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