Kyrgyzstan vs Maldives: Inequality in per capita calorie intake

Kyrgyzstan
0.25
in 2020
Maldives
0.25
in 2020
Kyrgyzstan rank
98th
Maldives rank
98th

Inequality in per capita calorie intake over time

  • Kyrgyzstan
  • Maldives
00.050.10.150.20.25200020102020

How they compare

Kyrgyzstan currently reports 0.25 against 0.25 in Maldives, a difference of 0.

Across all 21 years both countries report, Maldives has been ahead every year.

Kyrgyzstan ranks 98th and Maldives ranks 98th of 185 countries.

Head to head by decade

Decade Kyrgyzstan Maldives Difference Ahead
2000s 0.25 0.25 0
2010s 0.25 0.25 0
2020s 0.25 0.25 0

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inequality in per capita calorie intake, Kyrgyzstan or Maldives?
Kyrgyzstan, at 0.25 against 0.25 in Maldives as of 2020.
What is the difference in inequality in per capita calorie intake between Kyrgyzstan and Maldives?
0, with Kyrgyzstan ahead.
How many years of comparable data are there for Kyrgyzstan and Maldives?
21 years are reported by both, from 2000 to 2020.
How do Kyrgyzstan and Maldives rank globally for inequality in per capita calorie intake?
Kyrgyzstan ranks 98th and Maldives ranks 98th of 185 countries.
Where does this data come from?
FAO (2017) – processed by Our World in Data, published as Inequality in per capita calorie intake. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Kyrgyzstan vs Maldives: Inequality in per capita calorie intake. Statizoid, drawing on FAO (2017) – processed by Our World in Data. Retrieved 29 August 2026, from https://reference.statizoid.com/compare/coefficient-of-variation-cv-in-per-capita-caloric-intake/kyrgyz-republic/maldives/

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About this data

Indicator
Inequality in per capita calorie intake
Source
FAO (2017) – processed by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
185 places, 3,885 data points, 2000–2020
Last refreshed

The inequality in dietary calorie intake is measured as the coefficient of variation in energy intake. It represents the spread of intakes around the mean. Higher values represent larger levels of dietary inequality.