Comoros vs Kuwait: Inequality in per capita calorie intake

Comoros
0.26
in 2020
Kuwait
0.26
in 2020
Comoros rank
88th
Kuwait rank
88th

Inequality in per capita calorie intake over time

  • Comoros
  • Kuwait
00.10.20.3200020102020

How they compare

Comoros currently reports 0.26 against 0.26 in Kuwait, a difference of 0.

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

Comoros ranks 88th and Kuwait ranks 88th of 185 countries.

Head to head by decade

Decade Comoros Kuwait Difference Ahead
2000s 0.26 0.26 0 —
2010s 0.26 0.26 0 —
2020s 0.26 0.26 0 —

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inequality in per capita calorie intake, Comoros or Kuwait?
Comoros, at 0.26 against 0.26 in Kuwait as of 2020.
What is the difference in inequality in per capita calorie intake between Comoros and Kuwait?
0, with Comoros ahead.
How many years of comparable data are there for Comoros and Kuwait?
21 years are reported by both, from 2000 to 2020.
How do Comoros and Kuwait rank globally for inequality in per capita calorie intake?
Comoros ranks 88th and Kuwait ranks 88th 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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Comoros vs Kuwait: Inequality in per capita calorie intake. Statizoid, drawing on FAO (2017) – processed by Our World in Data. Retrieved 29 September 2026, from https://reference.statizoid.com/compare/coefficient-of-variation-cv-in-per-capita-caloric-intake/comoros/kuwait/

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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.