Cereals, other — Food by country

A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...

Countries reporting
182
Highest
6,095 1000 t
Ethiopia
Lowest
0 1000 t
Micronesia (Federated States of)
Median
4 1000 t
Years covered
14
2010–2023
Data points
2,893

What the numbers show

Cereals, other — Food is currently reported for 182 countries. The highest value is 6,095 1000 t in Ethiopia; the lowest is 0 1000 t in Micronesia (Federated States of).

The median across all reporting countries is 4 1000 t, and the mean is 61.87 1000 t.

Over the past decade 64 countries rose and 46 fell. The largest increase was in Belgium (up 5,900.0%), and the largest decrease in Angola (down 100.0%).

Cereals, other — Food: full country ranking

#Country LatestYear 10-year changeTrend
1 Ethiopia 6,095 1000 t 2023 up 54.0% rising
2 Netherlands (Kingdom of the) 699 1000 t 2023 up 294.9% volatile
3 Russian Federation 555 1000 t 2023 up 13.7% rising
4 China 512 1000 t 2023 up 18.5% rising
5 China, mainland 483 1000 t 2023 up 22.0% rising
6 Liberia 213 1000 t 2023 volatile
7 Ukraine 154 1000 t 2023 down 11.5% falling
8 Guinea 129 1000 t 2023 up 11.2% rising
8 Poland 129 1000 t 2023 up 43.3% rising
10 Kazakhstan 126 1000 t 2023 up 96.9% rising
11 Mexico 122 1000 t 2023 down 15.3% rising
12 Brazil 115 1000 t 2023 down 0.9% falling
13 Malaysia 92 1000 t 2023 up 5.7% rising
14 Italy 85 1000 t 2023 down 13.3% rising
15 Argentina 73 1000 t 2023 up 37.7% rising
16 Lao People's Democratic Republic 72 1000 t 2023 up 16.1% falling
17 Nigeria 69 1000 t 2023 up 1.5% rising
18 Belgium 60 1000 t 2023 up 5,900.0% volatile
19 Saudi Arabia 59 1000 t 2023 up 13.5% volatile
20 Uganda 54 1000 t 2023 up 80.0% rising
21 Australia and New Zealand 52 1000 t 2023 up 57.6% rising
22 United Republic of Tanzania 51 1000 t 2023 up 155.0% rising
23 Iraq 47 1000 t 2023 volatile
24 Chile 46 1000 t 2023 up 119.0% volatile
24 Thailand 46 1000 t 2023 up 31.4% rising
24 Caribbean 46 1000 t 2023 up 411.1% volatile
24 United Kingdom of Great Britain and Northern Ireland 46 1000 t 2023 up 228.6% volatile
28 Ireland 42 1000 t 2023 up 1,300.0% volatile
29 Peru 41 1000 t 2023 down 2.4% rising
30 Georgia 39 1000 t 2023 up 178.6% volatile
31 France 38 1000 t 2023 up 280.0% rising
32 Serbia 37 1000 t 2023 up 23.3% rising
33 El Salvador 32 1000 t 2023 up 255.6% volatile
34 Australia 28 1000 t 2023 up 47.4% rising
34 Bolivia (Plurinational State of) 28 1000 t 2023 up 16.7% rising
36 Guatemala 27 1000 t 2023 up 1,250.0% volatile
37 Canada 26 1000 t 2023 down 49.0% volatile
37 Democratic Republic of the Congo 26 1000 t 2023 up 766.7% volatile
39 Republic of Korea 25 1000 t 2023 up 78.6% rising
40 New Zealand 24 1000 t 2023 up 71.4% rising
40 Uzbekistan 24 1000 t 2023 up 140.0% rising
40 Yemen 24 1000 t 2023 volatile
43 Pakistan 23 1000 t 2023 down 43.9% volatile
44 Cyprus 22 1000 t 2023 volatile
45 Côte d'Ivoire 19 1000 t 2023 up 18.8% rising
46 Germany 18 1000 t 2023 down 57.1% volatile
46 Melanesia 18 1000 t 2023 up 28.6% rising
