Potatoes and products — Other uses (non-food) 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
Potatoes and products — Other uses (non-food) is currently reported for 90 countries. The highest value is 1,457 1000 t in Germany; the lowest is 0 1000 t in Tunisia.
The median across all reporting countries is 9 1000 t, and the mean is 82.87 1000 t.
Over the past decade 24 countries rose and 40 fell. The largest increase was in Kenya (up 5,133.3%), and the largest decrease in Georgia (down 100.0%).
Potatoes and products — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 1,457 1000 t | 2023 | up 26.5% | rising |
| 2 | Ukraine | 612 1000 t | 2023 | down 14.4% | falling |
| 3 | Bangladesh | 552 1000 t | 2023 | up 11.3% | rising |
| 4 | Algeria | 513 1000 t | 2023 | down 13.3% | rising |
| 5 | Spain | 476 1000 t | 2023 | up 12.3% | flat |
| 6 | Sweden | 349 1000 t | 2023 | up 13.3% | flat |
| 7 | United Kingdom of Great Britain and Northern Ireland | 339 1000 t | 2023 | up 2.4% | rising |
| 8 | Malawi | 332 1000 t | 2023 | down 62.5% | volatile |
| 9 | Lebanon | 270 1000 t | 2023 | up 297.1% | volatile |
| 10 | Austria | 176 1000 t | 2023 | up 198.3% | volatile |
| 11 | France | 172 1000 t | 2023 | down 37.0% | falling |
| 12 | China | 170 1000 t | 2023 | down 42.6% | falling |
| 13 | Italy | 158 1000 t | 2023 | down 19.4% | falling |
| 14 | Kenya | 157 1000 t | 2023 | up 5,133.3% | volatile |
| 15 | Finland | 130 1000 t | 2023 | down 32.6% | falling |
| 16 | Libya | 128 1000 t | 2023 | up 19.6% | flat |
| 17 | Mexico | 127 1000 t | 2023 | down 19.6% | falling |
| 18 | Belarus | 122 1000 t | 2023 | down 36.5% | falling |
| 19 | Netherlands (Kingdom of the) | 112 1000 t | 2023 | down 59.6% | rising |
| 20 | Israel | 97 1000 t | 2023 | up 136.6% | rising |
| 21 | Belgium | 93 1000 t | 2023 | up 1,062.5% | volatile |
| 22 | China, Taiwan Province of | 88 1000 t | 2023 | down 43.9% | falling |
| 23 | China, mainland | 70 1000 t | 2023 | down 43.5% | volatile |
| 24 | Romania | 65 1000 t | 2023 | down 48.0% | falling |
| 25 | Greece | 56 1000 t | 2023 | up 166.7% | volatile |
| 26 | Argentina | 55 1000 t | 2023 | down 21.4% | flat |
| 27 | Portugal | 42 1000 t | 2023 | down 6.7% | rising |
| 28 | Poland | 41 1000 t | 2023 | down 85.7% | volatile |
| 29 | Hungary | 39 1000 t | 2023 | down 23.5% | falling |
| 30 | Indonesia | 38 1000 t | 2023 | up 46.2% | rising |
| 30 | Ireland | 38 1000 t | 2023 | down 40.6% | falling |
| 32 | Malaysia | 36 1000 t | 2023 | down 45.5% | falling |
| 33 | Philippines | 33 1000 t | 2023 | down 13.2% | rising |
| 33 | Russian Federation | 33 1000 t | 2023 | down 63.3% | falling |
| 35 | South Africa | 30 1000 t | 2023 | down 67.4% | falling |
| 36 | Czechia | 22 1000 t | 2023 | — | volatile |
| 37 | Kazakhstan | 19 1000 t | 2023 | down 13.6% | flat |
| 38 | Pakistan | 15 1000 t | 2023 | down 42.3% | rising |
| 39 | Cuba | 14 1000 t | 2019 | up 133.3% | rising |
| 40 | Costa Rica | 13 1000 t | 2023 | unchanged | rising |
| 41 | Dominican Republic | 12 1000 t | 2023 | up 500.0% | volatile |
| 41 | Ecuador | 12 1000 t | 2023 | up 100.0% | volatile |
| 41 | China, Hong Kong SAR | 12 1000 t | 2023 | down 14.3% | volatile |
| 44 | India | 11 1000 t | 2021 | up 57.1% | volatile |
| 45 | United Arab Emirates | 9 1000 t | 2023 | down 10.0% | volatile |
| 45 | Bulgaria | 9 1000 t | 2023 | down 30.8% | falling |
| 47 | Azerbaijan | 8 1000 t | 2023 | down 74.2% | volatile |
