	0.2137	0.4509	1.9336
♂	0.4833333	627.58	749.08	1005.38	1303.06	1481.26	0.2155	0.4571	1.9413
♂	0.5666667	627.13	749.90	1009.52	1310.93	1490.78	0.2173	0.4632	1.9490
♂	0.6500000	626.68	750.75	1013.72	1318.89	1500.40	0.2190	0.4694	1.9568
♂	0.7333333	626.25	751.62	1017.99	1326.95	1510.14	0.2208	0.4756	1.9645
♂	0.8166667	625.84	752.52	1022.33	1335.12	1519.97	0.2226	0.4819	1.9723
♂	0.9000000	625.45	753.47	1026.75	1343.40	1529.93	0.2243	0.4881	1.9801
♂	0.9833333	625.09	754.46	1031.26	1351.79	1539.99	0.2261	0.4943	1.9878
♀	0.1500000	644.13	752.52	989.31	1276.40	1453.32	0.2062	0.2694	1.9595
♀	0.2333333	641.95	751.64	991.61	1282.47	1461.36	0.2084	0.2786	1.9634
♀	0.3166667	639.75	750.76	993.97	1288.63	1469.51	0.2107	0.2878	1.9673
♀	0.4000000	637.54	749.89	996.37	1294.89	1477.78	0.2130	0.2969	1.9712
♀	0.4833333	635.32	749.03	998.84	1301.27	1486.17	0.2152	0.3061	1.9751
♀	0.5666667	633.10	748.20	1001.38	1307.76	1494.69	0.2175	0.3152	1.9790
♀	0.6500000	630.89	747.39	1004.00	1314.37	1503.35	0.2198	0.3243	1.9829
♀	0.7333333	628.69	746.62	1006.71	1321.12	1512.16	0.2221	0.3334	1.9868
♀	0.8166667	626.51	745.90	1009.52	1328.02	1521.13	0.2244	0.3424	1.9907
♀	0.9000000	624.36	745.23	1012.44	1335.06	1530.26	0.2267	0.3514	1.9945
♀	0.9833333	622.25	744.63	1015.47	1342.27	1539.57	0.2290	0.3604	1.9983

VITD25OH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1500000	10.69	22.80	44.77	66.39	79.44	0.4095	1.1630	1.5489
♂	0.2333333	10.42	22.27	43.96	65.34	78.16	0.4107	1.1529	1.5695
♂	0.3166667	10.16	21.76	43.17	64.31	76.91	0.4119	1.1428	1.5905
♂	0.4000000	9.91	21.26	42.39	63.30	75.68	0.4131	1.1328	1.6117
♂	0.4833333	9.67	20.77	41.63	62.31	74.47	0.4142	1.1227	1.6332
♂	0.5666667	9.43	20.29	40.88	61.33	73.28	0.4154	1.1126	1.6549
♂	0.6500000	9.21	19.83	40.14	60.36	72.11	0.4166	1.1026	1.6768
♂	0.7333333	8.99	19.38	39.42	59.41	70.96	0.4178	1.0925	1.6990
♂	0.8166667	8.78	18.95	38.71	58.48	69.83	0.4190	1.0824	1.7213
♂	0.9000000	8.58	18.52	38.01	57.57	68.72	0.4202	1.0723	1.7438
♂	0.9833333	8.39	18.11	37.33	56.67	67.63	0.4213	1.0622	1.7665
♀	0.1500000	14.04	24.23	45.57	68.92	82.07	0.3860	0.8272	1.9615
♀	0.2333333	13.78	23.69	44.68	67.74	80.66	0.3875	0.8195	1.9846
♀	0.3166667	13.52	23.17	43.82	66.59	79.29	0.3891	0.8118	2.0079
♀	0.4000000	13.28	22.66	42.97	65.46	77.93	0.3906	0.8041	2.0317
♀	0.4833333	13.04	22.16	42.13	64.35	76.60	0.3922	0.7964	2.0557
♀	0.5666667	12.80	21.68	41.32	63.26	75.30	0.3938	0.7888	2.0800
♀	0.6500000	12.57	21.20	40.52	62.19	74.01	0.3953	0.7811	2.1047
♀	0.7333333	12.35	20.74	39.73	61.13	72.75	0.3969	0.7735	2.1296
♀	0.8166667	12.14	20.29	38.96	60.10	71.51	0.3984	0.7659	2.1549
♀	0.9000000	11.92	19.86	38.21	59.08	70.29	0.3999	0.7584	2.1804
♀	0.9833333	11.72	19.43	37.47	58.08	69.10	0.4015	0.7509	2.2061

VITD25OH_SUMMER

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1500000	14.49	26.81	48.05	67.04	76.98	0.3365	1.3473	1.8181
♂	0.2333333	14.19	26.31	47.27	66.10	75.98	0.3382	1.3353	1.8157
♂	0.3166667	13.89	25.83	46.51	65.16	74.98	0.3399	1.3234	1.8134
♂	0.4000000	13.60	25.35	45.77	64.25	74.00	0.3416	1.3115	1.8111
♂	0.4833333	13.32	24.88	45.03	63.34	73.04	0.3433	1.2996	1.8087
♂	0.5666667	13.04	24.42	44.30	62.45	72.08	0.3450	1.2877	1.8064
♂	0.6500000	12.77	23.96	43.59	61.57	71.15	0.3467	1.2758	1.8041
♂	0.7333333	12.50	23.52	42.89	60.70	70.22	0.3484	1.2640	1.8018
♂	0.8166667	12.24	23.09	42.20	59.85	69.31	0.3502	1.2521	1.7994
♂	0.9000000	11.99	22.66	41.52	59.00	68.41	0.3519	1.2403	1.7971
♂	0.9833333	11.75	22.24	40.85	58.17	67.53	0.3536	1.2285	1.7947
♀	0.1500000	13.44	24.31	47.57	69.64	79.43	0.3662	1.1229	2.5277
♀	0.2333333	13.28	23.94	46.85	68.67	78.37	0.3669	1.1120	2.5315
♀	0.3166667	13.13	23.58	46.13	67.72	77.32	0.3676	1.1012	2.5359
♀	0.4000000	12.99	23.23	45.42	66.77	76.29	0.3683	1.0904	2.5410
♀	0.4833333	12.85	22.88	44.72	65.84	75.27	0.3689	1.0796	2.5466
♀	0.5666667	12.72	22.53	44.04	64.92	74.25	0.3696	1.0688	2.5528
♀	0.6500000	12.59	22.20	43.36	64.02	73.25	0.3702	1.0580	2.5596
♀	0.7333333	12.46	21.87	42.69	63.12	72.26	0.3708	1.0473	2.5669
♀	0.8166667	12.34	21.54	42.03	62.23	71.28	0.3714	1.0366	2.5748
♀	0.9000000	12.22	21.22	41.38	61.36	70.30	0.3720	1.0260	2.5833
♀	0.9833333	12.10	20.91	40.74	60.49	69.34	0.3726	1.0154	2.5923

VITD25OH_WINTER

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1500000	8.83	20.08	42.78	66.96	81.77	0.4516	0.9581	1.6451
♂	0.2333333	8.62	19.55	41.85	65.67	80.14	0.4524	0.9485	1.6727
♂	0.3166667	8.41	19.04	40.94	64.41	78.55	0.4532	0.9388	1.7010
♂	0.4000000	8.22	18.55	40.06	63.17	76.98	0.4541	0.9292	1.7298
♂	0.4833333	8.03	18.07	39.19	61.96	75.45	0.4549	0.9196	1.7591
♂	0.5666667	7.86	17.61	38.34	60.77	73.95	0.4558	0.9100	1.7889
♂	0.6500000	7.69	17.17	37.51	59.61	72.48	0.4566	0.9004	1.8193
♂	0.7333333	7.54	16.74	36.70	58.46	71.04	0.4574	0.8908	1.8501
♂	0.8166667	7.39	16.32	35.91	57.34	69.64	0.4582	0.8812	1.8813
♂	0.9000000	7.25	15.93	35.14	56.25	68.26	0.4590	0.8716	1.9131
♂	0.9833333	7.13	15.54	34.38	55.17	66.91	0.4597	0.8621	1.9452
♀	0.1500000	15.10	24.78	46.41	70.84	84.29	0.3879	0.7628	2.0924
♀	0.2333333	14.77	24.11	45.23	69.20	82.35	0.3892	0.7535	2.1128
♀	0.3166667	14.44	23.47	44.08	67.60	80.46	0.3906	0.7442	2.1335
♀	0.4000000	14.12	22.84	42.96	66.03	78.61	0.3919	0.7349	2.1543
♀	0.4833333	13.81	22.23	41.87	64.51	76.81	0.3933	0.7256	2.1753
♀	0.5666667	13.51	21.64	40.81	63.02	75.06	0.3947	0.7163	2.1964
♀	0.6500000	13.21	21.06	39.77	61.58	73.35	0.3960	0.7070	2.2177
♀	0.7333333	12.93	20.51	38.77	60.16	71.69	0.3974	0.6977	2.2392
♀	0.8166667	12.64	19.96	37.79	58.79	70.06	0.3988	0.6884	2.2607
♀	0.9000000	12.37	19.44	36.84	57.45	68.48	0.4002	0.6792	2.2824
♀	0.9833333	12.10	18.93	35.92	56.15	66.95	0.4016	0.6699	2.3042

PTH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	0.97	1.27	2.19	3.81	5.02	0.4258	-0.0164	2.2152
♂	0.2500000	0.98	1.28	2.21	3.82	5.02	0.4223	-0.0130	2.1984
♂	0.3333333	0.99	1.30	2.22	3.83	5.02	0.4188	-0.0095	2.1819
♂	0.4166667	1.00	1.31	2.24	3.84	5.03	0.4154	-0.0060	2.1656
♂	0.5000000	1.02	1.33	2.26	3.85	5.03	0.4120	-0.0024	2.1496
♂	0.5833333	1.03	1.34	2.28	3.86	5.04	0.4087	0.0013	2.1338
♂	0.6666667	1.04	1.36	2.30	3.87	5.04	0.4053	0.0051	2.1183
♂	0.7500000	1.05	1.38	2.31	3.88	5.05	0.4021	0.0090	2.1031
♂	0.8333333	1.07	1.39	2.33	3.89	5.05	0.3988	0.0130	2.0881
♂	0.9166667	1.08	1.41	2.35	3.90	5.05	0.3956	0.0171	2.0735
♂	1.0000000	1.09	1.42	2.36	3.91	5.06	0.3925	0.0214	2.0591
♂	2.0000000	1.23	1.60	2.55	3.99	5.07	0.3583	0.0819	1.9090
♂	5.0000000	1.44	1.86	2.80	4.05	4.94	0.3062	0.2492	1.7422
♂	6.0000000	1.46	1.88	2.81	4.05	4.92	0.3028	0.2608	1.7913
♂	7.0000000	1.48	1.88	2.82	4.07	4.92	0.3016	0.2409	1.8883
♂	8.0000000	1.51	1.89	2.83	4.11	4.95	0.3019	0.1945	2.0125
♂	17.0000000	1.84	2.32	3.29	4.84	6.52	0.3031	-0.2684	1.3122
♂	18.0000000	1.85	2.34	3.29	4.79	6.53	0.2997	-0.2767	1.2101
♀	0.1666667	1.09	1.39	2.41	4.21	5.35	0.4231	-0.0055	2.7811
♀	0.2500000	1.10	1.40	2.43	4.24	5.40	0.4222	-0.0064	2.7646
♀	0.3333333	1.11	1.41	2.46	4.27	5.44	0.4213	-0.0073	2.7482
♀	0.4166667	1.13	1.43	2.48	4.31	5.48	0.4204	-0.0082	2.7320
♀	0.5000000	1.14	1.44	2.50	4.34	5.53	0.4195	-0.0090	2.7160
♀	0.5833333	1.15	1.46	2.52	4.37	5.57	0.4185	-0.0099	2.7001
♀	0.6666667	1.16	1.47	2.54	4.40	5.61	0.4176	-0.0108	2.6844
♀	0.7500000	1.17	1.49	2.56	4.43	5.65	0.4166	-0.0116	2.6689
♀	0.8333333	1.18	1.50	2.58	4.46	5.69	0.4156	-0.0124	2.6535
♀	0.9166667	1.19	1.52	2.61	4.49	5.73	0.4146	-0.0132	2.6382
♀	1.0000000	1.21	1.53	2.63	4.52	5.77	0.4135	-0.0140	2.6230
♀	2.0000000	1.34	1.70	2.85	4.79	6.12	0.3978	-0.0192	2.4523
♀	5.0000000	1.64	2.04	3.07	4.61	5.66	0.3175	0.0476	2.0752
♀	6.0000000	1.71	2.09	3.08	4.48	5.42	0.2957	0.0766	2.0447
♀	7.0000000	1.75	2.13	3.09	4.42	5.29	0.2837	0.0983	2.0804
♀	8.0000000	1.78	2.16	3.12	4.44	5.28	0.2798	0.1090	2.1737
♀	17.0000000	1.82	2.04	2.93	4.16	4.63	0.2658	0.0840	5.2312
♀	18.0000000	1.82	2.01	2.84	3.97	4.34	0.2510	0.1229	6.6860

P1NP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	1027.25	1218.59	1849.15	2932.27	3647.63	0.3337	-0.2288	2.7082
♂	0.2500000	986.18	1170.59	1772.82	2799.49	3477.24	0.3316	-0.2203	2.6823
♂	0.3333333	946.94	1124.71	1699.99	2673.45	3315.81	0.3296	-0.2118	2.6570
♂	0.4166667	909.48	1080.88	1630.56	2553.91	3163.00	0.3276	-0.2034	2.6321
♂	0.5000000	873.77	1039.06	1564.43	2440.59	3018.41	0.3256	-0.1950	2.6077
♂	0.5833333	839.74	999.18	1501.49	2333.27	2881.71	0.3236	-0.1867	2.5838
♂	0.6666667	807.34	961.19	1441.64	2231.68	2752.53	0.3217	-0.1784	2.5605
♂	0.7500000	776.53	925.03	1384.77	2135.58	2630.53	0.3198	-0.1701	2.5377
♂	0.8333333	747.25	890.64	1330.77	2044.75	2515.39	0.3179	-0.1619	2.5155
♂	0.9166667	719.44	857.96	1279.55	1958.94	2406.77	0.3160	-0.1538	2.4939
♂	1.0000000	693.06	826.94	1231.00	1877.94	2304.38	0.3142	-0.1457	2.4728
♂	2.0000000	471.58	565.14	823.07	1208.79	1463.45	0.2934	-0.0579	2.2623
♂	5.0000000	333.48	398.04	546.82	745.35	879.98	0.2459	0.0798	1.9056
♂	6.0000000	334.18	398.93	543.10	732.93	864.01	0.2394	0.0946	1.8306
♂	7.0000000	332.15	397.56	540.73	729.01	861.32	0.2393	0.0960	1.7836
♂	8.0000000	327.76	394.04	540.24	734.74	872.91	0.2460	0.0830	1.7800
♂	17.0000000	129.79	162.79	350.86	766.08	969.43	0.5742	-0.0216	5.5597
♂	18.0000000	96.59	120.45	272.06	626.22	790.21	0.6083	-0.0279	6.6838
♀	0.1666667	941.88	1214.30	1813.62	2648.69	3296.11	0.3107	0.1475	1.6429
♀	0.2500000	905.63	1167.40	1741.10	2535.46	3147.53	0.3089	0.1589	1.6443
♀	0.3333333	870.95	1122.52	1671.81	2427.69	3006.57	0.3071	0.1702	1.6459
♀	0.4166667	837.79	1079.62	1605.67	2325.20	2872.94	0.3053	0.1814	1.6475
♀	0.5000000	806.12	1038.63	1542.60	2227.81	2746.36	0.3036	0.1926	1.6493
♀	0.5833333	775.90	999.51	1482.49	2135.35	2626.53	0.3019	0.2037	1.6511
♀	0.6666667	747.08	962.20	1425.27	2047.63	2513.19	0.3003	0.2147	1.6530
♀	0.7500000	719.62	926.66	1370.85	1964.48	2406.05	0.2986	0.2255	1.6550
♀	0.8333333	693.49	892.83	1319.12	1885.72	2304.84	0.2971	0.2363	1.6571
♀	0.9166667	668.64	860.65	1269.99	1811.17	2209.30	0.2955	0.2469	1.6594
♀	1.0000000	645.02	830.06	1223.39	1740.66	2119.18	0.2940	0.2574	1.6617
♀	2.0000000	445.02	570.29	829.74	1153.81	1377.77	0.2783	0.3655	1.6979
♀	5.0000000	336.89	413.89	582.56	788.20	916.09	0.2509	0.3821	1.9286
♀	6.0000000	345.82	419.72	589.44	800.51	929.04	0.2506	0.3219	2.0360
♀	7.0000000	349.08	421.32	595.54	817.71	950.94	0.2565	0.2644	2.1428
♀	8.0000000	348.60	421.51	605.92	848.22	992.55	0.2697	0.2171	2.2366
♀	17.0000000	33.69	49.16	92.18	168.46	236.54	0.4875	0.0677	1.7367
♀	18.0000000	22.52	33.19	61.18	108.83	151.59	0.4729	0.1014	1.6465

VITDBP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	5	267.22	290.78	338.52	390.57	419.91	0.1150	0.4135
♂	6	268.66	293.22	342.58	395.82	425.57	0.1168	0.4959
♂	7	269.62	295.01	346.14	401.39	432.30	0.1199	0.4958
♂	8	270.40	296.44	349.36	407.28	440.00	0.1237	0.4315
♂	9	271.02	297.44	352.01	413.02	448.04	0.1280	0.3215
♂	10	271.08	297.58	353.41	417.50	455.09	0.1321	0.1841
♂	11	270.35	296.61	353.07	419.79	459.86	0.1355	0.0378
♂	12	268.97	294.71	351.05	419.45	461.49	0.1377	-0.0990
♂	13	267.77	292.84	348.39	417.19	460.24	0.1380	-0.2080
♂	14	267.94	292.31	346.56	414.28	456.97	0.1360	-0.2707
♂	15	269.98	293.68	346.13	411.05	451.71	0.1311	-0.2688
♂	16	273.57	296.55	346.51	406.75	443.64	0.1232	-0.1838
♂	17	278.23	300.32	346.93	400.74	432.52	0.1125	0.0026
♂	18	284.01	304.90	347.24	393.47	419.59	0.0994	0.3090
♀	5	286.60	308.52	351.37	396.06	420.43	0.0972	0.6639
♀	6	282.57	305.23	352.40	405.85	436.92	0.1112	0.1236
♀	7	278.94	302.51	353.43	414.22	451.12	0.1226	-0.1270
♀	8	275.47	300.26	354.46	420.26	460.74	0.1311	-0.1529
♀	9	272.11	298.44	355.49	423.71	465.09	0.1367	-0.0196
♀	10	268.95	297.07	356.52	425.03	465.30	0.1397	0.2078
♀	11	266.30	296.26	357.56	425.07	463.35	0.1405	0.4638
♀	12	264.68	296.16	358.59	424.67	461.05	0.1399	0.6833
♀	13	264.74	296.92	359.62	424.58	459.81	0.1386	0.8010
♀	14	267.02	298.63	360.65	425.44	460.78	0.1373	0.7516
♀	15	271.65	301.27	361.68	427.97	465.46	0.1366	0.4698
♀	16	278.15	304.65	362.71	433.31	476.76	0.1374	-0.1097
♀	17	285.68	308.51	363.74	443.99	503.27	0.1403	-1.0522
♀	18	293.40	312.50	364.61	466.78	584.46	0.1462	-2.4229

iron.ref

Citations

• Rieger, K. et al. Reference intervals for iron-related blood parameters: results from a population-based cohort study (LIFE Child). LaboratoriumsMedizin 40, (2016).

FERR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	2	10.68	14.93	28.68	60.47	97.10	0.5480	-0.1915	1.8143
♂	3	11.65	16.15	29.66	58.41	89.96	0.5071	-0.1685	1.7410
♂	4	12.63	17.35	30.68	57.13	85.02	0.4727	-0.1455	1.6826
♂	5	13.55	18.49	31.76	56.71	82.19	0.4464	-0.1221	1.6406
♂	6	14.42	19.57	32.93	57.00	80.92	0.4270	-0.0982	1.6116
♂	7	15.14	20.53	34.17	58.05	81.31	0.4160	-0.0741	1.5933
♂	8	15.55	21.21	35.44	60.00	83.69	0.4165	-0.0500	1.5846
♂	9	15.55	21.53	36.66	62.90	88.15	0.4295	-0.0261	1.5853
♂	10	15.26	21.57	37.85	66.48	94.05	0.4506	-0.0027	1.5966
♂	11	14.83	21.41	38.96	70.39	100.54	0.4753	0.0196	1.6226
♂	12	14.25	21.07	39.96	74.58	107.47	0.5031	0.0409	1.6663
♂	13	13.72	20.70	40.93	78.76	114.03	0.5294	0.0612	1.7269
♂	14	13.55	20.67	42.09	82.44	118.82	0.5450	0.0810	1.8016
♂	15	13.75	21.04	43.66	86.17	122.89	0.5523	0.1007	1.8877
♂	16	13.95	21.48	45.72	91.34	129.09	0.5636	0.1205	1.9853
♂	17	13.86	21.69	48.22	98.89	139.25	0.5871	0.1407	2.0984
♂	18	13.34	21.49	51.15	109.44	154.29	0.6254	0.1610	2.2327
♀	2	12.53	17.54	33.33	64.99	94.22	0.5122	-0.0596	1.9442
♀	3	13.60	18.73	33.81	62.10	87.70	0.4708	-0.0489	1.8634
♀	4	14.67	19.90	34.31	59.84	82.55	0.4343	-0.0383	1.7937
♀	5	15.59	20.90	34.78	58.31	79.05	0.4065	-0.0275	1.7320
♀	6	16.18	21.59	35.17	57.52	77.22	0.3897	-0.0166	1.6786
♀	7	16.39	21.92	35.49	57.52	77.07	0.3848	-0.0052	1.6380
♀	8	16.24	21.92	35.76	58.22	78.37	0.3905	0.0071	1.6113
♀	9	15.73	21.57	35.91	59.45	80.83	0.4057	0.0209	1.5994
♀	10	14.90	20.89	35.87	60.95	83.97	0.4285	0.0370	1.6020
♀	11	13.82	19.90	35.60	62.54	87.45	0.4575	0.0557	1.6165
♀	12	12.51	18.65	35.19	64.48	91.78	0.4945	0.0759	1.6390
♀	13	11.16	17.32	34.80	66.94	97.09	0.5373	0.0954	1.6693
♀	14	9.95	16.10	34.52	69.70	102.74	0.5802	0.1127	1.7102
♀	15	8.97	15.06	34.37	72.44	107.94	0.6189	0.1288	1.7623
♀	16	8.26	14.27	34.33	74.79	111.78	0.6492	0.1451	1.8261
♀	17	7.74	13.68	34.41	76.70	114.18	0.6714	0.1627	1.9023
♀	18	7.39	13.27	34.54	78.05	115.10	0.6859	0.1810	1.9910

HGB

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	2	10.51	10.90	11.83	13.50	15.46	0.0798	-4.7233	1.6754
♂	3	10.73	11.14	12.07	13.57	15.12	0.0748	-4.0039	1.6738
♂	4	10.94	11.37	12.28	13.63	14.84	0.0703	-3.2829	1.6768
♂	5	11.14	11.57	12.48	13.69	14.65	0.0658	-2.5598	1.6857
♂	6	11.34	11.79	12.68	13.79	14.60	0.0619	-1.8460	1.6968
♂	7	11.52	11.98	12.88	13.93	14.64	0.0596	-1.1581	1.7020
♂	8	11.62	12.11	13.03	14.05	14.72	0.0590	-0.5108	1.6966
♂	9	11.67	12.20	13.15	14.16	14.79	0.0592	0.0853	1.6850
♂	10	11.67	12.24	13.23	14.25	14.87	0.0603	0.6298	1.6713
♂	11	11.65	12.28	13.33	14.36	14.98	0.0622	1.1258	1.6576
♂	12	11.69	12.39	13.51	14.58	15.20	0.0644	1.5723	1.6453
♂	13	11.84	12.62	13.81	14.91	15.54	0.0659	1.9667	1.6348
♂	14	12.12	12.97	14.23	15.36	15.99	0.0666	2.3181	1.6246
♂	15	12.41	13.34	14.66	15.81	16.46	0.0670	2.6470	1.6118
♂	16	12.60	13.60	14.98	16.14	16.78	0.0670	2.9701	1.5965
♂	17	12.67	13.74	15.15	16.31	16.94	0.0669	3.2971	1.5814
♂	18	12.69	13.83	15.27	16.42	17.04	0.0667	3.6272	1.5685
♀	2	10.73	11.13	12.02	13.32	14.47	0.0691	-3.3622	1.7089
♀	3	10.89	11.30	12.19	13.42	14.40	0.0666	-2.8078	1.7423
♀	4	11.05	11.47	12.36	13.52	14.36	0.0640	-2.2533	1.7782
♀	5	11.22	11.65	12.53	13.61	14.34	0.0609	-1.6988	1.8159
♀	6	11.38	11.81	12.68	13.69	14.34	0.0580	-1.1442	1.8529
♀	7	11.51	11.95	12.82	13.80	14.38	0.0563	-0.5898	1.8861
♀	8	11.61	12.07	12.96	13.92	14.48	0.0561	-0.0355	1.9154
♀	9	11.66	12.15	13.09	14.07	14.60	0.0572	0.5186	1.9450
♀	10	11.68	12.21	13.21	14.20	14.73	0.0588	1.0725	1.9784
♀	11	11.67	12.25	13.30	14.30	14.81	0.0601	1.6260	2.0168
♀	12	11.64	12.26	13.36	14.37	14.86	0.0611	2.1790	2.0598
♀	13	11.56	12.23	13.39	14.39	14.86	0.0621	2.7313	2.1067
♀	14	11.48	12.20	13.39	14.39	14.83	0.0624	3.2829	2.1572
♀	15	11.39	12.16	13.39	14.36	14.78	0.0621	3.8338	2.2121
♀	16	11.30	12.12	13.38	14.33	14.72	0.0619	4.3842	2.2714
♀	17	11.15	12.06	13.37	14.31	14.69	0.0624	4.9344	2.3359
♀	18	10.94	11.97	13.37	14.32	14.68	0.0640	5.4846	2.4066

RETI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	2	5.18	5.92	9.18	13.38	14.71	0.2984	0.3699	6.7605
♂	3	4.57	6.15	9.17	13.02	16.05	0.3028	0.3479	1.4494
♂	4	4.45	6.21	9.16	12.95	16.45	0.3084	0.3243	1.1836
♂	5	4.39	6.16	9.16	13.06	16.76	0.3165	0.2946	1.1723
♂	6	4.36	6.09	9.15	13.23	17.04	0.3239	0.2571	1.2202
♂	7	4.38	6.05	9.14	13.35	17.22	0.3279	0.2169	1.2793
♂	8	4.43	6.02	9.13	13.44	17.29	0.3290	0.1801	1.3535
♂	9	4.49	5.99	9.12	13.53	17.29	0.3297	0.1521	1.4660
♂	10	4.52	5.94	9.11	13.65	17.29	0.3324	0.1339	1.6182
♂	11	4.55	5.90	9.10	13.73	17.25	0.3339	0.1211	1.7629
♂	12	4.63	5.92	9.09	13.69	17.03	0.3288	0.1075	1.8827
♂	13	4.78	6.01	9.08	13.51	16.64	0.3169	0.0931	1.9461
♂	14	4.89	6.09	9.07	13.33	16.34	0.3063	0.0807	1.9425
♂	15	4.95	6.13	9.06	13.25	16.18	0.3010	0.0705	1.9608
♂	16	5.02	6.16	9.05	13.18	15.99	0.2960	0.0627	2.0338
♂	17	5.12	6.20	9.05	13.08	15.69	0.2889	0.0577	2.1816
♂	18	5.31	6.23	9.04	13.02	15.14	0.2799	0.0562	2.9051
♀	2	5.24	6.65	10.09	15.24	19.19	0.3269	0.0309	1.8061
♀	3	5.21	6.63	10.07	15.22	19.17	0.3278	0.0349	1.8045
♀	4	5.18	6.60	10.05	15.20	19.16	0.3290	0.0390	1.8036
♀	5	5.15	6.57	10.03	15.19	19.16	0.3305	0.0431	1.8036
♀	6	5.11	6.53	10.01	15.20	19.19	0.3329	0.0473	1.8045
♀	7	5.06	6.49	9.99	15.23	19.26	0.3363	0.0517	1.8062
♀	8	5.03	6.46	9.97	15.22	19.26	0.3381	0.0563	1.8077
♀	9	5.03	6.46	9.95	15.14	19.12	0.3359	0.0609	1.8077
♀	10	5.07	6.49	9.92	15.01	18.88	0.3307	0.0653	1.8061
♀	11	5.12	6.52	9.90	14.87	18.62	0.3248	0.0692	1.8035
♀	12	5.15	6.54	9.88	14.75	18.42	0.3206	0.0726	1.8003
♀	13	5.14	6.53	9.86	14.71	18.37	0.3203	0.0758	1.7972
♀	14	5.07	6.47	9.85	14.77	18.50	0.3253	0.0789	1.7951
♀	15	4.95	6.38	9.83	14.91	18.79	0.3349	0.0821	1.7946
♀	16	4.86	6.30	9.81	15.02	19.01	0.3427	0.0853	1.7959
♀	17	4.85	6.29	9.79	14.98	18.95	0.3425	0.0887	1.7991
♀	18	4.89	6.32	9.77	14.86	18.71	0.3372	0.0920	1.8039

TFR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	2	2.13	2.37	2.76	3.19	3.50	0.1218	0.3408	1.4221
♂	3	2.14	2.37	2.76	3.19	3.48	0.1194	0.3912	1.4971
♂	4	2.15	2.37	2.76	3.18	3.46	0.1171	0.4414	1.5980
♂	5	2.16	2.38	2.76	3.18	3.43	0.1149	0.4913	1.7225
♂	6	2.18	2.38	2.76	3.17	3.41	0.1124	0.5405	1.8427
♂	7	2.19	2.39	2.76	3.16	3.39	0.1098	0.5891	1.9239
♂	8	2.20	2.40	2.77	3.16	3.37	0.1076	0.6369	1.9464
♂	9	2.21	2.41	2.77	3.16	3.37	0.1065	0.6844	1.9030
♂	10	2.21	2.41	2.79	3.17	3.40	0.1074	0.7318	1.8129
♂	11	2.19	2.42	2.80	3.20	3.44	0.1115	0.7805	1.7061
♂	12	2.17	2.41	2.82	3.25	3.51	0.1181	0.8310	1.6100
♂	13	2.13	2.40	2.84	3.29	3.57	0.1252	0.8836	1.5601
♂	14	2.12	2.40	2.86	3.32	3.61	0.1292	0.9391	1.5849
♂	15	2.13	2.40	2.86	3.32	3.60	0.1284	0.9977	1.7253
♂	16	2.17	2.41	2.86	3.31	3.55	0.1234	1.0578	2.0491
♂	17	2.23	2.42	2.86	3.29	3.47	0.1156	1.1177	2.7003
♂	18	2.29	2.44	2.85	3.25	3.39	0.1069	1.1772	4.1054
♀	2	2.16	2.34	2.68	3.03	3.23	0.1020	0.6948	1.9335
♀	3	2.16	2.35	2.69	3.04	3.23	0.1013	0.8746	1.9278
♀	4	2.16	2.35	2.70	3.05	3.24	0.1008	1.0509	1.9379
♀	5	2.17	2.36	2.71	3.06	3.24	0.1006	1.2052	1.9580
♀	6	2.17	2.36	2.73	3.07	3.25	0.1013	1.3169	1.9824
♀	7	2.17	2.37	2.74	3.09	3.27	0.1027	1.3677	2.0084
♀	8	2.17	2.38	2.76	3.12	3.30	0.1048	1.3308	2.0345
♀	9	2.17	2.38	2.77	3.16	3.35	0.1084	1.1852	2.0598
♀	10	2.19	2.39	2.80	3.20	3.41	0.1127	0.9296	2.0834
♀	11	2.21	2.41	2.82	3.26	3.49	0.1168	0.6057	2.1039
♀	12	2.23	2.43	2.85	3.32	3.57	0.1207	0.2983	2.1202
♀	13	2.26	2.45	2.88	3.37	3.66	0.1242	0.0537	2.1321
♀	14	2.27	2.46	2.90	3.44	3.75	0.1288	-0.1345	2.1406
♀	15	2.27	2.47	2.93	3.51	3.86	0.1363	-0.2833	2.1480
♀	16	2.26	2.46	2.96	3.60	4.00	0.1467	-0.3797	2.1564
♀	17	2.24	2.45	2.98	3.69	4.13	0.1572	-0.4084	2.1676
♀	18	2.22	2.45	3.01	3.76	4.24	0.1661	-0.4072	2.1839

japan_lab.ref

Citations

• Isojima, T., Shimatsu, A., Yokoya, S., Chihara, K., Tanaka, T., Hizuka, N., Teramoto, A., Tatsumi, K., Tachibana, K., Katsumata, N., Horikawa, R., 2012. Standardized centile curves and reference intervals of serum insulin-like growth factor-I (IGF-I) levels in a normal Japanese population using the LMS method. Endocrine Journal 59, 771–780. doi:10.1507/endocrj.EJ12-0110

IGF1

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	0	12.69	27.86	67.08	116.89	146.87	0.658	0.524
♂	1	15.06	30.42	69.04	117.75	147.06	0.647	0.498
♂	2	18.75	34.76	74.02	123.13	152.65	0.635	0.469
♂	3	24.67	41.61	82.00	131.96	161.89	0.622	0.432
♂	4	33.30	51.27	93.00	143.90	174.26	0.607	0.390
♂	5	44.94	64.24	108.00	160.60	191.80	0.592	0.349
♂	6	56.23	77.14	124.00	179.92	213.01	0.577	0.324
♂	7	64.56	88.36	142.00	206.47	244.80	0.561	0.325
♂	8	73.20	101.18	165.00	242.67	289.23	0.545	0.335
♂	9	85.29	118.47	195.00	289.26	346.20	0.527	0.342
♂	10	100.81	140.50	233.00	348.26	418.43	0.509	0.348
♂	11	116.01	162.49	272.00	410.05	494.74	0.493	0.355
♂	12	127.50	178.95	301.00	456.11	551.78	0.481	0.359
♂	13	136.26	189.34	315.00	474.62	573.13	0.473	0.353
♂	14	140.92	192.88	315.00	469.30	564.30	0.468	0.342
♂	15	143.22	193.27	310.00	456.56	546.51	0.465	0.331
♂	16	143.88	192.95	307.00	449.76	537.23	0.464	0.326
♂	17	144.21	192.93	306.00	447.33	533.86	0.464	0.324
♂	18	144.72	191.94	301.00	436.78	519.74	0.462	0.317
♂	19	144.71	189.46	292.00	418.73	495.85	0.461	0.306
♂	20	143.80	185.44	280.00	395.95	466.20	0.458	0.293
♂	21	140.91	179.09	265.00	369.47	432.47	0.456	0.280
♂	22	137.39	172.53	251.00	345.76	402.68	0.454	0.269
♂	23	132.80	165.16	237.00	323.25	374.90	0.452	0.260
♂	24	129.30	159.43	226.00	305.55	353.06	0.449	0.252
♂	25	125.81	154.00	216.00	289.77	333.72	0.447	0.245
♂	26	120.19	149.39	212.00	284.02	325.84	0.561	0.248
♂	27	118.02	146.62	208.00	278.72	319.83	0.556	0.248
♂	28	115.00	142.92	203.00	272.38	312.78	0.550	0.249
♂	29	112.86	140.16	199.00	267.08	306.78	0.544	0.249
♂	30	110.73	137.41	195.00	261.79	300.80	0.537	0.249
♂	31	108.32	134.45	191.00	256.78	295.29	0.529	0.250
♂	32	106.22	131.71	187.00	251.50	289.34	0.520	0.250
♂	33	104.68	129.68	184.00	247.56	284.92	0.511	0.250
♂	34	102.91	127.46	181.00	243.90	280.99	0.500	0.251
♂	35	101.41	125.45	178.00	239.98	276.64	0.488	0.251
♂	36	99.91	123.43	175.00	236.06	272.27	0.476	0.251
♂	37	98.76	121.94	173.00	233.76	269.93	0.462	0.252
♂	38	97.85	120.64	171.00	231.20	267.16	0.448	0.252
♂	39	96.39	118.65	168.00	227.30	262.87	0.432	0.252
♂	40	95.48	117.34	166.00	224.75	260.11	0.417	0.252
♂	41	94.92	116.58	165.00	223.80	259.36	0.401	0.253
♂	42	94.03	115.29	163.00	221.26	256.64	0.384	0.253
♂	43	93.12	113.99	161.00	218.70	253.88	0.368	0.253
♂	44	92.78	113.40	160.00	217.50	252.71	0.352	0.253
♂	45	92.42	112.79	159.00	216.29	251.50	0.337	0.253
♂	46	91.23	111.30	157.00	213.94	249.08	0.324	0.254
♂	47	90.83	110.68	156.00	212.71	247.82	0.311	0.254
♂	48	89.82	109.34	154.00	210.09	244.92	0.300	0.254
♂	49	89.15	108.53	153.00	209.06	243.97	0.291	0.255
♂	50	88.68	107.87	152.00	207.77	242.58	0.283	0.255
♂	51	87.99	107.06	151.00	206.72	241.58	0.276	0.256
♂	52	86.68	105.52	149.00	204.26	238.89	0.272	0.257
♂	53	85.94	104.68	148.00	203.15	237.77	0.269	0.258
♂	54	85.19	103.84	147.00	202.04	236.63	0.267	0.259
♂	55	84.41	102.98	146.00	200.89	235.40	0.268	0.260
♂	56	83.62	102.12	145.00	199.73	234.14	0.270	0.261
♂	57	82.61	101.11	144.00	198.78	233.22	0.274	0.263
♂	58	81.75	100.22	143.00	197.56	231.82	0.281	0.264
♂	59	80.70	99.18	142.00	196.56	230.78	0.289	0.266
♂	60	79.61	98.13	141.00	195.52	229.65	0.300	0.268
♂	61	78.51	97.07	140.00	194.46	228.48	0.312	0.270
♂	62	76.82	95.31	138.00	191.97	225.58	0.327	0.272
♂	63	75.66	94.23	137.00	190.85	224.25	0.344	0.274
♂	64	73.92	92.45	135.00	188.30	221.22	0.363	0.276
♂	65	72.73	91.36	134.00	187.13	219.80	0.383	0.278
♂	66	70.96	89.57	132.00	184.54	216.67	0.405	0.280
♂	67	69.19	87.79	130.00	181.92	213.50	0.428	0.282
♂	68	67.40	86.00	128.00	179.28	210.28	0.453	0.284
♂	69	65.42	84.07	126.00	176.81	207.34	0.479	0.287
♂	70	63.61	82.28	124.00	174.12	204.04	0.506	0.289
♂	71	61.81	80.50	122.00	171.43	200.74	0.533	0.291
♂	72	59.31	77.92	119.00	167.48	196.04	0.562	0.294
♂	73	57.50	76.15	117.00	164.75	192.67	0.591	0.296
♂	74	55.03	73.60	114.00	160.77	187.93	0.620	0.299
♂	75	53.22	71.84	112.00	158.02	184.54	0.650	0.301
♂	76	50.94	69.44	109.00	153.84	179.50	0.680	0.303
♂	77	48.52	66.94	106.00	149.81	174.70	0.710	0.306
♀	0	15.95	30.57	69.01	120.38	152.50	0.563	0.510
♀	1	24.08	40.88	85.00	145.52	184.26	0.490	0.480
♀	2	32.82	51.08	99.00	166.12	210.00	0.419	0.451
♀	3	40.68	59.30	108.00	177.23	223.31	0.350	0.422
♀	4	48.41	67.17	116.00	186.17	233.60	0.283	0.395
♀	5	56.92	76.15	126.00	198.27	247.77	0.220	0.372
♀	6	70.26	91.64	147.00	228.01	284.21	0.162	0.355
♀	7	90.47	116.16	183.00	282.17	352.04	0.109	0.346
♀	8	112.88	143.59	224.00	345.09	431.71	0.065	0.342
♀	9	135.00	170.52	264.00	406.58	509.93	0.028	0.339
♀	10	157.24	197.09	302.00	462.75	580.04	0.000	0.333
♀	11	177.51	220.50	333.00	504.62	629.71	-0.020	0.323
♀	12	189.85	233.86	348.00	520.33	645.09	-0.030	0.312
♀	13	194.80	238.00	349.00	514.82	634.03	-0.040	0.301
♀	14	194.91	236.84	344.00	503.21	617.29	-0.050	0.294
♀	15	194.69	235.96	341.00	496.22	606.99	-0.050	0.290
♀	16	194.49	235.56	340.00	494.12	603.99	-0.050	0.289
♀	17	192.73	232.97	335.00	484.95	591.51	-0.050	0.286
♀	18	190.07	228.72	326.00	467.63	567.56	-0.050	0.279
♀	19	184.37	220.54	311.00	441.76	533.57	-0.060	0.271
♀	20	177.03	210.40	293.00	410.78	492.62	-0.060	0.261
♀	21	169.02	199.72	275.00	381.04	454.02	-0.060	0.252
♀	22	161.94	190.24	259.00	354.67	419.91	-0.060	0.243
♀	23	156.81	183.26	247.00	334.72	394.04	-0.060	0.235
♀	24	152.34	177.32	237.00	318.11	372.41	-0.050	0.228
♀	25	148.25	171.89	228.00	303.66	353.99	-0.050	0.222
♀	26	147.06	170.12	223.00	290.69	333.75	0.078	0.209
♀	27	142.55	165.19	217.00	283.02	324.84	0.099	0.210
♀	28	138.71	161.05	212.00	276.64	317.41	0.120	0.211
♀	29	134.26	156.16	206.00	268.95	308.51	0.140	0.212
♀	30	130.51	152.06	201.00	262.58	301.14	0.158	0.213
♀	31	126.77	147.97	196.00	256.20	293.77	0.176	0.214
♀	32	123.73	144.66	192.00	251.13	287.93	0.192	0.215
♀	33	119.82	140.43	187.00	245.07	281.13	0.206	0.217
♀	34	116.85	137.17	183.00	240.00	275.32	0.219	0.218
♀	35	113.02	132.99	178.00	233.91	268.49	0.231	0.220
♀	36	110.12	129.76	174.00	228.84	262.71	0.241	0.221
♀	37	107.01	126.38	170.00	224.04	257.39	0.250	0.223
♀	38	103.95	123.03	166.00	219.24	252.08	0.257	0.225
♀	39	101.55	120.43	163.00	215.74	248.27	0.263	0.227
♀	40	98.56	117.13	159.00	210.91	242.92	0.268	0.229
♀	41	96.24	114.58	156.00	207.39	239.11	0.271	0.231
♀	42	93.94	112.05	153.00	203.87	235.29	0.273	0.233
♀	43	91.69	109.55	150.00	200.35	231.48	0.273	0.235
♀	44	89.46	107.06	147.00	196.82	227.66	0.272	0.237
♀	45	87.89	105.33	145.00	194.62	225.41	0.269	0.239
♀	46	85.72	102.88	142.00	191.07	221.58	0.266	0.241
♀	47	84.19	101.17	140.00	188.87	219.33	0.261	0.243
♀	48	82.87	99.62	138.00	186.44	216.70	0.255	0.244
♀	49	81.97	98.66	137.00	185.58	216.01	0.249	0.246
♀	50	80.50	96.99	135.00	183.37	213.77	0.241	0.248
♀	51	79.64	96.05	134.00	182.52	213.11	0.233	0.250
♀	52	78.96	95.24	133.00	181.44	212.07	0.225	0.251
♀	53	77.53	93.60	131.00	179.21	209.82	0.216	0.253
♀	54	76.86	92.80	130.00	178.13	208.77	0.208	0.254
♀	55	76.03	91.88	129.00	177.25	208.09	0.200	0.256
♀	56	75.35	91.08	128.00	176.15	207.00	0.193	0.257
♀	57	73.93	89.45	126.00	173.88	204.66	0.186	0.259
♀	58	73.25	88.65	125.00	172.76	203.54	0.180	0.260
♀	59	71.81	87.02	123.00	170.44	201.10	0.176	0.262
♀	60	70.53	85.51	121.00	167.91	198.28	0.172	0.263
♀	61	69.82	84.69	120.00	166.74	197.04	0.170	0.264
♀	62	68.38	83.07	118.00	164.38	194.50	0.168	0.266
♀	63	67.09	81.55	116.00	161.80	191.58	0.167	0.267
♀	64	65.64	79.92	114.00	159.38	188.93	0.168	0.269
♀	65	64.34	78.41	112.00	156.77	185.93	0.169	0.270
♀	66	62.91	76.80	110.00	154.33	183.24	0.170	0.272
♀	67	62.17	75.98	109.00	153.09	181.83	0.173	0.273
♀	68	60.73	74.36	107.00	150.61	179.04	0.177	0.275
♀	69	59.42	72.85	105.00	147.94	175.92	0.181	0.276
♀	70	58.00	71.25	103.00	145.44	173.10	0.185	0.278
♀	71	56.71	69.75	101.00	142.75	169.95	0.189	0.279
♀	72	55.85	68.84	100.00	141.64	168.75	0.194	0.281
♀	73	54.57	67.35	98.00	138.93	165.56	0.199	0.282
♀	74	53.18	65.78	96.00	136.39	162.67	0.203	0.284
♀	75	52.35	64.89	95.00	135.25	161.43	0.208	0.286
♀	76	51.09	63.41	93.00	132.52	158.22	0.212	0.287
♀	77	50.27	62.53	92.00	131.37	156.96	0.217	0.289

liao_igf1.ref

Citations

• 1. Liao ZH, Yin QQ, Wan JX, He W, Ji W, Zhang LY, et al. Serum Insulin-like growth factor-1 levels of healthy adults in southern China. Endocr J. 2016 Dec 30;63(12):1081–6.

IGF1

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	20	280.69	284.87	290.00	292.77	293.73	94	316
♂	21	270.25	273.35	277.14	279.17	279.88	122	313
♂	22	260.33	262.76	265.72	267.30	267.85	150	309
♂	23	252.33	254.31	256.72	258.01	258.46	178	306
♂	24	244.84	246.50	248.52	249.59	249.97	206	302
♂	25	237.72	239.14	240.87	241.79	242.11	233	299
♂	26	230.79	232.02	233.52	234.32	234.59	261	296
♂	27	224.03	225.11	226.42	227.12	227.36	289	292
♂	28	217.38	218.33	219.49	220.10	220.32	318	289
♂	29	210.84	211.69	212.72	213.27	213.46	346	287
♂	30	205.41	206.17	207.10	207.59	207.76	374	284
♂	31	200.03	200.72	201.56	202.01	202.16	402	281
♂	32	194.70	195.33	196.10	196.51	196.65	429	279
♂	33	189.42	190.00	190.70	191.07	191.20	455	277
♂	34	185.19	185.72	186.37	186.72	186.84	480	276
♂	35	181.99	182.49	183.10	183.43	183.54	505	274
♂	36	177.81	178.28	178.85	179.15	179.26	528	274
♂	37	174.66	175.10	175.64	175.92	176.02	551	273
♂	38	171.52	171.94	172.45	172.71	172.81	573	273
♂	39	168.40	168.80	169.28	169.53	169.62	594	274
♂	40	165.29	165.67	166.12	166.36	166.44	614	274
♂	41	163.20	163.56	164.00	164.23	164.31	633	275
♂	42	161.13	161.47	161.89	162.11	162.19	650	277
♂	43	159.06	159.39	159.79	160.01	160.08	666	279
♂	44	156.99	157.31	157.70	157.91	157.98	681	281
♂	45	155.95	156.26	156.64	156.84	156.91	694	283
♂	46	154.91	155.22	155.59	155.78	155.85	705	286
♂	47	153.88	154.18	154.54	154.73	154.80	715	288
♂	48	152.85	153.14	153.50	153.69	153.76	722	291
♂	49	151.83	152.12	152.47	152.65	152.72	728	294
♂	50	151.82	152.11	152.46	152.65	152.71	731	297
♂	51	151.82	152.11	152.46	152.65	152.71	731	299
♂	52	151.83	152.12	152.47	152.66	152.72	729	302
♂	53	151.84	152.13	152.49	152.67	152.74	725	305
♂	54	151.86	152.15	152.51	152.70	152.76	718	308
♂	55	151.88	152.18	152.54	152.73	152.80	710	310
♂	56	151.91	152.21	152.58	152.77	152.84	699	313
♂	57	150.93	151.23	151.60	151.80	151.87	687	315
♂	58	150.96	151.27	151.65	151.85	151.92	673	317
♂	59	151.01	151.33	151.71	151.92	151.99	657	320
♂	60	150.04	150.37	150.76	150.97	151.05	640	322
♂	61	150.10	150.43	150.84	151.06	151.13	622	324
♂	62	149.14	149.49	149.90	150.13	150.20	603	326
♂	63	149.21	149.57	150.00	150.23	150.31	583	329
♂	64	148.27	148.64	149.09	149.32	149.41	561	331
♂	65	147.34	147.72	148.18	148.43	148.51	539	333
♂	66	146.42	146.82	147.30	147.55	147.64	515	335
♂	67	145.52	145.93	146.43	146.70	146.79	490	338
♂	68	144.63	145.06	145.59	145.87	145.96	464	340
♂	69	143.75	144.21	144.77	145.06	145.17	437	342
♂	70	142.90	143.38	143.97	144.28	144.39	410	345
♂	71	141.04	141.56	142.18	142.51	142.63	382	347
♂	72	139.21	139.76	140.42	140.78	140.90	354	349
♂	73	138.44	139.04	139.76	140.14	140.27	325	352
♂	74	136.69	137.33	138.11	138.53	138.67	296	354
♂	75	134.99	135.69	136.55	137.00	137.16	267	357
♂	76	133.35	134.13	135.08	135.59	135.76	238	359
♀	20	269.81	271.44	273.43	274.50	274.86	230	287
♀	21	265.64	267.24	269.19	270.23	270.60	231	287
♀	22	261.48	263.05	264.96	265.98	266.34	232	288
♀	23	257.32	258.85	260.73	261.73	262.08	233	289
♀	24	253.18	254.70	256.54	257.52	257.87	233	289
♀	25	249.05	250.54	252.35	253.32	253.66	233	290
♀	26	244.92	246.38	248.17	249.12	249.45	233	290
♀	27	240.79	242.23	243.98	244.92	245.24	233	291
♀	28	237.69	239.11	240.84	241.76	242.08	233	291
♀	29	233.59	234.99	236.70	237.61	237.93	232	292
♀	30	229.48	230.87	232.55	233.45	233.77	231	293
♀	31	225.35	226.71	228.36	229.25	229.55	231	293
♀	32	221.25	222.59	224.22	225.09	225.39	230	294
♀	33	217.11	218.43	220.03	220.88	221.18	230	294
♀	34	212.98	214.27	215.84	216.68	216.97	230	295
♀	35	207.78	209.04	210.56	211.38	211.66	231	295
♀	36	203.63	204.85	206.34	207.13	207.41	232	296
♀	37	199.47	200.66	202.11	202.89	203.16	233	296
♀	38	194.25	195.40	196.80	197.55	197.81	235	296
♀	39	189.04	190.15	191.50	192.23	192.48	237	296
♀	40	184.82	185.89	187.19	187.88	188.12	241	295
♀	41	180.61	181.63	182.88	183.55	183.78	245	295
♀	42	175.35	176.32	177.51	178.15	178.37	250	294
♀	43	171.09	172.02	173.15	173.75	173.96	257	293
♀	44	166.85	167.73	168.80	169.37	169.57	264	292
♀	45	163.63	164.47	165.49	166.03	166.22	272	290
♀	46	159.40	160.19	161.16	161.67	161.85	280	289
♀	47	156.19	156.94	157.86	158.35	158.52	289	287
♀	48	154.01	154.73	155.60	156.06	156.23	299	285
♀	49	150.80	151.48	152.30	152.74	152.90	310	283
♀	50	148.63	149.28	150.06	150.48	150.62	321	281
♀	51	146.46	147.07	147.81	148.20	148.34	334	279
♀	52	144.28	144.86	145.56	145.93	146.06	348	276
♀	53	142.11	142.66	143.32	143.67	143.80	363	274
♀	54	140.97	141.49	142.12	142.45	142.57	379	272
♀	55	138.81	139.30	139.89	140.20	140.31	397	269
♀	56	137.68	138.14	138.70	139.00	139.10	415	267
♀	57	135.53	135.97	136.50	136.78	136.87	434	265
♀	58	134.41	134.82	135.32	135.58	135.68	455	263
♀	59	132.28	132.66	133.13	133.38	133.47	476	261
♀	60	131.17	131.53	131.98	132.22	132.30	498	258
♀	61	129.05	129.39	129.81	130.03	130.11	522	256
♀	62	126.93	127.26	127.65	127.86	127.93	546	255
♀	63	125.84	126.15	126.52	126.72	126.79	571	253
♀	64	123.74	124.03	124.37	124.56	124.62	598	251
♀	65	121.64	121.91	122.24	122.41	122.48	625	249
♀	66	120.57	120.82	121.13	121.30	121.36	653	248
♀	67	118.48	118.72	119.01	119.17	119.22	682	246
♀	68	116.40	116.63	116.90	117.05	117.10	712	245
♀	69	114.32	114.54	114.80	114.93	114.98	743	243
♀	70	112.25	112.45	112.70	112.83	112.87	774	242
♀	71	110.18	110.37	110.60	110.73	110.77	807	241
♀	72	108.12	108.30	108.52	108.63	108.67	839	240
♀	73	107.07	107.24	107.45	107.56	107.60	873	238
♀	74	105.02	105.18	105.37	105.48	105.51	906	237
♀	75	102.96	103.12	103.30	103.40	103.43	940	236
♀	76	101.92	102.07	102.25	102.34	102.37	974	235
♀	77	99.88	100.02	100.18	100.27	100.30	1009	234
♀	78	98.84	98.98	99.13	99.22	99.25	1043	233
♀	79	97.81	97.94	98.09	98.17	98.20	1077	232
♀	80	96.78	96.90	97.05	97.13	97.15	1111	231
♀	81	95.75	95.87	96.01	96.08	96.11	1146	230
♀	82	94.72	94.83	94.97	95.04	95.07	1180	229
♀	83	92.69	92.80	92.92	92.99	93.02	1215	228
♀	84	91.66	91.77	91.89	91.96	91.98	1249	227

life_cysc.ref

Citations

• Ziegelasch N, Vogel M, Müller E, et al. Cystatin C Serum Levels in Healthy Children Are Related to Age, Gender, and Pubertal Stage. Pediatr Nephrol 2019; 34: 449–57.

CYSC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.3859229	0.80	0.88	1.06	1.24	1.33	0.1305	0.7290	2.1183
♂	0.4692562	0.79	0.87	1.04	1.22	1.32	0.1302	0.7285	2.1146
♂	0.5525896	0.78	0.86	1.03	1.21	1.30	0.1298	0.7279	2.1109
♂	0.6359229	0.77	0.85	1.02	1.19	1.29	0.1295	0.7274	2.1072
♂	0.7192562	0.76	0.85	1.01	1.18	1.27	0.1292	0.7269	2.1036
♂	0.8025896	0.76	0.84	1.00	1.17	1.26	0.1289	0.7263	2.0999
♂	0.8859229	0.75	0.83	0.99	1.15	1.24	0.1286	0.7258	2.0963
♂	0.9692562	0.74	0.82	0.98	1.14	1.23	0.1283	0.7253	2.0928
♀	0.3859229	0.80	0.88	1.04	1.21	1.30	0.1226	0.5911	1.9681
♀	0.4692562	0.79	0.87	1.03	1.20	1.29	0.1224	0.5931	1.9671
♀	0.5525896	0.79	0.86	1.02	1.18	1.27	0.1222	0.5952	1.9662
♀	0.6359229	0.78	0.85	1.01	1.17	1.26	0.1221	0.5972	1.9652
♀	0.7192562	0.77	0.85	1.00	1.16	1.25	0.1219	0.5993	1.9643
♀	0.8025896	0.76	0.84	0.99	1.14	1.23	0.1218	0.6013	1.9633
♀	0.8859229	0.75	0.83	0.98	1.13	1.22	0.1216	0.6034	1.9624
♀	0.9692562	0.75	0.82	0.97	1.12	1.21	0.1215	0.6054	1.9615

life_heart.ref

Citations

• Kiess A, Green J, Willenberg A, et al. Age-dependent reference values for hs-Troponin T and NT-proBNP and determining factors in a cohort of healthy children (The LIFE child study). Pediatric Cardiology 2022. Accepted

TNT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.2500000	4.13	8.45	16.22	24.98	31.66	0.3588	0.8250	5.5093
♂	0.3333333	3.55	7.22	13.77	21.15	26.81	0.3550	0.8250	5.4054
♂	0.4166667	3.07	6.21	11.77	18.02	22.85	0.3514	0.8250	5.3042
♂	0.5000000	2.67	5.37	10.12	15.46	19.61	0.3478	0.8250	5.2056
♂	0.5833333	2.34	4.69	8.78	13.38	16.97	0.3443	0.8250	5.1096
♂	0.6666667	2.07	4.13	7.68	11.68	14.82	0.3409	0.8250	5.0161
♂	0.7500000	1.85	3.67	6.79	10.30	13.07	0.3375	0.8250	4.9249
♂	0.8333333	1.67	3.30	6.07	9.19	11.66	0.3342	0.8250	4.8361
♂	0.9166667	1.53	3.00	5.50	8.29	10.53	0.3310	0.8250	4.7496
♂	1.0000000	1.41	2.77	5.04	7.58	9.64	0.3279	0.8250	4.6653
♂	2.0000000	1.06	2.00	3.45	5.07	6.50	0.2947	0.8250	3.8043
♂	3.0000000	1.02	1.89	3.15	4.56	5.93	0.2689	0.8250	3.1656
♂	4.0000000	0.96	1.80	2.93	4.19	5.56	0.2493	0.8250	2.6880
♂	5.0000000	0.99	1.87	2.99	4.27	5.80	0.2346	0.8250	2.3291
♂	6.0000000	1.02	1.96	3.12	4.46	6.24	0.2242	0.8250	2.0594
♂	7.0000000	0.94	1.87	2.96	4.25	6.16	0.2176	0.8250	1.8581
♂	8.0000000	0.85	1.73	2.75	3.98	5.98	0.2144	0.8250	1.7108
♂	9.0000000	0.84	1.75	2.81	4.12	6.41	0.2146	0.8250	1.6073
♂	10.0000000	0.79	1.69	2.74	4.08	6.54	0.2180	0.8250	1.5410
♂	11.0000000	0.82	1.82	3.01	4.54	7.45	0.2250	0.8250	1.5076
♂	12.0000000	0.78	1.77	3.00	4.60	7.67	0.2358	0.8250	1.5050
♂	13.0000000	0.77	1.79	3.12	4.88	8.18	0.2509	0.8250	1.5332
♂	14.0000000	0.75	1.80	3.25	5.19	8.66	0.2711	0.8250	1.5939
♂	15.0000000	0.78	1.94	3.67	5.98	9.88	0.2975	0.8250	1.6908
♂	16.0000000	0.81	2.11	4.22	7.07	11.48	0.3314	0.8250	1.8303
♂	17.0000000	0.78	2.15	4.64	8.01	12.77	0.3750	0.8250	2.0217
♂	18.0000000	0.86	2.53	5.98	10.71	16.76	0.4309	0.8250	2.2789
♀	0.2500000	6.49	10.45	17.71	27.78	37.72	0.3236	0.3278	4.5397
♀	0.3333333	5.47	8.83	14.91	23.33	31.76	0.3197	0.3278	4.3849
♀	0.4166667	4.64	7.51	12.65	19.74	26.94	0.3159	0.3278	4.2384
♀	0.5000000	3.96	6.45	10.81	16.83	23.04	0.3122	0.3278	4.0997
♀	0.5833333	3.42	5.58	9.33	14.49	19.89	0.3086	0.3278	3.9683
♀	0.6666667	2.98	4.88	8.13	12.61	17.36	0.3050	0.3278	3.8437
♀	0.7500000	2.62	4.31	7.17	11.10	15.33	0.3016	0.3278	3.7257
♀	0.8333333	2.34	3.86	6.40	9.89	13.71	0.2982	0.3278	3.6137
♀	0.9166667	2.11	3.50	5.80	8.93	12.42	0.2949	0.3278	3.5074
♀	1.0000000	1.93	3.23	5.32	8.19	11.43	0.2917	0.3278	3.4065
♀	2.0000000	1.24	2.23	3.59	5.45	8.02	0.2584	0.3278	2.5228
♀	3.0000000	0.95	1.83	2.90	4.36	6.83	0.2332	0.3278	2.0339
♀	4.0000000	0.91	1.86	2.91	4.35	7.18	0.2142	0.3278	1.7666
♀	5.0000000	0.88	1.82	2.81	4.15	7.05	0.2001	0.3278	1.6363
♀	6.0000000	0.84	1.70	2.58	3.76	6.36	0.1899	0.3278	1.5994
♀	7.0000000	0.92	1.78	2.64	3.79	6.20	0.1829	0.3278	1.6330
♀	8.0000000	1.05	1.93	2.81	3.95	6.18	0.1786	0.3278	1.7236
♀	9.0000000	1.12	1.91	2.74	3.80	5.65	0.1766	0.3278	1.8612
♀	10.0000000	1.22	1.98	2.80	3.83	5.47	0.1767	0.3278	2.0352
♀	11.0000000	1.30	2.00	2.81	3.82	5.27	0.1787	0.3278	2.2304
♀	12.0000000	1.32	1.98	2.77	3.76	5.07	0.1826	0.3278	2.4244
♀	13.0000000	1.30	1.93	2.71	3.68	4.91	0.1881	0.3278	2.5871
♀	14.0000000	1.37	2.03	2.88	3.94	5.26	0.1954	0.3278	2.6822
♀	15.0000000	1.36	2.06	2.97	4.13	5.57	0.2043	0.3278	2.6740
♀	16.0000000	1.24	1.98	2.93	4.15	5.77	0.2149	0.3278	2.5371
♀	17.0000000	1.05	1.84	2.84	4.17	6.14	0.2272	0.3278	2.2674
♀	18.0000000	0.76	1.60	2.63	4.05	6.71	0.2410	0.3278	1.8891

PBNP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.2500000	35.88	61.53	139.74	283.71	409.91	0.5716	0.1928	19.0931
♂	0.3333333	35.19	60.41	137.44	279.39	403.91	0.5727	0.1928	19.0931
♂	0.4166667	34.51	59.33	135.21	275.20	398.09	0.5738	0.1928	19.0931
♂	0.5000000	33.86	58.28	133.04	271.13	392.44	0.5749	0.1928	19.0931
♂	0.5833333	33.22	57.26	130.95	267.20	386.98	0.5760	0.1928	19.0931
♂	0.6666667	32.61	56.28	128.92	263.40	381.70	0.5771	0.1928	19.0931
♂	0.7500000	32.02	55.33	126.96	259.74	376.62	0.5782	0.1928	19.0931
♂	0.8333333	31.45	54.41	125.08	256.21	371.73	0.5793	0.1928	19.0931
♂	0.9166667	30.90	53.53	123.27	252.83	367.04	0.5804	0.1928	19.0931
♂	1.0000000	30.37	52.69	121.53	249.59	362.55	0.5815	0.1928	19.0931
♂	2.0000000	25.37	44.71	105.34	219.73	321.51	0.5950	0.1928	19.0931
♂	3.0000000	21.93	39.30	94.61	200.52	295.57	0.6088	0.1928	19.0931
♂	4.0000000	19.39	35.33	86.99	187.37	278.26	0.6230	0.1928	19.0931
♂	5.0000000	17.75	32.93	82.94	181.63	271.79	0.6374	0.1928	19.0931
♂	6.0000000	16.74	31.63	81.56	181.65	273.93	0.6522	0.1928	19.0931
♂	7.0000000	15.39	29.63	78.29	177.40	269.62	0.6674	0.1928	19.0931
♂	8.0000000	13.45	26.42	71.57	165.03	252.82	0.6829	0.1928	19.0931
♂	9.0000000	11.45	22.96	63.79	149.75	231.27	0.6988	0.1928	19.0931
♂	10.0000000	9.92	20.31	57.94	138.51	215.67	0.7150	0.1928	19.0931
♂	11.0000000	8.92	18.68	54.76	133.37	209.39	0.7316	0.1928	19.0931
♂	12.0000000	7.89	16.89	50.90	126.35	200.05	0.7486	0.1928	19.0931
♂	13.0000000	6.44	14.12	43.79	110.83	176.98	0.7660	0.1928	19.0931
♂	14.0000000	4.84	10.89	34.78	89.78	144.61	0.7838	0.1928	19.0931
♂	15.0000000	3.52	8.12	26.73	70.39	114.37	0.8020	0.1928	19.0931
♂	16.0000000	2.59	6.14	20.84	56.02	91.84	0.8206	0.1928	19.0931
♂	17.0000000	1.96	4.78	16.77	46.04	76.16	0.8397	0.1928	19.0931
♂	18.0000000	1.53	3.83	13.89	38.95	65.02	0.8592	0.1928	19.0931
♀	0.2500000	42.73	70.45	157.76	320.42	458.76	0.5764	0.1707	34.4873
♀	0.3333333	41.68	68.77	154.13	313.26	448.64	0.5770	0.1707	34.4873
♀	0.4166667	40.68	67.15	150.63	306.33	438.86	0.5776	0.1707	34.4873
♀	0.5000000	39.71	65.58	147.24	299.64	429.40	0.5781	0.1707	34.4873
♀	0.5833333	38.77	64.07	143.97	293.19	420.28	0.5787	0.1707	34.4873
♀	0.6666667	37.87	62.62	140.83	286.97	411.49	0.5793	0.1707	34.4873
♀	0.7500000	37.00	61.22	137.80	280.98	403.03	0.5799	0.1707	34.4873
♀	0.8333333	36.17	59.88	134.89	275.24	394.91	0.5804	0.1707	34.4873
♀	0.9166667	35.37	58.59	132.11	269.73	387.13	0.5810	0.1707	34.4873
♀	1.0000000	34.60	57.36	129.44	264.46	379.68	0.5816	0.1707	34.4873
♀	2.0000000	27.71	46.27	105.51	217.29	313.10	0.5885	0.1707	34.4873
♀	3.0000000	24.00	40.37	93.01	193.10	279.28	0.5954	0.1707	34.4873
♀	4.0000000	22.18	37.58	87.52	183.18	265.92	0.6025	0.1707	34.4873
♀	5.0000000	21.19	36.19	85.19	179.77	261.96	0.6096	0.1707	34.4873
♀	6.0000000	20.40	35.10	83.55	177.79	260.06	0.6169	0.1707	34.4873
♀	7.0000000	19.48	33.79	81.31	174.48	256.20	0.6242	0.1707	34.4873
♀	8.0000000	18.28	31.96	77.78	168.34	248.14	0.6316	0.1707	34.4873
♀	9.0000000	16.86	29.70	73.12	159.60	236.17	0.6391	0.1707	34.4873
♀	10.0000000	15.09	26.82	66.78	147.03	218.43	0.6466	0.1707	34.4873
♀	11.0000000	13.25	23.73	59.80	132.83	198.11	0.6543	0.1707	34.4873
♀	12.0000000	11.57	20.90	53.30	119.44	178.85	0.6621	0.1707	34.4873
♀	13.0000000	10.21	18.61	48.03	108.60	163.28	0.6699	0.1707	34.4873
♀	14.0000000	9.19	16.89	44.13	100.69	152.00	0.6779	0.1707	34.4873
♀	15.0000000	8.39	15.57	41.17	94.79	143.69	0.6859	0.1707	34.4873
♀	16.0000000	7.77	14.55	38.97	90.56	137.84	0.6940	0.1707	34.4873
♀	17.0000000	7.39	13.97	37.91	88.90	135.88	0.7023	0.1707	34.4873
♀	18.0000000	7.24	13.82	37.96	89.88	137.95	0.7106	0.1707	34.4873

life_igf.ref

Citations

• Hoerenz C, Vogel M, Wirkner K. BMI and contraceptives affect new age-, sex-, and puberty-adjusted IGF-I and IGFBP-3 reference ranges across life span. JCEM 2022 (in (minor) revision).

BP3_INCL_CC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	927.06	1143.36	1631.56	2222.79	2575.00	0.2573	0.4208	2.0358
♂	0.2500000	936.85	1154.80	1646.37	2241.28	2595.57	0.2566	0.4214	2.0355
♂	0.3333333	946.73	1166.33	1661.31	2259.93	2616.30	0.2560	0.4220	2.0352
♂	0.4166667	956.70	1177.97	1676.36	2278.72	2637.19	0.2554	0.4226	2.0349
♂	0.5000000	966.75	1189.70	1691.53	2297.65	2658.25	0.2547	0.4232	2.0346
♂	0.5833333	976.88	1201.52	1706.82	2316.73	2679.47	0.2541	0.4237	2.0344
♂	0.6666667	987.09	1213.44	1722.23	2335.96	2700.85	0.2535	0.4243	2.0341
♂	0.7500000	997.39	1225.46	1737.76	2355.33	2722.38	0.2529	0.4249	2.0338
♂	0.8333333	1007.78	1237.57	1753.41	2374.85	2744.08	0.2523	0.4255	2.0335
♂	0.9166667	1018.24	1249.77	1769.18	2394.51	2765.94	0.2517	0.4260	2.0332
♂	1.0000000	1028.79	1262.07	1785.06	2414.31	2787.95	0.2511	0.4266	2.0329
♂	2.0000000	1161.79	1416.93	1984.60	2662.72	3063.94	0.2443	0.4335	2.0294
♂	5.0000000	1621.69	1949.56	2664.85	3503.73	3995.78	0.2272	0.4536	2.0191
♂	6.0000000	1788.24	2141.40	2907.44	3801.18	4324.18	0.2224	0.4602	2.0157
♂	7.0000000	1957.18	2335.42	3151.51	4099.04	4652.37	0.2181	0.4667	2.0122
♂	8.0000000	2125.60	2528.31	3392.83	4392.10	4974.56	0.2142	0.4731	2.0088
♂	17.0000000	3035.01	3548.72	4614.17	5810.90	6501.95	0.1915	0.5268	1.9786
♂	18.0000000	3023.57	3532.06	4583.58	5762.05	6442.26	0.1901	0.5324	1.9752
♂	19.0000000	2998.34	3499.87	4534.06	5690.68	6358.07	0.1888	0.5378	1.9719
♂	20.0000000	2966.11	3460.04	4475.81	5609.60	6263.65	0.1877	0.5432	1.9686
♂	21.0000000	2933.45	3420.21	4418.63	5531.02	6172.61	0.1868	0.5484	1.9653
♂	22.0000000	2905.41	3386.22	4369.98	5464.14	6095.16	0.1859	0.5536	1.9620
♂	23.0000000	2882.54	3358.67	4330.51	5409.67	6032.02	0.1852	0.5586	1.9588
♂	24.0000000	2864.45	3337.07	4299.51	5366.62	5982.03	0.1847	0.5636	1.9555
♂	25.0000000	2850.79	3320.98	4276.34	5334.08	5944.16	0.1842	0.5685	1.9522
♂	26.0000000	2841.22	3309.99	4260.39	5311.25	5917.44	0.1838	0.5733	1.9490
♂	27.0000000	2835.40	3303.65	4251.06	5297.28	5900.92	0.1836	0.5780	1.9457
♂	28.0000000	2832.51	3301.04	4247.08	5290.56	5892.78	0.1834	0.5826	1.9425
♂	29.0000000	2831.47	3300.85	4246.77	5288.95	5890.60	0.1833	0.5870	1.9393
♂	30.0000000	2831.19	3301.81	4248.43	5290.32	5892.00	0.1833	0.5914	1.9361
♂	31.0000000	2830.57	3302.62	4250.39	5292.52	5894.58	0.1834	0.5957	1.9329
♂	32.0000000	2828.50	3301.98	4250.95	5293.43	5895.96	0.1836	0.5999	1.9297
♂	65.0000000	2211.10	2729.73	3736.87	4841.39	5500.92	0.2228	0.6753	1.8287
♂	66.0000000	2177.51	2697.80	3708.31	4817.66	5481.17	0.2255	0.6756	1.8258
♂	67.0000000	2139.29	2660.44	3672.88	4785.60	5452.26	0.2283	0.6756	1.8229
♂	68.0000000	2096.60	2617.82	3630.75	4745.40	5414.42	0.2312	0.6756	1.8200
♂	69.0000000	2049.63	2570.12	3582.15	4697.32	5367.89	0.2344	0.6754	1.8171
♂	70.0000000	1998.61	2517.59	3527.37	4641.68	5313.03	0.2377	0.6751	1.8142
♂	71.0000000	1944.27	2461.12	3467.57	4580.01	5251.56	0.2413	0.6747	1.8113
♂	72.0000000	1887.82	2402.21	3404.84	4515.00	5186.57	0.2451	0.6741	1.8084
♂	73.0000000	1830.39	2342.27	3341.17	4449.31	5121.13	0.2491	0.6734	1.8056
♂	74.0000000	1772.99	2282.60	3278.43	4385.47	5058.15	0.2534	0.6725	1.8027
♂	75.0000000	1716.48	2224.35	3218.36	4325.87	5000.42	0.2581	0.6715	1.7998
♂	76.0000000	1661.42	2168.30	3162.16	4272.25	4950.05	0.2630	0.6704	1.7970
♂	77.0000000	1607.61	2114.25	3109.72	4224.58	4907.07	0.2683	0.6691	1.7941
♂	78.0000000	1554.72	2061.83	3060.64	4182.51	4871.16	0.2741	0.6677	1.7913
♂	79.0000000	1502.41	2010.70	3014.57	4145.70	4842.03	0.2802	0.6661	1.7885
♂	80.0000000	1450.26	1960.36	2970.94	4113.58	4819.12	0.2868	0.6644	1.7857
♀	0.1666667	929.21	1214.46	1774.40	2415.73	2823.42	0.2685	0.6016	1.7390
♀	0.2500000	941.47	1228.55	1792.09	2437.73	2848.31	0.2676	0.5993	1.7388
♀	0.3333333	953.83	1242.75	1809.91	2459.88	2873.38	0.2667	0.5971	1.7386
♀	0.4166667	966.27	1257.05	1827.85	2482.20	2898.62	0.2658	0.5948	1.7384
♀	0.5000000	978.80	1271.44	1845.92	2504.66	2924.05	0.2649	0.5926	1.7382
♀	0.5833333	991.41	1285.93	1864.11	2527.28	2949.65	0.2641	0.5904	1.7380
♀	0.6666667	1004.11	1300.52	1882.41	2550.05	2975.42	0.2632	0.5881	1.7378
♀	0.7500000	1016.89	1315.20	1900.84	2572.97	3001.36	0.2624	0.5859	1.7376
♀	0.8333333	1029.76	1329.98	1919.38	2596.04	3027.48	0.2616	0.5836	1.7374
♀	0.9166667	1042.71	1344.85	1938.04	2619.25	3053.76	0.2607	0.5814	1.7372
♀	1.0000000	1055.74	1359.82	1956.82	2642.61	3080.21	0.2599	0.5791	1.7370
♀	2.0000000	1218.15	1546.10	2190.39	2933.31	3409.56	0.2511	0.5519	1.7345
♀	5.0000000	1747.25	2150.05	2944.71	3873.04	4477.14	0.2318	0.4691	1.7272
♀	6.0000000	1923.66	2350.14	3193.30	4183.14	4830.75	0.2273	0.4412	1.7248
♀	7.0000000	2094.26	2543.09	3432.55	4482.22	5172.82	0.2237	0.4133	1.7224
♀	8.0000000	2256.88	2726.57	3659.89	4767.40	5500.32	0.2207	0.3854	1.7199
♀	17.0000000	3150.11	3727.97	4915.83	6414.54	7470.32	0.2154	0.1425	1.6985
♀	18.0000000	3171.65	3750.95	4947.10	6468.11	7548.14	0.2163	0.1174	1.6961
♀	19.0000000	3179.03	3757.79	4958.26	6496.89	7598.30	0.2174	0.0928	1.6937
♀	20.0000000	3173.83	3750.30	4951.46	6503.33	7623.37	0.2187	0.0688	1.6914
♀	21.0000000	3157.78	3730.44	4929.07	6490.15	7626.21	0.2200	0.0455	1.6891
♀	22.0000000	3132.77	3700.36	4893.70	6460.43	7610.12	0.2215	0.0229	1.6867
♀	23.0000000	3101.14	3662.72	4848.69	6418.18	7579.54	0.2230	0.0010	1.6844
♀	24.0000000	3065.26	3620.29	4797.48	6367.66	7539.23	0.2245	-0.0201	1.6821
♀	25.0000000	3027.45	3575.71	4743.44	6313.04	7493.88	0.2260	-0.0403	1.6797
♀	26.0000000	2989.87	3531.51	4689.76	6258.37	7448.07	0.2276	-0.0597	1.6774
♀	27.0000000	2954.58	3490.04	4639.47	6207.47	7406.18	0.2290	-0.0780	1.6751
♀	28.0000000	2922.73	3452.66	4594.27	6162.47	7370.61	0.2304	-0.0954	1.6728
♀	29.0000000	2894.81	3419.88	4554.78	6124.08	7342.07	0.2318	-0.1117	1.6705
♀	30.0000000	2871.23	3392.18	4521.57	6092.94	7321.19	0.2330	-0.1270	1.6682
♀	31.0000000	2852.39	3370.01	4495.21	6069.71	7308.64	0.2341	-0.1410	1.6659
♀	32.0000000	2838.70	3353.84	4476.25	6055.05	7305.10	0.2351	-0.1539	1.6636
♀	65.0000000	2489.19	2982.88	3895.75	4952.83	5679.08	0.2023	0.4197	1.5911
♀	66.0000000	2457.78	2958.99	3874.74	4920.15	5630.78	0.2027	0.4772	1.5890
♀	67.0000000	2421.81	2932.09	3852.66	4888.15	5584.41	0.2035	0.5376	1.5869
♀	68.0000000	2380.26	2901.37	3828.82	4856.06	5539.11	0.2047	0.6011	1.5848
♀	69.0000000	2332.04	2865.98	3802.52	4823.14	5494.07	0.2065	0.6676	1.5827
♀	70.0000000	2275.91	2825.07	3773.09	4788.69	5448.47	0.2089	0.7371	1.5806
♀	71.0000000	2210.66	2777.91	3740.15	4752.35	5401.90	0.2119	0.8099	1.5785
♀	72.0000000	2135.22	2724.20	3703.94	4714.56	5354.86	0.2157	0.8858	1.5764
♀	73.0000000	2048.41	2663.65	3664.82	4675.91	5307.99	0.2203	0.9649	1.5743
♀	74.0000000	1949.03	2595.96	3623.17	4637.00	5261.93	0.2259	1.0474	1.5722
♀	75.0000000	1836.51	2521.00	3579.45	4598.48	5217.33	0.2325	1.1331	1.5702
♀	76.0000000	1712.01	2439.11	3534.23	4561.09	5174.93	0.2404	1.2223	1.5681
♀	77.0000000	1579.74	2351.56	3488.46	4525.86	5135.75	0.2497	1.3149	1.5660
♀	78.0000000	1447.62	2260.82	3443.34	4494.03	5100.98	0.2607	1.4110	1.5640
♀	79.0000000	1325.84	2170.65	3400.37	4466.95	5071.87	0.2736	1.5107	1.5619
♀	80.0000000	1223.60	2085.78	3361.26	4446.04	5049.69	0.2888	1.6139	1.5599

