Ecuador vs Samoa: Inequality in per capita calorie intake

Ecuador
0.27
in 2020
Samoa
0.27
in 2020
Ecuador rank
77th
Samoa rank
77th

Inequality in per capita calorie intake over time

  • Ecuador
  • Samoa
00.10.20.3200020102020

How they compare

Ecuador currently reports 0.27 against 0.27 in Samoa, a difference of 0.

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

Ecuador ranks 77th and Samoa ranks 77th of 185 countries.

Samoa has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Ecuador Samoa Difference Ahead
2000s 0.235 0.24 0.005 Samoa
2010s 0.242 0.262 0.02 Samoa
2020s 0.27 0.27 0 —

Averages of every year both report within each decade.

Frequently asked questions

Which has higher inequality in per capita calorie intake, Ecuador or Samoa?
Ecuador, at 0.27 against 0.27 in Samoa as of 2020.
What is the difference in inequality in per capita calorie intake between Ecuador and Samoa?
0, with Ecuador ahead.
How many years of comparable data are there for Ecuador and Samoa?
21 years are reported by both, from 2000 to 2020.
How do Ecuador and Samoa rank globally for inequality in per capita calorie intake?
Ecuador ranks 77th and Samoa ranks 77th 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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Ecuador vs Samoa: 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/ecuador/samoa/

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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.