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...
Countries reporting
182
Highest
196 1000 t
Spain
Lowest
-469 1000 t
Belgium
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,901
What the numbers show
Vegetables, other — Residuals is currently reported for 182 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 0 1000 t, and the mean is -15.42 1000 t.
Over the past decade 30 countries rose and 40 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 | Syrian Arab Republic | 7 1000 t | 2023 | down 46.2% | volatile |
| 6 | Angola | 3 1000 t | 2023 | — | volatile |
| 7 | Zambia | 2 1000 t | 2023 | up 150.0% | volatile |
| 8 | Albania | 0 1000 t | 2023 | — | volatile |
| 8 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 8 | Australia | 0 1000 t | 2023 | — | flat |
| 8 | Bulgaria | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Bahrain | 0 1000 t | 2023 | — | flat |
| 8 | Bahamas | 0 1000 t | 2023 | — | flat |
| 8 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 8 | Belize | 0 1000 t | 2023 | — | volatile |
| 8 | Barbados | 0 1000 t | 2023 | — | flat |
| 8 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 8 | Switzerland | 0 1000 t | 2023 | — | flat |
| 8 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 8 | Congo | 0 1000 t | 2023 | — | volatile |
| 8 | Comoros | 0 1000 t | 2023 | — | flat |
| 8 | Cuba | 0 1000 t | 2019 | — | flat |
| 8 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 8 | Germany | 0 1000 t | 2023 | — | volatile |
| 8 | Denmark | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Estonia | 0 1000 t | 2023 | — | volatile |
| 8 | Finland | 0 1000 t | 2023 | — | flat |
| 8 | Fiji | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Gabon | 0 1000 t | 2023 | — | flat |
| 8 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Guinea | 0 1000 t | 2023 | — | volatile |
| 8 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 8 | Grenada | 0 1000 t | 2023 | — | flat |
| 8 | Guyana | 0 1000 t | 2023 | — | volatile |
| 8 | Haiti | 0 1000 t | 2023 | — | flat |
| 8 | Ireland | 0 1000 t | 2023 | — | flat |
| 8 | Iraq | 0 1000 t | 2023 | — | flat |
| 8 | Iceland | 0 1000 t | 2023 | — | flat |
| 8 | Israel | 0 1000 t | 2023 | — | flat |
| 8 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 8 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 8 | Kiribati | 0 1000 t | 2023 | — | flat |
| 8 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 8 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Liberia | 0 1000 t | 2023 | — | volatile |
| 8 | Libya | 0 1000 t | 2023 | — | flat |
| 8 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 8 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Lesotho | 0 1000 t | 2023 | — | flat |
| 8 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 8 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 8 | Maldives | 0 1000 t | 2023 | — | volatile |
| 8 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 8 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 8 | Malta | 0 1000 t | 2023 | — | flat |
| 8 | Montenegro | 0 1000 t | 2023 | — | flat |
| 8 | Mongolia | 0 1000 t | 2023 | — | flat |
| 8 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 8 | Mauritius | 0 1000 t | 2023 | — | flat |
| 8 | Malawi | 0 1000 t | 2023 | — | volatile |
| 8 | Norway | 0 1000 t | 2023 | — | flat |
| 8 | Nepal | 0 1000 t | 2023 | — | volatile |
| 8 | Nauru | 0 1000 t | 2023 | — | flat |
| 8 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Panama | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Philippines | 0 1000 t | 2023 | — | volatile |
| 8 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 8 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 8 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 8 | Qatar | 0 1000 t | 2023 | — | flat |
| 8 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 8 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 8 | El Salvador | 0 1000 t | 2023 | — | flat |
| 8 | Serbia | 0 1000 t | 2023 | — | volatile |
| 8 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 8 | Suriname | 0 1000 t | 2023 | — | flat |
| 8 | Slovenia | 0 1000 t | 2023 | — | flat |
| 8 | Sweden | 0 1000 t | 2023 | — | volatile |
| 8 | Eswatini | 0 1000 t | 2023 | — | flat |
| 8 | Seychelles | 0 1000 t | 2023 | — | flat |
| 8 | Thailand | 0 1000 t | 2023 | — | volatile |
| 8 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 8 | Tonga | 0 1000 t | 2023 | — | flat |
| 8 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 8 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 8 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 8 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 8 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 8 | Vanuatu | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Samoa | 0 1000 t | 2023 | — | volatile |