BP3

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	927.06	1143.36	1631.56	2222.79	2575.00	0.2573	0.4208	2.0358
♂	0.2500000	936.85	1154.80	1646.37	2241.28	2595.57	0.2566	0.4214	2.0355
♂	0.3333333	946.73	1166.33	1661.31	2259.93	2616.30	0.2560	0.4220	2.0352
♂	0.4166667	956.70	1177.97	1676.36	2278.72	2637.19	0.2554	0.4226	2.0349
♂	0.5000000	966.75	1189.70	1691.53	2297.65	2658.25	0.2547	0.4232	2.0346
♂	0.5833333	976.88	1201.52	1706.82	2316.73	2679.47	0.2541	0.4237	2.0344
♂	0.6666667	987.09	1213.44	1722.23	2335.96	2700.85	0.2535	0.4243	2.0341
♂	0.7500000	997.39	1225.46	1737.76	2355.33	2722.38	0.2529	0.4249	2.0338
♂	0.8333333	1007.78	1237.57	1753.41	2374.85	2744.08	0.2523	0.4255	2.0335
♂	0.9166667	1018.24	1249.77	1769.18	2394.51	2765.94	0.2517	0.4260	2.0332
♂	1.0000000	1028.79	1262.07	1785.06	2414.31	2787.95	0.2511	0.4266	2.0329
♂	2.0000000	1161.79	1416.93	1984.60	2662.72	3063.94	0.2443	0.4335	2.0294
♂	5.0000000	1621.69	1949.56	2664.85	3503.73	3995.78	0.2272	0.4536	2.0191
♂	6.0000000	1788.24	2141.40	2907.44	3801.18	4324.18	0.2224	0.4602	2.0157
♂	7.0000000	1957.18	2335.42	3151.51	4099.04	4652.37	0.2181	0.4667	2.0122
♂	8.0000000	2125.60	2528.31	3392.83	4392.10	4974.56	0.2142	0.4731	2.0088
♂	17.0000000	3035.01	3548.72	4614.17	5810.90	6501.95	0.1915	0.5268	1.9786
♂	18.0000000	3023.57	3532.06	4583.58	5762.05	6442.26	0.1901	0.5324	1.9752
♂	19.0000000	2998.34	3499.87	4534.06	5690.68	6358.07	0.1888	0.5378	1.9719
♂	20.0000000	2966.11	3460.04	4475.81	5609.60	6263.65	0.1877	0.5432	1.9686
♂	21.0000000	2933.45	3420.21	4418.63	5531.02	6172.61	0.1868	0.5484	1.9653
♂	22.0000000	2905.41	3386.22	4369.98	5464.14	6095.16	0.1859	0.5536	1.9620
♂	23.0000000	2882.54	3358.67	4330.51	5409.67	6032.02	0.1852	0.5586	1.9588
♂	24.0000000	2864.45	3337.07	4299.51	5366.62	5982.03	0.1847	0.5636	1.9555
♂	25.0000000	2850.79	3320.98	4276.34	5334.08	5944.16	0.1842	0.5685	1.9522
♂	26.0000000	2841.22	3309.99	4260.39	5311.25	5917.44	0.1838	0.5733	1.9490
♂	27.0000000	2835.40	3303.65	4251.06	5297.28	5900.92	0.1836	0.5780	1.9457
♂	28.0000000	2832.51	3301.04	4247.08	5290.56	5892.78	0.1834	0.5826	1.9425
♂	29.0000000	2831.47	3300.85	4246.77	5288.95	5890.60	0.1833	0.5870	1.9393
♂	30.0000000	2831.19	3301.81	4248.43	5290.32	5892.00	0.1833	0.5914	1.9361
♂	31.0000000	2830.57	3302.62	4250.39	5292.52	5894.58	0.1834	0.5957	1.9329
♂	32.0000000	2828.50	3301.98	4250.95	5293.43	5895.96	0.1836	0.5999	1.9297
♂	65.0000000	2211.10	2729.73	3736.87	4841.39	5500.92	0.2228	0.6753	1.8287
♂	66.0000000	2177.51	2697.80	3708.31	4817.66	5481.17	0.2255	0.6756	1.8258
♂	67.0000000	2139.29	2660.44	3672.88	4785.60	5452.26	0.2283	0.6756	1.8229
♂	68.0000000	2096.60	2617.82	3630.75	4745.40	5414.42	0.2312	0.6756	1.8200
♂	69.0000000	2049.63	2570.12	3582.15	4697.32	5367.89	0.2344	0.6754	1.8171
♂	70.0000000	1998.61	2517.59	3527.37	4641.68	5313.03	0.2377	0.6751	1.8142
♂	71.0000000	1944.27	2461.12	3467.57	4580.01	5251.56	0.2413	0.6747	1.8113
♂	72.0000000	1887.82	2402.21	3404.84	4515.00	5186.57	0.2451	0.6741	1.8084
♂	73.0000000	1830.39	2342.27	3341.17	4449.31	5121.13	0.2491	0.6734	1.8056
♂	74.0000000	1772.99	2282.60	3278.43	4385.47	5058.15	0.2534	0.6725	1.8027
♂	75.0000000	1716.48	2224.35	3218.36	4325.87	5000.42	0.2581	0.6715	1.7998
♂	76.0000000	1661.42	2168.30	3162.16	4272.25	4950.05	0.2630	0.6704	1.7970
♂	77.0000000	1607.61	2114.25	3109.72	4224.58	4907.07	0.2683	0.6691	1.7941
♂	78.0000000	1554.72	2061.83	3060.64	4182.51	4871.16	0.2741	0.6677	1.7913
♂	79.0000000	1502.41	2010.70	3014.57	4145.70	4842.03	0.2802	0.6661	1.7885
♂	80.0000000	1450.26	1960.36	2970.94	4113.58	4819.12	0.2868	0.6644	1.7857
♀	0.1666667	920.30	1206.39	1763.40	2414.27	2845.92	0.2728	0.5472	1.6714
♀	0.2500000	932.37	1220.41	1781.19	2436.60	2871.35	0.2719	0.5452	1.6715
♀	0.3333333	944.54	1234.53	1799.12	2459.09	2896.94	0.2710	0.5432	1.6716
♀	0.4166667	956.80	1248.75	1817.17	2481.73	2922.70	0.2702	0.5412	1.6717
♀	0.5000000	969.16	1263.08	1835.34	2504.51	2948.63	0.2693	0.5392	1.6718
♀	0.5833333	981.61	1277.51	1853.64	2527.44	2974.72	0.2685	0.5372	1.6719
♀	0.6666667	994.15	1292.05	1872.05	2550.52	3000.97	0.2676	0.5353	1.6720
♀	0.7500000	1006.78	1306.68	1890.59	2573.74	3027.37	0.2668	0.5333	1.6721
♀	0.8333333	1019.50	1321.42	1909.25	2597.10	3053.94	0.2660	0.5313	1.6722
♀	0.9166667	1032.31	1336.25	1928.02	2620.60	3080.66	0.2652	0.5294	1.6723
♀	1.0000000	1045.22	1351.18	1946.92	2644.23	3107.53	0.2644	0.5274	1.6723
♀	2.0000000	1206.65	1537.61	2182.09	2937.84	3440.92	0.2553	0.5048	1.6734
♀	5.0000000	1742.23	2150.44	2945.79	3882.52	4508.87	0.2337	0.4436	1.6767
♀	6.0000000	1924.89	2357.25	3199.92	4193.55	4858.74	0.2280	0.4254	1.6778
♀	7.0000000	2103.37	2558.24	3445.09	4492.00	5193.58	0.2229	0.4084	1.6789
♀	8.0000000	2274.62	2750.06	3677.42	4773.29	5508.36	0.2184	0.3923	1.6800
♀	17.0000000	3132.81	3681.01	4756.25	6036.66	6899.79	0.1962	0.2926	1.6901
♀	18.0000000	3137.11	3681.01	4748.60	6020.76	6878.53	0.1952	0.2861	1.6913
♀	19.0000000	3127.55	3665.62	4722.57	5982.82	6832.70	0.1943	0.2805	1.6924
♀	20.0000000	3106.96	3638.13	4682.29	5928.00	6768.15	0.1937	0.2757	1.6935
♀	21.0000000	3078.21	3601.85	4631.91	5861.45	6690.71	0.1931	0.2717	1.6947
♀	22.0000000	3044.01	3559.86	4575.30	5787.94	6605.76	0.1928	0.2685	1.6958
♀	23.0000000	3006.32	3514.39	4515.20	5710.81	6517.05	0.1926	0.2662	1.6970
♀	24.0000000	2966.83	3467.36	4453.94	5632.91	6427.76	0.1924	0.2645	1.6981
♀	25.0000000	2927.15	3420.58	4393.75	5556.94	6340.93	0.1924	0.2636	1.6993
♀	26.0000000	2888.79	3375.77	4336.72	5485.46	6259.40	0.1925	0.2635	1.7005
♀	27.0000000	2853.18	3334.52	4284.82	5420.86	6185.87	0.1927	0.2640	1.7016
♀	28.0000000	2821.52	3298.20	4239.71	5365.17	6122.62	0.1929	0.2652	1.7028
♀	29.0000000	2794.82	3267.96	4202.82	5320.13	6071.59	0.1932	0.2671	1.7040
♀	30.0000000	2774.08	3244.93	4175.54	5287.44	6034.67	0.1935	0.2696	1.7052
♀	31.0000000	2760.27	3230.22	4159.26	5268.83	6013.83	0.1939	0.2728	1.7063
♀	32.0000000	2754.38	3224.99	4155.43	5266.10	6011.09	0.1943	0.2766	1.7075
♀	65.0000000	2437.28	2948.96	3917.51	4986.52	5648.54	0.2060	0.6220	1.7483
♀	66.0000000	2413.11	2925.53	3893.52	4958.59	5616.29	0.2069	0.6355	1.7496
♀	67.0000000	2387.74	2901.08	3868.86	4930.46	5584.15	0.2078	0.6489	1.7509
♀	68.0000000	2360.52	2874.87	3842.65	4901.05	5550.96	0.2089	0.6623	1.7522
♀	69.0000000	2330.82	2846.18	3814.01	4869.31	5515.54	0.2101	0.6755	1.7535
♀	70.0000000	2298.06	2814.35	3782.10	4834.25	5476.81	0.2116	0.6887	1.7548
♀	71.0000000	2261.88	2778.98	3746.49	4795.36	5434.23	0.2132	0.7018	1.7562
♀	72.0000000	2222.50	2740.38	3707.64	4753.33	5388.60	0.2151	0.7147	1.7575
♀	73.0000000	2180.19	2698.94	3666.19	4709.00	5340.92	0.2172	0.7275	1.7588
♀	74.0000000	2135.20	2655.03	3622.71	4663.22	5292.17	0.2196	0.7401	1.7601
♀	75.0000000	2087.76	2609.00	3577.78	4616.79	5243.31	0.2223	0.7525	1.7614
♀	76.0000000	2038.05	2561.15	3531.94	4570.52	5195.27	0.2253	0.7647	1.7628
♀	77.0000000	1986.15	2511.67	3485.60	4525.02	5148.83	0.2287	0.7767	1.7641
♀	78.0000000	1932.08	2460.71	3439.11	4480.87	5104.67	0.2326	0.7884	1.7654
♀	79.0000000	1875.81	2408.34	3392.79	4438.63	5063.48	0.2370	0.7999	1.7668
♀	80.0000000	1817.28	2354.65	3346.93	4398.83	5025.96	0.2418	0.8111	1.7681

IGF1_INCL_CC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	14.02	21.40	39.95	65.66	82.98	0.4320	0.4086	1.9056
♂	0.2500000	14.07	21.46	40.05	65.82	83.16	0.4318	0.4086	1.9092
♂	0.3333333	14.13	21.53	40.17	66.01	83.36	0.4315	0.4086	1.9135
♂	0.4166667	14.20	21.61	40.31	66.23	83.60	0.4312	0.4086	1.9184
♂	0.5000000	14.28	21.71	40.48	66.48	83.87	0.4308	0.4086	1.9239
♂	0.5833333	14.36	21.81	40.65	66.75	84.17	0.4304	0.4086	1.9298
♂	0.6666667	14.46	21.93	40.85	67.06	84.51	0.4300	0.4086	1.9362
♂	0.7500000	14.56	22.06	41.07	67.39	84.87	0.4296	0.4085	1.9430
♂	0.8333333	14.68	22.19	41.30	67.75	85.27	0.4291	0.4085	1.9503
♂	0.9166667	14.80	22.34	41.55	68.14	85.71	0.4286	0.4085	1.9579
♂	1.0000000	14.93	22.50	41.83	68.57	86.18	0.4281	0.4084	1.9659
♂	2.0000000	17.45	25.63	47.15	76.82	95.54	0.4197	0.4059	2.0886
♂	5.0000000	38.30	50.53	85.25	132.45	158.75	0.3657	0.3565	2.5074
♂	6.0000000	47.49	60.53	96.76	145.20	172.04	0.3330	0.3315	2.5041
♂	7.0000000	59.54	73.78	111.65	161.90	190.72	0.3011	0.2764	2.3741
♂	8.0000000	67.28	82.02	119.47	170.04	201.35	0.2819	0.1742	2.1793
♂	15.0000000	209.01	255.91	357.70	466.50	522.05	0.2277	0.7759	2.2578
♂	16.0000000	210.27	252.12	343.61	443.87	496.67	0.2161	0.6734	2.2102
♂	17.0000000	197.62	234.80	316.30	407.52	456.99	0.2118	0.5887	2.1619
♂	18.0000000	179.97	213.23	286.02	368.99	415.31	0.2115	0.5207	2.1096
♂	19.0000000	162.75	192.98	258.83	335.05	378.87	0.2135	0.4674	2.0539
♂	20.0000000	148.81	176.92	237.72	309.03	351.22	0.2166	0.4260	1.9966
♂	21.0000000	139.07	165.91	223.41	291.57	333.04	0.2197	0.3941	1.9394
♂	22.0000000	132.72	158.91	214.34	280.61	322.01	0.2224	0.3698	1.8838
♂	23.0000000	128.45	154.30	208.34	273.33	314.94	0.2243	0.3515	1.8311
♂	24.0000000	124.43	149.95	202.54	266.08	307.69	0.2258	0.3380	1.7812
♂	25.0000000	119.41	144.34	194.95	256.31	297.36	0.2268	0.3281	1.7339
♂	26.0000000	114.14	138.37	186.85	245.72	285.92	0.2276	0.3213	1.6891
♂	27.0000000	110.02	133.76	180.53	237.40	276.95	0.2281	0.3173	1.6472
♂	28.0000000	107.56	131.12	176.83	232.40	271.73	0.2283	0.3157	1.6086
♂	29.0000000	106.28	129.85	174.90	229.60	268.90	0.2280	0.3167	1.5738
♂	30.0000000	105.67	129.31	173.87	227.85	267.12	0.2272	0.3201	1.5433
♂	31.0000000	105.28	128.98	173.02	226.22	265.31	0.2259	0.3258	1.5173
♂	32.0000000	104.72	128.38	171.81	224.07	262.75	0.2244	0.3335	1.4959
♂	33.0000000	103.73	127.22	169.87	220.98	258.98	0.2228	0.3431	1.4792
♂	34.0000000	102.33	125.54	167.32	217.15	254.30	0.2214	0.3544	1.4671
♂	35.0000000	100.63	123.53	164.44	213.03	249.25	0.2203	0.3672	1.4599
♂	36.0000000	98.78	121.34	161.49	208.97	244.28	0.2197	0.3812	1.4574
♂	37.0000000	96.83	119.09	158.61	205.15	239.60	0.2197	0.3963	1.4594
♂	38.0000000	94.84	116.82	155.84	201.62	235.30	0.2203	0.4121	1.4655
♂	39.0000000	92.85	114.58	153.22	198.41	231.40	0.2213	0.4281	1.4752
♂	40.0000000	90.89	112.40	150.79	195.54	227.91	0.2228	0.4440	1.4880
♂	41.0000000	89.04	110.34	148.55	192.96	224.78	0.2244	0.4589	1.5033
♂	42.0000000	87.35	108.45	146.52	190.67	221.96	0.2261	0.4719	1.5208
♂	43.0000000	85.88	106.76	144.70	188.63	219.44	0.2276	0.4824	1.5398
♂	44.0000000	84.63	105.28	143.10	186.85	217.22	0.2289	0.4900	1.5599
♂	45.0000000	83.55	103.97	141.68	185.30	215.28	0.2301	0.4947	1.5804
♂	46.0000000	82.60	102.80	140.43	183.97	213.65	0.2313	0.4965	1.6005
♂	47.0000000	81.74	101.72	139.30	182.84	212.29	0.2327	0.4955	1.6199
♂	48.0000000	80.88	100.66	138.20	181.78	211.08	0.2342	0.4921	1.6377
♂	49.0000000	79.94	99.51	137.00	180.63	209.82	0.2359	0.4871	1.6535
♂	50.0000000	78.85	98.22	135.59	179.25	208.36	0.2378	0.4811	1.6668
♂	51.0000000	77.56	96.71	133.92	177.53	206.55	0.2399	0.4746	1.6772
♂	52.0000000	76.11	95.01	131.98	175.47	204.39	0.2422	0.4678	1.6848
♂	53.0000000	74.56	93.21	129.89	173.20	202.02	0.2445	0.4606	1.6900
♂	54.0000000	73.02	91.42	127.78	170.87	199.59	0.2468	0.4528	1.6933
♂	55.0000000	71.58	89.73	125.74	168.60	197.24	0.2489	0.4444	1.6952
♂	56.0000000	70.28	88.20	123.88	166.54	195.12	0.2509	0.4351	1.6962
♂	57.0000000	69.20	86.90	122.29	164.81	193.38	0.2527	0.4249	1.6966
♂	58.0000000	68.33	85.85	121.03	163.48	192.11	0.2543	0.4136	1.6967
♂	59.0000000	67.70	85.08	120.12	162.61	191.38	0.2558	0.4014	1.6967
♂	60.0000000	67.29	84.57	119.55	162.20	191.20	0.2573	0.3882	1.6969
♂	61.0000000	67.05	84.26	119.27	162.19	191.50	0.2588	0.3742	1.6971
♂	62.0000000	66.92	84.09	119.18	162.46	192.16	0.2603	0.3595	1.6974
♂	63.0000000	66.84	83.98	119.18	162.89	193.03	0.2620	0.3442	1.6978
♂	64.0000000	66.71	83.82	119.16	163.32	193.92	0.2638	0.3284	1.6982
♂	65.0000000	66.48	83.54	118.97	163.57	194.65	0.2659	0.3123	1.6986
♂	66.0000000	66.07	83.05	118.54	163.54	195.07	0.2682	0.2959	1.6992
♂	67.0000000	65.45	82.32	117.78	163.12	195.09	0.2707	0.2793	1.6998
♂	68.0000000	64.58	81.29	116.66	162.26	194.62	0.2737	0.2625	1.7007
♂	69.0000000	63.49	80.01	115.21	161.01	193.73	0.2770	0.2457	1.7019
♂	70.0000000	62.23	78.51	113.50	159.45	192.51	0.2806	0.2287	1.7034
♂	71.0000000	60.85	76.89	111.63	157.72	191.12	0.2846	0.2117	1.7052
♂	72.0000000	59.41	75.20	109.70	155.94	189.72	0.2890	0.1947	1.7076
♂	73.0000000	57.97	73.51	107.79	154.24	188.43	0.2936	0.1778	1.7103
♂	74.0000000	56.58	71.88	105.97	152.70	187.37	0.2985	0.1609	1.7135
♂	75.0000000	55.26	70.35	104.30	151.40	186.64	0.3037	0.1442	1.7172
♂	76.0000000	54.03	68.92	102.79	150.36	186.25	0.3090	0.1276	1.7213
♂	77.0000000	52.89	67.61	101.44	149.56	186.19	0.3145	0.1112	1.7256
♂	78.0000000	51.82	66.38	100.22	148.97	186.42	0.3201	0.0949	1.7303
♂	79.0000000	50.82	65.23	99.10	148.56	186.90	0.3259	0.0788	1.7351
♂	80.0000000	49.87	64.14	98.05	148.26	187.56	0.3317	0.0629	1.7401
♀	0.1666667	12.25	21.19	42.83	69.69	85.66	0.4438	0.6272	2.0258
♀	0.2500000	12.42	21.42	43.20	70.26	86.36	0.4430	0.6254	2.0237
♀	0.3333333	12.61	21.69	43.65	70.93	87.19	0.4420	0.6234	2.0212
♀	0.4166667	12.84	22.01	44.16	71.69	88.13	0.4409	0.6211	2.0184
♀	0.5000000	13.10	22.36	44.72	72.55	89.19	0.4398	0.6185	2.0153
♀	0.5833333	13.38	22.75	45.35	73.49	90.34	0.4385	0.6158	2.0120
♀	0.6666667	13.69	23.17	46.02	74.50	91.60	0.4371	0.6128	2.0084
♀	0.7500000	14.02	23.63	46.75	75.59	92.94	0.4357	0.6096	2.0046
♀	0.8333333	14.38	24.11	47.52	76.76	94.38	0.4341	0.6063	2.0007
♀	0.9166667	14.76	24.63	48.35	77.99	95.90	0.4325	0.6028	1.9965
♀	1.0000000	15.17	25.19	49.22	79.29	97.50	0.4308	0.5992	1.9922
♀	2.0000000	21.87	34.00	62.58	98.82	121.49	0.4062	0.5467	1.9339
♀	5.0000000	53.02	68.91	104.01	149.54	180.72	0.3043	0.3246	1.7863
♀	6.0000000	64.14	80.14	115.63	162.61	195.60	0.2790	0.2052	1.7798
♀	7.0000000	74.91	91.03	128.47	180.02	216.58	0.2681	0.0606	1.8523
♀	8.0000000	84.57	100.72	141.75	201.60	243.44	0.2702	-0.0866	2.0382
♀	14.0000000	197.97	251.47	348.36	446.46	501.74	0.2204	0.9563	1.8394
♀	15.0000000	175.57	225.02	315.73	409.27	462.89	0.2301	0.8962	1.8246
♀	16.0000000	157.05	203.57	289.75	380.14	432.93	0.2407	0.8449	1.8044
♀	17.0000000	141.28	185.46	267.80	355.60	407.96	0.2515	0.8006	1.7767
♀	18.0000000	130.05	172.49	251.96	338.08	390.62	0.2607	0.7581	1.7452
♀	19.0000000	122.34	163.00	239.61	324.07	376.78	0.2672	0.7125	1.7172
♀	20.0000000	116.13	154.25	226.81	308.35	360.27	0.2704	0.6596	1.7000
♀	21.0000000	111.72	146.98	215.31	293.78	344.58	0.2712	0.5969	1.6982
♀	22.0000000	109.39	142.04	206.95	283.37	333.46	0.2710	0.5242	1.7133
♀	23.0000000	108.37	138.82	201.33	276.91	326.90	0.2712	0.4465	1.7428
♀	24.0000000	107.89	136.54	197.45	273.17	323.55	0.2723	0.3689	1.7836
♀	25.0000000	107.08	134.00	193.28	268.98	319.50	0.2733	0.2958	1.8319
♀	26.0000000	105.38	130.45	187.50	262.06	311.82	0.2732	0.2303	1.8839
♀	27.0000000	103.40	126.67	181.10	253.57	301.81	0.2713	0.1735	1.9359
♀	28.0000000	101.94	123.61	175.43	245.33	291.62	0.2675	0.1253	1.9844
♀	29.0000000	101.28	121.62	171.05	238.27	282.50	0.2620	0.0852	2.0269
♀	30.0000000	101.29	120.59	167.99	232.71	275.01	0.2558	0.0521	2.0619
♀	31.0000000	101.89	120.40	166.18	228.78	269.43	0.2495	0.0254	2.0883
♀	32.0000000	102.80	120.73	165.21	225.99	265.28	0.2435	0.0039	2.1057
♀	33.0000000	103.70	121.19	164.58	223.77	261.92	0.2381	-0.0131	2.1140
♀	34.0000000	104.36	121.50	163.91	221.65	258.84	0.2334	-0.0264	2.1132
♀	35.0000000	104.60	121.45	162.95	219.33	255.71	0.2295	-0.0364	2.1043
♀	36.0000000	104.29	120.90	161.52	216.59	252.27	0.2266	-0.0436	2.0882
♀	37.0000000	103.35	119.73	159.48	213.28	248.37	0.2246	-0.0484	2.0658
♀	38.0000000	101.85	118.03	156.94	209.57	244.19	0.2236	-0.0510	2.0384
♀	39.0000000	99.92	115.93	154.10	205.70	240.02	0.2236	-0.0516	2.0071
♀	40.0000000	97.65	113.55	151.09	201.88	236.09	0.2248	-0.0505	1.9730
♀	41.0000000	95.15	110.99	148.04	198.25	232.55	0.2270	-0.0479	1.9369
♀	42.0000000	92.48	108.32	145.00	194.85	229.42	0.2302	-0.0438	1.9002
♀	43.0000000	89.72	105.59	142.03	191.70	226.73	0.2343	-0.0387	1.8637
♀	44.0000000	86.91	102.86	139.16	188.85	224.47	0.2392	-0.0325	1.8283
♀	45.0000000	84.12	100.16	136.43	186.28	222.61	0.2448	-0.0253	1.7948
♀	46.0000000	81.40	97.57	133.86	183.96	221.05	0.2507	-0.0170	1.7639
♀	47.0000000	78.83	95.12	131.47	181.86	219.67	0.2567	-0.0072	1.7364
♀	48.0000000	76.45	92.85	129.29	179.94	218.40	0.2625	0.0040	1.7127
♀	49.0000000	74.29	90.80	127.31	178.17	217.13	0.2678	0.0168	1.6932
♀	50.0000000	72.37	88.98	125.55	176.51	215.78	0.2724	0.0312	1.6779
♀	51.0000000	70.73	87.41	124.00	174.92	214.27	0.2761	0.0471	1.6668
♀	52.0000000	69.38	86.10	122.66	173.38	212.54	0.2787	0.0646	1.6600
♀	53.0000000	68.32	85.06	121.53	171.84	210.54	0.2800	0.0836	1.6575
♀	54.0000000	67.49	84.22	120.52	170.28	208.27	0.2803	0.1037	1.6588
♀	55.0000000	66.82	83.50	119.58	168.65	205.75	0.2797	0.1246	1.6635
♀	56.0000000	66.23	82.83	118.63	166.90	203.00	0.2786	0.1457	1.6709
♀	57.0000000	65.67	82.15	117.61	165.01	200.03	0.2770	0.1669	1.6808
♀	58.0000000	65.09	81.41	116.49	162.96	196.86	0.2753	0.1877	1.6928
♀	59.0000000	64.47	80.61	115.27	160.79	193.56	0.2736	0.2078	1.7067
♀	60.0000000	63.82	79.76	113.97	158.56	190.23	0.2719	0.2270	1.7222
♀	61.0000000	63.15	78.85	112.62	156.30	186.91	0.2703	0.2449	1.7394
♀	62.0000000	62.44	77.91	111.23	154.06	183.67	0.2689	0.2613	1.7580
♀	63.0000000	61.72	76.94	109.83	151.86	180.56	0.2678	0.2759	1.7780
♀	64.0000000	60.96	75.94	108.42	149.74	177.60	0.2669	0.2888	1.7993
♀	65.0000000	60.20	74.92	107.02	147.70	174.80	0.2664	0.2998	1.8217
♀	66.0000000	59.42	73.90	105.65	145.75	172.17	0.2662	0.3092	1.8451
♀	67.0000000	58.64	72.88	104.31	143.92	169.72	0.2662	0.3168	1.8695
♀	68.0000000	57.86	71.87	103.00	142.19	167.46	0.2666	0.3228	1.8948
♀	69.0000000	57.09	70.86	101.74	140.59	165.38	0.2672	0.3272	1.9209
♀	70.0000000	56.32	69.88	100.53	139.10	163.48	0.2682	0.3301	1.9477
♀	71.0000000	55.56	68.91	99.37	137.73	161.75	0.2693	0.3318	1.9750
♀	72.0000000	54.81	67.95	98.25	136.46	160.17	0.2708	0.3324	2.0029
♀	73.0000000	54.06	67.01	97.18	135.27	158.72	0.2724	0.3322	2.0311
♀	74.0000000	53.32	66.09	96.14	134.18	157.40	0.2743	0.3313	2.0596
♀	75.0000000	52.59	65.19	95.15	133.16	156.19	0.2763	0.3299	2.0884
♀	76.0000000	51.87	64.31	94.19	132.22	155.09	0.2785	0.3282	2.1173
♀	77.0000000	51.16	63.44	93.27	131.34	154.08	0.2808	0.3261	2.1462
♀	78.0000000	50.46	62.59	92.38	130.53	153.15	0.2833	0.3239	2.1752
♀	79.0000000	49.78	61.77	91.53	129.77	152.29	0.2858	0.3214	2.2043
♀	80.0000000	49.11	60.96	90.71	129.06	151.50	0.2884	0.3189	2.2335

IGF1

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	14.30	21.63	40.27	66.50	84.30	0.4334	0.3839	1.9157
♂	0.2500000	14.33	21.66	40.32	66.57	84.36	0.4332	0.3840	1.9190
♂	0.3333333	14.37	21.70	40.39	66.67	84.46	0.4330	0.3841	1.9230
♂	0.4166667	14.42	21.75	40.48	66.81	84.60	0.4327	0.3843	1.9275
♂	0.5000000	14.48	21.82	40.59	66.98	84.77	0.4323	0.3844	1.9325
♂	0.5833333	14.55	21.90	40.73	67.18	84.98	0.4320	0.3846	1.9379
♂	0.6666667	14.62	21.99	40.88	67.41	85.23	0.4316	0.3848	1.9437
♂	0.7500000	14.71	22.10	41.05	67.68	85.51	0.4311	0.3850	1.9499
♂	0.8333333	14.81	22.21	41.25	67.97	85.82	0.4307	0.3852	1.9564
♂	0.9166667	14.91	22.34	41.46	68.30	86.18	0.4302	0.3854	1.9633
♂	1.0000000	15.03	22.48	41.70	68.67	86.58	0.4297	0.3856	1.9706
♂	2.0000000	17.47	25.55	46.92	76.73	95.74	0.4211	0.3866	2.0799
♂	5.0000000	37.95	50.32	84.74	131.72	158.66	0.3663	0.3476	2.4113
♂	6.0000000	46.84	60.02	95.74	143.80	171.47	0.3339	0.3159	2.3790
♂	7.0000000	58.70	73.18	110.80	161.39	191.77	0.3045	0.2482	2.2509
♂	8.0000000	66.20	81.10	118.53	170.12	203.58	0.2877	0.1322	2.0869
♂	15.0000000	209.01	255.91	357.70	466.50	522.05	0.2277	0.7759	2.2578
♂	16.0000000	210.27	252.12	343.61	443.87	496.67	0.2161	0.6734	2.2102
♂	17.0000000	197.62	234.80	316.30	407.52	456.99	0.2118	0.5887	2.1619
♂	18.0000000	179.97	213.23	286.02	368.99	415.31	0.2115	0.5207	2.1096
♂	19.0000000	162.75	192.98	258.83	335.05	378.87	0.2135	0.4674	2.0539
♂	20.0000000	148.81	176.92	237.72	309.03	351.22	0.2166	0.4260	1.9966
♂	21.0000000	139.07	165.91	223.41	291.57	333.04	0.2197	0.3941	1.9394
♂	22.0000000	132.72	158.91	214.34	280.61	322.01	0.2224	0.3698	1.8838
♂	23.0000000	128.45	154.30	208.34	273.33	314.94	0.2243	0.3515	1.8311
♂	24.0000000	124.43	149.95	202.54	266.08	307.69	0.2258	0.3380	1.7812
♂	25.0000000	119.41	144.34	194.95	256.31	297.36	0.2268	0.3281	1.7339
♂	26.0000000	114.14	138.37	186.85	245.72	285.92	0.2276	0.3213	1.6891
♂	27.0000000	110.02	133.76	180.53	237.40	276.95	0.2281	0.3173	1.6472
♂	28.0000000	107.56	131.12	176.83	232.40	271.73	0.2283	0.3157	1.6086
♂	29.0000000	106.28	129.85	174.90	229.60	268.90	0.2280	0.3167	1.5738
♂	30.0000000	105.67	129.31	173.87	227.85	267.12	0.2272	0.3201	1.5433
♂	31.0000000	105.28	128.98	173.02	226.22	265.31	0.2259	0.3258	1.5173
♂	32.0000000	104.72	128.38	171.81	224.07	262.75	0.2244	0.3335	1.4959
♂	33.0000000	103.73	127.22	169.87	220.98	258.98	0.2228	0.3431	1.4792
♂	34.0000000	102.33	125.54	167.32	217.15	254.30	0.2214	0.3544	1.4671
♂	35.0000000	100.63	123.53	164.44	213.03	249.25	0.2203	0.3672	1.4599
♂	36.0000000	98.78	121.34	161.49	208.97	244.28	0.2197	0.3812	1.4574
♂	37.0000000	96.83	119.09	158.61	205.15	239.60	0.2197	0.3963	1.4594
♂	38.0000000	94.84	116.82	155.84	201.62	235.30	0.2203	0.4121	1.4655
♂	39.0000000	92.85	114.58	153.22	198.41	231.40	0.2213	0.4281	1.4752
♂	40.0000000	90.89	112.40	150.79	195.54	227.91	0.2228	0.4440	1.4880
♂	41.0000000	89.04	110.34	148.55	192.96	224.78	0.2244	0.4589	1.5033
♂	42.0000000	87.35	108.45	146.52	190.67	221.96	0.2261	0.4719	1.5208
♂	43.0000000	85.88	106.76	144.70	188.63	219.44	0.2276	0.4824	1.5398
♂	44.0000000	84.63	105.28	143.10	186.85	217.22	0.2289	0.4900	1.5599
♂	45.0000000	83.55	103.97	141.68	185.30	215.28	0.2301	0.4947	1.5804
♂	46.0000000	82.60	102.80	140.43	183.97	213.65	0.2313	0.4965	1.6005
♂	47.0000000	81.74	101.72	139.30	182.84	212.29	0.2327	0.4955	1.6199
♂	48.0000000	80.88	100.66	138.20	181.78	211.08	0.2342	0.4921	1.6377
♂	49.0000000	79.94	99.51	137.00	180.63	209.82	0.2359	0.4871	1.6535
♂	50.0000000	78.85	98.22	135.59	179.25	208.36	0.2378	0.4811	1.6668
♂	51.0000000	77.56	96.71	133.92	177.53	206.55	0.2399	0.4746	1.6772
♂	52.0000000	76.11	95.01	131.98	175.47	204.39	0.2422	0.4678	1.6848
♂	53.0000000	74.56	93.21	129.89	173.20	202.02	0.2445	0.4606	1.6900
♂	54.0000000	73.02	91.42	127.78	170.87	199.59	0.2468	0.4528	1.6933
♂	55.0000000	71.58	89.73	125.74	168.60	197.24	0.2489	0.4444	1.6952
♂	56.0000000	70.28	88.20	123.88	166.54	195.12	0.2509	0.4351	1.6962
♂	57.0000000	69.20	86.90	122.29	164.81	193.38	0.2527	0.4249	1.6966
♂	58.0000000	68.33	85.85	121.03	163.48	192.11	0.2543	0.4136	1.6967
♂	59.0000000	67.70	85.08	120.12	162.61	191.38	0.2558	0.4014	1.6967
♂	60.0000000	67.29	84.57	119.55	162.20	191.20	0.2573	0.3882	1.6969
♂	61.0000000	67.05	84.26	119.27	162.19	191.50	0.2588	0.3742	1.6971
♂	62.0000000	66.92	84.09	119.18	162.46	192.16	0.2603	0.3595	1.6974
♂	63.0000000	66.84	83.98	119.18	162.89	193.03	0.2620	0.3442	1.6978
♂	64.0000000	66.71	83.82	119.16	163.32	193.92	0.2638	0.3284	1.6982
♂	65.0000000	66.48	83.54	118.97	163.57	194.65	0.2659	0.3123	1.6986
♂	66.0000000	66.07	83.05	118.54	163.54	195.07	0.2682	0.2959	1.6992
♂	67.0000000	65.45	82.32	117.78	163.12	195.09	0.2707	0.2793	1.6998
♂	68.0000000	64.58	81.29	116.66	162.26	194.62	0.2737	0.2625	1.7007
♂	69.0000000	63.49	80.01	115.21	161.01	193.73	0.2770	0.2457	1.7019
♂	70.0000000	62.23	78.51	113.50	159.45	192.51	0.2806	0.2287	1.7034
♂	71.0000000	60.85	76.89	111.63	157.72	191.12	0.2846	0.2117	1.7052
♂	72.0000000	59.41	75.20	109.70	155.94	189.72	0.2890	0.1947	1.7076
♂	73.0000000	57.97	73.51	107.79	154.24	188.43	0.2936	0.1778	1.7103
♂	74.0000000	56.58	71.88	105.97	152.70	187.37	0.2985	0.1609	1.7135
♂	75.0000000	55.26	70.35	104.30	151.40	186.64	0.3037	0.1442	1.7172
♂	76.0000000	54.03	68.92	102.79	150.36	186.25	0.3090	0.1276	1.7213
♂	77.0000000	52.89	67.61	101.44	149.56	186.19	0.3145	0.1112	1.7256
♂	78.0000000	51.82	66.38	100.22	148.97	186.42	0.3201	0.0949	1.7303
♂	79.0000000	50.82	65.23	99.10	148.56	186.90	0.3259	0.0788	1.7351
♂	80.0000000	49.87	64.14	98.05	148.26	187.56	0.3317	0.0629	1.7401
♀	0.1666667	12.85	21.45	43.01	71.17	88.65	0.4521	0.5432	1.9998
♀	0.2500000	13.01	21.67	43.35	71.66	89.26	0.4510	0.5420	1.9965
♀	0.3333333	13.20	21.94	43.75	72.26	90.00	0.4498	0.5406	1.9926
♀	0.4166667	13.43	22.24	44.22	72.94	90.85	0.4484	0.5390	1.9882
♀	0.5000000	13.68	22.59	44.75	73.70	91.79	0.4468	0.5372	1.9835
♀	0.5833333	13.96	22.97	45.33	74.55	92.84	0.4452	0.5353	1.9784
♀	0.6666667	14.27	23.39	45.97	75.47	93.97	0.4434	0.5333	1.9731
♀	0.7500000	14.60	23.84	46.65	76.46	95.19	0.4414	0.5312	1.9674
♀	0.8333333	14.95	24.32	47.39	77.51	96.50	0.4394	0.5290	1.9615
♀	0.9166667	15.33	24.83	48.17	78.64	97.88	0.4373	0.5266	1.9554
♀	1.0000000	15.74	25.38	48.99	79.82	99.35	0.4352	0.5242	1.9491
♀	2.0000000	22.40	34.17	61.84	97.85	121.41	0.4044	0.4910	1.8663
♀	5.0000000	51.78	68.42	103.78	148.87	180.31	0.3064	0.3701	1.7074
♀	6.0000000	63.19	80.36	116.73	163.54	196.67	0.2812	0.2865	1.7012
♀	7.0000000	75.31	92.65	130.71	181.04	216.68	0.2646	0.1647	1.7644
♀	8.0000000	84.68	101.57	142.27	198.94	238.08	0.2629	0.0151	1.9520
♀	14.0000000	200.12	252.57	348.61	446.08	500.61	0.2182	0.9474	1.8643
♀	15.0000000	181.45	229.71	319.59	411.33	462.24	0.2231	0.9292	1.8970
♀	16.0000000	163.13	208.46	293.85	381.34	429.65	0.2307	0.9186	1.9191
♀	17.0000000	145.56	188.88	270.95	355.27	401.79	0.2408	0.9131	1.9257
♀	18.0000000	133.04	175.49	256.04	339.08	385.09	0.2506	0.9061	1.9194
♀	19.0000000	125.16	167.00	246.57	329.08	375.14	0.2581	0.8915	1.9075
♀	20.0000000	119.50	159.80	236.93	317.66	363.13	0.2618	0.8652	1.8986
♀	21.0000000	115.73	153.65	227.13	305.09	349.39	0.2621	0.8253	1.8977
♀	22.0000000	113.65	148.85	218.36	293.39	336.38	0.2601	0.7722	1.9070
♀	23.0000000	112.46	145.18	211.31	284.11	326.14	0.2581	0.7105	1.9242
♀	24.0000000	111.59	142.29	205.94	277.53	319.15	0.2574	0.6445	1.9468
♀	25.0000000	110.58	139.44	200.84	271.42	312.75	0.2570	0.5777	1.9715
♀	26.0000000	109.12	136.13	194.96	264.02	304.76	0.2560	0.5127	1.9952
♀	27.0000000	107.59	132.80	188.81	255.80	295.60	0.2537	0.4510	2.0158
♀	28.0000000	106.47	130.02	183.14	247.66	286.26	0.2497	0.3939	2.0318
♀	29.0000000	105.88	127.97	178.30	240.19	277.48	0.2442	0.3415	2.0423
♀	30.0000000	105.70	126.54	174.38	233.75	269.78	0.2383	0.2934	2.0473
♀	31.0000000	105.83	125.67	171.36	228.53	263.48	0.2324	0.2493	2.0468
♀	32.0000000	106.17	125.20	169.12	224.42	258.51	0.2270	0.2089	2.0411
♀	33.0000000	106.61	125.02	167.49	221.25	254.70	0.2222	0.1719	2.0304
♀	34.0000000	107.05	125.00	166.28	218.82	251.85	0.2182	0.1379	2.0151
♀	35.0000000	107.34	124.92	165.23	216.78	249.55	0.2150	0.1070	1.9958
♀	36.0000000	107.30	124.59	164.07	214.79	247.44	0.2127	0.0794	1.9733
♀	37.0000000	106.79	123.86	162.59	212.59	245.21	0.2113	0.0550	1.9482
♀	38.0000000	105.78	122.65	160.72	210.10	242.78	0.2108	0.0339	1.9211
♀	39.0000000	104.25	120.96	158.45	207.32	240.16	0.2114	0.0161	1.8928
♀	40.0000000	102.20	118.79	155.78	204.27	237.37	0.2130	0.0016	1.8637
♀	41.0000000	99.71	116.19	152.77	201.00	234.48	0.2157	-0.0099	1.8346
♀	42.0000000	96.90	113.31	149.54	197.64	231.59	0.2193	-0.0186	1.8060
♀	43.0000000	93.91	110.26	146.22	194.31	228.82	0.2238	-0.0251	1.7786
♀	44.0000000	90.82	107.14	142.91	191.09	226.26	0.2289	-0.0295	1.7527
♀	45.0000000	87.73	104.03	139.66	188.03	223.91	0.2346	-0.0317	1.7291
♀	46.0000000	84.71	101.00	136.56	185.16	221.74	0.2405	-0.0315	1.7083
♀	47.0000000	81.85	98.13	133.63	182.47	219.69	0.2465	-0.0284	1.6908
♀	48.0000000	79.18	95.46	130.93	179.98	217.72	0.2522	-0.0222	1.6771
♀	49.0000000	76.76	93.03	128.48	177.68	215.78	0.2576	-0.0127	1.6673
♀	50.0000000	74.62	90.88	126.32	175.58	213.85	0.2623	0.0003	1.6615
♀	51.0000000	72.79	89.05	124.49	173.71	211.90	0.2661	0.0167	1.6599
♀	52.0000000	71.30	87.56	123.00	172.05	209.92	0.2689	0.0366	1.6623
♀	53.0000000	70.16	86.42	121.85	170.60	207.90	0.2706	0.0600	1.6689
♀	54.0000000	69.28	85.54	120.93	169.25	205.76	0.2713	0.0862	1.6791
♀	55.0000000	68.57	84.81	120.12	167.87	203.42	0.2711	0.1144	1.6924
♀	56.0000000	67.93	84.12	119.28	166.35	200.81	0.2704	0.1439	1.7082
♀	57.0000000	67.28	83.38	118.34	164.60	197.88	0.2692	0.1741	1.7261
♀	58.0000000	66.56	82.54	117.20	162.55	194.59	0.2678	0.2044	1.7456
♀	59.0000000	65.78	81.59	115.89	160.27	191.06	0.2663	0.2342	1.7666
♀	60.0000000	64.95	80.57	114.46	157.85	187.42	0.2648	0.2627	1.7888
♀	61.0000000	64.09	79.49	112.96	155.38	183.78	0.2633	0.2895	1.8122
♀	62.0000000	63.20	78.38	111.41	152.92	180.24	0.2620	0.3141	1.8366
♀	63.0000000	62.31	77.25	109.86	150.52	176.87	0.2610	0.3360	1.8618
♀	64.0000000	61.41	76.12	108.33	148.24	173.72	0.2603	0.3550	1.8879
♀	65.0000000	60.52	74.99	106.84	146.09	170.80	0.2600	0.3712	1.9147
♀	66.0000000	59.64	73.87	105.41	144.10	168.14	0.2600	0.3845	1.9422
♀	67.0000000	58.77	72.78	104.03	142.27	165.74	0.2604	0.3951	1.9703
♀	68.0000000	57.92	71.72	102.74	140.63	163.62	0.2611	0.4029	1.9989
♀	69.0000000	57.08	70.69	101.53	139.18	161.78	0.2623	0.4081	2.0281
♀	70.0000000	56.27	69.69	100.40	137.91	160.22	0.2639	0.4109	2.0577
♀	71.0000000	55.47	68.71	99.34	136.80	158.89	0.2658	0.4115	2.0876
♀	72.0000000	54.67	67.75	98.33	135.82	157.75	0.2681	0.4105	2.1179
♀	73.0000000	53.89	66.81	97.37	134.95	156.76	0.2707	0.4081	2.1485
♀	74.0000000	53.10	65.88	96.44	134.17	155.91	0.2735	0.4046	2.1793
♀	75.0000000	52.32	64.95	95.54	133.45	155.15	0.2766	0.4003	2.2102
♀	76.0000000	51.53	64.03	94.66	132.79	154.48	0.2798	0.3954	2.2412
♀	77.0000000	50.75	63.11	93.79	132.18	153.88	0.2833	0.3902	2.2723
♀	78.0000000	49.98	62.21	92.95	131.61	153.35	0.2869	0.3846	2.3034
♀	79.0000000	49.21	61.32	92.13	131.09	152.88	0.2906	0.3787	2.3346
♀	80.0000000	48.46	60.45	91.34	130.61	152.47	0.2944	0.3727	2.3659

life_liver.ref

Citations

• Bussler et al, New pediatric percentiles of liver enzyme serum levels (ALT, AST, GGT): effects of age, sex, BMI and pubertal stage, Hepatology 2017

ALAT_NW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.9166667	12.86	15.67	21.22	29.95	39.68	0.2674	-0.3988	1.2746
♂	1.0000000	12.73	15.53	21.05	29.74	39.40	0.2682	-0.3914	1.2738
♂	2.0000000	11.34	14.02	19.28	27.43	36.32	0.2778	-0.3053	1.2691
♂	5.0000000	9.72	12.22	17.16	24.49	31.77	0.2865	-0.1372	1.3252
♂	6.0000000	9.77	12.20	17.06	24.30	31.39	0.2828	-0.1557	1.3537
♂	7.0000000	9.96	12.27	17.01	24.14	31.02	0.2759	-0.2027	1.4000
♂	8.0000000	10.25	12.45	17.08	24.11	30.79	0.2676	-0.2601	1.4514
♀	0.9166667	10.82	14.62	20.42	27.09	32.74	0.2576	0.5395	1.1837
♀	1.0000000	10.79	14.53	20.26	26.87	32.45	0.2565	0.5344	1.1898
♀	2.0000000	10.43	13.57	18.62	24.51	29.30	0.2441	0.4797	1.2670
♀	5.0000000	10.35	12.82	17.18	22.29	26.06	0.2233	0.4258	1.4543
♀	6.0000000	10.36	12.88	17.41	22.79	26.77	0.2302	0.3989	1.4677
♀	7.0000000	10.25	12.85	17.63	23.50	27.98	0.2439	0.3214	1.4590
♀	8.0000000	10.15	12.77	17.74	24.19	29.42	0.2595	0.1846	1.4371

ASAT_NW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.9166667	34.89	39.38	47.61	59.11	70.27	0.1667	-0.6430	1.3145
♂	1.0000000	34.60	39.04	47.20	58.57	69.57	0.1664	-0.6421	1.3184
♂	2.0000000	31.58	35.47	42.74	52.81	62.17	0.1623	-0.6331	1.3680
♂	5.0000000	27.08	30.24	36.39	44.76	51.91	0.1580	-0.5659	1.4814
♂	6.0000000	25.99	29.10	35.18	43.43	50.44	0.1613	-0.5248	1.4897
♂	7.0000000	24.83	27.91	33.96	42.14	49.00	0.1659	-0.4649	1.5052
♂	8.0000000	23.83	26.87	32.90	40.99	47.59	0.1696	-0.3920	1.5372
♀	0.9166667	33.95	37.68	46.45	57.61	64.42	0.1646	-0.1328	2.1287
♀	1.0000000	33.72	37.41	46.06	57.02	63.69	0.1635	-0.1231	2.1305
♀	2.0000000	31.16	34.39	41.82	50.89	56.20	0.1519	-0.0150	2.1551
♀	5.0000000	27.40	30.10	36.20	43.57	47.92	0.1436	-0.0270	2.1130
♀	6.0000000	26.68	29.29	35.10	42.32	46.86	0.1435	-0.1854	1.9941
♀	7.0000000	25.69	28.26	33.81	40.99	45.94	0.1461	-0.3810	1.8435
♀	8.0000000	24.69	27.25	32.69	40.03	45.59	0.1520	-0.5496	1.7169

GGT_NW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.9166667	5.67	6.99	9.37	12.21	14.35	0.2257	0.3540	1.4631
♂	1.0000000	5.68	7.01	9.39	12.25	14.40	0.2260	0.3499	1.4562
♂	2.0000000	5.83	7.23	9.69	12.68	15.05	0.2294	0.3003	1.3771
♂	5.0000000	6.32	7.95	10.64	14.07	17.24	0.2400	0.1514	1.1943
♂	6.0000000	6.50	8.20	10.98	14.57	18.05	0.2436	0.1018	1.1543
♂	7.0000000	6.69	8.46	11.33	15.11	18.90	0.2473	0.0522	1.1276
♂	8.0000000	6.90	8.71	11.69	15.68	19.79	0.2511	0.0026	1.1148
♀	0.9166667	5.44	7.05	9.46	12.29	14.83	0.2358	0.4102	1.1322
♀	1.0000000	5.46	7.07	9.48	12.33	14.87	0.2354	0.4099	1.1343
♀	2.0000000	5.70	7.32	9.78	12.67	15.22	0.2316	0.4063	1.1601
♀	5.0000000	6.25	7.86	10.43	13.45	15.97	0.2233	0.3956	1.2431
♀	6.0000000	6.47	8.10	10.74	13.85	16.39	0.2220	0.3920	1.2733
♀	7.0000000	6.67	8.33	11.05	14.27	16.85	0.2218	0.3884	1.3050
♀	8.0000000	6.90	8.59	11.43	14.79	17.44	0.2225	0.3848	1.3381

life_thyr.ref

Citations

• Surup H, Vogel M, Koerner A, et al. Pediatric Reference Intervals for Thyrotropin, Free Triiodothyronine, and Free Thyroxine and the Relevance of Body Mass Index and Puberty in Measurement Interpretation. Thyroid [Internet] 2021;Available from: 10.1089/thy.2020.0780

TSH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	1.32	1.82	3.28	6.22	9.29	0.4847	-0.1416	1.7321
♂	0.2500000	1.31	1.81	3.25	6.15	9.15	0.4837	-0.1333	1.7318
♂	0.3333333	1.30	1.79	3.23	6.08	9.01	0.4827	-0.1249	1.7315
♂	0.4166667	1.29	1.78	3.20	6.01	8.87	0.4817	-0.1166	1.7312
♂	0.5000000	1.27	1.76	3.17	5.94	8.74	0.4806	-0.1083	1.7309
♂	0.5833333	1.26	1.75	3.14	5.87	8.60	0.4796	-0.1000	1.7307
♂	0.6666667	1.25	1.73	3.12	5.80	8.47	0.4786	-0.0917	1.7305
♂	0.7500000	1.23	1.72	3.09	5.73	8.35	0.4775	-0.0834	1.7304
♂	0.8333333	1.22	1.70	3.06	5.67	8.22	0.4765	-0.0752	1.7303
♂	0.9166667	1.21	1.69	3.04	5.60	8.10	0.4754	-0.0670	1.7303
♂	1.0000000	1.20	1.67	3.01	5.54	7.98	0.4743	-0.0588	1.7304
♂	2.0000000	1.08	1.53	2.75	4.89	6.79	0.4602	0.0352	1.7384
♂	5.0000000	0.98	1.41	2.51	4.17	5.42	0.4258	0.2395	1.8053
♂	6.0000000	0.97	1.42	2.54	4.18	5.39	0.4230	0.2878	1.7893
♂	7.0000000	0.96	1.43	2.58	4.21	5.43	0.4236	0.3310	1.7383
♂	8.0000000	0.93	1.43	2.59	4.23	5.45	0.4261	0.3691	1.6595
♂	17.0000000	0.83	1.16	2.16	3.82	5.02	0.4601	0.1318	2.1285
♂	18.0000000	0.85	1.16	2.19	3.97	5.20	0.4731	0.1033	2.3971
♀	0.1666667	1.10	1.66	3.16	5.59	7.57	0.4780	0.1969	1.7449
♀	0.2500000	1.09	1.65	3.13	5.53	7.48	0.4764	0.1986	1.7424
♀	0.3333333	1.09	1.64	3.11	5.48	7.40	0.4748	0.2004	1.7401
♀	0.4166667	1.08	1.63	3.08	5.42	7.32	0.4732	0.2021	1.7377
♀	0.5000000	1.08	1.62	3.06	5.37	7.24	0.4717	0.2038	1.7354
♀	0.5833333	1.07	1.61	3.04	5.32	7.16	0.4701	0.2055	1.7331
♀	0.6666667	1.06	1.60	3.01	5.26	7.09	0.4685	0.2071	1.7309
♀	0.7500000	1.06	1.59	2.99	5.21	7.01	0.4670	0.2088	1.7287
♀	0.8333333	1.05	1.59	2.97	5.16	6.94	0.4655	0.2104	1.7266
♀	0.9166667	1.05	1.58	2.94	5.11	6.86	0.4639	0.2119	1.7245
♀	1.0000000	1.04	1.57	2.92	5.06	6.79	0.4624	0.2134	1.7225
♀	2.0000000	0.99	1.48	2.69	4.56	6.06	0.4456	0.2267	1.7056
♀	5.0000000	1.02	1.44	2.49	4.11	5.36	0.4128	0.1847	1.7881
♀	6.0000000	1.06	1.46	2.51	4.14	5.38	0.4085	0.1544	1.8370
♀	7.0000000	1.08	1.47	2.51	4.15	5.40	0.4067	0.1272	1.8794
♀	8.0000000	1.08	1.46	2.50	4.13	5.38	0.4062	0.1062	1.9138
♀	17.0000000	0.79	1.10	1.97	3.43	4.60	0.4467	0.0907	1.9012
♀	18.0000000	0.75	1.06	1.91	3.36	4.52	0.4525	0.0902	1.8845

FT3

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	5.62	6.17	7.13	8.06	8.58	0.1047	1.1625	1.8025
♂	0.2500000	5.61	6.16	7.11	8.05	8.58	0.1049	1.1472	1.7986
♂	0.3333333	5.60	6.15	7.10	8.04	8.57	0.1051	1.1320	1.7947
♂	0.4166667	5.59	6.14	7.09	8.03	8.56	0.1053	1.1167	1.7909
♂	0.5000000	5.58	6.12	7.08	8.02	8.55	0.1055	1.1013	1.7870
♂	0.5833333	5.57	6.11	7.06	8.00	8.54	0.1057	1.0859	1.7832
♂	0.6666667	5.56	6.10	7.05	7.99	8.53	0.1058	1.0705	1.7794
♂	0.7500000	5.55	6.09	7.04	7.98	8.52	0.1060	1.0550	1.7756
♂	0.8333333	5.54	6.08	7.03	7.97	8.51	0.1062	1.0395	1.7718
♂	0.9166667	5.53	6.07	7.02	7.96	8.50	0.1064	1.0239	1.7680
♂	1.0000000	5.52	6.06	7.01	7.95	8.49	0.1066	1.0082	1.7642
♂	2.0000000	5.42	5.95	6.87	7.82	8.39	0.1081	0.8141	1.7202
♂	5.0000000	5.36	5.83	6.67	7.61	8.24	0.1066	0.1749	1.6092
♂	6.0000000	5.37	5.82	6.65	7.59	8.23	0.1060	-0.0058	1.5958
♂	7.0000000	5.36	5.80	6.61	7.55	8.20	0.1053	-0.1371	1.5956
♂	8.0000000	5.34	5.77	6.56	7.48	8.13	0.1042	-0.2176	1.6035
♂	17.0000000	4.96	5.44	6.26	7.11	7.66	0.1070	0.6056	1.5896
♂	18.0000000	4.81	5.28	6.06	6.87	7.38	0.1050	0.7791	1.5811
♀	0.1666667	5.44	5.93	6.86	7.81	8.30	0.1068	0.9273	2.0324
♀	0.2500000	5.43	5.92	6.86	7.81	8.31	0.1073	0.9160	2.0144
♀	0.3333333	5.42	5.92	6.86	7.81	8.32	0.1077	0.9046	1.9966
♀	0.4166667	5.42	5.91	6.85	7.81	8.33	0.1082	0.8932	1.9790
♀	0.5000000	5.41	5.91	6.85	7.81	8.33	0.1087	0.8817	1.9616
♀	0.5833333	5.40	5.90	6.85	7.81	8.34	0.1091	0.8701	1.9443
♀	0.6666667	5.39	5.90	6.85	7.81	8.35	0.1096	0.8584	1.9273
♀	0.7500000	5.39	5.89	6.85	7.82	8.35	0.1100	0.8467	1.9104
♀	0.8333333	5.38	5.89	6.84	7.82	8.36	0.1105	0.8348	1.8937
♀	0.9166667	5.37	5.89	6.84	7.82	8.37	0.1109	0.8229	1.8772
♀	1.0000000	5.36	5.88	6.84	7.82	8.37	0.1114	0.8108	1.8609
♀	2.0000000	5.28	5.83	6.80	7.82	8.45	0.1163	0.6547	1.6813
♀	5.0000000	5.22	5.78	6.70	7.74	8.54	0.1198	0.1095	1.3713
♀	6.0000000	5.26	5.80	6.68	7.69	8.49	0.1162	-0.0472	1.3427
♀	7.0000000	5.33	5.83	6.67	7.64	8.42	0.1111	-0.1648	1.3516
♀	8.0000000	5.39	5.87	6.67	7.61	8.33	0.1060	-0.2353	1.3991
♀	17.0000000	3.85	4.42	5.40	6.39	6.98	0.1450	0.9255	1.6786
♀	18.0000000	3.63	4.23	5.27	6.30	6.92	0.1560	0.9778	1.6993

FT4

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	5.62	6.17	7.13	8.06	8.58	0.1047	1.1625	1.8025
♂	0.2500000	5.61	6.16	7.11	8.05	8.58	0.1049	1.1472	1.7986
♂	0.3333333	5.60	6.15	7.10	8.04	8.57	0.1051	1.1320	1.7947
♂	0.4166667	5.59	6.14	7.09	8.03	8.56	0.1053	1.1167	1.7909
♂	0.5000000	5.58	6.12	7.08	8.02	8.55	0.1055	1.1013	1.7870
♂	0.5833333	5.57	6.11	7.06	8.00	8.54	0.1057	1.0859	1.7832
♂	0.6666667	5.56	6.10	7.05	7.99	8.53	0.1058	1.0705	1.7794
♂	0.7500000	5.55	6.09	7.04	7.98	8.52	0.1060	1.0550	1.7756
♂	0.8333333	5.54	6.08	7.03	7.97	8.51	0.1062	1.0395	1.7718
♂	0.9166667	5.53	6.07	7.02	7.96	8.50	0.1064	1.0239	1.7680
♂	1.0000000	5.52	6.06	7.01	7.95	8.49	0.1066	1.0082	1.7642
♂	2.0000000	5.42	5.95	6.87	7.82	8.39	0.1081	0.8141	1.7202
♂	5.0000000	5.36	5.83	6.67	7.61	8.24	0.1066	0.1749	1.6092
♂	6.0000000	5.37	5.82	6.65	7.59	8.23	0.1060	-0.0058	1.5958
♂	7.0000000	5.36	5.80	6.61	7.55	8.20	0.1053	-0.1371	1.5956
♂	8.0000000	5.34	5.77	6.56	7.48	8.13	0.1042	-0.2176	1.6035
♂	17.0000000	4.96	5.44	6.26	7.11	7.66	0.1070	0.6056	1.5896
♂	18.0000000	4.81	5.28	6.06	6.87	7.38	0.1050	0.7791	1.5811
♀	0.1666667	5.44	5.93	6.86	7.81	8.30	0.1068	0.9273	2.0324
♀	0.2500000	5.43	5.92	6.86	7.81	8.31	0.1073	0.9160	2.0144
♀	0.3333333	5.42	5.92	6.86	7.81	8.32	0.1077	0.9046	1.9966
♀	0.4166667	5.42	5.91	6.85	7.81	8.33	0.1082	0.8932	1.9790
♀	0.5000000	5.41	5.91	6.85	7.81	8.33	0.1087	0.8817	1.9616
♀	0.5833333	5.40	5.90	6.85	7.81	8.34	0.1091	0.8701	1.9443
♀	0.6666667	5.39	5.90	6.85	7.81	8.35	0.1096	0.8584	1.9273
♀	0.7500000	5.39	5.89	6.85	7.82	8.35	0.1100	0.8467	1.9104
♀	0.8333333	5.38	5.89	6.84	7.82	8.36	0.1105	0.8348	1.8937
♀	0.9166667	5.37	5.89	6.84	7.82	8.37	0.1109	0.8229	1.8772
♀	1.0000000	5.36	5.88	6.84	7.82	8.37	0.1114	0.8108	1.8609
♀	2.0000000	5.28	5.83	6.80	7.82	8.45	0.1163	0.6547	1.6813
♀	5.0000000	5.22	5.78	6.70	7.74	8.54	0.1198	0.1095	1.3713
♀	6.0000000	5.26	5.80	6.68	7.69	8.49	0.1162	-0.0472	1.3427
♀	7.0000000	5.33	5.83	6.67	7.64	8.42	0.1111	-0.1648	1.3516
♀	8.0000000	5.39	5.87	6.67	7.61	8.33	0.1060	-0.2353	1.3991
♀	17.0000000	3.85	4.42	5.40	6.39	6.98	0.1450	0.9255	1.6786
♀	18.0000000	3.63	4.23	5.27	6.30	6.92	0.1560	0.9778	1.6993

lipids.ref

Citations

• Dathan-Stumpf, A. et al. Pediatric reference data of serum lipids and prevalence of dyslipidemia: Results from a population-based cohort in Germany. Clinical Biochemistry 49, 740-749 (2016).
• Dathan-Stumpf, A. et al. Serum lipid levels were related to socio-demographic characteristics in a German population-based child cohort. Acta Paediatr 105, e360-e367 (2016).

HDL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	0.58	0.74	1.10	1.54	1.84	0.2859	0.3461	1.8483
♂	0.2500000	0.59	0.75	1.10	1.55	1.84	0.2843	0.3480	1.8508
♂	0.3333334	0.59	0.75	1.10	1.55	1.84	0.2827	0.3499	1.8534
♂	0.4166667	0.60	0.76	1.11	1.55	1.84	0.2811	0.3517	1.8559
♂	0.5000000	0.60	0.76	1.11	1.56	1.85	0.2795	0.3536	1.8585
♂	0.5833334	0.61	0.77	1.12	1.56	1.85	0.2780	0.3553	1.8611
♂	0.6666667	0.61	0.77	1.12	1.56	1.85	0.2764	0.3570	1.8637
♂	0.7500000	0.62	0.78	1.13	1.57	1.85	0.2749	0.3586	1.8663
♂	0.8333334	0.62	0.78	1.13	1.57	1.86	0.2733	0.3602	1.8689
♂	0.9166667	0.63	0.79	1.14	1.58	1.86	0.2718	0.3617	1.8716
♀	0.1666667	0.61	0.78	1.18	1.67	1.98	0.2943	0.4078	1.9791
♀	0.2500000	0.61	0.79	1.18	1.67	1.97	0.2919	0.4125	1.9765
♀	0.3333334	0.61	0.79	1.18	1.66	1.96	0.2895	0.4172	1.9742
♀	0.4166667	0.62	0.79	1.17	1.65	1.95	0.2871	0.4219	1.9720
♀	0.5000000	0.62	0.79	1.17	1.65	1.94	0.2848	0.4265	1.9700
♀	0.5833334	0.62	0.79	1.17	1.64	1.93	0.2825	0.4310	1.9682
♀	0.6666667	0.62	0.79	1.17	1.64	1.92	0.2802	0.4355	1.9666
♀	0.7500000	0.63	0.80	1.17	1.63	1.91	0.2780	0.4400	1.9651
♀	0.8333334	0.63	0.80	1.17	1.63	1.90	0.2758	0.4444	1.9637
♀	0.9166667	0.63	0.80	1.17	1.62	1.90	0.2736	0.4487	1.9626

LDL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	1.00	1.40	2.12	2.91	3.42	0.2855	0.7527	1.6016
♂	0.2500000	1.00	1.40	2.12	2.91	3.42	0.2844	0.7487	1.5999
♂	0.3333334	1.01	1.41	2.13	2.91	3.43	0.2834	0.7447	1.5983
♂	0.4166667	1.02	1.42	2.13	2.92	3.43	0.2823	0.7407	1.5968
♂	0.5000000	1.02	1.42	2.14	2.92	3.43	0.2813	0.7366	1.5953
♂	0.5833334	1.03	1.43	2.14	2.92	3.44	0.2803	0.7326	1.5938
♂	0.6666667	1.04	1.43	2.15	2.93	3.44	0.2793	0.7286	1.5924
♂	0.7500000	1.05	1.44	2.15	2.93	3.44	0.2783	0.7245	1.5910
♂	0.8333334	1.05	1.45	2.15	2.93	3.45	0.2774	0.7205	1.5897
♂	0.9166667	1.06	1.45	2.16	2.94	3.45	0.2764	0.7165	1.5884
♀	0.1666667	1.22	1.57	2.35	3.33	3.95	0.2926	0.3790	1.9101
♀	0.2500000	1.23	1.57	2.35	3.33	3.96	0.2919	0.3796	1.9100
♀	0.3333334	1.23	1.58	2.36	3.34	3.96	0.2911	0.3802	1.9099
♀	0.4166667	1.24	1.58	2.36	3.34	3.97	0.2904	0.3808	1.9098
♀	0.5000000	1.24	1.59	2.37	3.35	3.97	0.2896	0.3814	1.9098
♀	0.5833334	1.25	1.60	2.37	3.35	3.97	0.2889	0.3821	1.9097
♀	0.6666667	1.25	1.60	2.38	3.36	3.98	0.2881	0.3827	1.9097
♀	0.7500000	1.26	1.61	2.38	3.36	3.98	0.2873	0.3833	1.9097
♀	0.8333334	1.26	1.61	2.39	3.36	3.98	0.2866	0.3839	1.9097
♀	0.9166667	1.27	1.62	2.39	3.37	3.99	0.2858	0.3845	1.9097

TRIG

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	0.66	0.89	1.69	3.61	5.54	0.5377	-0.2236	2.2063
♂	0.2500000	0.65	0.86	1.64	3.49	5.36	0.5362	-0.2250	2.1961
♂	0.3333334	0.63	0.84	1.59	3.38	5.19	0.5347	-0.2264	2.1861
♂	0.4166667	0.61	0.81	1.54	3.27	5.02	0.5331	-0.2278	2.1762
♂	0.5000000	0.59	0.79	1.50	3.16	4.86	0.5316	-0.2292	2.1664
♂	0.5833334	0.58	0.77	1.45	3.06	4.70	0.5300	-0.2306	2.1568
♂	0.6666667	0.56	0.75	1.41	2.96	4.55	0.5284	-0.2319	2.1472
♂	0.7500000	0.55	0.73	1.37	2.87	4.41	0.5268	-0.2333	2.1378
♂	0.8333334	0.53	0.71	1.33	2.78	4.27	0.5252	-0.2347	2.1285
♂	0.9166667	0.52	0.69	1.29	2.69	4.14	0.5236	-0.2361	2.1193
♀	0.1666667	0.73	0.98	1.76	3.53	5.60	0.5023	-0.2667	1.8051
♀	0.2500000	0.71	0.95	1.71	3.44	5.46	0.5010	-0.2686	1.8068
♀	0.3333334	0.69	0.93	1.67	3.35	5.31	0.4997	-0.2704	1.8086
♀	0.4166667	0.68	0.91	1.63	3.27	5.17	0.4984	-0.2723	1.8103
♀	0.5000000	0.67	0.89	1.59	3.19	5.04	0.4971	-0.2741	1.8121
♀	0.5833334	0.65	0.87	1.56	3.10	4.90	0.4958	-0.2760	1.8138
♀	0.6666667	0.64	0.85	1.52	3.02	4.77	0.4945	-0.2778	1.8156
♀	0.7500000	0.62	0.83	1.48	2.95	4.65	0.4932	-0.2796	1.8174
♀	0.8333334	0.61	0.81	1.45	2.87	4.52	0.4919	-0.2815	1.8192
♀	0.9166667	0.60	0.79	1.41	2.80	4.40	0.4906	-0.2833	1.8210

CHOL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	2.35	2.86	3.74	4.67	5.24	0.1929	0.8126	1.6640
♂	0.2500000	2.36	2.87	3.75	4.67	5.24	0.1918	0.8062	1.6631
♂	0.3333334	2.38	2.88	3.75	4.67	5.24	0.1907	0.7997	1.6623
♂	0.4166667	2.39	2.89	3.76	4.67	5.24	0.1896	0.7932	1.6616
♂	0.5000000	2.40	2.89	3.76	4.67	5.24	0.1885	0.7867	1.6609
♂	0.5833334	2.41	2.90	3.77	4.67	5.24	0.1874	0.7803	1.6603
♂	0.6666667	2.42	2.91	3.77	4.68	5.24	0.1864	0.7738	1.6598
♂	0.7500000	2.44	2.92	3.78	4.68	5.24	0.1853	0.7673	1.6593
♂	0.8333334	2.45	2.93	3.78	4.68	5.24	0.1843	0.7608	1.6589
♂	0.9166667	2.46	2.94	3.79	4.68	5.24	0.1832	0.7543	1.6585
♀	0.1666667	2.77	3.17	4.12	5.20	5.78	0.1896	0.4373	2.2925
♀	0.2500000	2.77	3.18	4.12	5.20	5.78	0.1891	0.4371	2.2755
♀	0.3333334	2.77	3.18	4.12	5.20	5.78	0.1885	0.4369	2.2589
♀	0.4166667	2.78	3.19	4.12	5.20	5.78	0.1880	0.4366	2.2429
♀	0.5000000	2.78	3.19	4.13	5.20	5.78	0.1874	0.4364	2.2273
♀	0.5833334	2.79	3.20	4.13	5.20	5.78	0.1869	0.4361	2.2121
♀	0.6666667	2.79	3.20	4.13	5.19	5.78	0.1863	0.4359	2.1974
♀	0.7500000	2.79	3.21	4.13	5.19	5.78	0.1858	0.4357	2.1832
♀	0.8333334	2.80	3.21	4.14	5.19	5.77	0.1852	0.4354	2.1693
♀	0.9166667	2.80	3.22	4.14	5.19	5.77	0.1847	0.4352	2.1559

APOA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	0.98	1.12	1.36	1.63	1.81	0.1511	0.5498	1.6079
♂	0.2500000	0.97	1.11	1.35	1.61	1.79	0.1509	0.5546	1.6119
♂	0.3333334	0.96	1.09	1.33	1.60	1.77	0.1508	0.5594	1.6160
♂	0.4166667	0.95	1.08	1.32	1.58	1.75	0.1506	0.5641	1.6201
♂	0.5000000	0.94	1.07	1.31	1.57	1.73	0.1505	0.5688	1.6242
♂	0.5833334	0.93	1.06	1.30	1.55	1.71	0.1503	0.5733	1.6283
♂	0.6666667	0.92	1.05	1.29	1.54	1.70	0.1502	0.5777	1.6324
♂	0.7500000	0.91	1.04	1.27	1.52	1.68	0.1500	0.5820	1.6366
♂	0.8333334	0.91	1.04	1.27	1.51	1.67	0.1499	0.5862	1.6408
♂	0.9166667	0.90	1.03	1.26	1.50	1.66	0.1497	0.5902	1.6450
♀	0.1666667	0.95	1.14	1.40	1.67	1.87	0.1582	0.9121	1.2955
♀	0.2500000	0.94	1.13	1.39	1.66	1.85	0.1577	0.9053	1.3009
♀	0.3333334	0.94	1.12	1.38	1.64	1.83	0.1571	0.8985	1.3063
♀	0.4166667	0.93	1.11	1.36	1.62	1.81	0.1566	0.8917	1.3118
♀	0.5000000	0.92	1.10	1.35	1.61	1.79	0.1560	0.8849	1.3173
♀	0.5833334	0.92	1.09	1.34	1.59	1.78	0.1555	0.8781	1.3229
♀	0.6666667	0.91	1.08	1.33	1.58	1.76	0.1550	0.8713	1.3284
♀	0.7500000	0.91	1.07	1.32	1.57	1.75	0.1544	0.8645	1.3340
♀	0.8333334	0.90	1.07	1.31	1.56	1.73	0.1539	0.8577	1.3396
♀	0.9166667	0.90	1.06	1.30	1.54	1.72	0.1534	0.8509	1.3453

APOB

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	0.39	0.53	0.76	1.01	1.16	0.2542	0.8887	1.6387
♂	0.2500000	0.39	0.53	0.76	1.01	1.16	0.2528	0.8846	1.6355
♂	0.3333334	0.39	0.53	0.76	1.01	1.16	0.2515	0.8805	1.6322
♂	0.4166667	0.39	0.53	0.76	1.01	1.16	0.2501	0.8765	1.6291
♂	0.5000000	0.39	0.53	0.76	1.00	1.16	0.2488	0.8724	1.6260
♂	0.5833334	0.40	0.53	0.76	1.00	1.15	0.2475	0.8684	1.6230
♂	0.6666667	0.40	0.53	0.76	1.00	1.15	0.2462	0.8643	1.6201
♂	0.7500000	0.40	0.53	0.76	1.00	1.15	0.2449	0.8602	1.6173
♂	0.8333334	0.40	0.53	0.76	1.00	1.15	0.2437	0.8562	1.6146
♂	0.9166667	0.40	0.54	0.76	1.00	1.14	0.2424	0.8521	1.6119
♀	0.1666667	0.48	0.59	0.83	1.12	1.32	0.2527	0.3371	1.7452
♀	0.2500000	0.48	0.59	0.83	1.12	1.32	0.2515	0.3381	1.7460
♀	0.3333334	0.48	0.59	0.83	1.12	1.31	0.2503	0.3390	1.7469
♀	0.4166667	0.48	0.59	0.83	1.12	1.31	0.2492	0.3400	1.7477
♀	0.5000000	0.48	0.59	0.83	1.11	1.31	0.2480	0.3410	1.7486
♀	0.5833334	0.48	0.59	0.83	1.11	1.30	0.2469	0.3420	1.7495
♀	0.6666667	0.48	0.59	0.83	1.11	1.30	0.2458	0.3430	1.7503
♀	0.7500000	0.48	0.60	0.83	1.11	1.30	0.2446	0.3439	1.7512
♀	0.8333334	0.49	0.60	0.83	1.11	1.29	0.2435	0.3449	1.7520
♀	0.9166667	0.49	0.60	0.83	1.10	1.29	0.2424	0.3459	1.7529

NONHDL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	1.44	1.79	2.57	3.52	4.08	0.2613	0.4457	2.0726
♂	0.2500000	1.44	1.79	2.57	3.52	4.08	0.2611	0.4460	2.0575
♂	0.3333333	1.44	1.79	2.57	3.52	4.07	0.2610	0.4463	2.0426
♂	0.4166667	1.44	1.79	2.57	3.51	4.07	0.2608	0.4466	2.0278
♂	0.5000000	1.44	1.79	2.57	3.51	4.07	0.2607	0.4468	2.0132
♂	0.5833333	1.44	1.79	2.57	3.51	4.07	0.2605	0.4471	1.9986
♂	0.6666667	1.44	1.79	2.57	3.51	4.07	0.2603	0.4474	1.9842
♂	0.7500000	1.44	1.79	2.57	3.50	4.07	0.2602	0.4477	1.9699
♂	0.8333333	1.44	1.79	2.57	3.50	4.07	0.2600	0.4480	1.9558
♂	0.9166667	1.44	1.79	2.57	3.50	4.07	0.2598	0.4483	1.9418
♂	1.0000000	1.43	1.79	2.56	3.49	4.06	0.2596	0.4487	1.9279
♂	2.0000000	1.42	1.79	2.54	3.45	4.03	0.2572	0.4526	1.7746
♂	5.0000000	1.40	1.78	2.50	3.35	3.96	0.2517	0.4428	1.5415
♂	6.0000000	1.40	1.78	2.50	3.35	3.96	0.2522	0.4353	1.5431
♂	7.0000000	1.39	1.77	2.50	3.36	3.97	0.2546	0.4293	1.5676
♂	8.0000000	1.39	1.77	2.51	3.40	4.02	0.2586	0.4198	1.6100
♂	17.0000000	1.35	1.62	2.31	3.31	4.01	0.2780	-0.0456	2.0048
♂	18.0000000	1.34	1.60	2.28	3.30	4.01	0.2805	-0.1039	2.0753
♀	0.1666667	1.66	2.00	2.81	3.95	4.78	0.2668	-0.0331	1.8831
♀	0.2500000	1.66	2.00	2.81	3.95	4.77	0.2665	-0.0219	1.8781
♀	0.3333333	1.66	2.00	2.81	3.95	4.76	0.2662	-0.0106	1.8731
♀	0.4166667	1.66	2.01	2.81	3.95	4.76	0.2660	0.0007	1.8682
♀	0.5000000	1.66	2.01	2.82	3.95	4.75	0.2657	0.0119	1.8633
♀	0.5833333	1.66	2.01	2.82	3.94	4.75	0.2654	0.0231	1.8584
♀	0.6666667	1.66	2.01	2.82	3.94	4.74	0.2651	0.0344	1.8537
♀	0.7500000	1.66	2.01	2.82	3.94	4.74	0.2649	0.0456	1.8490
♀	0.8333333	1.66	2.01	2.82	3.94	4.73	0.2646	0.0568	1.8444
♀	0.9166667	1.66	2.01	2.82	3.94	4.73	0.2643	0.0679	1.8398
♀	1.0000000	1.66	2.01	2.83	3.93	4.72	0.2640	0.0791	1.8353
♀	2.0000000	1.63	2.01	2.83	3.89	4.62	0.2605	0.2088	1.7893
♀	5.0000000	1.54	1.92	2.69	3.61	4.20	0.2482	0.4485	1.8007
♀	6.0000000	1.54	1.90	2.66	3.55	4.11	0.2446	0.4578	1.8611
♀	7.0000000	1.55	1.90	2.65	3.54	4.08	0.2417	0.4433	1.9318
♀	8.0000000	1.58	1.92	2.66	3.56	4.09	0.2400	0.4198	1.9958
♀	17.0000000	1.36	1.76	2.62	3.72	4.46	0.2935	0.3626	1.7656
♀	18.0000000	1.37	1.79	2.69	3.83	4.62	0.2989	0.3677	1.6984

metabolom.ref

Citations

• Hirschel, J., Vogel, M., Baber, R., Garten, A., Beuchel, C., Dietz, Y., Dittrich, J., Körner, A., Kiess, W., & Ceglarek, U. (2020). Relation of Whole Blood Amino Acid and Acylcarnitine Metabolome to Age, Sex, BMI, Puberty, and Metabolic Markers in Children and Adolescents. Metabolites, 10(4), 149. https://doi.org/10.3390/metabo10040149

ABA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	5.01	7.06	13.12	23.61	31.86	0.4708	0.0877
♂	0.2500000	5.05	7.12	13.21	23.67	31.82	0.4682	0.0965
♂	0.3333333	5.09	7.18	13.30	23.72	31.79	0.4657	0.1053
♂	0.4166667	5.14	7.24	13.39	23.78	31.76	0.4631	0.1141
♂	0.5000000	5.18	7.31	13.48	23.84	31.74	0.4606	0.1228
♂	0.5833333	5.22	7.37	13.58	23.90	31.73	0.4581	0.1314
♂	0.6666667	5.27	7.43	13.67	23.96	31.71	0.4557	0.1400
♂	0.7500000	5.31	7.50	13.76	24.03	31.71	0.4532	0.1486
♂	0.8333333	5.35	7.56	13.86	24.09	31.70	0.4508	0.1570
♂	0.9166667	5.40	7.63	13.95	24.16	31.70	0.4485	0.1654
♂	1.0000000	5.44	7.69	14.05	24.23	31.71	0.4461	0.1738
♂	2.0000000	6.00	8.50	15.20	25.15	32.04	0.4205	0.2642
♂	5.0000000	7.73	10.73	18.18	28.24	34.72	0.3734	0.3740
♂	6.0000000	8.12	11.20	18.84	29.17	35.85	0.3699	0.3644
♂	7.0000000	8.41	11.55	19.41	30.16	37.16	0.3711	0.3417
♂	8.0000000	8.66	11.85	19.94	31.20	38.65	0.3750	0.3115
♂	17.0000000	9.01	12.77	21.22	31.26	37.17	0.3408	0.6077
♂	18.0000000	9.18	13.21	21.93	31.92	37.65	0.3340	0.6899
♀	0.1666667	4.89	7.58	14.51	23.99	30.09	0.4396	0.4458
♀	0.2500000	4.98	7.67	14.61	24.10	30.22	0.4373	0.4408
♀	0.3333333	5.07	7.77	14.71	24.22	30.36	0.4349	0.4358
♀	0.4166667	5.16	7.86	14.80	24.34	30.49	0.4325	0.4308
♀	0.5000000	5.24	7.95	14.90	24.45	30.63	0.4302	0.4258
♀	0.5833333	5.33	8.04	15.00	24.57	30.77	0.4278	0.4209
♀	0.6666667	5.42	8.14	15.10	24.69	30.90	0.4255	0.4160
♀	0.7500000	5.51	8.23	15.20	24.80	31.03	0.4232	0.4111
♀	0.8333333	5.60	8.32	15.30	24.92	31.17	0.4209	0.4062
♀	0.9166667	5.69	8.42	15.40	25.04	31.30	0.4186	0.4013
♀	1.0000000	5.79	8.51	15.50	25.15	31.43	0.4163	0.3965
♀	2.0000000	6.87	9.64	16.67	26.43	32.85	0.3898	0.3437
♀	5.0000000	8.71	11.55	18.68	28.64	35.26	0.3527	0.2632
♀	6.0000000	8.79	11.67	18.97	29.23	36.09	0.3566	0.2533
♀	7.0000000	8.82	11.77	19.32	30.02	37.24	0.3636	0.2474
♀	8.0000000	8.89	11.95	19.83	31.09	38.72	0.3713	0.2463
♀	17.0000000	7.16	10.12	18.30	30.97	40.04	0.4342	0.2101
♀	18.0000000	6.92	9.78	17.94	31.18	41.01	0.4510	0.1596