48 China, Taiwan Province of 17 1000 t 2023 unchanged flat
49 Mauritania 16 1000 t 2023 up 220.0% volatile
49 Romania 16 1000 t 2023 down 52.9% rising
51 Burkina Faso 15 1000 t 2023 down 25.0% falling
51 Czechia 15 1000 t 2023 up 114.3% volatile
51 Nepal 15 1000 t 2023 up 36.4% rising
51 Uruguay 15 1000 t 2023 up 275.0% volatile
55 Belarus 14 1000 t 2023 down 67.4% falling
55 Senegal 14 1000 t 2023 up 1,300.0% volatile
57 Lithuania 13 1000 t 2023 up 333.3% volatile
57 Zambia 13 1000 t 2023 up 1,200.0% volatile
57 Republic of Moldova 13 1000 t 2023 unchanged falling
60 Trinidad and Tobago 12 1000 t 2023 up 100.0% rising
61 Ghana 11 1000 t 2023 up 120.0% volatile
62 Lesotho 10 1000 t 2023 up 150.0% volatile
62 Myanmar 10 1000 t 2023 down 9.1% falling
62 Papua New Guinea 10 1000 t 2023 down 9.1% falling
62 Tajikistan 10 1000 t 2023 up 900.0% volatile
66 Armenia 9 1000 t 2023 up 12.5% falling
66 Kyrgyzstan 9 1000 t 2023 up 200.0% volatile
66 Montenegro 9 1000 t 2023 up 350.0% volatile
66 Sierra Leone 9 1000 t 2023 up 12.5% rising
70 Azerbaijan 8 1000 t 2023 down 69.2% volatile
70 Switzerland 8 1000 t 2023 up 14.3% rising
70 Colombia 8 1000 t 2023 up 100.0% rising
70 Niger 8 1000 t 2023 down 27.3% volatile
70 Tunisia 8 1000 t 2023 unchanged falling
75 Finland 7 1000 t 2023 down 12.5% falling
75 Fiji 7 1000 t 2023 up 250.0% volatile
75 Panama 7 1000 t 2023 up 40.0% volatile
75 Qatar 7 1000 t 2023 volatile
79 Botswana 6 1000 t 2023 down 25.0% falling
79 Hungary 6 1000 t 2023 down 14.3% falling
79 Cambodia 6 1000 t 2023 up 500.0% volatile
79 Slovakia 6 1000 t 2023 up 20.0% rising
79 China, Hong Kong SAR 6 1000 t 2023 down 64.7% falling
84 China, Macao SAR 5 1000 t 2023 up 66.7% rising
85 Austria 4 1000 t 2023 volatile
85 Haiti 4 1000 t 2023 up 300.0% volatile
85 Libya 4 1000 t 2023 up 300.0% volatile
85 Mongolia 4 1000 t 2023 up 33.3% volatile
85 Nicaragua 4 1000 t 2023 unchanged volatile
85 Oman 4 1000 t 2023 down 92.3% volatile
85 Portugal 4 1000 t 2023 unchanged rising
85 Slovenia 4 1000 t 2023 up 33.3% rising
93 Djibouti 3 1000 t 2023 volatile
93 Luxembourg 3 1000 t 2023 down 57.1% volatile
93 Zimbabwe 3 1000 t 2023 unchanged rising
96 Bangladesh 2 1000 t 2023 up 100.0% volatile
96 Bosnia and Herzegovina 2 1000 t 2023 unchanged rising
96 Bhutan 2 1000 t 2023 falling
96 Cameroon 2 1000 t 2023 volatile
96 Congo 2 1000 t 2023 volatile
96 Estonia 2 1000 t 2023 unchanged rising
96 Guinea-Bissau 2 1000 t 2023 unchanged volatile
96 Greece 2 1000 t 2023 down 83.3% falling
96 India 2 1000 t 2023 down 97.9% volatile
96 Israel 2 1000 t 2023 up 100.0% volatile
96 Latvia 2 1000 t 2023 down 81.8% falling
96 Madagascar 2 1000 t 2023 up 100.0% volatile
96 Philippines 2 1000 t 2023 down 66.7% volatile
96 Eswatini 2 1000 t 2023 volatile
110 Afghanistan 1 1000 t 2023 volatile
110 Bulgaria 1 1000 t 2023 volatile
110 Bahrain 1 1000 t 2023 falling
110 Comoros 1 1000 t 2023 volatile
110 Cuba 1 1000 t 2019 unchanged volatile
110 Denmark 1 1000 t 2023 volatile
