Vegetables, other — 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
Vegetables, other — Residuals is currently reported for 152 countries. The highest value is 196 1000 t in Spain; the lowest is -469 1000 t in Belgium.
The median across all reporting countries is -1 1000 t, and the mean is -19.1 1000 t.
Over the past decade 32 countries rose and 45 fell. The largest increase was in Ecuador (up 214.6%), and the largest decrease in Uzbekistan (down 11,300.0%).
Vegetables, other — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Spain | 196 1000 t | 2023 | down 18.0% | volatile |
| 2 | Ecuador | 129 1000 t | 2023 | up 214.6% | rising |
| 3 | Peru | 35 1000 t | 2023 | up 52.2% | rising |
| 4 | Mexico | 29 1000 t | 2023 | down 19.4% | volatile |
| 5 | Syria | 7 1000 t | 2023 | down 46.2% | volatile |
| 5 | Syrian Arab Republic | 7 1000 t | 2023 | down 46.2% | volatile |
| 7 | Angola | 3 1000 t | 2023 | — | volatile |
| 8 | Zambia | 2 1000 t | 2023 | up 150.0% | volatile |
| 9 | Albania | 0 1000 t | 2023 | — | volatile |
| 9 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 9 | Bulgaria | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Belize | 0 1000 t | 2023 | — | volatile |
| 9 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 9 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 9 | Congo | 0 1000 t | 2023 | — | volatile |
| 9 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 9 | Germany | 0 1000 t | 2023 | — | volatile |
| 9 | Denmark | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Estonia | 0 1000 t | 2023 | — | volatile |
| 9 | Fiji | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | United Kingdom | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Guinea | 0 1000 t | 2023 | — | volatile |
| 9 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 9 | Guyana | 0 1000 t | 2023 | — | volatile |
| 9 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 9 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 9 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Liberia | 0 1000 t | 2023 | — | volatile |
| 9 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Moldova | 0 1000 t | 2023 | — | volatile |
| 9 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 9 | Maldives | 0 1000 t | 2023 | — | volatile |
| 9 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 9 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 9 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 9 | Malawi | 0 1000 t | 2023 | — | volatile |
| 9 | Nepal | 0 1000 t | 2023 | — | volatile |
| 9 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Panama | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Philippines | 0 1000 t | 2023 | — | volatile |
| 9 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 9 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 9 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 9 | Serbia | 0 1000 t | 2023 | — | volatile |
| 9 | Sweden | 0 1000 t | 2023 | — | volatile |
| 9 | Thailand | 0 1000 t | 2023 | — | volatile |
| 9 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 9 | East Timor | 0 1000 t | 2023 | — | volatile |
| 9 | Tonga | 0 1000 t | 2023 | — | flat |
| 9 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 9 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 9 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 9 | United States | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 9 | Vanuatu | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Samoa | 0 1000 t | 2023 | — | volatile |
| 9 | Yemen | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 9 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 9 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 9 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 9 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 9 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 9 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 9 | Australia and New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 9 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
| 114 | Azerbaijan | -1 1000 t | 2023 | up 85.7% | volatile |
| 114 | Colombia | -1 1000 t | 2023 | up 50.0% | rising |
| 114 | Czechia | -1 1000 t | 2023 | down 125.0% | volatile |
| 114 | Djibouti | -1 1000 t | 2023 | — | volatile |
| 114 | Egypt | -1 1000 t | 2023 | up 96.2% | volatile |
| 114 | Ghana | -1 1000 t | 2023 | up 50.0% | volatile |
| 114 | Gambia | -1 1000 t | 2023 | — | volatile |
| 114 | Croatia | -1 1000 t | 2023 | — | volatile |
| 114 | Hungary | -1 1000 t | 2023 | down 133.3% | volatile |
| 114 | Jordan | -1 1000 t | 2023 | up 66.7% | volatile |
| 114 | Kyrgyzstan | -1 1000 t | 2023 | — | volatile |
| 114 | New Caledonia | -1 1000 t | 2023 | — | volatile |
| 114 | Nicaragua | -1 1000 t | 2023 | up 50.0% | volatile |
| 114 | Romania | -1 1000 t | 2023 | — | volatile |
| 114 | Saudi Arabia | -1 1000 t | 2023 | up 80.0% | volatile |
| 114 | Zimbabwe | -1 1000 t | 2023 | — | volatile |
| 114 | Melanesia | -1 1000 t | 2023 | up 50.0% | volatile |