ALA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	123.96	151.20	220.95	324.63	398.86	0.2981	-0.0371
♂	0.2500000	122.85	149.89	219.17	322.26	396.14	0.2986	-0.0382
♂	0.3333333	121.75	148.59	217.40	319.91	393.45	0.2992	-0.0393
♂	0.4166667	120.67	147.31	215.65	317.59	390.79	0.2997	-0.0403
♂	0.5000000	119.61	146.04	213.93	315.31	388.17	0.3003	-0.0413
♂	0.5833333	118.55	144.79	212.23	313.05	385.58	0.3008	-0.0424
♂	0.6666667	117.52	143.57	210.56	310.83	383.02	0.3013	-0.0434
♂	0.7500000	116.50	142.36	208.91	308.63	380.51	0.3019	-0.0444
♂	0.8333333	115.50	141.17	207.30	306.48	378.03	0.3024	-0.0454
♂	0.9166667	114.52	140.01	205.71	304.36	375.59	0.3029	-0.0464
♂	1.0000000	113.56	138.86	204.14	302.28	373.20	0.3034	-0.0474
♂	2.0000000	103.77	127.18	188.05	280.61	348.16	0.3087	-0.0583
♂	5.0000000	95.47	116.98	172.73	257.05	318.31	0.3071	-0.0507
♂	6.0000000	97.36	119.51	176.14	259.86	319.39	0.3031	-0.0065
♂	7.0000000	101.09	124.35	182.67	266.11	323.70	0.2968	0.0576
♂	8.0000000	106.69	131.33	191.66	274.85	330.47	0.2879	0.1283
♂	17.0000000	149.52	178.00	247.19	342.77	407.29	0.2556	0.0134
♂	18.0000000	149.83	178.42	249.14	349.78	419.54	0.2626	-0.0477
♀	0.1666667	147.90	171.91	234.07	331.27	405.88	0.2547	-0.3606
♀	0.2500000	146.13	170.06	232.05	329.03	403.45	0.2563	-0.3532
♀	0.3333333	144.38	168.23	230.06	326.82	401.04	0.2580	-0.3458
♀	0.4166667	142.65	166.43	228.10	324.63	398.65	0.2596	-0.3384
♀	0.5000000	140.94	164.64	226.16	322.46	396.29	0.2612	-0.3310
♀	0.5833333	139.25	162.88	224.24	320.33	393.95	0.2628	-0.3236
♀	0.6666667	137.59	161.15	222.35	318.21	391.64	0.2644	-0.3163
♀	0.7500000	135.96	159.44	220.49	316.13	389.35	0.2661	-0.3089
♀	0.8333333	134.34	157.75	218.65	314.07	387.09	0.2677	-0.3016
♀	0.9166667	132.76	156.10	216.85	312.05	384.86	0.2693	-0.2944
♀	1.0000000	131.20	154.47	215.07	310.05	382.65	0.2709	-0.2871
♀	2.0000000	114.91	137.44	196.45	288.81	358.79	0.2892	-0.2042
♀	5.0000000	98.15	120.78	178.66	264.10	324.72	0.3052	0.0043
♀	6.0000000	101.25	124.90	183.95	267.72	325.08	0.2974	0.0815
♀	7.0000000	106.73	131.71	192.25	274.40	328.55	0.2860	0.1669
♀	8.0000000	113.69	140.07	202.14	282.86	334.29	0.2735	0.2498
♀	17.0000000	140.21	166.75	232.83	327.94	394.58	0.2638	-0.0761
♀	18.0000000	139.46	165.43	231.51	330.33	402.18	0.2695	-0.1623

ARG

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	13.14	18.47	32.15	51.33	64.03	0.3950	0.3318
♂	0.2500000	12.97	18.25	31.78	50.77	63.34	0.3955	0.3324
♂	0.3333333	12.80	18.02	31.42	50.21	62.65	0.3959	0.3330
♂	0.4166667	12.64	17.81	31.06	49.66	61.97	0.3963	0.3337
♂	0.5000000	12.48	17.59	30.71	49.11	61.29	0.3967	0.3343
♂	0.5833333	12.32	17.38	30.36	48.57	60.62	0.3971	0.3349
♂	0.6666667	12.17	17.17	30.01	48.03	59.96	0.3975	0.3356
♂	0.7500000	12.01	16.96	29.67	47.49	59.29	0.3978	0.3362
♂	0.8333333	11.86	16.75	29.33	46.96	58.64	0.3981	0.3368
♂	0.9166667	11.71	16.55	28.99	46.44	57.98	0.3984	0.3375
♂	1.0000000	11.57	16.35	28.66	45.91	57.33	0.3987	0.3381
♂	2.0000000	10.06	14.24	24.97	39.97	49.87	0.3984	0.3438
♂	5.0000000	8.71	11.86	19.79	30.77	38.01	0.3692	0.3117
♂	6.0000000	8.92	12.04	19.93	30.90	38.18	0.3654	0.2918
♂	7.0000000	9.24	12.44	20.55	31.91	39.47	0.3653	0.2795
♂	8.0000000	9.58	12.91	21.35	33.15	41.00	0.3657	0.2841
♂	17.0000000	11.24	14.99	23.96	35.66	43.04	0.3351	0.3838
♂	18.0000000	10.66	14.28	23.08	34.73	42.16	0.3436	0.3639
♀	0.1666667	10.59	15.59	29.13	49.23	63.04	0.4441	0.3047
♀	0.2500000	10.53	15.45	28.81	48.67	62.33	0.4432	0.3006
♀	0.3333333	10.46	15.32	28.49	48.11	61.62	0.4422	0.2965
♀	0.4166667	10.40	15.19	28.18	47.55	60.92	0.4412	0.2924
♀	0.5000000	10.33	15.06	27.87	47.01	60.23	0.4403	0.2883
♀	0.5833333	10.27	14.92	27.56	46.47	59.54	0.4393	0.2843
♀	0.6666667	10.20	14.79	27.26	45.93	58.87	0.4383	0.2803
♀	0.7500000	10.14	14.67	26.96	45.41	58.20	0.4374	0.2763
♀	0.8333333	10.07	14.54	26.67	44.88	57.54	0.4364	0.2725
♀	0.9166667	10.01	14.41	26.38	44.37	56.88	0.4354	0.2686
♀	1.0000000	9.94	14.29	26.09	43.86	56.23	0.4345	0.2648
♀	2.0000000	9.21	12.92	23.00	38.30	49.07	0.4218	0.2264
♀	5.0000000	8.86	11.85	19.60	30.80	38.45	0.3712	0.2239
♀	6.0000000	9.25	12.35	20.25	31.45	38.98	0.3629	0.2507
♀	7.0000000	9.57	12.84	21.13	32.71	40.41	0.3627	0.2799
♀	8.0000000	9.63	13.08	21.77	33.83	41.79	0.3682	0.3049
♀	17.0000000	7.97	11.36	20.16	32.63	40.93	0.4074	0.3333
♀	18.0000000	7.46	10.62	18.89	30.74	38.71	0.4108	0.3156

CIT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	12.10	15.06	23.14	36.43	46.81	0.3443	-0.1229
♂	0.2500000	12.27	15.25	23.38	36.72	47.12	0.3426	-0.1224
♂	0.3333333	12.43	15.44	23.63	37.01	47.43	0.3409	-0.1219
♂	0.4166667	12.59	15.63	23.87	37.30	47.73	0.3392	-0.1213
♂	0.5000000	12.76	15.81	24.11	37.59	48.03	0.3375	-0.1206
♂	0.5833333	12.92	16.00	24.35	37.87	48.32	0.3358	-0.1199
♂	0.6666667	13.09	16.19	24.58	38.15	48.61	0.3341	-0.1190
♂	0.7500000	13.25	16.38	24.82	38.43	48.89	0.3324	-0.1181
♂	0.8333333	13.41	16.57	25.05	38.70	49.17	0.3308	-0.1170
♂	0.9166667	13.57	16.75	25.28	38.96	49.43	0.3291	-0.1157
♂	1.0000000	13.73	16.93	25.51	39.22	49.68	0.3274	-0.1144
♂	2.0000000	15.45	18.88	27.83	41.57	51.69	0.3077	-0.0846
♂	5.0000000	18.11	21.98	31.24	43.59	51.64	0.2668	0.1555
♂	6.0000000	18.50	22.64	32.24	44.48	52.17	0.2627	0.2771
♂	7.0000000	18.63	23.12	33.24	45.59	53.09	0.2632	0.4062
♂	8.0000000	18.47	23.35	34.00	46.50	53.85	0.2658	0.5329
♂	17.0000000	17.97	23.02	33.48	44.99	51.46	0.2565	0.7128
♂	18.0000000	18.26	23.30	33.84	45.60	52.27	0.2577	0.6706
♀	0.1666667	12.12	15.04	23.21	37.24	48.74	0.3528	-0.1926
♀	0.2500000	12.32	15.27	23.47	37.53	48.99	0.3500	-0.1922
♀	0.3333333	12.52	15.49	23.75	37.81	49.24	0.3472	-0.1917
♀	0.4166667	12.73	15.72	24.02	38.09	49.48	0.3445	-0.1912
♀	0.5000000	12.93	15.95	24.29	38.37	49.73	0.3418	-0.1906
♀	0.5833333	13.13	16.18	24.56	38.65	49.97	0.3391	-0.1900
♀	0.6666667	13.34	16.41	24.83	38.93	50.22	0.3364	-0.1893
♀	0.7500000	13.54	16.63	25.10	39.21	50.45	0.3338	-0.1886
♀	0.8333333	13.75	16.86	25.37	39.48	50.68	0.3312	-0.1877
♀	0.9166667	13.95	17.09	25.63	39.74	50.91	0.3286	-0.1868
♀	1.0000000	14.16	17.31	25.89	40.00	51.13	0.3261	-0.1858
♀	2.0000000	16.38	19.77	28.66	42.55	53.02	0.2987	-0.1630
♀	5.0000000	18.98	22.84	32.10	44.61	52.88	0.2612	0.0998
♀	6.0000000	19.06	23.21	32.87	45.31	53.19	0.2604	0.2416
♀	7.0000000	19.01	23.52	33.70	46.23	53.87	0.2622	0.3831
♀	8.0000000	18.85	23.70	34.37	46.98	54.44	0.2643	0.5061
♀	17.0000000	14.75	19.57	30.10	42.39	49.57	0.2964	0.5969
♀	18.0000000	13.88	18.69	29.34	41.91	49.30	0.3094	0.5843

GLU

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	157.61	186.73	250.80	327.61	373.78	0.2186	0.3530
♂	0.2500000	155.64	184.50	247.68	322.96	367.99	0.2177	0.3727
♂	0.3333333	153.71	182.30	244.62	318.40	362.32	0.2167	0.3923
♂	0.4166667	151.81	180.13	241.60	313.92	356.78	0.2158	0.4119
♂	0.5000000	149.93	178.00	238.63	309.54	351.37	0.2148	0.4315
♂	0.5833333	148.09	175.90	235.71	305.24	346.08	0.2139	0.4510
♂	0.6666667	146.27	173.84	232.84	301.04	340.91	0.2130	0.4704
♂	0.7500000	144.49	171.81	230.03	296.93	335.87	0.2122	0.4897
♂	0.8333333	142.74	169.82	227.27	292.90	330.95	0.2113	0.5089
♂	0.9166667	141.02	167.87	224.56	288.97	326.15	0.2105	0.5280
♂	1.0000000	139.33	165.95	221.91	285.14	321.48	0.2097	0.5470
♂	2.0000000	121.78	146.05	194.57	246.18	274.63	0.2011	0.7614
♂	5.0000000	101.71	122.86	162.51	201.87	222.61	0.1896	1.0300
♂	6.0000000	102.40	123.83	164.77	206.21	228.31	0.1951	0.9525
♂	7.0000000	104.13	126.64	170.99	217.37	242.63	0.2073	0.8332
♂	8.0000000	105.99	130.11	179.27	232.61	262.39	0.2235	0.7161
♂	17.0000000	140.29	167.17	216.60	264.68	289.69	0.1754	1.1223
♂	18.0000000	146.25	172.95	221.23	267.39	291.14	0.1662	1.2088
♀	0.1666667	161.22	191.70	256.44	330.53	373.53	0.2112	0.5027
♀	0.2500000	159.49	189.64	253.64	326.80	369.23	0.2110	0.5057
♀	0.3333333	157.78	187.61	250.87	323.12	364.99	0.2108	0.5088
♀	0.4166667	156.10	185.61	248.14	319.49	360.81	0.2105	0.5118
♀	0.5000000	154.44	183.64	245.45	315.91	356.69	0.2103	0.5148
♀	0.5833333	152.81	181.69	242.80	312.39	352.63	0.2101	0.5179
♀	0.6666667	151.20	179.78	240.19	308.92	348.64	0.2098	0.5209
♀	0.7500000	149.62	177.89	237.62	305.50	344.70	0.2096	0.5239
♀	0.8333333	148.07	176.04	235.09	302.14	340.83	0.2093	0.5269
♀	0.9166667	146.54	174.22	232.60	298.83	337.03	0.2091	0.5299
♀	1.0000000	145.05	172.43	230.16	295.58	333.28	0.2088	0.5329
♀	2.0000000	129.57	153.81	204.42	261.14	293.57	0.2050	0.5671
♀	5.0000000	112.80	132.09	171.17	213.45	237.04	0.1856	0.6699
♀	6.0000000	114.36	133.84	172.95	214.83	238.03	0.1829	0.7100
♀	7.0000000	117.17	137.74	178.78	222.37	246.39	0.1849	0.7459
♀	8.0000000	120.04	142.36	186.80	233.87	259.74	0.1914	0.7667
♀	17.0000000	122.35	148.19	200.59	257.23	288.77	0.2124	0.7165
♀	18.0000000	121.19	147.43	199.41	254.09	283.98	0.2090	0.8126

GLY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	145.01	168.14	224.51	303.86	358.78	0.2307	-0.1544
♂	0.2500000	145.29	168.43	224.80	304.05	358.86	0.2303	-0.1532
♂	0.3333333	145.58	168.73	225.08	304.24	358.92	0.2299	-0.1519
♂	0.4166667	145.86	169.02	225.36	304.42	358.99	0.2294	-0.1505
♂	0.5000000	146.14	169.31	225.64	304.60	359.04	0.2290	-0.1490
♂	0.5833333	146.42	169.60	225.92	304.76	359.08	0.2285	-0.1475
♂	0.6666667	146.69	169.89	226.19	304.92	359.10	0.2281	-0.1459
♂	0.7500000	146.97	170.18	226.46	305.07	359.11	0.2276	-0.1442
♂	0.8333333	147.24	170.46	226.72	305.21	359.11	0.2271	-0.1424
♂	0.9166667	147.51	170.74	226.97	305.33	359.08	0.2267	-0.1405
♂	1.0000000	147.78	171.01	227.23	305.44	359.03	0.2262	-0.1384
♂	2.0000000	150.84	174.12	229.68	305.41	356.35	0.2192	-0.1013
♂	5.0000000	162.65	184.54	233.89	295.81	334.68	0.1841	0.0379
♂	6.0000000	167.82	188.87	235.94	294.48	331.01	0.1733	0.0183
♂	7.0000000	174.15	194.45	239.86	296.47	331.94	0.1645	-0.0454
♂	8.0000000	181.54	201.39	246.04	302.33	337.98	0.1585	-0.1393
♂	17.0000000	195.91	220.33	271.89	330.96	365.46	0.1585	0.3299
♂	18.0000000	191.69	217.48	270.21	328.12	360.83	0.1598	0.5436
♀	0.1666667	152.06	173.26	227.56	312.06	377.30	0.2279	-0.5005
♀	0.2500000	152.41	173.66	227.92	311.84	376.19	0.2268	-0.4872
♀	0.3333333	152.76	174.06	228.28	311.62	375.11	0.2258	-0.4740
♀	0.4166667	153.10	174.46	228.63	311.40	374.05	0.2247	-0.4608
♀	0.5000000	153.45	174.85	228.98	311.19	373.02	0.2237	-0.4476
♀	0.5833333	153.79	175.24	229.32	310.98	372.00	0.2226	-0.4345
♀	0.6666667	154.13	175.63	229.66	310.76	371.01	0.2216	-0.4214
♀	0.7500000	154.46	176.01	229.99	310.55	370.04	0.2205	-0.4083
♀	0.8333333	154.79	176.39	230.31	310.33	369.08	0.2195	-0.3953
♀	0.9166667	155.12	176.75	230.62	310.11	368.13	0.2185	-0.3824
♀	1.0000000	155.44	177.11	230.92	309.88	367.19	0.2175	-0.3695
♀	2.0000000	158.79	180.82	233.60	306.48	356.29	0.2056	-0.2214
♀	5.0000000	167.58	189.44	237.75	296.69	332.88	0.1750	0.1116
♀	6.0000000	170.95	192.84	240.71	298.26	333.16	0.1701	0.1545
♀	7.0000000	175.11	197.14	245.28	303.14	338.22	0.1678	0.1451
♀	8.0000000	180.23	202.39	251.20	310.62	347.06	0.1671	0.0815
♀	17.0000000	167.65	192.84	251.18	327.11	376.17	0.2062	0.0027
♀	18.0000000	156.83	182.68	242.92	321.69	372.64	0.2207	0.0521

HIS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	16.02	20.12	30.71	46.37	57.45	0.3257	0.0603
♂	0.2500000	16.06	20.20	30.88	46.64	57.75	0.3263	0.0678
♂	0.3333333	16.10	20.28	31.05	46.90	58.05	0.3270	0.0754
♂	0.4166667	16.13	20.36	31.21	47.16	58.35	0.3277	0.0830
♂	0.5000000	16.17	20.44	31.38	47.43	58.65	0.3283	0.0906
♂	0.5833333	16.21	20.51	31.55	47.69	58.95	0.3290	0.0983
♂	0.6666667	16.24	20.59	31.72	47.94	59.25	0.3296	0.1060
♂	0.7500000	16.28	20.66	31.88	48.20	59.54	0.3303	0.1137
♂	0.8333333	16.31	20.73	32.04	48.45	59.82	0.3309	0.1214
♂	0.9166667	16.34	20.81	32.21	48.71	60.11	0.3315	0.1292
♂	1.0000000	16.37	20.87	32.37	48.95	60.38	0.3321	0.1370
♂	2.0000000	16.60	21.59	34.10	51.55	63.20	0.3384	0.2320
♂	5.0000000	17.82	23.85	38.02	56.03	67.20	0.3295	0.4331
♂	6.0000000	18.82	24.97	39.27	57.20	68.21	0.3197	0.4476
♂	7.0000000	19.94	26.15	40.50	58.42	69.41	0.3104	0.4410
♂	8.0000000	21.03	27.26	41.69	59.79	70.94	0.3037	0.4183
♂	17.0000000	27.53	32.14	44.67	66.14	84.32	0.2787	-0.4879
♂	18.0000000	27.41	31.79	43.92	65.86	85.81	0.2794	-0.6227
♀	0.1666667	15.35	19.62	30.13	44.46	53.89	0.3181	0.2361
♀	0.2500000	15.43	19.74	30.28	44.63	54.04	0.3173	0.2433
♀	0.3333333	15.51	19.85	30.44	44.80	54.19	0.3165	0.2505
♀	0.4166667	15.60	19.96	30.60	44.97	54.33	0.3157	0.2578
♀	0.5000000	15.68	20.08	30.76	45.14	54.48	0.3149	0.2650
♀	0.5833333	15.76	20.19	30.92	45.31	54.63	0.3141	0.2722
♀	0.6666667	15.85	20.30	31.08	45.48	54.78	0.3133	0.2794
♀	0.7500000	15.93	20.42	31.24	45.65	54.93	0.3125	0.2866
♀	0.8333333	16.01	20.53	31.40	45.81	55.08	0.3117	0.2938
♀	0.9166667	16.10	20.64	31.56	45.98	55.23	0.3110	0.3010
♀	1.0000000	16.18	20.76	31.72	46.15	55.38	0.3102	0.3083
♀	2.0000000	17.16	22.10	33.61	48.19	57.23	0.3018	0.3903
♀	5.0000000	20.67	26.41	39.43	55.43	65.14	0.2867	0.4418
♀	6.0000000	21.78	27.55	40.87	57.61	67.96	0.2860	0.3765
♀	7.0000000	22.50	28.19	41.61	58.99	70.01	0.2870	0.2943
♀	8.0000000	22.89	28.45	41.81	59.67	71.29	0.2884	0.2139
♀	17.0000000	27.10	32.69	46.16	64.48	76.62	0.2650	0.0970
♀	18.0000000	26.75	32.09	44.77	61.61	72.59	0.2543	0.1265

LEU_ILE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	82.92	99.16	141.62	207.81	257.77	0.2881	-0.1981
♂	0.2500000	82.91	98.97	141.00	206.70	256.46	0.2867	-0.2111
♂	0.3333333	82.89	98.78	140.39	205.59	255.16	0.2853	-0.2241
♂	0.4166667	82.88	98.60	139.78	204.50	253.87	0.2839	-0.2371
♂	0.5000000	82.86	98.41	139.18	203.43	252.60	0.2825	-0.2500
♂	0.5833333	82.84	98.23	138.59	202.36	251.34	0.2811	-0.2630
♂	0.6666667	82.83	98.05	138.02	201.32	250.10	0.2798	-0.2759
♂	0.7500000	82.82	97.88	137.45	200.29	248.88	0.2784	-0.2887
♂	0.8333333	82.80	97.71	136.90	199.27	247.67	0.2770	-0.3016
♂	0.9166667	82.79	97.55	136.36	198.28	246.48	0.2756	-0.3144
♂	1.0000000	82.79	97.39	135.83	197.31	245.32	0.2742	-0.3272
♂	2.0000000	83.13	96.20	130.71	187.07	232.54	0.2574	-0.4719
♂	5.0000000	89.20	100.00	127.17	168.56	200.08	0.2020	-0.6106
♂	6.0000000	91.57	102.20	128.22	165.97	193.32	0.1881	-0.5342
♂	7.0000000	94.07	104.75	130.22	165.55	190.00	0.1780	-0.4265
♂	8.0000000	96.76	107.65	133.04	166.91	189.50	0.1708	-0.3137
♂	17.0000000	112.14	126.01	157.99	199.70	226.86	0.1796	-0.1535
♂	18.0000000	111.64	125.92	159.26	203.60	232.95	0.1874	-0.1848
♀	0.1666667	81.66	101.01	146.61	205.99	243.84	0.2773	0.2566
♀	0.2500000	81.74	100.87	146.08	205.21	243.05	0.2764	0.2415
♀	0.3333333	81.82	100.73	145.55	204.43	242.26	0.2755	0.2265
♀	0.4166667	81.89	100.60	145.03	203.66	241.48	0.2747	0.2114
♀	0.5000000	81.97	100.47	144.51	202.90	240.70	0.2738	0.1964
♀	0.5833333	82.04	100.33	144.00	202.14	239.93	0.2729	0.1814
♀	0.6666667	82.11	100.21	143.50	201.39	239.17	0.2720	0.1664
♀	0.7500000	82.18	100.08	143.01	200.65	238.41	0.2711	0.1514
♀	0.8333333	82.25	99.96	142.53	199.91	237.67	0.2702	0.1364
♀	0.9166667	82.33	99.85	142.05	199.19	236.93	0.2693	0.1215
♀	1.0000000	82.40	99.74	141.59	198.47	236.20	0.2684	0.1065
♀	2.0000000	83.62	99.00	136.91	190.73	228.01	0.2558	-0.0678
♀	5.0000000	90.05	102.14	131.89	174.98	205.90	0.2093	-0.3749
♀	6.0000000	92.04	103.74	131.99	171.83	199.71	0.1963	-0.3587
♀	7.0000000	93.98	105.55	132.91	170.10	195.28	0.1859	-0.2861
♀	8.0000000	95.91	107.61	134.59	169.87	192.89	0.1780	-0.1729
♀	17.0000000	95.92	107.67	135.42	173.04	198.46	0.1848	-0.2831
♀	18.0000000	92.82	104.24	132.04	171.75	199.98	0.1941	-0.4274

OH_PROL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	52.17	63.04	91.98	138.26	173.94	0.3058	-0.1939
♂	0.2500000	52.17	63.07	92.10	138.62	174.55	0.3067	-0.1951
♂	0.3333333	52.17	63.09	92.22	138.98	175.15	0.3075	-0.1963
♂	0.4166667	52.17	63.12	92.34	139.34	175.75	0.3084	-0.1975
♂	0.5000000	52.17	63.14	92.46	139.70	176.36	0.3092	-0.1986
♂	0.5833333	52.17	63.17	92.58	140.06	176.96	0.3100	-0.1997
♂	0.6666667	52.18	63.19	92.70	140.42	177.56	0.3109	-0.2007
♂	0.7500000	52.18	63.22	92.82	140.77	178.15	0.3117	-0.2017
♂	0.8333333	52.18	63.24	92.94	141.13	178.74	0.3125	-0.2026
♂	0.9166667	52.18	63.27	93.06	141.47	179.32	0.3133	-0.2034
♂	1.0000000	52.18	63.29	93.18	141.82	179.90	0.3141	-0.2041
♂	2.0000000	52.16	63.55	94.45	145.33	185.56	0.3219	-0.2034
♂	5.0000000	51.80	63.82	95.15	142.81	177.55	0.3142	-0.0412
♂	6.0000000	51.93	64.36	95.92	141.79	173.83	0.3081	0.0520
♂	7.0000000	52.92	66.19	99.12	145.22	176.32	0.3063	0.1426
♂	8.0000000	54.82	69.31	104.72	152.90	184.60	0.3079	0.2185
♂	17.0000000	74.07	91.04	131.27	184.21	218.28	0.2744	0.2184
♂	18.0000000	76.28	93.30	133.36	185.67	219.15	0.2680	0.2229
♀	0.1666667	55.27	66.48	96.39	144.64	182.22	0.3025	-0.2272
♀	0.2500000	55.15	66.38	96.42	144.98	182.90	0.3040	-0.2278
♀	0.3333333	55.03	66.29	96.44	145.32	183.58	0.3054	-0.2283
♀	0.4166667	54.91	66.20	96.47	145.67	184.26	0.3069	-0.2288
♀	0.5000000	54.79	66.11	96.50	146.01	184.93	0.3083	-0.2293
♀	0.5833333	54.68	66.02	96.52	146.36	185.61	0.3098	-0.2298
♀	0.6666667	54.56	65.93	96.55	146.70	186.28	0.3112	-0.2303
♀	0.7500000	54.45	65.84	96.58	147.03	186.95	0.3126	-0.2308
♀	0.8333333	54.35	65.76	96.61	147.37	187.61	0.3139	-0.2312
♀	0.9166667	54.24	65.68	96.64	147.70	188.26	0.3153	-0.2316
♀	1.0000000	54.14	65.60	96.67	148.02	188.90	0.3166	-0.2320
♀	2.0000000	53.27	64.95	97.08	151.26	195.15	0.3287	-0.2336
♀	5.0000000	53.40	65.14	96.31	145.56	182.92	0.3134	-0.1366
♀	6.0000000	54.38	66.37	97.37	144.14	178.08	0.3025	-0.0599
♀	7.0000000	56.22	68.94	101.05	147.51	179.94	0.2968	0.0276
♀	8.0000000	58.45	72.36	106.76	154.80	187.22	0.2965	0.1205
♀	17.0000000	57.25	73.26	112.24	164.81	199.07	0.3152	0.2594
♀	18.0000000	54.54	70.38	109.81	164.46	200.81	0.3301	0.2272

ORN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	43.74	55.73	84.55	122.74	147.31	0.3067	0.2830
♂	0.2500000	43.39	55.33	84.08	122.25	146.85	0.3080	0.2806
♂	0.3333333	43.05	54.94	83.61	121.77	146.39	0.3093	0.2783
♂	0.4166667	42.71	54.55	83.15	121.29	145.94	0.3105	0.2760
♂	0.5000000	42.37	54.16	82.69	120.81	145.48	0.3118	0.2736
♂	0.5833333	42.04	53.78	82.23	120.33	145.03	0.3130	0.2713
♂	0.6666667	41.71	53.40	81.77	119.86	144.58	0.3142	0.2689
♂	0.7500000	41.38	53.02	81.32	119.38	144.12	0.3154	0.2666
♂	0.8333333	41.06	52.65	80.87	118.90	143.67	0.3166	0.2642
♂	0.9166667	40.74	52.28	80.42	118.43	143.21	0.3178	0.2619
♂	1.0000000	40.43	51.92	79.98	117.95	142.75	0.3190	0.2595
♂	2.0000000	37.17	48.00	74.94	112.24	137.03	0.3303	0.2301
♂	5.0000000	36.22	45.80	70.24	105.74	130.40	0.3263	0.1060
♂	6.0000000	38.29	47.95	72.72	109.17	134.83	0.3210	0.0601
♂	7.0000000	40.27	50.14	75.70	113.92	141.27	0.3202	0.0181
♂	8.0000000	41.63	51.74	78.15	118.32	147.51	0.3227	-0.0137
♂	17.0000000	49.43	59.16	84.02	121.27	148.32	0.2799	-0.1257
♂	18.0000000	51.29	60.93	85.63	122.91	150.25	0.2734	-0.1723
♀	0.1666667	50.39	61.49	89.63	130.83	159.93	0.2946	-0.0100
♀	0.2500000	50.01	61.04	89.05	130.10	159.12	0.2952	-0.0111
♀	0.3333333	49.64	60.60	88.47	129.38	158.33	0.2959	-0.0121
♀	0.4166667	49.27	60.17	87.90	128.66	157.54	0.2965	-0.0132
♀	0.5000000	48.90	59.74	87.34	127.95	156.75	0.2972	-0.0143
♀	0.5833333	48.53	59.31	86.78	127.25	155.98	0.2978	-0.0154
♀	0.6666667	48.17	58.89	86.22	126.55	155.20	0.2985	-0.0165
♀	0.7500000	47.81	58.47	85.67	125.86	154.44	0.2991	-0.0176
♀	0.8333333	47.46	58.06	85.13	125.17	153.68	0.2997	-0.0188
♀	0.9166667	47.11	57.65	84.59	124.49	152.93	0.3004	-0.0199
♀	1.0000000	46.77	57.24	84.05	123.81	152.18	0.3010	-0.0211
♀	2.0000000	43.09	52.89	78.21	116.32	143.88	0.3075	-0.0376
♀	5.0000000	40.46	49.52	73.29	110.01	137.23	0.3113	-0.0892
♀	6.0000000	42.03	51.47	76.26	114.66	143.19	0.3124	-0.0911
♀	7.0000000	43.43	53.34	79.40	119.80	149.81	0.3156	-0.0827
♀	8.0000000	44.08	54.39	81.53	123.48	154.51	0.3198	-0.0620
♀	17.0000000	39.78	50.98	77.18	110.61	131.49	0.3002	0.3664
♀	18.0000000	36.91	48.14	73.68	105.00	123.95	0.3009	0.4733

PHE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	29.39	34.60	48.18	69.48	85.76	0.2710	-0.2880
♂	0.2500000	29.48	34.72	48.32	69.57	85.76	0.2704	-0.2800
♂	0.3333333	29.57	34.83	48.46	69.67	85.75	0.2697	-0.2720
♂	0.4166667	29.66	34.94	48.60	69.76	85.74	0.2690	-0.2640
♂	0.5000000	29.75	35.05	48.73	69.85	85.73	0.2683	-0.2560
♂	0.5833333	29.84	35.16	48.86	69.93	85.72	0.2677	-0.2480
♂	0.6666667	29.92	35.26	48.99	70.01	85.70	0.2670	-0.2401
♂	0.7500000	30.01	35.36	49.11	70.08	85.67	0.2663	-0.2321
♂	0.8333333	30.09	35.46	49.23	70.15	85.64	0.2656	-0.2241
♂	0.9166667	30.17	35.56	49.35	70.21	85.60	0.2649	-0.2161
♂	1.0000000	30.24	35.65	49.46	70.26	85.55	0.2642	-0.2081
♂	2.0000000	30.87	36.42	50.23	70.11	84.09	0.2554	-0.1129
♂	5.0000000	30.89	36.14	48.35	64.20	74.39	0.2241	0.0892
♂	6.0000000	31.10	36.25	48.04	63.05	72.54	0.2158	0.1269
♂	7.0000000	31.62	36.77	48.46	63.14	72.33	0.2108	0.1532
♂	8.0000000	32.31	37.56	49.39	64.17	73.36	0.2088	0.1721
♂	17.0000000	39.95	45.11	56.67	71.07	80.07	0.1774	0.0304
♂	18.0000000	41.61	46.68	58.08	72.41	81.44	0.1713	-0.0405
♀	0.1666667	31.95	36.97	49.95	70.32	86.04	0.2495	-0.3970
♀	0.2500000	32.03	37.05	50.04	70.45	86.22	0.2494	-0.4009
♀	0.3333333	32.11	37.13	50.13	70.57	86.39	0.2492	-0.4049
♀	0.4166667	32.18	37.21	50.22	70.70	86.56	0.2490	-0.4087
♀	0.5000000	32.26	37.28	50.31	70.81	86.72	0.2488	-0.4126
♀	0.5833333	32.33	37.36	50.39	70.92	86.87	0.2486	-0.4164
♀	0.6666667	32.40	37.43	50.47	71.03	87.02	0.2484	-0.4201
♀	0.7500000	32.47	37.50	50.54	71.13	87.15	0.2482	-0.4238
♀	0.8333333	32.54	37.57	50.61	71.22	87.28	0.2480	-0.4274
♀	0.9166667	32.60	37.63	50.68	71.31	87.39	0.2478	-0.4310
♀	1.0000000	32.66	37.69	50.73	71.38	87.49	0.2476	-0.4345
♀	2.0000000	33.10	38.07	50.97	71.46	87.54	0.2440	-0.4656
♀	5.0000000	32.29	37.07	49.00	66.63	79.47	0.2281	-0.3295
♀	6.0000000	32.31	37.21	49.17	66.07	77.83	0.2237	-0.2028
♀	7.0000000	32.63	37.77	49.96	66.42	77.38	0.2203	-0.0615
♀	8.0000000	33.08	38.47	50.97	67.14	77.51	0.2172	0.0731
♀	17.0000000	34.32	40.24	53.45	69.62	79.51	0.2135	0.2623
♀	18.0000000	33.96	40.00	53.48	69.95	80.01	0.2176	0.2808

PIPA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	24.85	33.49	60.26	112.16	158.21	0.4711	-0.0928
♂	0.2500000	24.54	33.18	59.97	111.96	158.05	0.4741	-0.0871
♂	0.3333333	24.24	32.87	59.70	111.78	157.90	0.4772	-0.0814
♂	0.4166667	23.94	32.57	59.43	111.61	157.78	0.4802	-0.0757
♂	0.5000000	23.65	32.27	59.17	111.45	157.66	0.4833	-0.0699
♂	0.5833333	23.37	31.99	58.93	111.32	157.57	0.4863	-0.0642
♂	0.6666667	23.09	31.71	58.70	111.20	157.51	0.4893	-0.0585
♂	0.7500000	22.82	31.44	58.49	111.11	157.46	0.4923	-0.0528
♂	0.8333333	22.56	31.19	58.29	111.04	157.45	0.4953	-0.0471
♂	0.9166667	22.31	30.95	58.12	111.00	157.46	0.4982	-0.0413
♂	1.0000000	22.07	30.71	57.96	110.98	157.51	0.5011	-0.0356
♂	2.0000000	19.85	28.80	57.42	112.73	160.13	0.5324	0.0336
♂	5.0000000	16.90	28.33	64.86	129.27	178.61	0.5857	0.2420
♂	6.0000000	16.15	28.57	67.98	135.06	184.72	0.5952	0.3013
♂	7.0000000	15.88	29.29	71.20	140.14	189.69	0.5960	0.3487
♂	8.0000000	16.26	30.59	74.40	144.08	192.92	0.5873	0.3850
♂	17.0000000	19.39	41.25	96.82	166.73	208.64	0.5113	0.6624
♂	18.0000000	19.67	43.05	101.60	173.52	215.98	0.5079	0.6999
♀	0.1666667	30.47	38.86	64.49	115.80	164.51	0.4231	-0.2653
♀	0.2500000	30.06	38.45	64.11	115.45	164.02	0.4262	-0.2549
♀	0.3333333	29.66	38.04	63.75	115.11	163.55	0.4293	-0.2446
♀	0.4166667	29.26	37.65	63.39	114.78	163.09	0.4325	-0.2343
♀	0.5000000	28.87	37.26	63.05	114.48	162.66	0.4357	-0.2241
♀	0.5833333	28.48	36.88	62.72	114.19	162.25	0.4388	-0.2138
♀	0.6666667	28.10	36.51	62.41	113.93	161.86	0.4420	-0.2035
♀	0.7500000	27.73	36.15	62.11	113.68	161.51	0.4452	-0.1933
♀	0.8333333	27.37	35.80	61.83	113.47	161.18	0.4484	-0.1831
♀	0.9166667	27.02	35.46	61.56	113.28	160.89	0.4516	-0.1730
♀	1.0000000	26.68	35.14	61.32	113.12	160.64	0.4548	-0.1628
♀	2.0000000	23.17	32.01	59.71	113.36	160.38	0.4932	-0.0444
♀	5.0000000	15.84	27.00	63.29	128.23	178.40	0.6008	0.2414
♀	6.0000000	14.87	27.17	67.17	136.70	188.72	0.6183	0.3012
♀	7.0000000	15.29	28.88	72.41	145.61	198.88	0.6156	0.3415
♀	8.0000000	16.75	31.56	77.80	153.20	206.93	0.5998	0.3649
♀	17.0000000	16.01	35.50	89.93	164.86	212.20	0.5652	0.5687
♀	18.0000000	15.25	36.13	95.54	177.35	228.86	0.5822	0.5839

PRO

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	55.47	69.17	107.27	171.81	223.73	0.3544	-0.1557
♂	0.2500000	54.78	68.35	106.17	170.40	222.22	0.3558	-0.1575
♂	0.3333333	54.10	67.55	105.08	169.02	220.74	0.3572	-0.1592
♂	0.4166667	53.44	66.76	104.01	167.66	219.29	0.3586	-0.1610
♂	0.5000000	52.79	65.98	102.96	166.33	217.87	0.3601	-0.1627
♂	0.5833333	52.15	65.22	101.93	165.02	216.48	0.3615	-0.1646
♂	0.6666667	51.53	64.48	100.92	163.74	215.13	0.3629	-0.1664
♂	0.7500000	50.92	63.76	99.93	162.49	213.80	0.3642	-0.1683
♂	0.8333333	50.33	63.05	98.97	161.27	212.51	0.3656	-0.1702
♂	0.9166667	49.76	62.37	98.03	160.08	211.25	0.3670	-0.1722
♂	1.0000000	49.20	61.70	97.11	158.91	210.03	0.3683	-0.1742
♂	2.0000000	43.76	55.11	87.93	147.23	197.97	0.3821	-0.2008
♂	5.0000000	37.96	47.74	76.49	130.32	178.19	0.3899	-0.2439
♂	6.0000000	38.46	48.23	76.55	128.22	172.99	0.3799	-0.2258
♂	7.0000000	39.90	49.87	78.22	128.16	169.95	0.3672	-0.1966
♂	8.0000000	41.95	52.28	81.13	130.32	170.18	0.3557	-0.1660
♂	17.0000000	63.89	78.10	115.40	173.10	215.95	0.3103	-0.0955
♂	18.0000000	64.68	79.59	118.56	178.27	222.10	0.3146	-0.0570
♀	0.1666667	62.31	75.58	112.08	173.92	224.42	0.3239	-0.2624
♀	0.2500000	61.53	74.69	110.95	172.65	223.22	0.3256	-0.2651
♀	0.3333333	60.77	73.81	109.84	171.39	222.04	0.3273	-0.2679
♀	0.4166667	60.02	72.95	108.75	170.16	220.89	0.3290	-0.2707
♀	0.5000000	59.28	72.10	107.67	168.94	219.75	0.3307	-0.2734
♀	0.5833333	58.56	71.27	106.61	167.73	218.64	0.3324	-0.2762
♀	0.6666667	57.85	70.45	105.56	166.55	217.55	0.3341	-0.2789
♀	0.7500000	57.16	69.64	104.54	165.39	216.47	0.3358	-0.2817
♀	0.8333333	56.47	68.85	103.53	164.24	215.42	0.3375	-0.2844
♀	0.9166667	55.80	68.08	102.54	163.11	214.38	0.3391	-0.2871
♀	1.0000000	55.15	67.32	101.56	162.01	213.37	0.3408	-0.2898
♀	2.0000000	48.53	59.56	91.39	150.09	202.28	0.3580	-0.3199
♀	5.0000000	41.40	50.57	77.15	127.09	172.60	0.3562	-0.3630
♀	6.0000000	42.13	51.18	77.11	124.84	167.50	0.3449	-0.3632
♀	7.0000000	44.08	53.25	79.22	126.06	167.12	0.3335	-0.3643
♀	8.0000000	46.98	56.46	83.00	130.05	170.63	0.3230	-0.3676
♀	17.0000000	48.77	62.24	99.23	159.43	205.57	0.3669	-0.0346
♀	18.0000000	46.02	60.60	100.78	165.30	213.63	0.3914	0.0554

SARC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	21.62	25.60	39.02	79.44	158.26	0.4090	-0.9703
♂	0.2500000	21.84	25.89	39.54	80.45	159.59	0.4097	-0.9581
♂	0.3333333	22.07	26.19	40.06	81.46	160.86	0.4104	-0.9458
♂	0.4166667	22.30	26.49	40.59	82.47	162.07	0.4111	-0.9335
♂	0.5000000	22.54	26.79	41.13	83.48	163.22	0.4117	-0.9213
♂	0.5833333	22.77	27.10	41.67	84.49	164.30	0.4123	-0.9090
♂	0.6666667	23.00	27.41	42.21	85.49	165.30	0.4129	-0.8968
♂	0.7500000	23.24	27.72	42.76	86.49	166.22	0.4135	-0.8845
♂	0.8333333	23.48	28.04	43.32	87.47	167.06	0.4140	-0.8723
♂	0.9166667	23.72	28.35	43.87	88.44	167.80	0.4144	-0.8600
♂	1.0000000	23.96	28.67	44.43	89.41	168.46	0.4148	-0.8478
♂	2.0000000	27.02	32.70	51.28	99.35	169.22	0.4131	-0.7037
♂	5.0000000	34.57	42.27	64.71	107.28	146.44	0.3599	-0.3680
♂	6.0000000	34.32	42.13	64.48	105.04	140.47	0.3542	-0.3005
♂	7.0000000	32.56	40.30	62.42	102.09	136.10	0.3610	-0.2528
♂	8.0000000	30.28	37.90	59.91	99.90	134.43	0.3766	-0.2276
♂	17.0000000	34.57	41.34	62.19	108.64	162.90	0.3650	-0.6514
♂	18.0000000	35.56	42.14	62.34	107.77	162.37	0.3530	-0.7201
♀	0.1666667	22.25	26.66	41.27	81.57	148.20	0.4100	-0.8136
♀	0.2500000	22.47	26.95	41.79	82.47	148.93	0.4106	-0.8020
♀	0.3333333	22.69	27.24	42.30	83.37	149.63	0.4112	-0.7904
♀	0.4166667	22.90	27.53	42.82	84.26	150.30	0.4118	-0.7787
♀	0.5000000	23.12	27.82	43.35	85.16	150.94	0.4123	-0.7671
♀	0.5833333	23.34	28.12	43.87	86.04	151.53	0.4129	-0.7555
♀	0.6666667	23.56	28.41	44.40	86.92	152.09	0.4133	-0.7439
♀	0.7500000	23.78	28.71	44.93	87.79	152.60	0.4138	-0.7322
♀	0.8333333	24.00	29.01	45.46	88.65	153.07	0.4142	-0.7206
♀	0.9166667	24.22	29.31	45.99	89.50	153.49	0.4145	-0.7090
♀	1.0000000	24.44	29.60	46.53	90.33	153.87	0.4148	-0.6974
♀	2.0000000	27.12	33.25	52.83	98.96	155.37	0.4128	-0.5621
♀	5.0000000	34.11	42.20	65.79	109.95	149.66	0.3710	-0.3046
♀	6.0000000	33.79	41.85	65.16	107.98	145.66	0.3677	-0.2788
♀	7.0000000	31.95	39.69	62.20	103.94	140.98	0.3734	-0.2781
♀	8.0000000	29.87	37.21	58.92	100.44	138.48	0.3846	-0.3003
♀	17.0000000	31.62	38.84	60.80	106.47	153.34	0.3870	-0.4445
♀	18.0000000	31.50	38.67	60.07	102.65	144.02	0.3760	-0.4029

SER

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	442.67	535.47	777.88	1152.69	1432.00	0.2989	-0.1351
♂	0.2500000	440.10	532.70	774.70	1149.01	1427.97	0.2997	-0.1331
♂	0.3333333	437.54	529.94	771.54	1145.35	1423.97	0.3004	-0.1311
♂	0.4166667	434.99	527.20	768.39	1141.72	1419.99	0.3012	-0.1291
♂	0.5000000	432.46	524.47	765.27	1138.11	1416.06	0.3020	-0.1271
♂	0.5833333	429.94	521.76	762.17	1134.54	1412.16	0.3028	-0.1251
♂	0.6666667	427.44	519.07	759.09	1131.01	1408.30	0.3036	-0.1231
♂	0.7500000	424.96	516.40	756.05	1127.51	1404.49	0.3044	-0.1211
♂	0.8333333	422.49	513.75	753.02	1124.05	1400.74	0.3053	-0.1190
♂	0.9166667	420.04	511.12	750.03	1120.64	1397.03	0.3061	-0.1170
♂	1.0000000	417.61	508.52	747.07	1117.27	1393.39	0.3069	-0.1150
♂	2.0000000	390.93	480.15	715.60	1082.42	1356.15	0.3170	-0.0897
♂	5.0000000	348.53	437.53	668.66	1014.79	1262.10	0.3282	0.0394
♂	6.0000000	344.15	433.83	662.67	995.34	1226.68	0.3238	0.0976
♂	7.0000000	347.06	440.15	674.14	1005.63	1230.86	0.3219	0.1548
♂	8.0000000	356.38	456.04	703.66	1047.27	1276.39	0.3235	0.2090
♂	17.0000000	446.44	574.10	862.14	1212.73	1424.08	0.2888	0.4702
♂	18.0000000	446.72	577.59	871.10	1225.31	1437.45	0.2901	0.4957
♀	0.1666667	416.71	518.63	792.32	1228.08	1558.38	0.3362	-0.0779
♀	0.2500000	415.74	517.20	789.53	1222.85	1551.16	0.3356	-0.0783
♀	0.3333333	414.77	515.78	786.76	1217.66	1543.99	0.3350	-0.0788
♀	0.4166667	413.80	514.36	784.00	1212.50	1536.87	0.3344	-0.0792
♀	0.5000000	412.82	512.94	781.25	1207.37	1529.80	0.3339	-0.0796
♀	0.5833333	411.85	511.53	778.52	1202.29	1522.79	0.3333	-0.0799
♀	0.6666667	410.87	510.11	775.80	1197.24	1515.83	0.3327	-0.0803
♀	0.7500000	409.88	508.70	773.10	1192.23	1508.93	0.3322	-0.0806
♀	0.8333333	408.90	507.29	770.42	1187.26	1502.09	0.3316	-0.0809
♀	0.9166667	407.91	505.88	767.75	1182.34	1495.32	0.3311	-0.0811
♀	1.0000000	406.92	504.47	765.10	1177.46	1488.61	0.3306	-0.0813
♀	2.0000000	395.28	488.29	735.12	1122.05	1411.84	0.3245	-0.0794
♀	5.0000000	373.79	458.02	670.27	976.90	1190.58	0.2955	0.0283
♀	6.0000000	375.80	461.37	671.69	963.74	1160.27	0.2872	0.1075
♀	7.0000000	386.15	477.28	696.40	990.10	1181.75	0.2842	0.1950
♀	8.0000000	400.56	500.96	738.03	1046.49	1242.65	0.2864	0.2824
♀	17.0000000	387.97	519.03	782.61	1063.02	1217.16	0.2718	0.8247
♀	18.0000000	384.40	512.09	764.31	1027.75	1170.94	0.2637	0.8729

THR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	98.21	127.95	208.70	336.04	430.26	0.3766	0.0554
♂	0.2500000	97.16	126.45	205.77	330.35	422.21	0.3746	0.0588
♂	0.3333333	96.12	124.98	202.91	324.79	414.37	0.3725	0.0621
♂	0.4166667	95.11	123.54	200.10	319.36	406.73	0.3704	0.0653
♂	0.5000000	94.12	122.14	197.35	314.07	399.30	0.3684	0.0685
♂	0.5833333	93.15	120.76	194.67	308.91	392.07	0.3663	0.0716
♂	0.6666667	92.21	119.42	192.05	303.89	385.05	0.3643	0.0746
♂	0.7500000	91.30	118.11	189.50	299.01	378.24	0.3622	0.0775
♂	0.8333333	90.42	116.84	187.02	294.26	371.63	0.3602	0.0803
♂	0.9166667	89.56	115.61	184.60	289.66	365.23	0.3582	0.0829
♂	1.0000000	88.74	114.42	182.26	285.20	359.04	0.3561	0.0855
♂	2.0000000	81.47	103.47	160.04	242.87	300.73	0.3327	0.1043
♂	5.0000000	83.45	102.45	150.33	219.45	267.57	0.2972	0.0352
♂	6.0000000	87.79	107.80	158.83	233.95	287.17	0.3023	0.0017
♂	7.0000000	93.19	115.06	171.72	257.04	318.62	0.3136	-0.0184
♂	8.0000000	99.31	123.61	187.43	285.20	356.69	0.3262	-0.0203
♂	17.0000000	140.53	179.40	265.95	369.74	431.69	0.2792	0.4935
♂	18.0000000	140.97	182.77	273.89	380.10	442.16	0.2815	0.5773
♀	0.1666667	111.55	141.47	216.65	323.10	395.40	0.3218	0.1557
♀	0.2500000	110.16	139.66	213.89	319.18	390.80	0.3220	0.1520
♀	0.3333333	108.79	137.89	211.18	315.33	386.28	0.3223	0.1482
♀	0.4166667	107.45	136.15	208.51	311.54	381.85	0.3226	0.1445
♀	0.5000000	106.13	134.44	205.90	307.83	377.49	0.3228	0.1408
♀	0.5833333	104.84	132.77	203.34	304.19	373.22	0.3231	0.1372
♀	0.6666667	103.57	131.13	200.84	300.63	369.04	0.3234	0.1335
♀	0.7500000	102.34	129.53	198.39	297.14	364.95	0.3236	0.1299
♀	0.8333333	101.13	127.97	196.00	293.74	360.96	0.3239	0.1263
♀	0.9166667	99.96	126.44	193.67	290.42	357.06	0.3241	0.1228
♀	1.0000000	98.81	124.96	191.40	287.18	353.26	0.3244	0.1193
♀	2.0000000	87.71	110.54	169.17	255.20	315.53	0.3263	0.0818
♀	5.0000000	82.89	102.72	153.20	226.92	278.62	0.3092	0.0440
♀	6.0000000	87.98	108.60	160.68	235.94	288.29	0.3027	0.0504
♀	7.0000000	95.62	117.99	174.13	254.46	309.88	0.2998	0.0665
♀	8.0000000	104.84	129.77	191.99	280.12	340.32	0.3001	0.0940
♀	17.0000000	139.11	174.94	263.88	388.00	471.44	0.3104	0.1611
♀	18.0000000	144.51	180.92	271.18	397.06	481.72	0.3063	0.1515

TRP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	47.20	59.88	96.56	162.48	218.33	0.3885	-0.1709
♂	0.2500000	47.13	59.80	96.46	162.27	217.96	0.3885	-0.1691
♂	0.3333333	47.05	59.73	96.36	162.06	217.60	0.3885	-0.1672
♂	0.4166667	46.98	59.65	96.26	161.85	217.24	0.3885	-0.1654
♂	0.5000000	46.91	59.58	96.16	161.65	216.88	0.3886	-0.1635
♂	0.5833333	46.84	59.50	96.06	161.44	216.52	0.3886	-0.1617
♂	0.6666667	46.77	59.43	95.96	161.23	216.16	0.3886	-0.1598
♂	0.7500000	46.70	59.36	95.87	161.03	215.79	0.3886	-0.1579
♂	0.8333333	46.63	59.29	95.77	160.82	215.43	0.3886	-0.1559
♂	0.9166667	46.56	59.22	95.67	160.62	215.07	0.3885	-0.1539
♂	1.0000000	46.50	59.14	95.58	160.41	214.71	0.3885	-0.1520
♂	2.0000000	45.68	58.35	94.67	158.43	211.00	0.3892	-0.1243
♂	5.0000000	45.86	60.64	101.85	169.19	220.38	0.4003	0.0423
♂	6.0000000	47.95	64.37	109.23	179.51	230.78	0.3996	0.1224
♂	7.0000000	50.16	68.64	118.14	192.66	245.03	0.4012	0.2029
♂	8.0000000	51.74	72.54	127.41	207.47	262.11	0.4072	0.2755
♂	17.0000000	62.04	87.59	149.72	230.96	282.06	0.3726	0.4398
♂	18.0000000	64.68	90.19	151.02	228.88	277.19	0.3578	0.4630
♀	0.1666667	46.94	61.04	101.98	174.61	234.62	0.4098	-0.0888
♀	0.2500000	46.77	60.85	101.68	173.88	233.32	0.4094	-0.0836
♀	0.3333333	46.59	60.66	101.39	173.15	232.03	0.4090	-0.0783
♀	0.4166667	46.42	60.47	101.09	172.44	230.76	0.4086	-0.0731
♀	0.5000000	46.25	60.29	100.81	171.73	229.51	0.4083	-0.0679
♀	0.5833333	46.08	60.10	100.52	171.04	228.28	0.4079	-0.0627
♀	0.6666667	45.91	59.92	100.25	170.35	227.06	0.4075	-0.0575
♀	0.7500000	45.75	59.75	99.97	169.68	225.87	0.4071	-0.0523
♀	0.8333333	45.58	59.57	99.70	169.02	224.71	0.4068	-0.0471
♀	0.9166667	45.42	59.40	99.44	168.37	223.56	0.4064	-0.0418
♀	1.0000000	45.27	59.24	99.19	167.74	222.44	0.4060	-0.0366
♀	2.0000000	43.74	57.72	96.97	161.79	211.57	0.4021	0.0256
♀	5.0000000	47.84	64.56	108.24	171.99	215.83	0.3808	0.2237
♀	6.0000000	51.19	69.63	116.57	182.41	226.22	0.3733	0.2920
♀	7.0000000	52.97	73.29	124.06	193.18	238.05	0.3744	0.3575
♀	8.0000000	52.88	75.17	130.35	204.01	250.99	0.3841	0.4145
♀	17.0000000	61.10	82.98	141.53	229.80	292.03	0.3962	0.1896
♀	18.0000000	61.57	82.56	139.12	225.82	287.94	0.3918	0.1479

TYR

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	36.37	43.37	61.96	91.91	115.31	0.2921	-0.2662
♂	0.2500000	36.23	43.18	61.66	91.46	114.77	0.2918	-0.2704
♂	0.3333333	36.10	43.00	61.37	91.01	114.24	0.2915	-0.2746
♂	0.4166667	35.96	42.82	61.07	90.56	113.70	0.2912	-0.2787
♂	0.5000000	35.83	42.64	60.78	90.12	113.17	0.2908	-0.2829
♂	0.5833333	35.70	42.47	60.49	89.68	112.65	0.2905	-0.2869
♂	0.6666667	35.57	42.29	60.21	89.25	112.12	0.2902	-0.2909
♂	0.7500000	35.44	42.12	59.93	88.82	111.60	0.2899	-0.2949
♂	0.8333333	35.31	41.95	59.65	88.39	111.09	0.2896	-0.2987
♂	0.9166667	35.19	41.78	59.37	87.97	110.58	0.2892	-0.3025
♂	1.0000000	35.06	41.62	59.10	87.55	110.07	0.2889	-0.3063
♂	2.0000000	33.73	39.84	56.16	82.87	104.19	0.2842	-0.3424
♂	5.0000000	32.77	38.25	52.39	74.28	90.87	0.2580	-0.3146
♂	6.0000000	33.57	39.10	53.08	73.96	89.23	0.2481	-0.2559
♂	7.0000000	34.75	40.46	54.59	74.96	89.36	0.2404	-0.1841
♂	8.0000000	36.06	42.03	56.55	76.84	90.76	0.2353	-0.1092
♂	17.0000000	37.03	45.29	62.16	80.48	90.73	0.2212	0.7079
♂	18.0000000	36.34	44.83	61.80	79.78	89.67	0.2210	0.7944
♀	0.1666667	39.10	46.39	66.57	102.04	132.60	0.3047	-0.4256
♀	0.2500000	38.88	46.10	66.13	101.37	131.81	0.3045	-0.4303
♀	0.3333333	38.66	45.83	65.70	100.72	131.03	0.3043	-0.4349
♀	0.4166667	38.44	45.55	65.27	100.07	130.25	0.3040	-0.4395
♀	0.5000000	38.23	45.28	64.84	99.42	129.47	0.3038	-0.4441
♀	0.5833333	38.02	45.01	64.42	98.79	128.70	0.3036	-0.4485
♀	0.6666667	37.81	44.74	64.01	98.15	127.94	0.3033	-0.4530
♀	0.7500000	37.61	44.48	63.60	97.53	127.18	0.3030	-0.4573
♀	0.8333333	37.40	44.23	63.20	96.91	126.43	0.3028	-0.4615
♀	0.9166667	37.20	43.97	62.80	96.30	125.68	0.3025	-0.4657
♀	1.0000000	37.01	43.73	62.41	95.70	124.94	0.3022	-0.4698
♀	2.0000000	35.02	41.18	58.32	89.02	116.24	0.2970	-0.5068
♀	5.0000000	34.34	39.87	54.33	77.38	95.45	0.2572	-0.4035
♀	6.0000000	35.49	41.15	55.45	76.91	92.70	0.2433	-0.2940
♀	7.0000000	36.76	42.66	57.10	77.48	91.64	0.2326	-0.1567
♀	8.0000000	37.73	43.97	58.72	78.48	91.54	0.2261	-0.0082
♀	17.0000000	29.31	37.03	54.98	77.78	91.99	0.2879	0.3523
♀	18.0000000	26.57	34.26	52.57	76.38	91.47	0.3109	0.3389

VAL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	68.30	81.34	115.89	171.30	214.44	0.2897	-0.2659
♂	0.2500000	68.86	81.88	116.36	171.76	214.98	0.2880	-0.2765
♂	0.3333333	69.43	82.42	116.84	172.21	215.51	0.2864	-0.2871
♂	0.4166667	69.99	82.96	117.32	172.66	216.03	0.2848	-0.2976
♂	0.5000000	70.56	83.50	117.79	173.10	216.53	0.2832	-0.3080
♂	0.5833333	71.12	84.04	118.27	173.53	217.02	0.2816	-0.3183
♂	0.6666667	71.68	84.58	118.74	173.95	217.49	0.2800	-0.3285
♂	0.7500000	72.24	85.11	119.20	174.37	217.95	0.2785	-0.3386
♂	0.8333333	72.80	85.64	119.67	174.77	218.38	0.2769	-0.3486
♂	0.9166667	73.36	86.17	120.13	175.16	218.79	0.2753	-0.3584
♂	1.0000000	73.91	86.70	120.58	175.54	219.17	0.2737	-0.3681
♂	2.0000000	80.11	92.60	125.43	178.57	221.04	0.2542	-0.4634
♂	5.0000000	90.13	101.73	130.11	170.93	200.09	0.2018	-0.3996
♂	6.0000000	90.71	102.18	129.52	167.21	193.03	0.1918	-0.3007
♂	7.0000000	91.31	102.86	129.88	165.94	189.89	0.1864	-0.2053
♂	8.0000000	92.42	104.30	131.76	167.72	191.19	0.1853	-0.1332
♂	17.0000000	109.81	123.82	155.26	194.54	219.14	0.1763	0.0142
♂	18.0000000	111.23	125.60	157.50	196.67	220.85	0.1749	0.0830
♀	0.1666667	68.89	84.97	122.46	170.54	200.84	0.2709	0.2825
♀	0.2500000	69.57	85.59	122.98	171.11	201.53	0.2695	0.2685
♀	0.3333333	70.26	86.21	123.50	171.67	202.22	0.2681	0.2546
♀	0.4166667	70.94	86.82	124.02	172.23	202.90	0.2667	0.2407
♀	0.5000000	71.63	87.43	124.54	172.79	203.57	0.2652	0.2268
♀	0.5833333	72.30	88.04	125.05	173.33	204.24	0.2638	0.2130
♀	0.6666667	72.98	88.65	125.56	173.87	204.89	0.2624	0.1992
♀	0.7500000	73.65	89.25	126.07	174.40	205.52	0.2610	0.1855
♀	0.8333333	74.32	89.85	126.57	174.92	206.14	0.2596	0.1719
♀	0.9166667	74.98	90.45	127.06	175.42	206.75	0.2582	0.1583
♀	1.0000000	75.63	91.04	127.55	175.91	207.33	0.2568	0.1447
♀	2.0000000	82.85	97.45	132.48	180.21	212.13	0.2398	-0.0058
♀	5.0000000	91.78	104.02	132.92	171.98	198.18	0.1960	-0.1963
♀	6.0000000	91.78	103.63	131.37	168.35	192.87	0.1892	-0.1839
♀	7.0000000	92.11	103.94	131.39	167.50	191.17	0.1861	-0.1482
♀	8.0000000	93.28	105.40	133.25	169.37	192.72	0.1850	-0.0938
♀	17.0000000	90.94	105.06	137.09	177.45	202.80	0.2044	0.1170
♀	18.0000000	88.39	102.83	135.86	177.90	204.47	0.2138	0.1203

C0

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	19.92	23.91	33.75	47.61	57.11	0.2687	0.0053
♂	0.2500000	19.67	23.62	33.35	47.04	56.41	0.2687	0.0087
♂	0.3333333	19.43	23.34	32.96	46.48	55.73	0.2688	0.0121
♂	0.4166667	19.19	23.06	32.57	45.93	55.05	0.2689	0.0155
♂	0.5000000	18.95	22.78	32.19	45.39	54.39	0.2689	0.0189
♂	0.5833333	18.72	22.51	31.82	44.86	53.74	0.2690	0.0223
♂	0.6666667	18.50	22.24	31.45	44.33	53.10	0.2690	0.0257
♂	0.7500000	18.27	21.98	31.09	43.82	52.47	0.2691	0.0291
♂	0.8333333	18.05	21.72	30.73	43.31	51.86	0.2692	0.0325
♂	0.9166667	17.83	21.47	30.39	42.82	51.26	0.2693	0.0360
♂	1.0000000	17.62	21.22	30.05	42.34	50.67	0.2694	0.0394
♂	2.0000000	15.40	18.64	26.52	37.38	44.65	0.2715	0.0811
♂	5.0000000	12.11	15.10	22.34	32.14	38.58	0.2943	0.1969
♂	6.0000000	11.82	14.96	22.60	32.95	39.73	0.3072	0.2296
♂	7.0000000	11.88	15.23	23.42	34.48	41.69	0.3175	0.2599
♂	8.0000000	12.16	15.75	24.47	36.14	43.68	0.3223	0.2954
♂	17.0000000	13.57	17.80	27.21	38.42	45.07	0.2959	0.5391
♂	18.0000000	14.35	18.40	27.47	38.39	44.93	0.2838	0.4880
♀	0.1666667	19.38	23.82	34.27	47.86	56.52	0.2715	0.2442
♀	0.2500000	19.12	23.51	33.81	47.21	55.75	0.2714	0.2446
♀	0.3333333	18.87	23.19	33.36	46.58	55.00	0.2714	0.2450
♀	0.4166667	18.62	22.89	32.92	45.96	54.27	0.2713	0.2455
♀	0.5000000	18.37	22.59	32.48	45.35	53.54	0.2713	0.2459
♀	0.5833333	18.13	22.29	32.06	44.75	52.83	0.2712	0.2464
♀	0.6666667	17.90	22.00	31.64	44.16	52.14	0.2712	0.2469
♀	0.7500000	17.67	21.72	31.23	43.59	51.46	0.2712	0.2474
♀	0.8333333	17.44	21.44	30.83	43.03	50.79	0.2711	0.2479
♀	0.9166667	17.22	21.17	30.44	42.48	50.14	0.2711	0.2485
♀	1.0000000	17.00	20.90	30.06	41.94	49.50	0.2710	0.2491
♀	2.0000000	14.82	18.24	26.24	36.59	43.15	0.2708	0.2598
♀	5.0000000	11.92	15.03	22.26	31.39	37.07	0.2856	0.3588
♀	6.0000000	11.74	15.01	22.53	31.94	37.73	0.2925	0.4048
♀	7.0000000	11.93	15.41	23.33	33.12	39.08	0.2957	0.4451
♀	8.0000000	12.33	16.00	24.34	34.53	40.69	0.2968	0.4729
♀	17.0000000	9.26	12.98	22.31	35.05	43.31	0.3832	0.3688
♀	18.0000000	8.50	12.24	21.68	34.55	42.87	0.3991	0.3954

C2

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	11.18	13.66	19.82	28.53	34.48	0.2873	0.0610
♂	0.2500000	11.06	13.51	19.60	28.20	34.09	0.2870	0.0593
♂	0.3333333	10.95	13.37	19.39	27.89	33.70	0.2867	0.0575
♂	0.4166667	10.84	13.23	19.18	27.58	33.33	0.2864	0.0558
♂	0.5000000	10.73	13.10	18.97	27.27	32.95	0.2861	0.0540
♂	0.5833333	10.63	12.96	18.76	26.97	32.59	0.2858	0.0522
♂	0.6666667	10.52	12.83	18.56	26.67	32.23	0.2855	0.0505
♂	0.7500000	10.42	12.70	18.36	26.38	31.88	0.2852	0.0487
♂	0.8333333	10.32	12.57	18.17	26.10	31.53	0.2849	0.0469
♂	0.9166667	10.22	12.44	17.98	25.82	31.19	0.2847	0.0451
♂	1.0000000	10.12	12.32	17.79	25.54	30.86	0.2844	0.0432
♂	2.0000000	9.12	11.06	15.87	22.71	27.42	0.2808	0.0218
♂	5.0000000	8.20	9.82	13.79	19.33	23.10	0.2642	0.0123
♂	6.0000000	8.45	10.10	14.10	19.61	23.30	0.2588	0.0421
♂	7.0000000	8.87	10.63	14.81	20.40	24.07	0.2543	0.1059
♂	8.0000000	9.36	11.28	15.73	21.47	25.11	0.2507	0.2136
♂	17.0000000	11.67	14.08	18.66	23.25	25.69	0.1917	0.9819
♂	18.0000000	12.10	14.50	18.99	23.46	25.82	0.1841	1.0256
♀	0.1666667	11.23	13.81	20.25	29.48	35.84	0.2959	0.0558
♀	0.2500000	11.10	13.65	20.03	29.14	35.41	0.2958	0.0605
♀	0.3333333	10.97	13.50	19.81	28.80	34.99	0.2957	0.0653
♀	0.4166667	10.84	13.34	19.59	28.47	34.57	0.2956	0.0700
♀	0.5000000	10.72	13.20	19.38	28.15	34.16	0.2955	0.0747
♀	0.5833333	10.60	13.05	19.17	27.83	33.76	0.2954	0.0795
♀	0.6666667	10.48	12.91	18.96	27.52	33.36	0.2953	0.0842
♀	0.7500000	10.36	12.77	18.76	27.21	32.97	0.2951	0.0890
♀	0.8333333	10.24	12.63	18.56	26.91	32.59	0.2950	0.0937
♀	0.9166667	10.13	12.50	18.37	26.61	32.22	0.2949	0.0985
♀	1.0000000	10.02	12.36	18.17	26.32	31.85	0.2947	0.1033
♀	2.0000000	8.92	11.05	16.25	23.35	28.06	0.2914	0.1614
♀	5.0000000	8.22	10.16	14.59	20.14	23.56	0.2658	0.3440
♀	6.0000000	8.53	10.54	15.01	20.43	23.71	0.2568	0.4139
♀	7.0000000	8.96	11.06	15.64	21.03	24.22	0.2488	0.4849
♀	8.0000000	9.45	11.64	16.34	21.76	24.90	0.2417	0.5465
♀	17.0000000	9.56	11.97	17.08	22.89	26.24	0.2499	0.5988
♀	18.0000000	9.39	11.75	16.73	22.30	25.48	0.2465	0.6385

CRE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.4166667	15.89	17.61	21.40	25.99	28.81	0.1518	0.0004
♂	0.5000000	16.06	17.79	21.58	26.19	29.02	0.1510	-0.0083
♂	0.5833333	16.23	17.96	21.77	26.40	29.24	0.1502	-0.0170
♂	0.6666667	16.40	18.14	21.96	26.61	29.46	0.1495	-0.0257
♂	0.7500000	16.57	18.32	22.15	26.81	29.69	0.1487	-0.0344
♂	0.8333333	16.75	18.50	22.34	27.03	29.91	0.1480	-0.0431
♂	0.9166667	16.92	18.68	22.53	27.24	30.14	0.1472	-0.0518
♂	1.0000000	17.10	18.86	22.73	27.45	30.37	0.1465	-0.0605
♂	2.0000000	19.38	21.21	25.25	30.21	33.29	0.1380	-0.1635
♂	5.0000000	27.09	29.28	34.15	40.21	44.04	0.1236	-0.3854
♂	6.0000000	29.47	31.84	37.11	43.67	47.82	0.1231	-0.3934
♂	7.0000000	31.73	34.31	40.04	47.18	51.69	0.1241	-0.3787
♂	8.0000000	33.89	36.69	42.92	50.68	55.58	0.1258	-0.3672
♂	17.0000000	61.69	67.78	80.42	94.63	102.84	0.1301	0.2935
♂	18.0000000	67.13	73.48	86.58	101.20	109.59	0.1248	0.3128
♀	0.4166667	16.38	17.91	21.26	25.29	27.75	0.1346	-0.0800
♀	0.5000000	16.50	18.06	21.44	25.49	27.96	0.1345	-0.0631
♀	0.5833333	16.63	18.20	21.61	25.69	28.17	0.1345	-0.0462
♀	0.6666667	16.76	18.35	21.79	25.90	28.39	0.1344	-0.0294
♀	0.7500000	16.89	18.50	21.97	26.11	28.60	0.1343	-0.0125
♀	0.8333333	17.03	18.65	22.16	26.31	28.82	0.1343	0.0043
♀	0.9166667	17.16	18.80	22.34	26.52	29.04	0.1342	0.0210
♀	1.0000000	17.29	18.96	22.53	26.74	29.26	0.1342	0.0377
♀	2.0000000	19.05	20.95	24.94	29.49	32.14	0.1333	0.2312
♀	5.0000000	26.37	29.10	34.52	40.29	43.48	0.1265	0.6158
♀	6.0000000	29.03	32.00	37.85	43.98	47.34	0.1235	0.6960
♀	7.0000000	31.37	34.56	40.80	47.27	50.80	0.1216	0.7534
♀	8.0000000	33.38	36.77	43.38	50.22	53.93	0.1210	0.7727
♀	17.0000000	52.21	56.93	66.73	77.81	84.23	0.1219	0.2163
♀	18.0000000	52.86	57.70	67.65	78.69	85.00	0.1209	0.3273

ASP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♀	0.1666667	44.25	60.24	105.90	182.00	240.35	0.4311	0.0743	2.081381e+49
♀	0.2500000	44.42	60.54	106.66	183.65	242.76	0.4327	0.0743	2.081381e+49
♀	0.3333333	44.59	60.85	107.42	185.32	245.19	0.4342	0.0743	2.081381e+49
♀	0.4166667	44.77	61.16	108.19	186.99	247.64	0.4358	0.0743	2.081381e+49
♀	0.5000000	44.94	61.47	108.96	188.68	250.11	0.4373	0.0743	2.081381e+49
♀	0.5833333	45.12	61.78	109.74	190.38	252.60	0.4388	0.0743	2.081381e+49
♀	0.6666667	45.30	62.10	110.52	192.09	255.10	0.4403	0.0743	2.081381e+49
♀	0.7500000	45.47	62.41	111.30	193.81	257.63	0.4418	0.0743	2.081381e+49
♀	0.8333333	45.65	62.73	112.09	195.55	260.17	0.4433	0.0743	2.081381e+49
♀	0.9166667	45.83	63.05	112.88	197.29	262.73	0.4448	0.0743	2.081381e+49
♀	1.0000000	46.01	63.37	113.68	199.04	265.30	0.4463	0.0743	2.081381e+49
♀	2.0000000	48.32	67.40	123.70	221.15	297.83	0.4633	0.0743	2.081381e+49
♀	5.0000000	57.63	82.94	160.83	302.33	417.39	0.5042	0.0743	2.081381e+49
♀	6.0000000	60.68	88.00	172.87	328.82	456.62	0.5139	0.0743	2.081381e+49
♀	7.0000000	63.43	92.51	183.56	352.34	491.47	0.5213	0.0743	2.081381e+49
♀	8.0000000	66.35	97.15	194.09	374.87	524.49	0.5264	0.0743	2.081381e+49
♀	17.0000000	91.58	127.96	235.55	422.27	569.46	0.4655	0.0743	2.081381e+49
♀	18.0000000	91.83	126.70	228.04	400.48	534.59	0.4487	0.0743	2.081381e+49
♂	0.1666667	53.63	72.10	123.83	207.98	271.38	0.4131	0.0795	4.493257e+106
♂	0.2500000	53.64	72.19	124.21	208.98	272.91	0.4144	0.0795	4.493257e+106
♂	0.3333333	53.66	72.29	124.61	209.99	274.46	0.4158	0.0795	4.493257e+106
♂	0.4166667	53.68	72.39	125.00	211.00	276.01	0.4171	0.0795	4.493257e+106
♂	0.5000000	53.70	72.49	125.40	212.02	277.57	0.4185	0.0795	4.493257e+106
♂	0.5833333	53.72	72.59	125.80	213.05	279.14	0.4198	0.0795	4.493257e+106
♂	0.6666667	53.74	72.69	126.20	214.08	280.73	0.4211	0.0795	4.493257e+106
♂	0.7500000	53.76	72.80	126.61	215.13	282.33	0.4225	0.0795	4.493257e+106
♂	0.8333333	53.79	72.91	127.03	216.18	283.94	0.4238	0.0795	4.493257e+106
♂	0.9166667	53.82	73.02	127.44	217.24	285.56	0.4251	0.0795	4.493257e+106
♂	1.0000000	53.85	73.13	127.87	218.31	287.20	0.4264	0.0795	4.493257e+106
♂	2.0000000	54.49	74.87	133.60	232.41	308.59	0.4417	0.0795	4.493257e+106
♂	5.0000000	59.74	84.59	159.14	290.46	394.93	0.4809	0.0795	4.493257e+106
♂	6.0000000	62.37	89.03	169.87	314.03	429.67	0.4914	0.0795	4.493257e+106
♂	7.0000000	66.11	95.03	183.51	342.96	471.77	0.5003	0.0795	4.493257e+106
♂	8.0000000	70.92	102.52	199.94	377.02	520.89	0.5076	0.0795	4.493257e+106
♂	17.0000000	92.77	132.70	254.07	471.18	645.69	0.4940	0.0795	4.493257e+106
♂	18.0000000	97.66	138.63	261.93	479.95	653.83	0.4841	0.0795	4.493257e+106

MET

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	12.29	16.30	25.83	43.16	63.05	0.3435	-0.2258	7.1757
♂	0.2500000	12.26	16.25	25.73	42.94	62.66	0.3428	-0.2258	7.1757
♂	0.3333333	12.23	16.21	25.62	42.72	62.28	0.3420	-0.2258	7.1757
♂	0.4166667	12.20	16.16	25.52	42.50	61.90	0.3412	-0.2258	7.1757
♂	0.5000000	12.17	16.11	25.42	42.28	61.52	0.3405	-0.2258	7.1757
♂	0.5833333	12.15	16.06	25.33	42.07	61.15	0.3397	-0.2258	7.1757
♂	0.6666667	12.12	16.02	25.23	41.85	60.78	0.3389	-0.2258	7.1757
♂	0.7500000	12.09	15.97	25.13	41.64	60.41	0.3382	-0.2258	7.1757
♂	0.8333333	12.06	15.93	25.03	41.43	60.05	0.3374	-0.2258	7.1757
♂	0.9166667	12.03	15.88	24.94	41.22	59.69	0.3367	-0.2258	7.1757
♂	1.0000000	12.01	15.83	24.84	41.02	59.34	0.3359	-0.2258	7.1757
♂	2.0000000	11.70	15.34	23.79	38.73	55.39	0.3270	-0.2258	7.1757
♂	5.0000000	11.39	14.65	21.99	34.41	47.67	0.3016	-0.2258	7.1757
♂	6.0000000	11.53	14.74	21.90	33.84	46.42	0.2936	-0.2258	7.1757
♂	7.0000000	11.79	14.99	22.06	33.67	45.75	0.2858	-0.2258	7.1757
♂	8.0000000	12.16	15.37	22.40	33.79	45.49	0.2783	-0.2258	7.1757
♂	17.0000000	16.18	19.53	26.32	36.24	45.48	0.2187	-0.2258	7.1757
♂	18.0000000	16.50	19.83	26.52	36.20	45.12	0.2129	-0.2258	7.1757
♀	0.1666667	12.63	16.74	26.01	43.30	65.82	0.3252	-0.3055	5.6257
♀	0.2500000	12.60	16.69	25.92	43.11	65.46	0.3246	-0.3055	5.6257
♀	0.3333333	12.57	16.65	25.83	42.91	65.10	0.3240	-0.3055	5.6257
♀	0.4166667	12.54	16.60	25.74	42.72	64.75	0.3233	-0.3055	5.6257
♀	0.5000000	12.52	16.56	25.66	42.53	64.40	0.3227	-0.3055	5.6257
♀	0.5833333	12.49	16.52	25.57	42.34	64.05	0.3221	-0.3055	5.6257
♀	0.6666667	12.46	16.47	25.48	42.16	63.70	0.3215	-0.3055	5.6257
♀	0.7500000	12.43	16.43	25.40	41.97	63.36	0.3209	-0.3055	5.6257
♀	0.8333333	12.41	16.39	25.31	41.79	63.02	0.3203	-0.3055	5.6257
♀	0.9166667	12.38	16.34	25.23	41.60	62.68	0.3197	-0.3055	5.6257
♀	1.0000000	12.35	16.30	25.14	41.42	62.35	0.3191	-0.3055	5.6257
♀	2.0000000	12.07	15.84	24.20	39.40	58.64	0.3119	-0.3055	5.6257
♀	5.0000000	11.74	15.18	22.59	35.53	51.22	0.2913	-0.3055	5.6257
♀	6.0000000	11.85	15.25	22.51	35.01	49.98	0.2848	-0.3055	5.6257
♀	7.0000000	12.07	15.45	22.62	34.82	49.23	0.2784	-0.3055	5.6257
♀	8.0000000	12.37	15.76	22.89	34.86	48.84	0.2721	-0.3055	5.6257
♀	17.0000000	14.82	18.15	24.68	34.65	45.19	0.2220	-0.3055	5.6257
♀	18.0000000	14.83	18.09	24.44	34.04	44.09	0.2171	-0.3055	5.6257

