Inequality in per capita calorie intake by country

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.

Countries reporting
181
Highest
0.41
Haiti
Lowest
0.17
United States
Median
0.26
Years covered
21
2000–2020
Data points
3,885

What the numbers show

Inequality in per capita calorie intake is currently reported for 181 countries. The highest value is 0.41 in Haiti; the lowest is 0.17 in United States.

The median across all reporting countries is 0.26, and the mean is 0.266.

The gap between the highest and lowest reporting country is a factor of about 2.

Over the past decade 80 countries rose and 15 fell. The largest increase was in Yemen (up 51.9%), and the largest decrease in Moldova (down 16.7%).

Inequality in per capita calorie intake: full country ranking

#Country LatestYear 10-year changeTrend
1 Haiti 0.41 2020 down 16.3% flat
1 Liberia 0.41 2020 unchanged rising
1 Niger 0.41 2020 up 28.1% rising
1 Yemen 0.41 2020 up 51.9% rising
5 Burkina Faso 0.4 2020 up 17.6% rising
5 Cote d'Ivoire 0.4 2020 unchanged flat
5 Iraq 0.4 2020 up 5.3% rising
5 Chad 0.4 2020 up 11.1% rising
9 Mali 0.39 2020 up 34.5% rising
9 Nigeria 0.39 2020 up 39.3% rising
11 Tanzania 0.38 2020 up 5.6% rising
12 Afghanistan 0.37 2020 up 48.0% rising
12 Palestine 0.37 2020 unchanged rising
14 Malawi 0.36 2020 up 9.1% rising
14 Zambia 0.36 2020 up 2.9% flat
16 Angola 0.35 2020 up 16.7% rising
16 Botswana 0.35 2020 up 16.7% rising
16 Guatemala 0.35 2020 up 12.9% rising
16 Rwanda 0.35 2020 up 6.1% rising
20 Guinea 0.34 2020 up 6.2% flat
20 Nicaragua 0.34 2020 up 3.0% flat
20 Somalia 0.34 2020 up 13.3% flat
24 Morocco 0.33 2020 up 6.5% flat
24 Namibia 0.33 2020 up 13.8% rising
24 Sierra Leone 0.33 2020 unchanged falling
27 Egypt 0.32 2020 unchanged flat
27 Ethiopia 0.32 2020 up 18.5% flat
27 Mauritania 0.32 2020 up 6.7% rising
27 Togo 0.32 2020 unchanged flat
27 Uganda 0.32 2020 up 6.7% falling
32 Colombia 0.31 2020 up 3.3% falling
32 Gabon 0.31 2020 unchanged rising
32 Honduras 0.31 2020 unchanged flat
32 Lebanon 0.31 2020 up 24.0% rising
32 Philippines 0.31 2020 up 6.9% flat
32 East Timor 0.31 2020 unchanged flat
32 Tunisia 0.31 2020 up 6.9% flat
32 Zimbabwe 0.31 2020 unchanged flat
40 Congo 0.3 2020 up 15.4% flat
40 Dominican Republic 0.3 2020 up 25.0% rising
40 Ghana 0.3 2020 up 3.4% flat
40 Gambia 0.3 2020 up 7.1% flat
40 Libya 0.3 2020 up 20.0% rising
40 Macao 0.3 2020 unchanged flat
40 Mauritius 0.3 2020 up 15.4% rising
40 Tajikistan 0.3 2020 up 7.1% rising
49 Albania 0.29 2020 unchanged rising
49 Argentina 0.29 2020 up 16.0% rising
49 Central African Republic 0.29 2020 unchanged flat
49 Democratic Republic of Congo 0.29 2020 unchanged flat
49 Algeria 0.29 2020 down 3.3% flat
49 Georgia 0.29 2020 up 16.0% flat
49 India 0.29 2020 up 16.0% flat
49 Kiribati 0.29 2020 up 3.6% rising
49 Mozambique 0.29 2020 down 12.1% falling
49 Peru 0.29 2020 up 20.8% flat
49 Paraguay 0.29 2020 up 20.8% flat
49 Solomon Islands 0.29 2020 up 3.6% rising
49 South Sudan 0.29 2020 down 3.3% rising
49 Vietnam 0.29 2020 up 3.6% rising
63 Burundi 0.28 2020 unchanged flat
63 Benin 0.28 2020 unchanged flat
63 Guinea-Bissau 0.28 2020 unchanged flat
63 Grenada 0.28 2020 unchanged flat
63 Indonesia 0.28 2020 unchanged flat
63 Jordan 0.28 2020 up 7.7% flat
63 Kenya 0.28 2020 up 21.7% flat
63 Madagascar 0.28 2020 up 3.7% flat
63 Myanmar 0.28 2020 unchanged flat
63 Nepal 0.28 2020 up 7.7% falling
63 Saudi Arabia 0.28 2020 unchanged flat
63 Sudan 0.28 2020 up 3.7% flat
63 Vanuatu 0.28 2020 unchanged flat
77 Brazil 0.27 2020 unchanged falling
77 Ecuador 0.27 2020 up 12.5% rising
77 Iran 0.27 2020 unchanged flat
77 Sri Lanka 0.27 2020 up 12.5% flat
77 Lesotho 0.27 2020 unchanged flat
77 New Caledonia 0.27 2020 unchanged flat
77 Pakistan 0.27 2020 up 8.0% falling
77 Papua New Guinea 0.27 2020 unchanged flat
77 Trinidad and Tobago 0.27 2020 unchanged flat