110 Dominican Republic 1 1000 t 2023 volatile
110 Ecuador 1 1000 t 2023 down 50.0% flat
110 Gambia 1 1000 t 2023 down 85.7% volatile
110 Guyana 1 1000 t 2023 down 50.0% volatile
110 Honduras 1 1000 t 2023 down 83.3% falling
110 Indonesia 1 1000 t 2023 down 98.1% volatile
110 Jordan 1 1000 t 2023 down 66.7% volatile
110 Kenya 1 1000 t 2023 volatile
110 Malta 1 1000 t 2023 volatile
110 Suriname 1 1000 t 2023 volatile
110 Sweden 1 1000 t 2023 down 66.7% rising
110 Samoa 1 1000 t 2023 volatile
110 Timor-Leste 1 1000 t 2023 volatile
110 Cabo Verde 1 1000 t 2023 unchanged rising
110 Polynesia 1 1000 t 2023 volatile
110 Syrian Arab Republic 1 1000 t 2023 volatile
110 Viet Nam 1 1000 t 2023 down 75.0% volatile
133 Angola 0 1000 t 2023 down 100.0% volatile
133 Albania 0 1000 t 2023 volatile
133 United Arab Emirates 0 1000 t 2023 volatile
133 Antigua and Barbuda 0 1000 t 2023 flat
133 Bahamas 0 1000 t 2023 down 100.0% volatile
133 Belize 0 1000 t 2023 flat
133 Barbados 0 1000 t 2023 down 100.0% volatile
133 Costa Rica 0 1000 t 2023 volatile
133 Algeria 0 1000 t 2023 down 100.0% volatile
133 Egypt 0 1000 t 2023 flat
133 Spain 0 1000 t 2023 down 100.0% volatile
133 Gabon 0 1000 t 2023 flat
133 Grenada 0 1000 t 2023 flat
133 Croatia 0 1000 t 2023 down 100.0% volatile
133 Iceland 0 1000 t 2023 flat
133 Jamaica 0 1000 t 2023 volatile
133 Kiribati 0 1000 t 2023 flat
133 Saint Kitts and Nevis 0 1000 t 2023 flat
133 Kuwait 0 1000 t 2023 down 100.0% volatile
133 Lebanon 0 1000 t 2023 volatile
133 Saint Lucia 0 1000 t 2023 flat
133 Sri Lanka 0 1000 t 2023 volatile
133 Morocco 0 1000 t 2023 volatile
133 Maldives 0 1000 t 2023 volatile
133 Marshall Islands 0 1000 t 2023 flat
133 North Macedonia 0 1000 t 2023 flat
133 Mozambique 0 1000 t 2023 down 100.0% volatile
133 Mauritius 0 1000 t 2023 volatile
133 Malawi 0 1000 t 2023 volatile
133 Namibia 0 1000 t 2023 down 100.0% volatile
133 New Caledonia 0 1000 t 2023 flat
133 Norway 0 1000 t 2023 flat
133 Nauru 0 1000 t 2023 flat
133 Paraguay 0 1000 t 2023 down 100.0% volatile
133 French Polynesia 0 1000 t 2023 flat
133 Rwanda 0 1000 t 2023 volatile
133 Solomon Islands 0 1000 t 2023 volatile
133 Sao Tome and Principe 0 1000 t 2023 flat
133 Seychelles 0 1000 t 2023 flat
133 Turkmenistan 0 1000 t 2023 down 100.0% volatile
133 Tonga 0 1000 t 2023 flat
133 Tuvalu 0 1000 t 2023 flat
133 Saint Vincent and the Grenadines 0 1000 t 2023 volatile
133 Vanuatu 0 1000 t 2023 volatile
133 Micronesia 0 1000 t 2023 flat
133 Iran (Islamic Republic of) 0 1000 t 2023 volatile
133 Venezuela (Bolivarian Republic of) 0 1000 t 2023 volatile
133 Türkiye 0 1000 t 2023 down 100.0% volatile
133 Democratic People's Republic of Korea 0 1000 t 2018 down 100.0% volatile
133 Micronesia (Federated States of) 0 1000 t 2023 flat

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

About this data

Indicator
Cereals, other — Food
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,893 data points, 2010–2023
Last refreshed

A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.