Grapes and products (excl wine) — 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
Grapes and products (excl wine) — Residuals is currently reported for 81 countries. The highest value is 19 1000 t in Ukraine; the lowest is -3,152 1000 t in Italy.
The median across all reporting countries is 0 1000 t, and the mean is -80.58 1000 t.
Over the past decade 27 countries rose and 28 fell. The largest increase was in Ukraine (up 171.4%), and the largest decrease in Georgia (down 4,400.0%).
Grapes and products (excl wine) — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ukraine | 19 1000 t | 2023 | up 171.4% | volatile |
| 2 | Armenia | 9 1000 t | 2023 | — | volatile |
| 3 | Zimbabwe | 3 1000 t | 2023 | — | volatile |
| 4 | Kazakhstan | 2 1000 t | 2023 | up 120.0% | volatile |
| 5 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 5 | Angola | 0 1000 t | 2023 | — | volatile |
| 5 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 5 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Azerbaijan | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Bosnia and Herzegovina | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Belarus | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Canada | 0 1000 t | 2023 | — | volatile |
| 5 | Switzerland | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Czechia | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 5 | United Kingdom | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Greece | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Israel | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 5 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 5 | Laos | 0 1000 t | 2023 | — | volatile |
| 5 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 5 | Lithuania | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Luxembourg | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | North Macedonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Montenegro | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 5 | Namibia | 0 1000 t | 2023 | — | volatile |
| 5 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Peru | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Poland | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Russia | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Slovakia | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Slovenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 5 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 5 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Turkey | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Uruguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | United States | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 5 | Yemen | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | South Africa | 0 1000 t | 2023 | up 100.0% | rising |
| 5 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 5 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 5 | Republic of Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Russian Federation | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 5 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 5 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 172 | Syria | -1 1000 t | 2023 | unchanged | volatile |
| 172 | Caribbean | -1 1000 t | 2023 | — | volatile |
| 172 | Syrian Arab Republic | -1 1000 t | 2023 | unchanged | volatile |
| 175 | Nepal | -2 1000 t | 2023 | down 100.0% | volatile |
| 176 | Albania | -6 1000 t | 2023 | down 20.0% | flat |
| 176 | Cyprus | -6 1000 t | 2023 | down 400.0% | volatile |
| 178 | Egypt | -7 1000 t | 2023 | — | volatile |
| 179 | Colombia | -8 1000 t | 2023 | down 300.0% | volatile |
| 180 | Bulgaria | -12 1000 t | 2023 | up 84.6% | rising |
| 181 | Croatia | -26 1000 t | 2023 | down 136.4% | volatile |
| 182 | Georgia | -43 1000 t | 2023 | down 4,400.0% | volatile |
| 183 | Jordan | -46 1000 t | 2023 | — | volatile |
| 184 | Chile | -55 1000 t | 2023 | up 73.6% | volatile |
| 185 | Portugal | -60 1000 t | 2023 | up 47.4% | rising |
| 186 | Austria | -78 1000 t | 2023 | up 29.1% | rising |
| 187 | Australia | -123 1000 t | 2023 | up 52.0% | falling |
| 187 | Australia and New Zealand | -123 1000 t | 2023 | up 56.7% | falling |
| 189 | Hungary | -126 1000 t | 2023 | up 16.6% | rising |
| 190 | Belgium | -159 1000 t | 2023 | down 3,280.0% | volatile |
| 191 | Uzbekistan | -233 1000 t | 2023 | — | volatile |
| 192 | France | -2,292 1000 t | 2023 | down 122.3% | falling |
| 193 | Italy | -3,152 1000 t | 2023 | down 189.4% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Eastern Africa 2 1000 t
- Northern America 0 1000 t
- Southern Africa 0 1000 t
- Western Africa 0 1000 t
- Central America 0 1000 t
- Northern Europe 0 1000 t
- Middle Africa 0 1000 t
- Eastern Asia 0 1000 t
- South-Eastern Asia 0 1000 t
- United States of America 0 1000 t
- Small island developing States (SIDS) -1 1000 t
- Least Developed Countries (LDCs) -2 1000 t
- Southern Asia -2 1000 t
- Africa -5 1000 t
- Northern Africa -7 1000 t
- Net Food Importing Developing Countries (NFIDCs) -56 1000 t
- South America -63 1000 t
- Americas -64 1000 t
- Western Asia -88 1000 t
- Eastern Europe -119 1000 t
- Oceania -123 1000 t
- Land Locked Developing Countries (LLDCs) -221 1000 t
- Central Asia -231 1000 t
- Low Income Food Deficit Countries (LIFDCs) -233 1000 t
- Asia -321 1000 t
- Western Europe -2,529 1000 t
- Southern Europe -3,245 1000 t
- Europe -5,893 1000 t
- European Union (27) -5,912 1000 t
- World -6,405 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.