Wheat and products — Residuals 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
Wheat and products — Residuals is currently reported for 137 countries. The highest value is 606 1000 t in Belgium; the lowest is -389 1000 t in Malaysia.
The median across all reporting countries is 0 1000 t, and the mean is 4.45 1000 t.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 30 countries rose and 39 fell. The largest increase was in United Kingdom (up 833.3%), and the largest decrease in Kyrgyzstan (down 2,525.0%).
Wheat and products — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Belgium | 606 1000 t | 2023 | down 51.8% | flat |
| 2 | Vietnam | 328 1000 t | 2023 | up 30.2% | rising |
| 2 | Viet Nam | 328 1000 t | 2023 | up 30.2% | rising |
| 4 | Hungary | 305 1000 t | 2023 | up 39.9% | volatile |
| 5 | Djibouti | 238 1000 t | 2023 | down 61.9% | volatile |
| 6 | Kazakhstan | 185 1000 t | 2023 | up 103.3% | volatile |
| 7 | Bulgaria | 118 1000 t | 2023 | up 93.4% | volatile |
| 8 | Ukraine | 116 1000 t | 2023 | down 89.1% | volatile |
| 9 | Austria | 112 1000 t | 2023 | up 450.0% | volatile |
| 10 | United Kingdom | 84 1000 t | 2023 | up 833.3% | rising |
| 10 | United Kingdom of Great Britain and Northern Ireland | 84 1000 t | 2023 | up 833.3% | rising |
| 12 | Thailand | 81 1000 t | 2023 | up 26.6% | rising |
| 13 | Belarus | 40 1000 t | 2023 | down 68.8% | falling |
| 14 | Georgia | 28 1000 t | 2023 | up 27.3% | rising |
| 14 | United States | 28 1000 t | 2023 | up 139.4% | volatile |
| 16 | Ghana | 23 1000 t | 2023 | up 53.3% | volatile |
| 17 | Colombia | 15 1000 t | 2023 | up 87.5% | rising |
| 18 | Bangladesh | 14 1000 t | 2023 | up 250.0% | volatile |
| 19 | France | 9 1000 t | 2023 | down 25.0% | volatile |
| 20 | Czechia | 8 1000 t | 2023 | down 60.0% | volatile |
| 21 | Zimbabwe | 6 1000 t | 2023 | up 200.0% | rising |
| 22 | Slovenia | 4 1000 t | 2023 | down 33.3% | falling |
| 23 | Bhutan | 1 1000 t | 2023 | — | falling |
| 23 | Marshall Islands | 1 1000 t | 2023 | — | volatile |
| 23 | Micronesia | 1 1000 t | 2023 | — | volatile |
| 23 | Caribbean | 1 1000 t | 2023 | down 85.7% | volatile |
| 27 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 27 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 27 | Australia | 0 1000 t | 2023 | up 100.0% | volatile |
| 27 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 27 | Barbados | 0 1000 t | 2023 | — | volatile |
| 27 | Chile | 0 1000 t | 2023 | up 100.0% | volatile |
| 27 | Cuba | 0 1000 t | 2019 | down 100.0% | volatile |
| 27 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 27 | Egypt | 0 1000 t | 2023 | — | volatile |
| 27 | Spain | 0 1000 t | 2023 | — | volatile |
| 27 | Finland | 0 1000 t | 2023 | — | volatile |
| 27 | Fiji | 0 1000 t | 2023 | — | volatile |
| 27 | Gabon | 0 1000 t | 2023 | — | volatile |
| 27 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 27 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 27 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 27 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 27 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 27 | Kiribati | 0 1000 t | 2023 | — | volatile |
| 27 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 27 | Laos | 0 1000 t | 2023 | — | volatile |
| 27 | Libya | 0 1000 t | 2023 | — | volatile |
| 27 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 27 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 27 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 27 | Morocco | 0 1000 t | 2023 | — | volatile |
| 27 | Moldova | 0 1000 t | 2023 | — | volatile |
| 27 | Maldives | 0 1000 t | 2023 | — | volatile |
| 27 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 27 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 27 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 27 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 27 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 27 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 27 | Norway | 0 1000 t | 2023 | down 100.0% | volatile |
| 27 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 27 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 27 | Portugal | 0 1000 t | 2023 | — | volatile |
| 27 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 27 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 27 | Eswatini | 0 1000 t | 2023 | up 100.0% | volatile |
| 27 | Syria | 0 1000 t | 2023 | — | volatile |
| 27 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 27 | East Timor | 0 1000 t | 2023 | — | volatile |
| 27 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 27 | Uganda | 0 1000 t | 2023 | — | volatile |
| 27 | Zambia | 0 1000 t | 2023 | — | volatile |
