Fruits, other — Processing 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, other — Processing is currently reported for 58 countries. The highest value is 2,053 1000 t in China; the lowest is 0 1000 t in Bulgaria.
The median across all reporting countries is 13.5 1000 t, and the mean is 116.14 1000 t.
Over the past decade 21 countries rose and 26 fell. The largest increase was in Ukraine (up 400.0%), and the largest decrease in Bulgaria (down 100.0%).
Fruits, other — Processing: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 2,053 1000 t | 2023 | up 31.0% | rising |
| 2 | China, mainland | 2,032 1000 t | 2023 | up 31.9% | rising |
| 3 | Türkiye | 335 1000 t | 2023 | up 77.2% | rising |
| 3 | Turkey | 335 1000 t | 2023 | up 77.2% | rising |
| 5 | India | 323 1000 t | 2023 | up 25.2% | rising |
| 6 | Romania | 257 1000 t | 2023 | up 182.4% | rising |
| 7 | Thailand | 208 1000 t | 2023 | up 27.6% | rising |
| 8 | Indonesia | 107 1000 t | 2023 | down 13.0% | falling |
| 9 | South Africa | 100 1000 t | 2023 | up 58.7% | rising |
| 10 | Serbia | 88 1000 t | 2023 | down 27.3% | flat |
| 11 | Papua New Guinea | 87 1000 t | 2023 | down 14.7% | falling |
| 11 | Melanesia | 87 1000 t | 2023 | down 14.7% | falling |
| 13 | Bosnia and Herzegovina | 81 1000 t | 2023 | up 58.8% | rising |
| 14 | Brazil | 79 1000 t | 2023 | up 107.9% | rising |
| 15 | United States | 73 1000 t | 2023 | up 28.1% | falling |
| 16 | Ukraine | 60 1000 t | 2023 | up 400.0% | volatile |
| 17 | Republic of Korea | 58 1000 t | 2023 | down 6.5% | falling |
| 18 | Italy | 51 1000 t | 2023 | down 21.5% | falling |
| 19 | Germany | 34 1000 t | 2023 | down 2.9% | falling |
| 20 | Austria | 26 1000 t | 2023 | up 30.0% | rising |
| 21 | Hungary | 23 1000 t | 2023 | up 27.8% | rising |
| 22 | Spain | 21 1000 t | 2023 | up 16.7% | falling |
| 23 | Belgium | 20 1000 t | 2023 | down 58.3% | falling |
| 24 | China, Taiwan Province of | 19 1000 t | 2023 | down 29.6% | falling |
| 25 | Netherlands (Kingdom of the) | 17 1000 t | 2023 | down 59.5% | falling |
| 26 | Cote d'Ivoire | 15 1000 t | 2023 | up 200.0% | volatile |
| 26 | Côte d'Ivoire | 15 1000 t | 2023 | up 200.0% | volatile |
| 28 | Azerbaijan | 14 1000 t | 2023 | unchanged | rising |
| 28 | Australia and New Zealand | 14 1000 t | 2023 | down 12.5% | falling |
| 30 | Poland | 13 1000 t | 2023 | down 78.3% | falling |
| 31 | Kenya | 11 1000 t | 2023 | down 8.3% | falling |
| 31 | Australia | 11 1000 t | 2023 | down 8.3% | falling |
| 33 | Paraguay | 8 1000 t | 2023 | up 100.0% | rising |
| 33 | Iran (Islamic Republic of) | 8 1000 t | 2023 | — | volatile |
| 35 | Ireland | 7 1000 t | 2023 | down 30.0% | falling |
| 35 | Switzerland | 7 1000 t | 2023 | down 66.7% | falling |
| 37 | France | 5 1000 t | 2023 | down 50.0% | falling |
| 37 | Croatia | 5 1000 t | 2023 | down 58.3% | falling |
| 39 | Philippines | 4 1000 t | 2023 | unchanged | flat |
| 40 | Tunisia | 3 1000 t | 2023 | up 50.0% | rising |
| 40 | New Zealand | 3 1000 t | 2023 | down 25.0% | falling |
| 42 | China, Macao SAR | 2 1000 t | 2023 | up 100.0% | rising |
| 42 | Peru | 2 1000 t | 2023 | down 96.8% | volatile |
| 42 | Pakistan | 2 1000 t | 2023 | down 95.7% | falling |
| 42 | Czechia | 2 1000 t | 2023 | up 100.0% | rising |
| 42 | Armenia | 2 1000 t | 2023 | — | volatile |
| 47 | Republic of Moldova | 1 1000 t | 2023 | unchanged | flat |
| 47 | Zimbabwe | 1 1000 t | 2023 | unchanged | falling |
| 47 | Slovenia | 1 1000 t | 2023 | down 50.0% | volatile |
| 47 | Malaysia | 1 1000 t | 2023 | — | volatile |
| 47 | North Macedonia | 1 1000 t | 2023 | down 50.0% | falling |
| 47 | Moldova | 1 1000 t | 2023 | unchanged | flat |
| 47 | Lithuania | 1 1000 t | 2023 | down 50.0% | volatile |
| 47 | Guatemala | 1 1000 t | 2023 | down 50.0% | falling |
| 47 | Greece | 1 1000 t | 2023 | — | volatile |
| 56 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 56 | Latvia | 0 1000 t | 2023 | — | volatile |
| 56 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 4,270 1000 t
- Asia 3,115 1000 t
- Eastern Asia 2,111 1000 t
- Europe 722 1000 t
- European Union (27) 484 1000 t
- Eastern Europe 356 1000 t
- Western Asia 352 1000 t
- Southern Asia 334 1000 t
- South-Eastern Asia 319 1000 t
- Southern Europe 249 1000 t
- Americas 202 1000 t
- Africa 128 1000 t
- Northern America 112 1000 t
- Western Europe 108 1000 t
- Oceania 101 1000 t
- Southern Africa 100 1000 t
- South America 89 1000 t
- Small island developing States (SIDS) 87 1000 t
- United States of America 73 1000 t
- Net Food Importing Developing Countries (NFIDCs) 32 1000 t
- Land Locked Developing Countries (LLDCs) 27 1000 t
- Western Africa 15 1000 t
- Low Income Food Deficit Countries (LIFDCs) 12 1000 t
- Eastern Africa 12 1000 t
- Northern Europe 8 1000 t
- Northern Africa 3 1000 t
- Central America 1 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.