| 47 | Brazil | 8 1000 t | 2023 | up 14.3% | rising |
| 47 | Chile | 8 1000 t | 2023 | unchanged | rising |
| 47 | Egypt | 8 1000 t | 2023 | down 73.3% | volatile |
| 47 | Norway | 8 1000 t | 2023 | up 166.7% | volatile |
| 47 | Paraguay | 8 1000 t | 2023 | up 300.0% | volatile |
| 47 | Uruguay | 8 1000 t | 2023 | up 14.3% | rising |
| 54 | Honduras | 7 1000 t | 2023 | up 133.3% | rising |
| 55 | Zimbabwe | 5 1000 t | 2023 | — | volatile |
| 56 | Guatemala | 4 1000 t | 2023 | down 98.1% | volatile |
| 56 | Uzbekistan | 4 1000 t | 2023 | unchanged | volatile |
| 58 | Colombia | 3 1000 t | 2023 | unchanged | rising |
| 58 | North Macedonia | 3 1000 t | 2023 | unchanged | rising |
| 58 | El Salvador | 3 1000 t | 2023 | up 200.0% | rising |
| 58 | Suriname | 3 1000 t | 2023 | down 50.0% | falling |
| 62 | Albania | 2 1000 t | 2023 | down 50.0% | volatile |
| 62 | Croatia | 2 1000 t | 2023 | unchanged | rising |
| 62 | Yemen | 2 1000 t | 2023 | up 100.0% | volatile |
| 65 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | volatile |
| 65 | Cyprus | 1 1000 t | 2023 | unchanged | falling |
| 65 | Kuwait | 1 1000 t | 2023 | unchanged | volatile |
| 65 | Latvia | 1 1000 t | 2023 | down 88.9% | volatile |
| 65 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 65 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 65 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 65 | Oman | 1 1000 t | 2023 | — | volatile |
| 65 | Senegal | 1 1000 t | 2023 | — | volatile |
| 65 | Serbia | 1 1000 t | 2023 | unchanged | flat |
| 75 | Botswana | 0 1000 t | 2023 | — | volatile |
| 75 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | Gambia | 0 1000 t | 2021 | — | volatile |
| 75 | Iceland | 0 1000 t | 2023 | — | volatile |
| 75 | Jordan | 0 1000 t | 2023 | down 100.0% | falling |
| 75 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 75 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 75 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 75 | Namibia | 0 1000 t | 2023 | — | volatile |
| 75 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | Qatar | 0 1000 t | 2023 | — | volatile |
| 75 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 75 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 75 | Tunisia | 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 8,182 1000 t
- Asia 1,360 1000 t
- Europe 4,563 1000 t
- Least Developed Countries (LDCs) 890 1000 t
- European Union (27) 3,440 1000 t
- Türkiye 59 1000 t
- Western Europe 2,010 1000 t
- Small island developing States (SIDS) 24 1000 t
- Africa 1,175 1000 t
- Venezuela (Bolivarian Republic of) 21 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,123 1000 t
- Bolivia (Plurinational State of) 17 1000 t
- Americas 1,083 1000 t
- Iran (Islamic Republic of) 3 1000 t
- Eastern Europe 946 1000 t
- Republic of Moldova 2 1000 t
- Northern Europe 865 1000 t
- Syrian Arab Republic 1 1000 t
- Northern America 765 1000 t
- United States of America 765 1000 t
- Middle Africa 0 1000 t
- Southern Europe 743 1000 t
- Northern Africa 649 1000 t
- Southern Asia 571 1000 t
- Low Income Food Deficit Countries (LIFDCs) 504 1000 t
- Eastern Africa 494 1000 t
- Western Asia 451 1000 t
- Land Locked Developing Countries (LLDCs) 399 1000 t
- Eastern Asia 205 1000 t
- Central America 156 1000 t
- South America 142 1000 t
- South-Eastern Asia 108 1000 t
- Southern Africa 30 1000 t
- Central Asia 24 1000 t
- Caribbean 21 1000 t
- Western Africa 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.