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175 cm (5 ft 9 in) 164 cm (5 ft 4 + 1 ⁄ 2 in) 1.07: 18+ 100.0%: Measured: 2020 [208] United Arab Emirates: 173.4 cm (5 ft 8 + 1 ⁄ 2 in) 156.4 cm (5 ft 1 + 1 ⁄ 2 in) 1.11 — — — — [209] United Kingdom – England: 175.3 cm (5 ft 9 in) 161.9 cm (5 ft 3 + 1 ⁄ 2 in) 1.08: 16+ (N= m:3,154 f:3,956) 100.0% [210] Measured: 2012 [5 ...
The median (50th percentile) growth curves for males and females 0−20 years in the United States. The study of height is known as auxology. [11]Growth has long been recognized as a measure of the health of individuals, hence part of the reasoning for the use of growth charts.
By doing this, doctors can track a child's growth over time and monitor how a child is growing in relation to other children. There are different charts for boys and girls because their growth rates and patterns differ. For both boys and girls there are two sets of charts: one for infants ages 0 to 36 months and another for ages 2 and above.
In the most extreme population comparisons, for example, the average female height in Bolivia is 142.2 cm (4 ft 8.0 in) while the average male height in the Dinaric Alps is 185.6 cm (6 ft 1.1 in), an average difference of 43.4 cm (1 ft 5.1 in).
English: The map above shows the average (mean) height of a female 19-year-old in 2019 in each country and territory in the world for which data is available. The source of the data is a pooled analysis of 2,181 measurement-based scientific studies covering over 65 Million participants from 1985 to 2019.
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Genetic diseases such as Turner's syndrome, Prader Willi, and Noonan syndrome can be marked by a less than 5th percentile height and weight since birth. [9] [10] [11] Other genetic disorders such as Marfan's syndrome and Klinefelter's syndrome are typically indicated by a height above the 90th percentile. [12] [13]
The 25th percentile is also known as the first quartile (Q 1), the 50th percentile as the median or second quartile (Q 2), and the 75th percentile as the third quartile (Q 3). For example, the 50th percentile (median) is the score below (or at or below , depending on the definition) which 50% of the scores in the distribution are found.