Pimento — Domestic supply quantity 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...
What the numbers show
Pimento — Domestic supply quantity is currently reported for 124 countries. The highest value is 1,997 1000 t in India; the lowest is -9 1000 t in Zambia.
The median across all reporting countries is 3 1000 t, and the mean is 45.65 1000 t.
The gap between the highest and lowest reporting country is a factor of about 222.
Over the past decade 51 countries rose and 19 fell. The largest increase was in Kazakhstan (up 1,900.0%), and the largest decrease in Zambia (down 1,000.0%).
Pimento — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 1,997 1000 t | 2023 | up 91.5% | rising |
| 2 | Bangladesh | 660 1000 t | 2023 | up 368.1% | volatile |
| 3 | Thailand | 416 1000 t | 2023 | up 41.5% | rising |
| 4 | Ethiopia | 265 1000 t | 2023 | up 61.6% | rising |
| 5 | China | 169 1000 t | 2023 | down 5.6% | rising |
| 5 | United States | 169 1000 t | 2023 | up 53.6% | rising |
| 7 | China, mainland | 164 1000 t | 2023 | down 6.3% | rising |
| 8 | Myanmar | 142 1000 t | 2023 | up 26.8% | rising |
| 9 | Cote d'Ivoire | 129 1000 t | 2023 | up 12.2% | rising |
| 9 | Côte d'Ivoire | 129 1000 t | 2023 | up 12.2% | rising |
| 11 | Vietnam | 108 1000 t | 2023 | up 16.1% | rising |
| 11 | Viet Nam | 108 1000 t | 2023 | up 16.1% | rising |
| 13 | Ghana | 103 1000 t | 2023 | unchanged | rising |
| 14 | Pakistan | 99 1000 t | 2023 | down 24.4% | falling |
| 15 | Nepal | 86 1000 t | 2023 | up 152.9% | rising |
| 16 | Mexico | 68 1000 t | 2023 | unchanged | falling |
| 17 | Nigeria | 65 1000 t | 2023 | up 4.8% | rising |
| 18 | Egypt | 64 1000 t | 2023 | up 3.2% | flat |
| 19 | Malaysia | 52 1000 t | 2023 | up 10.6% | rising |
| 20 | Indonesia | 45 1000 t | 2023 | up 150.0% | rising |
| 21 | Cameroon | 40 1000 t | 2023 | up 29.0% | rising |
| 21 | Sri Lanka | 40 1000 t | 2023 | down 4.8% | rising |
| 23 | Democratic Republic of the Congo | 37 1000 t | 2023 | up 2.8% | rising |
| 24 | Niger | 34 1000 t | 2023 | up 209.1% | rising |
| 25 | South Africa | 27 1000 t | 2023 | up 17.4% | rising |
| 26 | Bosnia and Herzegovina | 25 1000 t | 2023 | down 10.7% | falling |
| 26 | Morocco | 25 1000 t | 2023 | down 3.8% | flat |
| 28 | Republic of Korea | 24 1000 t | 2023 | up 700.0% | volatile |
| 29 | Algeria | 22 1000 t | 2023 | up 15.8% | rising |
| 30 | Jamaica | 20 1000 t | 2023 | up 33.3% | rising |
| 30 | Kazakhstan | 20 1000 t | 2023 | up 1,900.0% | volatile |
| 30 | Caribbean | 20 1000 t | 2023 | up 33.3% | rising |
| 33 | Turkey | 17 1000 t | 2023 | up 6.2% | falling |
| 33 | Türkiye | 17 1000 t | 2023 | up 6.2% | falling |
| 35 | Germany | 15 1000 t | 2023 | unchanged | rising |
| 36 | Laos | 14 1000 t | 2023 | up 27.3% | rising |
| 36 | Tunisia | 14 1000 t | 2023 | up 250.0% | volatile |
| 36 | Lao People's Democratic Republic | 14 1000 t | 2023 | up 27.3% | rising |
| 39 | Cambodia | 13 1000 t | 2023 | up 8.3% | rising |
| 40 | United Arab Emirates | 12 1000 t | 2023 | unchanged | flat |
