Enter your data in 1000-meter run and tap "Check Ranking" button to display the ranking and the distribution. If you do not know the exact data in 1000-meter run, approximate values are acceptable. If you tap "View without Your Data" button, you can display only the distribution. You can compare the data of world record holders or entertainers, checking the check boxes in "Compared Data".

Noah Ngeny He is the world record holder in the 1000-meter run. Wikipedia page for Noah Ngeny Svetlana Masterkova She is a Russian former middle distance runner and current women's world record holder for the mile and the kilometer. Wikipedia page for Svetlana Masterkova
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The above results are estimators of ranking based on statistical data, and the accuracy is not guaranteed. The original data and the assumptions of each data are listed below.

Mean and standard deviation were obtained from original statistics data, and the distribution for each age group and sex was derived assuming a normal distribution. Then, the distribution of ages 12-19 was obtained as a mixture distribution that is weighted by population of each age group and sex.

Mean and standard deviation were obtained from original statistics data, and the distribution was derived assuming a normal distribution.

Mean and standard deviation were obtained from original statistics data, and the distribution was derived assuming a normal distribution.

Mean and standard deviation were obtained from original statistics data, and the distribution was derived assuming a normal distribution.

Mean and standard deviation were obtained from original statistics data, and the distribution was derived assuming a normal distribution.

Mean and standard deviation were obtained from original statistics data, and the distribution was derived assuming a normal distribution.

Mean and standard deviation were obtained from original statistics data, and the distribution was derived assuming a normal distribution.

Mean and standard deviation were obtained from original statistics data, and the distribution was derived assuming a normal distribution.

Mean and standard deviation were obtained from original statistics data, and the distribution was derived assuming a normal distribution.

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