TAU

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	0.1666667	115.92	150.41	246.50	407.40	534.68	0.3873	-0.0339	181.0429
♂	0.2500000	115.54	150.21	247.11	410.01	539.26	0.3903	-0.0339	181.0429
♂	0.3333333	115.14	150.00	247.70	412.62	543.86	0.3933	-0.0339	181.0429
♂	0.4166667	114.74	149.77	248.27	415.21	548.47	0.3963	-0.0339	181.0429
♂	0.5000000	114.33	149.53	248.82	417.78	553.06	0.3994	-0.0339	181.0429
♂	0.5833333	113.90	149.26	249.34	420.32	557.64	0.4024	-0.0339	181.0429
♂	0.6666667	113.46	148.98	249.83	422.82	562.19	0.4055	-0.0339	181.0429
♂	0.7500000	113.00	148.68	250.27	425.27	566.68	0.4085	-0.0339	181.0429
♂	0.8333333	112.52	148.35	250.68	427.66	571.12	0.4115	-0.0339	181.0429
♂	0.9166667	112.03	147.99	251.05	429.99	575.49	0.4146	-0.0339	181.0429
♂	1.0000000	111.52	147.62	251.36	432.24	579.77	0.4176	-0.0339	181.0429
♂	2.0000000	104.48	141.45	251.57	452.58	622.30	0.4520	-0.0339	181.0429
♂	5.0000000	89.57	124.87	235.03	448.56	637.21	0.4970	-0.0339	181.0429
♂	6.0000000	88.36	122.64	228.88	432.94	612.01	0.4902	-0.0339	181.0429
♂	7.0000000	88.39	121.61	223.13	414.67	580.47	0.4768	-0.0339	181.0429
♂	8.0000000	88.98	121.20	218.12	397.26	549.95	0.4614	-0.0339	181.0429
♂	17.0000000	97.20	127.68	214.25	362.86	482.66	0.4060	-0.0339	181.0429
♂	18.0000000	94.43	123.28	204.47	342.13	452.07	0.3967	-0.0339	181.0429
♀	0.1666667	100.77	142.01	245.30	419.92	583.24	0.3962	0.0305	10.4532
♀	0.2500000	100.45	141.86	245.86	422.23	587.58	0.3986	0.0305	10.4532
♀	0.3333333	100.13	141.70	246.40	424.53	591.92	0.4010	0.0305	10.4532
♀	0.4166667	99.79	141.53	246.92	426.80	596.25	0.4034	0.0305	10.4532
♀	0.5000000	99.45	141.34	247.41	429.03	600.53	0.4058	0.0305	10.4532
♀	0.5833333	99.09	141.14	247.88	431.22	604.77	0.4082	0.0305	10.4532
♀	0.6666667	98.72	140.91	248.30	433.36	608.95	0.4106	0.0305	10.4532
♀	0.7500000	98.34	140.66	248.69	435.43	613.04	0.4130	0.0305	10.4532
♀	0.8333333	97.95	140.39	249.04	437.43	617.04	0.4153	0.0305	10.4532
♀	0.9166667	97.53	140.10	249.33	439.35	620.94	0.4177	0.0305	10.4532
♀	1.0000000	97.11	139.77	249.58	441.17	624.70	0.4201	0.0305	10.4532
♀	2.0000000	91.13	134.28	248.72	455.47	658.83	0.4464	0.0305	10.4532
♀	5.0000000	79.34	120.31	233.07	445.65	661.55	0.4786	0.0305	10.4532
♀	6.0000000	78.69	118.24	225.87	426.07	627.37	0.4685	0.0305	10.4532
♀	7.0000000	78.35	115.84	215.75	397.19	576.34	0.4503	0.0305	10.4532
♀	8.0000000	78.71	114.16	206.26	368.79	525.81	0.4286	0.0305	10.4532
♀	17.0000000	95.34	131.39	219.12	362.55	493.31	0.3709	0.0305	10.4532
♀	18.0000000	97.89	134.37	222.70	366.25	496.54	0.3665	0.0305	10.4532

C3

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	0.1666667	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.2500000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.3333333	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.4166667	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.5000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.5833333	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.6666667	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.7500000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.8333333	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	0.9166667	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	1.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	2.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	5.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	6.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	7.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	8.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	17.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♀	18.0000000	0.42	0.62	1.21	2.19	2.91	0.4864	0.1948
♂	0.1666667	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.2500000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.3333333	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.4166667	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.5000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.5833333	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.6666667	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.7500000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.8333333	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	0.9166667	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	1.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	2.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	5.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	6.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	7.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	8.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	17.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363
♂	18.0000000	0.51	0.70	1.28	2.31	3.15	0.4663	0.0363

C18

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	0.1666667	0.16	0.27	0.53	0.84	1.03	0.4290	0.6372
♀	0.2500000	0.16	0.27	0.53	0.84	1.03	0.4290	0.6372
♀	0.3333333	0.16	0.27	0.53	0.85	1.03	0.4289	0.6372
♀	0.4166667	0.16	0.27	0.53	0.85	1.04	0.4289	0.6372
♀	0.5000000	0.16	0.27	0.53	0.85	1.04	0.4288	0.6372
♀	0.5833333	0.16	0.27	0.53	0.85	1.04	0.4287	0.6372
♀	0.6666667	0.16	0.27	0.53	0.85	1.04	0.4287	0.6372
♀	0.7500000	0.16	0.27	0.53	0.85	1.05	0.4286	0.6372
♀	0.8333333	0.16	0.27	0.53	0.86	1.05	0.4286	0.6372
♀	0.9166667	0.16	0.27	0.54	0.86	1.05	0.4285	0.6372
♀	1.0000000	0.16	0.27	0.54	0.86	1.05	0.4284	0.6372
♀	2.0000000	0.17	0.28	0.56	0.89	1.09	0.4277	0.6372
♀	5.0000000	0.19	0.32	0.62	0.99	1.21	0.4256	0.6372
♀	6.0000000	0.20	0.33	0.65	1.04	1.27	0.4248	0.6372
♀	7.0000000	0.21	0.35	0.69	1.10	1.35	0.4241	0.6372
♀	8.0000000	0.22	0.38	0.73	1.16	1.42	0.4234	0.6372
♀	17.0000000	0.21	0.34	0.66	1.04	1.27	0.4170	0.6372
♀	18.0000000	0.20	0.33	0.64	1.01	1.23	0.4163	0.6372
♂	0.1666667	0.18	0.29	0.57	0.96	1.21	0.4583	0.4738
♂	0.2500000	0.18	0.29	0.57	0.96	1.21	0.4580	0.4738
♂	0.3333333	0.18	0.29	0.57	0.96	1.21	0.4578	0.4738
♂	0.4166667	0.18	0.29	0.57	0.96	1.21	0.4576	0.4738
♂	0.5000000	0.18	0.29	0.57	0.96	1.21	0.4573	0.4738
♂	0.5833333	0.18	0.29	0.57	0.96	1.21	0.4571	0.4738
♂	0.6666667	0.18	0.29	0.58	0.96	1.21	0.4569	0.4738
♂	0.7500000	0.18	0.29	0.58	0.97	1.21	0.4566	0.4738
♂	0.8333333	0.18	0.29	0.58	0.97	1.22	0.4564	0.4738
♂	0.9166667	0.18	0.29	0.58	0.97	1.22	0.4562	0.4738
♂	1.0000000	0.18	0.29	0.58	0.97	1.22	0.4560	0.4738
♂	2.0000000	0.19	0.30	0.59	0.98	1.24	0.4532	0.4738
♂	5.0000000	0.21	0.33	0.64	1.06	1.33	0.4452	0.4738
♂	6.0000000	0.22	0.34	0.66	1.09	1.36	0.4425	0.4738
♂	7.0000000	0.23	0.35	0.68	1.13	1.41	0.4399	0.4738
♂	8.0000000	0.23	0.37	0.70	1.16	1.45	0.4373	0.4738
♂	17.0000000	0.29	0.44	0.81	1.30	1.61	0.4151	0.4738
♂	18.0000000	0.29	0.44	0.81	1.30	1.61	0.4127	0.4738

C18_1

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	0.1666667	0.36	0.52	0.88	1.31	1.56	0.3531	0.5993
♀	0.2500000	0.36	0.51	0.87	1.30	1.55	0.3533	0.5993
♀	0.3333333	0.35	0.51	0.86	1.29	1.54	0.3536	0.5993
♀	0.4166667	0.35	0.51	0.86	1.28	1.53	0.3538	0.5993
♀	0.5000000	0.35	0.50	0.85	1.27	1.52	0.3541	0.5993
♀	0.5833333	0.34	0.50	0.85	1.27	1.51	0.3543	0.5993
♀	0.6666667	0.34	0.50	0.84	1.26	1.50	0.3546	0.5993
♀	0.7500000	0.34	0.49	0.84	1.25	1.50	0.3548	0.5993
♀	0.8333333	0.34	0.49	0.83	1.24	1.49	0.3551	0.5993
♀	0.9166667	0.34	0.49	0.83	1.24	1.48	0.3553	0.5993
♀	1.0000000	0.33	0.48	0.82	1.23	1.47	0.3556	0.5993
♀	2.0000000	0.32	0.46	0.78	1.18	1.41	0.3587	0.5993
♀	5.0000000	0.32	0.47	0.82	1.25	1.50	0.3680	0.5993
♀	6.0000000	0.33	0.49	0.87	1.32	1.58	0.3712	0.5993
♀	7.0000000	0.35	0.52	0.91	1.39	1.68	0.3744	0.5993
♀	8.0000000	0.36	0.54	0.96	1.47	1.77	0.3777	0.5993
♀	17.0000000	0.32	0.51	0.96	1.51	1.84	0.4086	0.5993
♀	18.0000000	0.30	0.48	0.91	1.44	1.76	0.4123	0.5993
♂	0.1666667	0.28	0.50	1.02	1.65	2.01	0.4407	0.6783
♂	0.2500000	0.28	0.50	1.01	1.63	1.99	0.4401	0.6783
♂	0.3333333	0.28	0.49	1.00	1.61	1.97	0.4396	0.6783
♂	0.4166667	0.27	0.49	0.99	1.59	1.94	0.4391	0.6783
♂	0.5000000	0.27	0.48	0.98	1.57	1.92	0.4385	0.6783
♂	0.5833333	0.27	0.48	0.96	1.55	1.90	0.4380	0.6783
♂	0.6666667	0.27	0.47	0.95	1.53	1.88	0.4375	0.6783
♂	0.7500000	0.26	0.47	0.94	1.52	1.85	0.4369	0.6783
♂	0.8333333	0.26	0.46	0.93	1.50	1.83	0.4364	0.6783
♂	0.9166667	0.26	0.46	0.92	1.48	1.81	0.4359	0.6783
♂	1.0000000	0.26	0.45	0.91	1.47	1.79	0.4354	0.6783
♂	2.0000000	0.24	0.41	0.82	1.31	1.60	0.4291	0.6783
♂	5.0000000	0.26	0.43	0.83	1.30	1.57	0.4108	0.6783
♂	6.0000000	0.28	0.46	0.88	1.37	1.66	0.4049	0.6783
♂	7.0000000	0.31	0.50	0.94	1.45	1.76	0.3992	0.6783
♂	8.0000000	0.33	0.53	0.98	1.51	1.82	0.3935	0.6783
♂	17.0000000	0.48	0.70	1.19	1.75	2.07	0.3460	0.6783
♂	18.0000000	0.48	0.70	1.17	1.72	2.03	0.3412	0.6783

C16

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	0.48	0.70	1.26	2.00	2.48	0.4036	0.4405
♂	0.2500000	0.47	0.69	1.25	1.98	2.45	0.4033	0.4405
♂	0.3333333	0.47	0.69	1.23	1.96	2.43	0.4030	0.4405
♂	0.4166667	0.46	0.68	1.22	1.94	2.40	0.4026	0.4405
♂	0.5000000	0.46	0.67	1.21	1.92	2.38	0.4023	0.4405
♂	0.5833333	0.45	0.67	1.20	1.90	2.35	0.4020	0.4405
♂	0.6666667	0.45	0.66	1.19	1.88	2.33	0.4017	0.4405
♂	0.7500000	0.45	0.66	1.17	1.87	2.31	0.4013	0.4405
♂	0.8333333	0.44	0.65	1.16	1.85	2.28	0.4010	0.4405
♂	0.9166667	0.44	0.64	1.15	1.83	2.26	0.4007	0.4405
♂	1.0000000	0.44	0.64	1.14	1.81	2.24	0.4004	0.4405
♂	2.0000000	0.40	0.59	1.05	1.66	2.05	0.3965	0.4405
♂	5.0000000	0.40	0.57	1.00	1.56	1.92	0.3853	0.4405
♂	6.0000000	0.41	0.59	1.02	1.59	1.95	0.3816	0.4405
♂	7.0000000	0.43	0.60	1.04	1.62	1.98	0.3780	0.4405
♂	8.0000000	0.44	0.62	1.06	1.63	2.00	0.3744	0.4405
♂	17.0000000	0.51	0.69	1.13	1.70	2.05	0.3438	0.4405
♂	18.0000000	0.50	0.68	1.11	1.65	1.99	0.3406	0.4405
♀	0.1666667	0.50	0.71	1.21	1.83	2.21	0.3600	0.5253
♀	0.2500000	0.50	0.71	1.20	1.81	2.18	0.3600	0.5253
♀	0.3333333	0.49	0.70	1.19	1.80	2.16	0.3601	0.5253
♀	0.4166667	0.49	0.69	1.18	1.78	2.15	0.3601	0.5253
♀	0.5000000	0.48	0.69	1.17	1.76	2.13	0.3602	0.5253
♀	0.5833333	0.48	0.68	1.16	1.75	2.11	0.3602	0.5253
♀	0.6666667	0.47	0.68	1.15	1.73	2.09	0.3602	0.5253
♀	0.7500000	0.47	0.67	1.14	1.72	2.07	0.3603	0.5253
♀	0.8333333	0.47	0.66	1.13	1.70	2.05	0.3603	0.5253
♀	0.9166667	0.46	0.66	1.12	1.69	2.04	0.3604	0.5253
♀	1.0000000	0.46	0.65	1.11	1.67	2.02	0.3604	0.5253
♀	2.0000000	0.42	0.60	1.02	1.54	1.85	0.3610	0.5253
♀	5.0000000	0.39	0.56	0.95	1.44	1.74	0.3626	0.5253
♀	6.0000000	0.40	0.58	0.98	1.49	1.80	0.3631	0.5253
♀	7.0000000	0.42	0.60	1.03	1.56	1.88	0.3637	0.5253
♀	8.0000000	0.43	0.62	1.05	1.60	1.93	0.3643	0.5253
♀	17.0000000	0.38	0.54	0.94	1.43	1.74	0.3696	0.5253
♀	18.0000000	0.36	0.52	0.89	1.37	1.65	0.3703	0.5253

MEHIS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	0.50	0.78	1.58	2.79	3.64	0.4905	0.3281
♂	0.2500000	0.51	0.79	1.60	2.84	3.69	0.4901	0.3281
♂	0.3333333	0.51	0.81	1.63	2.88	3.75	0.4896	0.3281
♂	0.4166667	0.52	0.82	1.65	2.92	3.80	0.4891	0.3281
♂	0.5000000	0.53	0.83	1.68	2.97	3.86	0.4886	0.3281
♂	0.5833333	0.54	0.85	1.70	3.01	3.92	0.4882	0.3281
♂	0.6666667	0.55	0.86	1.73	3.06	3.97	0.4877	0.3281
♂	0.7500000	0.56	0.87	1.76	3.10	4.03	0.4872	0.3281
♂	0.8333333	0.57	0.89	1.78	3.15	4.09	0.4867	0.3281
♂	0.9166667	0.58	0.90	1.81	3.19	4.15	0.4863	0.3281
♂	1.0000000	0.59	0.92	1.84	3.24	4.21	0.4858	0.3281
♂	2.0000000	0.70	1.08	2.15	3.77	4.89	0.4802	0.3281
♂	5.0000000	1.02	1.55	3.01	5.17	6.66	0.4637	0.3281
♂	6.0000000	1.14	1.72	3.31	5.66	7.27	0.4583	0.3281
♂	7.0000000	1.26	1.90	3.61	6.14	7.87	0.4530	0.3281
♂	8.0000000	1.37	2.05	3.87	6.55	8.37	0.4478	0.3281
♂	17.0000000	2.12	3.00	5.29	8.53	10.69	0.4037	0.3281
♂	18.0000000	2.25	3.17	5.54	8.90	11.12	0.3991	0.3281
♀	0.1666667	0.57	0.87	1.67	2.84	3.63	0.4549	0.3438
♀	0.2500000	0.58	0.88	1.68	2.87	3.67	0.4548	0.3438
♀	0.3333333	0.59	0.89	1.70	2.90	3.71	0.4548	0.3438
♀	0.4166667	0.59	0.90	1.72	2.93	3.74	0.4547	0.3438
♀	0.5000000	0.60	0.91	1.74	2.96	3.78	0.4546	0.3438
♀	0.5833333	0.61	0.92	1.76	2.99	3.82	0.4545	0.3438
♀	0.6666667	0.61	0.93	1.78	3.02	3.86	0.4544	0.3438
♀	0.7500000	0.62	0.94	1.80	3.05	3.91	0.4543	0.3438
♀	0.8333333	0.63	0.95	1.82	3.09	3.95	0.4542	0.3438
♀	0.9166667	0.63	0.96	1.84	3.12	3.99	0.4541	0.3438
♀	1.0000000	0.64	0.97	1.86	3.15	4.03	0.4540	0.3438
♀	2.0000000	0.74	1.11	2.12	3.60	4.60	0.4530	0.3438
♀	5.0000000	1.11	1.67	3.17	5.36	6.84	0.4498	0.3438
♀	6.0000000	1.21	1.81	3.44	5.81	7.41	0.4488	0.3438
♀	7.0000000	1.27	1.91	3.61	6.10	7.77	0.4478	0.3438
♀	8.0000000	1.31	1.97	3.72	6.27	8.00	0.4468	0.3438
♀	17.0000000	1.61	2.39	4.46	7.46	9.47	0.4381	0.3438
♀	18.0000000	1.59	2.36	4.39	7.33	9.31	0.4371	0.3438

MMA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	0.1666667	0.19	0.29	0.56	0.93	1.17	0.4457	0.4073
♀	0.2500000	0.19	0.29	0.56	0.93	1.17	0.4460	0.4073
♀	0.3333333	0.19	0.29	0.56	0.93	1.17	0.4463	0.4073
♀	0.4166667	0.19	0.29	0.56	0.93	1.17	0.4466	0.4073
♀	0.5000000	0.19	0.29	0.56	0.93	1.17	0.4468	0.4073
♀	0.5833333	0.19	0.29	0.56	0.93	1.17	0.4471	0.4073
♀	0.6666667	0.19	0.29	0.56	0.93	1.17	0.4474	0.4073
♀	0.7500000	0.19	0.29	0.56	0.93	1.18	0.4477	0.4073
♀	0.8333333	0.19	0.29	0.56	0.93	1.18	0.4479	0.4073
♀	0.9166667	0.19	0.29	0.56	0.93	1.18	0.4482	0.4073
♀	1.0000000	0.19	0.29	0.56	0.93	1.18	0.4485	0.4073
♀	2.0000000	0.19	0.29	0.56	0.93	1.18	0.4519	0.4073
♀	5.0000000	0.18	0.28	0.56	0.94	1.20	0.4621	0.4073
♀	6.0000000	0.18	0.28	0.56	0.95	1.21	0.4656	0.4073
♀	7.0000000	0.18	0.28	0.56	0.95	1.21	0.4691	0.4073
♀	8.0000000	0.17	0.28	0.56	0.95	1.22	0.4727	0.4073
♀	17.0000000	0.16	0.26	0.56	0.99	1.28	0.5062	0.4073
♀	18.0000000	0.15	0.26	0.56	0.99	1.28	0.5101	0.4073
♂	0.1666667	0.21	0.31	0.59	1.00	1.28	0.4530	0.3220
♂	0.2500000	0.21	0.31	0.59	1.00	1.28	0.4530	0.3220
♂	0.3333333	0.21	0.31	0.59	1.00	1.28	0.4531	0.3220
♂	0.4166667	0.21	0.31	0.59	1.00	1.28	0.4532	0.3220
♂	0.5000000	0.21	0.31	0.59	1.00	1.28	0.4532	0.3220
♂	0.5833333	0.21	0.31	0.59	1.00	1.28	0.4533	0.3220
♂	0.6666667	0.21	0.31	0.59	1.00	1.28	0.4534	0.3220
♂	0.7500000	0.21	0.31	0.59	1.00	1.28	0.4535	0.3220
♂	0.8333333	0.21	0.31	0.59	1.00	1.28	0.4535	0.3220
♂	0.9166667	0.21	0.31	0.59	1.00	1.28	0.4536	0.3220
♂	1.0000000	0.21	0.31	0.59	1.00	1.28	0.4537	0.3220
♂	2.0000000	0.21	0.31	0.59	1.00	1.29	0.4545	0.3220
♂	5.0000000	0.20	0.31	0.59	1.00	1.29	0.4571	0.3220
♂	6.0000000	0.20	0.31	0.59	1.01	1.29	0.4579	0.3220
♂	7.0000000	0.20	0.31	0.59	1.01	1.29	0.4588	0.3220
♂	8.0000000	0.20	0.31	0.59	1.01	1.30	0.4597	0.3220
♂	17.0000000	0.20	0.30	0.59	1.02	1.31	0.4683	0.3220
♂	18.0000000	0.20	0.30	0.59	1.02	1.31	0.4693	0.3220

Q1

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	1.60	1.81	2.33	3.13	3.72	0.2117	-0.5129
♂	0.2500000	1.60	1.81	2.34	3.13	3.72	0.2115	-0.5129
♂	0.3333333	1.61	1.82	2.34	3.13	3.73	0.2113	-0.5129
♂	0.4166667	1.61	1.82	2.34	3.13	3.73	0.2112	-0.5129
♂	0.5000000	1.61	1.82	2.34	3.14	3.73	0.2110	-0.5129
♂	0.5833333	1.61	1.82	2.35	3.14	3.73	0.2108	-0.5129
♂	0.6666667	1.62	1.82	2.35	3.14	3.74	0.2106	-0.5129
♂	0.7500000	1.62	1.83	2.35	3.14	3.74	0.2105	-0.5129
♂	0.8333333	1.62	1.83	2.35	3.15	3.74	0.2103	-0.5129
♂	0.9166667	1.62	1.83	2.36	3.15	3.74	0.2101	-0.5129
♂	1.0000000	1.62	1.83	2.36	3.15	3.75	0.2100	-0.5129
♂	2.0000000	1.65	1.86	2.39	3.19	3.78	0.2079	-0.5129
♂	5.0000000	1.73	1.94	2.48	3.27	3.86	0.2019	-0.5129
♂	6.0000000	1.74	1.96	2.49	3.28	3.86	0.1999	-0.5129
♂	7.0000000	1.75	1.96	2.49	3.27	3.84	0.1980	-0.5129
♂	8.0000000	1.75	1.97	2.49	3.26	3.82	0.1960	-0.5129
♂	17.0000000	1.90	2.11	2.63	3.36	3.87	0.1796	-0.5129
♂	18.0000000	1.92	2.14	2.65	3.38	3.89	0.1779	-0.5129
♀	0.1666667	1.56	1.76	2.27	3.06	3.66	0.2136	-0.5561
♀	0.2500000	1.56	1.76	2.28	3.06	3.66	0.2134	-0.5561
♀	0.3333333	1.57	1.77	2.28	3.06	3.67	0.2131	-0.5561
♀	0.4166667	1.57	1.77	2.28	3.07	3.67	0.2129	-0.5561
♀	0.5000000	1.57	1.77	2.29	3.07	3.67	0.2127	-0.5561
♀	0.5833333	1.58	1.78	2.29	3.08	3.68	0.2124	-0.5561
♀	0.6666667	1.58	1.78	2.29	3.08	3.68	0.2122	-0.5561
♀	0.7500000	1.58	1.79	2.30	3.09	3.69	0.2119	-0.5561
♀	0.8333333	1.59	1.79	2.30	3.09	3.69	0.2117	-0.5561
♀	0.9166667	1.59	1.79	2.31	3.09	3.69	0.2114	-0.5561
♀	1.0000000	1.59	1.80	2.31	3.10	3.70	0.2112	-0.5561
♀	2.0000000	1.63	1.84	2.36	3.15	3.75	0.2083	-0.5561
♀	5.0000000	1.72	1.93	2.45	3.23	3.81	0.2000	-0.5561
♀	6.0000000	1.73	1.94	2.46	3.22	3.80	0.1972	-0.5561
♀	7.0000000	1.74	1.94	2.46	3.21	3.77	0.1946	-0.5561
♀	8.0000000	1.74	1.95	2.45	3.20	3.74	0.1919	-0.5561
♀	17.0000000	1.85	2.04	2.51	3.16	3.62	0.1699	-0.5561
♀	18.0000000	1.86	2.06	2.52	3.17	3.62	0.1676	-0.5561

Q2

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	0.02	0.03	0.06	0.10	0.13	0.4218	0.2690
♂	0.2500000	0.02	0.03	0.06	0.10	0.13	0.4216	0.2690
♂	0.3333333	0.02	0.04	0.06	0.10	0.13	0.4213	0.2690
♂	0.4166667	0.02	0.04	0.06	0.10	0.13	0.4211	0.2690
♂	0.5000000	0.02	0.04	0.06	0.10	0.13	0.4208	0.2690
♂	0.5833333	0.02	0.04	0.06	0.10	0.13	0.4205	0.2690
♂	0.6666667	0.03	0.04	0.06	0.11	0.13	0.4203	0.2690
♂	0.7500000	0.03	0.04	0.06	0.11	0.13	0.4200	0.2690
♂	0.8333333	0.03	0.04	0.06	0.11	0.13	0.4197	0.2690
♂	0.9166667	0.03	0.04	0.06	0.11	0.13	0.4195	0.2690
♂	1.0000000	0.03	0.04	0.06	0.11	0.13	0.4192	0.2690
♂	2.0000000	0.03	0.04	0.07	0.11	0.14	0.4161	0.2690
♂	5.0000000	0.03	0.04	0.07	0.11	0.14	0.4069	0.2690
♂	6.0000000	0.03	0.04	0.07	0.11	0.14	0.4039	0.2690
♂	7.0000000	0.03	0.04	0.07	0.11	0.14	0.4010	0.2690
♂	8.0000000	0.03	0.04	0.07	0.11	0.14	0.3980	0.2690
♂	17.0000000	0.03	0.04	0.06	0.10	0.12	0.3726	0.2690
♂	18.0000000	0.03	0.04	0.06	0.10	0.12	0.3699	0.2690
♀	0.1666667	0.03	0.03	0.06	0.09	0.12	0.3804	0.3494
♀	0.2500000	0.03	0.03	0.06	0.09	0.12	0.3804	0.3494
♀	0.3333333	0.03	0.03	0.06	0.09	0.12	0.3804	0.3494
♀	0.4166667	0.03	0.04	0.06	0.09	0.12	0.3805	0.3494
♀	0.5000000	0.03	0.04	0.06	0.09	0.12	0.3805	0.3494
♀	0.5833333	0.03	0.04	0.06	0.09	0.12	0.3805	0.3494
♀	0.6666667	0.03	0.04	0.06	0.09	0.12	0.3805	0.3494
♀	0.7500000	0.03	0.04	0.06	0.09	0.12	0.3805	0.3494
♀	0.8333333	0.03	0.04	0.06	0.09	0.12	0.3806	0.3494
♀	0.9166667	0.03	0.04	0.06	0.10	0.12	0.3806	0.3494
♀	1.0000000	0.03	0.04	0.06	0.10	0.12	0.3806	0.3494
♀	2.0000000	0.03	0.04	0.06	0.10	0.12	0.3809	0.3494
♀	5.0000000	0.03	0.04	0.07	0.10	0.13	0.3817	0.3494
♀	6.0000000	0.03	0.04	0.07	0.10	0.13	0.3820	0.3494
♀	7.0000000	0.03	0.04	0.07	0.10	0.13	0.3823	0.3494
♀	8.0000000	0.03	0.04	0.06	0.10	0.13	0.3826	0.3494
♀	17.0000000	0.02	0.03	0.06	0.09	0.11	0.3855	0.3494
♀	18.0000000	0.02	0.03	0.05	0.09	0.11	0.3859	0.3494

Q3

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	0.05	0.07	0.12	0.19	0.24	0.3803	0.2382
♂	0.2500000	0.05	0.07	0.12	0.19	0.24	0.3799	0.2382
♂	0.3333333	0.05	0.07	0.12	0.19	0.24	0.3795	0.2382
♂	0.4166667	0.05	0.07	0.12	0.19	0.24	0.3791	0.2382
♂	0.5000000	0.05	0.07	0.12	0.19	0.24	0.3787	0.2382
♂	0.5833333	0.05	0.07	0.12	0.19	0.24	0.3783	0.2382
♂	0.6666667	0.05	0.07	0.12	0.19	0.24	0.3779	0.2382
♂	0.7500000	0.05	0.07	0.12	0.19	0.24	0.3775	0.2382
♂	0.8333333	0.05	0.07	0.12	0.19	0.24	0.3771	0.2382
♂	0.9166667	0.05	0.07	0.12	0.19	0.24	0.3767	0.2382
♂	1.0000000	0.05	0.07	0.12	0.19	0.24	0.3763	0.2382
♂	2.0000000	0.06	0.07	0.12	0.19	0.24	0.3716	0.2382
♂	5.0000000	0.06	0.08	0.13	0.20	0.25	0.3578	0.2382
♂	6.0000000	0.06	0.08	0.13	0.20	0.25	0.3534	0.2382
♂	7.0000000	0.06	0.08	0.13	0.20	0.24	0.3490	0.2382
♂	8.0000000	0.06	0.08	0.13	0.20	0.24	0.3446	0.2382
♂	17.0000000	0.07	0.08	0.13	0.19	0.22	0.3081	0.2382
♂	18.0000000	0.07	0.08	0.13	0.18	0.22	0.3043	0.2382
♀	0.1666667	0.05	0.07	0.11	0.17	0.20	0.3426	0.2958
♀	0.2500000	0.05	0.07	0.11	0.17	0.20	0.3426	0.2958
♀	0.3333333	0.05	0.07	0.11	0.17	0.20	0.3425	0.2958
♀	0.4166667	0.05	0.07	0.11	0.17	0.21	0.3424	0.2958
♀	0.5000000	0.05	0.07	0.11	0.17	0.21	0.3424	0.2958
♀	0.5833333	0.05	0.07	0.11	0.17	0.21	0.3423	0.2958
♀	0.6666667	0.05	0.07	0.11	0.17	0.21	0.3423	0.2958
♀	0.7500000	0.05	0.07	0.11	0.17	0.21	0.3422	0.2958
♀	0.8333333	0.05	0.07	0.11	0.17	0.21	0.3421	0.2958
♀	0.9166667	0.05	0.07	0.11	0.17	0.21	0.3421	0.2958
♀	1.0000000	0.05	0.07	0.11	0.17	0.21	0.3420	0.2958
♀	2.0000000	0.06	0.07	0.12	0.18	0.21	0.3412	0.2958
♀	5.0000000	0.06	0.08	0.12	0.18	0.22	0.3390	0.2958
♀	6.0000000	0.06	0.08	0.12	0.19	0.23	0.3382	0.2958
♀	7.0000000	0.06	0.08	0.12	0.19	0.23	0.3375	0.2958
♀	8.0000000	0.06	0.08	0.12	0.19	0.23	0.3368	0.2958
♀	17.0000000	0.06	0.07	0.11	0.17	0.21	0.3306	0.2958
♀	18.0000000	0.05	0.07	0.11	0.17	0.20	0.3299	0.2958

Q4

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.1666667	9.02	11.29	17.75	29.09	38.55	0.3683	-0.1876
♂	0.2500000	8.97	11.24	17.66	28.94	38.32	0.3682	-0.1850
♂	0.3333333	8.93	11.18	17.58	28.79	38.10	0.3681	-0.1824
♂	0.4166667	8.88	11.13	17.50	28.64	37.87	0.3679	-0.1798
♂	0.5000000	8.83	11.07	17.41	28.48	37.65	0.3678	-0.1772
♂	0.5833333	8.79	11.02	17.33	28.33	37.43	0.3677	-0.1746
♂	0.6666667	8.74	10.96	17.24	28.18	37.20	0.3676	-0.1720
♂	0.7500000	8.70	10.91	17.16	28.02	36.98	0.3674	-0.1694
♂	0.8333333	8.65	10.85	17.07	27.87	36.76	0.3673	-0.1668
♂	0.9166667	8.60	10.79	16.98	27.72	36.53	0.3672	-0.1642
♂	1.0000000	8.56	10.74	16.90	27.56	36.31	0.3671	-0.1616
♂	2.0000000	7.99	10.06	15.86	25.72	33.66	0.3656	-0.1305
♂	5.0000000	6.82	8.67	13.73	21.90	28.14	0.3613	-0.0372
♂	6.0000000	6.72	8.57	13.58	21.56	27.54	0.3599	-0.0060
♂	7.0000000	6.74	8.63	13.70	21.63	27.49	0.3585	0.0251
♂	8.0000000	6.87	8.82	14.02	22.03	27.86	0.3572	0.0562
♂	17.0000000	6.65	8.88	14.34	21.66	26.39	0.3453	0.3363
♂	18.0000000	6.82	9.15	14.79	22.26	27.02	0.3440	0.3674
♀	0.1666667	10.13	12.37	18.52	28.94	37.40	0.3305	-0.2350
♀	0.2500000	10.06	12.28	18.39	28.73	37.12	0.3306	-0.2326
♀	0.3333333	9.98	12.19	18.27	28.53	36.85	0.3306	-0.2301
♀	0.4166667	9.91	12.10	18.14	28.33	36.58	0.3307	-0.2277
♀	0.5000000	9.84	12.02	18.02	28.13	36.31	0.3307	-0.2253
♀	0.5833333	9.77	11.93	17.89	27.93	36.04	0.3308	-0.2228
♀	0.6666667	9.69	11.85	17.77	27.73	35.77	0.3308	-0.2204
♀	0.7500000	9.62	11.76	17.65	27.54	35.51	0.3309	-0.2179
♀	0.8333333	9.55	11.68	17.53	27.35	35.25	0.3309	-0.2155
♀	0.9166667	9.48	11.60	17.41	27.15	34.99	0.3310	-0.2130
♀	1.0000000	9.41	11.52	17.29	26.97	34.74	0.3310	-0.2106
♀	2.0000000	8.67	10.64	16.02	24.93	31.99	0.3316	-0.1813
♀	5.0000000	7.44	9.22	14.03	21.70	27.53	0.3335	-0.0934
♀	6.0000000	7.24	9.02	13.76	21.24	26.87	0.3341	-0.0641
♀	7.0000000	7.16	8.95	13.70	21.11	26.61	0.3348	-0.0348
♀	8.0000000	7.17	9.00	13.82	21.26	26.71	0.3354	-0.0055
♀	17.0000000	6.80	8.91	14.18	21.46	26.29	0.3416	0.2583
♀	18.0000000	6.82	8.99	14.36	21.71	26.53	0.3423	0.2876

Category: bp

bp_wuehl_age.ref

Citations

• Wühl E, Witte K, Soergel M, Mehls O, Schaefer F, Hypertension for the GWG on P. Distribution of 24-h ambulatory blood pressure in children: normalized reference values and role of body dimensions. Journal of Hypertension. 2002 Oct;20(10):1995.

SBP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	94.51	97.64	104.6	113.45	119.22	-2.205	0.058
♂	6	94.89	98.20	105.5	114.66	120.55	-1.927	0.060
♂	7	95.15	98.65	106.3	115.75	121.73	-1.646	0.062
♂	8	95.14	98.88	107.0	116.89	123.07	-1.360	0.065
♂	9	95.26	99.21	107.7	117.86	124.09	-1.086	0.067
♂	10	95.74	99.91	108.8	119.28	125.63	-0.866	0.069
♂	11	96.85	101.20	110.4	121.12	127.54	-0.706	0.070
♂	12	98.28	102.90	112.6	123.78	130.40	-0.540	0.072
♂	13	100.26	105.10	115.1	126.40	132.99	-0.324	0.072
♂	14	102.11	107.29	117.8	129.36	135.94	-0.018	0.073
♂	15	104.36	109.81	120.6	132.07	138.43	0.338	0.072
♂	16	106.35	112.17	123.4	134.94	141.17	0.706	0.072
♀	5	87.68	93.01	102.8	112.26	117.16	1.362	0.073
♀	6	89.42	94.50	104.1	113.71	118.80	0.987	0.072
♀	7	91.21	96.00	105.3	114.89	120.09	0.648	0.070
♀	8	92.70	97.34	106.5	116.18	121.52	0.378	0.069
♀	9	94.19	98.67	107.6	117.16	122.49	0.199	0.067
♀	10	95.40	99.84	108.7	118.24	123.57	0.134	0.066
♀	11	96.42	100.86	109.7	119.15	124.41	0.201	0.065
♀	12	97.15	101.72	110.7	120.16	125.37	0.378	0.065
♀	13	98.13	102.78	111.8	121.12	126.17	0.599	0.064
♀	14	99.00	103.75	112.8	121.96	126.85	0.854	0.063
♀	15	100.08	104.86	113.8	122.65	127.31	1.129	0.061
♀	16	101.43	106.13	114.8	123.21	127.57	1.400	0.058

SBP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	99.50	103.25	111.1	120.14	125.49	-0.862	0.059
♂	6	99.44	103.34	111.5	120.85	126.38	-0.751	0.061
♂	7	99.36	103.43	111.9	121.57	127.25	-0.631	0.063
♂	8	99.17	103.41	112.2	122.17	127.99	-0.503	0.065
♂	9	99.06	103.48	112.6	122.87	128.84	-0.381	0.067
♂	10	99.30	103.91	113.4	124.02	130.16	-0.276	0.069
♂	11	100.14	104.98	114.9	125.94	132.29	-0.177	0.071
♂	12	101.64	106.71	117.0	128.33	134.79	-0.041	0.072
♂	13	103.43	108.76	119.5	131.14	137.70	0.132	0.073
♂	14	105.61	111.20	122.3	134.09	140.63	0.348	0.073
♂	15	107.90	113.80	125.3	137.24	143.74	0.595	0.073
♂	16	110.06	116.29	128.2	140.28	146.73	0.851	0.073
♀	5	89.68	96.78	108.4	118.39	123.20	2.507	0.077
♀	6	92.20	98.55	109.5	119.42	124.33	2.041	0.074
♀	7	94.00	99.94	110.6	120.67	125.80	1.610	0.073
♀	8	95.70	101.24	111.5	121.54	126.77	1.244	0.071
♀	9	97.01	102.33	112.4	122.50	127.85	0.969	0.070
♀	10	98.19	103.37	113.3	123.40	128.82	0.805	0.069
♀	11	99.21	104.34	114.2	124.25	129.64	0.780	0.068
♀	12	100.06	105.31	115.3	125.40	130.79	0.878	0.068
♀	13	101.09	106.40	116.4	126.39	131.67	1.020	0.067
♀	14	102.32	107.62	117.5	127.21	132.28	1.207	0.065
♀	15	103.77	109.01	118.6	127.87	132.66	1.435	0.062
♀	16	105.18	110.31	119.6	128.43	132.94	1.668	0.059

SBP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	85.17	88.23	95.0	103.56	109.11	-1.929	0.062
♂	6	84.80	88.13	95.5	104.77	110.74	-1.658	0.067
♂	7	84.34	88.01	96.1	106.23	112.71	-1.386	0.073
♂	8	83.88	87.87	96.6	107.40	114.23	-1.116	0.078
♂	9	83.84	88.09	97.3	108.47	115.40	-0.856	0.081
♂	10	84.01	88.50	98.1	109.51	116.44	-0.616	0.083
♂	11	84.74	89.45	99.4	110.96	117.84	-0.391	0.084
♂	12	86.03	90.96	101.2	112.82	119.59	-0.171	0.084
♂	13	87.66	92.83	103.4	115.13	121.84	0.040	0.084
♂	14	89.61	94.99	105.8	117.51	124.09	0.248	0.083
♂	15	91.66	97.25	108.3	120.01	126.48	0.448	0.082
♂	16	94.01	99.74	110.9	122.48	128.77	0.641	0.080
♀	5	80.57	85.27	94.8	105.22	111.12	0.144	0.082
♀	6	81.29	85.97	95.6	106.35	112.55	-0.040	0.083
♀	7	81.96	86.59	96.2	107.12	113.49	-0.194	0.083
♀	8	82.42	87.06	96.8	107.98	114.58	-0.286	0.084
♀	9	83.01	87.69	97.5	108.77	115.42	-0.289	0.084
♀	10	83.51	88.28	98.2	109.49	116.09	-0.197	0.084
♀	11	84.15	89.02	99.0	110.12	116.51	-0.015	0.083
♀	12	84.80	89.75	99.7	110.46	116.51	0.241	0.081
♀	13	85.67	90.68	100.5	110.77	116.39	0.549	0.078
♀	14	86.72	91.74	101.3	110.95	116.10	0.898	0.074
♀	15	87.94	92.87	102.0	110.92	115.56	1.269	0.069
♀	16	89.20	94.08	102.9	111.26	115.52	1.639	0.065

DBP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	56.65	59.42	65.3	72.22	76.39	-0.661	0.076
♂	6	56.71	59.62	65.7	72.64	76.71	-0.342	0.077
♂	7	56.85	59.89	66.1	72.96	76.88	-0.014	0.077
♂	8	56.69	59.90	66.3	73.16	76.99	0.301	0.078
♂	9	56.67	59.99	66.5	73.29	76.99	0.574	0.078
♂	10	56.46	59.93	66.6	73.41	77.08	0.786	0.079
♂	11	56.60	60.15	66.9	73.70	77.31	0.932	0.079
♂	12	56.65	60.30	67.2	74.08	77.72	1.017	0.080
♂	13	56.79	60.47	67.4	74.29	77.93	1.050	0.080
♂	14	57.05	60.75	67.7	74.63	78.29	1.036	0.080
♂	15	57.56	61.21	68.1	74.99	78.64	1.000	0.079
♂	16	58.01	61.67	68.6	75.56	79.25	0.959	0.079
♀	5	55.76	59.07	65.5	72.16	75.78	0.646	0.078
♀	6	55.65	59.08	65.6	72.19	75.70	0.900	0.078
♀	7	55.62	59.17	65.8	72.33	75.75	1.148	0.078
♀	8	55.36	59.09	65.9	72.45	75.82	1.388	0.079
♀	9	55.09	59.00	66.0	72.57	75.90	1.611	0.080
♀	10	54.79	58.93	66.2	72.90	76.25	1.775	0.082
♀	11	54.58	58.90	66.4	73.26	76.68	1.832	0.084
♀	12	54.53	58.92	66.6	73.66	77.20	1.757	0.086
♀	13	55.09	59.36	67.0	74.17	77.81	1.571	0.086
♀	14	55.67	59.74	67.2	74.40	78.11	1.328	0.085
♀	15	56.58	60.38	67.5	74.57	78.29	1.075	0.082
♀	16	57.24	60.83	67.7	74.70	78.46	0.816	0.080

DBP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	61.09	65.00	72.1	78.88	82.36	1.477	0.075
♂	6	60.98	65.05	72.4	79.37	82.93	1.533	0.077
♂	7	60.70	64.93	72.5	79.64	83.27	1.583	0.079
♂	8	60.35	64.71	72.5	79.80	83.51	1.614	0.081
♂	9	59.86	64.33	72.3	79.75	83.53	1.622	0.083
♂	10	59.70	64.16	72.1	79.54	83.30	1.614	0.083
♂	11	59.66	64.09	72.0	79.44	83.22	1.576	0.083
♂	12	59.74	64.12	72.0	79.47	83.28	1.505	0.083
♂	13	60.02	64.34	72.2	79.72	83.59	1.407	0.083
♂	14	60.56	64.76	72.5	80.01	83.91	1.279	0.082
♂	15	61.14	65.28	73.0	80.62	84.62	1.123	0.082
♂	16	61.59	65.70	73.5	81.34	85.50	0.957	0.083
♀	5	59.72	64.38	72.6	80.24	84.10	1.670	0.085
♀	6	59.60	64.33	72.6	80.21	84.02	1.765	0.085
♀	7	59.31	64.10	72.4	79.95	83.71	1.861	0.085
♀	8	58.84	63.77	72.2	79.78	83.52	1.962	0.086
♀	9	58.53	63.54	72.0	79.52	83.20	2.066	0.086
♀	10	58.07	63.21	71.8	79.35	83.03	2.146	0.087
♀	11	57.99	63.18	71.8	79.33	82.99	2.195	0.087
♀	12	58.21	63.44	72.1	79.66	83.33	2.210	0.087
♀	13	58.48	63.71	72.4	79.99	83.69	2.192	0.087
♀	14	59.39	64.40	72.8	80.20	83.81	2.169	0.084
♀	15	60.45	65.19	73.2	80.30	83.78	2.158	0.080
♀	16	61.42	65.89	73.5	80.30	83.64	2.148	0.076

DBP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	47.67	49.84	55.0	62.42	67.97	-2.245	0.086
♂	6	47.35	49.71	55.3	63.19	68.93	-1.884	0.092
♂	7	46.89	49.47	55.5	63.80	69.65	-1.520	0.098
♂	8	46.53	49.32	55.7	64.18	69.92	-1.155	0.102
♂	9	46.13	49.11	55.8	64.35	69.89	-0.813	0.105
♂	10	45.80	48.93	55.8	64.23	69.50	-0.505	0.106
♂	11	45.72	48.96	55.9	64.09	69.02	-0.229	0.105
♂	12	45.64	49.00	56.0	63.97	68.62	0.031	0.104
♂	13	45.65	49.15	56.3	64.18	68.66	0.270	0.104
♂	14	45.79	49.36	56.5	64.14	68.38	0.483	0.102
♂	15	46.01	49.67	56.8	64.22	68.26	0.694	0.100
♂	16	46.23	49.97	57.1	64.31	68.16	0.908	0.098
♀	5	44.43	48.29	56.4	65.68	71.12	0.122	0.120
♀	6	44.13	47.93	55.9	65.02	70.36	0.119	0.119
♀	7	43.80	47.58	55.5	64.55	69.84	0.129	0.119
♀	8	43.38	47.17	55.1	64.15	69.44	0.142	0.120
♀	9	43.06	46.85	54.8	63.89	69.20	0.141	0.121
♀	10	42.92	46.69	54.6	63.66	68.97	0.125	0.121
♀	11	42.72	46.45	54.3	63.34	68.65	0.096	0.121
♀	12	42.87	46.51	54.2	63.10	68.36	0.043	0.119
♀	13	43.40	46.88	54.3	62.96	68.12	-0.051	0.115
♀	14	44.19	47.47	54.5	62.78	67.76	-0.174	0.109
♀	15	45.23	48.30	54.9	62.74	67.49	-0.316	0.102
♀	16	46.17	49.07	55.3	62.77	67.34	-0.467	0.096

MAP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	68.05	70.75	76.9	85.05	90.61	-2.063	0.071
♂	6	68.79	71.60	77.9	86.03	91.40	-1.772	0.071
♂	7	69.33	72.25	78.7	86.77	91.93	-1.447	0.071
♂	8	69.54	72.62	79.3	87.39	92.42	-1.078	0.072
♂	9	69.51	72.78	79.7	87.78	92.62	-0.651	0.073
♂	10	69.34	72.90	80.2	88.35	93.05	-0.146	0.075
♂	11	69.26	73.14	80.8	88.88	93.34	0.443	0.076
♂	12	69.25	73.59	81.7	89.72	93.93	1.119	0.077
♂	13	69.13	74.06	82.7	90.65	94.64	1.822	0.078
♂	14	69.08	74.68	83.8	91.61	95.37	2.525	0.078
♂	15	68.95	75.43	85.1	92.80	96.36	3.222	0.078
♂	16	68.86	76.29	86.4	93.92	97.28	3.919	0.077
♀	5	66.98	70.43	77.2	84.28	88.16	0.487	0.070
♀	6	67.23	70.86	77.8	84.82	88.57	0.864	0.070
♀	7	67.12	71.00	78.2	85.24	88.91	1.239	0.071
♀	8	67.14	71.23	78.6	85.56	89.11	1.618	0.071
♀	9	67.11	71.45	79.0	85.89	89.32	2.001	0.071
♀	10	67.08	71.67	79.4	86.22	89.56	2.352	0.071
♀	11	66.97	71.88	79.9	86.78	90.08	2.640	0.072
♀	12	67.00	72.21	80.5	87.46	90.77	2.836	0.073
♀	13	67.19	72.65	81.2	88.28	91.62	2.957	0.074
♀	14	67.61	73.22	81.9	89.01	92.34	3.061	0.074
♀	15	68.08	73.74	82.4	89.43	92.71	3.183	0.073
♀	16	68.64	74.35	83.0	89.96	93.19	3.302	0.072

MAP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	73.03	76.47	83.5	91.27	95.71	-0.132	0.069
♂	6	73.18	76.79	84.1	92.11	96.66	-0.007	0.071
♂	7	73.14	76.91	84.5	92.74	97.37	0.127	0.073
♂	8	72.84	76.83	84.8	93.36	98.13	0.272	0.076
♂	9	72.47	76.65	84.9	93.62	98.44	0.442	0.078
♂	10	72.17	76.53	85.0	93.74	98.48	0.682	0.079
♂	11	71.93	76.56	85.3	94.05	98.68	0.998	0.080
♂	12	71.81	76.80	85.9	94.65	99.16	1.378	0.081
♂	13	71.87	77.28	86.8	95.59	100.00	1.755	0.082
♂	14	72.09	78.01	88.0	96.86	101.20	2.117	0.083
♂	15	72.62	79.03	89.4	98.26	102.51	2.464	0.083
♂	16	72.81	79.88	90.8	99.76	103.96	2.806	0.084
♀	5	70.26	74.99	83.7	92.17	96.56	1.277	0.080
♀	6	70.39	75.19	83.9	92.21	96.46	1.465	0.079
♀	7	70.42	75.30	84.0	92.14	96.26	1.656	0.078
♀	8	70.45	75.41	84.1	92.08	96.07	1.857	0.077
♀	9	70.47	75.52	84.2	92.01	95.88	2.066	0.076
♀	10	70.36	75.60	84.4	92.16	95.95	2.274	0.076
♀	11	70.34	75.77	84.7	92.42	96.15	2.474	0.076
♀	12	70.47	76.12	85.2	92.91	96.59	2.663	0.076
♀	13	70.53	76.51	85.9	93.71	97.39	2.843	0.077
♀	14	70.96	77.07	86.5	94.21	97.82	3.026	0.076
♀	15	71.11	77.49	87.1	94.80	98.37	3.219	0.076
♀	16	71.51	78.06	87.7	95.30	98.79	3.415	0.075

MAP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	58.46	60.94	66.7	74.67	80.35	-2.191	0.078
♂	6	58.96	61.59	67.7	76.03	81.87	-1.955	0.081
♂	7	59.33	62.14	68.6	77.26	83.21	-1.696	0.084
♂	8	59.48	62.46	69.2	78.00	83.86	-1.393	0.086
♂	9	59.48	62.65	69.7	78.58	84.29	-1.040	0.088
♂	10	59.22	62.62	70.0	78.91	84.39	-0.631	0.090
♂	11	59.12	62.80	70.5	79.30	84.47	-0.147	0.091
♂	12	59.13	63.17	71.2	79.78	84.54	0.437	0.091
♂	13	59.41	63.83	72.1	80.28	84.58	1.097	0.089
♂	14	59.83	64.66	73.1	80.84	84.71	1.777	0.086
♂	15	60.30	65.52	74.0	81.25	84.73	2.469	0.082
♂	16	61.01	66.54	74.9	81.62	84.73	3.164	0.077
♀	5	57.11	61.00	68.7	76.85	81.34	0.507	0.090
♀	6	57.03	60.99	68.8	77.03	81.56	0.549	0.091
♀	7	56.83	60.87	68.8	77.09	81.63	0.617	0.092
♀	8	56.47	60.66	68.8	77.23	81.80	0.711	0.094
♀	9	56.29	60.60	68.9	77.38	81.93	0.824	0.095
♀	10	56.14	60.62	69.1	77.62	82.14	0.970	0.096
♀	11	55.91	60.59	69.3	77.83	82.29	1.160	0.097
♀	12	55.80	60.72	69.6	78.05	82.38	1.399	0.097
♀	13	56.08	61.18	70.1	78.31	82.43	1.676	0.095
♀	14	56.32	61.63	70.6	78.57	82.49	1.977	0.093
♀	15	56.81	62.28	71.2	78.87	82.57	2.287	0.090
♀	16	57.13	62.83	71.8	79.27	82.80	2.593	0.088

HR_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	76.82	82.04	92.3	103.09	109.02	0.558	0.089
♂	6	74.79	80.19	90.7	101.57	107.47	0.709	0.092
♂	7	73.02	78.56	89.2	100.05	105.87	0.840	0.094
♂	8	71.09	76.77	87.6	98.55	104.39	0.912	0.097
♂	9	69.50	75.17	86.0	96.98	102.85	0.893	0.099
♂	10	67.97	73.54	84.3	95.35	101.31	0.795	0.101
♂	11	66.80	72.16	82.7	93.77	99.84	0.626	0.102
♂	12	65.60	70.72	81.0	92.10	98.32	0.419	0.103
♂	13	64.34	69.20	79.2	90.34	96.74	0.186	0.104
♂	14	63.05	67.63	77.3	88.52	95.17	-0.101	0.105
♂	15	62.01	66.25	75.5	86.74	93.70	-0.450	0.105
♂	16	60.83	64.79	73.7	85.11	92.54	-0.815	0.106
♀	5	79.31	84.02	93.7	104.48	110.67	0.010	0.085
♀	6	78.16	82.65	91.9	102.25	108.22	-0.056	0.083
♀	7	75.64	80.35	90.2	101.46	108.07	-0.145	0.091
♀	8	74.17	78.80	88.6	100.02	106.83	-0.280	0.093
♀	9	72.87	77.43	87.2	98.80	105.83	-0.408	0.095
♀	10	71.50	76.03	85.8	97.51	104.68	-0.457	0.097
♀	11	70.17	74.68	84.4	96.03	103.12	-0.423	0.098
♀	12	68.81	73.34	83.1	94.78	101.92	-0.400	0.100
♀	13	67.65	72.12	81.8	93.45	100.60	-0.430	0.101
♀	14	66.61	71.04	80.6	92.05	99.04	-0.391	0.101
♀	15	65.39	69.85	79.4	90.73	97.59	-0.303	0.102
♀	16	64.17	68.65	78.2	89.40	96.12	-0.212	0.103

HR_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	83.81	90.39	101.6	111.62	116.55	2.069	0.081
♂	6	81.24	88.00	99.7	110.34	115.63	1.848	0.087
♂	7	79.00	85.80	97.8	108.94	114.55	1.627	0.092
♂	8	76.71	83.48	95.7	107.32	113.26	1.406	0.097
♂	9	74.68	81.27	93.5	105.49	111.75	1.154	0.101
♂	10	72.68	79.08	91.2	103.38	109.85	0.964	0.104
♂	11	70.94	77.04	88.9	101.18	107.85	0.743	0.106
♂	12	69.28	75.10	86.7	99.10	105.98	0.522	0.108
♂	13	67.54	73.08	84.4	96.90	104.01	0.301	0.110
♂	14	65.79	71.06	82.1	94.69	102.06	0.081	0.112
♂	15	64.04	69.06	79.8	92.49	100.14	-0.141	0.114
♂	16	62.37	67.14	77.6	90.41	98.38	-0.361	0.116
♀	5	86.85	92.73	103.7	114.53	120.21	1.128	0.082
♀	6	84.52	90.25	101.2	112.29	118.22	0.881	0.085
♀	7	82.12	87.77	98.8	110.30	116.57	0.639	0.089
♀	8	79.93	85.43	96.4	108.16	114.71	0.412	0.092
♀	9	78.02	83.32	94.2	106.30	113.24	0.126	0.095
♀	10	75.91	81.19	92.1	104.37	111.47	0.066	0.098
♀	11	74.08	79.29	90.2	102.71	110.07	-0.057	0.101
♀	12	72.59	77.68	88.5	101.15	108.72	-0.185	0.103
♀	13	71.29	76.27	87.0	99.84	107.66	-0.328	0.105
♀	14	70.18	75.02	85.6	98.48	106.46	-0.447	0.106
♀	15	69.09	73.85	84.3	97.19	105.28	-0.526	0.107
♀	16	67.97	72.65	83.0	95.87	104.01	-0.571	0.108

HR_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	61.03	65.56	75.6	88.08	95.96	-0.478	0.115
♂	6	59.57	64.23	74.5	87.17	95.10	-0.376	0.119
♂	7	58.12	62.91	73.4	86.24	94.20	-0.276	0.123
♂	8	56.78	61.66	72.3	85.18	93.08	-0.182	0.126
♂	9	55.55	60.52	71.3	84.24	92.12	-0.104	0.129
♂	10	54.39	59.39	70.2	83.09	90.89	-0.048	0.131
♂	11	53.45	58.44	69.2	81.97	89.67	-0.014	0.132
♂	12	52.64	57.58	68.2	80.76	88.32	0.006	0.132
♂	13	51.58	56.48	67.0	79.42	86.88	0.026	0.133
♂	14	50.56	55.35	65.6	77.64	84.83	0.050	0.132
♂	15	49.43	54.15	64.2	75.95	82.94	0.079	0.132
♂	16	48.32	52.93	62.7	74.05	80.76	0.112	0.131
♀	5	61.18	66.36	77.5	90.72	98.71	-0.096	0.122
♀	6	60.40	65.41	76.3	89.43	97.47	-0.195	0.122
♀	7	59.69	64.54	75.2	88.26	96.37	-0.299	0.122
♀	8	59.07	63.77	74.2	87.22	95.44	-0.413	0.122
♀	9	58.51	63.07	73.3	86.28	94.62	-0.518	0.122
♀	10	57.79	62.27	72.4	85.43	93.91	-0.591	0.123
♀	11	57.02	61.45	71.5	84.52	93.05	-0.621	0.124
♀	12	56.02	60.42	70.4	83.32	91.78	-0.607	0.125
♀	13	54.89	59.28	69.2	81.95	90.23	-0.547	0.126
♀	14	53.61	58.04	68.0	80.63	88.73	-0.446	0.128
♀	15	52.49	56.96	66.9	79.30	87.13	-0.336	0.129
♀	16	51.36	55.90	65.9	78.21	85.88	-0.235	0.131

bp_wuehl_height.ref

Citations

• Wühl E, Witte K, Soergel M, Mehls O, Schaefer F, Hypertension for the GWG on P. Distribution of 24-h ambulatory blood pressure in children: normalized reference values and role of body dimensions. Journal of Hypertension. 2002 Oct;20(10):1995.

SBP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	93.09	96.73	104.5	113.73	119.36	-1.123	0.063
♂	125	93.56	97.32	105.3	114.70	120.39	-0.991	0.064
♂	130	94.10	97.99	106.2	115.79	121.54	-0.856	0.065
♂	135	94.72	98.75	107.2	116.97	122.78	-0.709	0.066
♂	140	95.58	99.71	108.3	118.10	123.86	-0.556	0.066
♂	145	96.35	100.64	109.5	119.50	125.32	-0.406	0.067
♂	150	97.48	101.88	110.9	120.97	126.77	-0.275	0.067
♂	155	98.79	103.30	112.5	122.66	128.46	-0.155	0.067
♂	160	100.16	104.81	114.2	124.45	130.24	-0.017	0.067
♂	165	101.88	106.62	116.1	126.28	131.97	0.154	0.066
♂	170	103.34	108.28	118.0	128.25	133.88	0.378	0.066
♂	175	105.02	110.02	119.7	129.66	135.04	0.651	0.064
♂	180	106.55	111.71	121.5	131.33	136.55	0.942	0.063
♂	185	108.25	113.47	123.2	132.74	137.73	1.240	0.061
♀	120	92.26	96.26	104.0	111.98	116.31	0.593	0.059
♀	125	92.98	97.07	105.0	113.21	117.67	0.553	0.060
♀	130	93.88	98.00	106.0	114.30	118.81	0.535	0.060
♀	135	94.36	98.59	106.8	115.29	119.90	0.566	0.061
♀	140	94.80	99.17	107.6	116.27	120.94	0.657	0.062
♀	145	95.66	100.13	108.7	117.41	122.07	0.797	0.062
♀	150	96.35	101.04	109.9	118.78	123.49	0.973	0.063
♀	155	97.52	102.29	111.2	119.97	124.56	1.194	0.062
♀	160	98.77	103.59	112.4	120.89	125.27	1.485	0.060
♀	165	100.09	104.97	113.7	121.91	126.07	1.834	0.058
♀	170	101.68	106.52	115.0	122.79	126.67	2.210	0.055
♀	175	103.40	108.19	116.4	123.78	127.41	2.601	0.052

SBP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	97.82	101.90	110.8	121.71	128.55	-1.291	0.069
♂	125	97.87	102.08	111.1	121.88	128.48	-1.007	0.069
♂	130	97.99	102.34	111.5	122.16	128.54	-0.710	0.069
♂	135	98.35	102.80	112.0	122.38	128.42	-0.380	0.068
♂	140	98.89	103.46	112.7	122.84	128.60	-0.075	0.067
♂	145	99.61	104.30	113.7	123.84	129.53	0.117	0.067
♂	150	100.83	105.58	115.1	125.36	131.11	0.125	0.067
♂	155	102.65	107.34	116.8	127.12	132.96	-0.031	0.066
♂	160	104.23	108.94	118.6	129.35	135.54	-0.251	0.067
♂	165	105.94	110.71	120.6	131.80	138.34	-0.431	0.068
♂	170	107.53	112.42	122.6	134.18	140.98	-0.463	0.069
♂	175	109.02	114.03	124.4	136.10	142.92	-0.373	0.069
♂	180	110.48	115.63	126.2	138.00	144.80	-0.244	0.069
♂	185	111.91	117.21	128.0	139.89	146.67	-0.098	0.069
♀	120	95.85	100.99	110.0	118.26	122.38	2.107	0.061
♀	125	96.19	101.36	110.5	118.97	123.23	1.947	0.062
♀	130	96.53	101.72	111.0	119.69	124.09	1.804	0.063
♀	135	96.93	102.17	111.6	120.51	125.05	1.686	0.064
♀	140	97.32	102.61	112.2	121.33	126.01	1.583	0.065
♀	145	97.97	103.33	113.1	122.48	127.31	1.480	0.066
♀	150	99.13	104.47	114.3	123.82	128.76	1.367	0.066
♀	155	100.38	105.71	115.6	125.27	130.32	1.259	0.066
♀	160	102.11	107.31	117.0	126.51	131.48	1.220	0.064
♀	165	104.16	109.11	118.3	127.31	132.01	1.261	0.060
♀	170	106.64	111.25	119.8	128.15	132.50	1.332	0.055
♀	175	109.07	113.33	121.2	128.87	132.85	1.410	0.050

SBP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	80.54	84.83	93.6	103.33	108.91	-0.053	0.077
♂	125	81.33	85.63	94.6	104.85	110.87	-0.314	0.079
♂	130	82.27	86.53	95.6	106.25	112.67	-0.570	0.080
♂	135	83.28	87.53	96.7	107.77	114.61	-0.807	0.081
♂	140	84.34	88.59	97.9	109.39	116.64	-0.997	0.082
♂	145	85.39	89.63	99.0	110.70	118.16	-1.106	0.082
♂	150	86.50	90.74	100.1	111.78	119.23	-1.126	0.081
♂	155	87.48	91.80	101.3	113.08	120.55	-1.068	0.081
♂	160	88.65	93.04	102.6	114.28	121.58	-0.948	0.080
♂	165	89.96	94.44	104.1	115.69	122.80	-0.795	0.079
♂	170	91.09	95.73	105.6	117.24	124.28	-0.626	0.079
♂	175	92.47	97.21	107.2	118.75	125.60	-0.451	0.078
♂	180	93.58	98.49	108.7	120.30	127.08	-0.277	0.078
♂	185	94.69	99.77	110.2	121.85	128.55	-0.100	0.078
♀	120	81.40	86.25	95.0	103.32	107.57	1.565	0.070
♀	125	82.20	86.92	95.7	104.34	108.86	1.184	0.071
♀	130	82.79	87.46	96.4	105.49	110.36	0.823	0.073
♀	135	83.16	87.80	96.9	106.43	111.65	0.518	0.075
♀	140	83.56	88.21	97.5	107.46	113.02	0.292	0.077
♀	145	83.86	88.58	98.1	108.46	114.30	0.167	0.079
♀	150	84.35	89.17	98.9	109.47	115.43	0.186	0.080
♀	155	85.25	90.19	100.0	110.45	116.24	0.378	0.079
♀	160	86.14	91.25	101.1	111.20	116.64	0.745	0.077
♀	165	87.27	92.51	102.2	111.64	116.56	1.272	0.073
♀	170	88.20	93.71	103.4	112.33	116.80	1.903	0.070
♀	175	88.84	94.77	104.6	113.15	117.30	2.579	0.068

DBP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	56.16	59.08	65.6	73.93	79.35	-1.177	0.087
♂	125	56.27	59.28	65.9	74.15	79.38	-0.957	0.087
♂	130	56.29	59.38	66.1	74.25	79.31	-0.733	0.087
♂	135	56.49	59.65	66.4	74.38	79.20	-0.511	0.086
♂	140	56.52	59.76	66.6	74.51	79.20	-0.322	0.086
♂	145	56.77	60.06	66.9	74.68	79.23	-0.183	0.085
♂	150	57.00	60.29	67.1	74.77	79.22	-0.107	0.084
♂	155	57.19	60.46	67.2	74.79	79.19	-0.110	0.083
♂	160	57.34	60.57	67.3	74.93	79.39	-0.189	0.083
♂	165	57.71	60.87	67.5	75.12	79.61	-0.324	0.082
♂	170	58.01	61.09	67.6	75.19	79.74	-0.479	0.081
♂	175	58.39	61.39	67.8	75.38	79.98	-0.635	0.080
♂	180	58.86	61.76	68.0	75.46	80.03	-0.785	0.078
♂	185	59.22	62.06	68.2	75.64	80.25	-0.932	0.077
♀	120	56.13	59.88	65.9	70.99	73.41	2.996	0.065
♀	125	55.43	59.44	65.9	71.39	74.02	2.790	0.070
♀	130	54.85	59.09	66.0	71.91	74.75	2.592	0.075
♀	135	54.29	58.76	66.1	72.44	75.51	2.407	0.080
♀	140	53.93	58.54	66.2	72.91	76.17	2.221	0.084
♀	145	53.81	58.44	66.3	73.32	76.77	2.006	0.087
♀	150	54.01	58.56	66.5	73.79	77.44	1.743	0.089
♀	155	54.85	59.07	66.7	73.97	77.69	1.435	0.087
♀	160	56.02	59.84	67.0	74.09	77.83	1.088	0.083
♀	165	57.34	60.77	67.4	74.24	77.94	0.700	0.078
♀	170	59.00	62.01	68.0	74.39	77.94	0.285	0.071
♀	175	60.58	63.23	68.6	74.50	77.85	-0.136	0.064

DBP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	59.57	64.07	72.3	80.22	84.30	1.345	0.087
♂	125	59.61	64.13	72.3	80.09	84.08	1.436	0.086
♂	130	59.41	63.99	72.2	79.94	83.88	1.531	0.086
♂	135	59.36	63.95	72.1	79.70	83.55	1.629	0.085
♂	140	59.59	64.11	72.1	79.50	83.23	1.711	0.083
♂	145	59.69	64.19	72.1	79.40	83.06	1.763	0.082
♂	150	59.83	64.28	72.1	79.31	82.92	1.777	0.081
♂	155	60.04	64.40	72.1	79.23	82.82	1.740	0.080
♂	160	60.06	64.43	72.2	79.46	83.13	1.650	0.081
♂	165	60.30	64.58	72.3	79.62	83.36	1.509	0.081
♂	170	60.59	64.83	72.6	80.10	83.98	1.329	0.082
♂	175	60.96	65.09	72.8	80.40	84.38	1.136	0.082
♂	180	61.27	65.35	73.1	80.90	85.05	0.939	0.083
♂	185	61.72	65.70	73.4	81.31	85.59	0.741	0.083
♀	120	61.22	65.60	73.2	80.11	83.55	1.952	0.077
♀	125	60.42	64.95	72.8	79.94	83.50	1.915	0.080
♀	130	59.62	64.30	72.4	79.77	83.44	1.881	0.083
♀	135	58.74	63.64	72.1	79.79	83.62	1.851	0.087
♀	140	58.02	63.07	71.8	79.72	83.66	1.832	0.090
♀	145	57.61	62.78	71.7	79.78	83.79	1.828	0.092
♀	150	57.68	62.87	71.8	79.89	83.90	1.836	0.092
♀	155	58.16	63.24	72.0	79.94	83.88	1.846	0.090
♀	160	59.35	64.11	72.4	79.96	83.73	1.835	0.085
♀	165	61.30	65.57	73.1	80.05	83.54	1.799	0.077
♀	170	63.34	67.13	73.9	80.24	83.44	1.739	0.069
♀	175	65.46	68.79	74.8	80.50	83.41	1.671	0.061

DBP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	45.29	48.30	54.3	60.69	64.24	0.440	0.089
♂	125	45.42	48.55	54.8	61.48	65.19	0.430	0.092
♂	130	45.39	48.63	55.1	62.05	65.92	0.421	0.095
♂	135	45.44	48.79	55.5	62.73	66.77	0.410	0.098
♂	140	45.50	48.92	55.8	63.23	67.39	0.398	0.100
♂	145	45.57	49.03	56.0	63.54	67.76	0.391	0.101
♂	150	45.73	49.21	56.2	63.76	68.00	0.395	0.101
♂	155	45.71	49.20	56.2	63.75	67.98	0.413	0.101
♂	160	45.86	49.34	56.3	63.77	67.94	0.442	0.100
♂	165	46.08	49.56	56.5	63.90	68.01	0.487	0.099
♂	170	46.38	49.85	56.7	63.94	67.93	0.556	0.097
♂	175	46.56	50.05	56.9	64.05	67.96	0.647	0.096
♂	180	46.83	50.33	57.1	64.08	67.85	0.755	0.094
♂	185	46.98	50.52	57.3	64.18	67.86	0.871	0.093
♀	120	42.47	47.14	55.4	63.10	66.99	1.491	0.112
♀	125	42.39	46.97	55.3	63.30	67.42	1.276	0.115
♀	130	42.23	46.72	55.1	63.39	67.74	1.075	0.118
♀	135	42.09	46.45	54.8	63.30	67.84	0.891	0.120
♀	140	42.12	46.33	54.6	63.26	67.99	0.705	0.121
♀	145	42.27	46.29	54.4	63.16	68.07	0.497	0.121
♀	150	42.75	46.53	54.3	62.97	67.94	0.279	0.118
♀	155	43.35	46.88	54.3	62.79	67.77	0.074	0.114
♀	160	44.10	47.46	54.6	62.92	67.88	-0.091	0.110
♀	165	44.79	48.01	54.9	63.01	67.88	-0.200	0.106
♀	170	45.51	48.57	55.1	62.77	67.38	-0.261	0.100
♀	175	45.87	48.91	55.4	63.05	67.65	-0.296	0.099

MAP_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	67.89	70.83	77.5	86.23	92.09	-1.747	0.076
♂	125	68.19	71.27	78.1	86.70	92.23	-1.352	0.076
♂	130	68.47	71.70	78.7	87.17	92.41	-0.951	0.076
♂	135	68.72	72.12	79.3	87.65	92.63	-0.547	0.076
♂	140	69.09	72.63	79.9	88.02	92.70	-0.148	0.075
♂	145	69.17	72.95	80.5	88.64	93.19	0.235	0.076
♂	150	69.39	73.36	81.1	89.16	93.55	0.589	0.076
♂	155	69.61	73.78	81.7	89.69	93.94	0.914	0.076
♂	160	69.66	74.09	82.3	90.34	94.53	1.217	0.077
♂	165	70.02	74.68	83.1	91.11	95.20	1.509	0.077
♂	170	70.35	75.26	83.9	91.88	95.88	1.805	0.077
♂	175	70.42	75.71	84.7	92.74	96.70	2.110	0.078
♂	180	70.64	76.25	85.5	93.51	97.37	2.423	0.078
♂	185	70.56	76.65	86.3	94.37	98.19	2.737	0.079
♀	120	66.42	70.31	77.2	83.60	86.83	1.848	0.067
♀	125	66.65	70.70	77.8	84.31	87.57	1.976	0.068
♀	130	66.78	71.00	78.3	84.91	88.20	2.103	0.069
♀	135	66.62	71.09	78.7	85.50	88.84	2.236	0.071
♀	140	66.51	71.25	79.2	86.18	89.59	2.366	0.073
♀	145	66.59	71.53	79.7	86.79	90.21	2.479	0.074
♀	150	66.86	71.93	80.2	87.30	90.71	2.591	0.074
♀	155	67.37	72.52	80.8	87.81	91.16	2.751	0.073
♀	160	67.88	73.17	81.5	88.43	91.70	2.967	0.072
♀	165	68.92	74.17	82.3	88.96	92.08	3.214	0.069
♀	170	70.00	75.18	83.1	89.50	92.47	3.466	0.066
♀	175	70.93	76.17	84.0	90.23	93.10	3.728	0.064

MAP_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	71.38	75.48	83.8	92.90	98.05	0.135	0.081
♂	125	71.56	75.75	84.1	93.00	97.95	0.368	0.080
♂	130	71.65	75.94	84.3	93.00	97.75	0.604	0.079
♂	135	71.74	76.12	84.5	93.01	97.57	0.844	0.078
♂	140	71.83	76.31	84.7	93.03	97.41	1.083	0.077
♂	145	72.02	76.59	85.0	93.16	97.39	1.309	0.076
♂	150	72.14	76.86	85.4	93.52	97.68	1.509	0.076
♂	155	72.28	77.14	85.8	93.90	98.00	1.680	0.076
♂	160	72.61	77.61	86.4	94.50	98.57	1.829	0.076
♂	165	72.62	77.93	87.1	95.42	99.56	1.963	0.078
♂	170	72.77	78.41	88.0	96.57	100.78	2.092	0.080
♂	175	72.95	78.96	89.0	97.81	102.11	2.226	0.082
♂	180	73.06	79.49	90.0	99.06	103.43	2.364	0.084
♂	185	72.86	79.85	91.0	100.40	104.88	2.503	0.087
♀	120	70.08	74.94	83.3	90.83	94.55	2.092	0.074
♀	125	70.08	75.09	83.7	91.48	95.33	2.039	0.076
♀	130	70.17	75.25	84.0	91.91	95.83	2.014	0.077
♀	135	69.83	75.09	84.1	92.21	96.22	2.032	0.079
♀	140	69.70	75.11	84.3	92.50	96.54	2.099	0.080
♀	145	69.69	75.22	84.5	92.68	96.67	2.217	0.080
♀	150	69.95	75.60	84.9	92.95	96.84	2.404	0.079
♀	155	70.46	76.24	85.5	93.32	97.05	2.684	0.077
♀	160	71.19	77.08	86.2	93.69	97.20	3.042	0.074
♀	165	72.26	78.15	87.0	94.07	97.35	3.442	0.070
♀	170	74.15	79.74	88.0	94.50	97.48	3.852	0.064
♀	175	75.81	81.14	88.9	94.92	97.66	4.268	0.059

MAP_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	58.31	60.79	66.8	75.88	83.14	-2.736	0.084
♂	125	58.71	61.34	67.6	76.63	83.41	-2.305	0.085
♂	130	58.99	61.79	68.3	77.27	83.62	-1.867	0.086
♂	135	59.22	62.21	69.0	77.90	83.86	-1.411	0.087
♂	140	59.41	62.60	69.6	78.30	83.80	-0.932	0.087
♂	145	59.46	62.87	70.1	78.58	83.68	-0.427	0.087
♂	150	59.45	63.12	70.6	78.88	83.62	0.092	0.087
♂	155	59.59	63.52	71.2	79.21	83.58	0.620	0.086
♂	160	59.75	64.00	71.9	79.67	83.73	1.159	0.085
♂	165	59.92	64.55	72.7	80.25	84.05	1.706	0.084
♂	170	60.26	65.27	73.6	80.87	84.41	2.269	0.082
♂	175	60.53	66.00	74.5	81.51	84.81	2.843	0.080
♂	180	60.74	66.72	75.4	82.17	85.26	3.425	0.078
♂	185	61.11	67.51	76.2	82.65	85.54	4.010	0.075
♀	120	55.87	59.89	68.0	76.81	81.76	0.335	0.097
♀	125	56.07	60.11	68.2	76.90	81.75	0.410	0.096
♀	130	56.16	60.26	68.4	77.09	81.90	0.477	0.096
♀	135	56.16	60.31	68.5	77.16	81.93	0.553	0.096
♀	140	56.08	60.35	68.7	77.42	82.19	0.650	0.097
♀	145	56.17	60.54	69.0	77.69	82.39	0.778	0.097
♀	150	56.18	60.71	69.3	77.94	82.53	0.955	0.097
♀	155	56.53	61.19	69.8	78.20	82.57	1.202	0.095
♀	160	56.88	61.73	70.4	78.55	82.70	1.514	0.093
♀	165	57.31	62.42	71.2	79.12	83.05	1.871	0.091
♀	170	57.70	63.11	72.0	79.69	83.41	2.249	0.089
♀	175	58.05	63.80	72.8	80.27	83.81	2.638	0.087

HR_24H

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	72.00	78.44	89.9	100.62	106.06	1.535	0.096
♂	125	70.94	77.32	88.8	99.67	105.23	1.429	0.098
♂	130	69.86	76.14	87.6	98.62	104.31	1.300	0.100
♂	135	69.09	75.19	86.5	97.59	103.39	1.152	0.101
♂	140	68.36	74.25	85.4	96.58	102.50	0.981	0.102
♂	145	67.73	73.35	84.2	95.35	101.37	0.794	0.102
♂	150	66.85	72.25	82.9	94.13	100.30	0.601	0.103
♂	155	66.11	71.25	81.6	92.80	99.08	0.401	0.103
♂	160	65.29	70.17	80.2	91.37	97.78	0.183	0.103
♂	165	64.25	68.94	78.7	89.77	96.22	0.046	0.103
♂	170	63.41	67.80	77.2	88.30	94.99	-0.261	0.103
♂	175	62.41	66.59	75.7	86.74	93.56	-0.458	0.103
♂	180	61.29	65.28	74.1	85.06	91.99	-0.643	0.103
♂	185	60.32	64.14	72.7	83.60	90.66	-0.824	0.103
♀	120	75.76	81.13	91.6	102.49	108.41	0.668	0.091
♀	125	74.30	79.58	90.0	101.03	107.11	0.528	0.093
♀	130	73.52	78.42	88.5	99.78	106.28	0.070	0.094
♀	135	71.95	77.01	87.2	98.25	104.46	0.336	0.095
♀	140	70.88	75.94	86.2	97.39	103.71	0.299	0.097
♀	145	69.91	74.91	85.1	96.31	102.68	0.240	0.098
♀	150	69.19	74.10	84.2	95.50	102.01	0.117	0.099
♀	155	68.48	73.23	83.2	94.63	101.35	-0.068	0.100
♀	160	67.79	72.36	82.1	93.51	100.35	-0.238	0.100
♀	165	65.99	70.41	79.9	91.22	98.11	-0.360	0.101
♀	170	65.18	69.50	78.9	90.30	97.34	-0.475	0.102
♀	175	65.31	69.56	78.9	90.40	97.60	-0.590	0.102

HR_DAY

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	81.06	89.39	102.9	114.46	120.02	2.268	0.094
♂	125	79.51	87.55	101.0	112.86	118.66	2.000	0.097
♂	130	78.09	85.82	99.2	111.37	117.44	1.729	0.100
♂	135	76.73	84.19	97.5	110.00	116.35	1.473	0.103
♂	140	75.48	82.61	95.7	108.39	114.96	1.233	0.105
♂	145	73.81	80.59	93.4	106.21	112.98	1.002	0.107
♂	150	73.07	79.55	92.1	105.03	112.02	0.785	0.108
♂	155	71.79	78.03	90.4	103.51	110.75	0.587	0.110
♂	160	70.48	76.51	88.7	101.98	109.46	0.406	0.112
♂	165	69.36	75.16	87.1	100.42	108.06	0.248	0.113
♂	170	67.95	73.60	85.4	98.83	106.66	0.123	0.115
♂	175	66.58	72.11	83.8	97.33	105.32	0.028	0.117
♂	180	65.32	70.71	82.2	95.68	103.73	-0.052	0.118
♂	185	64.05	69.30	80.6	94.02	102.13	-0.127	0.119
♀	120	81.90	88.61	100.7	112.15	117.99	1.462	0.091
♀	125	80.49	86.85	98.7	110.38	116.50	1.123	0.093
♀	130	78.71	84.84	96.6	108.60	115.04	0.839	0.096
♀	135	77.01	82.98	94.7	107.00	113.74	0.620	0.099
♀	140	75.41	81.21	92.8	105.24	112.17	0.455	0.101
♀	145	74.03	79.70	91.2	103.79	110.92	0.313	0.103
♀	150	72.90	78.39	89.7	102.34	109.61	0.168	0.104
♀	155	71.96	77.27	88.4	101.14	108.61	-0.004	0.105
♀	160	71.12	76.19	87.0	99.72	107.36	-0.206	0.105
♀	165	70.61	75.46	86.0	98.79	106.68	-0.432	0.105
♀	170	70.11	74.73	85.0	97.88	106.10	-0.681	0.105
♀	175	69.40	73.83	83.9	97.03	105.73	-0.945	0.106