| 131 | Armenia | -2 1000 t | 2023 | — | volatile |
| 131 | Bangladesh | -2 1000 t | 2023 | — | volatile |
| 131 | Chile | -2 1000 t | 2023 | unchanged | volatile |
| 131 | Algeria | -2 1000 t | 2023 | up 50.0% | volatile |
| 131 | Lebanon | -2 1000 t | 2023 | — | volatile |
| 131 | Tunisia | -2 1000 t | 2023 | down 150.0% | volatile |
| 131 | Iran (Islamic Republic of) | -2 1000 t | 2023 | up 92.9% | volatile |
| 131 | Venezuela (Bolivarian Republic of) | -2 1000 t | 2023 | — | volatile |
| 139 | United Arab Emirates | -3 1000 t | 2023 | up 40.0% | volatile |
| 139 | Botswana | -3 1000 t | 2023 | — | volatile |
| 139 | Cote d'Ivoire | -3 1000 t | 2023 | — | volatile |
| 139 | Dominican Republic | -3 1000 t | 2023 | — | volatile |
| 139 | Russia | -3 1000 t | 2023 | down 104.5% | volatile |
| 139 | Caribbean | -3 1000 t | 2023 | — | volatile |
| 139 | Russian Federation | -3 1000 t | 2023 | down 104.5% | volatile |
| 139 | Côte d'Ivoire | -3 1000 t | 2023 | — | volatile |
| 147 | Turkey | -4 1000 t | 2023 | up 60.0% | volatile |
| 147 | South Africa | -4 1000 t | 2023 | down 33.3% | volatile |
| 147 | Türkiye | -4 1000 t | 2023 | up 60.0% | volatile |
| 150 | Argentina | -5 1000 t | 2023 | — | volatile |
| 150 | Namibia | -5 1000 t | 2023 | — | volatile |
| 152 | Slovakia | -6 1000 t | 2023 | — | volatile |
| 153 | Guatemala | -7 1000 t | 2023 | up 74.1% | volatile |
| 154 | Kenya | -8 1000 t | 2023 | up 11.1% | volatile |
| 154 | Malaysia | -8 1000 t | 2023 | up 61.9% | rising |
| 156 | Republic of Korea | -9 1000 t | 2023 | — | volatile |
| 157 | Burkina Faso | -11 1000 t | 2023 | down 22.2% | volatile |
| 158 | Greece | -12 1000 t | 2023 | down 116.0% | volatile |
| 159 | Niger | -13 1000 t | 2023 | down 160.0% | volatile |
| 160 | Morocco | -14 1000 t | 2023 | down 600.0% | volatile |
| 161 | Uganda | -17 1000 t | 2023 | down 240.0% | volatile |
| 162 | Costa Rica | -18 1000 t | 2023 | down 100.0% | volatile |
| 162 | United Republic of Tanzania | -18 1000 t | 2023 | up 70.0% | volatile |
| 164 | Honduras | -22 1000 t | 2023 | down 2,100.0% | volatile |
| 164 | Oman | -22 1000 t | 2023 | down 175.0% | volatile |
| 166 | Laos | -23 1000 t | 2023 | — | volatile |
| 166 | Lithuania | -23 1000 t | 2023 | down 2,200.0% | volatile |
| 166 | Lao People's Democratic Republic | -23 1000 t | 2023 | — | volatile |
| 169 | Ethiopia | -24 1000 t | 2023 | down 242.9% | volatile |
| 169 | Pakistan | -24 1000 t | 2023 | down 500.0% | volatile |
| 171 | Nigeria | -25 1000 t | 2023 | — | volatile |
| 172 | Austria | -26 1000 t | 2023 | down 333.3% | volatile |
| 172 | Brazil | -26 1000 t | 2023 | down 136.4% | volatile |
| 174 | Portugal | -28 1000 t | 2023 | up 15.2% | volatile |
| 175 | Senegal | -30 1000 t | 2023 | down 400.0% | volatile |
| 176 | Latvia | -31 1000 t | 2023 | down 3,000.0% | volatile |
| 177 | Mauritania | -37 1000 t | 2023 | — | volatile |
| 178 | Indonesia | -38 1000 t | 2023 | down 11.8% | volatile |
| 179 | Belarus | -41 1000 t | 2023 | — | volatile |
| 179 | France | -41 1000 t | 2023 | down 141.2% | volatile |
| 181 | Tajikistan | -60 1000 t | 2023 | down 6,100.0% | volatile |
| 182 | Vietnam | -66 1000 t | 2023 | down 650.0% | volatile |
| 182 | Viet Nam | -66 1000 t | 2023 | down 650.0% | volatile |
| 184 | India | -79 1000 t | 2023 | down 507.7% | volatile |
| 185 | Myanmar | -95 1000 t | 2023 | down 320.9% | volatile |
| 186 | Uzbekistan | -114 1000 t | 2023 | down 11,300.0% | volatile |
| 187 | Afghanistan | -116 1000 t | 2023 | down 3,766.7% | volatile |
| 188 | Poland | -126 1000 t | 2023 | down 88.1% | volatile |
| 189 | Canada | -157 1000 t | 2023 | down 726.3% | volatile |
| 190 | Netherlands (Kingdom of the) | -246 1000 t | 2023 | down 4,200.0% | volatile |
| 191 | Italy | -281 1000 t | 2023 | — | volatile |
| 192 | China | -366 1000 t | 2023 | down 218.3% | volatile |
| 192 | China, mainland | -366 1000 t | 2023 | down 218.3% | volatile |
| 194 | Belgium | -469 1000 t | 2023 | down 258.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- South America 129 1000 t
- Middle Africa 3 1000 t
- United States of America 0 1000 t
- Oceania -1 1000 t
- Small island developing States (SIDS) -5 1000 t
- Southern Africa -11 1000 t
- Central America -20 1000 t
- Northern Africa -22 1000 t
- Western Asia -29 1000 t
- Americas -52 1000 t
- Northern Europe -54 1000 t
- Eastern Africa -70 1000 t
- Western Africa -121 1000 t
- Southern Europe -126 1000 t
- Northern America -157 1000 t
- Central Asia -175 1000 t
- Eastern Europe -179 1000 t
- Africa -221 1000 t
- Southern Asia -223 1000 t
- South-Eastern Asia -230 1000 t
- Eastern Asia -375 1000 t
- Land Locked Developing Countries (LLDCs) -386 1000 t
- Least Developed Countries (LDCs) -388 1000 t
- Net Food Importing Developing Countries (NFIDCs) -442 1000 t
- Low Income Food Deficit Countries (LIFDCs) -452 1000 t
- Western Europe -782 1000 t
- Asia -1,032 1000 t
- European Union (27) -1,096 1000 t
- Europe -1,141 1000 t
- World -2,448 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.