This is because people decrease in stature with age and older generations were shorter. By including the elderly, average height is lowered. Note that data for the entire adult age range was used when available. For the U.S., these stats coincide with the most recent from the Centers for Disease Control. The country specific data came from Wikipedia. Note that height for ages 0 to 2 is actually measured as length. Hence country selection is disabled for all age selections but ‘Adult’.Īll age specific data came from the Centers for Disease Control, except for ages 0 to 2, which came from the World Health Organization. Unfortunately, age specific data for all these countries is hard to come by. This is important as average height varies considerably from one country to the next. Included countries are the U.S., Canada, most European countries, and over one hundred in total.
The height percentile calculator can also factor in country. This is important as both average height and height distribution change with age. Age ranges include newborn, baby, toddler, child, teenager, and adults right up to the elderly. The above height percentile calculator has some extras compared to most others out there. This leads to error particularly for extreme short or tall stature. It also assumes a perfectly normal height distribution, whereas human height distribution merely approximates this. For example, it does not take into account ethnicity. However, it is important to note that the above height percentile calculator is based on statistical averaging and there are many reasons why it may not provide relevant data for an individual. Percentiles are also an alternative to height calculators for predicting adult height as percentiles will generally remain similar into adulthood.
Specialists that can help with this include endocrinologists, pediatricians, and geneticists. This affords an opportunity to look for an underlying cause, which could be a height related disorder. Percentiles are useful for many purposes including recognizing when an individual is exceptionally short or tall. Besides the above calculator, percentiles can also come from growth charts. So if someone has a height percentile of 75, then 75% of the relevant population is shorter. In the case of height percentiles, the observation is height and the group is people that are shorter. Percentiles are used in statistics to indicate the percentage of observations that fall in a group.
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