HR_NIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	59.12	63.57	73.3	85.17	92.52	-0.359	0.114
♂	125	57.70	62.28	72.3	84.51	92.06	-0.293	0.119
♂	130	56.54	61.26	71.6	84.20	91.98	-0.243	0.124
♂	135	55.65	60.50	71.1	84.00	91.95	-0.194	0.128
♂	140	55.04	59.96	70.7	83.68	91.64	-0.138	0.130
♂	145	54.43	59.43	70.3	83.36	91.32	-0.085	0.132
♂	150	53.88	58.91	69.8	82.84	90.75	-0.054	0.133
♂	155	53.39	58.39	69.2	82.11	89.93	-0.040	0.133
♂	160	52.71	57.64	68.3	81.05	88.79	-0.049	0.133
♂	165	51.90	56.72	67.2	79.77	87.41	-0.067	0.133
♂	170	50.92	55.62	65.8	78.01	85.43	-0.071	0.132
♂	175	49.73	54.34	64.3	76.21	83.44	-0.056	0.132
♂	180	48.46	52.94	62.6	74.07	80.99	-0.023	0.131
♂	185	47.23	51.57	60.9	71.96	78.63	-0.021	0.130
♀	120	60.57	65.53	76.1	88.45	95.81	-0.038	0.117
♀	125	59.51	64.38	74.8	87.11	94.52	-0.101	0.118
♀	130	58.75	63.50	73.8	86.16	93.70	-0.197	0.119
♀	135	58.38	62.99	73.1	85.47	93.15	-0.321	0.119
♀	140	58.06	62.57	72.6	85.15	93.10	-0.453	0.120
♀	145	57.63	62.05	72.0	84.68	92.88	-0.564	0.121
♀	150	57.07	61.43	71.3	84.06	92.41	-0.636	0.122
♀	155	56.19	60.53	70.4	83.27	91.75	-0.660	0.124
♀	160	55.24	59.57	69.4	82.15	90.51	-0.617	0.125
♀	165	53.86	58.26	68.2	80.94	89.20	-0.511	0.128
♀	170	52.50	56.99	67.0	79.55	87.51	-0.354	0.130
♀	175	50.98	55.59	65.7	77.98	85.54	-0.152	0.132

kiggs_bp.ref

Citations

• Neuhauser, H. K., Thamm, M., Ellert, U., Hense, H. W. & Rosario, A. S. Blood Pressure Percentiles by Age and Height from Nonoverweight Children and Adolescents in Germany. Pediatrics peds.2010-1290 (2011). doi:10.1542/peds.2010-1290

Category: cv

doyon_age.ref

Citations

• Doyon A, Kracht D, Bayazit AK, et al. Carotid artery intima-media thickness and distensibility in children and adolescents: reference values and role of body dimensions. Hypertension 2013;62(3):550–6

CIMT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	6	0.28	0.31	0.37	0.43	0.45	1.444	0.121
♂	7	0.28	0.31	0.37	0.43	0.46	1.309	0.121
♂	8	0.28	0.32	0.37	0.43	0.46	1.165	0.120
♂	9	0.29	0.32	0.38	0.43	0.46	1.004	0.119
♂	10	0.29	0.32	0.38	0.44	0.47	0.851	0.118
♂	11	0.29	0.32	0.38	0.44	0.47	0.735	0.118
♂	12	0.30	0.33	0.38	0.44	0.47	0.667	0.117
♂	13	0.30	0.33	0.39	0.45	0.48	0.664	0.118
♂	14	0.30	0.33	0.39	0.45	0.48	0.746	0.118
♂	15	0.30	0.34	0.40	0.46	0.49	0.890	0.119
♂	16	0.31	0.34	0.40	0.46	0.49	1.048	0.119
♂	17	0.31	0.34	0.40	0.46	0.50	1.198	0.119
♂	18	0.31	0.34	0.41	0.47	0.50	1.342	0.120
♀	6	0.28	0.31	0.37	0.42	0.44	1.268	0.112
♀	7	0.29	0.32	0.37	0.42	0.45	1.256	0.109
♀	8	0.29	0.32	0.37	0.42	0.45	1.250	0.107
♀	9	0.30	0.32	0.38	0.42	0.45	1.262	0.105
♀	10	0.30	0.33	0.38	0.43	0.45	1.282	0.105
♀	11	0.30	0.33	0.38	0.43	0.45	1.272	0.106
♀	12	0.30	0.33	0.38	0.43	0.46	1.198	0.108
♀	13	0.30	0.33	0.38	0.44	0.46	1.053	0.111
♀	14	0.30	0.33	0.38	0.44	0.47	0.873	0.114
♀	15	0.30	0.33	0.38	0.44	0.48	0.729	0.116
♀	16	0.30	0.33	0.39	0.45	0.48	0.639	0.117
♀	17	0.30	0.33	0.39	0.45	0.48	0.569	0.118
♀	18	0.31	0.33	0.39	0.45	0.48	0.591	0.117

EINC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	6	0.09	0.11	0.17	0.26	0.33	-0.091	0.337
♂	7	0.09	0.11	0.17	0.27	0.34	-0.073	0.334
♂	8	0.10	0.12	0.18	0.28	0.35	-0.051	0.329
♂	9	0.10	0.12	0.19	0.28	0.35	-0.025	0.324
♂	10	0.10	0.13	0.19	0.29	0.36	-0.005	0.316
♂	11	0.11	0.13	0.20	0.29	0.36	0.001	0.306
♂	12	0.11	0.14	0.20	0.29	0.36	0.008	0.295
♂	13	0.12	0.14	0.21	0.30	0.36	0.008	0.284
♂	14	0.12	0.15	0.21	0.30	0.36	-0.007	0.274
♂	15	0.13	0.16	0.22	0.31	0.37	-0.033	0.264
♂	16	0.14	0.16	0.22	0.31	0.37	-0.061	0.254
♂	17	0.15	0.17	0.23	0.32	0.38	-0.084	0.245
♂	18	0.15	0.18	0.24	0.33	0.39	-0.102	0.237
♀	6	0.08	0.11	0.19	0.28	0.34	0.457	0.358
♀	7	0.08	0.11	0.19	0.28	0.34	0.447	0.344
♀	8	0.09	0.12	0.19	0.28	0.34	0.428	0.329
♀	9	0.10	0.12	0.19	0.28	0.33	0.370	0.313
♀	10	0.10	0.13	0.19	0.28	0.33	0.263	0.299
♀	11	0.11	0.14	0.20	0.28	0.34	0.122	0.288
♀	12	0.11	0.14	0.20	0.29	0.35	-0.008	0.281
♀	13	0.12	0.14	0.20	0.29	0.35	-0.100	0.279
♀	14	0.12	0.14	0.20	0.29	0.36	-0.135	0.278
♀	15	0.12	0.15	0.21	0.30	0.36	-0.109	0.276
♀	16	0.12	0.15	0.21	0.29	0.36	-0.030	0.271
♀	17	0.12	0.15	0.21	0.30	0.35	0.081	0.266
♀	18	0.12	0.15	0.21	0.29	0.35	0.204	0.260

BETA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	6	1.84	2.11	2.89	4.40	5.90	-0.786	0.278
♂	7	1.85	2.14	2.94	4.40	5.74	-0.657	0.276
♂	8	1.86	2.16	2.98	4.40	5.62	-0.532	0.274
♂	9	1.87	2.19	3.03	4.42	5.54	-0.417	0.272
♂	10	1.89	2.22	3.08	4.43	5.49	-0.332	0.269
♂	11	1.92	2.26	3.12	4.45	5.46	-0.281	0.264
♂	12	1.97	2.30	3.16	4.46	5.41	-0.234	0.257
♂	13	2.01	2.35	3.21	4.46	5.35	-0.188	0.249
♂	14	2.08	2.42	3.25	4.45	5.29	-0.167	0.238
♂	15	2.16	2.49	3.30	4.44	5.24	-0.185	0.226
♂	16	2.24	2.57	3.34	4.43	5.19	-0.232	0.213
♂	17	2.34	2.65	3.39	4.42	5.13	-0.300	0.199
♂	18	2.45	2.74	3.43	4.40	5.06	-0.382	0.184
♀	6	1.35	1.83	3.00	4.56	5.55	0.373	0.353
♀	7	1.44	1.90	3.04	4.55	5.53	0.334	0.338
♀	8	1.53	1.98	3.07	4.54	5.49	0.284	0.322
♀	9	1.64	2.07	3.11	4.54	5.48	0.195	0.306
♀	10	1.76	2.15	3.14	4.53	5.48	0.059	0.290
♀	11	1.87	2.23	3.16	4.53	5.52	-0.119	0.276
♀	12	1.95	2.29	3.17	4.53	5.57	-0.294	0.265
♀	13	2.00	2.32	3.16	4.52	5.59	-0.422	0.258
♀	14	2.03	2.34	3.15	4.46	5.50	-0.479	0.250
♀	15	2.05	2.35	3.13	4.36	5.33	-0.485	0.240
♀	16	2.06	2.35	3.10	4.25	5.12	-0.451	0.229
♀	17	2.08	2.37	3.08	4.13	4.90	-0.384	0.216
♀	18	2.11	2.39	3.08	4.03	4.70	-0.301	0.203

DC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	6	25.16	40.48	69.84	99.22	114.76	1.005	0.329
♂	7	27.14	40.77	68.15	97.01	112.76	0.876	0.323
♂	8	28.73	40.90	66.50	94.91	110.92	0.748	0.318
♂	9	29.96	40.93	64.90	92.70	108.84	0.632	0.312
♂	10	30.84	40.89	63.34	90.20	106.15	0.542	0.304
♂	11	31.43	40.77	61.88	87.58	103.06	0.481	0.295
♂	12	32.02	40.71	60.48	84.82	99.63	0.429	0.284
♂	13	32.48	40.58	59.00	81.82	95.81	0.386	0.272
♂	14	32.76	40.29	57.32	78.31	91.15	0.367	0.258
♂	15	32.76	39.75	55.40	74.50	86.10	0.363	0.244
♂	16	32.63	39.02	53.19	70.32	80.68	0.353	0.229
♂	17	32.37	38.13	50.77	65.92	75.03	0.337	0.213
♂	18	32.02	37.16	48.35	61.64	69.59	0.318	0.197
♀	6	32.06	42.71	66.65	95.45	112.63	0.535	0.309
♀	7	32.60	42.62	65.46	93.50	110.48	0.473	0.303
♀	8	33.11	42.55	64.29	91.45	108.13	0.414	0.296
♀	9	33.50	42.47	63.19	89.27	105.42	0.377	0.288
♀	10	33.66	42.29	62.14	87.04	102.43	0.369	0.280
♀	11	33.39	41.84	61.12	85.04	99.71	0.388	0.275
♀	12	33.00	41.35	60.19	83.24	97.22	0.420	0.271
♀	13	32.66	40.92	59.40	81.77	95.24	0.444	0.268
♀	14	32.79	40.83	58.80	80.52	93.60	0.437	0.263
♀	15	33.42	41.13	58.40	79.38	92.07	0.404	0.255
♀	16	34.62	41.84	58.07	77.98	90.14	0.340	0.242
♀	17	35.91	42.58	57.67	76.46	88.10	0.249	0.228
♀	18	37.16	43.27	57.17	74.71	85.72	0.148	0.213

doyon_height.ref

Citations

• Doyon A, Kracht D, Bayazit AK, et al. Carotid artery intima-media thickness and distensibility in children and adolescents: reference values and role of body dimensions. Hypertension 2013;62(3):550–6

CIMT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	0.28	0.31	0.37	0.42	0.45	1.274	0.119
♂	125	0.28	0.31	0.37	0.43	0.46	1.234	0.119
♂	130	0.29	0.32	0.38	0.43	0.46	1.188	0.119
♂	135	0.29	0.32	0.38	0.43	0.46	1.133	0.119
♂	140	0.29	0.32	0.38	0.44	0.47	1.076	0.120
♂	145	0.29	0.32	0.38	0.44	0.47	1.020	0.120
♂	150	0.29	0.32	0.38	0.44	0.48	0.966	0.121
♂	155	0.30	0.33	0.39	0.45	0.48	0.908	0.121
♂	160	0.30	0.33	0.39	0.45	0.48	0.840	0.121
♂	165	0.30	0.33	0.39	0.45	0.49	0.774	0.120
♂	170	0.31	0.34	0.40	0.46	0.49	0.714	0.119
♂	175	0.31	0.34	0.40	0.46	0.49	0.670	0.118
♂	180	0.31	0.34	0.40	0.46	0.50	0.650	0.117
♂	185	0.32	0.35	0.40	0.46	0.50	0.662	0.115
♂	190	0.32	0.35	0.41	0.47	0.50	0.694	0.114
♀	120	0.29	0.32	0.37	0.42	0.44	1.585	0.108
♀	125	0.29	0.32	0.37	0.42	0.45	1.588	0.106
♀	130	0.29	0.32	0.38	0.42	0.45	1.586	0.105
♀	135	0.29	0.32	0.38	0.43	0.45	1.571	0.104
♀	140	0.30	0.33	0.38	0.43	0.45	1.533	0.104
♀	145	0.30	0.33	0.38	0.43	0.45	1.462	0.105
♀	150	0.30	0.33	0.38	0.43	0.46	1.338	0.107
♀	155	0.30	0.33	0.38	0.43	0.46	1.137	0.110
♀	160	0.30	0.33	0.38	0.44	0.47	0.872	0.113
♀	165	0.30	0.33	0.38	0.44	0.48	0.604	0.117
♀	170	0.30	0.33	0.38	0.45	0.48	0.378	0.121
♀	175	0.30	0.33	0.39	0.45	0.49	0.169	0.124
♀	180	0.30	0.33	0.39	0.46	0.50	-0.043	0.127

EINC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	0.09	0.11	0.18	0.28	0.35	0.000	0.355
♂	125	0.09	0.12	0.18	0.28	0.36	-0.003	0.346
♂	130	0.10	0.12	0.19	0.29	0.36	-0.011	0.337
♂	135	0.10	0.13	0.19	0.29	0.36	-0.030	0.326
♂	140	0.11	0.13	0.20	0.29	0.37	-0.065	0.314
♂	145	0.11	0.14	0.20	0.30	0.37	-0.104	0.301
♂	150	0.12	0.14	0.20	0.30	0.37	-0.138	0.289
♂	155	0.12	0.15	0.21	0.30	0.37	-0.162	0.280
♂	160	0.13	0.15	0.21	0.30	0.37	-0.173	0.273
♂	165	0.13	0.15	0.21	0.30	0.37	-0.160	0.267
♂	170	0.13	0.16	0.22	0.31	0.37	-0.111	0.263
♂	175	0.13	0.16	0.22	0.31	0.37	-0.023	0.261
♂	180	0.13	0.16	0.22	0.31	0.37	0.097	0.259
♂	185	0.13	0.16	0.23	0.31	0.37	0.237	0.257
♂	190	0.13	0.16	0.23	0.31	0.36	0.388	0.257
♀	120	0.08	0.11	0.19	0.28	0.34	0.449	0.357
♀	125	0.08	0.11	0.19	0.28	0.33	0.469	0.338
♀	130	0.09	0.12	0.19	0.27	0.33	0.453	0.321
♀	135	0.10	0.12	0.19	0.28	0.33	0.392	0.306
♀	140	0.10	0.13	0.20	0.28	0.33	0.290	0.293
♀	145	0.11	0.14	0.20	0.28	0.34	0.167	0.284
♀	150	0.11	0.14	0.20	0.29	0.34	0.050	0.279
♀	155	0.12	0.14	0.20	0.29	0.35	-0.038	0.276
♀	160	0.12	0.14	0.20	0.29	0.35	-0.091	0.275
♀	165	0.12	0.15	0.20	0.29	0.36	-0.129	0.275
♀	170	0.12	0.15	0.21	0.30	0.36	-0.161	0.276
♀	175	0.12	0.15	0.21	0.30	0.37	-0.193	0.277
♀	180	0.13	0.15	0.21	0.31	0.38	-0.225	0.277

BETA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	1.80	2.12	3.00	4.45	5.63	-0.363	0.287
♂	125	1.82	2.15	3.02	4.46	5.60	-0.349	0.283
♂	130	1.85	2.18	3.05	4.47	5.58	-0.337	0.279
♂	135	1.89	2.22	3.08	4.46	5.55	-0.342	0.272
♂	140	1.94	2.26	3.11	4.47	5.53	-0.375	0.264
♂	145	2.00	2.31	3.14	4.47	5.51	-0.424	0.255
♂	150	2.05	2.36	3.17	4.47	5.50	-0.470	0.247
♂	155	2.10	2.41	3.20	4.47	5.46	-0.497	0.239
♂	160	2.15	2.45	3.23	4.46	5.42	-0.495	0.232
♂	165	2.18	2.49	3.26	4.45	5.35	-0.453	0.226
♂	170	2.20	2.51	3.29	4.43	5.26	-0.359	0.221
♂	175	2.20	2.52	3.30	4.41	5.18	-0.222	0.218
♂	180	2.17	2.51	3.31	4.38	5.09	-0.056	0.217
♂	185	2.13	2.49	3.31	4.35	5.01	0.130	0.218
♂	190	2.07	2.45	3.30	4.33	4.95	0.329	0.221
♀	120	1.36	1.90	3.18	4.82	5.84	0.467	0.358
♀	125	1.45	1.96	3.17	4.73	5.70	0.425	0.339
♀	130	1.56	2.03	3.16	4.64	5.58	0.353	0.320
♀	135	1.67	2.10	3.15	4.57	5.49	0.241	0.302
♀	140	1.78	2.17	3.15	4.50	5.42	0.088	0.284
♀	145	1.87	2.23	3.14	4.45	5.38	-0.087	0.269
♀	150	1.95	2.28	3.13	4.42	5.38	-0.261	0.258
♀	155	2.00	2.31	3.12	4.40	5.40	-0.418	0.250
♀	160	2.04	2.33	3.11	4.38	5.41	-0.561	0.243
♀	165	2.08	2.36	3.10	4.35	5.42	-0.712	0.235
♀	170	2.12	2.38	3.09	4.32	5.43	-0.870	0.227
♀	175	2.16	2.41	3.08	4.28	5.41	-1.030	0.218
♀	180	2.20	2.43	3.07	4.25	5.41	-1.192	0.210

DC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	120	27.34	40.08	67.41	98.25	115.79	0.725	0.338
♂	125	28.43	40.31	66.31	96.38	113.79	0.660	0.331
♂	130	29.32	40.45	65.15	94.26	111.33	0.606	0.323
♂	135	30.01	40.52	63.92	91.71	108.12	0.574	0.313
♂	140	30.36	40.40	62.64	88.97	104.50	0.568	0.303
♂	145	30.67	40.27	61.35	86.12	100.65	0.572	0.292
♂	150	30.93	40.08	60.06	83.43	97.12	0.569	0.282
♂	155	31.26	39.91	58.77	80.84	93.79	0.551	0.272
♂	160	31.57	39.69	57.47	78.42	90.78	0.515	0.263
♂	165	31.96	39.51	56.20	76.13	88.03	0.455	0.254
♂	170	32.43	39.39	55.04	74.20	85.88	0.357	0.246
♂	175	32.95	39.34	54.03	72.67	84.37	0.222	0.239
♂	180	33.43	39.31	53.20	71.62	83.66	0.057	0.234
♂	185	33.89	39.33	52.53	70.94	83.56	-0.127	0.230
♂	190	34.35	39.39	51.96	70.43	83.81	-0.323	0.226
♀	120	31.92	41.47	64.31	94.20	113.18	0.340	0.318
♀	125	32.76	41.91	63.71	92.20	110.32	0.317	0.306
♀	130	33.43	42.21	63.03	90.19	107.48	0.296	0.295
♀	135	33.93	42.37	62.29	88.19	104.65	0.281	0.285
♀	140	34.14	42.32	61.51	86.29	101.97	0.279	0.277
♀	145	34.17	42.17	60.76	84.46	99.33	0.297	0.270
♀	150	34.00	41.92	60.10	82.92	97.07	0.330	0.265
♀	155	33.74	41.67	59.65	81.85	95.43	0.372	0.262
♀	160	33.53	41.52	59.38	81.01	94.05	0.423	0.259
♀	165	33.27	41.37	59.09	79.99	92.35	0.496	0.255
♀	170	32.86	41.09	58.67	78.79	90.42	0.583	0.251
♀	175	32.34	40.72	58.14	77.45	88.37	0.677	0.247
♀	180	31.78	40.31	57.56	76.08	86.34	0.774	0.243

Category: bf

duran_bf.ref

Citations

• 1. Duran I, Martakis K, Rehberg M, Stark C, Schafmeyer L, Schönau E. Reference Centiles for the Evaluation of Nutritional Status in Children using Body Fat Percentage, Fat Mass and Lean Body Mass Index. Journal of Clinical Densitometry [Internet] 2019 [cited 2019 Mar 19];Available from: https://linkinghub.elsevier.com/retrieve/pii/S1094695018302622

BLACK_FMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	8	2.29	2.62	4.37	8.90	11.92	0.438	-0.547	5.101
♂	9	2.28	2.61	4.39	9.26	12.71	0.451	-0.575	5.101
♂	10	2.27	2.60	4.41	9.64	13.58	0.463	-0.604	5.101
♂	11	2.27	2.60	4.43	10.01	14.53	0.473	-0.635	5.101
♂	12	2.27	2.60	4.44	10.35	15.49	0.480	-0.670	5.101
♂	13	2.28	2.60	4.45	10.65	16.48	0.484	-0.708	5.101
♂	14	2.29	2.61	4.45	10.90	17.41	0.486	-0.744	5.101
♂	15	2.29	2.60	4.42	11.00	18.06	0.486	-0.775	5.101
♂	16	2.28	2.59	4.38	11.04	18.58	0.485	-0.803	5.101
♂	17	2.29	2.59	4.35	11.00	18.84	0.481	-0.830	5.101
♂	18	2.30	2.60	4.32	10.92	19.01	0.475	-0.861	5.101
♂	19	2.31	2.60	4.29	10.83	19.17	0.468	-0.896	5.101
♀	8	2.82	3.32	5.45	10.69	15.07	0.428	-0.525	3.307
♀	9	2.91	3.45	5.77	11.31	15.76	0.437	-0.460	3.307
♀	10	2.98	3.57	6.08	11.95	16.49	0.447	-0.399	3.307
♀	11	3.06	3.70	6.39	12.57	17.22	0.455	-0.349	3.307
♀	12	3.17	3.85	6.72	13.22	17.98	0.460	-0.313	3.307
♀	13	3.31	4.03	7.07	13.88	18.81	0.462	-0.293	3.307
♀	14	3.47	4.23	7.44	14.61	19.78	0.463	-0.287	3.307
♀	15	3.65	4.45	7.83	15.41	20.89	0.464	-0.289	3.307
♀	16	3.81	4.64	8.21	16.27	22.16	0.468	-0.292	3.307
♀	17	3.95	4.82	8.58	17.19	23.54	0.474	-0.295	3.307
♀	18	4.08	4.99	8.94	18.09	24.92	0.480	-0.297	3.307
♀	19	4.21	5.16	9.29	18.95	26.23	0.485	-0.297	3.307

BLACK_LBMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	10.45	11.03	12.28	13.75	14.64	0.086	-0.500
♂	9	10.55	11.21	12.64	14.37	15.44	0.097	-0.528
♂	10	10.67	11.41	13.04	15.06	16.33	0.108	-0.545
♂	11	10.84	11.66	13.48	15.78	17.26	0.118	-0.542
♂	12	11.10	12.01	14.05	16.68	18.40	0.128	-0.537
♂	13	11.58	12.57	14.84	17.83	19.82	0.136	-0.571
♂	14	12.18	13.25	15.73	19.09	21.39	0.142	-0.657
♂	15	12.85	13.96	16.58	20.24	22.81	0.144	-0.785
♂	16	13.51	14.62	17.28	21.06	23.78	0.141	-0.930
♂	17	14.03	15.13	17.76	21.52	24.23	0.136	-1.015
♂	18	14.33	15.42	18.03	21.70	24.33	0.132	-1.009
♂	19	14.52	15.62	18.22	21.80	24.31	0.129	-0.936
♀	8	9.40	10.16	11.88	14.08	15.52	0.127	-0.532
♀	9	9.81	10.60	12.39	14.73	16.28	0.128	-0.626
♀	10	10.23	11.03	12.88	15.34	17.00	0.128	-0.738
♀	11	10.63	11.45	13.36	15.97	17.78	0.129	-0.872
♀	12	11.02	11.84	13.80	16.54	18.49	0.129	-1.018
♀	13	11.35	12.18	14.19	17.07	19.18	0.130	-1.150
♀	14	11.61	12.46	14.51	17.52	19.78	0.131	-1.250
♀	15	11.80	12.66	14.76	17.90	20.31	0.133	-1.312
♀	16	11.90	12.78	14.95	18.23	20.79	0.136	-1.336
♀	17	11.98	12.88	15.11	18.52	21.20	0.139	-1.332
♀	18	12.00	12.93	15.24	18.79	21.59	0.143	-1.299
♀	19	12.01	12.97	15.36	19.03	21.94	0.147	-1.238

WHITE_FMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	8	2.75	3.08	4.63	8.85	12.63	0.368	-0.893	4.061
♂	9	2.80	3.15	4.81	9.36	13.42	0.381	-0.845	4.061
♂	10	2.83	3.21	4.98	9.88	14.25	0.395	-0.798	4.061
♂	11	2.82	3.20	5.06	10.23	14.82	0.409	-0.753	4.061
♂	12	2.77	3.16	5.08	10.48	15.27	0.423	-0.715	4.061
♂	13	2.72	3.12	5.09	10.67	15.63	0.435	-0.683	4.061
♂	14	2.65	3.06	5.05	10.68	15.60	0.444	-0.649	4.061
♂	15	2.56	2.97	4.96	10.53	15.28	0.452	-0.610	4.061
♂	16	2.51	2.93	4.95	10.48	15.00	0.458	-0.562	4.061
♂	17	2.51	2.94	5.05	10.67	15.06	0.466	-0.506	4.061
♂	18	2.52	2.98	5.20	10.94	15.22	0.474	-0.445	4.061
♂	19	2.54	3.03	5.39	11.31	15.53	0.483	-0.383	4.061
♀	8	3.16	3.67	5.68	10.44	14.57	0.382	-0.635	3.092
♀	9	3.22	3.76	5.90	10.76	14.75	0.387	-0.555	3.092
♀	10	3.28	3.85	6.12	11.10	14.97	0.392	-0.479	3.092
♀	11	3.34	3.95	6.34	11.44	15.25	0.396	-0.417	3.092
♀	12	3.42	4.06	6.57	11.82	15.63	0.399	-0.374	3.092
♀	13	3.53	4.20	6.82	12.23	16.12	0.400	-0.351	3.092
♀	14	3.66	4.36	7.08	12.66	16.64	0.399	-0.344	3.092
♀	15	3.83	4.55	7.37	13.15	17.28	0.397	-0.350	3.092
♀	16	4.01	4.76	7.69	13.74	18.09	0.396	-0.364	3.092
♀	17	4.18	4.96	8.01	14.36	18.97	0.397	-0.375	3.092
♀	18	4.34	5.16	8.35	15.06	19.97	0.400	-0.380	3.092
♀	19	4.49	5.34	8.69	15.81	21.07	0.405	-0.381	3.092

WHITE_LBMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	9.84	10.53	11.99	13.71	14.74	0.103	-0.218
♂	9	10.03	10.69	12.13	13.86	14.92	0.101	-0.427
♂	10	10.23	10.88	12.31	14.07	15.17	0.100	-0.606
♂	11	10.47	11.14	12.64	14.52	15.73	0.103	-0.736
♂	12	10.80	11.52	13.17	15.30	16.69	0.110	-0.811
♂	13	11.24	12.05	13.91	16.38	18.03	0.119	-0.843
♂	14	11.91	12.79	14.81	17.51	19.35	0.122	-0.846
♂	15	12.68	13.60	15.71	18.52	20.42	0.120	-0.848
♂	16	13.32	14.27	16.47	19.40	21.38	0.119	-0.875
♂	17	13.80	14.77	17.04	20.08	22.16	0.119	-0.923
♂	18	14.16	15.15	17.45	20.55	22.67	0.118	-0.968
♂	19	14.51	15.49	17.76	20.80	22.86	0.114	-0.991
♀	8	8.97	9.60	11.04	12.95	14.23	0.116	-0.877
♀	9	9.33	10.00	11.50	13.44	14.70	0.115	-0.715
♀	10	9.67	10.37	11.95	13.94	15.21	0.115	-0.571
♀	11	10.02	10.75	12.38	14.41	15.69	0.114	-0.495
♀	12	10.33	11.09	12.77	14.86	16.18	0.114	-0.501
♀	13	10.63	11.40	13.12	15.28	16.66	0.114	-0.561
♀	14	10.88	11.66	13.41	15.63	17.07	0.114	-0.647
♀	15	11.09	11.87	13.64	15.92	17.42	0.114	-0.749
♀	16	11.26	12.04	13.83	16.19	17.77	0.115	-0.864
♀	17	11.38	12.17	13.98	16.41	18.07	0.116	-0.969
♀	18	11.49	12.28	14.12	16.62	18.35	0.117	-1.039
♀	19	11.58	12.38	14.26	16.85	18.66	0.119	-1.089

MEXAM_FMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	8	2.73	3.23	5.66	11.45	15.31	0.465	-0.363	4.183
♂	9	2.76	3.29	5.82	11.89	15.92	0.473	-0.347	4.183
♂	10	2.80	3.34	5.97	12.29	16.49	0.480	-0.333	4.183
♂	11	2.83	3.38	6.09	12.64	17.01	0.486	-0.326	4.183
♂	12	2.79	3.34	6.07	12.73	17.20	0.492	-0.325	4.183
♂	13	2.71	3.24	5.91	12.49	16.96	0.496	-0.329	4.183
♂	14	2.62	3.13	5.71	12.16	16.62	0.498	-0.343	4.183
♂	15	2.59	3.09	5.61	12.03	16.57	0.498	-0.365	4.183
♂	16	2.62	3.12	5.63	12.15	16.88	0.496	-0.395	4.183
♂	17	2.69	3.18	5.67	12.23	17.11	0.490	-0.428	4.183
♂	18	2.77	3.26	5.73	12.32	17.32	0.482	-0.463	4.183
♂	19	2.88	3.38	5.84	12.44	17.54	0.471	-0.500	4.183
♀	8	2.98	3.50	5.41	9.73	13.62	0.379	-0.581	2.713
♀	9	3.17	3.74	5.82	10.50	14.67	0.383	-0.559	2.713
♀	10	3.37	3.98	6.23	11.25	15.67	0.386	-0.536	2.713
♀	11	3.56	4.21	6.63	11.98	16.63	0.389	-0.512	2.713
♀	12	3.73	4.44	7.01	12.65	17.47	0.391	-0.487	2.713
♀	13	3.93	4.68	7.40	13.26	18.16	0.390	-0.461	2.713
♀	14	4.12	4.91	7.78	13.82	18.75	0.388	-0.433	2.713
♀	15	4.31	5.15	8.15	14.34	19.24	0.385	-0.404	2.713
♀	16	4.49	5.37	8.51	14.84	19.74	0.383	-0.373	2.713
♀	17	4.68	5.61	8.88	15.31	20.13	0.379	-0.340	2.713
♀	18	4.88	5.86	9.26	15.78	20.54	0.375	-0.306	2.713
♀	19	5.09	6.11	9.63	16.17	20.80	0.369	-0.269	2.713

MEXAM_LBMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	9.76	10.39	11.86	13.85	15.22	0.111	-1.121
♂	9	9.96	10.65	12.24	14.36	15.79	0.116	-0.917
♂	10	10.14	10.89	12.62	14.88	16.37	0.121	-0.720
♂	11	10.40	11.22	13.08	15.47	17.02	0.125	-0.560
♂	12	10.77	11.66	13.68	16.25	17.89	0.129	-0.454
♂	13	11.29	12.25	14.41	17.15	18.90	0.131	-0.405
♂	14	11.90	12.92	15.22	18.14	20.01	0.132	-0.417
♂	15	12.57	13.62	16.01	19.07	21.06	0.131	-0.485
♂	16	13.18	14.24	16.68	19.85	21.93	0.129	-0.585
♂	17	13.61	14.68	17.13	20.35	22.50	0.127	-0.680
♂	18	13.88	14.94	17.38	20.61	22.78	0.125	-0.747
♂	19	14.00	15.06	17.49	20.73	22.91	0.124	-0.791
♀	8	7.10	7.59	8.73	10.24	11.26	0.116	-0.902
♀	9	7.43	7.95	9.15	10.78	11.91	0.118	-1.007
♀	10	7.78	8.32	9.59	11.35	12.60	0.120	-1.113
♀	11	8.13	8.69	10.03	11.93	13.30	0.122	-1.215
♀	12	8.47	9.05	10.44	12.46	13.95	0.123	-1.310
♀	13	8.74	9.33	10.77	12.89	14.49	0.124	-1.394
♀	14	8.92	9.53	11.00	13.20	14.90	0.125	-1.459
♀	15	9.01	9.62	11.12	13.38	15.14	0.126	-1.498
♀	16	9.09	9.70	11.21	13.49	15.27	0.126	-1.511
♀	17	9.14	9.76	11.29	13.61	15.42	0.127	-1.503
♀	18	9.20	9.83	11.37	13.70	15.51	0.127	-1.475
♀	19	9.22	9.86	11.43	13.78	15.60	0.128	-1.430

Category: body fat

kirk_bf.ref

Citations

• Kirk B, Bani Hassan E, Brennan-Olsen S, et al. Body composition reference ranges in community-dwelling adults using dual-energy X-ray absorptiometry: the Australian Body Composition (ABC) Study. Journal of Cachexia, Sarcopenia and Muscle 2021;12(4):880–90.

RAT_ALMAFM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	1.13	1.36	1.97	3.00	3.83	0.307	-0.310
♀	19	1.12	1.34	1.96	3.00	3.86	0.312	-0.315
♀	20	1.11	1.33	1.95	3.01	3.89	0.317	-0.320
♀	21	1.09	1.32	1.94	3.02	3.93	0.322	-0.326
♀	22	1.08	1.30	1.93	3.03	3.96	0.327	-0.331
♀	23	1.06	1.29	1.91	3.03	3.99	0.332	-0.337
♀	24	1.05	1.27	1.90	3.04	4.03	0.337	-0.343
♀	25	1.04	1.26	1.89	3.05	4.06	0.342	-0.349
♀	26	1.02	1.24	1.88	3.05	4.10	0.347	-0.355
♀	27	1.01	1.23	1.87	3.06	4.13	0.352	-0.361
♀	28	1.00	1.22	1.86	3.07	4.17	0.357	-0.367
♀	29	0.99	1.20	1.85	3.07	4.20	0.361	-0.374
♀	30	0.97	1.19	1.83	3.07	4.23	0.365	-0.380
♀	31	0.96	1.18	1.82	3.07	4.25	0.369	-0.387
♀	32	0.95	1.17	1.81	3.07	4.27	0.372	-0.393
♀	33	0.94	1.16	1.80	3.06	4.28	0.374	-0.400
♀	34	0.94	1.15	1.78	3.05	4.28	0.376	-0.407
♀	35	0.93	1.14	1.77	3.04	4.29	0.378	-0.414
♀	36	0.92	1.13	1.76	3.03	4.28	0.379	-0.421
♀	37	0.91	1.12	1.75	3.01	4.28	0.380	-0.428
♀	38	0.91	1.11	1.73	3.00	4.27	0.381	-0.436
♀	39	0.90	1.10	1.72	2.98	4.27	0.382	-0.443
♀	40	0.90	1.10	1.71	2.97	4.25	0.382	-0.451
♀	41	0.89	1.09	1.69	2.95	4.23	0.382	-0.458
♀	42	0.88	1.08	1.68	2.93	4.23	0.383	-0.466
♀	43	0.88	1.07	1.66	2.91	4.21	0.383	-0.474
♀	44	0.87	1.06	1.65	2.89	4.19	0.383	-0.482
♀	45	0.86	1.06	1.64	2.87	4.17	0.383	-0.489
♀	46	0.86	1.05	1.62	2.85	4.16	0.383	-0.498
♀	47	0.85	1.04	1.61	2.83	4.13	0.382	-0.506
♀	48	0.85	1.03	1.60	2.80	4.08	0.380	-0.514
♀	49	0.85	1.03	1.58	2.77	4.04	0.378	-0.522
♀	50	0.84	1.02	1.57	2.74	3.99	0.376	-0.531
♀	51	0.84	1.02	1.55	2.70	3.92	0.372	-0.539
♀	52	0.84	1.01	1.54	2.66	3.87	0.369	-0.548
♀	53	0.84	1.01	1.52	2.62	3.78	0.364	-0.556
♀	54	0.83	1.00	1.51	2.58	3.72	0.360	-0.565
♀	55	0.83	1.00	1.50	2.53	3.64	0.355	-0.574
♀	56	0.83	0.99	1.48	2.49	3.56	0.350	-0.583
♀	57	0.83	0.99	1.47	2.45	3.48	0.345	-0.592
♀	58	0.83	0.99	1.45	2.40	3.39	0.339	-0.601
♀	59	0.83	0.98	1.44	2.36	3.32	0.334	-0.610
♀	60	0.83	0.98	1.42	2.32	3.24	0.329	-0.619
♀	61	0.83	0.97	1.41	2.28	3.17	0.324	-0.628
♀	62	0.82	0.97	1.39	2.24	3.11	0.320	-0.638
♀	63	0.82	0.96	1.38	2.20	3.04	0.315	-0.647
♀	64	0.82	0.96	1.37	2.17	2.98	0.311	-0.657
♀	65	0.82	0.95	1.35	2.13	2.91	0.306	-0.666
♀	66	0.81	0.95	1.34	2.10	2.85	0.302	-0.676
♀	67	0.81	0.94	1.32	2.06	2.79	0.298	-0.686
♀	68	0.81	0.94	1.31	2.02	2.72	0.293	-0.696
♀	69	0.80	0.93	1.29	1.99	2.67	0.289	-0.705
♀	70	0.80	0.93	1.28	1.95	2.60	0.284	-0.715
♀	71	0.80	0.92	1.27	1.92	2.55	0.280	-0.725
♀	72	0.80	0.92	1.25	1.88	2.49	0.275	-0.735
♀	73	0.79	0.91	1.24	1.85	2.44	0.271	-0.746
♀	74	0.79	0.90	1.22	1.82	2.38	0.266	-0.756
♀	75	0.79	0.90	1.21	1.78	2.32	0.261	-0.766
♀	77	0.78	0.89	1.18	1.72	2.21	0.251	-0.787
♀	78	0.78	0.88	1.17	1.68	2.15	0.245	-0.798
♀	79	0.78	0.88	1.16	1.65	2.09	0.240	-0.808
♀	80	0.77	0.87	1.14	1.62	2.04	0.235	-0.819
♀	83	0.76	0.86	1.10	1.52	1.89	0.220	-0.851
♂	18	2.34	2.95	4.58	7.04	8.82	0.339	0.037
♂	19	2.27	2.88	4.52	7.07	8.94	0.350	0.019
♂	20	2.21	2.82	4.47	7.08	9.04	0.360	0.001
♂	21	2.14	2.75	4.41	7.11	9.17	0.371	-0.017
♂	22	2.08	2.69	4.36	7.13	9.29	0.381	-0.034
♂	23	2.03	2.62	4.30	7.15	9.41	0.391	-0.052
♂	24	1.98	2.57	4.25	7.15	9.49	0.399	-0.068
♂	25	1.94	2.52	4.19	7.13	9.53	0.405	-0.084
♂	26	1.91	2.48	4.14	7.09	9.54	0.409	-0.098
♂	27	1.89	2.45	4.09	7.03	9.50	0.411	-0.111
♂	28	1.87	2.42	4.03	6.96	9.44	0.412	-0.123
♂	29	1.85	2.40	3.99	6.88	9.35	0.411	-0.134
♂	30	1.85	2.38	3.94	6.80	9.24	0.409	-0.144
♂	31	1.84	2.36	3.90	6.71	9.13	0.407	-0.152
♂	32	1.83	2.35	3.86	6.63	9.00	0.404	-0.159
♂	33	1.82	2.33	3.83	6.55	8.90	0.402	-0.165
♂	34	1.82	2.32	3.79	6.49	8.80	0.400	-0.171
♂	35	1.82	2.31	3.77	6.42	8.69	0.397	-0.175
♂	36	1.81	2.31	3.74	6.36	8.62	0.395	-0.179
♂	37	1.81	2.30	3.72	6.31	8.52	0.392	-0.182
♂	38	1.81	2.30	3.71	6.26	8.45	0.390	-0.184
♂	39	1.82	2.30	3.69	6.21	8.36	0.387	-0.186
♂	40	1.82	2.29	3.68	6.17	8.30	0.385	-0.188
♂	41	1.82	2.29	3.66	6.12	8.21	0.382	-0.189
♂	42	1.82	2.29	3.65	6.08	8.13	0.379	-0.189
♂	43	1.82	2.29	3.64	6.04	8.07	0.377	-0.190
♂	44	1.83	2.29	3.63	5.99	7.98	0.374	-0.189
♂	45	1.83	2.29	3.62	5.95	7.91	0.371	-0.189
♂	46	1.83	2.29	3.60	5.91	7.83	0.368	-0.189
♂	47	1.83	2.29	3.59	5.87	7.76	0.366	-0.188
♂	48	1.84	2.29	3.58	5.82	7.68	0.363	-0.187
♂	49	1.83	2.29	3.57	5.79	7.61	0.361	-0.185
♂	50	1.83	2.28	3.56	5.76	7.57	0.360	-0.184
♂	51	1.83	2.28	3.54	5.73	7.52	0.359	-0.183
♂	52	1.82	2.27	3.53	5.70	7.47	0.358	-0.181
♂	53	1.82	2.26	3.51	5.66	7.42	0.357	-0.180
♂	54	1.81	2.25	3.49	5.63	7.38	0.357	-0.179
♂	55	1.80	2.24	3.48	5.59	7.32	0.356	-0.178
♂	56	1.79	2.23	3.45	5.57	7.29	0.357	-0.178
♂	57	1.77	2.21	3.43	5.53	7.24	0.357	-0.177
♂	58	1.76	2.19	3.41	5.50	7.21	0.358	-0.177
♂	59	1.74	2.17	3.38	5.46	7.17	0.359	-0.177
♂	60	1.72	2.15	3.35	5.42	7.12	0.360	-0.177
♂	61	1.71	2.13	3.32	5.38	7.08	0.361	-0.177
♂	62	1.69	2.11	3.29	5.35	7.05	0.363	-0.178
♂	63	1.67	2.08	3.26	5.31	7.00	0.364	-0.179
♂	64	1.65	2.06	3.23	5.28	6.97	0.366	-0.181
♂	65	1.62	2.04	3.20	5.24	6.93	0.368	-0.182
♂	66	1.61	2.01	3.17	5.20	6.89	0.369	-0.184
♂	67	1.59	1.99	3.14	5.16	6.85	0.371	-0.186
♂	68	1.57	1.97	3.11	5.12	6.81	0.372	-0.188
♂	69	1.55	1.95	3.08	5.08	6.76	0.373	-0.191
♂	70	1.54	1.93	3.05	5.04	6.72	0.374	-0.194
♂	71	1.52	1.91	3.02	5.00	6.67	0.375	-0.197
♂	72	1.50	1.89	2.99	4.96	6.63	0.376	-0.201
♂	73	1.49	1.87	2.96	4.91	6.57	0.376	-0.204
♂	74	1.47	1.85	2.93	4.87	6.53	0.377	-0.208
♂	75	1.46	1.83	2.90	4.83	6.48	0.377	-0.212
♂	76	1.45	1.81	2.87	4.78	6.42	0.377	-0.216
♂	77	1.44	1.80	2.84	4.73	6.35	0.376	-0.220
♂	78	1.42	1.78	2.81	4.68	6.29	0.376	-0.225
♂	79	1.41	1.76	2.78	4.63	6.22	0.375	-0.229
♂	81	1.39	1.73	2.72	4.53	6.10	0.374	-0.238
♂	82	1.37	1.71	2.69	4.48	6.03	0.373	-0.242
♂	88	1.31	1.62	2.53	4.17	5.60	0.366	-0.269

RAT_ALMBMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	0.61	0.68	0.84	1.00	1.10	0.149	0.489
♀	19	0.61	0.68	0.83	1.00	1.09	0.149	0.483
♀	20	0.60	0.68	0.83	1.00	1.09	0.150	0.477
♀	21	0.60	0.68	0.83	1.00	1.09	0.151	0.471
♀	22	0.60	0.67	0.82	0.99	1.09	0.152	0.464
♀	23	0.59	0.67	0.82	0.99	1.09	0.153	0.458
♀	24	0.59	0.67	0.82	0.99	1.09	0.154	0.452
♀	25	0.59	0.66	0.82	0.99	1.08	0.155	0.446
♀	26	0.59	0.66	0.81	0.98	1.08	0.156	0.440
♀	27	0.58	0.66	0.81	0.98	1.08	0.157	0.434
♀	28	0.58	0.65	0.81	0.98	1.08	0.158	0.428
♀	29	0.58	0.65	0.81	0.98	1.08	0.159	0.421
♀	30	0.57	0.65	0.80	0.98	1.08	0.160	0.415
♀	31	0.57	0.64	0.80	0.97	1.08	0.161	0.409
♀	32	0.57	0.64	0.80	0.97	1.07	0.161	0.403
♀	33	0.56	0.64	0.79	0.97	1.07	0.162	0.397
♀	34	0.56	0.64	0.79	0.97	1.07	0.163	0.391
♀	35	0.56	0.63	0.79	0.96	1.06	0.164	0.384
♀	36	0.56	0.63	0.78	0.96	1.06	0.164	0.378
♀	37	0.55	0.63	0.78	0.96	1.06	0.165	0.372
♀	38	0.55	0.62	0.78	0.95	1.06	0.166	0.366
♀	39	0.55	0.62	0.77	0.95	1.05	0.166	0.360
♀	40	0.54	0.62	0.77	0.95	1.05	0.167	0.354
♀	41	0.54	0.61	0.76	0.94	1.04	0.168	0.347
♀	42	0.54	0.61	0.76	0.94	1.04	0.168	0.341
♀	43	0.53	0.60	0.76	0.93	1.04	0.169	0.335
♀	44	0.53	0.60	0.75	0.93	1.03	0.170	0.329
♀	45	0.53	0.60	0.75	0.92	1.03	0.170	0.323
♀	46	0.52	0.59	0.74	0.92	1.02	0.171	0.317
♀	47	0.52	0.59	0.74	0.91	1.02	0.171	0.311
♀	48	0.52	0.59	0.74	0.91	1.01	0.172	0.304
♀	49	0.51	0.58	0.73	0.90	1.01	0.172	0.298
♀	50	0.51	0.58	0.73	0.90	1.00	0.173	0.292
♀	51	0.51	0.57	0.72	0.90	1.00	0.173	0.286
♀	52	0.50	0.57	0.72	0.89	0.99	0.174	0.280
♀	53	0.50	0.57	0.71	0.88	0.99	0.174	0.274
♀	54	0.49	0.56	0.71	0.88	0.98	0.174	0.267
♀	55	0.49	0.56	0.70	0.87	0.97	0.174	0.261
♀	56	0.49	0.55	0.70	0.87	0.97	0.175	0.255
♀	57	0.48	0.55	0.69	0.86	0.96	0.175	0.249
♀	58	0.48	0.55	0.69	0.86	0.96	0.175	0.243
♀	59	0.48	0.54	0.68	0.85	0.95	0.175	0.237
♀	60	0.47	0.54	0.68	0.84	0.94	0.175	0.230
♀	61	0.47	0.53	0.67	0.84	0.94	0.175	0.224
♀	62	0.47	0.53	0.67	0.83	0.93	0.175	0.218
♀	63	0.46	0.53	0.66	0.83	0.92	0.176	0.212
♀	64	0.46	0.52	0.66	0.82	0.92	0.176	0.206
♀	65	0.46	0.52	0.65	0.81	0.91	0.176	0.200
♀	66	0.45	0.51	0.65	0.81	0.90	0.176	0.193
♀	67	0.45	0.51	0.64	0.80	0.90	0.176	0.187
♀	68	0.45	0.51	0.64	0.79	0.89	0.176	0.181
♀	69	0.44	0.50	0.63	0.79	0.88	0.176	0.175
♀	70	0.44	0.50	0.63	0.78	0.88	0.176	0.169
♀	71	0.44	0.49	0.62	0.78	0.87	0.176	0.163
♀	72	0.43	0.49	0.62	0.77	0.86	0.176	0.157
♀	73	0.43	0.49	0.61	0.76	0.86	0.176	0.150
♀	74	0.43	0.48	0.61	0.76	0.85	0.176	0.144
♀	75	0.42	0.48	0.60	0.75	0.84	0.176	0.138
♀	77	0.42	0.47	0.59	0.74	0.83	0.177	0.126
♀	78	0.41	0.47	0.59	0.73	0.82	0.177	0.120
♀	79	0.41	0.46	0.58	0.73	0.82	0.177	0.113
♀	80	0.41	0.46	0.58	0.72	0.81	0.177	0.107
♀	83	0.40	0.45	0.56	0.71	0.79	0.177	0.089
♂	18	0.92	1.02	1.20	1.36	1.45	0.112	1.577
♂	19	0.91	1.01	1.19	1.36	1.44	0.113	1.563
♂	20	0.90	1.00	1.19	1.35	1.44	0.115	1.548
♂	21	0.89	0.99	1.18	1.35	1.44	0.117	1.533
♂	22	0.88	0.99	1.17	1.34	1.43	0.118	1.518
♂	23	0.87	0.98	1.17	1.34	1.43	0.120	1.503
♂	24	0.87	0.97	1.16	1.33	1.42	0.121	1.488
♂	25	0.86	0.97	1.15	1.33	1.42	0.122	1.473
♂	26	0.85	0.96	1.15	1.32	1.41	0.123	1.458
♂	27	0.85	0.95	1.14	1.32	1.41	0.124	1.443
♂	28	0.84	0.95	1.14	1.31	1.40	0.125	1.428
♂	29	0.84	0.94	1.13	1.31	1.40	0.125	1.414
♂	30	0.83	0.94	1.13	1.30	1.39	0.126	1.399
♂	31	0.83	0.93	1.12	1.30	1.39	0.126	1.384
♂	32	0.83	0.93	1.12	1.29	1.38	0.126	1.369
♂	33	0.82	0.93	1.11	1.29	1.38	0.127	1.354
♂	34	0.82	0.92	1.11	1.29	1.38	0.127	1.339
♂	35	0.82	0.92	1.11	1.28	1.37	0.127	1.324
♂	36	0.82	0.92	1.10	1.28	1.37	0.126	1.309
♂	37	0.82	0.92	1.10	1.28	1.37	0.126	1.295
♂	38	0.82	0.92	1.10	1.27	1.36	0.126	1.280
♂	39	0.82	0.91	1.10	1.27	1.36	0.126	1.265
♂	40	0.81	0.91	1.09	1.27	1.36	0.126	1.250
♂	41	0.81	0.91	1.09	1.26	1.35	0.126	1.235
♂	42	0.81	0.91	1.09	1.26	1.35	0.126	1.220
♂	43	0.81	0.91	1.08	1.26	1.35	0.126	1.205
♂	44	0.81	0.90	1.08	1.25	1.34	0.126	1.190
♂	45	0.81	0.90	1.08	1.25	1.34	0.126	1.175
♂	46	0.80	0.90	1.07	1.25	1.33	0.126	1.161
♂	47	0.80	0.90	1.07	1.24	1.33	0.126	1.146
♂	48	0.80	0.89	1.07	1.24	1.33	0.127	1.131
♂	49	0.79	0.89	1.06	1.23	1.32	0.127	1.116
♂	50	0.79	0.88	1.06	1.23	1.32	0.127	1.101
♂	51	0.79	0.88	1.05	1.22	1.31	0.127	1.086
♂	52	0.78	0.88	1.05	1.22	1.31	0.128	1.071
♂	53	0.78	0.87	1.04	1.21	1.30	0.128	1.056
♂	54	0.78	0.87	1.04	1.21	1.30	0.128	1.041
♂	55	0.77	0.86	1.03	1.20	1.29	0.129	1.027
♂	56	0.77	0.86	1.03	1.20	1.29	0.129	1.012
♂	57	0.76	0.85	1.02	1.19	1.28	0.130	0.997
♂	58	0.76	0.84	1.01	1.19	1.28	0.131	0.982
♂	59	0.75	0.84	1.01	1.18	1.27	0.132	0.967
♂	60	0.74	0.83	1.00	1.17	1.26	0.133	0.952
♂	61	0.74	0.83	1.00	1.17	1.26	0.134	0.937
♂	62	0.73	0.82	0.99	1.16	1.25	0.135	0.922
♂	63	0.72	0.81	0.98	1.16	1.25	0.136	0.907
♂	64	0.72	0.81	0.98	1.15	1.24	0.137	0.893
♂	65	0.71	0.80	0.97	1.14	1.24	0.138	0.878
♂	66	0.71	0.79	0.96	1.14	1.23	0.139	0.863
♂	67	0.70	0.79	0.96	1.13	1.23	0.140	0.848
♂	68	0.69	0.78	0.95	1.13	1.22	0.142	0.833
♂	69	0.69	0.78	0.95	1.12	1.22	0.143	0.818
♂	70	0.68	0.77	0.94	1.12	1.21	0.144	0.803
♂	71	0.68	0.76	0.94	1.11	1.21	0.145	0.788
♂	72	0.67	0.76	0.93	1.11	1.20	0.146	0.773
♂	73	0.67	0.75	0.92	1.10	1.20	0.148	0.759
♂	74	0.66	0.75	0.92	1.10	1.20	0.149	0.744
♂	75	0.66	0.74	0.91	1.09	1.19	0.150	0.729
♂	76	0.65	0.74	0.91	1.09	1.19	0.151	0.714
♂	77	0.65	0.73	0.90	1.08	1.18	0.152	0.699
♂	78	0.64	0.73	0.90	1.08	1.18	0.153	0.684
♂	79	0.64	0.72	0.89	1.07	1.17	0.154	0.669
♂	81	0.63	0.71	0.88	1.06	1.16	0.156	0.640
♂	82	0.62	0.71	0.88	1.06	1.16	0.157	0.625

RAT_ALMBSA_FORM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	9.24	9.95	11.38	12.92	13.79	0.102	0.388
♀	19	9.23	9.94	11.36	12.91	13.78	0.102	0.385
♀	20	9.22	9.93	11.35	12.89	13.76	0.102	0.383
♀	21	9.21	9.91	11.34	12.88	13.75	0.102	0.381
♀	22	9.20	9.90	11.32	12.87	13.73	0.102	0.378
♀	23	9.19	9.89	11.31	12.85	13.72	0.102	0.376
♀	24	9.18	9.88	11.30	12.84	13.70	0.102	0.373
♀	25	9.15	9.86	11.28	12.84	13.71	0.103	0.371
♀	26	9.14	9.84	11.27	12.82	13.69	0.103	0.368
♀	27	9.13	9.83	11.26	12.81	13.68	0.103	0.365
♀	28	9.12	9.82	11.24	12.79	13.66	0.103	0.363
♀	29	9.10	9.81	11.23	12.77	13.64	0.103	0.360
♀	30	9.09	9.80	11.21	12.76	13.63	0.103	0.357
♀	31	9.06	9.77	11.20	12.76	13.64	0.104	0.354
♀	32	9.05	9.76	11.18	12.74	13.62	0.104	0.351
♀	33	9.04	9.74	11.17	12.72	13.60	0.104	0.348
♀	34	9.03	9.73	11.15	12.70	13.58	0.104	0.345
♀	35	9.01	9.71	11.13	12.68	13.56	0.104	0.342
♀	36	9.00	9.70	11.11	12.66	13.54	0.104	0.339
♀	37	8.96	9.67	11.09	12.65	13.54	0.105	0.336
♀	38	8.95	9.65	11.07	12.63	13.51	0.105	0.333
♀	39	8.93	9.63	11.05	12.60	13.48	0.105	0.329
♀	40	8.91	9.61	11.02	12.57	13.45	0.105	0.326
♀	41	8.89	9.58	11.00	12.54	13.42	0.105	0.323
♀	42	8.86	9.56	10.97	12.51	13.38	0.105	0.319
♀	43	8.82	9.52	10.94	12.49	13.37	0.106	0.316
♀	44	8.79	9.49	10.90	12.45	13.33	0.106	0.312
♀	45	8.77	9.46	10.87	12.41	13.29	0.106	0.309
♀	46	8.74	9.43	10.83	12.37	13.25	0.106	0.305
♀	47	8.71	9.39	10.79	12.33	13.20	0.106	0.302
♀	48	8.66	9.34	10.75	12.29	13.17	0.107	0.298
♀	49	8.62	9.31	10.70	12.25	13.12	0.107	0.295
♀	50	8.59	9.27	10.66	12.19	13.07	0.107	0.291
♀	51	8.55	9.23	10.61	12.14	13.01	0.107	0.287
♀	52	8.51	9.19	10.56	12.09	12.95	0.107	0.283
♀	53	8.45	9.13	10.52	12.05	12.92	0.108	0.280
♀	54	8.41	9.09	10.46	11.99	12.85	0.108	0.276
♀	55	8.37	9.04	10.41	11.93	12.79	0.108	0.272
♀	56	8.33	8.99	10.36	11.86	12.72	0.108	0.268
♀	57	8.27	8.94	10.30	11.82	12.68	0.109	0.264
♀	58	8.22	8.89	10.25	11.75	12.61	0.109	0.260
♀	59	8.18	8.84	10.19	11.69	12.54	0.109	0.256
♀	60	8.13	8.79	10.13	11.62	12.47	0.109	0.252
♀	61	8.09	8.74	10.07	11.56	12.40	0.109	0.248
♀	62	8.02	8.67	10.01	11.50	12.35	0.110	0.244
♀	63	7.98	8.62	9.95	11.43	12.28	0.110	0.240
♀	64	7.93	8.57	9.89	11.36	12.21	0.110	0.236
♀	65	7.88	8.52	9.83	11.30	12.13	0.110	0.231
♀	66	7.82	8.46	9.77	11.24	12.08	0.111	0.227
♀	67	7.77	8.40	9.71	11.17	12.01	0.111	0.223
♀	68	7.72	8.35	9.65	11.10	11.93	0.111	0.219
♀	69	7.67	8.30	9.59	11.03	11.86	0.111	0.214
♀	70	7.61	8.24	9.53	10.98	11.81	0.112	0.210
♀	71	7.56	8.18	9.47	10.91	11.74	0.112	0.205
♀	72	7.52	8.13	9.41	10.84	11.66	0.112	0.201
♀	73	7.45	8.07	9.35	10.78	11.61	0.113	0.197
♀	74	7.41	8.02	9.29	10.72	11.54	0.113	0.192
♀	75	7.36	7.97	9.23	10.65	11.47	0.113	0.188
♀	77	7.26	7.86	9.11	10.53	11.35	0.114	0.178
♀	78	7.21	7.81	9.05	10.46	11.27	0.114	0.174
♀	79	7.16	7.76	8.99	10.39	11.20	0.114	0.169
♀	80	7.12	7.71	8.94	10.32	11.13	0.114	0.164
♀	83	6.96	7.55	8.76	10.13	10.93	0.115	0.150
♂	18	12.72	13.44	14.87	16.37	17.21	0.077	0.434
♂	19	12.68	13.41	14.87	16.42	17.28	0.079	0.392
♂	20	12.61	13.36	14.88	16.49	17.39	0.082	0.350
♂	21	12.56	13.33	14.88	16.54	17.47	0.084	0.309
♂	22	12.51	13.30	14.87	16.58	17.53	0.086	0.269
♂	23	12.46	13.25	14.86	16.61	17.60	0.088	0.231
♂	24	12.43	13.23	14.84	16.61	17.62	0.089	0.195
♂	25	12.37	13.17	14.82	16.63	17.67	0.091	0.162
♂	26	12.32	13.13	14.79	16.63	17.67	0.092	0.133
♂	27	12.28	13.09	14.76	16.61	17.68	0.093	0.109
♂	28	12.25	13.06	14.72	16.57	17.64	0.093	0.088
♂	29	12.20	13.01	14.69	16.56	17.63	0.094	0.072
♂	30	12.17	12.98	14.65	16.52	17.60	0.094	0.060
♂	31	12.15	12.95	14.62	16.48	17.56	0.094	0.051
♂	32	12.15	12.94	14.59	16.43	17.49	0.093	0.045
♂	33	12.12	12.92	14.56	16.39	17.46	0.093	0.042
♂	34	12.10	12.90	14.53	16.37	17.43	0.093	0.041
♂	35	12.11	12.89	14.51	16.32	17.36	0.092	0.042
♂	36	12.11	12.89	14.49	16.28	17.31	0.091	0.046
♂	37	12.10	12.88	14.47	16.26	17.28	0.091	0.053
♂	38	12.11	12.88	14.46	16.22	17.23	0.090	0.062
♂	39	12.09	12.86	14.44	16.20	17.21	0.090	0.075
♂	40	12.10	12.86	14.42	16.15	17.15	0.089	0.092
♂	41	12.08	12.84	14.40	16.13	17.12	0.089	0.114
♂	42	12.08	12.84	14.38	16.08	17.05	0.088	0.139
♂	43	12.05	12.81	14.36	16.06	17.02	0.088	0.170
♂	44	12.03	12.79	14.34	16.03	16.98	0.088	0.204
♂	45	12.00	12.76	14.31	15.99	16.94	0.088	0.244
♂	46	11.96	12.73	14.28	15.96	16.90	0.088	0.287
♂	47	11.95	12.72	14.25	15.90	16.82	0.087	0.335
♂	48	11.92	12.68	14.22	15.86	16.77	0.087	0.387
♂	49	11.88	12.65	14.18	15.81	16.71	0.087	0.442
♂	50	11.83	12.61	14.14	15.76	16.66	0.087	0.502
♂	51	11.79	12.57	14.10	15.71	16.59	0.087	0.564
♂	52	11.74	12.52	14.06	15.66	16.53	0.087	0.630
♂	53	11.68	12.47	14.01	15.60	16.46	0.087	0.699
♂	54	11.62	12.42	13.96	15.53	16.38	0.087	0.772
♂	55	11.54	12.35	13.90	15.48	16.33	0.088	0.847
♂	56	11.47	12.29	13.84	15.41	16.24	0.088	0.927
♂	57	11.40	12.22	13.78	15.33	16.15	0.088	1.010
♂	58	11.32	12.15	13.71	15.25	16.05	0.088	1.096
♂	59	11.22	12.06	13.64	15.18	15.98	0.089	1.187
♂	60	11.13	11.99	13.56	15.09	15.88	0.089	1.281
♂	61	11.02	11.90	13.49	15.01	15.79	0.090	1.379
♂	62	10.93	11.82	13.41	14.92	15.69	0.090	1.480
♂	63	10.84	11.74	13.33	14.82	15.58	0.090	1.584
♂	64	10.75	11.66	13.26	14.73	15.47	0.090	1.691
♂	65	10.66	11.58	13.18	14.64	15.36	0.090	1.801
♂	66	10.54	11.49	13.10	14.56	15.28	0.091	1.911
♂	67	10.45	11.41	13.03	14.47	15.18	0.091	2.024
♂	68	10.36	11.34	12.96	14.39	15.08	0.091	2.138
♂	69	10.27	11.26	12.90	14.30	14.98	0.091	2.253
♂	70	10.18	11.20	12.83	14.22	14.89	0.091	2.367
♂	71	10.09	11.13	12.77	14.15	14.80	0.091	2.482
♂	72	10.01	11.07	12.72	14.08	14.72	0.091	2.597
♂	73	9.92	11.01	12.66	14.01	14.64	0.091	2.712
♂	74	9.84	10.95	12.61	13.95	14.57	0.091	2.826
♂	75	9.76	10.89	12.56	13.89	14.50	0.091	2.940
♂	76	9.68	10.83	12.51	13.83	14.43	0.091	3.055
♂	77	9.55	10.76	12.47	13.78	14.38	0.092	3.169
♂	78	9.47	10.71	12.42	13.72	14.31	0.092	3.282
♂	79	9.39	10.65	12.38	13.67	14.25	0.092	3.396
♂	81	9.23	10.55	12.29	13.56	14.12	0.092	3.623
♂	82	9.10	10.48	12.25	13.52	14.07	0.093	3.737
♂	88	8.64	10.17	12.00	13.21	13.72	0.094	4.418

RAT_ALMBSA_STAREA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	8.98	9.71	11.19	12.84	13.77	0.109	0.305
♀	19	8.98	9.70	11.19	12.83	13.77	0.109	0.280
♀	20	8.98	9.70	11.19	12.83	13.77	0.109	0.255
♀	21	8.98	9.70	11.18	12.83	13.78	0.109	0.229
♀	22	8.97	9.69	11.18	12.85	13.81	0.110	0.203
♀	23	8.97	9.69	11.18	12.84	13.81	0.110	0.176
♀	24	8.97	9.69	11.17	12.84	13.81	0.110	0.148
♀	25	8.97	9.69	11.17	12.84	13.81	0.110	0.121
♀	26	8.98	9.68	11.16	12.84	13.82	0.110	0.093
♀	27	8.96	9.67	11.16	12.85	13.85	0.111	0.065
♀	28	8.96	9.67	11.15	12.85	13.85	0.111	0.037
♀	29	8.96	9.67	11.15	12.85	13.85	0.111	0.009
♀	30	8.97	9.67	11.14	12.85	13.85	0.111	-0.019
♀	31	8.97	9.66	11.14	12.84	13.86	0.111	-0.047
♀	32	8.95	9.65	11.13	12.86	13.88	0.112	-0.074
♀	33	8.95	9.64	11.12	12.85	13.89	0.112	-0.101
♀	34	8.95	9.64	11.11	12.85	13.88	0.112	-0.128
♀	35	8.95	9.63	11.10	12.84	13.88	0.112	-0.154
♀	36	8.93	9.62	11.09	12.85	13.91	0.113	-0.180
♀	37	8.92	9.61	11.08	12.84	13.90	0.113	-0.206
♀	38	8.92	9.60	11.07	12.83	13.90	0.113	-0.232
♀	39	8.91	9.59	11.06	12.82	13.89	0.113	-0.257
♀	40	8.89	9.57	11.04	12.82	13.91	0.114	-0.282
♀	41	8.88	9.56	11.02	12.80	13.89	0.114	-0.305
♀	42	8.87	9.54	11.01	12.78	13.88	0.114	-0.328
♀	43	8.86	9.53	10.99	12.76	13.86	0.114	-0.349
♀	44	8.83	9.50	10.97	12.76	13.87	0.115	-0.369
♀	45	8.82	9.48	10.94	12.74	13.85	0.115	-0.387
♀	46	8.80	9.46	10.92	12.71	13.83	0.115	-0.403
♀	47	8.78	9.44	10.90	12.68	13.80	0.115	-0.417
♀	48	8.75	9.41	10.87	12.67	13.81	0.116	-0.428
♀	49	8.73	9.39	10.84	12.64	13.78	0.116	-0.438
♀	50	8.71	9.37	10.81	12.61	13.74	0.116	-0.445
♀	51	8.67	9.33	10.79	12.60	13.74	0.117	-0.450
♀	52	8.65	9.30	10.76	12.56	13.70	0.117	-0.453
♀	53	8.62	9.28	10.73	12.53	13.67	0.117	-0.454
♀	54	8.58	9.24	10.70	12.51	13.66	0.118	-0.454
♀	55	8.56	9.21	10.66	12.47	13.61	0.118	-0.451
♀	56	8.53	9.18	10.63	12.43	13.57	0.118	-0.447
♀	57	8.50	9.15	10.60	12.39	13.53	0.118	-0.441
♀	58	8.46	9.11	10.56	12.37	13.51	0.119	-0.434
♀	59	8.43	9.08	10.53	12.33	13.46	0.119	-0.425
♀	60	8.40	9.05	10.49	12.28	13.41	0.119	-0.415
♀	61	8.35	9.01	10.46	12.26	13.39	0.120	-0.403
♀	62	8.32	8.97	10.42	12.21	13.34	0.120	-0.390
♀	63	8.29	8.94	10.38	12.17	13.28	0.120	-0.376
♀	64	8.24	8.90	10.35	12.13	13.26	0.121	-0.360
♀	65	8.21	8.86	10.31	12.09	13.20	0.121	-0.343
♀	66	8.16	8.82	10.27	12.06	13.17	0.122	-0.324
♀	67	8.12	8.78	10.23	12.01	13.11	0.122	-0.305
♀	68	8.09	8.74	10.19	11.96	13.05	0.122	-0.284
♀	69	8.04	8.70	10.15	11.92	13.02	0.123	-0.263
♀	70	8.00	8.66	10.11	11.87	12.96	0.123	-0.241
♀	71	7.96	8.63	10.07	11.82	12.90	0.123	-0.219
♀	72	7.91	8.58	10.03	11.79	12.87	0.124	-0.196
♀	73	7.88	8.54	9.99	11.74	12.81	0.124	-0.174
♀	74	7.84	8.51	9.95	11.69	12.75	0.124	-0.150
♀	75	7.79	8.46	9.91	11.66	12.72	0.125	-0.127
♀	77	7.70	8.38	9.84	11.57	12.62	0.126	-0.079
♀	78	7.67	8.34	9.80	11.52	12.56	0.126	-0.055
♀	79	7.63	8.31	9.76	11.47	12.50	0.126	-0.031
♀	80	7.58	8.26	9.72	11.44	12.47	0.127	-0.007
♀	83	7.45	8.14	9.60	11.30	12.31	0.128	0.067
♂	18	11.80	12.44	13.76	15.27	16.14	0.080	-0.223
♂	19	11.90	12.57	13.97	15.59	16.54	0.084	-0.318
♂	20	12.00	12.69	14.15	15.86	16.88	0.087	-0.406
♂	21	12.07	12.78	14.30	16.10	17.19	0.090	-0.486
♂	22	12.11	12.84	14.41	16.30	17.46	0.093	-0.559
♂	23	12.14	12.88	14.48	16.44	17.65	0.095	-0.621
♂	24	12.14	12.89	14.52	16.53	17.80	0.097	-0.672
♂	25	12.14	12.89	14.53	16.58	17.87	0.098	-0.711
♂	26	12.10	12.85	14.53	16.62	17.96	0.100	-0.739
♂	27	12.09	12.84	14.51	16.61	17.94	0.100	-0.758
♂	28	12.06	12.81	14.49	16.61	17.97	0.101	-0.773
♂	29	12.04	12.79	14.47	16.59	17.95	0.101	-0.785
♂	30	12.03	12.78	14.45	16.57	17.93	0.101	-0.798
♂	31	12.02	12.77	14.44	16.55	17.92	0.101	-0.809
♂	32	12.01	12.76	14.43	16.54	17.91	0.101	-0.819
♂	33	12.02	12.77	14.42	16.51	17.86	0.100	-0.827
♂	34	12.02	12.76	14.41	16.50	17.85	0.100	-0.831
♂	35	12.04	12.77	14.41	16.48	17.81	0.099	-0.832
♂	36	12.04	12.77	14.41	16.47	17.80	0.099	-0.829
♂	37	12.03	12.77	14.40	16.47	17.80	0.099	-0.822
♂	38	12.05	12.78	14.40	16.44	17.74	0.098	-0.808
♂	39	12.04	12.77	14.40	16.43	17.73	0.098	-0.790
♂	40	12.03	12.76	14.39	16.42	17.71	0.098	-0.765
♂	41	12.01	12.75	14.37	16.40	17.68	0.098	-0.736
♂	42	12.01	12.74	14.35	16.35	17.60	0.097	-0.702
♂	43	11.98	12.72	14.33	16.32	17.56	0.097	-0.663
♂	44	11.95	12.69	14.31	16.28	17.52	0.097	-0.621
♂	45	11.92	12.66	14.28	16.24	17.46	0.097	-0.574
♂	46	11.89	12.63	14.25	16.20	17.41	0.097	-0.524
♂	47	11.85	12.60	14.21	16.16	17.35	0.097	-0.470
♂	48	11.81	12.56	14.18	16.11	17.28	0.097	-0.414
♂	49	11.76	12.52	14.14	16.06	17.21	0.097	-0.355
♂	50	11.72	12.48	14.10	16.00	17.14	0.097	-0.293
♂	51	11.67	12.43	14.05	15.94	17.07	0.097	-0.230
♂	52	11.61	12.38	14.00	15.88	16.99	0.097	-0.166
♂	53	11.56	12.33	13.95	15.81	16.90	0.097	-0.100
♂	54	11.50	12.27	13.89	15.74	16.81	0.097	-0.034
♂	55	11.43	12.22	13.84	15.66	16.72	0.097	0.034
♂	56	11.37	12.15	13.77	15.58	16.63	0.097	0.103
♂	57	11.30	12.09	13.71	15.50	16.53	0.097	0.173
♂	58	11.23	12.03	13.64	15.42	16.43	0.097	0.243
♂	59	11.14	11.94	13.58	15.36	16.36	0.098	0.314
♂	60	11.06	11.87	13.51	15.27	16.25	0.098	0.385
♂	61	10.99	11.80	13.43	15.18	16.15	0.098	0.456
♂	62	10.91	11.73	13.36	15.09	16.04	0.098	0.527
♂	63	10.83	11.66	13.29	15.00	15.94	0.098	0.598
♂	64	10.76	11.59	13.21	14.91	15.83	0.098	0.669
♂	65	10.68	11.52	13.14	14.82	15.73	0.098	0.739
♂	66	10.58	11.43	13.07	14.75	15.65	0.099	0.809
♂	67	10.51	11.36	13.00	14.66	15.55	0.099	0.878
♂	68	10.44	11.30	12.93	14.58	15.45	0.099	0.946
♂	69	10.36	11.23	12.86	14.49	15.36	0.099	1.013
♂	70	10.29	11.17	12.80	14.41	15.26	0.099	1.080
♂	71	10.23	11.10	12.74	14.34	15.18	0.099	1.145
♂	72	10.13	11.03	12.68	14.28	15.11	0.100	1.210
♂	73	10.07	10.97	12.62	14.21	15.03	0.100	1.274
♂	74	10.01	10.91	12.56	14.14	14.95	0.100	1.337
♂	75	9.94	10.86	12.51	14.07	14.87	0.100	1.399
♂	76	9.88	10.80	12.45	14.00	14.79	0.100	1.461
♂	77	9.82	10.75	12.40	13.94	14.72	0.100	1.521
♂	78	9.77	10.70	12.35	13.88	14.65	0.100	1.581
♂	79	9.68	10.63	12.30	13.83	14.60	0.101	1.640
♂	81	9.57	10.54	12.20	13.71	14.46	0.101	1.756
♂	82	9.51	10.49	12.16	13.65	14.40	0.101	1.812
♂	88	9.16	10.20	11.89	13.35	14.05	0.102	2.139

RAT_ALMBSA_TOTALAREA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	7.89	8.55	9.91	11.40	12.25	0.112	0.331
♀	19	7.89	8.55	9.91	11.40	12.25	0.112	0.304
♀	20	7.88	8.54	9.90	11.41	12.28	0.113	0.277
♀	21	7.88	8.54	9.90	11.42	12.28	0.113	0.249
♀	22	7.89	8.54	9.90	11.42	12.29	0.113	0.221
♀	23	7.89	8.55	9.90	11.42	12.29	0.113	0.192
♀	24	7.90	8.55	9.89	11.42	12.30	0.113	0.163
♀	25	7.88	8.53	9.89	11.43	12.33	0.114	0.133
♀	26	7.89	8.54	9.89	11.43	12.33	0.114	0.103
♀	27	7.89	8.54	9.89	11.43	12.34	0.114	0.073
♀	28	7.90	8.54	9.88	11.43	12.34	0.114	0.043
♀	29	7.90	8.53	9.88	11.43	12.35	0.114	0.014
♀	30	7.89	8.52	9.88	11.45	12.38	0.115	-0.016
♀	31	7.89	8.52	9.87	11.45	12.38	0.115	-0.045
♀	32	7.89	8.52	9.87	11.44	12.39	0.115	-0.074
♀	33	7.89	8.52	9.86	11.44	12.39	0.115	-0.102
♀	34	7.89	8.52	9.86	11.44	12.39	0.115	-0.131
♀	35	7.88	8.50	9.85	11.45	12.42	0.116	-0.159
♀	36	7.88	8.50	9.84	11.44	12.41	0.116	-0.187
♀	37	7.87	8.49	9.83	11.44	12.41	0.116	-0.214
♀	38	7.87	8.49	9.82	11.43	12.41	0.116	-0.242
♀	39	7.85	8.47	9.81	11.43	12.43	0.117	-0.269
♀	40	7.85	8.46	9.80	11.42	12.42	0.117	-0.295
♀	41	7.84	8.45	9.78	11.41	12.41	0.117	-0.320
♀	42	7.83	8.44	9.77	11.39	12.40	0.117	-0.345
♀	43	7.81	8.42	9.75	11.39	12.42	0.118	-0.368
♀	44	7.80	8.40	9.73	11.37	12.40	0.118	-0.389
♀	45	7.79	8.39	9.71	11.35	12.39	0.118	-0.408
♀	46	7.76	8.36	9.69	11.35	12.39	0.119	-0.425
♀	47	7.75	8.34	9.67	11.33	12.37	0.119	-0.440
♀	48	7.73	8.33	9.65	11.30	12.35	0.119	-0.452
♀	49	7.71	8.31	9.63	11.28	12.32	0.119	-0.461
♀	50	7.68	8.28	9.60	11.26	12.32	0.120	-0.469
♀	51	7.66	8.26	9.58	11.24	12.29	0.120	-0.474
♀	52	7.64	8.23	9.55	11.21	12.26	0.120	-0.477
♀	53	7.61	8.20	9.52	11.19	12.25	0.121	-0.478
♀	54	7.59	8.18	9.50	11.16	12.21	0.121	-0.477
♀	55	7.56	8.15	9.47	11.12	12.18	0.121	-0.474
♀	56	7.54	8.13	9.44	11.09	12.14	0.121	-0.469
♀	57	7.50	8.09	9.41	11.07	12.13	0.122	-0.463
♀	58	7.48	8.07	9.38	11.03	12.08	0.122	-0.455
♀	59	7.45	8.04	9.35	10.99	12.04	0.122	-0.446
♀	60	7.41	8.00	9.32	10.97	12.02	0.123	-0.435
♀	61	7.38	7.97	9.28	10.93	11.97	0.123	-0.423
♀	62	7.35	7.94	9.25	10.89	11.93	0.123	-0.409
♀	63	7.31	7.90	9.22	10.86	11.90	0.124	-0.394
♀	64	7.28	7.87	9.19	10.82	11.85	0.124	-0.378
♀	65	7.25	7.84	9.15	10.78	11.80	0.124	-0.361
♀	66	7.20	7.80	9.12	10.75	11.77	0.125	-0.342
♀	67	7.17	7.77	9.08	10.70	11.72	0.125	-0.322
♀	68	7.13	7.73	9.05	10.68	11.69	0.126	-0.301
♀	69	7.10	7.70	9.01	10.63	11.64	0.126	-0.279
♀	70	7.07	7.66	8.98	10.59	11.59	0.126	-0.256
♀	71	7.02	7.62	8.94	10.55	11.55	0.127	-0.233
♀	72	6.99	7.59	8.91	10.51	11.50	0.127	-0.210
♀	73	6.96	7.56	8.87	10.47	11.45	0.127	-0.186
♀	74	6.91	7.52	8.84	10.43	11.42	0.128	-0.162
♀	75	6.88	7.48	8.80	10.39	11.36	0.128	-0.138
♀	77	6.80	7.41	8.73	10.31	11.28	0.129	-0.089
♀	78	6.77	7.38	8.70	10.27	11.22	0.129	-0.064
♀	79	6.72	7.34	8.66	10.24	11.19	0.130	-0.039
♀	80	6.69	7.30	8.62	10.19	11.13	0.130	-0.014
♀	83	6.58	7.20	8.52	10.07	10.99	0.131	0.063
♂	18	10.51	11.09	12.29	13.65	14.44	0.081	-0.180
♂	19	10.60	11.21	12.48	13.94	14.80	0.085	-0.265
♂	20	10.69	11.32	12.64	14.19	15.10	0.088	-0.344
♂	21	10.76	11.40	12.78	14.40	15.38	0.091	-0.416
♂	22	10.80	11.46	12.88	14.58	15.62	0.094	-0.480
♂	23	10.80	11.48	12.95	14.72	15.82	0.097	-0.536
♂	24	10.80	11.49	12.98	14.81	15.95	0.099	-0.582
♂	25	10.78	11.47	12.99	14.87	16.05	0.101	-0.616
♂	26	10.76	11.46	12.99	14.89	16.09	0.102	-0.641
♂	27	10.74	11.44	12.98	14.90	16.12	0.103	-0.658
♂	28	10.71	11.41	12.96	14.90	16.14	0.104	-0.671
♂	29	10.70	11.40	12.95	14.89	16.12	0.104	-0.683
♂	30	10.69	11.39	12.93	14.87	16.11	0.104	-0.696
♂	31	10.68	11.38	12.92	14.86	16.11	0.104	-0.708
♂	32	10.68	11.37	12.92	14.86	16.10	0.104	-0.719
♂	33	10.70	11.38	12.91	14.83	16.06	0.103	-0.729
♂	34	10.70	11.38	12.91	14.83	16.06	0.103	-0.737
♂	35	10.70	11.38	12.91	14.83	16.06	0.103	-0.742
♂	36	10.71	11.39	12.91	14.81	16.03	0.102	-0.743
♂	37	10.71	11.39	12.91	14.81	16.03	0.102	-0.739
♂	38	10.73	11.41	12.91	14.79	15.99	0.101	-0.730
♂	39	10.72	11.40	12.90	14.78	15.97	0.101	-0.716
♂	40	10.71	11.39	12.90	14.77	15.96	0.101	-0.695
♂	41	10.70	11.38	12.89	14.75	15.93	0.101	-0.670
♂	42	10.68	11.37	12.87	14.73	15.90	0.101	-0.639
♂	43	10.68	11.36	12.85	14.69	15.84	0.100	-0.604
♂	44	10.66	11.34	12.83	14.66	15.80	0.100	-0.564
♂	45	10.63	11.32	12.81	14.63	15.75	0.100	-0.521
♂	46	10.60	11.29	12.79	14.59	15.71	0.100	-0.474
♂	47	10.57	11.26	12.76	14.55	15.65	0.100	-0.423
♂	48	10.53	11.23	12.73	14.51	15.60	0.100	-0.369
♂	49	10.50	11.20	12.69	14.47	15.54	0.100	-0.313
♂	50	10.45	11.16	12.66	14.42	15.48	0.100	-0.254
♂	51	10.41	11.12	12.62	14.37	15.41	0.100	-0.194
♂	52	10.36	11.07	12.57	14.31	15.34	0.100	-0.132
♂	53	10.31	11.03	12.53	14.25	15.26	0.100	-0.069
♂	54	10.26	10.98	12.48	14.19	15.18	0.100	-0.005
♂	55	10.20	10.93	12.43	14.12	15.10	0.100	0.059
♂	56	10.14	10.87	12.37	14.05	15.01	0.100	0.125
♂	57	10.08	10.81	12.31	13.97	14.93	0.100	0.192
♂	58	10.00	10.74	12.25	13.92	14.86	0.101	0.258
♂	59	9.94	10.68	12.19	13.84	14.77	0.101	0.326
♂	60	9.87	10.62	12.13	13.76	14.67	0.101	0.393
♂	61	9.80	10.55	12.06	13.68	14.58	0.101	0.461
♂	62	9.73	10.49	11.99	13.59	14.48	0.101	0.528
♂	63	9.66	10.43	11.93	13.51	14.38	0.101	0.596
♂	64	9.59	10.36	11.86	13.43	14.29	0.101	0.663
♂	65	9.50	10.28	11.80	13.36	14.22	0.102	0.729
♂	66	9.44	10.22	11.73	13.28	14.12	0.102	0.795
♂	67	9.37	10.16	11.67	13.20	14.03	0.102	0.860
♂	68	9.30	10.09	11.60	13.13	13.94	0.102	0.924
♂	69	9.24	10.03	11.54	13.05	13.85	0.102	0.988
♂	70	9.17	9.98	11.48	12.98	13.77	0.102	1.051
♂	71	9.11	9.92	11.43	12.91	13.69	0.102	1.113
♂	72	9.05	9.87	11.37	12.84	13.61	0.102	1.174
♂	73	8.97	9.80	11.32	12.79	13.55	0.103	1.234
♂	74	8.92	9.75	11.27	12.73	13.48	0.103	1.293
♂	75	8.86	9.70	11.21	12.66	13.41	0.103	1.352
♂	76	8.80	9.65	11.16	12.60	13.34	0.103	1.410
♂	77	8.75	9.60	11.12	12.54	13.27	0.103	1.467
♂	78	8.70	9.55	11.07	12.49	13.20	0.103	1.523
♂	79	8.65	9.51	11.03	12.43	13.14	0.103	1.579
♂	81	8.55	9.42	10.94	12.32	13.01	0.103	1.688
♂	82	8.47	9.36	10.90	12.28	12.97	0.104	1.742
♂	88	8.18	9.12	10.66	11.99	12.63	0.104	2.050

