Inequality of calorie consumption worldwide by country 2021

Four countries see a higher spread in caloric intake than others. Haiti, Chad, Yemen, had a coefficient of variation of habitual caloric consumption distribution of 0.41. This denotes higher differences in caloric consumption per person than in any other country or countries on the globe. Japan and the United States had the smallest variation in caloric consumption.

Inequality in per capita calorie intake worldwide in 2021, by country (in coefficient of variation of habitual caloric consumption distribution)

Characteristic	Coefficient for distribution (real number)
Afghanistan	0.41
Yemen	0.41
Haiti	0.41
Democratic Republic of the Congo	0.41
Burkina Faso	0.41
Chad	0.41
Nicaragua	0.39
Syrian Arab Republic	0.39
Malawi	0.39
Mali	0.39
Libya	0.39
Ethiopia	0.38
United Republic of Tanzania	0.37
Botswana	0.37
Rwanda	0.37
Palestine	0.37
Honduras	0.37
Uganda	0.36
Angola	0.36
Morocco	0.36
Guatemala	0.35
Congo	0.35
Somalia	0.34
Sierra Leone	0.34
Togo	0.34
Iraq	0.33
Egypt	0.33
Gabon	0.33
Mauritania	0.33
Guinea	0.33
Namibia	0.33
Pakistan	0.33
Lebanon	0.32
Vanuatu	0.32
Tunisia	0.32
Zimbabwe	0.31
Timor-Leste	0.31
Mexico	0.31
Colombia	0.31
Nigeria	0.31
Lesotho	0.31
Albania	0.29
Sudan	0.29
Kiribati	0.29
Jordan	0.29
Argentina	0.29
Viet Nam	0.29
Ghana	0.29
Central African Republic	0.29
Panama	0.29
Solomon Islands	0.29
Mozambique	0.29
Nepal	0.29
Bolivia (Plurinational State of)	0.29
South Sudan	0.29
Thailand	0.28
Indonesia	0.28
Peru	0.28
Fiji	0.28
Madagascar	0.28
Côte d'Ivoire	0.28
Burundi	0.28
Kenya	0.28
Mauritius	0.28
New Caledonia	0.27
Trinidad and Tobago	0.27
Cameroon	0.27
Ecuador	0.27
Paraguay	0.27
Cambodia	0.27
Papua New Guinea	0.27
Saudi Arabia	0.27
Philippines	0.27
Samoa	0.27
Dominican Republic	0.27
South Africa	0.26
Uzbekistan	0.26
Georgia	0.26
Bangladesh	0.26
Grenada	0.26
Senegal	0.26
Democratic People's Republic of Korea	0.26
Kuwait	0.26
El Salvador	0.26
Saint Kitts and Nevis	0.26
Oman	0.26
Eritrea	0.26
Maldives	0.25
Cabo Verde	0.25
Iran (Islamic Republic of)	0.25
Belize	0.25
Eswatini	0.25
Kazakhstan	0.25
Mongolia	0.25
Türkiye	0.25
Guyana	0.25
Myanmar	0.25
Suriname	0.24
Jamaica	0.24
Turkmenistan	0.24
Antigua and Barbuda	0.24
Saint Vincent and the Grenadines	0.24
Bermuda	0.24
Dominica	0.24
Seychelles	0.23
Montenegro	0.23
North Macedonia	0.23
Sri Lanka	0.23
Kyrgyzstan	0.23
Venezuela (Bolivarian Republic of)	0.23
Costa Rica	0.23
Ukraine	0.23
Bosnia and Herzegovina	0.23
Cuba	0.23
Chile	0.23
French Polynesia	0.23
Armenia	0.23
United Arab Emirates	0.23
Sao Tome and Principe	0.22
Hungary	0.22
Russian Federation	0.22
Saint Lucia	0.22
China, Taiwan Province of	0.22
Italy	0.22
Australia	0.22
Serbia	0.22
Lao People's Democratic Republic	0.22
Barbados	0.22
Latvia	0.22
China, Hong Kong SAR	0.22
Lithuania	0.22
Republic of Korea	0.22
Uruguay	0.22
Finland	0.21
Estonia	0.21
Czechia	0.21
Denmark	0.21
Austria	0.21
Croatia	0.21
Spain	0.21
Romania	0.21
Israel	0.21
Malaysia	0.21
United Kingdom of Great Britain and Northern Ireland	0.21
Bahamas	0.21
Netherlands	0.21
Azerbaijan	0.21
Germany	0.21
New Zealand	0.21
Malta	0.21
Canada	0.21
Slovenia	0.21
Slovakia	0.21
Brunei Darussalam	0.21
Poland	0.21
Greece	0.21
Ireland	0.19
Japan	0.18
Cyprus	0.18
China, mainland	0.18
United States of America	0.17
Liberia	0.04
Benin	0.03
Brazil	0.03
India	0.03
Djibouti	0.03
China, Macao SAR	0.03
Algeria	0.03
Gambia	0.03
Norway	0.02
Portugal	0.02
Belarus	0.02
France	0.02
Bulgaria	0.02
Sweden	0.02
Belgium	0.02
Luxembourg	0.02
Iceland	0.02
Switzerland	0.02

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Release date

August 2022

More information

Region

Worldwide

Survey time period

2021

Special properties

Coefficient of variation of habitual caloric consumption distribution (real number)

Supplementary notes

Values for 2021 for Niger and Moldova were not provided by the source.

*The source notes: "For many countries, the coefficient of variation, taken as an indicator of the dispersion of the food consumption distribution within the general population, is derived from available household surveys that collect data on both food consumption/acquisition and income/expenditure. When appropriate data for directly estimating the variability of food consumption are not readily available, indirect procedures are used by FAO to estimate a suitable value for this parameter."

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