Potatoes and products — 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
Potatoes and products — Residuals is currently reported for 72 countries. The highest value is 1 1000 t in Armenia; the lowest is -940 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 0 1000 t, and the mean is -18.99 1000 t.
Over the past decade 4 countries rose and 10 fell. The largest increase was in Canada (up 100.0%), and the largest decrease in Côte d'Ivoire (down 250.0%).
Potatoes and products — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Armenia | 1 1000 t | 2023 | — | volatile |
| 2 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 2 | Morocco | 0 1000 t | 2023 | — | volatile |
| 2 | Syria | 0 1000 t | 2023 | — | volatile |
| 2 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 2 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 2 | Poland | 0 1000 t | 2023 | — | volatile |
| 2 | Philippines | 0 1000 t | 2023 | — | volatile |
| 2 | Panama | 0 1000 t | 2023 | — | volatile |
| 2 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 2 | Norway | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 2 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 2 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 2 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 2 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 2 | Turkey | 0 1000 t | 2023 | — | volatile |
| 2 | Uganda | 0 1000 t | 2023 | — | volatile |
| 2 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 2 | Yemen | 0 1000 t | 2023 | — | volatile |
| 2 | Zambia | 0 1000 t | 2023 | — | volatile |
| 2 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 2 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 2 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 2 | Türkiye | 0 1000 t | 2023 | — | volatile |
| 2 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 2 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 2 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 2 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 2 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 2 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Belarus | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 2 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 2 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Denmark | 0 1000 t | 2023 | — | volatile |
| 2 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 2 | Egypt | 0 1000 t | 2023 | — | volatile |
| 2 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | France | 0 1000 t | 2023 | — | volatile |
| 2 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 2 | Belgium | 0 1000 t | 2023 | — | volatile |
| 2 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 2 | Guyana | 0 1000 t | 2023 | — | volatile |
| 2 | Austria | 0 1000 t | 2023 | — | volatile |
| 2 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 2 | Jordan | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 2 | Laos | 0 1000 t | 2023 | — | volatile |
| 2 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Ghana | 0 1000 t | 2023 | — | volatile |
| 177 | Cameroon | -1 1000 t | 2023 | — | volatile |
| 177 | Nigeria | -1 1000 t | 2023 | — | volatile |
| 177 | Sweden | -1 1000 t | 2023 | — | volatile |
| 177 | Caribbean | -1 1000 t | 2023 | — | volatile |
| 177 | Bahamas | -1 1000 t | 2023 | — | volatile |
| 182 | Latvia | -2 1000 t | 2023 | — | volatile |
| 182 | Republic of Korea | -2 1000 t | 2023 | — | volatile |
| 184 | Bulgaria | -3 1000 t | 2023 | — | volatile |
| 184 | Russia | -3 1000 t | 2023 | down 101.8% | volatile |
| 184 | Russian Federation | -3 1000 t | 2023 | down 101.8% | volatile |
| 187 | Czechia | -5 1000 t | 2023 | — | volatile |
| 188 | Côte d'Ivoire | -7 1000 t | 2023 | down 250.0% | volatile |
| 188 | Cote d'Ivoire | -7 1000 t | 2023 | down 250.0% | volatile |
| 190 | India | -10 1000 t | 2023 | — | volatile |
| 191 | Kenya | -11 1000 t | 2023 | — | volatile |
| 192 | China, mainland | -185 1000 t | 2023 | — | volatile |
| 192 | China | -185 1000 t | 2023 | — | volatile |
| 194 | Netherlands (Kingdom of the) | -940 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Land Locked Developing Countries (LLDCs) 1 1000 t
- Western Asia 1 1000 t
- Southern Europe 0 1000 t
- Central America 0 1000 t
- Central Asia 0 1000 t
- Least Developed Countries (LDCs) 0 1000 t
- Northern America 0 1000 t
- South America 0 1000 t
- Oceania 0 1000 t
- South-Eastern Asia 0 1000 t
- Americas -1 1000 t
- Middle Africa -1 1000 t
- Northern Africa -1 1000 t
- Small island developing States (SIDS) -2 1000 t
- Northern Europe -3 1000 t
- Western Africa -9 1000 t
- Southern Asia -10 1000 t
- Eastern Africa -11 1000 t
- Eastern Europe -12 1000 t
- Low Income Food Deficit Countries (LIFDCs) -13 1000 t
- Net Food Importing Developing Countries (NFIDCs) -19 1000 t
- Africa -21 1000 t
- Eastern Asia -188 1000 t
- Asia -198 1000 t
- Western Europe -940 1000 t
- European Union (27) -951 1000 t
- Europe -955 1000 t
- World -1,174 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.