RAT_ALMHEIGHT2

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	5.50	6.05	7.18	8.46	9.20	0.131	0.298
♀	19	5.51	6.05	7.18	8.47	9.21	0.131	0.262
♀	20	5.51	6.05	7.19	8.48	9.24	0.132	0.226
♀	21	5.51	6.05	7.19	8.49	9.26	0.132	0.190
♀	22	5.52	6.06	7.19	8.50	9.27	0.132	0.155
♀	23	5.53	6.06	7.19	8.50	9.28	0.132	0.121
♀	24	5.53	6.06	7.20	8.52	9.31	0.133	0.088
♀	25	5.54	6.06	7.20	8.53	9.32	0.133	0.057
♀	26	5.54	6.07	7.20	8.53	9.34	0.133	0.027
♀	27	5.55	6.07	7.20	8.54	9.35	0.133	0.001
♀	28	5.55	6.07	7.20	8.56	9.38	0.134	-0.023
♀	29	5.55	6.07	7.21	8.56	9.39	0.134	-0.044
♀	30	5.56	6.08	7.21	8.57	9.40	0.134	-0.063
♀	31	5.55	6.08	7.21	8.59	9.43	0.135	-0.081
♀	32	5.56	6.08	7.22	8.59	9.44	0.135	-0.099
♀	33	5.56	6.08	7.22	8.60	9.45	0.135	-0.116
♀	34	5.57	6.09	7.22	8.61	9.46	0.135	-0.135
♀	35	5.57	6.09	7.23	8.62	9.49	0.136	-0.155
♀	36	5.57	6.09	7.23	8.63	9.50	0.136	-0.177
♀	37	5.58	6.09	7.23	8.63	9.51	0.136	-0.202
♀	38	5.58	6.09	7.23	8.64	9.52	0.136	-0.230
♀	39	5.58	6.09	7.23	8.65	9.55	0.137	-0.261
♀	40	5.58	6.09	7.22	8.65	9.56	0.137	-0.293
♀	41	5.58	6.09	7.22	8.65	9.56	0.137	-0.325
♀	42	5.57	6.07	7.21	8.66	9.58	0.138	-0.358
♀	43	5.57	6.07	7.20	8.65	9.58	0.138	-0.389
♀	44	5.57	6.06	7.19	8.64	9.58	0.138	-0.418
♀	45	5.56	6.06	7.18	8.63	9.58	0.138	-0.445
♀	46	5.55	6.04	7.17	8.63	9.59	0.139	-0.467
♀	47	5.54	6.03	7.15	8.61	9.58	0.139	-0.486
♀	48	5.53	6.01	7.13	8.60	9.56	0.139	-0.499
♀	49	5.50	5.99	7.11	8.59	9.56	0.140	-0.508
♀	50	5.49	5.98	7.09	8.56	9.53	0.140	-0.512
♀	51	5.47	5.96	7.07	8.54	9.50	0.140	-0.511
♀	52	5.45	5.94	7.05	8.51	9.47	0.140	-0.506
♀	53	5.42	5.91	7.02	8.49	9.46	0.141	-0.496
♀	54	5.40	5.89	7.00	8.46	9.42	0.141	-0.483
♀	55	5.38	5.86	6.97	8.42	9.37	0.141	-0.466
♀	56	5.34	5.83	6.95	8.40	9.35	0.142	-0.445
♀	57	5.32	5.81	6.92	8.36	9.30	0.142	-0.422
♀	58	5.29	5.78	6.89	8.32	9.25	0.142	-0.397
♀	59	5.26	5.75	6.86	8.28	9.20	0.142	-0.368
♀	60	5.23	5.72	6.83	8.26	9.17	0.143	-0.338
♀	61	5.20	5.69	6.80	8.22	9.12	0.143	-0.306
♀	62	5.17	5.67	6.78	8.18	9.07	0.143	-0.273
♀	63	5.14	5.63	6.75	8.15	9.04	0.144	-0.237
♀	64	5.11	5.61	6.72	8.11	8.99	0.144	-0.200
♀	65	5.08	5.58	6.69	8.07	8.94	0.144	-0.162
♀	66	5.04	5.55	6.67	8.04	8.90	0.145	-0.121
♀	67	5.01	5.52	6.64	8.01	8.85	0.145	-0.079
♀	68	4.98	5.49	6.61	7.97	8.80	0.145	-0.036
♀	69	4.95	5.47	6.59	7.93	8.75	0.145	0.009
♀	70	4.92	5.44	6.56	7.90	8.71	0.146	0.054
♀	71	4.89	5.41	6.53	7.86	8.66	0.146	0.101
♀	72	4.86	5.38	6.51	7.83	8.61	0.146	0.148
♀	73	4.82	5.35	6.48	7.80	8.58	0.147	0.196
♀	74	4.79	5.32	6.46	7.76	8.53	0.147	0.244
♀	75	4.76	5.30	6.43	7.73	8.48	0.147	0.292
♀	77	4.69	5.24	6.38	7.66	8.40	0.148	0.390
♀	78	4.66	5.22	6.36	7.63	8.35	0.148	0.439
♀	79	4.63	5.19	6.33	7.59	8.31	0.148	0.488
♀	80	4.59	5.16	6.31	7.57	8.28	0.149	0.538
♀	83	4.49	5.08	6.24	7.47	8.15	0.150	0.686
♂	18	7.26	7.82	8.97	10.28	11.05	0.107	0.050
♂	19	7.35	7.92	9.11	10.50	11.31	0.110	-0.016
♂	20	7.42	8.00	9.24	10.69	11.56	0.113	-0.078
♂	21	7.47	8.07	9.35	10.87	11.78	0.116	-0.134
♂	22	7.51	8.11	9.43	11.01	11.97	0.119	-0.186
♂	23	7.53	8.14	9.48	11.11	12.11	0.121	-0.233
♂	24	7.53	8.15	9.51	11.18	12.21	0.123	-0.273
♂	25	7.53	8.16	9.52	11.21	12.26	0.124	-0.308
♂	26	7.52	8.15	9.52	11.23	12.30	0.125	-0.336
♂	27	7.51	8.13	9.51	11.23	12.32	0.126	-0.360
♂	28	7.50	8.12	9.50	11.22	12.31	0.126	-0.380
♂	29	7.48	8.10	9.48	11.22	12.32	0.127	-0.398
♂	30	7.48	8.10	9.47	11.19	12.28	0.126	-0.415
♂	31	7.48	8.09	9.45	11.18	12.27	0.126	-0.430
♂	32	7.47	8.08	9.45	11.17	12.27	0.126	-0.441
♂	33	7.49	8.09	9.44	11.15	12.24	0.125	-0.449
♂	34	7.50	8.10	9.44	11.14	12.22	0.124	-0.452
♂	35	7.50	8.10	9.45	11.14	12.22	0.124	-0.452
♂	36	7.52	8.11	9.45	11.13	12.20	0.123	-0.447
♂	37	7.53	8.13	9.45	11.12	12.17	0.122	-0.437
♂	38	7.53	8.13	9.46	11.12	12.17	0.122	-0.423
♂	39	7.55	8.14	9.46	11.11	12.14	0.121	-0.405
♂	40	7.54	8.14	9.46	11.10	12.13	0.121	-0.382
♂	41	7.55	8.15	9.46	11.08	12.10	0.120	-0.356
♂	42	7.54	8.14	9.46	11.08	12.08	0.120	-0.326
♂	43	7.53	8.13	9.45	11.07	12.06	0.120	-0.293
♂	44	7.53	8.13	9.45	11.04	12.02	0.119	-0.258
♂	45	7.52	8.12	9.44	11.02	11.99	0.119	-0.220
♂	46	7.50	8.11	9.43	11.00	11.96	0.119	-0.180
♂	47	7.48	8.10	9.41	10.98	11.93	0.119	-0.138
♂	48	7.46	8.08	9.40	10.96	11.90	0.119	-0.093
♂	49	7.44	8.06	9.38	10.93	11.86	0.119	-0.048
♂	50	7.41	8.04	9.36	10.90	11.82	0.119	-0.001
♂	51	7.39	8.01	9.34	10.87	11.77	0.119	0.047
♂	52	7.37	7.99	9.31	10.82	11.70	0.118	0.096
♂	53	7.32	7.95	9.28	10.79	11.67	0.119	0.146
♂	54	7.28	7.92	9.24	10.74	11.61	0.119	0.197
♂	55	7.24	7.88	9.21	10.69	11.55	0.119	0.247
♂	56	7.20	7.84	9.17	10.64	11.49	0.119	0.299
♂	57	7.15	7.80	9.12	10.59	11.42	0.119	0.350
♂	58	7.11	7.76	9.08	10.53	11.35	0.119	0.402
♂	59	7.06	7.71	9.03	10.47	11.28	0.119	0.454
♂	60	7.01	7.67	8.99	10.41	11.20	0.119	0.505
♂	61	6.96	7.62	8.94	10.35	11.13	0.119	0.557
♂	62	6.91	7.57	8.89	10.28	11.05	0.119	0.608
♂	63	6.86	7.53	8.84	10.22	10.98	0.119	0.658
♂	64	6.79	7.47	8.79	10.17	10.92	0.120	0.709
♂	65	6.74	7.42	8.74	10.10	10.85	0.120	0.758
♂	66	6.69	7.37	8.69	10.04	10.77	0.120	0.807
♂	67	6.64	7.32	8.64	9.98	10.70	0.120	0.856
♂	68	6.59	7.28	8.59	9.92	10.63	0.120	0.903
♂	69	6.55	7.23	8.54	9.86	10.56	0.120	0.950
♂	70	6.50	7.19	8.50	9.80	10.50	0.120	0.997
♂	71	6.45	7.15	8.45	9.75	10.43	0.120	1.042
♂	72	6.39	7.10	8.41	9.71	10.39	0.121	1.087
♂	73	6.35	7.06	8.37	9.66	10.33	0.121	1.132
♂	74	6.31	7.02	8.33	9.61	10.27	0.121	1.175
♂	75	6.27	6.98	8.29	9.56	10.21	0.121	1.218
♂	76	6.23	6.95	8.26	9.51	10.16	0.121	1.261
♂	77	6.19	6.91	8.22	9.47	10.11	0.121	1.303
♂	78	6.13	6.87	8.19	9.43	10.07	0.122	1.344
♂	79	6.10	6.84	8.15	9.39	10.02	0.122	1.385
♂	81	6.03	6.77	8.09	9.31	9.93	0.122	1.465
♂	82	5.99	6.74	8.06	9.27	9.88	0.122	1.504
♂	88	5.77	6.56	7.88	9.06	9.64	0.123	1.730

RAT_ALM_PERBF

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	0.44	0.51	0.73	1.10	1.43	0.296	-0.477
♀	19	0.43	0.51	0.72	1.10	1.43	0.297	-0.482
♀	20	0.43	0.51	0.72	1.10	1.44	0.299	-0.487
♀	21	0.43	0.50	0.72	1.10	1.43	0.300	-0.492
♀	22	0.42	0.50	0.71	1.10	1.44	0.302	-0.497
♀	23	0.42	0.50	0.71	1.09	1.44	0.303	-0.502
♀	24	0.42	0.49	0.71	1.09	1.44	0.305	-0.507
♀	25	0.42	0.49	0.70	1.09	1.44	0.306	-0.512
♀	26	0.41	0.49	0.70	1.09	1.44	0.307	-0.517
♀	27	0.41	0.49	0.70	1.08	1.44	0.308	-0.522
♀	28	0.41	0.48	0.69	1.08	1.44	0.309	-0.527
♀	29	0.41	0.48	0.69	1.08	1.44	0.310	-0.532
♀	30	0.41	0.48	0.69	1.08	1.44	0.310	-0.537
♀	31	0.41	0.48	0.69	1.07	1.44	0.311	-0.542
♀	32	0.40	0.48	0.68	1.07	1.43	0.311	-0.547
♀	33	0.40	0.47	0.68	1.07	1.43	0.311	-0.551
♀	34	0.40	0.47	0.68	1.06	1.42	0.310	-0.556
♀	35	0.40	0.47	0.68	1.06	1.42	0.310	-0.561
♀	36	0.40	0.47	0.67	1.05	1.41	0.309	-0.566
♀	37	0.40	0.47	0.67	1.05	1.40	0.308	-0.571
♀	38	0.40	0.47	0.67	1.04	1.39	0.307	-0.576
♀	39	0.40	0.47	0.66	1.03	1.39	0.306	-0.581
♀	40	0.39	0.46	0.66	1.03	1.38	0.305	-0.586
♀	41	0.39	0.46	0.65	1.02	1.36	0.303	-0.591
♀	42	0.39	0.46	0.65	1.01	1.35	0.302	-0.596
♀	43	0.39	0.46	0.64	1.00	1.34	0.301	-0.601
♀	44	0.39	0.45	0.64	0.99	1.32	0.299	-0.606
♀	45	0.38	0.45	0.63	0.98	1.30	0.297	-0.611
♀	46	0.38	0.45	0.63	0.96	1.28	0.295	-0.616
♀	47	0.38	0.44	0.62	0.95	1.27	0.294	-0.621
♀	48	0.38	0.44	0.61	0.94	1.25	0.292	-0.625
♀	49	0.37	0.44	0.61	0.93	1.22	0.289	-0.630
♀	50	0.37	0.43	0.60	0.91	1.20	0.287	-0.635
♀	51	0.37	0.43	0.59	0.90	1.18	0.285	-0.640
♀	52	0.36	0.42	0.58	0.88	1.16	0.282	-0.645
♀	53	0.36	0.42	0.58	0.87	1.14	0.280	-0.650
♀	54	0.36	0.41	0.57	0.85	1.11	0.277	-0.655
♀	55	0.35	0.41	0.56	0.84	1.09	0.274	-0.660
♀	56	0.35	0.41	0.56	0.82	1.07	0.271	-0.665
♀	57	0.35	0.40	0.55	0.81	1.05	0.268	-0.670
♀	58	0.35	0.40	0.54	0.80	1.03	0.266	-0.675
♀	59	0.34	0.39	0.53	0.78	1.00	0.262	-0.680
♀	60	0.34	0.39	0.52	0.77	0.98	0.259	-0.685
♀	61	0.34	0.38	0.52	0.75	0.96	0.256	-0.690
♀	62	0.33	0.38	0.51	0.74	0.94	0.253	-0.695
♀	63	0.33	0.38	0.50	0.72	0.92	0.250	-0.699
♀	64	0.33	0.37	0.50	0.71	0.90	0.247	-0.704
♀	65	0.32	0.37	0.49	0.70	0.88	0.244	-0.709
♀	66	0.32	0.36	0.48	0.68	0.86	0.241	-0.714
♀	67	0.32	0.36	0.47	0.67	0.84	0.239	-0.719
♀	68	0.31	0.36	0.47	0.66	0.82	0.236	-0.724
♀	69	0.31	0.35	0.46	0.65	0.80	0.233	-0.729
♀	70	0.31	0.35	0.46	0.63	0.79	0.230	-0.734
♀	71	0.30	0.34	0.45	0.62	0.77	0.227	-0.739
♀	72	0.30	0.34	0.44	0.61	0.75	0.225	-0.744
♀	73	0.30	0.34	0.44	0.60	0.74	0.222	-0.749
♀	74	0.30	0.33	0.43	0.59	0.72	0.219	-0.754
♀	75	0.29	0.33	0.42	0.58	0.71	0.217	-0.759
♀	77	0.29	0.32	0.41	0.56	0.68	0.211	-0.769
♀	78	0.28	0.32	0.41	0.55	0.66	0.209	-0.773
♀	79	0.28	0.32	0.40	0.54	0.65	0.206	-0.778
♀	80	0.28	0.31	0.40	0.53	0.64	0.203	-0.783
♀	83	0.27	0.30	0.38	0.50	0.60	0.196	-0.798
♂	18	1.03	1.25	1.84	2.76	3.47	0.309	-0.159
♂	19	1.00	1.22	1.82	2.80	3.57	0.324	-0.185
♂	20	0.96	1.19	1.79	2.83	3.66	0.338	-0.210
♂	21	0.94	1.15	1.77	2.86	3.76	0.352	-0.236
♂	22	0.91	1.13	1.75	2.89	3.87	0.365	-0.261
♂	23	0.89	1.10	1.73	2.91	3.96	0.376	-0.285
♂	24	0.87	1.08	1.71	2.91	4.02	0.384	-0.307
♂	25	0.85	1.06	1.68	2.90	4.05	0.389	-0.328
♂	26	0.84	1.05	1.66	2.88	4.05	0.391	-0.347
♂	27	0.84	1.04	1.64	2.85	4.01	0.390	-0.364
♂	28	0.83	1.02	1.62	2.80	3.96	0.388	-0.379
♂	29	0.82	1.02	1.59	2.76	3.90	0.385	-0.391
♂	30	0.82	1.01	1.57	2.71	3.82	0.381	-0.402
♂	31	0.82	1.00	1.55	2.66	3.74	0.376	-0.411
♂	32	0.81	0.99	1.54	2.62	3.68	0.373	-0.420
♂	33	0.81	0.99	1.52	2.58	3.61	0.369	-0.427
♂	34	0.81	0.98	1.51	2.54	3.56	0.366	-0.434
♂	35	0.81	0.98	1.49	2.51	3.50	0.362	-0.440
♂	36	0.81	0.98	1.48	2.48	3.44	0.358	-0.446
♂	37	0.81	0.97	1.47	2.45	3.39	0.354	-0.451
♂	38	0.81	0.97	1.46	2.42	3.33	0.350	-0.456
♂	39	0.81	0.97	1.46	2.39	3.28	0.345	-0.460
♂	40	0.81	0.97	1.45	2.36	3.22	0.341	-0.463
♂	41	0.81	0.97	1.44	2.34	3.18	0.337	-0.466
♂	42	0.81	0.97	1.43	2.31	3.14	0.334	-0.468
♂	43	0.81	0.97	1.43	2.29	3.08	0.330	-0.469
♂	44	0.81	0.97	1.42	2.27	3.05	0.328	-0.469
♂	45	0.81	0.96	1.41	2.24	3.01	0.325	-0.468
♂	46	0.81	0.96	1.40	2.22	2.97	0.323	-0.466
♂	47	0.80	0.96	1.39	2.19	2.92	0.320	-0.462
♂	48	0.80	0.95	1.38	2.17	2.88	0.317	-0.458
♂	49	0.80	0.95	1.37	2.14	2.82	0.314	-0.453
♂	50	0.79	0.94	1.36	2.12	2.78	0.312	-0.447
♂	51	0.79	0.94	1.35	2.09	2.73	0.309	-0.440
♂	52	0.79	0.93	1.34	2.06	2.69	0.307	-0.433
♂	53	0.78	0.92	1.33	2.03	2.64	0.305	-0.424
♂	54	0.77	0.92	1.31	2.01	2.60	0.304	-0.415
♂	55	0.76	0.91	1.30	1.98	2.55	0.302	-0.405
♂	56	0.75	0.90	1.28	1.95	2.51	0.301	-0.394
♂	57	0.74	0.88	1.27	1.92	2.46	0.300	-0.382
♂	58	0.73	0.87	1.25	1.89	2.42	0.300	-0.370
♂	59	0.72	0.86	1.23	1.86	2.39	0.301	-0.356
♂	60	0.71	0.84	1.21	1.83	2.34	0.301	-0.342
♂	61	0.70	0.83	1.20	1.81	2.31	0.302	-0.326
♂	62	0.68	0.82	1.18	1.78	2.27	0.303	-0.310
♂	63	0.67	0.80	1.16	1.75	2.23	0.304	-0.294
♂	64	0.66	0.79	1.14	1.73	2.19	0.305	-0.276
♂	65	0.64	0.77	1.12	1.70	2.15	0.305	-0.258
♂	66	0.63	0.76	1.11	1.67	2.11	0.306	-0.239
♂	67	0.62	0.75	1.09	1.64	2.08	0.306	-0.219
♂	68	0.61	0.74	1.08	1.62	2.04	0.306	-0.200
♂	69	0.60	0.73	1.06	1.59	2.00	0.305	-0.180
♂	70	0.59	0.72	1.05	1.57	1.96	0.304	-0.159
♂	71	0.58	0.71	1.03	1.54	1.92	0.303	-0.139
♂	72	0.58	0.70	1.02	1.51	1.88	0.302	-0.119
♂	73	0.57	0.69	1.01	1.49	1.85	0.301	-0.098
♂	74	0.56	0.68	0.99	1.47	1.81	0.299	-0.078
♂	75	0.55	0.67	0.98	1.44	1.77	0.297	-0.057
♂	76	0.55	0.67	0.97	1.42	1.74	0.295	-0.037
♂	77	0.54	0.66	0.96	1.39	1.70	0.292	-0.016
♂	78	0.54	0.65	0.94	1.37	1.66	0.289	0.005
♂	79	0.53	0.65	0.93	1.34	1.63	0.286	0.025
♂	81	0.52	0.63	0.91	1.30	1.56	0.280	0.066
♂	82	0.52	0.63	0.90	1.27	1.52	0.276	0.087
♂	88	0.49	0.59	0.83	1.14	1.33	0.254	0.210

RAT_ALM_TBF

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	0.62	0.76	1.12	1.68	2.11	0.310	-0.128
♀	19	0.61	0.75	1.11	1.69	2.13	0.318	-0.138
♀	20	0.60	0.74	1.10	1.70	2.16	0.326	-0.147
♀	21	0.59	0.72	1.10	1.71	2.19	0.335	-0.156
♀	22	0.58	0.71	1.09	1.72	2.22	0.343	-0.165
♀	23	0.56	0.70	1.08	1.73	2.25	0.351	-0.174
♀	24	0.55	0.69	1.07	1.73	2.28	0.359	-0.183
♀	25	0.54	0.68	1.07	1.74	2.31	0.367	-0.192
♀	26	0.53	0.67	1.06	1.75	2.34	0.375	-0.202
♀	27	0.52	0.66	1.05	1.76	2.37	0.382	-0.211
♀	28	0.52	0.65	1.04	1.76	2.39	0.388	-0.220
♀	29	0.51	0.64	1.03	1.77	2.41	0.393	-0.229
♀	30	0.50	0.63	1.03	1.77	2.43	0.398	-0.238
♀	31	0.50	0.63	1.02	1.77	2.45	0.402	-0.247
♀	32	0.49	0.62	1.01	1.76	2.45	0.405	-0.257
♀	33	0.49	0.61	1.00	1.76	2.46	0.408	-0.266
♀	34	0.48	0.61	0.99	1.75	2.46	0.410	-0.275
♀	35	0.48	0.60	0.99	1.74	2.46	0.411	-0.284
♀	36	0.47	0.60	0.98	1.74	2.46	0.413	-0.293
♀	37	0.47	0.59	0.97	1.73	2.46	0.414	-0.302
♀	38	0.47	0.59	0.96	1.71	2.45	0.414	-0.311
♀	39	0.46	0.58	0.95	1.70	2.44	0.415	-0.321
♀	40	0.46	0.58	0.94	1.69	2.43	0.416	-0.330
♀	41	0.45	0.57	0.93	1.68	2.42	0.416	-0.339
♀	42	0.45	0.56	0.92	1.67	2.41	0.417	-0.348
♀	43	0.44	0.56	0.91	1.65	2.40	0.418	-0.357
♀	44	0.44	0.55	0.90	1.64	2.39	0.418	-0.366
♀	45	0.44	0.55	0.89	1.62	2.37	0.418	-0.375
♀	46	0.43	0.54	0.88	1.60	2.35	0.418	-0.385
♀	47	0.43	0.54	0.87	1.58	2.33	0.417	-0.394
♀	48	0.42	0.53	0.86	1.56	2.31	0.416	-0.403
♀	49	0.42	0.52	0.85	1.54	2.27	0.414	-0.412
♀	50	0.42	0.52	0.84	1.52	2.24	0.411	-0.421
♀	51	0.42	0.52	0.82	1.49	2.19	0.407	-0.430
♀	52	0.41	0.51	0.81	1.46	2.15	0.403	-0.440
♀	53	0.41	0.51	0.80	1.43	2.10	0.398	-0.449
♀	54	0.41	0.50	0.79	1.40	2.05	0.393	-0.458
♀	55	0.41	0.50	0.78	1.37	1.99	0.387	-0.467
♀	56	0.41	0.50	0.77	1.34	1.94	0.382	-0.476
♀	57	0.40	0.49	0.76	1.31	1.89	0.376	-0.485
♀	58	0.40	0.49	0.75	1.28	1.83	0.370	-0.494
♀	59	0.40	0.48	0.74	1.25	1.78	0.364	-0.504
♀	60	0.40	0.48	0.73	1.22	1.73	0.358	-0.513
♀	61	0.40	0.48	0.71	1.20	1.68	0.352	-0.522
♀	62	0.40	0.47	0.70	1.17	1.63	0.346	-0.531
♀	63	0.39	0.47	0.69	1.14	1.59	0.341	-0.540
♀	64	0.39	0.46	0.68	1.12	1.55	0.336	-0.549
♀	65	0.39	0.46	0.67	1.09	1.51	0.331	-0.559
♀	66	0.38	0.46	0.66	1.07	1.47	0.326	-0.568
♀	67	0.38	0.45	0.65	1.04	1.43	0.321	-0.577
♀	68	0.38	0.45	0.64	1.02	1.39	0.316	-0.586
♀	69	0.38	0.44	0.63	1.00	1.36	0.312	-0.595
♀	70	0.37	0.44	0.62	0.98	1.32	0.307	-0.604
♀	71	0.37	0.43	0.62	0.96	1.28	0.302	-0.613
♀	72	0.37	0.43	0.61	0.94	1.25	0.298	-0.623
♀	73	0.37	0.43	0.60	0.92	1.22	0.293	-0.632
♀	74	0.36	0.42	0.59	0.90	1.19	0.289	-0.641
♀	75	0.36	0.42	0.58	0.88	1.16	0.284	-0.650
♀	77	0.36	0.41	0.56	0.84	1.09	0.274	-0.668
♀	78	0.35	0.41	0.55	0.82	1.07	0.270	-0.678
♀	79	0.35	0.40	0.55	0.80	1.04	0.265	-0.687
♀	80	0.35	0.40	0.54	0.79	1.01	0.261	-0.696
♀	83	0.34	0.39	0.51	0.74	0.93	0.247	-0.723
♂	18	1.28	1.57	2.32	3.41	4.18	0.301	0.004
♂	19	1.22	1.52	2.28	3.43	4.25	0.318	-0.005
♂	20	1.17	1.46	2.24	3.45	4.33	0.335	-0.013
♂	21	1.11	1.41	2.20	3.46	4.41	0.351	-0.022
♂	22	1.06	1.36	2.17	3.48	4.49	0.367	-0.031
♂	23	1.02	1.31	2.13	3.49	4.56	0.382	-0.040
♂	24	0.98	1.27	2.09	3.49	4.61	0.395	-0.049
♂	25	0.95	1.23	2.06	3.48	4.63	0.405	-0.057
♂	26	0.92	1.20	2.02	3.46	4.63	0.412	-0.065
♂	27	0.90	1.18	1.99	3.43	4.62	0.417	-0.073
♂	28	0.88	1.15	1.95	3.38	4.57	0.419	-0.081
♂	29	0.87	1.13	1.92	3.33	4.51	0.420	-0.088
♂	30	0.86	1.12	1.89	3.28	4.44	0.419	-0.095
♂	31	0.85	1.10	1.86	3.23	4.37	0.418	-0.101
♂	32	0.84	1.09	1.83	3.18	4.31	0.417	-0.108
♂	33	0.83	1.08	1.81	3.14	4.26	0.417	-0.114
♂	34	0.82	1.06	1.78	3.10	4.21	0.416	-0.120
♂	35	0.81	1.05	1.76	3.06	4.17	0.416	-0.125
♂	36	0.80	1.04	1.74	3.03	4.13	0.416	-0.131
♂	37	0.80	1.03	1.73	3.00	4.08	0.415	-0.135
♂	38	0.79	1.02	1.71	2.97	4.04	0.414	-0.140
♂	39	0.79	1.02	1.69	2.94	4.00	0.413	-0.144
♂	40	0.78	1.01	1.68	2.91	3.97	0.412	-0.149
♂	41	0.78	1.00	1.67	2.88	3.93	0.410	-0.152
♂	42	0.78	1.00	1.65	2.85	3.88	0.408	-0.156
♂	43	0.78	1.00	1.64	2.82	3.83	0.405	-0.159
♂	44	0.78	0.99	1.63	2.79	3.78	0.402	-0.162
♂	45	0.77	0.99	1.62	2.76	3.73	0.399	-0.165
♂	46	0.77	0.98	1.60	2.72	3.68	0.396	-0.167
♂	47	0.77	0.98	1.59	2.69	3.62	0.392	-0.169
♂	48	0.77	0.98	1.58	2.66	3.57	0.389	-0.171
♂	49	0.77	0.97	1.57	2.62	3.52	0.386	-0.173
♂	50	0.77	0.97	1.55	2.59	3.47	0.383	-0.174
♂	51	0.76	0.96	1.54	2.56	3.43	0.381	-0.175
♂	52	0.76	0.96	1.53	2.54	3.38	0.379	-0.176
♂	53	0.75	0.95	1.51	2.51	3.35	0.378	-0.177
♂	54	0.75	0.94	1.50	2.48	3.30	0.376	-0.178
♂	55	0.74	0.94	1.48	2.45	3.26	0.375	-0.179
♂	56	0.74	0.93	1.47	2.43	3.23	0.375	-0.179
♂	57	0.73	0.92	1.45	2.40	3.20	0.375	-0.180
♂	58	0.72	0.91	1.44	2.38	3.17	0.376	-0.180
♂	59	0.71	0.89	1.42	2.36	3.14	0.377	-0.180
♂	60	0.70	0.88	1.40	2.33	3.12	0.379	-0.180
♂	61	0.69	0.87	1.39	2.32	3.10	0.382	-0.181
♂	62	0.68	0.85	1.37	2.30	3.08	0.385	-0.181
♂	63	0.66	0.84	1.35	2.28	3.08	0.389	-0.181
♂	64	0.65	0.83	1.34	2.26	3.06	0.392	-0.181
♂	65	0.64	0.81	1.32	2.25	3.04	0.395	-0.180
♂	66	0.63	0.80	1.30	2.23	3.02	0.398	-0.180
♂	67	0.62	0.79	1.29	2.20	2.99	0.399	-0.180
♂	68	0.61	0.78	1.27	2.18	2.97	0.401	-0.180
♂	69	0.60	0.77	1.26	2.16	2.94	0.401	-0.180
♂	70	0.60	0.76	1.25	2.13	2.90	0.400	-0.180
♂	71	0.59	0.76	1.23	2.10	2.85	0.398	-0.180
♂	72	0.59	0.75	1.22	2.07	2.80	0.395	-0.180
♂	73	0.59	0.74	1.20	2.04	2.75	0.392	-0.180
♂	74	0.58	0.74	1.19	2.00	2.69	0.387	-0.180
♂	75	0.58	0.74	1.18	1.96	2.63	0.382	-0.180
♂	76	0.58	0.73	1.16	1.93	2.56	0.376	-0.180
♂	77	0.58	0.73	1.15	1.89	2.50	0.370	-0.180
♂	78	0.58	0.73	1.14	1.85	2.43	0.363	-0.180
♂	79	0.58	0.73	1.12	1.81	2.37	0.356	-0.180
♂	81	0.59	0.72	1.10	1.73	2.23	0.340	-0.181
♂	82	0.59	0.72	1.09	1.69	2.17	0.332	-0.181
♂	88	0.59	0.71	1.01	1.48	1.83	0.287	-0.182

RAT_ALMWEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	0.24	0.26	0.30	0.34	0.37	0.107	1.247
♀	19	0.24	0.26	0.30	0.34	0.37	0.109	1.221
♀	20	0.23	0.26	0.30	0.34	0.37	0.111	1.195
♀	21	0.23	0.26	0.30	0.34	0.37	0.113	1.169
♀	22	0.23	0.26	0.30	0.34	0.37	0.115	1.144
♀	23	0.23	0.25	0.30	0.34	0.37	0.117	1.118
♀	24	0.23	0.25	0.30	0.34	0.37	0.119	1.092
♀	25	0.23	0.25	0.30	0.34	0.37	0.121	1.066
♀	26	0.23	0.25	0.30	0.34	0.37	0.122	1.041
♀	27	0.22	0.25	0.30	0.34	0.37	0.124	1.015
♀	28	0.22	0.25	0.29	0.34	0.37	0.126	0.989
♀	29	0.22	0.25	0.29	0.34	0.37	0.127	0.963
♀	30	0.22	0.25	0.29	0.34	0.37	0.129	0.937
♀	31	0.22	0.24	0.29	0.34	0.37	0.130	0.912
♀	32	0.22	0.24	0.29	0.34	0.37	0.132	0.886
♀	33	0.22	0.24	0.29	0.34	0.37	0.133	0.860
♀	34	0.22	0.24	0.29	0.34	0.37	0.134	0.834
♀	35	0.21	0.24	0.29	0.34	0.37	0.135	0.809
♀	36	0.21	0.24	0.29	0.34	0.37	0.136	0.783
♀	37	0.21	0.24	0.29	0.34	0.37	0.137	0.757
♀	38	0.21	0.24	0.29	0.34	0.37	0.138	0.731
♀	39	0.21	0.23	0.28	0.34	0.36	0.139	0.705
♀	40	0.21	0.23	0.28	0.34	0.36	0.140	0.680
♀	41	0.21	0.23	0.28	0.33	0.36	0.140	0.654
♀	42	0.21	0.23	0.28	0.33	0.36	0.141	0.628
♀	43	0.21	0.23	0.28	0.33	0.36	0.142	0.602
♀	44	0.20	0.23	0.28	0.33	0.36	0.143	0.577
♀	45	0.20	0.23	0.28	0.33	0.36	0.144	0.551
♀	46	0.20	0.23	0.28	0.33	0.36	0.145	0.525
♀	47	0.20	0.23	0.27	0.33	0.36	0.145	0.499
♀	48	0.20	0.22	0.27	0.33	0.36	0.146	0.474
♀	49	0.20	0.22	0.27	0.32	0.35	0.146	0.448
♀	50	0.20	0.22	0.27	0.32	0.35	0.146	0.422
♀	51	0.20	0.22	0.27	0.32	0.35	0.147	0.396
♀	52	0.20	0.22	0.27	0.32	0.35	0.147	0.370
♀	53	0.20	0.22	0.26	0.32	0.35	0.147	0.345
♀	54	0.20	0.22	0.26	0.32	0.35	0.147	0.319
♀	55	0.19	0.22	0.26	0.31	0.34	0.146	0.293
♀	56	0.19	0.22	0.26	0.31	0.34	0.146	0.267
♀	57	0.19	0.21	0.26	0.31	0.34	0.146	0.242
♀	58	0.19	0.21	0.26	0.31	0.34	0.145	0.216
♀	59	0.19	0.21	0.26	0.31	0.34	0.145	0.190
♀	60	0.19	0.21	0.25	0.30	0.33	0.144	0.164
♀	61	0.19	0.21	0.25	0.30	0.33	0.143	0.138
♀	62	0.19	0.21	0.25	0.30	0.33	0.143	0.113
♀	63	0.19	0.21	0.25	0.30	0.33	0.142	0.087
♀	64	0.19	0.21	0.25	0.30	0.33	0.141	0.061
♀	65	0.19	0.21	0.25	0.29	0.32	0.141	0.035
♀	66	0.19	0.20	0.24	0.29	0.32	0.140	0.010
♀	67	0.19	0.20	0.24	0.29	0.32	0.139	-0.016
♀	68	0.18	0.20	0.24	0.29	0.32	0.139	-0.042
♀	69	0.18	0.20	0.24	0.29	0.31	0.138	-0.068
♀	70	0.18	0.20	0.24	0.28	0.31	0.137	-0.094
♀	71	0.18	0.20	0.24	0.28	0.31	0.136	-0.119
♀	72	0.18	0.20	0.23	0.28	0.31	0.136	-0.145
♀	73	0.18	0.20	0.23	0.28	0.31	0.135	-0.171
♀	74	0.18	0.20	0.23	0.28	0.30	0.134	-0.197
♀	75	0.18	0.19	0.23	0.27	0.30	0.133	-0.222
♀	77	0.18	0.19	0.23	0.27	0.30	0.132	-0.274
♀	78	0.18	0.19	0.22	0.27	0.29	0.131	-0.300
♀	79	0.18	0.19	0.22	0.27	0.29	0.130	-0.325
♀	80	0.17	0.19	0.22	0.26	0.29	0.129	-0.351
♀	83	0.17	0.19	0.22	0.26	0.28	0.127	-0.429
♂	18	0.32	0.34	0.37	0.40	0.42	0.068	2.687
♂	19	0.31	0.33	0.37	0.40	0.42	0.072	2.651
♂	20	0.31	0.33	0.37	0.40	0.42	0.075	2.616
♂	21	0.30	0.33	0.37	0.40	0.42	0.079	2.581
♂	22	0.30	0.33	0.37	0.40	0.42	0.082	2.546
♂	23	0.29	0.32	0.37	0.40	0.42	0.086	2.511
♂	24	0.29	0.32	0.37	0.40	0.42	0.089	2.476
♂	25	0.29	0.32	0.36	0.40	0.42	0.091	2.442
♂	26	0.28	0.31	0.36	0.40	0.42	0.094	2.408
♂	27	0.28	0.31	0.36	0.40	0.42	0.095	2.374
♂	28	0.28	0.31	0.36	0.40	0.42	0.096	2.342
♂	29	0.28	0.31	0.36	0.40	0.42	0.097	2.310
♂	30	0.28	0.31	0.36	0.40	0.42	0.098	2.278
♂	31	0.28	0.31	0.36	0.40	0.42	0.099	2.248
♂	32	0.27	0.30	0.35	0.40	0.42	0.099	2.218
♂	33	0.27	0.30	0.35	0.40	0.42	0.100	2.190
♂	34	0.27	0.30	0.35	0.39	0.41	0.100	2.162
♂	35	0.27	0.30	0.35	0.39	0.41	0.101	2.135
♂	36	0.27	0.30	0.35	0.39	0.41	0.101	2.109
♂	37	0.27	0.30	0.35	0.39	0.41	0.102	2.084
♂	38	0.27	0.30	0.35	0.39	0.41	0.102	2.060
♂	39	0.27	0.30	0.35	0.39	0.41	0.102	2.037
♂	40	0.27	0.30	0.35	0.39	0.41	0.103	2.015
♂	41	0.27	0.30	0.35	0.39	0.41	0.103	1.994
♂	42	0.27	0.30	0.34	0.39	0.41	0.103	1.973
♂	43	0.27	0.29	0.34	0.39	0.41	0.102	1.954
♂	44	0.27	0.29	0.34	0.38	0.40	0.102	1.935
♂	45	0.27	0.29	0.34	0.38	0.40	0.102	1.917
♂	46	0.27	0.29	0.34	0.38	0.40	0.101	1.901
♂	47	0.26	0.29	0.34	0.38	0.40	0.101	1.884
♂	48	0.26	0.29	0.34	0.38	0.40	0.101	1.869
♂	49	0.26	0.29	0.34	0.38	0.40	0.100	1.854
♂	50	0.26	0.29	0.34	0.38	0.40	0.100	1.840
♂	51	0.26	0.29	0.34	0.38	0.40	0.100	1.827
♂	52	0.26	0.29	0.33	0.37	0.39	0.100	1.814
♂	53	0.26	0.29	0.33	0.37	0.39	0.101	1.802
♂	54	0.26	0.29	0.33	0.37	0.39	0.101	1.790
♂	55	0.26	0.28	0.33	0.37	0.39	0.101	1.778
♂	56	0.26	0.28	0.33	0.37	0.39	0.102	1.767
♂	57	0.26	0.28	0.33	0.37	0.39	0.102	1.756
♂	58	0.25	0.28	0.33	0.37	0.39	0.103	1.746
♂	59	0.25	0.28	0.32	0.37	0.39	0.104	1.735
♂	60	0.25	0.28	0.32	0.37	0.39	0.106	1.725
♂	61	0.25	0.28	0.32	0.36	0.39	0.107	1.715
♂	62	0.25	0.27	0.32	0.36	0.39	0.109	1.705
♂	63	0.24	0.27	0.32	0.36	0.38	0.110	1.696
♂	64	0.24	0.27	0.32	0.36	0.38	0.112	1.686
♂	65	0.24	0.27	0.32	0.36	0.38	0.113	1.677
♂	66	0.24	0.27	0.32	0.36	0.38	0.115	1.667
♂	67	0.24	0.26	0.31	0.36	0.38	0.116	1.658
♂	68	0.23	0.26	0.31	0.36	0.38	0.118	1.648
♂	69	0.23	0.26	0.31	0.36	0.38	0.119	1.639
♂	70	0.23	0.26	0.31	0.36	0.38	0.120	1.629
♂	71	0.23	0.26	0.31	0.35	0.38	0.120	1.619
♂	72	0.23	0.26	0.31	0.35	0.38	0.121	1.610
♂	73	0.23	0.26	0.31	0.35	0.38	0.122	1.600
♂	74	0.23	0.25	0.31	0.35	0.37	0.122	1.590
♂	75	0.23	0.25	0.30	0.35	0.37	0.122	1.580
♂	76	0.22	0.25	0.30	0.35	0.37	0.122	1.570
♂	77	0.22	0.25	0.30	0.35	0.37	0.122	1.560
♂	78	0.22	0.25	0.30	0.34	0.37	0.121	1.550
♂	79	0.22	0.25	0.30	0.34	0.37	0.121	1.540
♂	81	0.22	0.25	0.30	0.34	0.36	0.120	1.520
♂	82	0.22	0.25	0.29	0.34	0.36	0.119	1.510
♂	88	0.22	0.24	0.29	0.33	0.35	0.115	1.449

AFAT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	0.41	0.54	0.94	1.78	2.60	0.464	-0.223
♀	19	0.41	0.54	0.95	1.83	2.69	0.474	-0.214
♀	20	0.41	0.54	0.97	1.88	2.78	0.484	-0.204
♀	21	0.40	0.54	0.98	1.93	2.88	0.495	-0.195
♀	22	0.40	0.54	1.00	1.99	2.98	0.506	-0.186
♀	23	0.40	0.54	1.01	2.04	3.08	0.516	-0.176
♀	24	0.40	0.54	1.03	2.10	3.19	0.527	-0.167
♀	25	0.39	0.54	1.04	2.16	3.29	0.537	-0.158
♀	26	0.39	0.54	1.06	2.22	3.40	0.548	-0.148
♀	27	0.39	0.54	1.07	2.27	3.51	0.558	-0.139
♀	28	0.38	0.54	1.09	2.33	3.61	0.567	-0.130
♀	29	0.38	0.54	1.10	2.39	3.71	0.576	-0.120
♀	30	0.38	0.54	1.12	2.44	3.80	0.584	-0.111
♀	31	0.38	0.55	1.13	2.50	3.89	0.591	-0.102
♀	32	0.38	0.55	1.15	2.55	3.98	0.598	-0.093
♀	33	0.38	0.55	1.17	2.60	4.06	0.604	-0.083
♀	34	0.38	0.55	1.18	2.65	4.14	0.610	-0.074
♀	35	0.38	0.56	1.20	2.70	4.22	0.615	-0.065
♀	36	0.38	0.56	1.22	2.75	4.30	0.621	-0.055
♀	37	0.38	0.56	1.24	2.80	4.36	0.625	-0.046
♀	38	0.38	0.57	1.25	2.85	4.44	0.630	-0.037
♀	39	0.38	0.57	1.27	2.90	4.51	0.634	-0.027
♀	40	0.38	0.57	1.29	2.94	4.58	0.638	-0.018
♀	41	0.38	0.58	1.31	2.99	4.65	0.642	-0.009
♀	42	0.38	0.58	1.33	3.04	4.70	0.645	0.001
♀	43	0.38	0.59	1.35	3.09	4.77	0.648	0.010
♀	44	0.38	0.59	1.37	3.13	4.82	0.650	0.019
♀	45	0.38	0.60	1.39	3.17	4.86	0.651	0.029
♀	46	0.38	0.60	1.41	3.21	4.90	0.651	0.038
♀	47	0.38	0.61	1.43	3.24	4.93	0.650	0.047
♀	48	0.39	0.62	1.45	3.27	4.95	0.649	0.057
♀	49	0.39	0.63	1.47	3.30	4.98	0.647	0.066
♀	50	0.40	0.64	1.49	3.33	4.99	0.644	0.075
♀	51	0.40	0.65	1.51	3.35	4.99	0.640	0.084
♀	52	0.41	0.66	1.54	3.37	5.00	0.636	0.094
♀	53	0.42	0.67	1.56	3.39	5.00	0.631	0.103
♀	54	0.42	0.68	1.58	3.41	5.00	0.626	0.112
♀	55	0.43	0.70	1.61	3.43	5.00	0.621	0.122
♀	56	0.44	0.71	1.63	3.45	5.00	0.616	0.131
♀	57	0.45	0.72	1.65	3.48	5.00	0.611	0.140
♀	58	0.45	0.73	1.68	3.50	5.00	0.606	0.150
♀	59	0.46	0.75	1.70	3.52	5.01	0.601	0.159
♀	60	0.47	0.76	1.73	3.55	5.02	0.597	0.168
♀	61	0.48	0.77	1.75	3.57	5.04	0.593	0.178
♀	62	0.48	0.79	1.78	3.60	5.05	0.589	0.187
♀	63	0.49	0.80	1.80	3.63	5.07	0.585	0.196
♀	64	0.50	0.81	1.83	3.66	5.10	0.582	0.206
♀	65	0.51	0.83	1.86	3.69	5.12	0.579	0.215
♀	66	0.51	0.84	1.88	3.73	5.15	0.576	0.224
♀	67	0.52	0.85	1.91	3.77	5.19	0.574	0.234
♀	68	0.53	0.87	1.94	3.80	5.22	0.571	0.243
♀	69	0.53	0.88	1.97	3.84	5.25	0.568	0.252
♀	70	0.54	0.89	2.00	3.87	5.28	0.565	0.262
♀	71	0.55	0.91	2.03	3.91	5.31	0.562	0.271
♀	72	0.56	0.92	2.05	3.95	5.34	0.559	0.280
♀	73	0.56	0.94	2.08	3.98	5.37	0.555	0.289
♀	74	0.57	0.96	2.12	4.01	5.39	0.551	0.299
♀	75	0.58	0.97	2.15	4.05	5.42	0.547	0.308
♀	77	0.60	1.01	2.21	4.12	5.47	0.539	0.327
♀	78	0.62	1.03	2.24	4.15	5.49	0.534	0.336
♀	79	0.63	1.05	2.27	4.19	5.53	0.530	0.345
♀	80	0.64	1.07	2.31	4.22	5.55	0.526	0.355
♀	83	0.68	1.13	2.41	4.33	5.64	0.513	0.383
♂	18	0.44	0.55	0.83	1.32	1.73	0.344	-0.226
♂	19	0.44	0.55	0.86	1.41	1.87	0.365	-0.217
♂	20	0.44	0.56	0.89	1.50	2.03	0.386	-0.208
♂	21	0.44	0.56	0.92	1.60	2.20	0.408	-0.199
♂	22	0.44	0.56	0.95	1.70	2.39	0.430	-0.190
♂	23	0.43	0.57	0.98	1.81	2.58	0.451	-0.181
♂	24	0.43	0.57	1.02	1.92	2.77	0.470	-0.172
♂	25	0.43	0.58	1.05	2.02	2.96	0.486	-0.163
♂	26	0.44	0.59	1.08	2.13	3.14	0.500	-0.154
♂	27	0.44	0.60	1.12	2.23	3.30	0.511	-0.145
♂	28	0.44	0.61	1.15	2.32	3.45	0.519	-0.136
♂	29	0.45	0.62	1.19	2.40	3.58	0.525	-0.127
♂	30	0.46	0.64	1.22	2.48	3.69	0.529	-0.118
♂	31	0.47	0.65	1.26	2.55	3.80	0.532	-0.109
♂	32	0.48	0.67	1.29	2.62	3.90	0.534	-0.100
♂	33	0.49	0.68	1.32	2.69	3.99	0.536	-0.091
♂	34	0.49	0.69	1.36	2.76	4.09	0.539	-0.082
♂	35	0.50	0.70	1.39	2.83	4.19	0.542	-0.073
♂	36	0.50	0.71	1.42	2.90	4.29	0.546	-0.064
♂	37	0.51	0.72	1.44	2.96	4.37	0.549	-0.055
♂	38	0.51	0.73	1.47	3.02	4.47	0.553	-0.046
♂	39	0.51	0.74	1.49	3.08	4.55	0.557	-0.037
♂	40	0.51	0.74	1.52	3.14	4.63	0.561	-0.028
♂	41	0.52	0.75	1.54	3.18	4.69	0.563	-0.019
♂	42	0.52	0.76	1.56	3.22	4.74	0.564	-0.010
♂	43	0.53	0.77	1.58	3.26	4.77	0.563	-0.001
♂	44	0.53	0.78	1.60	3.28	4.78	0.560	0.008
♂	45	0.54	0.79	1.62	3.30	4.77	0.555	0.017
♂	46	0.55	0.81	1.65	3.31	4.76	0.549	0.026
♂	47	0.56	0.82	1.67	3.31	4.74	0.543	0.035
♂	48	0.57	0.84	1.69	3.32	4.72	0.537	0.044
♂	49	0.58	0.85	1.71	3.34	4.71	0.532	0.053
♂	50	0.59	0.87	1.73	3.35	4.71	0.528	0.062
♂	51	0.60	0.88	1.75	3.38	4.73	0.526	0.071
♂	52	0.61	0.89	1.77	3.40	4.74	0.524	0.081
♂	53	0.61	0.90	1.79	3.43	4.77	0.523	0.090
♂	54	0.62	0.91	1.81	3.45	4.78	0.521	0.099
♂	55	0.62	0.91	1.83	3.48	4.80	0.520	0.108
♂	56	0.62	0.92	1.85	3.50	4.83	0.519	0.117
♂	57	0.63	0.93	1.87	3.53	4.85	0.518	0.126
♂	58	0.63	0.94	1.89	3.56	4.88	0.518	0.135
♂	59	0.64	0.95	1.90	3.59	4.91	0.518	0.144
♂	60	0.64	0.96	1.92	3.62	4.94	0.518	0.153
♂	61	0.64	0.96	1.94	3.65	4.98	0.519	0.162
♂	62	0.64	0.96	1.96	3.69	5.02	0.521	0.171
♂	63	0.64	0.97	1.98	3.72	5.06	0.523	0.180
♂	64	0.63	0.97	1.99	3.75	5.10	0.525	0.189
♂	65	0.63	0.97	2.01	3.79	5.15	0.528	0.198
♂	66	0.63	0.97	2.02	3.81	5.17	0.529	0.207
♂	67	0.63	0.97	2.04	3.84	5.20	0.531	0.216
♂	68	0.63	0.98	2.05	3.85	5.21	0.530	0.225
♂	69	0.63	0.98	2.06	3.86	5.21	0.529	0.234
♂	70	0.63	0.99	2.07	3.86	5.19	0.525	0.243
♂	71	0.64	1.00	2.08	3.85	5.15	0.520	0.252
♂	72	0.65	1.01	2.09	3.84	5.11	0.514	0.261
♂	73	0.66	1.03	2.10	3.81	5.05	0.505	0.270
♂	74	0.68	1.05	2.11	3.79	4.98	0.496	0.279
♂	75	0.70	1.07	2.12	3.75	4.91	0.485	0.288
♂	76	0.72	1.09	2.13	3.72	4.83	0.473	0.297
♂	77	0.74	1.12	2.14	3.67	4.74	0.460	0.306
♂	78	0.77	1.14	2.15	3.64	4.65	0.447	0.315
♂	79	0.80	1.17	2.16	3.60	4.57	0.434	0.324
♂	81	0.86	1.23	2.18	3.51	4.40	0.406	0.342
♂	82	0.89	1.26	2.19	3.48	4.32	0.393	0.351
♂	88	1.10	1.44	2.25	3.28	3.91	0.317	0.405

ALM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	14.22	16.02	19.85	24.28	26.88	0.162	0.302
♀	19	14.23	16.02	19.84	24.28	26.89	0.162	0.280
♀	20	14.24	16.02	19.83	24.28	26.91	0.162	0.259
♀	21	14.25	16.03	19.83	24.28	26.93	0.162	0.236
♀	22	14.27	16.03	19.82	24.28	26.95	0.162	0.214
♀	23	14.28	16.03	19.81	24.29	26.97	0.162	0.191
♀	24	14.32	16.06	19.81	24.26	26.94	0.161	0.167
♀	25	14.34	16.06	19.80	24.26	26.96	0.161	0.144
♀	26	14.35	16.06	19.79	24.27	26.98	0.161	0.120
♀	27	14.36	16.07	19.79	24.27	27.00	0.161	0.097
♀	28	14.38	16.07	19.78	24.28	27.03	0.161	0.073
♀	29	14.39	16.07	19.78	24.28	27.05	0.161	0.049
♀	30	14.40	16.08	19.77	24.29	27.07	0.161	0.026
♀	31	14.42	16.08	19.77	24.29	27.10	0.161	0.002
♀	32	14.43	16.08	19.76	24.30	27.12	0.161	-0.022
♀	33	14.44	16.08	19.75	24.30	27.14	0.161	-0.046
♀	34	14.45	16.08	19.74	24.30	27.16	0.161	-0.070
♀	35	14.46	16.08	19.73	24.30	27.18	0.161	-0.093
♀	36	14.46	16.08	19.72	24.29	27.19	0.161	-0.117
♀	37	14.46	16.07	19.70	24.28	27.20	0.161	-0.141
♀	38	14.47	16.06	19.68	24.27	27.21	0.161	-0.165
♀	39	14.46	16.05	19.65	24.26	27.21	0.161	-0.188
♀	40	14.49	16.06	19.63	24.20	27.15	0.160	-0.210
♀	41	14.48	16.04	19.59	24.18	27.13	0.160	-0.231
♀	42	14.46	16.02	19.56	24.14	27.12	0.160	-0.250
♀	43	14.45	15.99	19.52	24.10	27.09	0.160	-0.267
♀	44	14.42	15.96	19.48	24.06	27.05	0.160	-0.281
♀	45	14.40	15.92	19.43	24.01	27.00	0.160	-0.293
♀	46	14.36	15.88	19.38	23.95	26.94	0.160	-0.301
♀	47	14.32	15.84	19.32	23.88	26.87	0.160	-0.306
♀	48	14.28	15.79	19.26	23.80	26.78	0.160	-0.307
♀	49	14.23	15.73	19.19	23.72	26.69	0.160	-0.305
♀	50	14.17	15.67	19.12	23.63	26.58	0.160	-0.300
♀	51	14.11	15.61	19.05	23.53	26.47	0.160	-0.291
♀	52	14.04	15.54	18.97	23.43	26.34	0.160	-0.279
♀	53	14.00	15.49	18.89	23.29	26.15	0.159	-0.265
♀	54	13.93	15.41	18.80	23.18	26.01	0.159	-0.248
♀	55	13.85	15.34	18.72	23.06	25.86	0.159	-0.229
♀	56	13.77	15.26	18.63	22.94	25.71	0.159	-0.208
♀	57	13.69	15.17	18.53	22.81	25.55	0.159	-0.185
♀	58	13.61	15.09	18.44	22.69	25.39	0.159	-0.160
♀	59	13.52	15.01	18.35	22.56	25.23	0.159	-0.133
♀	60	13.43	14.92	18.25	22.43	25.06	0.159	-0.105
♀	61	13.34	14.83	18.16	22.30	24.89	0.159	-0.075
♀	62	13.25	14.74	18.06	22.16	24.72	0.159	-0.044
♀	63	13.16	14.66	17.96	22.03	24.55	0.159	-0.011
♀	64	13.09	14.58	17.86	21.86	24.32	0.158	0.023
♀	65	13.00	14.49	17.76	21.73	24.15	0.158	0.059
♀	66	12.90	14.40	17.67	21.59	23.97	0.158	0.095
♀	67	12.80	14.31	17.57	21.45	23.79	0.158	0.132
♀	68	12.71	14.21	17.46	21.31	23.62	0.158	0.170
♀	69	12.61	14.12	17.36	21.17	23.44	0.158	0.209
♀	70	12.51	14.02	17.26	21.03	23.26	0.158	0.249
♀	71	12.41	13.93	17.16	20.89	23.08	0.158	0.289
♀	72	12.30	13.83	17.06	20.75	22.91	0.158	0.330
♀	73	12.20	13.74	16.95	20.61	22.73	0.158	0.371
♀	74	12.10	13.64	16.85	20.47	22.56	0.158	0.412
♀	75	12.03	13.56	16.75	20.31	22.34	0.157	0.453
♀	77	11.82	13.37	16.54	20.03	21.99	0.157	0.537
♀	78	11.71	13.27	16.44	19.89	21.82	0.157	0.579
♀	79	11.61	13.18	16.33	19.74	21.65	0.157	0.622
♀	80	11.50	13.08	16.23	19.60	21.47	0.157	0.665
♀	83	11.19	12.78	15.92	19.18	20.96	0.157	0.794
♂	18	22.13	24.67	29.87	35.62	38.89	0.143	0.454
♂	19	22.23	24.75	29.95	35.73	39.04	0.143	0.417
♂	20	22.32	24.83	30.02	35.84	39.18	0.143	0.380
♂	21	22.36	24.86	30.08	35.98	39.38	0.144	0.343
♂	22	22.43	24.92	30.13	36.06	39.50	0.144	0.307
♂	23	22.50	24.97	30.17	36.13	39.60	0.144	0.271
♂	24	22.55	25.00	30.19	36.17	39.68	0.144	0.237
♂	25	22.58	25.02	30.20	36.20	39.73	0.144	0.205
♂	26	22.60	25.02	30.19	36.20	39.76	0.144	0.174
♂	27	22.61	25.02	30.17	36.19	39.78	0.144	0.146
♂	28	22.61	25.01	30.14	36.17	39.78	0.144	0.120
♂	29	22.61	24.99	30.10	36.15	39.77	0.144	0.097
♂	30	22.61	24.97	30.07	36.12	39.76	0.144	0.076
♂	31	22.61	24.96	30.05	36.10	39.76	0.144	0.057
♂	32	22.61	24.95	30.03	36.09	39.76	0.144	0.042
♂	33	22.61	24.95	30.02	36.09	39.76	0.144	0.029
♂	34	22.62	24.95	30.02	36.09	39.78	0.144	0.019
♂	35	22.58	24.92	30.02	36.14	39.87	0.145	0.011
♂	36	22.59	24.93	30.02	36.15	39.88	0.145	0.006
♂	37	22.60	24.93	30.03	36.16	39.89	0.145	0.004
♂	38	22.60	24.94	30.03	36.16	39.90	0.145	0.005
♂	39	22.60	24.94	30.03	36.16	39.89	0.145	0.009
♂	40	22.59	24.93	30.03	36.16	39.88	0.145	0.016
♂	41	22.57	24.92	30.03	36.14	39.85	0.145	0.027
♂	42	22.55	24.91	30.01	36.12	39.81	0.145	0.041
♂	43	22.52	24.88	29.99	36.08	39.76	0.145	0.057
♂	44	22.48	24.85	29.96	36.03	39.69	0.145	0.077
♂	45	22.43	24.81	29.92	35.97	39.60	0.145	0.099
♂	46	22.37	24.76	29.88	35.90	39.50	0.145	0.123
♂	47	22.30	24.70	29.82	35.81	39.38	0.145	0.150
♂	48	22.18	24.59	29.75	35.76	39.32	0.146	0.179
♂	49	22.09	24.51	29.67	35.64	39.17	0.146	0.209
♂	50	21.99	24.42	29.57	35.51	39.00	0.146	0.241
♂	51	21.87	24.32	29.47	35.37	38.81	0.146	0.274
♂	52	21.75	24.20	29.35	35.20	38.61	0.146	0.308
♂	53	21.62	24.08	29.22	35.03	38.39	0.146	0.343
♂	54	21.48	23.95	29.08	34.84	38.15	0.146	0.378
♂	55	21.33	23.80	28.92	34.63	37.90	0.146	0.414
♂	56	21.17	23.65	28.76	34.42	37.64	0.146	0.449
♂	57	21.00	23.49	28.58	34.19	37.37	0.146	0.485
♂	58	20.83	23.32	28.40	33.95	37.08	0.146	0.521
♂	59	20.65	23.15	28.20	33.70	36.78	0.146	0.557
♂	60	20.46	22.96	28.00	33.44	36.47	0.146	0.594
♂	61	20.22	22.74	27.79	33.21	36.22	0.147	0.631
♂	62	20.03	22.55	27.58	32.93	35.89	0.147	0.668
♂	63	19.83	22.36	27.36	32.66	35.57	0.147	0.705
♂	64	19.63	22.16	27.14	32.38	35.24	0.147	0.742
♂	65	19.43	21.96	26.92	32.10	34.91	0.147	0.780
♂	66	19.23	21.76	26.70	31.82	34.59	0.147	0.817
♂	67	19.03	21.57	26.49	31.55	34.27	0.147	0.855
♂	68	18.83	21.38	26.28	31.28	33.96	0.147	0.894
♂	69	18.64	21.19	26.07	31.01	33.65	0.147	0.932
♂	70	18.45	21.01	25.87	30.76	33.36	0.147	0.971
♂	71	18.27	20.84	25.68	30.51	33.07	0.147	1.010
♂	72	18.09	20.67	25.50	30.28	32.79	0.147	1.049
♂	73	17.87	20.47	25.32	30.08	32.58	0.148	1.087
♂	74	17.70	20.32	25.15	29.86	32.32	0.148	1.126
♂	75	17.53	20.16	24.98	29.65	32.07	0.148	1.165
♂	76	17.37	20.01	24.82	29.45	31.83	0.148	1.203
♂	77	17.22	19.87	24.67	29.25	31.60	0.148	1.241
♂	78	17.06	19.73	24.51	29.05	31.37	0.148	1.280
♂	79	16.91	19.59	24.37	28.86	31.15	0.148	1.318
♂	81	16.60	19.32	24.08	28.49	30.72	0.148	1.394
♂	82	16.45	19.18	23.94	28.31	30.51	0.148	1.432
♂	88	15.50	18.36	23.10	27.27	29.32	0.149	1.660

AFM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	5.80	6.95	9.80	13.91	16.80	0.271	-0.054
♀	19	5.74	6.91	9.86	14.16	17.19	0.280	-0.050
♀	20	5.67	6.87	9.91	14.40	17.60	0.289	-0.046
♀	21	5.60	6.83	9.97	14.65	18.01	0.298	-0.041
♀	22	5.53	6.79	10.03	14.91	18.43	0.307	-0.037
♀	23	5.46	6.75	10.09	15.16	18.86	0.316	-0.033
♀	24	5.40	6.71	10.15	15.43	19.30	0.325	-0.029
♀	25	5.33	6.67	10.20	15.69	19.75	0.334	-0.025
♀	26	5.27	6.63	10.27	15.96	20.20	0.343	-0.021
♀	27	5.21	6.60	10.32	16.22	20.62	0.351	-0.017
♀	28	5.15	6.56	10.38	16.47	21.05	0.359	-0.013
♀	29	5.11	6.54	10.44	16.71	21.45	0.366	-0.008
♀	30	5.07	6.52	10.51	16.93	21.80	0.372	-0.004
♀	31	5.05	6.52	10.57	17.13	22.12	0.377	0.000
♀	32	5.02	6.51	10.63	17.33	22.45	0.382	0.004
♀	33	5.00	6.50	10.69	17.54	22.77	0.387	0.008
♀	34	4.99	6.51	10.75	17.70	23.01	0.390	0.012
♀	35	4.97	6.51	10.81	17.88	23.30	0.394	0.016
♀	36	4.97	6.52	10.88	18.05	23.54	0.397	0.020
♀	37	4.97	6.54	10.94	18.19	23.74	0.399	0.025
♀	38	4.97	6.56	11.01	18.33	23.94	0.401	0.029
♀	39	4.97	6.57	11.07	18.47	24.14	0.403	0.033
♀	40	4.97	6.59	11.13	18.62	24.34	0.405	0.037
♀	41	4.99	6.62	11.20	18.74	24.50	0.406	0.041
♀	42	4.99	6.64	11.26	18.88	24.71	0.408	0.045
♀	43	5.00	6.66	11.33	19.01	24.87	0.409	0.049
♀	44	5.00	6.68	11.40	19.16	25.08	0.411	0.053
♀	45	5.02	6.71	11.46	19.26	25.19	0.411	0.058
♀	46	5.04	6.74	11.53	19.38	25.35	0.412	0.062
♀	47	5.07	6.78	11.60	19.46	25.42	0.411	0.066
♀	48	5.10	6.83	11.66	19.54	25.49	0.410	0.070
♀	49	5.14	6.88	11.73	19.59	25.51	0.408	0.074
♀	50	5.19	6.94	11.80	19.65	25.54	0.406	0.078
♀	51	5.25	7.00	11.87	19.68	25.52	0.403	0.082
♀	52	5.31	7.08	11.94	19.69	25.45	0.399	0.086
♀	53	5.39	7.16	12.01	19.67	25.32	0.394	0.091
♀	54	5.46	7.24	12.08	19.68	25.26	0.390	0.095
♀	55	5.55	7.33	12.15	19.67	25.15	0.385	0.099
♀	56	5.63	7.41	12.22	19.65	25.04	0.380	0.103
♀	57	5.72	7.50	12.29	19.64	24.94	0.375	0.107
♀	58	5.80	7.60	12.36	19.62	24.83	0.370	0.111
♀	59	5.89	7.69	12.43	19.61	24.73	0.365	0.115
♀	60	5.97	7.77	12.51	19.62	24.67	0.361	0.119
♀	61	6.06	7.86	12.58	19.61	24.56	0.356	0.124
♀	62	6.14	7.95	12.65	19.62	24.51	0.352	0.128
♀	63	6.23	8.04	12.73	19.63	24.45	0.348	0.132
♀	64	6.31	8.12	12.80	19.64	24.40	0.344	0.136
♀	65	6.40	8.21	12.88	19.65	24.35	0.340	0.140
♀	66	6.47	8.29	12.95	19.69	24.34	0.337	0.144
♀	67	6.56	8.38	13.03	19.70	24.29	0.333	0.148
♀	68	6.63	8.46	13.10	19.74	24.28	0.330	0.152
♀	69	6.72	8.55	13.18	19.75	24.23	0.326	0.157
♀	70	6.80	8.64	13.26	19.79	24.22	0.323	0.161
♀	71	6.89	8.73	13.33	19.80	24.17	0.319	0.165
♀	72	6.97	8.82	13.41	19.84	24.17	0.316	0.169
♀	73	7.07	8.91	13.49	19.86	24.12	0.312	0.173
♀	74	7.17	9.01	13.57	19.87	24.08	0.308	0.177
♀	75	7.26	9.11	13.65	19.89	24.03	0.304	0.181
♀	77	7.45	9.30	13.81	19.94	23.98	0.297	0.190
♀	78	7.55	9.40	13.89	19.95	23.94	0.293	0.194
♀	79	7.66	9.51	13.97	19.97	23.89	0.289	0.198
♀	80	7.77	9.61	14.05	19.99	23.85	0.285	0.202
♀	83	8.08	9.92	14.30	20.06	23.77	0.274	0.214
♂	18	2.92	3.81	6.47	11.49	15.91	0.430	-0.147
♂	19	2.96	3.86	6.55	11.61	16.03	0.429	-0.142
♂	20	2.99	3.90	6.63	11.74	16.19	0.429	-0.137
♂	21	3.03	3.95	6.71	11.85	16.31	0.428	-0.132
♂	22	3.06	4.00	6.79	11.97	16.44	0.427	-0.127
♂	23	3.10	4.05	6.87	12.09	16.57	0.426	-0.122
♂	24	3.14	4.10	6.95	12.20	16.70	0.425	-0.116
♂	25	3.17	4.15	7.04	12.34	16.87	0.425	-0.111
♂	26	3.21	4.20	7.12	12.47	17.00	0.424	-0.106
♂	27	3.25	4.25	7.21	12.59	17.13	0.423	-0.101
♂	28	3.29	4.30	7.29	12.71	17.27	0.422	-0.096
♂	29	3.33	4.36	7.38	12.83	17.39	0.421	-0.091
♂	30	3.37	4.41	7.46	12.94	17.51	0.420	-0.086
♂	31	3.40	4.45	7.53	13.06	17.66	0.420	-0.080
♂	32	3.43	4.49	7.61	13.16	17.76	0.419	-0.075
♂	33	3.46	4.54	7.68	13.26	17.85	0.418	-0.070
♂	34	3.49	4.58	7.74	13.34	17.93	0.417	-0.065
♂	35	3.51	4.61	7.80	13.43	18.04	0.417	-0.060
♂	36	3.54	4.65	7.86	13.50	18.09	0.416	-0.055
♂	37	3.56	4.67	7.90	13.55	18.12	0.415	-0.049
♂	38	3.58	4.70	7.95	13.59	18.15	0.414	-0.044
♂	39	3.60	4.73	7.98	13.62	18.17	0.413	-0.039
♂	40	3.61	4.74	8.01	13.67	18.21	0.413	-0.034
♂	41	3.62	4.76	8.04	13.69	18.20	0.412	-0.029
♂	42	3.63	4.78	8.07	13.70	18.19	0.411	-0.024
♂	43	3.64	4.79	8.09	13.71	18.18	0.410	-0.019
♂	44	3.65	4.81	8.11	13.72	18.15	0.409	-0.013
♂	45	3.65	4.81	8.12	13.74	18.15	0.409	-0.008
♂	46	3.66	4.83	8.14	13.73	18.12	0.408	-0.003
♂	47	3.67	4.84	8.15	13.72	18.08	0.407	0.002
♂	48	3.67	4.84	8.16	13.71	18.04	0.406	0.007
♂	49	3.68	4.85	8.17	13.70	17.99	0.405	0.012
♂	50	3.67	4.85	8.17	13.70	17.98	0.405	0.017
♂	51	3.68	4.86	8.18	13.68	17.92	0.404	0.023
♂	52	3.68	4.86	8.18	13.66	17.86	0.403	0.028
♂	53	3.68	4.87	8.18	13.64	17.81	0.402	0.033
♂	54	3.68	4.87	8.19	13.63	17.79	0.402	0.038
♂	55	3.68	4.87	8.19	13.62	17.74	0.401	0.043
♂	56	3.69	4.88	8.20	13.60	17.70	0.400	0.048
♂	57	3.69	4.89	8.21	13.59	17.66	0.399	0.053
♂	58	3.69	4.89	8.22	13.60	17.65	0.399	0.059
♂	59	3.70	4.90	8.23	13.59	17.62	0.398	0.064
♂	60	3.70	4.91	8.24	13.59	17.59	0.397	0.069
♂	61	3.71	4.92	8.26	13.59	17.56	0.396	0.074
♂	62	3.71	4.93	8.27	13.60	17.57	0.396	0.079
♂	63	3.72	4.94	8.29	13.60	17.54	0.395	0.084
♂	64	3.73	4.95	8.30	13.61	17.52	0.394	0.090
♂	65	3.74	4.97	8.32	13.61	17.50	0.393	0.095
♂	66	3.74	4.97	8.34	13.63	17.52	0.393	0.100
♂	67	3.75	4.99	8.36	13.64	17.50	0.392	0.105
♂	68	3.76	5.00	8.38	13.65	17.49	0.391	0.110
♂	69	3.77	5.02	8.40	13.65	17.47	0.390	0.115
♂	70	3.78	5.03	8.42	13.68	17.49	0.390	0.120
♂	71	3.79	5.04	8.44	13.69	17.48	0.389	0.126
♂	72	3.80	5.06	8.46	13.70	17.47	0.388	0.131
♂	73	3.81	5.08	8.49	13.71	17.47	0.387	0.136
♂	74	3.82	5.09	8.51	13.75	17.50	0.387	0.141
♂	75	3.83	5.11	8.54	13.77	17.50	0.386	0.146
♂	76	3.84	5.13	8.56	13.78	17.50	0.385	0.151
♂	77	3.86	5.15	8.59	13.81	17.50	0.384	0.157
♂	78	3.86	5.16	8.62	13.85	17.54	0.384	0.162
♂	79	3.88	5.19	8.66	13.87	17.56	0.383	0.167
♂	81	3.91	5.23	8.72	13.93	17.59	0.381	0.177
♂	82	3.92	5.25	8.76	13.98	17.63	0.381	0.182
♂	88	4.02	5.39	8.97	14.19	17.78	0.376	0.213

GF

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	2.33	2.72	3.68	5.02	5.94	0.239	-0.091
♀	19	2.30	2.70	3.70	5.10	6.08	0.248	-0.085
♀	20	2.26	2.68	3.71	5.19	6.22	0.258	-0.079
♀	21	2.22	2.65	3.73	5.29	6.38	0.269	-0.074
♀	22	2.19	2.63	3.74	5.38	6.54	0.279	-0.068
♀	23	2.15	2.60	3.76	5.48	6.71	0.290	-0.062
♀	24	2.12	2.58	3.78	5.57	6.87	0.300	-0.057
♀	25	2.08	2.56	3.79	5.68	7.05	0.311	-0.051
♀	26	2.05	2.53	3.81	5.77	7.21	0.321	-0.045
♀	27	2.02	2.52	3.83	5.86	7.37	0.330	-0.040
♀	28	1.99	2.50	3.84	5.95	7.53	0.339	-0.034
♀	29	1.97	2.48	3.86	6.04	7.67	0.347	-0.028
♀	30	1.95	2.47	3.88	6.12	7.80	0.354	-0.023
♀	31	1.93	2.46	3.89	6.19	7.92	0.360	-0.017
♀	32	1.92	2.45	3.91	6.25	8.02	0.365	-0.011
♀	33	1.91	2.45	3.93	6.30	8.10	0.369	-0.005
♀	34	1.90	2.45	3.94	6.35	8.17	0.372	0.000
♀	35	1.90	2.45	3.96	6.40	8.25	0.375	0.006
♀	36	1.89	2.45	3.98	6.44	8.30	0.377	0.012
♀	37	1.89	2.45	3.99	6.48	8.36	0.379	0.017
♀	38	1.89	2.45	4.01	6.52	8.41	0.381	0.023
♀	39	1.89	2.46	4.03	6.56	8.46	0.383	0.029
♀	40	1.89	2.46	4.05	6.59	8.51	0.384	0.034
♀	41	1.88	2.47	4.06	6.63	8.56	0.386	0.040
♀	42	1.88	2.47	4.08	6.67	8.62	0.388	0.046
♀	43	1.88	2.47	4.10	6.70	8.66	0.389	0.051
♀	44	1.88	2.48	4.11	6.74	8.70	0.390	0.057
♀	45	1.88	2.48	4.13	6.77	8.74	0.391	0.063
♀	46	1.89	2.49	4.15	6.79	8.76	0.391	0.069
♀	47	1.89	2.50	4.17	6.82	8.78	0.391	0.074
♀	48	1.90	2.51	4.19	6.83	8.79	0.390	0.080
♀	49	1.91	2.53	4.20	6.84	8.78	0.388	0.086
♀	50	1.93	2.55	4.22	6.84	8.76	0.385	0.091
♀	51	1.95	2.57	4.24	6.84	8.73	0.382	0.097
♀	52	1.97	2.59	4.26	6.83	8.70	0.378	0.103
♀	53	1.99	2.61	4.28	6.82	8.66	0.374	0.108
♀	54	2.01	2.64	4.29	6.81	8.62	0.370	0.114
♀	55	2.04	2.67	4.31	6.80	8.57	0.365	0.120
♀	56	2.06	2.69	4.33	6.79	8.53	0.361	0.126
♀	57	2.09	2.72	4.35	6.77	8.48	0.356	0.131
♀	58	2.12	2.74	4.37	6.77	8.44	0.352	0.137
♀	59	2.14	2.77	4.39	6.76	8.41	0.348	0.143
♀	60	2.17	2.79	4.41	6.75	8.38	0.344	0.148
♀	61	2.19	2.81	4.42	6.75	8.36	0.341	0.154
♀	62	2.21	2.84	4.44	6.75	8.34	0.338	0.160
♀	63	2.23	2.86	4.46	6.76	8.32	0.335	0.165
♀	64	2.24	2.88	4.48	6.76	8.32	0.333	0.171
♀	65	2.26	2.90	4.50	6.77	8.32	0.331	0.177
♀	66	2.28	2.91	4.52	6.78	8.31	0.329	0.183
♀	67	2.29	2.93	4.54	6.79	8.31	0.327	0.188
♀	68	2.31	2.95	4.56	6.80	8.31	0.325	0.194
♀	69	2.33	2.97	4.58	6.81	8.31	0.323	0.200
♀	70	2.34	2.99	4.60	6.82	8.31	0.321	0.205
♀	71	2.36	3.01	4.62	6.83	8.30	0.319	0.211
♀	72	2.38	3.03	4.64	6.83	8.29	0.316	0.217
♀	73	2.40	3.05	4.66	6.84	8.29	0.314	0.222
♀	74	2.43	3.08	4.68	6.85	8.27	0.311	0.228
♀	75	2.45	3.10	4.69	6.85	8.26	0.308	0.234
♀	77	2.50	3.15	4.73	6.85	8.23	0.302	0.245
♀	78	2.52	3.18	4.76	6.86	8.21	0.299	0.251
♀	79	2.55	3.20	4.78	6.86	8.20	0.296	0.257
♀	80	2.57	3.23	4.80	6.86	8.19	0.293	0.262
♀	83	2.65	3.31	4.86	6.87	8.15	0.284	0.279
♂	18	1.25	1.56	2.39	3.72	4.73	0.340	-0.065
♂	19	1.25	1.57	2.43	3.81	4.86	0.346	-0.062
♂	20	1.25	1.58	2.47	3.90	4.99	0.352	-0.058
♂	21	1.26	1.59	2.51	3.98	5.12	0.357	-0.055
♂	22	1.27	1.61	2.55	4.08	5.25	0.363	-0.052
♂	23	1.27	1.62	2.58	4.16	5.39	0.368	-0.049
♂	24	1.28	1.64	2.62	4.25	5.51	0.372	-0.046
♂	25	1.29	1.65	2.66	4.33	5.63	0.376	-0.043
♂	26	1.30	1.67	2.70	4.41	5.74	0.379	-0.040
♂	27	1.31	1.69	2.74	4.48	5.83	0.380	-0.037
♂	28	1.33	1.71	2.78	4.54	5.92	0.381	-0.034
♂	29	1.34	1.73	2.81	4.61	6.00	0.382	-0.031
♂	30	1.36	1.75	2.85	4.65	6.05	0.381	-0.028
♂	31	1.38	1.77	2.88	4.69	6.10	0.380	-0.025
♂	32	1.39	1.79	2.90	4.73	6.13	0.378	-0.022
♂	33	1.41	1.81	2.93	4.76	6.17	0.377	-0.019
♂	34	1.42	1.83	2.95	4.78	6.19	0.375	-0.016
♂	35	1.44	1.85	2.97	4.80	6.20	0.373	-0.013
♂	36	1.45	1.86	2.99	4.82	6.21	0.372	-0.010
♂	37	1.46	1.87	3.00	4.83	6.21	0.370	-0.007
♂	38	1.47	1.88	3.01	4.83	6.20	0.368	-0.004
♂	39	1.47	1.89	3.02	4.83	6.20	0.367	-0.001
♂	40	1.48	1.89	3.03	4.83	6.18	0.365	0.002
♂	41	1.49	1.90	3.03	4.82	6.16	0.363	0.005
♂	42	1.49	1.91	3.03	4.81	6.14	0.361	0.008
♂	43	1.50	1.91	3.03	4.80	6.11	0.359	0.012
♂	44	1.50	1.92	3.03	4.79	6.08	0.357	0.015
♂	45	1.51	1.92	3.03	4.77	6.05	0.355	0.018
♂	46	1.51	1.92	3.03	4.75	6.02	0.353	0.021
♂	47	1.51	1.93	3.03	4.74	5.99	0.351	0.024
♂	48	1.52	1.93	3.02	4.72	5.95	0.349	0.027
♂	49	1.52	1.93	3.02	4.69	5.92	0.347	0.030
♂	50	1.52	1.93	3.01	4.67	5.88	0.345	0.033
♂	51	1.52	1.93	3.01	4.66	5.85	0.344	0.036
♂	52	1.52	1.92	3.00	4.64	5.82	0.343	0.039
♂	53	1.51	1.92	2.99	4.63	5.81	0.343	0.042
♂	54	1.51	1.92	2.99	4.61	5.78	0.342	0.045
♂	55	1.51	1.91	2.98	4.60	5.77	0.342	0.048
♂	56	1.51	1.91	2.98	4.59	5.75	0.342	0.051
♂	57	1.50	1.91	2.97	4.59	5.75	0.342	0.054
♂	58	1.50	1.91	2.97	4.58	5.74	0.342	0.057
♂	59	1.50	1.91	2.97	4.58	5.74	0.342	0.060
♂	60	1.50	1.90	2.97	4.59	5.74	0.343	0.063
♂	61	1.50	1.90	2.97	4.59	5.74	0.343	0.066
♂	62	1.49	1.90	2.98	4.60	5.75	0.344	0.069
♂	63	1.49	1.90	2.98	4.61	5.77	0.345	0.072
♂	64	1.49	1.90	2.98	4.61	5.78	0.346	0.075
♂	65	1.49	1.90	2.99	4.62	5.79	0.347	0.078
♂	66	1.48	1.90	2.99	4.63	5.81	0.348	0.082
♂	67	1.48	1.90	2.99	4.64	5.81	0.348	0.085
♂	68	1.48	1.90	3.00	4.65	5.83	0.349	0.088
♂	69	1.48	1.90	3.01	4.67	5.85	0.350	0.091
♂	70	1.48	1.90	3.01	4.67	5.86	0.350	0.094
♂	71	1.48	1.91	3.02	4.69	5.88	0.351	0.097
♂	72	1.48	1.91	3.03	4.70	5.89	0.351	0.100
♂	73	1.48	1.91	3.03	4.72	5.91	0.352	0.103
♂	74	1.49	1.92	3.04	4.73	5.92	0.352	0.106
♂	75	1.49	1.92	3.05	4.74	5.93	0.352	0.109
♂	76	1.49	1.93	3.06	4.75	5.95	0.352	0.112
♂	77	1.50	1.93	3.07	4.77	5.96	0.352	0.115
♂	78	1.50	1.94	3.08	4.78	5.98	0.352	0.118
♂	79	1.51	1.95	3.09	4.80	6.00	0.352	0.121
♂	81	1.52	1.96	3.12	4.84	6.04	0.352	0.127
♂	82	1.52	1.97	3.13	4.86	6.06	0.352	0.130
♂	88	1.56	2.02	3.21	4.96	6.18	0.350	0.149