| 8 | Yemen | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 8 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 8 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 8 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 8 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 8 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 8 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 8 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 8 | Australia and New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 8 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 8 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 8 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
| 108 | Azerbaijan | -1 1000 t | 2023 | up 85.7% | volatile |
| 108 | Colombia | -1 1000 t | 2023 | up 50.0% | rising |
| 108 | Czechia | -1 1000 t | 2023 | down 125.0% | volatile |
| 108 | Djibouti | -1 1000 t | 2023 | — | volatile |
| 108 | Egypt | -1 1000 t | 2023 | up 96.2% | volatile |
| 108 | Ghana | -1 1000 t | 2023 | up 50.0% | volatile |
| 108 | Gambia | -1 1000 t | 2023 | — | volatile |
| 108 | Croatia | -1 1000 t | 2023 | — | volatile |
| 108 | Hungary | -1 1000 t | 2023 | down 133.3% | volatile |
| 108 | Jordan | -1 1000 t | 2023 | up 66.7% | volatile |
| 108 | Kyrgyzstan | -1 1000 t | 2023 | — | volatile |
| 108 | New Caledonia | -1 1000 t | 2023 | — | volatile |
| 108 | Nicaragua | -1 1000 t | 2023 | up 50.0% | volatile |
| 108 | Romania | -1 1000 t | 2023 | — | volatile |
| 108 | Saudi Arabia | -1 1000 t | 2023 | up 80.0% | volatile |
| 108 | Zimbabwe | -1 1000 t | 2023 | — | volatile |
| 108 | Melanesia | -1 1000 t | 2023 | up 50.0% | volatile |
| 125 | Armenia | -2 1000 t | 2023 | — | volatile |
| 125 | Bangladesh | -2 1000 t | 2023 | — | volatile |
| 125 | Chile | -2 1000 t | 2023 | unchanged | volatile |
| 125 | Algeria | -2 1000 t | 2023 | up 50.0% | volatile |
| 125 | Lebanon | -2 1000 t | 2023 | — | volatile |
| 125 | Tunisia | -2 1000 t | 2023 | down 150.0% | volatile |
| 125 | Iran (Islamic Republic of) | -2 1000 t | 2023 | up 92.9% | volatile |
| 125 | Venezuela (Bolivarian Republic of) | -2 1000 t | 2023 | — | volatile |
| 133 | United Arab Emirates | -3 1000 t | 2023 | up 40.0% | volatile |
| 133 | Botswana | -3 1000 t | 2023 | — | volatile |
| 133 | Dominican Republic | -3 1000 t | 2023 | — | volatile |
| 133 | Caribbean | -3 1000 t | 2023 | — | volatile |
| 133 | Russian Federation | -3 1000 t | 2023 | down 104.5% | volatile |
| 133 | Côte d'Ivoire | -3 1000 t | 2023 | — | volatile |
| 139 | Türkiye | -4 1000 t | 2023 | up 60.0% | volatile |
| 140 | Argentina | -5 1000 t | 2023 | — | volatile |
| 140 | Namibia | -5 1000 t | 2023 | — | volatile |
| 142 | Slovakia | -6 1000 t | 2023 | — | volatile |
| 143 | Guatemala | -7 1000 t | 2023 | up 74.1% | volatile |
| 144 | Kenya | -8 1000 t | 2023 | up 11.1% | volatile |
| 144 | Malaysia | -8 1000 t | 2023 | up 61.9% | rising |
| 146 | Republic of Korea | -9 1000 t | 2023 | — | volatile |
| 147 | Burkina Faso | -11 1000 t | 2023 | down 22.2% | volatile |
| 148 | Greece | -12 1000 t | 2023 | down 116.0% | volatile |
| 149 | Niger | -13 1000 t | 2023 | down 160.0% | volatile |
| 150 | Morocco | -14 1000 t | 2023 | down 600.0% | volatile |
| 151 | Uganda | -17 1000 t | 2023 | down 240.0% | volatile |
| 152 | Costa Rica | -18 1000 t | 2023 | down 100.0% | volatile |
| 152 | United Republic of Tanzania | -18 1000 t | 2023 | up 70.0% | volatile |
| 154 | Honduras | -22 1000 t | 2023 | down 2,100.0% | volatile |
| 154 | Oman | -22 1000 t | 2023 | down 175.0% | volatile |
| 156 | Lithuania | -23 1000 t | 2023 | down 2,200.0% | volatile |
| 156 | Lao People's Democratic Republic | -23 1000 t | 2023 | — | volatile |
| 158 | Ethiopia | -24 1000 t | 2023 | down 242.9% | volatile |
| 158 | Pakistan | -24 1000 t | 2023 | down 500.0% | volatile |
| 160 | Nigeria | -25 1000 t | 2023 | — | volatile |
| 161 | Austria | -26 1000 t | 2023 | down 333.3% | volatile |
| 161 | Brazil | -26 1000 t | 2023 | down 136.4% | volatile |
| 163 | Portugal | -28 1000 t | 2023 | up 15.2% | volatile |
| 164 | Senegal | -30 1000 t | 2023 | down 400.0% | volatile |
| 165 | Latvia | -31 1000 t | 2023 | down 3,000.0% | volatile |
| 166 | Mauritania | -37 1000 t | 2023 | — | volatile |
| 167 | Indonesia | -38 1000 t | 2023 | down 11.8% | volatile |
| 168 | Belarus | -41 1000 t | 2023 | — | volatile |
| 168 | France | -41 1000 t | 2023 | down 141.2% | volatile |
| 170 | Tajikistan | -60 1000 t | 2023 | down 6,100.0% | volatile |
| 171 | Viet Nam | -66 1000 t | 2023 | down 650.0% | volatile |
| 172 | India | -79 1000 t | 2023 | down 507.7% | volatile |
| 173 | Myanmar | -95 1000 t | 2023 | down 320.9% | volatile |
| 174 | Uzbekistan | -114 1000 t | 2023 | down 11,300.0% | volatile |
| 175 | Afghanistan | -116 1000 t | 2023 | down 3,766.7% | volatile |
| 176 | Poland | -126 1000 t | 2023 | down 88.1% | volatile |
| 177 | Canada | -157 1000 t | 2023 | down 726.3% | volatile |
| 178 | Netherlands (Kingdom of the) | -246 1000 t | 2023 | down 4,200.0% | volatile |
| 179 | Italy | -281 1000 t | 2023 | — | volatile |
| 180 | China | -366 1000 t | 2023 | down 218.3% | volatile |
| 180 | China, mainland | -366 1000 t | 2023 | down 218.3% | volatile |
| 182 | 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
- South Africa -4 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
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.