| 40 | United Kingdom | 12 1000 t | 2023 | up 33.3% | rising |
| 40 | United Kingdom of Great Britain and Northern Ireland | 12 1000 t | 2023 | up 33.3% | rising |
| 43 | Canada | 9 1000 t | 2023 | up 50.0% | rising |
| 43 | Russia | 9 1000 t | 2023 | up 50.0% | rising |
| 43 | Russian Federation | 9 1000 t | 2023 | up 50.0% | rising |
| 46 | United Republic of Tanzania | 7 1000 t | 2023 | unchanged | falling |
| 46 | Democratic People's Republic of Korea | 7 1000 t | 2018 | — | falling |
| 48 | France | 6 1000 t | 2023 | up 100.0% | rising |
| 48 | Poland | 6 1000 t | 2023 | up 50.0% | rising |
| 48 | Australia and New Zealand | 6 1000 t | 2023 | up 50.0% | rising |
| 51 | Argentina | 5 1000 t | 2023 | up 25.0% | rising |
| 51 | Australia | 5 1000 t | 2023 | up 66.7% | rising |
| 51 | Saudi Arabia | 5 1000 t | 2023 | up 150.0% | volatile |
| 51 | Senegal | 5 1000 t | 2023 | unchanged | rising |
| 55 | North Macedonia | 4 1000 t | 2023 | down 20.0% | falling |
| 55 | Sierra Leone | 4 1000 t | 2023 | down 20.0% | falling |
| 55 | Serbia | 4 1000 t | 2023 | up 33.3% | rising |
| 55 | Iran (Islamic Republic of) | 4 1000 t | 2023 | unchanged | falling |
| 55 | Netherlands (Kingdom of the) | 4 1000 t | 2023 | down 20.0% | rising |
| 60 | Austria | 3 1000 t | 2023 | up 50.0% | rising |
| 60 | Iraq | 3 1000 t | 2023 | — | volatile |
| 60 | Kenya | 3 1000 t | 2023 | unchanged | falling |
| 60 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | rising |
| 60 | Uganda | 3 1000 t | 2023 | unchanged | falling |
| 60 | China, Taiwan Province of | 3 1000 t | 2023 | unchanged | rising |
| 66 | Bulgaria | 2 1000 t | 2023 | down 33.3% | falling |
| 66 | Brazil | 2 1000 t | 2023 | up 300.0% | volatile |
| 66 | Switzerland | 2 1000 t | 2023 | unchanged | rising |
| 66 | Czechia | 2 1000 t | 2023 | down 33.3% | falling |
| 66 | Hungary | 2 1000 t | 2023 | down 85.7% | volatile |
| 66 | Israel | 2 1000 t | 2023 | up 100.0% | volatile |
| 66 | Italy | 2 1000 t | 2023 | unchanged | rising |
| 66 | Libya | 2 1000 t | 2023 | down 66.7% | rising |
| 66 | Madagascar | 2 1000 t | 2023 | unchanged | falling |
| 66 | Oman | 2 1000 t | 2023 | up 100.0% | rising |
| 66 | Qatar | 2 1000 t | 2023 | — | flat |
| 66 | Romania | 2 1000 t | 2023 | down 95.9% | volatile |
| 66 | Sweden | 2 1000 t | 2023 | unchanged | flat |
| 66 | Ukraine | 2 1000 t | 2023 | unchanged | flat |
| 66 | Cabo Verde | 2 1000 t | 2023 | unchanged | rising |
| 66 | China, Hong Kong SAR | 2 1000 t | 2023 | up 100.0% | rising |
| 82 | Albania | 1 1000 t | 2023 | — | volatile |
| 82 | Belgium | 1 1000 t | 2023 | unchanged | flat |
| 82 | Bahrain | 1 1000 t | 2023 | — | flat |
| 82 | Chile | 1 1000 t | 2023 | — | volatile |
| 82 | Costa Rica | 1 1000 t | 2023 | up 200.0% | volatile |
| 82 | Djibouti | 1 1000 t | 2023 | unchanged | volatile |
| 82 | Denmark | 1 1000 t | 2023 | unchanged | flat |
| 82 | Estonia | 1 1000 t | 2023 | unchanged | volatile |
| 82 | Finland | 1 1000 t | 2023 | — | volatile |