PBF

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	15.54	19.19	27.02	36.07	41.35	0.244	0.539
♀	19	15.49	19.19	27.13	36.28	41.61	0.246	0.552
♀	20	15.44	19.20	27.25	36.50	41.87	0.248	0.565
♀	21	15.38	19.20	27.37	36.72	42.14	0.250	0.578
♀	22	15.29	19.18	27.49	36.99	42.47	0.253	0.592
♀	23	15.23	19.19	27.62	37.21	42.74	0.255	0.606
♀	24	15.17	19.20	27.75	37.45	43.02	0.257	0.620
♀	25	15.07	19.18	27.89	37.73	43.36	0.260	0.635
♀	26	15.00	19.19	28.02	37.97	43.65	0.262	0.650
♀	27	14.94	19.20	28.16	38.21	43.93	0.264	0.665
♀	28	14.87	19.21	28.31	38.46	44.22	0.266	0.681
♀	29	14.80	19.22	28.45	38.72	44.52	0.268	0.696
♀	30	14.72	19.23	28.60	38.97	44.82	0.270	0.712
♀	31	14.69	19.27	28.76	39.19	45.06	0.271	0.729
♀	32	14.66	19.31	28.92	39.42	45.30	0.272	0.745
♀	33	14.62	19.36	29.08	39.65	45.55	0.273	0.762
♀	34	14.63	19.44	29.24	39.84	45.73	0.273	0.779
♀	35	14.59	19.48	29.41	40.08	45.99	0.274	0.797
♀	36	14.60	19.56	29.58	40.28	46.18	0.274	0.814
♀	37	14.66	19.68	29.76	40.45	46.32	0.273	0.832
♀	38	14.66	19.76	29.93	40.66	46.53	0.273	0.850
♀	39	14.66	19.85	30.12	40.87	46.73	0.273	0.869
♀	40	14.72	19.97	30.30	41.05	46.88	0.272	0.887
♀	41	14.72	20.06	30.49	41.28	47.10	0.272	0.906
♀	42	14.78	20.18	30.68	41.46	47.26	0.271	0.925
♀	43	14.78	20.27	30.88	41.70	47.49	0.271	0.944
♀	44	14.83	20.40	31.08	41.89	47.66	0.270	0.964
♀	45	14.89	20.54	31.28	42.10	47.84	0.269	0.983
♀	46	15.01	20.71	31.49	42.26	47.96	0.267	1.003
♀	47	15.06	20.85	31.70	42.47	48.14	0.266	1.024
♀	48	15.25	21.07	31.92	42.60	48.21	0.263	1.044
♀	49	15.37	21.26	32.14	42.78	48.34	0.261	1.065
♀	50	15.57	21.49	32.36	42.92	48.42	0.258	1.085
♀	51	15.77	21.73	32.59	43.07	48.51	0.255	1.106
♀	52	16.05	22.02	32.82	43.18	48.53	0.251	1.127
♀	53	16.33	22.31	33.05	43.29	48.57	0.247	1.149
♀	54	16.62	22.61	33.29	43.41	48.61	0.243	1.170
♀	55	17.00	22.96	33.53	43.50	48.59	0.238	1.192
♀	56	17.31	23.27	33.78	43.62	48.64	0.234	1.214
♀	57	17.71	23.64	34.03	43.71	48.63	0.229	1.237
♀	58	18.05	23.97	34.29	43.85	48.69	0.225	1.259
♀	59	18.47	24.35	34.54	43.94	48.69	0.220	1.282
♀	60	18.83	24.70	34.81	44.09	48.76	0.216	1.304
♀	61	19.20	25.05	35.08	44.23	48.83	0.212	1.327
♀	62	19.58	25.41	35.35	44.39	48.91	0.208	1.351
♀	63	19.97	25.78	35.63	44.54	49.00	0.204	1.374
♀	64	20.38	26.15	35.91	44.70	49.08	0.200	1.397
♀	65	20.79	26.53	36.19	44.86	49.17	0.196	1.421
♀	66	21.13	26.87	36.48	45.07	49.33	0.193	1.445
♀	67	21.48	27.21	36.78	45.29	49.50	0.190	1.469
♀	68	21.93	27.62	37.08	45.46	49.60	0.186	1.493
♀	69	22.29	27.98	37.38	45.69	49.77	0.183	1.518
♀	70	22.67	28.35	37.69	45.91	49.95	0.180	1.543
♀	71	23.06	28.72	38.01	46.15	50.14	0.177	1.567
♀	72	23.56	29.16	38.32	46.34	50.26	0.173	1.592
♀	73	23.96	29.55	38.65	46.58	50.45	0.170	1.618
♀	74	24.39	29.94	38.98	46.82	50.64	0.167	1.643
♀	75	24.92	30.41	39.31	47.02	50.78	0.163	1.668
♀	77	25.82	31.24	39.99	47.53	51.19	0.157	1.720
♀	78	26.39	31.73	40.34	47.75	51.34	0.153	1.746
♀	79	26.87	32.17	40.69	48.01	51.56	0.150	1.772
♀	80	27.37	32.62	41.05	48.28	51.78	0.147	1.798
♀	83	29.03	34.08	42.17	49.07	52.41	0.137	1.878
♂	18	8.78	10.90	16.03	23.00	27.59	0.291	0.182
♂	19	8.70	10.90	16.25	23.54	28.35	0.300	0.198
♂	20	8.61	10.89	16.48	24.09	29.12	0.309	0.214
♂	21	8.52	10.89	16.70	24.66	29.90	0.318	0.230
♂	22	8.45	10.90	16.93	25.20	30.65	0.326	0.246
♂	23	8.39	10.92	17.17	25.73	31.36	0.333	0.262
♂	24	8.35	10.96	17.41	26.24	32.03	0.339	0.278
♂	25	8.35	11.03	17.65	26.69	32.60	0.343	0.294
♂	26	8.38	11.13	17.90	27.09	33.08	0.345	0.309
♂	27	8.44	11.25	18.15	27.47	33.50	0.346	0.324
♂	28	8.52	11.38	18.40	27.81	33.88	0.346	0.338
♂	29	8.63	11.54	18.64	28.08	34.13	0.344	0.352
♂	30	8.75	11.71	18.87	28.34	34.37	0.342	0.366
♂	31	8.88	11.88	19.10	28.56	34.55	0.339	0.380
♂	32	9.02	12.05	19.32	28.76	34.70	0.336	0.393
♂	33	9.15	12.22	19.53	28.94	34.84	0.333	0.406
♂	34	9.25	12.36	19.72	29.14	35.01	0.331	0.418
♂	35	9.38	12.52	19.90	29.28	35.10	0.328	0.430
♂	36	9.47	12.64	20.06	29.44	35.22	0.326	0.442
♂	37	9.58	12.78	20.21	29.53	35.26	0.323	0.454
♂	38	9.67	12.89	20.35	29.65	35.33	0.321	0.465
♂	39	9.78	13.02	20.48	29.72	35.34	0.318	0.476
♂	40	9.86	13.12	20.59	29.81	35.39	0.316	0.486
♂	41	9.96	13.24	20.71	29.85	35.38	0.313	0.496
♂	42	10.07	13.36	20.81	29.89	35.35	0.310	0.506
♂	43	10.18	13.48	20.92	29.93	35.33	0.307	0.515
♂	44	10.29	13.60	21.02	29.97	35.31	0.304	0.524
♂	45	10.41	13.72	21.12	30.00	35.29	0.301	0.532
♂	46	10.52	13.84	21.23	30.04	35.27	0.298	0.540
♂	47	10.64	13.96	21.33	30.08	35.25	0.295	0.547
♂	48	10.77	14.09	21.43	30.11	35.23	0.292	0.555
♂	49	10.89	14.22	21.54	30.16	35.22	0.289	0.562
♂	50	11.02	14.35	21.65	30.20	35.22	0.286	0.568
♂	51	11.12	14.46	21.76	30.28	35.26	0.284	0.575
♂	52	11.26	14.60	21.87	30.33	35.27	0.281	0.581
♂	53	11.34	14.70	21.99	30.46	35.39	0.280	0.587
♂	54	11.45	14.82	22.12	30.56	35.47	0.278	0.593
♂	55	11.57	14.96	22.25	30.67	35.56	0.276	0.599
♂	56	11.67	15.07	22.40	30.83	35.71	0.275	0.605
♂	57	11.80	15.22	22.56	30.97	35.83	0.273	0.611
♂	58	11.87	15.32	22.72	31.19	36.08	0.273	0.616
♂	59	11.98	15.45	22.89	31.38	36.28	0.272	0.622
♂	60	12.05	15.57	23.07	31.62	36.54	0.272	0.628
♂	61	12.14	15.68	23.25	31.86	36.81	0.272	0.633
♂	62	12.22	15.80	23.44	32.11	37.09	0.272	0.639
♂	63	12.30	15.92	23.63	32.36	37.37	0.272	0.644
♂	64	12.38	16.04	23.82	32.62	37.65	0.272	0.650
♂	65	12.46	16.17	24.01	32.87	37.94	0.272	0.655
♂	66	12.55	16.29	24.21	33.13	38.22	0.272	0.660
♂	67	12.63	16.41	24.40	33.38	38.50	0.272	0.666
♂	68	12.75	16.56	24.59	33.60	38.73	0.271	0.671
♂	69	12.87	16.71	24.78	33.82	38.96	0.270	0.677
♂	70	12.99	16.86	24.97	34.03	39.18	0.269	0.682
♂	71	13.15	17.03	25.16	34.21	39.34	0.267	0.688
♂	72	13.32	17.21	25.35	34.39	39.51	0.265	0.693
♂	73	13.48	17.39	25.54	34.57	39.67	0.263	0.699
♂	74	13.65	17.58	25.74	34.76	39.84	0.261	0.704
♂	75	13.86	17.79	25.93	34.90	39.95	0.258	0.710
♂	76	14.08	18.01	26.14	35.06	40.07	0.255	0.715
♂	77	14.30	18.24	26.34	35.21	40.19	0.252	0.721
♂	78	14.53	18.47	26.55	35.37	40.31	0.249	0.726
♂	79	14.81	18.73	26.76	35.50	40.38	0.245	0.732
♂	81	15.34	19.24	27.19	35.80	40.59	0.238	0.743
♂	82	15.58	19.49	27.41	35.97	40.72	0.235	0.749
♂	88	17.32	21.15	28.80	36.93	41.40	0.214	0.782

TBF

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	10.23	12.16	17.15	24.89	30.71	0.279	-0.220
♀	19	10.12	12.09	17.27	25.40	31.58	0.289	-0.213
♀	20	10.00	12.03	17.39	25.92	32.47	0.299	-0.206
♀	21	9.87	11.95	17.51	26.49	33.46	0.310	-0.198
♀	22	9.72	11.86	17.64	27.11	34.56	0.322	-0.191
♀	23	9.59	11.78	17.77	27.71	35.61	0.333	-0.183
♀	24	9.45	11.69	17.90	28.36	36.77	0.345	-0.175
♀	25	9.31	11.61	18.04	29.03	37.97	0.357	-0.168
♀	26	9.18	11.53	18.17	29.67	39.11	0.368	-0.160
♀	27	9.06	11.46	18.31	30.33	40.28	0.379	-0.152
♀	28	8.95	11.40	18.45	30.96	41.38	0.389	-0.144
♀	29	8.85	11.34	18.60	31.60	42.52	0.399	-0.136
♀	30	8.77	11.31	18.74	32.15	43.46	0.407	-0.127
♀	31	8.71	11.29	18.89	32.68	44.35	0.414	-0.119
♀	32	8.66	11.29	19.04	33.17	45.15	0.420	-0.111
♀	33	8.62	11.29	19.20	33.67	45.96	0.426	-0.103
♀	34	8.60	11.31	19.35	34.08	46.56	0.430	-0.094
♀	35	8.57	11.32	19.51	34.54	47.29	0.435	-0.086
♀	36	8.57	11.36	19.67	34.92	47.82	0.438	-0.077
♀	37	8.55	11.38	19.83	35.34	48.44	0.442	-0.068
♀	38	8.55	11.42	20.00	35.73	48.99	0.445	-0.060
♀	39	8.54	11.45	20.17	36.12	49.53	0.448	-0.051
♀	40	8.56	11.50	20.34	36.47	49.97	0.450	-0.042
♀	41	8.55	11.54	20.51	36.87	50.51	0.453	-0.033
♀	42	8.55	11.58	20.69	37.28	51.09	0.456	-0.025
♀	43	8.54	11.62	20.87	37.69	51.65	0.459	-0.016
♀	44	8.55	11.67	21.05	38.05	52.11	0.461	-0.007
♀	45	8.56	11.73	21.24	38.42	52.58	0.463	0.002
♀	46	8.57	11.78	21.42	38.79	53.03	0.465	0.012
♀	47	8.61	11.86	21.61	39.07	53.30	0.465	0.021
♀	48	8.65	11.95	21.80	39.36	53.58	0.465	0.030
♀	49	8.73	12.07	22.00	39.55	53.67	0.463	0.039
♀	50	8.81	12.19	22.20	39.75	53.76	0.461	0.048
♀	51	8.93	12.34	22.40	39.84	53.63	0.457	0.058
♀	52	9.07	12.52	22.60	39.90	53.44	0.452	0.067
♀	53	9.21	12.70	22.81	39.95	53.25	0.447	0.077
♀	54	9.38	12.90	23.02	39.97	52.98	0.441	0.086
♀	55	9.56	13.12	23.23	39.94	52.62	0.434	0.096
♀	56	9.74	13.33	23.45	39.96	52.39	0.428	0.105
♀	57	9.92	13.54	23.66	39.99	52.15	0.422	0.115
♀	58	10.11	13.76	23.89	40.02	51.92	0.416	0.125
♀	59	10.30	13.98	24.11	40.06	51.72	0.410	0.134
♀	60	10.48	14.19	24.34	40.15	51.61	0.405	0.144
♀	61	10.65	14.40	24.57	40.24	51.50	0.400	0.154
♀	62	10.81	14.60	24.80	40.38	51.50	0.396	0.164
♀	63	10.98	14.80	25.04	40.54	51.51	0.392	0.173
♀	64	11.12	14.99	25.28	40.74	51.61	0.389	0.183
♀	65	11.27	15.18	25.52	40.94	51.71	0.386	0.193
♀	66	11.39	15.34	25.77	41.19	51.92	0.384	0.203
♀	67	11.54	15.54	26.02	41.40	52.03	0.381	0.213
♀	68	11.66	15.71	26.27	41.67	52.24	0.379	0.223
♀	69	11.82	15.91	26.53	41.89	52.38	0.376	0.233
♀	70	11.98	16.12	26.79	42.11	52.50	0.373	0.244
♀	71	12.17	16.35	27.06	42.29	52.56	0.369	0.254
♀	72	12.37	16.58	27.32	42.47	52.62	0.365	0.264
♀	73	12.57	16.83	27.59	42.66	52.69	0.361	0.274
♀	74	12.81	17.10	27.87	42.80	52.67	0.356	0.284
♀	75	13.08	17.40	28.15	42.89	52.57	0.350	0.295
♀	77	13.63	18.00	28.72	43.15	52.50	0.339	0.315
♀	78	13.96	18.35	29.01	43.21	52.33	0.332	0.326
♀	79	14.27	18.68	29.30	43.32	52.27	0.326	0.336
♀	80	14.59	19.02	29.60	43.43	52.21	0.320	0.347
♀	83	15.61	20.08	30.52	43.79	52.05	0.302	0.379
♂	18	7.24	8.74	12.72	19.12	24.07	0.305	-0.203
♂	19	7.20	8.75	12.94	19.76	25.10	0.317	-0.197
♂	20	7.15	8.76	13.16	20.45	26.25	0.330	-0.192
♂	21	7.10	8.77	13.38	21.17	27.44	0.343	-0.186
♂	22	7.07	8.79	13.61	21.88	28.62	0.355	-0.180
♂	23	7.03	8.81	13.84	22.61	29.86	0.367	-0.175
♂	24	7.00	8.84	14.08	23.34	31.07	0.378	-0.169
♂	25	6.99	8.88	14.32	24.05	32.25	0.388	-0.163
♂	26	7.00	8.94	14.56	24.71	33.33	0.396	-0.158
♂	27	7.02	9.01	14.81	25.35	34.35	0.403	-0.152
♂	28	7.08	9.11	15.05	25.89	35.15	0.407	-0.146
♂	29	7.13	9.20	15.30	26.44	35.96	0.411	-0.140
♂	30	7.22	9.33	15.54	26.87	36.54	0.412	-0.135
♂	31	7.29	9.44	15.78	27.33	37.18	0.414	-0.129
♂	32	7.39	9.57	16.01	27.71	37.63	0.414	-0.123
♂	33	7.47	9.69	16.23	28.12	38.17	0.415	-0.118
♂	34	7.55	9.81	16.45	28.46	38.59	0.415	-0.112
♂	35	7.62	9.91	16.65	28.83	39.07	0.416	-0.106
♂	36	7.68	10.01	16.84	29.17	39.51	0.417	-0.100
♂	37	7.75	10.11	17.02	29.46	39.86	0.417	-0.095
♂	38	7.80	10.19	17.19	29.77	40.25	0.418	-0.089
♂	39	7.85	10.27	17.35	30.01	40.53	0.418	-0.083
♂	40	7.91	10.36	17.50	30.25	40.81	0.418	-0.078
♂	41	7.96	10.43	17.65	30.47	41.05	0.418	-0.072
♂	42	8.04	10.53	17.78	30.60	41.11	0.416	-0.066
♂	43	8.11	10.63	17.91	30.72	41.17	0.414	-0.061
♂	44	8.18	10.72	18.04	30.82	41.20	0.412	-0.055
♂	45	8.29	10.83	18.16	30.84	41.05	0.408	-0.049
♂	46	8.37	10.94	18.27	30.89	40.98	0.405	-0.043
♂	47	8.47	11.05	18.38	30.89	40.83	0.401	-0.038
♂	48	8.56	11.15	18.49	30.92	40.74	0.398	-0.032
♂	49	8.64	11.24	18.59	30.95	40.64	0.395	-0.026
♂	50	8.72	11.34	18.69	30.97	40.55	0.392	-0.021
♂	51	8.78	11.42	18.78	31.02	40.52	0.390	-0.015
♂	52	8.83	11.48	18.88	31.11	40.56	0.389	-0.009
♂	53	8.87	11.54	18.96	31.20	40.62	0.388	-0.004
♂	54	8.92	11.60	19.05	31.28	40.66	0.387	0.002
♂	55	8.96	11.66	19.14	31.36	40.70	0.386	0.008
♂	56	8.99	11.71	19.23	31.49	40.82	0.386	0.014
♂	57	9.02	11.76	19.33	31.62	40.96	0.386	0.019
♂	58	9.03	11.79	19.42	31.80	41.17	0.387	0.025
♂	59	9.06	11.84	19.52	31.93	41.31	0.387	0.031
♂	60	9.07	11.88	19.61	32.11	41.53	0.388	0.036
♂	61	9.06	11.89	19.71	32.32	41.83	0.390	0.042
♂	62	9.07	11.93	19.81	32.50	42.04	0.391	0.048
♂	63	9.06	11.94	19.90	32.71	42.34	0.393	0.053
♂	64	9.07	11.98	19.99	32.88	42.55	0.394	0.059
♂	65	9.06	11.99	20.08	33.09	42.83	0.396	0.065
♂	66	9.06	12.02	20.18	33.26	43.03	0.397	0.071
♂	67	9.07	12.05	20.26	33.43	43.24	0.398	0.076
♂	68	9.09	12.09	20.35	33.54	43.35	0.398	0.082
♂	69	9.11	12.13	20.44	33.66	43.46	0.398	0.088
♂	70	9.15	12.19	20.52	33.74	43.51	0.397	0.093
♂	71	9.19	12.24	20.61	33.82	43.53	0.396	0.099
♂	72	9.25	12.32	20.69	33.85	43.48	0.394	0.105
♂	73	9.31	12.40	20.78	33.89	43.45	0.392	0.110
♂	74	9.39	12.49	20.87	33.88	43.33	0.389	0.116
♂	75	9.48	12.58	20.96	33.88	43.21	0.386	0.122
♂	76	9.58	12.70	21.05	33.84	43.03	0.382	0.128
♂	77	9.69	12.81	21.14	33.81	42.86	0.378	0.133
♂	78	9.80	12.93	21.24	33.77	42.68	0.374	0.139
♂	79	9.94	13.07	21.33	33.70	42.44	0.369	0.145
♂	81	10.20	13.34	21.53	33.62	42.05	0.360	0.156
♂	82	10.34	13.49	21.63	33.56	41.83	0.355	0.162
♂	88	11.22	14.38	22.26	33.30	40.71	0.327	0.196

RAT_FMHEIGHT2

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	3.73	4.42	6.24	9.11	11.33	0.281	-0.274
♀	19	3.70	4.41	6.28	9.29	11.63	0.290	-0.263
♀	20	3.65	4.38	6.33	9.49	11.98	0.301	-0.252
♀	21	3.61	4.36	6.37	9.69	12.32	0.311	-0.241
♀	22	3.56	4.33	6.42	9.90	12.69	0.322	-0.230
♀	23	3.52	4.30	6.47	10.11	13.05	0.332	-0.219
♀	24	3.47	4.28	6.51	10.33	13.44	0.343	-0.208
♀	25	3.42	4.25	6.56	10.55	13.84	0.354	-0.197
♀	26	3.38	4.23	6.61	10.77	14.21	0.364	-0.186
♀	27	3.34	4.20	6.66	10.99	14.59	0.374	-0.175
♀	28	3.31	4.19	6.71	11.19	14.95	0.383	-0.164
♀	29	3.28	4.17	6.76	11.39	15.28	0.391	-0.152
♀	30	3.25	4.16	6.82	11.59	15.61	0.399	-0.141
♀	31	3.23	4.16	6.87	11.76	15.89	0.405	-0.130
♀	32	3.21	4.16	6.93	11.94	16.16	0.411	-0.119
♀	33	3.20	4.16	6.99	12.10	16.41	0.416	-0.108
♀	34	3.19	4.17	7.05	12.27	16.66	0.421	-0.097
♀	35	3.18	4.18	7.11	12.42	16.88	0.425	-0.086
♀	36	3.17	4.19	7.18	12.58	17.10	0.429	-0.075
♀	37	3.17	4.20	7.24	12.74	17.33	0.433	-0.064
♀	38	3.17	4.21	7.31	12.89	17.52	0.436	-0.053
♀	39	3.17	4.23	7.38	13.04	17.72	0.439	-0.041
♀	40	3.17	4.25	7.45	13.19	17.92	0.442	-0.030
♀	41	3.16	4.26	7.52	13.37	18.17	0.446	-0.019
♀	42	3.16	4.28	7.60	13.53	18.38	0.449	-0.008
♀	43	3.16	4.29	7.68	13.71	18.64	0.453	0.003
♀	44	3.16	4.31	7.76	13.88	18.86	0.456	0.014
♀	45	3.16	4.33	7.84	14.06	19.08	0.459	0.025
♀	46	3.16	4.36	7.92	14.22	19.28	0.461	0.036
♀	47	3.17	4.39	8.01	14.36	19.44	0.462	0.047
♀	48	3.19	4.43	8.10	14.51	19.60	0.463	0.059
♀	49	3.21	4.47	8.19	14.62	19.69	0.462	0.070
♀	50	3.25	4.53	8.27	14.70	19.72	0.459	0.081
♀	51	3.29	4.59	8.37	14.78	19.75	0.456	0.092
♀	52	3.34	4.66	8.46	14.85	19.75	0.452	0.103
♀	53	3.40	4.73	8.56	14.90	19.72	0.447	0.114
♀	54	3.47	4.81	8.65	14.94	19.66	0.441	0.125
♀	55	3.54	4.90	8.75	14.97	19.60	0.435	0.136
♀	56	3.61	4.99	8.85	15.00	19.52	0.428	0.147
♀	57	3.69	5.09	8.95	15.04	19.47	0.422	0.158
♀	58	3.77	5.18	9.05	15.06	19.39	0.415	0.170
♀	59	3.86	5.29	9.16	15.09	19.32	0.408	0.181
♀	60	3.94	5.38	9.26	15.14	19.29	0.402	0.192
♀	61	4.03	5.48	9.37	15.19	19.26	0.396	0.203
♀	62	4.10	5.58	9.48	15.26	19.27	0.391	0.214
♀	63	4.18	5.68	9.59	15.33	19.28	0.386	0.225
♀	64	4.27	5.77	9.70	15.40	19.30	0.381	0.236
♀	65	4.35	5.88	9.81	15.47	19.32	0.376	0.247
♀	66	4.43	5.97	9.93	15.57	19.37	0.372	0.258
♀	67	4.50	6.07	10.05	15.66	19.42	0.368	0.270
♀	68	4.58	6.17	10.16	15.76	19.48	0.364	0.281
♀	69	4.67	6.27	10.28	15.85	19.53	0.360	0.292
♀	70	4.75	6.37	10.40	15.95	19.59	0.356	0.303
♀	71	4.84	6.47	10.53	16.05	19.65	0.352	0.314
♀	72	4.93	6.58	10.65	16.15	19.72	0.348	0.325
♀	73	5.02	6.69	10.77	16.25	19.78	0.344	0.336
♀	74	5.12	6.81	10.90	16.34	19.82	0.339	0.347
♀	75	5.22	6.92	11.03	16.44	19.89	0.335	0.358
♀	77	5.44	7.17	11.28	16.61	19.96	0.325	0.381
♀	78	5.56	7.30	11.42	16.70	20.00	0.320	0.392
♀	79	5.66	7.42	11.55	16.81	20.08	0.316	0.403
♀	80	5.79	7.56	11.69	16.90	20.12	0.311	0.414
♀	83	6.17	7.97	12.10	17.20	20.30	0.297	0.447
♂	18	2.18	2.66	3.95	6.11	7.84	0.324	-0.220
♂	19	2.19	2.68	4.03	6.30	8.14	0.333	-0.214
♂	20	2.19	2.70	4.11	6.51	8.47	0.343	-0.208
♂	21	2.19	2.72	4.18	6.71	8.80	0.352	-0.202
♂	22	2.20	2.74	4.26	6.93	9.14	0.361	-0.197
♂	23	2.20	2.76	4.34	7.14	9.48	0.370	-0.191
♂	24	2.21	2.78	4.43	7.35	9.82	0.378	-0.185
♂	25	2.22	2.81	4.51	7.56	10.14	0.385	-0.179
♂	26	2.23	2.84	4.59	7.77	10.47	0.392	-0.173
♂	27	2.25	2.87	4.68	7.96	10.76	0.397	-0.167
♂	28	2.27	2.91	4.76	8.12	11.00	0.400	-0.161
♂	29	2.30	2.94	4.84	8.29	11.24	0.403	-0.155
♂	30	2.32	2.98	4.92	8.44	11.45	0.405	-0.149
♂	31	2.35	3.02	4.99	8.58	11.62	0.406	-0.143
♂	32	2.38	3.06	5.07	8.71	11.80	0.407	-0.137
♂	33	2.40	3.10	5.14	8.83	11.96	0.408	-0.131
♂	34	2.42	3.13	5.20	8.95	12.11	0.409	-0.125
♂	35	2.45	3.17	5.27	9.05	12.23	0.409	-0.119
♂	36	2.47	3.20	5.33	9.15	12.37	0.410	-0.113
♂	37	2.49	3.23	5.38	9.24	12.47	0.410	-0.107
♂	38	2.51	3.26	5.43	9.32	12.56	0.410	-0.101
♂	39	2.53	3.28	5.48	9.40	12.65	0.410	-0.096
♂	40	2.54	3.31	5.53	9.47	12.73	0.410	-0.090
♂	41	2.56	3.33	5.57	9.52	12.77	0.409	-0.084
♂	42	2.58	3.36	5.61	9.57	12.81	0.408	-0.078
♂	43	2.61	3.39	5.65	9.61	12.83	0.406	-0.072
♂	44	2.63	3.42	5.69	9.64	12.84	0.404	-0.066
♂	45	2.65	3.45	5.73	9.67	12.85	0.402	-0.060
♂	46	2.68	3.48	5.77	9.70	12.86	0.400	-0.054
♂	47	2.71	3.51	5.81	9.72	12.84	0.397	-0.048
♂	48	2.73	3.54	5.84	9.75	12.84	0.395	-0.042
♂	49	2.75	3.57	5.88	9.78	12.85	0.393	-0.036
♂	50	2.77	3.60	5.92	9.80	12.85	0.391	-0.030
♂	51	2.79	3.62	5.95	9.84	12.88	0.390	-0.024
♂	52	2.81	3.65	5.99	9.87	12.88	0.388	-0.018
♂	53	2.83	3.67	6.03	9.91	12.91	0.387	-0.012
♂	54	2.85	3.70	6.06	9.95	12.94	0.386	-0.006
♂	55	2.86	3.72	6.10	10.00	13.00	0.386	0.000
♂	56	2.88	3.74	6.14	10.05	13.03	0.385	0.006
♂	57	2.90	3.77	6.18	10.11	13.10	0.385	0.011
♂	58	2.91	3.79	6.22	10.17	13.17	0.385	0.017
♂	59	2.93	3.81	6.26	10.23	13.24	0.385	0.023
♂	60	2.94	3.84	6.31	10.29	13.30	0.385	0.029
♂	61	2.95	3.86	6.35	10.37	13.40	0.386	0.035
♂	62	2.96	3.87	6.39	10.45	13.49	0.387	0.041
♂	63	2.97	3.89	6.44	10.52	13.59	0.388	0.047
♂	64	2.98	3.91	6.48	10.60	13.68	0.389	0.053
♂	65	2.98	3.93	6.52	10.68	13.78	0.390	0.059
♂	66	2.99	3.95	6.57	10.75	13.87	0.391	0.065
♂	67	3.00	3.96	6.61	10.82	13.96	0.392	0.071
♂	68	3.00	3.98	6.65	10.90	14.05	0.393	0.077
♂	69	3.01	3.99	6.69	10.97	14.14	0.394	0.083
♂	70	3.02	4.01	6.73	11.04	14.22	0.395	0.089
♂	71	3.03	4.03	6.77	11.10	14.29	0.395	0.095
♂	72	3.04	4.05	6.81	11.15	14.34	0.395	0.101
♂	73	3.05	4.07	6.85	11.21	14.41	0.395	0.107
♂	74	3.07	4.10	6.89	11.25	14.44	0.394	0.112
♂	75	3.08	4.12	6.93	11.31	14.51	0.394	0.118
♂	76	3.10	4.14	6.97	11.36	14.55	0.393	0.124
♂	77	3.12	4.17	7.01	11.41	14.58	0.392	0.130
♂	78	3.14	4.20	7.05	11.46	14.62	0.391	0.136
♂	79	3.16	4.23	7.10	11.51	14.67	0.390	0.142
♂	81	3.20	4.29	7.19	11.61	14.76	0.388	0.154
♂	82	3.23	4.32	7.24	11.65	14.78	0.386	0.160
♂	88	3.38	4.52	7.53	11.95	15.03	0.378	0.196

TLM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	18	34.46	37.95	45.21	53.38	58.10	0.133	0.303
♀	19	34.44	37.92	45.20	53.48	58.29	0.134	0.253
♀	20	34.43	37.90	45.19	53.57	58.48	0.135	0.203
♀	21	34.42	37.87	45.19	53.67	58.68	0.136	0.153
♀	22	34.41	37.85	45.19	53.77	58.89	0.137	0.104
♀	23	34.47	37.87	45.18	53.81	58.98	0.137	0.056
♀	24	34.47	37.86	45.19	53.92	59.20	0.138	0.008
♀	25	34.47	37.84	45.20	54.04	59.44	0.139	-0.038
♀	26	34.47	37.84	45.21	54.17	59.68	0.140	-0.083
♀	27	34.54	37.88	45.24	54.24	59.81	0.140	-0.125
♀	28	34.55	37.89	45.27	54.39	60.07	0.141	-0.166
♀	29	34.63	37.94	45.31	54.47	60.22	0.141	-0.204
♀	30	34.64	37.96	45.35	54.63	60.50	0.142	-0.241
♀	31	34.72	38.02	45.40	54.72	60.65	0.142	-0.275
♀	32	34.80	38.08	45.45	54.82	60.81	0.142	-0.308
♀	33	34.88	38.14	45.51	54.91	60.96	0.142	-0.340
♀	34	34.95	38.20	45.56	55.00	61.11	0.142	-0.370
♀	35	35.03	38.26	45.60	55.09	61.25	0.142	-0.399
♀	36	35.09	38.31	45.65	55.17	61.39	0.142	-0.427
♀	37	35.16	38.36	45.69	55.25	61.52	0.142	-0.454
♀	38	35.21	38.40	45.72	55.31	61.64	0.142	-0.479
♀	39	35.26	38.44	45.75	55.37	61.74	0.142	-0.504
♀	40	35.30	38.46	45.76	55.41	61.84	0.142	-0.527
♀	41	35.39	38.53	45.78	55.37	61.77	0.141	-0.548
♀	42	35.41	38.54	45.78	55.39	61.83	0.141	-0.567
♀	43	35.42	38.54	45.77	55.40	61.86	0.141	-0.584
♀	44	35.42	38.53	45.75	55.39	61.88	0.141	-0.597
♀	45	35.47	38.56	45.72	55.28	61.72	0.140	-0.608
♀	46	35.44	38.53	45.67	55.24	61.69	0.140	-0.616
♀	47	35.40	38.48	45.62	55.17	61.62	0.140	-0.620
♀	48	35.35	38.42	45.55	55.09	61.53	0.140	-0.620
♀	49	35.28	38.35	45.46	54.98	61.40	0.140	-0.616
♀	50	35.20	38.27	45.37	54.86	61.26	0.140	-0.608
♀	51	35.11	38.17	45.27	54.73	61.08	0.140	-0.596
♀	52	35.01	38.07	45.16	54.58	60.89	0.140	-0.581
♀	53	34.90	37.96	45.04	54.42	60.68	0.140	-0.563
♀	54	34.78	37.85	44.92	54.25	60.46	0.140	-0.541
♀	55	34.66	37.73	44.80	54.08	60.22	0.140	-0.517
♀	56	34.53	37.61	44.67	53.90	59.98	0.140	-0.490
♀	57	34.40	37.49	44.54	53.72	59.73	0.140	-0.460
♀	58	34.27	37.37	44.42	53.54	59.48	0.140	-0.429
♀	59	34.14	37.24	44.29	53.35	59.22	0.140	-0.395
♀	60	34.00	37.12	44.17	53.17	58.96	0.140	-0.360
♀	61	33.92	37.04	44.04	52.91	58.58	0.139	-0.323
♀	62	33.78	36.91	43.92	52.73	58.32	0.139	-0.285
♀	63	33.64	36.79	43.79	52.54	58.06	0.139	-0.245
♀	64	33.50	36.66	43.67	52.36	57.80	0.139	-0.205
♀	65	33.35	36.53	43.54	52.17	57.54	0.139	-0.164
♀	66	33.21	36.40	43.42	51.98	57.28	0.139	-0.122
♀	67	33.06	36.27	43.29	51.80	57.02	0.139	-0.079
♀	68	32.91	36.14	43.16	51.61	56.76	0.139	-0.036
♀	69	32.76	36.01	43.04	51.42	56.50	0.139	0.007
♀	70	32.61	35.88	42.91	51.24	56.24	0.139	0.051
♀	71	32.46	35.75	42.78	51.05	55.99	0.139	0.095
♀	72	32.38	35.66	42.66	50.80	55.63	0.138	0.139
♀	73	32.23	35.53	42.53	50.62	55.38	0.138	0.184
♀	74	32.08	35.40	42.41	50.44	55.13	0.138	0.228
♀	75	31.93	35.27	42.28	50.25	54.89	0.138	0.273
♀	77	31.62	35.01	42.04	49.90	54.41	0.138	0.363
♀	78	31.54	34.93	41.91	49.66	54.07	0.137	0.408
♀	79	31.39	34.80	41.79	49.48	53.84	0.137	0.453
♀	80	31.23	34.67	41.67	49.31	53.61	0.137	0.498
♀	83	30.77	34.29	41.30	48.78	52.93	0.137	0.632
♂	18	48.70	53.70	63.76	74.61	80.67	0.128	0.538
♂	19	49.00	53.96	64.02	74.97	81.12	0.128	0.481
♂	20	49.18	54.14	64.26	75.40	81.71	0.129	0.425
♂	21	49.46	54.38	64.49	75.72	82.13	0.129	0.369
♂	22	49.72	54.60	64.70	76.01	82.52	0.129	0.314
♂	23	49.94	54.79	64.87	76.27	82.87	0.129	0.261
♂	24	50.14	54.94	65.01	76.49	83.17	0.129	0.210
♂	25	50.30	55.07	65.11	76.65	83.42	0.129	0.163
♂	26	50.42	55.15	65.17	76.77	83.61	0.129	0.119
♂	27	50.41	55.14	65.21	76.95	83.92	0.130	0.078
♂	28	50.49	55.18	65.23	77.01	84.04	0.130	0.041
♂	29	50.55	55.22	65.24	77.05	84.15	0.130	0.008
♂	30	50.61	55.25	65.25	77.10	84.24	0.130	-0.022
♂	31	50.67	55.29	65.27	77.15	84.34	0.130	-0.048
♂	32	50.73	55.34	65.31	77.22	84.46	0.130	-0.072
♂	33	50.81	55.40	65.36	77.31	84.58	0.130	-0.092
♂	34	50.79	55.40	65.42	77.50	84.89	0.131	-0.109
♂	35	50.87	55.47	65.50	77.61	85.03	0.131	-0.123
♂	36	50.95	55.55	65.58	77.72	85.16	0.131	-0.133
♂	37	51.02	55.62	65.66	77.82	85.29	0.131	-0.140
♂	38	51.09	55.70	65.75	77.92	85.40	0.131	-0.143
♂	39	51.16	55.77	65.83	78.02	85.51	0.131	-0.142
♂	40	51.21	55.83	65.91	78.11	85.60	0.131	-0.135
♂	41	51.15	55.82	65.99	78.29	85.83	0.132	-0.122
♂	42	51.18	55.86	66.06	78.36	85.87	0.132	-0.105
♂	43	51.19	55.89	66.12	78.40	85.88	0.132	-0.082
♂	44	51.17	55.91	66.16	78.42	85.86	0.132	-0.054
♂	45	51.14	55.91	66.19	78.42	85.80	0.132	-0.022
♂	46	51.09	55.89	66.20	78.39	85.71	0.132	0.015
♂	47	50.91	55.77	66.19	78.43	85.75	0.133	0.054
♂	48	50.81	55.71	66.16	78.35	85.59	0.133	0.097
♂	49	50.68	55.63	66.10	78.23	85.39	0.133	0.142
♂	50	50.54	55.52	66.02	78.08	85.16	0.133	0.188
♂	51	50.37	55.39	65.92	77.90	84.89	0.133	0.235
♂	52	50.18	55.24	65.78	77.69	84.59	0.133	0.282
♂	53	49.96	55.06	65.62	77.45	84.26	0.133	0.329
♂	54	49.62	54.78	65.43	77.27	84.05	0.134	0.376
♂	55	49.37	54.56	65.21	76.97	83.66	0.134	0.420
♂	56	49.10	54.33	64.97	76.65	83.25	0.134	0.463
♂	57	48.82	54.07	64.71	76.30	82.81	0.134	0.504
♂	58	48.54	53.80	64.43	75.93	82.37	0.134	0.541
♂	59	48.24	53.52	64.13	75.54	81.90	0.134	0.576
♂	60	47.93	53.23	63.81	75.13	81.42	0.134	0.609
♂	61	47.50	52.84	63.47	74.79	81.05	0.135	0.639
♂	62	47.18	52.52	63.12	74.35	80.54	0.135	0.667
♂	63	46.85	52.19	62.76	73.89	80.01	0.135	0.694
♂	64	46.52	51.86	62.38	73.43	79.48	0.135	0.718
♂	65	46.18	51.52	62.00	72.95	78.94	0.135	0.742
♂	66	45.84	51.17	61.61	72.48	78.40	0.135	0.764
♂	67	45.39	50.76	61.22	72.09	77.98	0.136	0.786
♂	68	45.06	50.42	60.83	71.61	77.45	0.136	0.808
♂	69	44.73	50.08	60.45	71.14	76.91	0.136	0.829
♂	70	44.40	49.75	60.08	70.68	76.39	0.136	0.851
♂	71	44.09	49.42	59.71	70.23	75.88	0.136	0.872
♂	72	43.78	49.11	59.35	69.79	75.39	0.136	0.893
♂	73	43.47	48.80	59.01	69.37	74.90	0.136	0.915
♂	74	43.06	48.43	58.67	69.03	74.55	0.137	0.937
♂	75	42.78	48.14	58.35	68.63	74.10	0.137	0.958
♂	76	42.50	47.86	58.03	68.24	73.65	0.137	0.980
♂	77	42.22	47.59	57.72	67.86	73.22	0.137	1.002
♂	78	41.95	47.32	57.42	67.49	72.80	0.137	1.024
♂	79	41.68	47.06	57.13	67.12	72.38	0.137	1.046
♂	81	41.05	46.47	56.56	66.48	71.69	0.138	1.089
♂	82	40.79	46.22	56.27	66.13	71.29	0.138	1.111
♂	88	39.16	44.66	54.62	64.15	69.06	0.139	1.242

ofenheimer_bf.ref

Citations

• Ofenheimer A, Breyer-Kohansal R, Hartl S, et al. Reference values of body composition parameters and visceral adipose tissue (VAT) by DXA in adults aged 18–81 years—results from the LEAD cohort. European Journal of Clinical Nutrition 2020;74(8):1181–91.

FMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	2.17	2.75	4.58	8.38	12.16	0.430	-0.309
♂	20	2.28	2.91	4.84	8.70	12.33	0.424	-0.256
♂	25	2.56	3.31	5.50	9.47	12.84	0.410	-0.128
♂	30	2.83	3.69	6.12	10.18	13.35	0.396	-0.013
♂	35	3.07	4.03	6.64	10.73	13.74	0.382	0.081
♂	40	3.30	4.35	7.11	11.22	14.11	0.369	0.153
♂	45	3.54	4.66	7.54	11.68	14.50	0.357	0.204
♂	50	3.79	4.97	7.93	12.08	14.85	0.345	0.239
♂	55	4.05	5.26	8.27	12.40	15.12	0.333	0.261
♂	60	4.28	5.53	8.55	12.63	15.28	0.321	0.277
♂	65	4.48	5.74	8.77	12.79	15.38	0.311	0.291
♂	70	4.67	5.93	8.93	12.84	15.33	0.300	0.310
♂	75	4.82	6.08	9.05	12.84	15.22	0.290	0.335
♂	80	4.96	6.22	9.14	12.81	15.08	0.280	0.364
♂	81	4.99	6.25	9.16	12.80	15.05	0.278	0.370
♀	18	4.17	4.92	7.01	10.84	14.31	0.304	-0.521
♀	20	4.16	4.92	7.08	11.04	14.61	0.311	-0.491
♀	25	4.09	4.92	7.26	11.56	15.42	0.330	-0.415
♀	30	4.03	4.92	7.46	12.12	16.26	0.349	-0.340
♀	35	4.03	4.99	7.74	12.73	17.06	0.364	-0.264
♀	40	4.11	5.16	8.14	13.42	17.84	0.372	-0.189
♀	45	4.29	5.43	8.62	14.06	18.42	0.371	-0.114
♀	50	4.53	5.77	9.18	14.71	18.95	0.365	-0.038
♀	55	4.84	6.19	9.80	15.39	19.48	0.355	0.037
♀	60	5.17	6.63	10.40	15.98	19.89	0.343	0.112
♀	65	5.48	7.02	10.91	16.39	20.09	0.330	0.188
♀	70	5.76	7.38	11.33	16.64	20.10	0.316	0.263
♀	75	6.04	7.73	11.72	16.88	20.13	0.303	0.338
♀	80	6.36	8.11	12.13	17.12	20.17	0.289	0.414
♀	81	6.41	8.18	12.21	17.18	20.21	0.287	0.429

LMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	13.53	14.59	16.83	19.44	21.00	0.112	-0.071
♂	20	13.70	14.74	16.95	19.54	21.08	0.110	-0.114
♂	25	14.05	15.06	17.24	19.82	21.37	0.107	-0.218
♂	30	14.35	15.35	17.49	20.04	21.59	0.104	-0.308
♂	35	14.57	15.55	17.67	20.20	21.74	0.102	-0.355
♂	40	14.71	15.70	17.82	20.34	21.87	0.101	-0.343
♂	45	14.82	15.82	17.94	20.44	21.95	0.100	-0.275
♂	50	14.91	15.92	18.04	20.52	21.98	0.099	-0.177
♂	55	14.98	15.99	18.12	20.56	21.99	0.098	-0.079
♂	60	15.01	16.02	18.12	20.49	21.87	0.096	0.009
♂	65	15.01	16.00	18.03	20.31	21.61	0.093	0.080
♂	70	14.95	15.91	17.88	20.04	21.28	0.090	0.143
♂	75	14.91	15.83	17.70	19.74	20.89	0.086	0.212
♂	80	14.84	15.73	17.53	19.46	20.55	0.083	0.284
♂	81	14.84	15.72	17.49	19.40	20.47	0.082	0.298
♀	18	11.30	12.01	13.60	15.66	17.01	0.103	-0.928
♀	20	11.40	12.10	13.70	15.78	17.16	0.103	-1.004
♀	25	11.62	12.32	13.93	16.08	17.55	0.103	-1.182
♀	30	11.83	12.53	14.15	16.36	17.88	0.103	-1.293
♀	35	12.01	12.71	14.36	16.60	18.16	0.103	-1.333
♀	40	12.13	12.85	14.53	16.82	18.41	0.104	-1.287
♀	45	12.20	12.95	14.66	16.94	18.48	0.104	-1.126
♀	50	12.24	13.01	14.75	17.01	18.50	0.104	-0.945
♀	55	12.25	13.04	14.82	17.09	18.56	0.105	-0.813
♀	60	12.29	13.09	14.88	17.15	18.60	0.105	-0.734
♀	65	12.33	13.14	14.94	17.21	18.67	0.105	-0.725
♀	70	12.39	13.20	15.00	17.29	18.76	0.105	-0.755
♀	75	12.42	13.23	15.06	17.38	18.89	0.106	-0.778
♀	80	12.47	13.29	15.12	17.46	18.97	0.106	-0.780
♀	81	12.49	13.30	15.14	17.47	18.99	0.106	-0.780

ALMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	6.33	6.88	8.09	9.55	10.45	0.128	-0.161
♂	20	6.39	6.95	8.15	9.62	10.52	0.127	-0.178
♂	25	6.53	7.08	8.29	9.76	10.66	0.125	-0.215
♂	30	6.61	7.16	8.37	9.84	10.75	0.124	-0.236
♂	35	6.64	7.19	8.39	9.83	10.72	0.122	-0.228
♂	40	6.66	7.21	8.40	9.83	10.70	0.121	-0.186
♂	45	6.68	7.23	8.41	9.81	10.65	0.119	-0.106
♂	50	6.68	7.24	8.42	9.79	10.61	0.118	0.005
♂	55	6.67	7.23	8.40	9.73	10.51	0.116	0.130
♂	60	6.59	7.15	8.31	9.61	10.35	0.115	0.260
♂	65	6.49	7.05	8.18	9.42	10.12	0.113	0.379
♂	70	6.37	6.92	8.03	9.23	9.90	0.112	0.482
♂	75	6.25	6.80	7.89	9.04	9.68	0.111	0.580
♂	80	6.16	6.70	7.75	8.86	9.47	0.109	0.677
♂	81	6.13	6.67	7.73	8.83	9.43	0.109	0.696
♀	18	4.89	5.25	6.09	7.29	8.17	0.127	-1.140
♀	20	4.93	5.30	6.18	7.40	8.25	0.129	-0.926
♀	25	4.96	5.39	6.36	7.59	8.36	0.133	-0.342
♀	30	4.88	5.39	6.46	7.64	8.32	0.136	0.370
♀	35	4.87	5.42	6.53	7.74	8.42	0.139	0.520
♀	40	5.05	5.53	6.59	7.90	8.71	0.139	-0.170
♀	45	5.11	5.55	6.57	7.92	8.82	0.138	-0.584
♀	50	5.10	5.54	6.53	7.86	8.74	0.136	-0.618
♀	55	5.08	5.52	6.52	7.80	8.64	0.135	-0.434
♀	60	5.04	5.50	6.53	7.80	8.59	0.136	-0.206
♀	65	5.07	5.53	6.56	7.84	8.64	0.136	-0.249
♀	70	5.11	5.55	6.55	7.85	8.71	0.135	-0.541
♀	75	5.16	5.58	6.56	7.86	8.73	0.133	-0.659
♀	80	5.23	5.65	6.62	7.88	8.71	0.129	-0.614
♀	81	5.25	5.67	6.63	7.88	8.70	0.128	-0.602

FMRAG

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	0.19	0.23	0.33	0.48	0.59	0.290	-0.154
♂	20	0.20	0.25	0.35	0.52	0.63	0.291	-0.081
♂	25	0.23	0.28	0.42	0.60	0.73	0.294	0.101
♂	30	0.25	0.32	0.48	0.69	0.82	0.297	0.273
♂	35	0.27	0.35	0.54	0.77	0.91	0.299	0.426
♂	40	0.30	0.39	0.60	0.84	0.98	0.295	0.550
♂	45	0.33	0.43	0.66	0.91	1.05	0.284	0.645
♂	50	0.36	0.47	0.71	0.97	1.12	0.273	0.712
♂	55	0.40	0.51	0.76	1.02	1.17	0.262	0.752
♂	60	0.43	0.55	0.80	1.06	1.21	0.253	0.769
♂	65	0.45	0.57	0.83	1.10	1.25	0.248	0.772
♂	70	0.47	0.59	0.85	1.13	1.28	0.246	0.773
♂	75	0.47	0.60	0.87	1.15	1.31	0.247	0.779
♂	80	0.48	0.61	0.88	1.18	1.34	0.250	0.788
♂	81	0.48	0.61	0.89	1.18	1.34	0.250	0.790
♀	18	0.16	0.20	0.28	0.40	0.48	0.279	-0.033
♀	20	0.16	0.20	0.29	0.41	0.50	0.287	-0.015
♀	25	0.16	0.20	0.30	0.44	0.54	0.306	0.030
♀	30	0.16	0.20	0.31	0.46	0.57	0.324	0.076
♀	35	0.16	0.21	0.32	0.50	0.62	0.340	0.121
♀	40	0.17	0.22	0.35	0.53	0.66	0.350	0.166
♀	45	0.18	0.23	0.38	0.58	0.71	0.352	0.211
♀	50	0.19	0.26	0.41	0.63	0.77	0.348	0.256
♀	55	0.22	0.29	0.46	0.69	0.84	0.339	0.302
♀	60	0.24	0.32	0.50	0.74	0.89	0.326	0.347
♀	65	0.26	0.34	0.53	0.77	0.92	0.311	0.392
♀	70	0.28	0.36	0.54	0.77	0.91	0.295	0.437
♀	75	0.29	0.37	0.55	0.76	0.89	0.279	0.482
♀	80	0.30	0.38	0.56	0.76	0.88	0.265	0.528
♀	81	0.30	0.38	0.56	0.76	0.88	0.262	0.537

FMRTL

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	0.49	0.59	0.83	1.12	1.29	0.246	0.351
♂	20	0.52	0.63	0.88	1.19	1.37	0.247	0.389
♂	25	0.58	0.71	1.01	1.36	1.56	0.249	0.485
♂	30	0.63	0.79	1.12	1.51	1.73	0.251	0.581
♂	35	0.67	0.85	1.23	1.64	1.88	0.252	0.674
♂	40	0.72	0.92	1.33	1.76	2.01	0.248	0.755
♂	45	0.78	0.99	1.42	1.86	2.10	0.239	0.819
♂	50	0.85	1.07	1.49	1.94	2.18	0.229	0.861
♂	55	0.91	1.13	1.57	2.03	2.27	0.222	0.876
♂	60	0.97	1.19	1.64	2.11	2.36	0.217	0.868
♂	65	1.01	1.24	1.70	2.18	2.44	0.215	0.842
♂	70	1.03	1.26	1.73	2.22	2.49	0.217	0.809
♂	75	1.02	1.26	1.74	2.25	2.54	0.223	0.775
♂	80	1.00	1.25	1.75	2.28	2.58	0.232	0.742
♂	81	1.00	1.24	1.75	2.29	2.59	0.234	0.736
♀	18	0.47	0.56	0.76	0.99	1.13	0.219	0.439
♀	20	0.47	0.57	0.77	1.01	1.15	0.225	0.432
♀	25	0.47	0.57	0.79	1.06	1.22	0.242	0.413
♀	30	0.46	0.57	0.81	1.11	1.29	0.260	0.395
♀	35	0.46	0.57	0.84	1.16	1.36	0.274	0.377
♀	40	0.48	0.60	0.87	1.22	1.44	0.279	0.358
♀	45	0.51	0.63	0.92	1.29	1.52	0.277	0.340
♀	50	0.55	0.68	0.99	1.37	1.61	0.271	0.321
♀	55	0.60	0.74	1.06	1.47	1.73	0.267	0.303
♀	60	0.65	0.79	1.13	1.57	1.84	0.265	0.284
♀	65	0.68	0.83	1.18	1.63	1.91	0.263	0.266
♀	70	0.70	0.85	1.20	1.64	1.93	0.258	0.248
♀	75	0.71	0.86	1.20	1.63	1.91	0.252	0.229
♀	80	0.72	0.86	1.19	1.61	1.88	0.245	0.211
♀	81	0.72	0.86	1.19	1.61	1.87	0.243	0.207

VAT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	2.93	21.71	166.15	546.57	878.23	1.163	0.352
♂	20	5.03	32.14	217.33	674.42	1061.32	1.099	0.362
♂	25	15.06	68.58	349.68	950.61	1427.20	0.955	0.385
♂	30	34.70	122.95	505.96	1237.79	1788.33	0.844	0.408
♂	35	61.47	189.28	683.48	1558.14	2191.30	0.773	0.431
♂	40	97.33	270.12	880.83	1895.09	2605.45	0.716	0.455
♂	45	147.57	369.06	1089.08	2216.99	2983.62	0.661	0.478
♂	50	207.87	477.36	1294.94	2513.09	3319.71	0.614	0.501
♂	55	266.58	580.54	1486.37	2783.33	3623.66	0.580	0.525
♂	60	338.97	690.63	1653.05	2977.37	3817.54	0.542	0.548
♂	65	425.37	806.36	1796.33	3106.76	3921.36	0.502	0.571
♂	70	511.81	915.47	1920.72	3208.02	3994.15	0.468	0.594
♂	75	563.43	992.36	2035.71	3343.00	4131.17	0.453	0.618
♂	80	579.15	1040.43	2152.93	3529.65	4352.63	0.454	0.641
♂	81	579.90	1048.33	2176.87	3570.19	4401.70	0.455	0.646
♀	18	6.82	25.04	137.65	458.51	770.20	1.090	0.242
♀	20	7.26	26.77	146.05	480.44	801.59	1.081	0.248
♀	25	8.56	31.58	167.86	535.33	879.25	1.057	0.261
♀	30	10.74	39.40	203.31	628.38	1016.28	1.032	0.274
♀	35	14.33	51.54	255.30	761.60	1211.65	1.002	0.287
♀	40	20.49	69.81	322.89	919.03	1433.16	0.959	0.300
♀	45	32.18	98.54	407.58	1085.88	1649.63	0.895	0.313
♀	50	52.39	141.36	513.01	1267.09	1868.88	0.821	0.327
♀	55	83.74	200.84	644.23	1481.27	2124.85	0.751	0.340
♀	60	122.55	268.31	778.71	1686.04	2361.84	0.693	0.353
♀	65	162.91	333.43	895.60	1847.57	2538.11	0.647	0.366
♀	70	202.47	391.72	984.54	1946.72	2628.52	0.607	0.379
♀	75	237.28	441.52	1057.26	2023.87	2695.95	0.577	0.392
♀	80	269.26	486.99	1123.21	2093.95	2757.73	0.553	0.406
♀	81	276.42	496.56	1135.92	2106.39	2768.04	0.548	0.408

LMILOWFMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	12.43	13.59	15.89	18.35	19.71	0.117	0.576
♂	20	12.85	13.95	16.20	18.68	20.10	0.114	0.303
♂	25	13.76	14.74	16.88	19.45	21.02	0.108	-0.340
♂	30	14.28	15.17	17.18	19.78	21.49	0.103	-0.930
♂	35	14.37	15.22	17.12	19.59	21.21	0.098	-1.035
♂	40	14.26	15.15	17.04	19.28	20.62	0.094	-0.354
♂	45	14.23	15.17	17.08	19.16	20.33	0.091	0.269
♂	50	14.31	15.25	17.13	19.16	20.29	0.089	0.348
♂	55	14.48	15.40	17.24	19.25	20.38	0.087	0.241
♂	60	14.41	15.39	17.26	19.15	20.16	0.085	0.886
♂	65	14.27	15.29	17.16	18.95	19.87	0.083	1.390
♂	70	14.22	15.17	16.95	18.69	19.61	0.081	1.151
♂	75	14.17	15.10	16.84	18.56	19.45	0.080	1.161
♂	80	14.18	15.14	16.87	18.52	19.36	0.078	1.508
♂	81	14.17	15.14	16.88	18.53	19.36	0.078	1.578
♀	18	10.92	11.58	13.00	14.70	15.74	0.093	-0.477
♀	20	11.02	11.69	13.12	14.80	15.82	0.092	-0.413
♀	25	11.24	11.93	13.38	15.07	16.06	0.091	-0.247
♀	30	11.44	12.15	13.61	15.26	16.21	0.089	-0.049
♀	35	11.59	12.32	13.80	15.44	16.36	0.088	0.169
♀	40	11.72	12.46	13.95	15.54	16.42	0.086	0.389
♀	45	11.74	12.51	14.00	15.55	16.41	0.085	0.592
♀	50	11.73	12.49	13.97	15.50	16.33	0.084	0.715
♀	55	11.70	12.46	13.92	15.42	16.23	0.083	0.734
♀	60	11.73	12.46	13.87	15.33	16.13	0.081	0.656
♀	65	11.78	12.48	13.86	15.32	16.12	0.080	0.489
♀	70	11.87	12.54	13.90	15.36	16.18	0.079	0.259
♀	75	11.98	12.63	13.96	15.43	16.27	0.078	0.011
♀	80	12.13	12.75	14.04	15.50	16.34	0.076	-0.233
♀	81	12.15	12.77	14.06	15.52	16.37	0.076	-0.282

LMINORMFMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	13.93	14.85	16.85	19.25	20.72	0.101	-0.430
♂	20	14.00	14.93	16.92	19.29	20.74	0.100	-0.382
♂	25	14.17	15.11	17.09	19.42	20.82	0.098	-0.263
♂	30	14.34	15.28	17.27	19.55	20.89	0.096	-0.143
♂	35	14.51	15.46	17.44	19.67	20.97	0.094	-0.023
♂	40	14.70	15.65	17.60	19.77	21.01	0.091	0.096
♂	45	14.85	15.81	17.74	19.86	21.06	0.089	0.216
♂	50	14.99	15.95	17.86	19.93	21.09	0.087	0.336
♂	55	15.13	16.08	17.95	19.94	21.04	0.084	0.455
♂	60	15.23	16.16	17.98	19.89	20.93	0.081	0.575
♂	65	15.27	16.18	17.95	19.77	20.76	0.078	0.695
♂	70	15.28	16.16	17.86	19.60	20.52	0.075	0.814
♂	75	15.29	16.14	17.75	19.37	20.23	0.071	0.934
♂	80	15.27	16.09	17.63	19.16	19.97	0.068	1.054
♂	81	15.28	16.09	17.61	19.11	19.91	0.067	1.078
♀	18	11.41	12.04	13.40	15.02	16.01	0.086	-0.631
♀	20	11.51	12.14	13.49	15.10	16.08	0.085	-0.602
♀	25	11.70	12.35	13.73	15.36	16.34	0.085	-0.529
♀	30	11.89	12.55	13.94	15.56	16.54	0.084	-0.456
♀	35	12.04	12.71	14.13	15.77	16.75	0.084	-0.383
♀	40	12.19	12.87	14.29	15.92	16.89	0.083	-0.310
♀	45	12.29	12.98	14.41	16.05	17.02	0.083	-0.237
♀	50	12.38	13.07	14.51	16.13	17.07	0.082	-0.164
♀	55	12.43	13.14	14.59	16.21	17.15	0.082	-0.091
♀	60	12.53	13.23	14.68	16.28	17.21	0.081	-0.018
♀	65	12.61	13.32	14.79	16.40	17.32	0.081	0.055
♀	70	12.72	13.44	14.90	16.50	17.41	0.080	0.128
♀	75	12.81	13.54	15.02	16.63	17.53	0.080	0.201
♀	80	12.93	13.66	15.14	16.73	17.62	0.079	0.274
♀	81	12.94	13.68	15.17	16.76	17.65	0.079	0.289

LMIHIGHFMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	14.04	15.15	17.56	20.45	22.22	0.117	-0.219
♂	20	14.31	15.39	17.70	20.46	22.12	0.111	-0.223
♂	25	14.91	15.92	18.06	20.57	22.08	0.100	-0.231
♂	30	15.31	16.31	18.43	20.91	22.39	0.097	-0.239
♂	35	15.54	16.58	18.79	21.37	22.92	0.099	-0.247
♂	40	15.86	16.90	19.10	21.67	23.21	0.097	-0.255
♂	45	16.28	17.26	19.34	21.74	23.17	0.090	-0.263
♂	50	16.52	17.48	19.48	21.79	23.15	0.086	-0.271
♂	55	16.57	17.52	19.50	21.79	23.13	0.085	-0.279
♂	60	16.43	17.39	19.41	21.74	23.12	0.087	-0.287
♂	65	16.18	17.16	19.22	21.61	23.03	0.090	-0.295
♂	70	15.96	16.93	18.96	21.32	22.72	0.090	-0.303
♂	75	15.78	16.71	18.67	20.94	22.29	0.088	-0.311
♂	80	15.63	16.51	18.38	20.53	21.81	0.085	-0.319
♂	81	15.61	16.48	18.32	20.44	21.70	0.084	-0.321
♀	18	12.57	13.24	14.76	16.79	18.17	0.092	-1.376
♀	20	12.60	13.29	14.88	17.00	18.44	0.095	-1.348
♀	25	12.72	13.46	15.17	17.48	19.06	0.101	-1.280
♀	30	12.89	13.67	15.47	17.89	19.55	0.104	-1.211
♀	35	13.09	13.90	15.77	18.28	19.99	0.106	-1.143
♀	40	13.31	14.14	16.05	18.59	20.30	0.106	-1.074
♀	45	13.62	14.44	16.29	18.68	20.26	0.100	-1.006
♀	50	13.99	14.76	16.47	18.61	19.97	0.090	-0.937
♀	55	14.22	14.96	16.58	18.57	19.80	0.084	-0.869
♀	60	14.22	14.98	16.62	18.63	19.88	0.085	-0.800
♀	65	14.11	14.90	16.62	18.73	20.03	0.089	-0.732
♀	70	13.99	14.81	16.59	18.76	20.10	0.092	-0.663
♀	75	13.95	14.77	16.53	18.65	19.96	0.091	-0.594
♀	80	13.92	14.72	16.45	18.50	19.75	0.089	-0.526
♀	81	13.93	14.73	16.43	18.46	19.69	0.088	-0.512

LMINW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	14.05	14.88	16.55	18.36	19.38	0.082	0.245
♂	20	14.09	14.91	16.57	18.35	19.36	0.081	0.267
♂	30	14.21	15.02	16.63	18.35	19.30	0.078	0.374
♂	40	14.29	15.07	16.60	18.22	19.10	0.074	0.480
♂	50	14.27	15.03	16.50	18.03	18.87	0.071	0.587
♂	60	14.25	14.98	16.39	17.84	18.62	0.068	0.694
♂	70	14.21	14.91	16.25	17.62	18.35	0.065	0.801
♂	80	14.18	14.86	16.13	17.42	18.10	0.062	0.907
♀	18	11.69	12.27	13.49	14.88	15.69	0.075	-0.376
♀	20	11.75	12.34	13.56	14.95	15.76	0.075	-0.317
♀	30	12.02	12.63	13.87	15.23	16.00	0.073	-0.024
♀	40	12.17	12.80	14.05	15.39	16.14	0.072	0.269
♀	50	12.14	12.78	14.01	15.29	15.99	0.070	0.561
♀	60	12.02	12.66	13.87	15.11	15.77	0.069	0.854
♀	70	11.96	12.61	13.83	15.02	15.65	0.068	1.147
♀	80	11.98	12.64	13.85	15.02	15.62	0.067	1.440

LMIOW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	16.05	16.79	18.43	20.53	21.91	0.078	-1.458
♂	20	16.04	16.77	18.40	20.45	21.78	0.077	-1.358
♂	30	15.98	16.71	18.26	20.10	21.22	0.072	-0.854
♂	40	15.95	16.68	18.17	19.85	20.83	0.068	-0.350
♂	50	15.98	16.70	18.13	19.67	20.53	0.064	0.154
♂	60	15.95	16.66	18.03	19.43	20.19	0.060	0.658
♂	70	15.77	16.47	17.78	19.07	19.75	0.057	1.162
♂	80	15.62	16.29	17.51	18.67	19.27	0.053	1.666
♀	18	13.60	14.06	15.14	16.62	17.66	0.064	-2.745
♀	20	13.60	14.08	15.16	16.63	17.65	0.064	-2.622
♀	30	13.69	14.18	15.28	16.69	17.61	0.063	-2.004
♀	40	13.77	14.29	15.43	16.81	17.66	0.063	-1.386
♀	50	13.66	14.21	15.34	16.65	17.43	0.062	-0.768
♀	60	13.40	13.97	15.11	16.37	17.08	0.062	-0.150
♀	70	13.31	13.90	15.05	16.25	16.91	0.061	0.468
♀	80	13.23	13.85	15.03	16.20	16.82	0.061	1.085

LMIADI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	16.89	17.97	19.99	21.97	23.01	0.078	1.162
♂	20	16.98	18.02	20.01	22.02	23.09	0.078	0.881
♂	30	17.43	18.30	20.13	22.24	23.49	0.076	-0.456
♂	40	17.68	18.47	20.20	22.34	23.71	0.074	-1.266
♂	50	17.68	18.42	20.08	22.18	23.56	0.072	-1.598
♂	60	17.51	18.23	19.83	21.84	23.15	0.070	-1.599
♂	70	17.10	17.81	19.35	21.22	22.37	0.068	-1.163
♂	80	16.50	17.22	18.74	20.45	21.46	0.067	-0.500
♀	18	15.13	15.72	17.05	18.74	19.86	0.068	-1.812
♀	20	15.11	15.72	17.08	18.84	20.00	0.070	-1.809
♀	30	14.97	15.66	17.26	19.43	20.92	0.083	-1.794
♀	40	15.02	15.73	17.35	19.56	21.09	0.084	-1.779
♀	50	15.11	15.76	17.22	19.13	20.41	0.075	-1.764
♀	60	14.93	15.55	16.96	18.78	19.99	0.073	-1.749
♀	70	14.64	15.28	16.74	18.66	19.94	0.077	-1.734
♀	80	14.50	15.12	16.52	18.36	19.58	0.075	-1.720

ALMINW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	6.58	7.02	7.97	9.14	9.86	0.103	-0.495
♂	20	6.58	7.02	7.97	9.11	9.82	0.102	-0.430
♂	30	6.54	6.98	7.92	9.00	9.64	0.099	-0.106
♂	40	6.46	6.91	7.81	8.81	9.38	0.095	0.219
♂	50	6.34	6.78	7.66	8.59	9.10	0.092	0.543
♂	60	6.18	6.62	7.46	8.32	8.78	0.089	0.868
♂	70	6.01	6.44	7.25	8.04	8.45	0.086	1.193
♂	80	5.85	6.28	7.05	7.78	8.15	0.083	1.517
♀	18	5.03	5.36	6.10	7.04	7.65	0.106	-0.755
♀	20	5.05	5.39	6.13	7.08	7.68	0.106	-0.714
♀	30	5.14	5.49	6.24	7.16	7.74	0.104	-0.510
♀	40	5.12	5.47	6.22	7.11	7.64	0.102	-0.305
♀	50	5.03	5.38	6.11	6.95	7.44	0.100	-0.101
♀	60	4.92	5.26	5.97	6.77	7.23	0.098	0.103
♀	70	4.86	5.21	5.91	6.68	7.11	0.097	0.308
♀	80	4.85	5.20	5.90	6.64	7.05	0.095	0.512

ALMIOW

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	7.55	7.97	8.96	10.40	11.47	0.102	-1.765
♂	20	7.51	7.93	8.93	10.31	11.29	0.101	-1.489
♂	30	7.24	7.73	8.75	9.89	10.54	0.096	0.069
♂	40	7.09	7.59	8.58	9.62	10.18	0.092	0.636
♂	50	7.11	7.54	8.43	9.43	10.01	0.087	-0.073
♂	60	6.95	7.38	8.23	9.13	9.63	0.083	0.450
♂	70	6.67	7.15	7.99	8.77	9.16	0.079	1.676
♂	80	6.55	6.98	7.75	8.49	8.87	0.076	1.468
♀	18	6.06	6.34	7.00	7.96	8.66	0.087	-2.164
♀	20	6.05	6.33	7.00	7.95	8.64	0.087	-2.097
♀	30	6.01	6.30	6.97	7.90	8.54	0.087	-1.763
♀	40	5.96	6.26	6.95	7.84	8.45	0.087	-1.429
♀	50	5.87	6.17	6.85	7.70	8.25	0.086	-1.095
♀	60	5.71	6.02	6.70	7.51	8.02	0.086	-0.762
♀	70	5.59	5.91	6.58	7.36	7.83	0.086	-0.428
♀	80	5.49	5.81	6.49	7.25	7.69	0.086	-0.094

ALMIADI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	18	7.94	8.56	9.72	10.90	11.52	0.094	0.939
♂	20	7.97	8.57	9.72	10.91	11.55	0.094	0.717
♂	30	8.12	8.62	9.69	10.94	11.69	0.093	-0.329
♂	40	8.14	8.60	9.62	10.90	11.71	0.092	-0.888
♂	50	8.00	8.46	9.45	10.68	11.46	0.091	-0.828
♂	60	7.73	8.19	9.18	10.35	11.05	0.091	-0.403
♂	70	7.37	7.84	8.81	9.88	10.48	0.090	0.175
♂	80	6.95	7.44	8.39	9.35	9.87	0.089	0.811
♀	18	6.28	6.93	8.02	8.97	9.43	0.098	2.086
♀	20	6.41	6.99	8.03	9.01	9.51	0.098	1.433
♀	30	6.75	7.15	8.06	9.23	10.00	0.099	-1.014
♀	40	6.74	7.13	8.03	9.21	10.00	0.099	-1.182
♀	50	6.56	6.96	7.86	8.98	9.70	0.099	-0.789
♀	60	6.32	6.74	7.64	8.69	9.31	0.099	-0.241
♀	70	6.32	6.67	7.48	8.62	9.45	0.099	-1.648
♀	80	6.11	6.49	7.34	8.37	9.01	0.099	-0.564

portug.ref

Citations

• Chaves, R., Baxter-Jones, A., Souza, M., Santos, D. & Maia, J. Height, weight, body composition, and waist circumference references for 7-to 17-year-old children from rural Portugal. HOMO-Journal of Comparative Human Biology 66, 264–277 (2015).

HEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	1.09	1.14	1.24	1.33	1.38	1.51	0.06
♀	8	1.15	1.20	1.28	1.36	1.40	1.48	0.05
♀	9	1.19	1.23	1.32	1.40	1.45	1.44	0.05
♀	10	1.24	1.29	1.38	1.47	1.51	1.40	0.05
♀	11	1.30	1.35	1.44	1.53	1.58	1.37	0.05
♀	12	1.36	1.41	1.51	1.61	1.66	1.33	0.05
♀	13	1.40	1.46	1.56	1.66	1.71	1.29	0.05
♀	14	1.44	1.50	1.60	1.70	1.75	1.26	0.05
♀	15	1.46	1.52	1.62	1.72	1.78	1.22	0.05
♀	16	1.48	1.53	1.64	1.74	1.80	1.18	0.05
♀	17	1.53	1.57	1.66	1.74	1.79	1.15	0.04
♂	7	1.14	1.17	1.25	1.33	1.38	-0.68	0.05
♂	8	1.17	1.21	1.29	1.38	1.42	-0.20	0.05
♂	9	1.20	1.25	1.33	1.42	1.47	0.28	0.05
♂	10	1.25	1.29	1.38	1.47	1.52	0.76	0.05
♂	11	1.30	1.35	1.44	1.53	1.58	1.24	0.05
♂	12	1.35	1.40	1.50	1.59	1.64	1.73	0.05
♂	13	1.41	1.47	1.57	1.67	1.72	2.21	0.05
♂	14	1.45	1.51	1.62	1.72	1.77	2.69	0.05
♂	15	1.49	1.55	1.67	1.77	1.82	3.17	0.05
♂	16	1.51	1.58	1.70	1.80	1.85	3.65	0.05
♂	17	1.56	1.62	1.72	1.80	1.84	4.13	0.04

WEIGHT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	18.56	20.89	26.62	34.97	41.01	-0.46	0.20
♀	8	19.74	22.33	28.79	38.36	45.39	-0.45	0.21
♀	9	21.52	24.36	31.42	41.84	49.48	-0.44	0.21
♀	10	23.80	26.95	34.76	46.27	54.68	-0.43	0.21
♀	11	26.70	30.25	39.03	51.93	61.33	-0.42	0.21
♀	12	30.65	34.55	44.08	57.79	67.58	-0.41	0.20
♀	13	34.85	39.09	49.32	63.72	73.82	-0.40	0.19
♀	14	38.55	43.02	53.65	68.32	78.42	-0.39	0.18
♀	15	41.53	46.10	56.83	71.34	81.15	-0.38	0.17
♀	16	44.84	49.23	59.28	72.36	80.92	-0.37	0.15
♀	17	47.31	51.65	61.46	73.98	82.05	-0.36	0.14
♂	7	19.78	21.71	26.68	34.77	41.55	-1.07	0.18
♂	8	20.78	22.97	28.61	37.71	45.19	-0.93	0.19
♂	9	22.33	24.88	31.42	41.84	50.23	-0.79	0.20
♂	10	24.19	27.18	34.83	46.82	56.23	-0.65	0.21
♂	11	26.85	30.31	39.01	52.11	61.92	-0.51	0.21
♂	12	29.96	34.00	43.95	58.35	68.69	-0.37	0.21
♂	13	33.23	37.92	49.24	65.01	75.88	-0.23	0.21
♂	14	36.97	42.19	54.38	70.45	80.99	-0.08	0.20
♂	15	39.73	45.63	59.08	76.19	87.04	0.06	0.20
♂	16	42.74	49.04	62.94	79.83	90.14	0.20	0.19
♂	17	45.48	52.09	66.23	82.70	92.42	0.34	0.18

BMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	13.84	14.82	17.22	20.80	23.56	-1.37	0.13
♀	8	13.89	14.94	17.55	21.54	24.69	-1.33	0.14
♀	9	14.20	15.29	17.96	22.03	25.22	-1.30	0.14
♀	10	14.27	15.43	18.33	22.84	26.46	-1.26	0.15
♀	11	14.59	15.78	18.75	23.35	27.01	-1.23	0.15
♀	12	15.06	16.30	19.38	24.11	27.83	-1.19	0.15
♀	13	15.70	17.00	20.22	25.13	28.97	-1.16	0.15
♀	14	16.26	17.62	20.97	26.04	29.95	-1.12	0.15
♀	15	16.97	18.31	21.57	26.34	29.88	-1.09	0.14
♀	16	17.34	18.72	22.07	26.92	30.50	-1.05	0.14
♀	17	17.92	19.27	22.47	26.97	30.18	-1.02	0.13
♂	7	14.45	15.12	16.85	19.82	22.68	-3.06	0.10
♂	8	14.45	15.20	17.13	20.45	23.63	-2.70	0.11
♂	9	14.36	15.23	17.53	21.64	25.78	-2.35	0.13
♂	10	14.50	15.47	18.03	22.54	26.92	-2.04	0.14
♂	11	14.88	15.92	18.60	23.09	27.10	-1.78	0.14
♂	12	15.10	16.25	19.23	24.17	28.50	-1.56	0.15
♂	13	15.57	16.80	19.91	24.92	29.13	-1.42	0.15
♂	14	16.06	17.34	20.58	25.70	29.91	-1.34	0.15
♂	15	16.56	17.89	21.23	26.51	30.82	-1.33	0.15
♂	16	16.99	18.35	21.77	27.19	31.63	-1.34	0.15
♂	17	17.63	18.95	22.25	27.34	31.39	-1.37	0.14

WC

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	0.49	0.52	0.58	0.67	0.73	-1.46	0.10
♀	8	0.50	0.53	0.60	0.70	0.78	-1.57	0.11
♀	9	0.51	0.54	0.61	0.72	0.80	-1.69	0.11
♀	10	0.53	0.56	0.63	0.74	0.83	-1.81	0.11
♀	11	0.53	0.56	0.64	0.75	0.85	-1.92	0.11
♀	12	0.56	0.59	0.66	0.77	0.85	-2.04	0.10
♀	13	0.57	0.60	0.67	0.78	0.86	-2.15	0.10
♀	14	0.58	0.61	0.68	0.79	0.88	-2.27	0.10
♀	15	0.60	0.62	0.69	0.79	0.87	-2.38	0.09
♀	16	0.60	0.63	0.70	0.80	0.88	-2.50	0.09
♀	17	0.61	0.64	0.71	0.81	0.90	-2.62	0.09
♂	7	0.51	0.53	0.57	0.64	0.70	-4.36	0.07
♂	8	0.52	0.54	0.59	0.67	0.76	-4.10	0.08
♂	9	0.53	0.55	0.61	0.71	0.81	-3.85	0.09
♂	10	0.54	0.57	0.63	0.75	0.87	-3.59	0.10
♂	11	0.56	0.58	0.65	0.77	0.89	-3.33	0.10
♂	12	0.56	0.59	0.66	0.79	0.93	-3.08	0.11
♂	13	0.57	0.60	0.68	0.81	0.95	-2.82	0.11
♂	14	0.59	0.62	0.70	0.83	0.96	-2.56	0.11
♂	15	0.60	0.64	0.72	0.85	0.97	-2.31	0.11
♂	16	0.62	0.65	0.74	0.87	0.98	-2.05	0.11
♂	17	0.63	0.67	0.76	0.89	1.00	-1.79	0.11

BODYFAT

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	7	17.14	19.23	24.10	30.52	34.75	-0.20	0.18
♀	8	17.51	19.58	24.46	31.08	35.57	-0.32	0.18
♀	9	17.83	19.87	24.77	31.57	36.29	-0.42	0.18
♀	10	17.69	19.79	24.92	32.29	37.56	-0.48	0.19
♀	11	17.71	19.82	24.96	32.33	37.59	-0.47	0.19
♀	12	17.73	19.89	25.10	32.42	37.53	-0.39	0.19
♀	13	17.92	20.20	25.59	32.90	37.83	-0.25	0.19
♀	14	18.24	20.68	26.32	33.66	38.41	-0.08	0.19
♀	15	18.47	21.12	27.04	34.37	38.92	0.12	0.19
♀	16	18.17	21.18	27.72	35.42	40.00	0.36	0.20
♀	17	18.14	21.48	28.39	36.02	40.35	0.61	0.20
♂	7	15.97	17.04	19.85	24.82	29.67	-2.05	0.14
♂	8	15.49	16.71	20.07	26.51	33.56	-1.86	0.17
♂	9	15.18	16.54	20.29	27.68	36.01	-1.66	0.19
♂	10	14.75	16.22	20.34	28.64	38.15	-1.48	0.21
♂	11	14.00	15.55	19.96	28.92	39.19	-1.30	0.23
♂	12	13.03	14.63	19.22	28.65	39.42	-1.15	0.25
♂	13	12.16	13.76	18.33	27.54	37.60	-1.02	0.26
♂	14	11.54	13.10	17.51	26.09	34.93	-0.93	0.26
♂	15	11.11	12.65	16.96	25.12	33.16	-0.86	0.26
♂	16	10.89	12.44	16.73	24.61	32.03	-0.78	0.26
♂	17	10.93	12.48	16.66	23.95	30.36	-0.70	0.25

ripka_bf.ref

Citations

• Ripka, W.L. et al. (2020) ‘Lean mass reference curves in adolescents using dual-energy x-ray absorptiometry (DXA)’, PLOS ONE, 15(2), p. e0228646. doi:10.1371/journal.pone.0228646.

