Fruits - Excluding Wine — Feed 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
Fruits - Excluding Wine — Feed is currently reported for 58 countries. The highest value is 421 1000 t in Colombia; the lowest is 0 1000 t in Grenada.
The median across all reporting countries is 16 1000 t, and the mean is 52.17 1000 t.
Over the past decade 22 countries rose and 20 fell. The largest increase was in Guyana (up 1,466.7%), and the largest decrease in Democratic Republic of the Congo (down 100.0%).
Fruits - Excluding Wine — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Colombia | 421 1000 t | 2023 | down 29.8% | falling |
| 2 | Philippines | 301 1000 t | 2023 | down 38.6% | falling |
| 3 | Caribbean | 241 1000 t | 2023 | up 56.5% | rising |
| 4 | Costa Rica | 212 1000 t | 2023 | down 50.4% | volatile |
| 5 | Belarus | 211 1000 t | 2023 | up 33.5% | rising |
| 6 | United Arab Emirates | 156 1000 t | 2023 | up 47.2% | volatile |
| 7 | Uzbekistan | 145 1000 t | 2023 | up 28.3% | rising |
| 8 | Romania | 137 1000 t | 2023 | up 2.2% | rising |
| 9 | Bolivia (Plurinational State of) | 114 1000 t | 2023 | up 153.3% | rising |
| 10 | Dominican Republic | 113 1000 t | 2023 | up 182.5% | rising |
| 11 | Tajikistan | 91 1000 t | 2023 | down 15.7% | flat |
| 12 | Guatemala | 85 1000 t | 2023 | down 65.0% | falling |
| 13 | Libya | 70 1000 t | 2023 | up 22.8% | rising |
| 14 | Haiti | 69 1000 t | 2023 | up 38.0% | flat |
| 15 | Tunisia | 60 1000 t | 2023 | up 200.0% | rising |
| 16 | Saint Vincent and the Grenadines | 50 1000 t | 2023 | up 4.2% | rising |
| 17 | Ukraine | 48 1000 t | 2023 | down 23.8% | volatile |
| 18 | Guyana | 47 1000 t | 2023 | up 1,466.7% | volatile |
| 18 | Morocco | 47 1000 t | 2023 | up 80.8% | rising |
| 20 | Ecuador | 41 1000 t | 2023 | up 485.7% | volatile |
| 21 | Nicaragua | 39 1000 t | 2023 | up 457.1% | volatile |
| 22 | Panama | 37 1000 t | 2023 | up 48.0% | rising |
| 23 | Papua New Guinea | 32 1000 t | 2023 | down 52.9% | falling |
| 23 | Melanesia | 32 1000 t | 2023 | down 53.6% | falling |
| 25 | Venezuela (Bolivarian Republic of) | 31 1000 t | 2023 | up 14.8% | rising |
| 26 | Iraq | 29 1000 t | 2023 | down 54.0% | falling |
| 27 | Georgia | 19 1000 t | 2023 | down 44.1% | falling |
| 27 | Turkmenistan | 19 1000 t | 2023 | up 11.8% | rising |
| 29 | Kyrgyzstan | 18 1000 t | 2023 | unchanged | rising |
| 30 | Greece | 14 1000 t | 2023 | unchanged | rising |
| 31 | United Republic of Tanzania | 11 1000 t | 2023 | down 8.3% | falling |
| 31 | Hungary | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 33 | Paraguay | 9 1000 t | 2023 | up 12.5% | rising |
| 33 | El Salvador | 9 1000 t | 2023 | unchanged | rising |
| 35 | Cuba | 6 1000 t | 2019 | down 53.8% | falling |
| 35 | Spain | 6 1000 t | 2023 | down 40.0% | volatile |
| 35 | Bahrain | 6 1000 t | 2023 | — | falling |
| 35 | Honduras | 6 1000 t | 2023 | unchanged | rising |
| 39 | Lebanon | 5 1000 t | 2023 | up 150.0% | volatile |
| 39 | Oman | 5 1000 t | 2023 | up 25.0% | rising |
| 41 | Samoa | 3 1000 t | 2023 | down 25.0% | falling |
| 41 | Qatar | 3 1000 t | 2023 | — | falling |
| 41 | Polynesia | 3 1000 t | 2023 | down 25.0% | falling |
| 44 | Montenegro | 2 1000 t | 2023 | unchanged | falling |
| 44 | Saint Lucia | 2 1000 t | 2023 | down 66.7% | volatile |
| 44 | Kuwait | 2 1000 t | 2023 | — | volatile |
| 47 | Portugal | 1 1000 t | 2023 | unchanged | falling |
| 47 | Lithuania | 1 1000 t | 2023 | down 50.0% | volatile |
| 47 | Suriname | 1 1000 t | 2023 | down 75.0% | volatile |
| 47 | Jamaica | 1 1000 t | 2023 | — | rising |
| 47 | Jordan | 1 1000 t | 2019 | unchanged | falling |
| 47 | Kazakhstan | 1 1000 t | 2023 | unchanged | volatile |
| 47 | Belgium | 1 1000 t | 2023 | unchanged | volatile |
| 47 | Belize | 1 1000 t | 2023 | unchanged | flat |
| 55 | Armenia | 0 1000 t | 2023 | — | volatile |
| 55 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 55 | Grenada | 0 1000 t | 2023 | down 100.0% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2,750 1000 t
- Americas 1,295 1000 t
- Asia 799 1000 t
- South America 665 1000 t
- Europe 432 1000 t
- Net Food Importing Developing Countries (NFIDCs) 409 1000 t
- Eastern Europe 407 1000 t
- Land Locked Developing Countries (LLDCs) 397 1000 t
- Central America 389 1000 t
- Low Income Food Deficit Countries (LIFDCs) 373 1000 t
- Small island developing States (SIDS) 326 1000 t
- South-Eastern Asia 301 1000 t
- Central Asia 274 1000 t
- Western Asia 224 1000 t
- Africa 188 1000 t
- Northern Africa 178 1000 t
- European Union (27) 171 1000 t
- Least Developed Countries (LDCs) 80 1000 t
- Oceania 36 1000 t
- Southern Europe 23 1000 t
- Eastern Africa 11 1000 t
- Northern Europe 1 1000 t
- Western Europe 1 1000 t
- Middle Africa 0 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.