| 82 | Greece | 1 1000 t | 2023 | unchanged | flat |
| 82 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 82 | Croatia | 1 1000 t | 2023 | unchanged | flat |
| 82 | Ireland | 1 1000 t | 2023 | — | volatile |
| 82 | Kuwait | 1 1000 t | 2023 | unchanged | volatile |
| 82 | Maldives | 1 1000 t | 2023 | — | volatile |
| 82 | Malawi | 1 1000 t | 2023 | unchanged | falling |
| 82 | New Zealand | 1 1000 t | 2023 | unchanged | rising |
| 82 | Philippines | 1 1000 t | 2023 | — | volatile |
| 82 | Portugal | 1 1000 t | 2023 | unchanged | flat |
| 82 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 82 | Slovakia | 1 1000 t | 2023 | unchanged | falling |
| 82 | Slovenia | 1 1000 t | 2023 | unchanged | volatile |
| 82 | Syria | 1 1000 t | 2023 | unchanged | falling |
| 82 | Uzbekistan | 1 1000 t | 2023 | down 75.0% | falling |
| 82 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | falling |
| 82 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | — | volatile |
| 108 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 108 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 108 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 108 | Honduras | 0 1000 t | 2023 | up 100.0% | volatile |
| 108 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 108 | Liberia | 0 1000 t | 2023 | — | volatile |
| 108 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 108 | Yemen | 0 1000 t | 2023 | — | volatile |
| 108 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 185 | Ecuador | -1 1000 t | 2023 | — | volatile |
| 185 | Rwanda | -1 1000 t | 2023 | — | volatile |
| 185 | Zimbabwe | -1 1000 t | 2023 | — | volatile |
| 188 | Colombia | -2 1000 t | 2023 | up 33.3% | falling |
| 188 | Spain | -2 1000 t | 2023 | down 166.7% | volatile |
| 190 | Jordan | -3 1000 t | 2023 | down 200.0% | volatile |
| 191 | Peru | -7 1000 t | 2023 | down 40.0% | volatile |
| 192 | Zambia | -9 1000 t | 2023 | down 1,000.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 5,210 1000 t
- Asia 3,954 1000 t
- Southern Asia 2,886 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,677 1000 t
- Least Developed Countries (LDCs) 1,291 1000 t
- Africa 872 1000 t
- South-Eastern Asia 791 1000 t
- Low Income Food Deficit Countries (LIFDCs) 519 1000 t
- Land Locked Developing Countries (LLDCs) 433 1000 t
- Western Africa 352 1000 t
- Eastern Africa 278 1000 t
- Americas 268 1000 t
- Eastern Asia 209 1000 t
- Northern America 178 1000 t
- United States of America 169 1000 t
- Northern Africa 138 1000 t
- Europe 111 1000 t
- Middle Africa 77 1000 t
- Central America 71 1000 t
- European Union (27) 52 1000 t
- Western Asia 44 1000 t
- Southern Europe 38 1000 t
- Western Europe 30 1000 t
- Southern Africa 27 1000 t
- Eastern Europe 26 1000 t
- Central Asia 24 1000 t
- Small island developing States (SIDS) 23 1000 t
- Northern Europe 17 1000 t
- Oceania 6 1000 t
- South America -1 1000 t
About this data
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.