ALM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	12	9.92	11.05	13.55	16.65	18.58	0.16	-0.04
♀	13	10.26	11.48	14.35	18.23	20.84	0.18	-0.30
♀	14	9.98	11.20	14.13	18.25	21.13	0.19	-0.39
♀	15	10.28	11.57	14.63	18.85	21.73	0.19	-0.31
♀	16	10.65	12.02	15.12	19.06	21.57	0.18	-0.04
♀	17	10.75	12.34	15.58	19.12	21.12	0.17	0.59
♂	12	9.08	10.25	13.18	17.62	20.97	0.21	-0.53
♂	13	11.21	12.90	16.72	21.54	24.56	0.20	0.10
♂	14	13.43	15.60	20.02	24.83	27.53	0.18	0.63
♂	15	14.49	16.75	21.05	25.38	27.69	0.16	0.96
♂	16	15.95	18.20	22.28	26.20	28.23	0.14	1.22
♂	17	16.70	18.94	22.90	26.60	28.47	0.13	1.41

LMI

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	12	10.88	11.74	13.64	15.98	17.43	0.12	-0.35
♀	13	11.10	11.91	13.76	16.22	17.88	0.12	-0.83
♀	14	11.43	12.34	14.43	17.25	19.16	0.13	-0.77
♀	15	10.62	11.53	13.56	16.09	17.69	0.13	-0.33
♀	16	11.38	12.34	14.40	16.79	18.21	0.12	0.02
♀	17	12.01	13.05	15.24	17.75	19.22	0.12	0.12
♂	12	10.42	11.41	13.51	15.93	17.35	0.13	0.15
♂	13	10.85	11.97	14.24	16.71	18.10	0.13	0.49
♂	14	12.25	13.51	15.93	18.41	19.74	0.12	0.86
♂	15	12.73	13.95	16.24	18.52	19.73	0.11	1.03
♂	16	13.01	14.15	16.27	18.33	19.40	0.10	1.21
♂	17	13.88	15.17	17.49	19.67	20.78	0.10	1.47

FM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	12	8.21	10.43	16.24	24.95	31.15	0.34	0.07
♀	13	9.17	11.35	16.93	25.13	30.91	0.31	0.03
♀	14	9.73	12.02	17.90	26.61	32.80	0.31	0.01
♀	15	8.72	10.86	16.26	24.04	29.43	0.31	0.08
♀	16	11.31	14.11	21.16	31.24	38.17	0.31	0.10
♀	17	11.26	13.82	20.48	30.59	37.96	0.31	-0.05
♂	12	6.21	7.42	11.24	20.55	33.09	0.38	-0.74
♂	13	6.97	8.06	11.45	19.82	32.03	0.33	-1.01
♂	14	7.33	8.29	11.16	17.81	26.94	0.28	-1.21
♂	15	7.31	8.18	10.70	16.13	22.90	0.25	-1.28
♂	16	7.28	8.14	10.64	16.07	22.93	0.25	-1.30
♂	17	8.08	9.01	11.76	17.83	25.70	0.25	-1.34

LM

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	12	23.35	26.46	32.86	39.94	43.95	0.16	0.51
♀	13	25.90	28.38	34.12	41.73	46.79	0.15	-0.46
♀	14	27.62	29.78	35.05	42.86	48.77	0.14	-1.16
♀	15	27.96	30.15	35.49	43.39	49.35	0.14	-1.15
♀	16	28.31	30.72	36.36	44.07	49.39	0.14	-0.73
♀	17	29.42	32.29	38.58	46.23	50.94	0.14	-0.09
♂	12	21.56	24.48	31.42	40.89	47.30	0.20	-0.21
♂	13	25.76	29.81	38.49	48.58	54.53	0.19	0.38
♂	14	30.29	35.11	44.59	54.52	59.94	0.17	0.79
♂	15	34.30	38.64	46.98	55.49	60.05	0.14	0.89
♂	16	36.97	41.12	49.18	57.50	62.00	0.13	0.81
♂	17	40.75	44.65	52.44	60.78	65.41	0.12	0.56

schafmeyer_leg.ref

Citations

• Schafmeyer L, Linden T, Sill H, Rehberg M, Schoenau E, Duran I. Pediatric Reference Centiles of Bone Mineral Density and Body Composition of Lower Limbs. Journal of Clinical Densitometry. 2022 Jan;25(1):73–80.

BMCBLACK

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	130.84	142.69	172.33	217.97	253.82	0.1627	-1.0381
♂	9	149.09	164.47	202.33	258.22	299.72	0.1744	-0.7266
♂	10	166.60	186.45	234.31	301.75	349.10	0.1872	-0.4232
♂	11	185.04	210.77	271.19	351.92	405.45	0.1999	-0.1296
♂	12	207.74	241.25	317.32	413.08	473.11	0.2097	0.1429
♂	13	236.09	278.92	372.50	483.70	550.12	0.2140	0.3710
♂	14	269.25	321.03	430.29	554.24	625.72	0.2115	0.5354
♂	15	304.52	362.76	482.66	614.71	689.27	0.2039	0.6316
♂	16	338.29	399.52	524.11	659.54	735.34	0.1938	0.6655
♂	17	366.97	428.63	553.90	689.97	766.13	0.1843	0.6508
♂	18	389.55	450.51	574.98	711.13	787.76	0.1770	0.6053
♂	19	408.81	468.68	591.93	728.21	805.55	0.1711	0.5420
♂	20	427.16	485.89	607.72	743.89	821.82	0.1656	0.4761
♀	8	111.42	133.41	178.70	228.57	256.71	0.2080	0.6400
♀	9	140.86	166.62	220.40	280.67	315.13	0.2020	0.5610
♀	10	171.07	200.21	261.70	331.70	372.21	0.1960	0.4850
♀	11	201.06	233.09	301.30	379.96	425.98	0.1900	0.4150
♀	12	229.77	263.97	337.20	422.41	472.64	0.1830	0.3540
♀	13	254.57	290.46	367.50	457.55	510.87	0.1770	0.3120
♀	14	274.66	311.70	391.00	483.46	538.14	0.1710	0.2990
♀	15	289.33	327.30	408.00	501.21	555.95	0.1660	0.3220
♀	16	299.71	338.28	419.30	511.50	565.02	0.1610	0.3740
♀	17	306.21	345.24	426.20	516.82	568.78	0.1570	0.4400
♀	18	310.65	349.84	430.10	518.50	568.58	0.1530	0.5080
♀	19	313.27	352.63	432.30	518.77	567.22	0.1500	0.5750
♀	20	316.28	355.48	433.90	517.76	564.26	0.1460	0.6420

FATBLACK

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	0.79	1.10	2.03	3.72	5.10	0.4750	0.0215
♀	9	0.98	1.34	2.45	4.46	6.13	0.4677	-0.0027
♀	10	1.17	1.59	2.86	5.18	7.12	0.4604	-0.0279
♀	11	1.36	1.83	3.24	5.84	8.05	0.4527	-0.0544
♀	12	1.55	2.06	3.59	6.44	8.86	0.4445	-0.0809
♀	13	1.72	2.27	3.91	6.95	9.57	0.4363	-0.1052
♀	14	1.88	2.46	4.19	7.40	10.18	0.4287	-0.1253
♀	15	2.02	2.63	4.43	7.78	10.69	0.4226	-0.1401
♀	16	2.14	2.77	4.64	8.11	11.12	0.4182	-0.1502
♀	17	2.24	2.89	4.81	8.39	11.49	0.4152	-0.1574
♀	18	2.32	2.99	4.96	8.63	11.82	0.4129	-0.1638
♀	19	2.40	3.08	5.10	8.85	12.11	0.4106	-0.1692
♀	20	2.47	3.17	5.23	9.06	12.39	0.4084	-0.1743
♂	8	0.58	0.78	1.43	2.88	4.40	0.5067	-0.2270
♂	9	0.67	0.91	1.68	3.48	5.43	0.5210	-0.2392
♂	10	0.76	1.03	1.94	4.11	6.54	0.5346	-0.2523
♂	11	0.85	1.15	2.18	4.73	7.70	0.5450	-0.2693
♂	12	0.95	1.27	2.41	5.31	8.82	0.5499	-0.2957
♂	13	1.04	1.38	2.60	5.79	9.84	0.5491	-0.3327
♂	14	1.11	1.47	2.73	6.12	10.64	0.5438	-0.3756
♂	15	1.16	1.52	2.78	6.24	11.08	0.5358	-0.4183
♂	16	1.19	1.54	2.77	6.19	11.17	0.5257	-0.4592
♂	17	1.20	1.54	2.72	6.04	10.99	0.5135	-0.4987
♂	18	1.21	1.53	2.66	5.82	10.63	0.4990	-0.5374
♂	19	1.22	1.53	2.60	5.58	10.18	0.4829	-0.5770
♂	20	1.23	1.53	2.54	5.35	9.72	0.4667	-0.6176

FATWHITE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	0.75	0.93	1.49	2.73	4.07	0.4104	-0.4562
♂	9	0.88	1.09	1.78	3.29	4.93	0.4226	-0.4194
♂	10	0.99	1.25	2.07	3.87	5.81	0.4351	-0.3829
♂	11	1.09	1.39	2.35	4.45	6.69	0.4478	-0.3486
♂	12	1.18	1.51	2.59	4.98	7.51	0.4595	-0.3210
♂	13	1.24	1.61	2.79	5.42	8.19	0.4683	-0.3024
♂	14	1.29	1.68	2.94	5.73	8.65	0.4732	-0.2887
♂	15	1.32	1.72	3.02	5.88	8.85	0.4747	-0.2744
♂	16	1.34	1.75	3.07	5.93	8.85	0.4731	-0.2557
♂	17	1.35	1.77	3.11	5.95	8.77	0.4697	-0.2331
♂	18	1.37	1.80	3.15	5.96	8.67	0.4650	-0.2105
♂	19	1.40	1.84	3.20	5.98	8.61	0.4591	-0.1918
♂	20	1.43	1.88	3.27	6.02	8.57	0.4528	-0.1758
♀	8	0.92	1.15	1.87	3.45	5.13	0.4217	-0.4049
♀	9	1.09	1.37	2.24	4.02	5.76	0.4150	-0.3206
♀	10	1.25	1.59	2.60	4.56	6.34	0.4084	-0.2434
♀	11	1.41	1.79	2.93	5.02	6.84	0.4006	-0.1857
♀	12	1.56	1.99	3.22	5.43	7.28	0.3913	-0.1515
♀	13	1.73	2.19	3.51	5.81	7.71	0.3801	-0.1407
♀	14	1.89	2.38	3.75	6.10	8.02	0.3667	-0.1465
♀	15	2.06	2.56	3.96	6.34	8.26	0.3535	-0.1637
♀	16	2.22	2.74	4.18	6.61	8.56	0.3430	-0.1855
♀	17	2.35	2.88	4.37	6.89	8.92	0.3388	-0.2039
♀	18	2.44	3.00	4.57	7.24	9.43	0.3423	-0.2147
♀	19	2.53	3.13	4.79	7.67	10.06	0.3490	-0.2217
♀	20	2.65	3.28	5.05	8.16	10.78	0.3550	-0.2286

FATMEXICAN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	8	0.73	1.00	1.84	3.53	5.08	0.4916	-0.1033
♂	9	0.84	1.14	2.09	4.04	5.84	0.4935	-0.1148
♂	10	0.94	1.27	2.34	4.54	6.60	0.4951	-0.1269
♂	11	1.03	1.40	2.57	5.01	7.32	0.4958	-0.1405
♂	12	1.12	1.51	2.77	5.41	7.94	0.4954	-0.1550
♂	13	1.20	1.61	2.94	5.73	8.45	0.4936	-0.1700
♂	14	1.26	1.69	3.06	5.96	8.80	0.4902	-0.1855
♂	15	1.32	1.75	3.14	6.10	9.03	0.4851	-0.2022
♂	16	1.36	1.80	3.19	6.17	9.13	0.4785	-0.2209
♂	17	1.40	1.83	3.22	6.17	9.12	0.4703	-0.2404
♂	18	1.43	1.86	3.22	6.12	9.02	0.4608	-0.2597
♂	19	1.46	1.88	3.22	6.04	8.87	0.4508	-0.2792
♂	20	1.49	1.90	3.21	5.95	8.71	0.4408	-0.2989
♀	8	0.75	0.96	1.59	2.88	4.11	0.4251	-0.2790
♀	9	1.00	1.25	2.04	3.63	5.18	0.4105	-0.3293
♀	10	1.25	1.55	2.47	4.34	6.19	0.3966	-0.3741
♀	11	1.49	1.84	2.87	4.97	7.05	0.3828	-0.4119
♀	12	1.72	2.10	3.23	5.48	7.71	0.3690	-0.4416
♀	13	1.93	2.33	3.53	5.88	8.18	0.3560	-0.4599
♀	14	2.09	2.52	3.76	6.17	8.45	0.3447	-0.4595
♀	15	2.21	2.65	3.94	6.35	8.58	0.3366	-0.4372
♀	16	2.29	2.75	4.08	6.49	8.64	0.3312	-0.3973
♀	17	2.36	2.85	4.21	6.63	8.71	0.3275	-0.3477
♀	18	2.43	2.94	4.35	6.78	8.80	0.3243	-0.2949
♀	19	2.50	3.04	4.49	6.92	8.87	0.3202	-0.2403
♀	20	2.58	3.14	4.63	7.05	8.93	0.3153	-0.1842

BMDWHITE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	0.59	0.64	0.75	0.86	0.92	0.1139	0.6247
♀	9	0.64	0.70	0.81	0.92	0.99	0.1084	0.6080
♀	10	0.70	0.76	0.87	0.99	1.05	0.1033	0.5805
♀	11	0.76	0.81	0.93	1.05	1.11	0.0983	0.5356
♀	12	0.81	0.87	0.98	1.10	1.17	0.0937	0.4613
♀	13	0.86	0.91	1.03	1.15	1.22	0.0896	0.3651
♀	14	0.90	0.95	1.07	1.19	1.26	0.0865	0.2540
♀	15	0.93	0.98	1.10	1.22	1.29	0.0848	0.1219
♀	16	0.95	1.00	1.12	1.25	1.32	0.0844	-0.0047
♀	17	0.96	1.02	1.13	1.26	1.34	0.0851	-0.0547
♀	18	0.96	1.02	1.14	1.28	1.35	0.0864	0.0252
♀	19	0.97	1.03	1.15	1.29	1.36	0.0880	0.2207
♀	20	0.97	1.03	1.16	1.30	1.37	0.0896	0.4510
♂	8	0.61	0.66	0.76	0.85	0.89	0.0950	1.6441
♂	9	0.65	0.70	0.80	0.89	0.94	0.0940	1.3272
♂	10	0.69	0.74	0.84	0.94	1.00	0.0932	1.0362
♂	11	0.73	0.79	0.89	1.00	1.05	0.0930	0.8071
♂	12	0.78	0.83	0.94	1.06	1.12	0.0933	0.6714
♂	13	0.83	0.89	1.01	1.13	1.20	0.0940	0.6459
♂	14	0.88	0.95	1.07	1.21	1.28	0.0945	0.7126
♂	15	0.93	1.00	1.14	1.28	1.35	0.0946	0.8455
♂	16	0.98	1.05	1.20	1.34	1.42	0.0944	0.9926
♂	17	1.01	1.09	1.24	1.39	1.47	0.0939	1.1378
♂	18	1.04	1.12	1.28	1.43	1.50	0.0932	1.2972
♂	19	1.05	1.14	1.30	1.45	1.53	0.0924	1.4899
♂	20	1.07	1.16	1.32	1.47	1.54	0.0914	1.6984

BMDMEXICAN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	0.58	0.63	0.73	0.84	0.90	0.1125	0.4256
♀	9	0.63	0.69	0.80	0.91	0.97	0.1088	0.5867
♀	10	0.69	0.75	0.87	0.98	1.05	0.1052	0.7174
♀	11	0.75	0.81	0.93	1.05	1.12	0.1019	0.7888
♀	12	0.80	0.86	0.99	1.11	1.18	0.0986	0.8059
♀	13	0.85	0.91	1.03	1.16	1.23	0.0953	0.7649
♀	14	0.88	0.95	1.07	1.20	1.27	0.0921	0.6635
♀	15	0.91	0.97	1.09	1.22	1.29	0.0894	0.5236
♀	16	0.92	0.98	1.10	1.23	1.30	0.0875	0.3618
♀	17	0.93	0.99	1.11	1.24	1.31	0.0866	0.1565
♀	18	0.93	0.99	1.10	1.23	1.31	0.0863	-0.0928
♀	19	0.93	0.99	1.10	1.23	1.31	0.0862	-0.3579
♀	20	0.93	0.98	1.09	1.22	1.30	0.0861	-0.6147
♂	8	0.59	0.64	0.74	0.84	0.90	0.1081	0.5562
♂	9	0.63	0.68	0.79	0.90	0.96	0.1067	0.5445
♂	10	0.68	0.73	0.84	0.96	1.02	0.1053	0.5324
♂	11	0.72	0.78	0.90	1.02	1.09	0.1038	0.5277
♂	12	0.77	0.83	0.95	1.08	1.15	0.1022	0.5292
♂	13	0.82	0.89	1.02	1.15	1.22	0.1005	0.5270
♂	14	0.88	0.94	1.08	1.22	1.30	0.0989	0.5314
♂	15	0.93	1.00	1.14	1.28	1.36	0.0975	0.5478
♂	16	0.97	1.04	1.18	1.33	1.42	0.0965	0.5706
♂	17	1.00	1.07	1.22	1.37	1.45	0.0958	0.5822
♂	18	1.01	1.09	1.23	1.39	1.47	0.0955	0.5554
♂	19	1.02	1.09	1.24	1.40	1.49	0.0955	0.4843
♂	20	1.03	1.10	1.25	1.41	1.50	0.0957	0.3943

BMDBLACK

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	0.63	0.70	0.82	0.92	0.97	0.1039	2.1595
♀	9	0.69	0.76	0.88	0.99	1.05	0.1012	1.7643
♀	10	0.76	0.82	0.95	1.07	1.13	0.0987	1.3629
♀	11	0.82	0.89	1.01	1.13	1.20	0.0963	0.9679
♀	12	0.88	0.94	1.07	1.20	1.27	0.0940	0.6237
♀	13	0.92	0.99	1.11	1.25	1.32	0.0919	0.3775
♀	14	0.96	1.02	1.15	1.29	1.37	0.0901	0.2522
♀	15	0.98	1.05	1.18	1.32	1.39	0.0890	0.2667
♀	16	1.00	1.06	1.19	1.33	1.41	0.0884	0.4289
♀	17	1.00	1.07	1.20	1.34	1.42	0.0882	0.7158
♀	18	1.00	1.07	1.21	1.35	1.42	0.0881	1.0980
♀	19	0.99	1.07	1.21	1.35	1.42	0.0881	1.5360
♀	20	0.99	1.07	1.22	1.35	1.41	0.0881	1.9838
♂	8	0.65	0.70	0.79	0.89	0.95	0.0958	0.2469
♂	9	0.69	0.74	0.84	0.95	1.02	0.0971	0.2909
♂	10	0.74	0.79	0.90	1.02	1.08	0.0985	0.3316
♂	11	0.78	0.83	0.95	1.08	1.15	0.1002	0.3811
♂	12	0.82	0.88	1.01	1.15	1.22	0.1021	0.4322
♂	13	0.87	0.94	1.08	1.22	1.31	0.1040	0.4773
♂	14	0.92	1.00	1.15	1.31	1.39	0.1054	0.5234
♂	15	0.97	1.06	1.22	1.39	1.48	0.1058	0.5688
♂	16	1.02	1.11	1.28	1.45	1.55	0.1049	0.6285
♂	17	1.06	1.15	1.32	1.50	1.60	0.1032	0.7052
♂	18	1.10	1.19	1.36	1.54	1.64	0.1013	0.7846
♂	19	1.12	1.22	1.39	1.57	1.67	0.0994	0.8519
♂	20	1.15	1.24	1.42	1.60	1.69	0.0974	0.9150

LBMWHITE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	1.82	2.11	2.87	4.05	4.93	0.2526	-0.3268
♀	9	2.23	2.58	3.46	4.74	5.67	0.2373	-0.2501
♀	10	2.65	3.06	4.04	5.42	6.38	0.2233	-0.1926
♀	11	3.08	3.53	4.59	6.05	7.05	0.2108	-0.1807
♀	12	3.50	3.97	5.09	6.63	7.66	0.1996	-0.2142
♀	13	3.87	4.36	5.52	7.11	8.19	0.1904	-0.2759
♀	14	4.17	4.67	5.86	7.49	8.60	0.1837	-0.3396
♀	15	4.38	4.89	6.10	7.77	8.92	0.1800	-0.3858
♀	16	4.52	5.04	6.28	7.99	9.17	0.1795	-0.4012
♀	17	4.59	5.13	6.41	8.17	9.39	0.1815	-0.3728
♀	18	4.63	5.19	6.52	8.35	9.58	0.1850	-0.3052
♀	19	4.66	5.25	6.65	8.52	9.77	0.1884	-0.2167
♀	20	4.70	5.32	6.78	8.69	9.95	0.1915	-0.1258
♂	8	2.16	2.48	3.22	4.16	4.76	0.2014	0.0375
♂	9	2.45	2.80	3.60	4.62	5.27	0.1956	0.0429
♂	10	2.74	3.13	4.00	5.11	5.80	0.1917	0.0571
♂	11	3.10	3.54	4.55	5.81	6.60	0.1929	0.0842
♂	12	3.54	4.08	5.30	6.81	7.76	0.1998	0.1249
♂	13	4.08	4.74	6.22	8.06	9.20	0.2071	0.1706
♂	14	4.77	5.54	7.24	9.33	10.62	0.2036	0.2053
♂	15	5.52	6.34	8.15	10.33	11.66	0.1902	0.2129
♂	16	6.13	6.96	8.77	10.96	12.28	0.1771	0.1851
♂	17	6.50	7.33	9.14	11.33	12.66	0.1701	0.1352
♂	18	6.69	7.51	9.31	11.51	12.85	0.1664	0.0804
♂	19	6.84	7.65	9.41	11.57	12.90	0.1617	0.0347
♂	20	7.00	7.78	9.50	11.60	12.89	0.1558	-0.0060

BMCWHITE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	102.34	116.54	150.31	196.42	227.60	0.2035	-0.1909
♀	9	123.48	141.46	183.04	237.14	272.11	0.2016	-0.0183
♀	10	144.95	166.98	216.56	278.31	316.75	0.1992	0.1391
♀	11	167.52	193.58	250.88	319.91	361.70	0.1957	0.2575
♀	12	190.61	220.26	284.29	359.59	404.31	0.1908	0.3373
♀	13	212.96	245.45	314.71	394.78	441.74	0.1849	0.3882
♀	14	232.52	267.09	339.99	423.12	471.39	0.1789	0.4276
♀	15	248.08	284.08	359.33	444.22	493.11	0.1738	0.4597
♀	16	259.70	296.76	373.69	459.74	509.01	0.1701	0.4868
♀	17	267.48	305.60	384.14	471.09	520.49	0.1681	0.5278
♀	18	272.47	311.93	392.35	480.19	529.61	0.1674	0.5890
♀	19	276.33	317.37	399.98	488.82	538.23	0.1674	0.6618
♀	20	280.26	322.96	407.91	497.99	547.60	0.1676	0.7278
♂	8	110.05	124.02	154.17	189.77	211.05	0.1658	0.2175
♂	9	125.78	142.80	180.09	225.04	252.33	0.1774	0.1786
♂	10	138.16	158.15	202.66	257.37	291.08	0.1899	0.1521
♂	11	152.98	176.85	230.52	297.26	338.72	0.2025	0.1594
♂	12	174.51	204.02	270.30	352.33	402.99	0.2129	0.2182
♂	13	203.45	240.27	321.54	419.52	478.68	0.2169	0.3279
♂	14	243.50	288.53	384.62	495.32	559.90	0.2097	0.4741
♂	15	285.81	337.13	442.31	557.65	622.60	0.1947	0.6318
♂	16	319.72	374.42	482.81	597.09	659.75	0.1801	0.7715
♂	17	342.77	399.44	508.88	621.02	681.33	0.1700	0.8891
♂	18	354.60	412.46	521.88	631.43	689.46	0.1637	0.9945
♂	19	361.26	419.87	528.40	634.68	690.18	0.1585	1.1030
♂	20	364.73	423.35	529.65	631.49	683.95	0.1530	1.2164

BMCMEXICAN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	99.38	112.49	142.92	182.95	209.16	0.1897	-0.1261
♀	9	124.68	141.33	179.68	229.44	261.61	0.1890	-0.0746
♀	10	150.01	170.27	216.56	275.87	313.77	0.1883	-0.0263
♀	11	174.58	198.38	252.34	320.65	363.87	0.1873	0.0174
♀	12	196.92	223.90	284.65	360.71	408.37	0.1860	0.0570
♀	13	215.75	245.30	311.33	393.15	443.95	0.1840	0.0915
♀	14	230.25	261.57	331.09	416.34	468.84	0.1813	0.1214
♀	15	240.47	272.85	344.22	430.92	483.92	0.1782	0.1476
♀	16	247.17	280.07	352.16	439.00	491.72	0.1753	0.1706
♀	17	251.38	284.43	356.52	442.81	494.94	0.1726	0.1865
♀	18	254.01	286.97	358.60	444.00	495.41	0.1702	0.1945
♀	19	255.57	288.29	359.21	443.44	494.03	0.1679	0.2001
♀	20	256.53	288.97	359.06	441.97	491.61	0.1657	0.2088
♂	8	106.54	120.47	152.83	195.44	223.38	0.1887	-0.1372
♂	9	122.31	139.42	179.12	231.11	264.98	0.1972	-0.0680
♂	10	138.65	159.45	207.54	269.96	310.20	0.2054	0.0092
♂	11	158.23	183.72	242.07	316.50	363.67	0.2122	0.1047
♂	12	182.39	213.57	283.76	370.83	424.69	0.2150	0.2171
♂	13	211.59	248.95	331.04	429.43	488.63	0.2121	0.3333
♂	14	244.02	287.05	379.18	485.90	548.45	0.2044	0.4395
♂	15	275.67	323.01	422.28	534.31	598.74	0.1953	0.5176
♂	16	302.18	352.00	455.19	569.99	635.36	0.1869	0.5557
♂	17	320.49	370.84	474.86	590.29	655.93	0.1804	0.5503
♂	18	330.09	379.66	482.67	597.92	663.88	0.1764	0.5042
♂	19	333.04	381.40	483.05	598.57	665.47	0.1753	0.4315
♂	20	333.53	380.72	481.31	597.82	666.30	0.1757	0.3480

LBMMEXICAN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	1.70	1.92	2.49	3.39	4.12	0.2189	-0.6556
♀	9	2.13	2.41	3.12	4.23	5.11	0.2176	-0.6145
♀	10	2.57	2.90	3.75	5.08	6.10	0.2161	-0.5805
♀	11	2.99	3.38	4.36	5.88	7.04	0.2142	-0.5645
♀	12	3.37	3.80	4.89	6.56	7.85	0.2116	-0.5681
♀	13	3.67	4.13	5.29	7.08	8.44	0.2084	-0.5864
♀	14	3.88	4.35	5.55	7.39	8.80	0.2050	-0.6071
♀	15	4.00	4.48	5.70	7.56	8.98	0.2024	-0.6201
♀	16	4.06	4.55	5.78	7.66	9.09	0.2011	-0.6239
♀	17	4.10	4.60	5.84	7.73	9.18	0.2012	-0.6196
♀	18	4.13	4.64	5.90	7.82	9.28	0.2023	-0.6068
♀	19	4.16	4.67	5.95	7.91	9.39	0.2037	-0.5909
♀	20	4.18	4.70	6.00	7.98	9.48	0.2051	-0.5755
♂	8	2.08	2.36	3.02	3.93	4.56	0.1997	-0.2312
♂	9	2.38	2.72	3.55	4.68	5.45	0.2113	-0.1724
♂	10	2.69	3.11	4.11	5.49	6.42	0.2215	-0.1161
♂	11	3.06	3.56	4.76	6.40	7.50	0.2286	-0.0673
♂	12	3.52	4.11	5.50	7.39	8.65	0.2293	-0.0291
♂	13	4.11	4.77	6.32	8.39	9.74	0.2203	-0.0040
♂	14	4.75	5.47	7.12	9.27	10.66	0.2059	0.0095
♂	15	5.32	6.07	7.80	10.00	11.41	0.1947	0.0151
♂	16	5.74	6.52	8.28	10.51	11.92	0.1862	0.0187
♂	17	6.02	6.80	8.55	10.73	12.10	0.1779	0.0272
♂	18	6.12	6.90	8.63	10.78	12.11	0.1741	0.0426
♂	19	6.06	6.85	8.60	10.78	12.13	0.1772	0.0630
♂	20	5.94	6.74	8.55	10.79	12.18	0.1833	0.0845

LBMBLACK

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♀	8	2.08	2.55	3.56	4.69	5.34	0.2349	0.6019
♀	9	2.58	3.11	4.26	5.61	6.42	0.2293	0.4289
♀	10	3.10	3.67	4.94	6.52	7.49	0.2237	0.2533
♀	11	3.62	4.21	5.59	7.36	8.51	0.2178	0.0740
♀	12	4.10	4.71	6.15	8.09	9.38	0.2111	-0.0971
♀	13	4.50	5.12	6.61	8.66	10.07	0.2050	-0.2337
♀	14	4.79	5.42	6.95	9.08	10.58	0.2008	-0.3160
♀	15	4.98	5.62	7.18	9.38	10.92	0.1994	-0.3363
♀	16	5.05	5.72	7.33	9.60	11.17	0.2013	-0.3061
♀	17	5.06	5.75	7.42	9.76	11.36	0.2058	-0.2513
♀	18	5.01	5.74	7.47	9.88	11.52	0.2118	-0.1925
♀	19	4.94	5.70	7.50	9.97	11.65	0.2183	-0.1270
♀	20	4.87	5.65	7.52	10.06	11.75	0.2247	-0.0614
♂	8	2.55	2.84	3.54	4.52	5.20	0.1798	-0.4489
♂	9	2.87	3.22	4.07	5.26	6.09	0.1908	-0.3692
♂	10	3.20	3.63	4.66	6.10	7.10	0.2026	-0.2789
♂	11	3.55	4.08	5.35	7.07	8.22	0.2141	-0.1167
♂	12	3.97	4.64	6.20	8.20	9.48	0.2220	0.1104
♂	13	4.51	5.34	7.20	9.48	10.87	0.2235	0.2848
♂	14	5.15	6.10	8.19	10.69	12.19	0.2179	0.3555
♂	15	5.83	6.83	9.02	11.65	13.23	0.2077	0.3163
♂	16	6.46	7.43	9.59	12.25	13.89	0.1951	0.1767
♂	17	6.90	7.83	9.92	12.54	14.18	0.1837	0.0377
♂	18	7.15	8.04	10.05	12.61	14.23	0.1758	-0.0514
♂	19	7.30	8.17	10.13	12.64	14.24	0.1704	-0.1198
♂	20	7.44	8.28	10.20	12.67	14.26	0.1658	-0.1845

Category: other

life_fibroscan.ref

Citations

• preliminary reference values cap med and e med from fibroscan in the life child study. Publication (Puasa et al) in preparation.

CAP

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	10	117.60	141.10	188.49	239.37	267.60	0.2037	0.7283
♂	11	119.97	146.39	199.95	257.76	289.91	0.2176	0.7283
♂	12	117.15	145.37	202.87	265.22	299.98	0.2309	0.7283
♂	13	112.72	142.00	201.94	267.21	303.68	0.2424	0.7283
♂	14	109.47	139.50	201.18	268.55	306.25	0.2508	0.7283
♂	15	107.63	137.92	200.27	268.46	306.66	0.2549	0.7283
♂	16	106.88	136.69	198.02	265.04	302.58	0.2534	0.7283
♂	17	108.27	137.00	195.91	260.12	296.03	0.2457	0.7283
♂	18	114.36	141.99	198.30	259.37	293.43	0.2314	0.7283
♀	10	132.24	152.34	192.77	236.18	260.29	0.1698	0.6733
♀	11	118.09	141.06	187.94	239.01	267.62	0.2036	0.6733
♀	12	111.79	137.34	190.05	248.06	280.75	0.2277	0.6733
♀	13	110.13	137.46	194.20	256.99	292.48	0.2406	0.6733
♀	14	110.63	138.56	196.62	260.94	297.31	0.2433	0.6733
♀	15	112.57	140.15	197.35	260.59	296.31	0.2385	0.6733
♀	16	115.51	142.25	197.48	258.30	292.59	0.2297	0.6733
♀	17	118.60	144.37	197.34	255.44	288.13	0.2199	0.6733
♀	18	120.62	145.52	196.52	252.27	283.58	0.2122	0.6733

E

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	10	2.85	3.15	3.85	4.77	5.38	0.1617	-0.3079
♂	11	2.91	3.29	4.22	5.52	6.42	0.2011	-0.3079
♂	12	2.86	3.30	4.38	5.99	7.15	0.2320	-0.3079
♂	13	2.86	3.32	4.52	6.35	7.71	0.2516	-0.3079
♂	14	2.96	3.46	4.75	6.75	8.27	0.2599	-0.3079
♂	15	3.11	3.64	5.00	7.09	8.68	0.2594	-0.3079
♂	16	3.22	3.76	5.12	7.20	8.77	0.2534	-0.3079
♂	17	3.26	3.79	5.11	7.12	8.61	0.2456	-0.3079
♂	18	3.30	3.81	5.11	7.06	8.48	0.2394	-0.3079
♀	10	2.49	2.88	3.86	5.30	6.35	0.2375	-0.2687
♀	11	2.72	3.13	4.14	5.61	6.65	0.2273	-0.2687
♀	12	2.75	3.15	4.13	5.55	6.54	0.2204	-0.2687
♀	13	2.74	3.14	4.10	5.47	6.43	0.2164	-0.2687
♀	14	2.85	3.25	4.24	5.65	6.64	0.2150	-0.2687
♀	15	2.99	3.42	4.47	5.96	7.01	0.2161	-0.2687
♀	16	3.06	3.50	4.60	6.16	7.27	0.2198	-0.2687
♀	17	3.00	3.45	4.57	6.17	7.32	0.2260	-0.2687
♀	18	2.87	3.32	4.44	6.07	7.25	0.2350	-0.2687

linden_heart.ref

Citations

• Linden, K. et al. (2019) ‘Left Atrial Volumes and Phasic Function in Healthy Children: Reference Values Using Real-Time Three-Dimensional Echocardiography’, Journal of the American Society of Echocardiography, 32(8), pp. 1036-1045.e9. doi:10.1016/j.echo.2019.03.018.

VMAX

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.20	1.36	1.68	2.41	3.29	3.82	0.26	0.43
♂	0.25	2.23	2.76	3.96	5.41	6.28	0.26	0.43
♂	0.30	3.10	3.85	5.51	7.52	8.74	0.26	0.43
♂	0.35	4.07	4.99	7.05	9.52	11.00	0.25	0.43
♂	0.40	4.96	6.09	8.60	11.61	13.42	0.25	0.43
♂	0.45	5.85	7.18	10.14	13.69	15.82	0.25	0.43
♂	0.50	6.75	8.29	11.69	15.79	18.25	0.25	0.42
♂	0.55	7.65	9.39	13.24	17.88	20.67	0.25	0.42
♂	0.60	8.54	10.48	14.78	19.96	23.08	0.25	0.42
♂	0.65	9.43	11.58	16.33	22.06	25.50	0.25	0.42
♂	0.70	10.33	12.67	17.88	24.15	27.92	0.25	0.42
♂	0.75	11.50	13.97	19.42	25.93	29.83	0.24	0.42
♂	0.80	12.42	15.09	20.97	28.00	32.21	0.24	0.42
♂	0.85	13.33	16.19	22.51	30.06	34.58	0.24	0.42
♂	0.90	14.25	17.31	24.06	32.13	36.96	0.24	0.42
♂	0.95	15.16	18.42	25.61	34.20	39.34	0.24	0.42
♂	1.00	16.10	19.54	27.15	36.27	41.74	0.24	0.41
♂	2.00	37.08	43.71	58.08	75.02	85.08	0.21	0.39
♀	0.20	1.32	1.64	2.36	3.22	3.73	0.26	0.45
♀	0.25	1.81	2.25	3.22	4.39	5.10	0.26	0.44
♀	0.30	2.33	2.89	4.14	5.65	6.56	0.26	0.43
♀	0.35	2.91	3.61	5.17	7.06	8.20	0.26	0.43
♀	0.40	3.60	4.46	6.38	8.71	10.12	0.26	0.42
♀	0.45	4.50	5.52	7.78	10.51	12.16	0.25	0.41
♀	0.50	5.41	6.63	9.35	12.63	14.61	0.25	0.41
♀	0.55	6.40	7.84	11.04	14.92	17.27	0.25	0.40
♀	0.60	7.40	9.06	12.77	17.26	19.98	0.25	0.40
♀	0.65	8.41	10.29	14.49	19.60	22.69	0.25	0.39
♀	0.70	9.62	11.65	16.16	21.62	24.91	0.24	0.38
♀	0.75	10.58	12.81	17.76	23.76	27.38	0.24	0.38
♀	0.80	11.50	13.91	19.28	25.80	29.75	0.24	0.37
♀	0.85	12.36	14.95	20.72	27.73	31.97	0.24	0.37
♀	0.90	13.20	15.95	22.10	29.59	34.13	0.24	0.36
♀	0.95	14.33	17.16	23.43	31.01	35.58	0.23	0.36
♀	1.00	15.14	18.11	24.72	32.72	37.57	0.23	0.35
♀	2.00	37.02	42.94	55.98	71.75	81.31	0.20	0.26

VMIN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.20	0.45	0.57	0.84	1.15	1.34	0.27	0.55
♂	0.25	0.75	0.95	1.39	1.91	2.22	0.27	0.53
♂	0.30	1.04	1.32	1.94	2.67	3.10	0.27	0.52
♂	0.35	1.35	1.70	2.49	3.43	3.98	0.27	0.50
♂	0.40	1.65	2.08	3.04	4.18	4.87	0.27	0.49
♂	0.45	1.96	2.47	3.60	4.96	5.77	0.27	0.47
♂	0.50	2.26	2.85	4.15	5.72	6.66	0.27	0.46
♂	0.55	2.57	3.23	4.70	6.49	7.56	0.27	0.44
♂	0.60	2.88	3.61	5.25	7.25	8.46	0.27	0.43
♂	0.65	3.19	3.99	5.80	8.02	9.36	0.27	0.41
♂	0.70	3.50	4.38	6.35	8.78	10.26	0.27	0.40
♂	0.75	3.82	4.76	6.90	9.55	11.18	0.27	0.38
♂	0.80	4.13	5.14	7.45	10.32	12.08	0.27	0.37
♂	0.85	4.46	5.53	8.00	11.09	13.00	0.27	0.35
♂	0.90	4.77	5.92	8.55	11.86	13.91	0.27	0.34
♂	0.95	5.10	6.31	9.10	12.63	14.84	0.27	0.32
♂	1.00	5.42	6.70	9.65	13.41	15.77	0.27	0.30
♂	2.00	12.16	14.61	20.65	29.19	35.05	0.27	0.00
♀	0.20	0.44	0.61	0.94	1.28	1.47	0.28	0.92
♀	0.25	0.56	0.77	1.19	1.62	1.86	0.28	0.89
♀	0.30	0.70	0.96	1.47	2.01	2.30	0.28	0.86
♀	0.35	0.86	1.17	1.79	2.45	2.81	0.28	0.84
♀	0.40	1.05	1.43	2.18	2.99	3.43	0.28	0.81
♀	0.45	1.29	1.73	2.64	3.62	4.17	0.28	0.78
♀	0.50	1.56	2.09	3.17	4.36	5.02	0.28	0.75
♀	0.55	1.86	2.47	3.74	5.14	5.93	0.28	0.73
♀	0.60	2.18	2.88	4.35	5.99	6.92	0.28	0.70
♀	0.65	2.50	3.29	4.96	6.84	7.91	0.28	0.67
♀	0.70	2.82	3.70	5.56	7.68	8.89	0.28	0.65
♀	0.75	3.14	4.10	6.15	8.50	9.86	0.28	0.62
♀	0.80	3.46	4.48	6.71	9.29	10.79	0.28	0.59
♀	0.85	3.75	4.85	7.25	10.05	11.69	0.28	0.57
♀	0.90	4.05	5.21	7.77	10.79	12.57	0.28	0.54
♀	0.95	4.34	5.56	8.26	11.48	13.40	0.28	0.51
♀	1.00	4.61	5.89	8.74	12.16	14.21	0.28	0.49
♀	2.00	11.36	13.63	19.26	27.24	32.74	0.27	-0.01

EV

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.20	0.88	1.09	1.59	2.24	2.65	0.28	0.27
♂	0.25	1.45	1.78	2.57	3.57	4.20	0.27	0.29
♂	0.30	2.00	2.47	3.56	4.95	5.82	0.27	0.30
♂	0.35	2.55	3.16	4.55	6.32	7.43	0.27	0.31
♂	0.40	3.17	3.89	5.53	7.59	8.87	0.26	0.32
♂	0.45	3.73	4.58	6.52	8.94	10.43	0.26	0.34
♂	0.50	4.28	5.26	7.50	10.28	11.99	0.26	0.35
♂	0.55	4.84	5.95	8.49	11.63	13.56	0.26	0.36
♂	0.60	5.52	6.74	9.48	12.83	14.87	0.25	0.37
♂	0.65	6.07	7.43	10.46	14.15	16.38	0.25	0.39
♂	0.70	6.64	8.13	11.45	15.48	17.91	0.25	0.40
♂	0.75	7.20	8.82	12.44	16.81	19.44	0.25	0.41
♂	0.80	7.75	9.51	13.42	18.13	20.95	0.25	0.42
♂	0.85	8.30	10.20	14.41	19.45	22.46	0.25	0.44
♂	0.90	8.85	10.90	15.40	20.77	23.98	0.25	0.45
♂	0.95	9.40	11.58	16.38	22.09	25.48	0.25	0.46
♂	1.00	9.95	12.27	17.37	23.41	27.00	0.25	0.47
♂	2.00	26.00	29.72	37.10	44.92	49.22	0.16	0.72
♀	0.20	0.80	0.97	1.40	2.03	2.48	0.29	-0.03
♀	0.25	1.16	1.40	2.00	2.87	3.47	0.28	-0.01
♀	0.30	1.52	1.84	2.63	3.76	4.55	0.28	0.01
♀	0.35	1.92	2.33	3.34	4.78	5.76	0.28	0.02
♀	0.40	2.43	2.93	4.15	5.85	7.01	0.27	0.04
♀	0.45	2.97	3.59	5.09	7.17	8.57	0.27	0.06
♀	0.50	3.64	4.37	6.13	8.52	10.10	0.26	0.08
♀	0.55	4.29	5.15	7.23	10.03	11.88	0.26	0.10
♀	0.60	4.94	5.95	8.36	11.59	13.71	0.26	0.12
♀	0.65	5.71	6.83	9.48	12.97	15.23	0.25	0.14
♀	0.70	6.33	7.59	10.55	14.42	16.91	0.25	0.16
♀	0.75	6.93	8.32	11.56	15.79	18.51	0.25	0.17
♀	0.80	7.65	9.12	12.52	16.88	19.65	0.24	0.19
♀	0.85	8.18	9.77	13.43	18.09	21.03	0.24	0.21
♀	0.90	8.88	10.53	14.29	19.01	21.94	0.23	0.23
♀	0.95	9.37	11.13	15.12	20.09	23.18	0.23	0.25
♀	1.00	9.86	11.72	15.94	21.17	24.39	0.23	0.27
♀	2.00	25.20	28.99	36.66	44.95	49.59	0.17	0.64

VPREA

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	0.20	0.69	0.89	1.37	2.02	2.45	0.32	0.26
♂	0.25	1.05	1.35	2.08	3.07	3.72	0.32	0.25
♂	0.30	1.41	1.81	2.79	4.12	5.00	0.32	0.25
♂	0.35	1.77	2.27	3.50	5.18	6.28	0.32	0.24
♂	0.40	2.18	2.77	4.21	6.15	7.42	0.31	0.24
♂	0.45	2.55	3.24	4.91	7.18	8.67	0.31	0.23
♂	0.50	2.92	3.71	5.62	8.22	9.92	0.31	0.23
♂	0.55	3.30	4.18	6.33	9.26	11.20	0.31	0.22
♂	0.60	3.68	4.66	7.05	10.33	12.49	0.31	0.21
♂	0.65	4.15	5.21	7.78	11.26	13.54	0.30	0.21
♂	0.70	4.55	5.70	8.51	12.33	14.84	0.30	0.20
♂	0.75	4.95	6.21	9.26	13.41	16.15	0.30	0.20
♂	0.80	5.37	6.72	10.02	14.52	17.50	0.30	0.19
♂	0.85	5.91	7.33	10.78	15.44	18.49	0.29	0.19
♂	0.90	6.34	7.86	11.55	16.55	19.84	0.29	0.18
♂	0.95	6.77	8.40	12.34	17.68	21.20	0.29	0.18
♂	1.00	7.22	8.94	13.13	18.83	22.59	0.29	0.17
♂	2.00	18.70	22.27	30.79	42.27	49.85	0.25	0.07
♀	0.20	0.72	0.86	1.22	1.73	2.08	0.27	-0.02
♀	0.25	1.09	1.31	1.85	2.61	3.14	0.27	0.00
♀	0.30	1.46	1.75	2.48	3.50	4.20	0.27	0.02
♀	0.35	1.82	2.20	3.11	4.39	5.25	0.27	0.04
♀	0.40	2.19	2.64	3.75	5.28	6.31	0.27	0.06
♀	0.45	2.56	3.09	4.39	6.18	7.37	0.27	0.08
♀	0.50	2.93	3.54	5.04	7.08	8.44	0.27	0.10
♀	0.55	3.29	4.00	5.69	7.99	9.50	0.27	0.12
♀	0.60	3.67	4.46	6.36	8.92	10.60	0.27	0.14
♀	0.65	4.04	4.92	7.03	9.85	11.68	0.27	0.16
♀	0.70	4.43	5.40	7.72	10.80	12.80	0.27	0.18
♀	0.75	4.81	5.88	8.41	11.75	13.91	0.27	0.20
♀	0.80	5.08	6.27	9.11	12.87	15.29	0.28	0.22
♀	0.85	5.45	6.75	9.82	13.85	16.44	0.28	0.24
♀	0.90	5.83	7.23	10.54	14.85	17.60	0.28	0.26
♀	0.95	6.21	7.72	11.27	15.86	18.78	0.28	0.28
♀	1.00	6.59	8.22	12.01	16.89	19.96	0.28	0.30
♀	2.00	13.23	17.80	27.40	38.11	44.17	0.29	0.71

momo.ref

Citations

• Niessner C, Utesch T, Oriwol D, et al. Representative Percentile Curves of Physical Fitness From Early Childhood to Early Adulthood: The MoMo Study. Front Public Health 2020;8. Available from: https://www.frontiersin.org/articles/10.3389/fpubh.2020.00458/full?report=reader

BALANCE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	6.53	9.86	17.75	27.63	33.63	0.5564	0.3914
♀	6	7.89	12.49	22.23	32.99	39.02	0.7908	0.3615
♀	7	9.37	15.22	26.44	37.65	43.58	1.0076	0.3321
♀	8	11.11	17.96	30.13	41.41	47.13	1.2066	0.3035
♀	9	13.06	20.59	33.17	44.20	49.63	1.3895	0.2765
♀	10	15.07	22.95	35.51	46.06	51.13	1.5592	0.2517
♀	11	16.97	24.95	37.17	47.11	51.81	1.7200	0.2296
♀	12	18.65	26.57	38.30	47.59	51.91	1.8816	0.2105
♀	13	20.03	27.84	39.06	47.71	51.69	2.0568	0.1944
♀	14	21.12	28.83	39.58	47.65	51.31	2.2511	0.1812
♀	15	22.02	29.64	40.00	47.58	50.97	2.4580	0.1704
♀	16	22.82	30.38	40.40	47.56	50.73	2.6650	0.1614
♀	17	23.62	31.08	40.80	47.61	50.59	2.8660	0.1534
♀	18	24.43	31.80	41.24	47.73	50.55	3.0642	0.1461
♀	19	25.26	32.52	41.67	47.88	50.55	3.2633	0.1392
♀	20	26.10	33.23	42.09	48.02	50.56	3.4625	0.1326
♀	21	26.97	33.94	42.50	48.17	50.58	3.6603	0.1260
♀	22	27.87	34.65	42.88	48.29	50.58	3.8561	0.1195
♂	5	3.24	6.33	14.45	25.23	31.93	0.5762	0.5130
♂	6	4.57	8.71	18.60	30.61	37.68	0.6843	0.4633
♂	7	6.19	11.36	22.65	35.25	42.32	0.8066	0.4152
♂	8	8.08	14.19	26.44	39.09	45.88	0.9479	0.3698
♂	9	10.10	16.98	29.71	41.91	48.21	1.1164	0.3283
♂	10	12.13	19.54	32.26	43.68	49.36	1.3078	0.2914
♂	11	14.08	21.76	34.17	44.71	49.80	1.5116	0.2601
♂	12	15.81	23.61	35.59	45.33	49.92	1.7145	0.2353
♂	13	17.23	25.07	36.66	45.76	49.97	1.9034	0.2168
♂	14	18.41	26.24	37.48	46.09	50.03	2.0626	0.2030
♂	15	19.46	27.22	38.17	46.41	50.15	2.1856	0.1921
♂	16	20.35	28.05	38.74	46.71	50.30	2.2825	0.1837
♂	17	21.05	28.67	39.14	46.89	50.37	2.3582	0.1772
♂	18	21.54	29.08	39.36	46.93	50.32	2.4152	0.1724
♂	19	21.78	29.28	39.46	46.92	50.26	2.4593	0.1699
♂	20	21.72	29.27	39.46	46.89	50.20	2.4947	0.1697
♂	21	21.42	29.07	39.39	46.85	50.17	2.5246	0.1717
♂	22	20.98	28.79	39.31	46.85	50.19	2.5518	0.1752

PUSHUPS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	7	4.58	6.33	9.97	13.96	16.20	0.7595	0.2997
♂	8	5.00	6.93	10.85	15.06	17.39	0.8122	0.2933
♂	9	5.34	7.43	11.61	16.00	18.40	0.8604	0.2887
♂	10	5.54	7.78	12.15	16.65	19.07	0.9207	0.2854
♂	11	5.67	8.04	12.55	17.07	19.48	0.9891	0.2810
♂	12	5.91	8.36	12.93	17.43	19.79	1.0416	0.2735
♂	13	6.32	8.80	13.38	17.85	20.18	1.0678	0.2637
♂	14	6.84	9.33	13.93	18.40	20.73	1.0803	0.2535
♂	15	7.38	9.90	14.53	19.02	21.36	1.0930	0.2444
♂	16	7.93	10.48	15.14	19.66	22.01	1.1043	0.2361
♂	17	8.50	11.05	15.72	20.25	22.61	1.1042	0.2279
♂	18	9.01	11.56	16.23	20.76	23.11	1.1024	0.2208
♂	19	9.39	11.95	16.64	21.18	23.53	1.1158	0.2159
♂	20	9.62	12.24	16.99	21.53	23.88	1.1548	0.2128
♂	21	9.71	12.45	17.31	21.88	24.21	1.2213	0.2116
♂	22	9.68	12.58	17.58	22.17	24.48	1.3108	0.2115
♀	6	4.83	6.48	9.74	13.14	14.97	0.8870	0.2668
♀	7	5.22	6.99	10.50	14.20	16.22	0.8578	0.2686
♀	8	5.59	7.45	11.19	15.17	17.36	0.8239	0.2698
♀	9	5.93	7.86	11.78	16.01	18.34	0.7889	0.2703
♀	10	6.15	8.14	12.19	16.56	18.99	0.7807	0.2705
♀	11	6.21	8.25	12.36	16.76	19.19	0.8115	0.2693
♀	12	6.19	8.28	12.41	16.73	19.08	0.8737	0.2661
♀	13	6.14	8.28	12.40	16.58	18.82	0.9492	0.2615
♀	14	6.11	8.28	12.35	16.40	18.54	1.0168	0.2566
♀	15	6.10	8.29	12.33	16.28	18.34	1.0742	0.2523
♀	16	6.17	8.38	12.42	16.31	18.33	1.1088	0.2486
♀	17	6.32	8.57	12.63	16.55	18.58	1.1189	0.2461
♀	18	6.49	8.77	12.92	16.92	19.00	1.1099	0.2456
♀	19	6.66	8.95	13.17	17.29	19.43	1.0782	0.2465
♀	20	6.87	9.12	13.36	17.59	19.83	1.0083	0.2474
♀	21	7.16	9.32	13.52	17.88	20.23	0.8966	0.2473
♀	22	7.49	9.53	13.69	18.16	20.65	0.7646	0.2466

STANDREACH

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♂	5	20.06	24.05	30.70	36.59	39.49	1.5844	0.1580
♂	6	19.32	23.56	30.64	36.94	40.06	1.5245	0.1690
♂	7	18.51	22.97	30.48	37.21	40.54	1.4656	0.1807
♂	8	17.61	22.28	30.18	37.31	40.87	1.4023	0.1930
♂	9	16.64	21.44	29.67	37.21	40.99	1.3326	0.2060
♂	10	15.58	20.46	28.99	36.91	40.93	1.2566	0.2203
♂	11	14.51	19.42	28.20	36.52	40.79	1.1742	0.2358
♂	12	13.51	18.44	27.46	36.21	40.75	1.0952	0.2520
♂	13	12.68	17.65	26.95	36.15	41.00	1.0301	0.2677
♂	14	12.06	17.12	26.75	36.43	41.57	0.9857	0.2819
♂	15	11.62	16.83	26.88	37.08	42.52	0.9619	0.2942
♂	16	11.31	16.76	27.31	38.06	43.81	0.9538	0.3048
♂	17	11.05	16.78	27.89	39.17	45.20	0.9632	0.3138
♂	18	10.74	16.80	28.46	40.19	46.42	0.9885	0.3214
♂	19	10.39	16.80	29.01	41.13	47.52	1.0232	0.3281
♂	20	10.00	16.77	29.52	41.98	48.49	1.0650	0.3344
♂	21	9.60	16.70	29.97	42.73	49.31	1.1110	0.3405
♂	22	9.21	16.60	30.38	43.39	50.03	1.1594	0.3467
♀	5	25.52	28.47	33.49	37.99	40.22	1.7522	0.1102
♀	6	24.34	27.82	33.69	38.93	41.52	1.6740	0.1278
♀	7	23.02	27.02	33.75	39.78	42.75	1.5866	0.1463
♀	8	21.68	26.15	33.73	40.54	43.92	1.4889	0.1652
♀	9	20.43	25.32	33.68	41.29	45.10	1.3930	0.1838
♀	10	19.30	24.53	33.60	41.95	46.16	1.3120	0.2011
♀	11	18.42	23.90	33.54	42.55	47.13	1.2399	0.2160
♀	12	17.87	23.50	33.60	43.18	48.11	1.1723	0.2278
♀	13	17.56	23.30	33.73	43.78	48.99	1.1186	0.2365
♀	14	17.38	23.21	33.91	44.32	49.74	1.0874	0.2425
♀	15	17.21	23.16	34.11	44.78	50.35	1.0806	0.2469
♀	16	16.93	23.05	34.23	45.06	50.68	1.1008	0.2503
♀	17	16.48	22.84	34.27	45.17	50.78	1.1455	0.2535
♀	18	15.92	22.56	34.25	45.21	50.79	1.1990	0.2569
♀	19	15.39	22.26	34.22	45.25	50.83	1.2396	0.2608
♀	20	14.99	22.03	34.20	45.37	51.00	1.2552	0.2650
♀	21	14.71	21.85	34.22	45.58	51.32	1.2481	0.2694
♀	22	14.52	21.70	34.26	45.87	51.75	1.2251	0.2742

JUMP_STAND

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	62.10	72.60	90.34	106.23	114.09	1.5855	0.1442
♀	6	70.40	82.63	102.79	120.46	129.10	1.7110	0.1422
♀	7	78.15	91.85	114.13	133.43	142.81	1.7811	0.1406
♀	8	85.16	99.77	123.66	144.43	154.55	1.7651	0.1394
♀	9	91.53	106.41	131.34	153.48	164.39	1.6560	0.1387
♀	10	97.01	111.74	137.31	160.76	172.52	1.4806	0.1386
♀	11	101.35	115.77	141.76	166.49	179.18	1.2755	0.1393
♀	12	104.64	118.75	145.07	171.03	184.65	1.0764	0.1405
♀	13	106.97	120.89	147.54	174.59	189.06	0.9176	0.1421
♀	14	108.43	122.30	149.32	177.30	192.48	0.8096	0.1438
♀	15	109.26	123.18	150.57	179.29	195.00	0.7454	0.1455
♀	16	109.87	123.84	151.54	180.81	196.91	0.7053	0.1468
♀	17	110.59	124.60	152.49	182.14	198.51	0.6770	0.1473
♀	18	111.17	125.30	153.40	183.23	199.68	0.6846	0.1474
♀	19	111.31	125.72	154.12	183.92	200.23	0.7442	0.1475
♀	20	110.82	125.72	154.51	184.04	199.94	0.8658	0.1473
♀	21	109.77	125.39	154.67	183.70	198.99	1.0451	0.1470
♀	22	108.20	124.81	154.69	183.11	197.68	1.2656	0.1467
♂	5	56.67	70.08	92.75	113.15	123.30	1.4494	0.1798
♂	6	65.16	79.67	103.93	125.55	136.24	1.5164	0.1708
♂	7	73.88	89.17	114.67	137.29	148.44	1.5638	0.1623
♂	8	82.62	98.35	124.68	148.10	159.66	1.5806	0.1544
♂	9	90.57	106.67	133.67	157.69	169.54	1.6053	0.1477
♂	10	97.33	114.00	141.74	166.24	178.27	1.6678	0.1425
♂	11	103.02	120.64	149.42	174.42	186.58	1.7755	0.1389
♂	12	108.12	127.13	157.37	183.07	195.43	1.9074	0.1368
♂	13	113.50	134.11	166.12	192.77	205.46	2.0267	0.1356
♂	14	120.15	141.96	175.51	203.23	216.36	2.0847	0.1339
♂	15	128.23	150.38	184.81	213.48	227.11	2.0639	0.1311
♂	16	136.28	158.33	193.13	222.45	236.48	2.0226	0.1277
♂	17	143.27	165.11	200.01	229.70	243.97	1.9928	0.1244
♂	18	148.60	170.38	205.38	235.28	249.67	1.9885	0.1218
♂	19	151.95	174.03	209.40	239.54	254.03	2.0158	0.1205
♂	20	153.54	176.34	212.50	243.04	257.65	2.0664	0.1208
♂	21	153.87	177.74	215.00	246.09	260.88	2.1305	0.1221
♂	22	153.35	178.55	217.12	248.80	263.75	2.2078	0.1240

JUMP_SIDEWAYS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	nu	sigma
♀	5	6.25	8.62	13.42	18.54	21.35	0.8273	0.2889
♀	6	8.37	11.43	17.34	23.39	26.64	0.9345	0.2695
♀	7	10.73	14.36	21.15	27.90	31.45	1.0248	0.2496
♀	8	13.20	17.25	24.64	31.78	35.48	1.1153	0.2295
♀	9	15.67	19.97	27.65	34.91	38.64	1.1978	0.2102
♀	10	17.93	22.33	30.08	37.30	40.97	1.2760	0.1933
♀	11	19.81	24.26	31.97	39.08	42.67	1.3489	0.1800
♀	12	21.32	25.77	33.45	40.47	44.00	1.3989	0.1705
♀	13	22.46	26.91	34.61	41.65	45.18	1.4123	0.1652
♀	14	23.26	27.73	35.50	42.67	46.28	1.3832	0.1634
♀	15	23.85	28.31	36.20	43.58	47.34	1.3083	0.1640
♀	16	24.37	28.79	36.78	44.45	48.40	1.1973	0.1658
♀	17	24.87	29.22	37.31	45.27	49.44	1.0763	0.1677
♀	18	25.28	29.58	37.76	46.00	50.39	0.9669	0.1697
♀	19	25.60	29.87	38.15	46.66	51.25	0.8731	0.1719
♀	20	25.81	30.07	38.48	47.29	52.10	0.7907	0.1747
♀	21	25.92	30.21	38.77	47.91	52.96	0.7193	0.1783
♀	22	25.98	30.30	39.05	48.54	53.84	0.6574	0.1824
♂	5	5.96	7.87	12.14	17.23	20.25	0.5436	0.3010
♂	6	7.97	10.36	15.59	21.68	25.24	0.5812	0.2836
♂	7	10.14	13.02	19.13	26.05	30.02	0.6400	0.2663
♂	8	12.40	15.74	22.62	30.15	34.38	0.7200	0.2491
♂	9	14.57	18.35	25.85	33.74	38.05	0.8303	0.2327
♂	10	16.59	20.76	28.72	36.76	41.05	0.9627	0.2175
♂	11	18.45	22.98	31.29	39.34	43.53	1.1146	0.2037
♂	12	20.08	24.98	33.56	41.54	45.59	1.2906	0.1917
♂	13	21.51	26.74	35.54	43.42	47.34	1.4601	0.1816
♂	14	22.93	28.33	37.19	44.95	48.76	1.5819	0.1726
♂	15	24.37	29.74	38.49	46.10	49.82	1.6481	0.1640
♂	16	25.62	30.93	39.54	47.02	50.66	1.6904	0.1570
♂	17	26.61	31.88	40.42	47.81	51.40	1.7265	0.1520
♂	18	27.32	32.60	41.14	48.50	52.07	1.7626	0.1489
♂	19	27.72	33.11	41.74	49.12	52.68	1.8115	0.1476
♂	20	27.86	33.47	42.30	49.73	53.30	1.8815	0.1478
♂	21	27.78	33.73	42.86	50.40	53.98	1.9723	0.1491
♂	22	27.53	33.91	43.41	51.08	54.68	2.0759	0.1512

motor.ref

Citations

• as from 2020-10-07

SHH_MEAN

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	6	7.43	9.63	14.14	20.34	24.29	4.3199	1.4065	16.0745
♂	7	8.87	11.92	17.80	25.32	30.03	5.3859	1.2864	16.0745
♂	8	10.43	14.59	22.07	30.60	35.78	6.4091	1.1363	16.0745
♂	9	12.74	17.78	26.38	34.94	39.94	6.8582	0.9948	16.0745
♂	10	15.64	21.13	30.20	38.34	42.90	6.8879	0.8990	16.0745
♂	11	17.46	23.32	32.86	41.00	45.44	7.0824	0.8529	16.0745
♂	12	18.43	24.62	34.70	43.22	47.87	7.4534	0.8468	16.0745
♂	13	20.30	26.47	36.57	45.30	50.12	7.5442	0.8664	16.0745
♂	14	23.39	29.11	38.57	47.13	51.95	7.2120	0.9064	16.0745
♂	15	26.47	31.69	40.47	48.81	53.61	6.8465	0.9519	16.0745
♂	16	28.40	33.30	41.66	50.03	54.92	6.6889	0.9999	16.0745
♂	17	29.35	34.07	42.28	50.93	56.09	6.7435	1.0529	16.0745
♂	18	29.71	34.32	42.53	51.71	57.26	6.9594	1.1144	16.0745
♀	6	7.11	9.20	14.21	21.69	26.34	5.0025	1.6233	26.0357
♀	7	10.11	13.04	19.12	27.17	32.05	5.6259	1.3597	26.0357
♀	8	12.75	16.59	23.79	31.96	36.74	6.0880	1.1388	26.0357
♀	9	15.02	19.60	27.67	35.60	40.04	6.3345	0.9819	26.0357
♀	10	17.02	21.99	30.54	38.25	42.41	6.4372	0.8995	26.0357
♀	11	18.60	23.76	32.57	40.26	44.35	6.5368	0.8700	26.0357
♀	12	20.16	25.37	34.28	42.13	46.33	6.6424	0.8780	26.0357
♀	13	22.26	27.28	35.97	44.00	48.38	6.6211	0.9220	26.0357
♀	14	24.35	29.07	37.41	45.55	50.10	6.5212	0.9775	26.0357
♀	15	25.83	30.32	38.33	46.42	50.99	6.3716	1.0101	26.0357
♀	16	26.86	31.16	38.86	46.74	51.22	6.1685	1.0241	26.0357
♀	17	27.36	31.45	38.83	46.48	50.83	5.9452	1.0372	26.0357
♀	18	27.45	31.32	38.34	45.75	50.00	5.7126	1.0568	26.0357

SW_BEST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu
♂	6	60.51	76.51	101.38	122.22	132.19	0.1731	1.7786
♂	7	67.16	83.72	109.95	132.27	143.04	0.1699	1.7232
♂	8	74.09	91.06	118.41	142.02	153.49	0.1659	1.6767
♂	9	82.18	99.01	126.67	150.89	162.75	0.1582	1.6397
♂	10	89.73	106.62	134.77	159.70	171.97	0.1523	1.6098
♂	11	95.50	113.21	142.93	169.41	182.48	0.1521	1.5811
♂	12	100.60	119.50	151.37	179.90	194.03	0.1545	1.5498
♂	13	106.03	126.12	160.23	190.94	206.20	0.1567	1.5126
♂	14	113.05	133.83	169.48	201.91	218.12	0.1558	1.4669
♂	15	122.76	143.25	179.01	212.02	228.65	0.1492	1.4133
♂	16	133.78	153.56	188.68	221.60	238.33	0.1402	1.3550
♂	17	145.04	164.06	198.37	231.00	247.73	0.1314	1.2942
♂	18	156.44	174.70	208.06	240.21	256.82	0.1227	1.2334
♀	6	62.14	77.16	101.28	122.06	132.14	0.1708	1.6675
♀	7	68.92	83.90	108.91	131.14	142.12	0.1677	1.5364
♀	8	75.58	90.56	116.36	139.92	151.72	0.1645	1.4232
♀	9	81.46	96.66	123.37	148.24	160.84	0.1624	1.3399
♀	10	85.83	101.63	129.76	156.23	169.73	0.1636	1.2856
♀	11	89.65	106.02	135.39	163.25	177.52	0.1645	1.2476
♀	12	93.92	110.40	140.23	168.76	183.45	0.1620	1.2110
♀	13	97.62	114.15	144.30	173.39	188.44	0.1599	1.1741
♀	14	100.82	117.34	147.67	177.12	192.42	0.1577	1.1452
♀	15	103.70	120.15	150.44	179.92	195.26	0.1549	1.1345
♀	16	105.96	122.43	152.75	182.23	197.55	0.1525	1.1423
♀	17	107.91	124.45	154.78	184.18	199.44	0.1504	1.1612
♀	18	110.18	126.63	156.71	185.74	200.77	0.1469	1.1842

RB_BEST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	6	-12.86	-9.24	-1.78	6.41	10.76	6.6213	1.1131	1.0166
♂	7	-14.32	-10.50	-2.67	5.80	10.23	6.9740	1.1131	1.0334
♂	8	-15.68	-11.66	-3.43	5.31	9.83	7.3455	1.1131	1.0505
♂	9	-17.04	-12.81	-4.15	4.88	9.48	7.7367	1.1131	1.0679
♂	10	-18.50	-14.03	-4.94	4.39	9.09	8.1488	1.1131	1.0856
♂	11	-19.86	-15.16	-5.60	4.04	8.83	8.5829	1.1131	1.1035
♂	12	-21.14	-16.18	-6.14	3.83	8.71	9.0400	1.1131	1.1218
♂	13	-21.83	-16.61	-6.05	4.25	9.24	9.5216	1.1131	1.1404
♂	14	-21.72	-16.21	-5.12	5.53	10.62	10.0287	1.1131	1.1592
♂	15	-21.19	-15.38	-3.72	7.29	12.48	10.5629	1.1131	1.1784
♂	16	-20.93	-14.81	-2.56	8.82	14.13	11.1256	1.1131	1.1979
♂	17	-21.13	-14.68	-1.81	9.97	15.39	11.7182	1.1131	1.2177
♂	18	-21.43	-14.63	-1.10	11.07	16.61	12.3423	1.1131	1.2379
♀	6	-11.82	-7.33	0.70	8.70	13.14	5.6906	0.9317	0.9356
♀	7	-12.61	-7.87	0.60	8.95	13.55	6.0067	0.9317	0.9438
♀	8	-13.46	-8.46	0.47	9.19	13.96	6.3403	0.9317	0.9520
♀	9	-14.38	-9.11	0.31	9.41	14.35	6.6926	0.9317	0.9602
♀	10	-15.34	-9.77	0.15	9.66	14.78	7.0643	0.9317	0.9686
♀	11	-16.13	-10.25	0.21	10.14	15.45	7.4567	0.9317	0.9770
♀	12	-16.54	-10.33	0.70	11.07	16.57	7.8710	0.9317	0.9855
♀	13	-16.59	-10.03	1.59	12.42	18.13	8.3082	0.9317	0.9941
♀	14	-16.55	-9.63	2.62	13.94	19.85	8.7697	0.9317	1.0027
♀	15	-16.73	-9.42	3.50	15.31	21.44	9.2569	0.9317	1.0114
♀	16	-17.21	-9.50	4.12	16.46	22.82	9.7711	0.9317	1.0202
♀	17	-17.83	-9.69	4.66	17.56	24.15	10.3139	0.9317	1.0291
♀	18	-18.52	-9.92	5.21	18.68	25.52	10.8868	0.9317	1.0380

N_BALANCE

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	6	-4.61	5.66	20.03	32.45	40.10	7.0386	0.7206	0.8105
♂	7	-0.34	10.12	24.70	36.85	44.10	7.1738	0.7206	0.8353
♂	8	3.75	14.41	29.18	41.08	47.97	7.3115	0.7206	0.8608
♂	9	6.98	17.84	32.82	44.47	51.02	7.4519	0.7206	0.8871
♂	10	9.04	20.11	35.30	46.71	52.96	7.5950	0.7206	0.9143
♂	11	9.91	21.18	36.59	47.78	53.73	7.7408	0.7206	0.9422
♂	12	10.04	21.53	37.15	48.13	53.82	7.8894	0.7206	0.9710
♂	13	9.86	21.58	37.42	48.19	53.63	8.0409	0.7206	1.0007
♂	14	9.57	21.52	37.58	48.16	53.37	8.1952	0.7206	1.0312
♂	15	9.75	21.93	38.22	48.62	53.61	8.3526	0.7206	1.0627
♂	16	9.97	22.39	38.90	49.12	53.91	8.5130	0.7206	1.0952
♂	17	9.57	22.24	38.99	49.04	53.64	8.6764	0.7206	1.1287
♂	18	8.79	21.71	38.69	48.58	53.01	8.8430	0.7206	1.1632
♀	6	-4.16	10.20	25.48	36.42	43.80	5.0888	0.5717	0.7250
♀	7	0.94	15.29	30.57	41.56	48.99	5.0854	0.5717	0.7226
♀	8	4.93	19.26	34.55	45.58	53.08	5.0820	0.5717	0.7203
♀	9	7.51	21.84	37.13	48.21	55.76	5.0786	0.5717	0.7179
♀	10	9.04	23.36	38.65	49.77	57.39	5.0752	0.5717	0.7156
♀	11	9.74	24.06	39.35	50.52	58.20	5.0718	0.5717	0.7132
♀	12	10.23	24.54	39.83	51.05	58.79	5.0684	0.5717	0.7109
♀	13	10.76	25.06	40.35	51.62	59.42	5.0650	0.5717	0.7086
♀	14	11.30	25.59	40.88	52.20	60.06	5.0616	0.5717	0.7063
♀	15	11.77	26.06	41.35	52.71	60.64	5.0582	0.5717	0.7039
♀	16	12.50	26.78	42.07	53.49	61.48	5.0548	0.5717	0.7016
♀	17	13.02	27.29	42.58	54.04	62.10	5.0514	0.5717	0.6993
♀	18	13.04	27.30	42.59	54.11	62.23	5.0481	0.5717	0.6971

N_PUSHUPS

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	6	2.63	4.82	8.77	12.67	14.81	3.0182	0.9854	42.8494
♂	7	4.42	6.72	10.89	15.01	17.26	3.1827	0.9854	42.8494
♂	8	5.93	8.35	12.72	17.03	19.38	3.3337	0.9854	42.8494
♂	9	6.92	9.42	13.93	18.38	20.82	3.4442	0.9854	42.8494
♂	10	7.56	10.11	14.72	19.26	21.75	3.5156	0.9854	42.8494
♂	11	7.85	10.43	15.10	19.71	22.24	3.5663	0.9854	42.8494
♂	12	7.86	10.47	15.20	19.87	22.42	3.6085	0.9854	42.8494
♂	13	8.12	10.75	15.52	20.22	22.79	3.6365	0.9854	42.8494
♂	14	8.87	11.51	16.28	20.99	23.56	3.6408	0.9854	42.8494
♂	15	9.76	12.39	17.15	21.85	24.42	3.6322	0.9854	42.8494
♂	16	10.60	13.22	17.97	22.65	25.21	3.6225	0.9854	42.8494
♂	17	11.57	14.19	18.92	23.59	26.15	3.6128	0.9854	42.8494
♂	18	12.73	15.34	20.06	24.72	27.26	3.6017	0.9854	42.8494
♀	6	3.27	5.13	8.70	12.49	14.56	2.8501	1.0666	150.5359
♀	7	5.28	7.25	11.01	15.01	17.19	3.0068	1.0666	150.5359
♀	8	6.78	8.85	12.80	17.00	19.29	3.1566	1.0666	150.5359
♀	9	7.58	9.72	13.82	18.18	20.56	3.2763	1.0666	150.5359
♀	10	7.93	10.13	14.32	18.78	21.21	3.3501	1.0666	150.5359
♀	11	8.04	10.25	14.48	18.97	21.42	3.3767	1.0666	150.5359
♀	12	8.12	10.32	14.53	19.01	21.45	3.3644	1.0666	150.5359
♀	13	8.36	10.54	14.71	19.14	21.56	3.3328	1.0666	150.5359
♀	14	8.69	10.85	14.99	19.38	21.78	3.3047	1.0666	150.5359
♀	15	8.87	11.02	15.14	19.52	21.90	3.2894	1.0666	150.5359
♀	16	8.85	11.01	15.14	19.53	21.93	3.3012	1.0666	150.5359
♀	17	8.72	10.91	15.09	19.53	21.95	3.3387	1.0666	150.5359
♀	18	8.68	10.90	15.13	19.63	22.08	3.3813	1.0666	150.5359

SHH_BEST

Explanation:The following table shows the percentiles. Perc_02_5 for example means that only 2.5% of the population in the respective group have a value smaller than shown in this column.

sex	age	perc_02_5	perc_10_0	perc_50_0	perc_90_0	perc_97_5	sigma	nu	tau
♂	6	8.09	10.47	15.26	21.72	25.84	4.5365	1.3709	15.2987
♂	7	9.91	13.15	19.33	27.18	32.12	5.6465	1.2749	15.2987
♂	8	11.49	15.92	23.80	32.62	38.00	6.6949	1.1180	15.2987
♂	9	13.84	19.21	28.20	36.82	41.81	7.0507	0.9595	15.2987
♂	10	16.93	22.67	32.00	40.03	44.46	6.9626	0.8627	15.2987
♂	11	18.84	24.88	34.61	42.64	46.98	7.1316	0.8266	15.2987
♂	12	19.96	26.26	36.43	44.91	49.52	7.4877	0.8350	15.2987
♂	13	22.04	28.19	38.21	46.92	51.75	7.5111	0.8704	15.2987
♂	14	25.29	30.87	40.13	48.71	53.61	7.1456	0.9287	15.2987
♂	15	28.41	33.42	41.92	50.36	55.31	6.7794	0.9929	15.2987
♂	16	30.34	34.97	43.00	51.55	56.67	6.6405	1.0609	15.2987
♂	17	31.16	35.57	43.47	52.46	57.95	6.7702	1.1341	15.2987
♂	18	31.30	35.57	43.52	53.23	59.28	7.0964	1.2226	15.2987
♀	6	8.70	10.40	15.48	23.84	29.15	5.4136	2.0160	25.0021
♀	7	11.50	14.30	20.39	28.87	34.09	5.8195	1.4550	25.0021
♀	8	14.06	18.04	25.37	33.47	38.19	6.1181	1.1071	25.0021
♀	9	16.42	21.17	29.39	37.03	41.23	6.2864	0.9291	25.0021
♀	10	18.51	23.57	32.16	39.64	43.63	6.3762	0.8683	25.0021
♀	11	20.19	25.32	34.04	41.63	45.66	6.4667	0.8666	25.0021
♀	12	21.86	26.91	35.60	43.46	47.74	6.5594	0.9051	25.0021
♀	13	24.11	28.84	37.20	45.48	50.14	6.5901	0.9909	25.0021
♀	14	26.25	30.62	38.58	47.18	52.16	6.5621	1.0806	25.0021
♀	15	27.58	31.79	39.54	48.10	53.08	6.4633	1.1062	25.0021
♀	16	28.48	32.57	40.10	48.43	53.29	6.2884	1.1090	25.0021
♀	17	28.91	32.76	39.94	48.07	52.83	6.0697	1.1356	25.0021
♀	18	28.94	32.47	39.21	47.18	51.89	5.8343	1.1888	25.0021