Cambodia vs Saint Vincent and the Grenadines: Inequality in per capita calorie intake
Cambodia
0.24
in 2020
Saint Vincent and the Grenadines
0.24
in 2020
Cambodia rank
107th
Saint Vincent and the Grenadines rank
107th
Inequality in per capita calorie intake over time
- Cambodia
- Saint Vincent and the Grenadines
How they compare
Cambodia currently reports 0.24 against 0.24 in Saint Vincent and the Grenadines, a difference of 0.
The two have swapped places 1 time across 21 shared years of data; in 2000 it was Cambodia ahead.
Cambodia ranks 107th and Saint Vincent and the Grenadines ranks 107th of 185 countries.
Cambodia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Cambodia | Saint Vincent and the Grenadines | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.263 | 0.24 | 0.023 | Cambodia |
| 2010s | 0.256 | 0.24 | 0.016 | Cambodia |
| 2020s | 0.24 | 0.24 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher inequality in per capita calorie intake, Cambodia or Saint Vincent and the Grenadines?
- Cambodia, at 0.24 against 0.24 in Saint Vincent and the Grenadines as of 2020.
- What is the difference in inequality in per capita calorie intake between Cambodia and Saint Vincent and the Grenadines?
- 0, with Cambodia ahead.
- How many years of comparable data are there for Cambodia and Saint Vincent and the Grenadines?
- 21 years are reported by both, from 2000 to 2020.
- How do Cambodia and Saint Vincent and the Grenadines rank globally for inequality in per capita calorie intake?
- Cambodia ranks 107th and Saint Vincent and the Grenadines ranks 107th 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.
Individual pages
About this data
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.