77 Samoa 0.27 2020 up 8.0% rising
77 South Africa 0.27 2020 up 17.4% rising
88 Comoros 0.26 2020 unchanged flat
88 Eritrea 0.26 2020 unchanged flat
88 Saint Kitts and Nevis 0.26 2020 unchanged flat
88 Kuwait 0.26 2020 unchanged flat
88 Oman 0.26 2020 unchanged flat
88 North Korea 0.26 2020 unchanged rising
88 El Salvador 0.26 2020 unchanged flat
88 Eswatini 0.26 2020 up 4.0% flat
88 Syria 0.26 2020 unchanged flat
88 Thailand 0.26 2020 up 4.0% falling
98 Bangladesh 0.25 2020 down 3.8% falling
98 Belize 0.25 2020 unchanged flat
98 Cape Verde 0.25 2020 down 3.8% flat
98 Guyana 0.25 2020 unchanged flat
98 Kazakhstan 0.25 2020 unchanged flat
98 Kyrgyzstan 0.25 2020 unchanged flat
98 Maldives 0.25 2020 unchanged flat
98 North Macedonia 0.25 2020 up 13.6% flat
98 Uzbekistan 0.25 2020 up 8.7% rising
107 United Arab Emirates 0.24 2020 up 4.3% rising
107 Antigua and Barbuda 0.24 2020 unchanged flat
107 Bermuda 0.24 2020 unchanged flat
107 Bolivia 0.24 2020 unchanged flat
107 Chile 0.24 2020 up 9.1% flat
107 Cameroon 0.24 2020 unchanged flat
107 Dominica 0.24 2020 unchanged flat
107 Fiji 0.24 2020 unchanged flat
107 Jamaica 0.24 2020 up 4.3% flat
107 Cambodia 0.24 2020 down 7.7% falling
107 Mongolia 0.24 2020 down 4.0% falling
107 Senegal 0.24 2020 unchanged flat
107 Suriname 0.24 2020 unchanged flat
107 Turkmenistan 0.24 2020 unchanged rising
107 Saint Vincent and the Grenadines 0.24 2020 unchanged flat
107 Venezuela 0.24 2020 up 20.0% flat
123 Armenia 0.23 2020 up 4.5% falling
123 Costa Rica 0.23 2020 up 4.5% flat
123 Cuba 0.23 2020 unchanged flat
123 Laos 0.23 2020 unchanged falling
123 Lithuania 0.23 2020 up 4.5% flat
123 French Polynesia 0.23 2020 unchanged rising
123 Russia 0.23 2020 up 4.5% flat
123 Seychelles 0.23 2020 unchanged flat
123 Turkey 0.23 2020 up 4.5% falling
123 Ukraine 0.23 2020 up 9.5% flat
133 Bosnia and Herzegovina 0.22 2020 up 4.8% flat
133 Barbados 0.22 2020 unchanged flat
133 Croatia 0.22 2020 up 4.8% flat
133 South Korea 0.22 2020 unchanged flat
133 Saint Lucia 0.22 2020 down 4.3% falling
133 Latvia 0.22 2020 unchanged flat
133 Montenegro 0.22 2020 up 4.8% flat
133 Serbia 0.22 2020 up 10.0% flat
133 Sao Tome and Principe 0.22 2020 unchanged falling
133 Uruguay 0.22 2020 up 4.8% flat
133 Taiwan 0.22 2020 down 4.3% falling
145 Australia 0.21 2020 up 5.0% flat
145 Azerbaijan 0.21 2020 unchanged falling
145 Bulgaria 0.21 2020 up 10.5% flat
145 Bahamas 0.21 2020 unchanged flat
145 Brunei 0.21 2020 unchanged flat
145 Czechia 0.21 2020 up 5.0% flat
145 Denmark 0.21 2020 up 5.0% flat
145 Spain 0.21 2020 unchanged flat
145 Estonia 0.21 2020 unchanged flat
145 Greece 0.21 2020 unchanged flat
145 Hungary 0.21 2020 unchanged flat
145 Ireland 0.21 2020 unchanged flat
145 Israel 0.21 2020 up 5.0% flat
145 Malta 0.21 2020 up 5.0% flat
145 Malaysia 0.21 2020 down 4.5% flat
145 New Zealand 0.21 2020 up 5.0% flat
145 Poland 0.21 2020 unchanged flat
145 Portugal 0.21 2020 unchanged flat
145 Slovakia 0.21 2020 up 5.0% flat
145 Sweden 0.21 2020 up 5.0% flat
165 Austria 0.2 2020 unchanged flat
165 Belgium 0.2 2020 unchanged flat
165 Belarus 0.2 2020 down 4.8% flat
165 Canada 0.2 2020 unchanged flat
165 Switzerland 0.2 2020 unchanged flat
165 Germany 0.2 2020 unchanged flat
165 Finland 0.2 2020 unchanged flat
165 France 0.2 2020 unchanged flat
165 United Kingdom 0.2 2020 unchanged flat
165 Iceland 0.2 2020 unchanged flat
165 Italy 0.2 2020 unchanged flat
165 Luxembourg 0.2 2020 unchanged flat
165 Moldova 0.2 2020 down 16.7% falling
165 Netherlands 0.2 2020 unchanged flat
165 Norway 0.2 2020 unchanged flat
165 Romania 0.2 2020 down 4.8% flat
165 Slovenia 0.2 2020 unchanged flat
182 China 0.19 2020 down 5.0% falling
183 Cyprus 0.18 2020 unchanged flat
184 Japan 0.17 2020 unchanged flat
184 United States 0.17 2020 unchanged flat

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.