| 27 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 27 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 27 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 27 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 27 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 27 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 27 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 27 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 27 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 27 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 27 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 27 | China, Taiwan Province of | 0 1000 t | 2023 | up 100.0% | volatile |
| 27 | China, Macao SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 144 | Bahrain | -1 1000 t | 2023 | — | volatile |
| 144 | Bosnia and Herzegovina | -1 1000 t | 2023 | — | volatile |
| 144 | Costa Rica | -1 1000 t | 2023 | — | volatile |
| 144 | Gambia | -1 1000 t | 2023 | — | volatile |
| 144 | Jordan | -1 1000 t | 2023 | up 75.0% | volatile |
| 144 | Sri Lanka | -1 1000 t | 2023 | — | volatile |
| 144 | Malawi | -1 1000 t | 2023 | — | volatile |
| 144 | Romania | -1 1000 t | 2023 | — | volatile |
| 144 | Rwanda | -1 1000 t | 2023 | — | volatile |
| 153 | United Arab Emirates | -2 1000 t | 2023 | up 98.1% | volatile |
| 153 | Croatia | -2 1000 t | 2023 | — | volatile |
| 153 | Latvia | -2 1000 t | 2023 | down 112.5% | volatile |
| 153 | Russia | -2 1000 t | 2023 | up 99.1% | volatile |
| 153 | Senegal | -2 1000 t | 2023 | down 100.0% | volatile |
| 153 | Slovakia | -2 1000 t | 2023 | down 125.0% | volatile |
| 153 | Russian Federation | -2 1000 t | 2023 | up 99.1% | volatile |
| 160 | Sweden | -3 1000 t | 2023 | — | volatile |
| 161 | Algeria | -4 1000 t | 2023 | — | volatile |
| 161 | Malta | -4 1000 t | 2023 | up 33.3% | rising |
| 161 | Paraguay | -4 1000 t | 2023 | — | volatile |
| 164 | Mozambique | -5 1000 t | 2023 | — | volatile |
| 164 | Oman | -5 1000 t | 2023 | down 119.2% | volatile |
| 166 | Uruguay | -8 1000 t | 2023 | — | volatile |
| 167 | China | -10 1000 t | 2023 | up 67.7% | rising |
| 167 | Estonia | -10 1000 t | 2023 | down 266.7% | volatile |
| 167 | Turkey | -10 1000 t | 2023 | down 66.7% | volatile |
| 167 | Uzbekistan | -10 1000 t | 2023 | — | volatile |
| 167 | Türkiye | -10 1000 t | 2023 | down 66.7% | volatile |
| 167 | China, mainland | -10 1000 t | 2023 | up 67.7% | rising |
| 173 | Lithuania | -15 1000 t | 2023 | down 215.4% | volatile |
| 174 | South Africa | -18 1000 t | 2023 | down 800.0% | volatile |
| 175 | Kenya | -20 1000 t | 2023 | down 1,900.0% | volatile |
| 176 | Switzerland | -31 1000 t | 2023 | up 11.4% | rising |
| 177 | Argentina | -35 1000 t | 2023 | up 82.8% | volatile |
| 178 | Canada | -36 1000 t | 2023 | down 2.9% | volatile |
| 178 | Peru | -36 1000 t | 2023 | — | volatile |
| 180 | Republic of Korea | -37 1000 t | 2023 | up 97.7% | volatile |
| 181 | Italy | -45 1000 t | 2023 | down 364.7% | volatile |
| 182 | India | -51 1000 t | 2023 | down 4.1% | volatile |
| 183 | New Zealand | -53 1000 t | 2023 | down 60.6% | falling |
| 183 | Australia and New Zealand | -53 1000 t | 2023 | down 17.8% | flat |
| 185 | Greece | -55 1000 t | 2023 | down 292.9% | volatile |
| 186 | Brazil | -69 1000 t | 2023 | — | volatile |
| 187 | Armenia | -91 1000 t | 2023 | down 278.4% | volatile |
| 188 | Kyrgyzstan | -97 1000 t | 2023 | down 2,525.0% | volatile |
| 189 | Poland | -113 1000 t | 2023 | down 1,514.3% | volatile |
| 190 | Denmark | -139 1000 t | 2023 | down 297.1% | falling |
| 191 | Netherlands (Kingdom of the) | -157 1000 t | 2023 | down 78.4% | falling |
| 192 | Germany | -226 1000 t | 2023 | up 9.6% | volatile |
| 193 | Ireland | -273 1000 t | 2023 | down 27.0% | falling |
| 194 | Malaysia | -389 1000 t | 2023 | down 274.0% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Eastern Europe 470 1000 t
- Europe 323 1000 t
- Western Europe 312 1000 t
- World 270 1000 t
- Least Developed Countries (LDCs) 243 1000 t
- Eastern Africa 218 1000 t
- Africa 216 1000 t
- Net Food Importing Developing Countries (NFIDCs) 186 1000 t
- European Union (27) 116 1000 t
- Central Asia 77 1000 t
- United States of America 28 1000 t
- Western Africa 21 1000 t
- South-Eastern Asia 20 1000 t
- Small island developing States (SIDS) 1 1000 t
- Middle Africa 0 1000 t
- Central America -1 1000 t
- Northern Africa -4 1000 t
- Northern America -9 1000 t
- Land Locked Developing Countries (LLDCs) -13 1000 t
- Southern Africa -18 1000 t
- Southern Asia -38 1000 t
- Eastern Asia -47 1000 t
- Oceania -53 1000 t
- Asia -69 1000 t
- Western Asia -82 1000 t
- Southern Europe -102 1000 t
- Low Income Food Deficit Countries (LIFDCs) -131 1000 t
- South America -138 1000 t
- Americas -147 1000 t
- Northern Europe -357 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.