Potatoes and products — Stock Variation 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...
Countries reporting
172
Highest
1,891 1000 t
China
Lowest
-1,185 1000 t
Russian Federation
Median
0 1000 t
Years covered
14
2010–2023
Data points
3,046
What the numbers show
Potatoes and products — Stock Variation is currently reported for 172 countries. The highest value is 1,891 1000 t in China; the lowest is -1,185 1000 t in Russian Federation.
The median across all reporting countries is 0 1000 t, and the mean is 32.19 1000 t.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 81 countries rose and 45 fell. The largest increase was in Denmark (up 9,900.0%), and the largest decrease in Kazakhstan (down 20,600.0%).
Potatoes and products — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,891 1000 t | 2023 | up 153.0% | volatile |
| 2 | China, mainland | 1,858 1000 t | 2023 | up 152.0% | volatile |
| 3 | Belgium | 964 1000 t | 2023 | up 496.7% | volatile |
| 4 | United Kingdom | 600 1000 t | 2023 | up 143.9% | volatile |
| 4 | United Kingdom of Great Britain and Northern Ireland | 600 1000 t | 2023 | up 143.9% | volatile |
| 6 | Netherlands (Kingdom of the) | 497 1000 t | 2023 | — | volatile |
| 7 | Turkey | 440 1000 t | 2023 | up 159.5% | volatile |
| 7 | Türkiye | 440 1000 t | 2023 | up 159.5% | volatile |
| 9 | Uzbekistan | 403 1000 t | 2023 | up 407.6% | volatile |
| 10 | Denmark | 300 1000 t | 2023 | up 9,900.0% | volatile |
| 11 | France | 275 1000 t | 2023 | up 118.0% | volatile |
| 12 | Ukraine | 267 1000 t | 2023 | up 115.1% | volatile |
| 13 | Bolivia (Plurinational State of) | 152 1000 t | 2023 | up 406.7% | volatile |
| 14 | Portugal | 113 1000 t | 2023 | up 140.4% | volatile |
| 15 | Romania | 91 1000 t | 2023 | up 97.8% | volatile |
| 16 | Saudi Arabia | 89 1000 t | 2023 | — | volatile |
| 17 | Brazil | 65 1000 t | 2023 | up 136.1% | volatile |
| 18 | Lebanon | 48 1000 t | 2023 | up 173.8% | volatile |
| 19 | Philippines | 46 1000 t | 2023 | up 675.0% | volatile |
| 20 | Guinea | 45 1000 t | 2023 | up 550.0% | volatile |
| 21 | Thailand | 41 1000 t | 2023 | up 1,266.7% | volatile |
| 22 | Ireland | 40 1000 t | 2023 | up 25.0% | volatile |
| 23 | Tajikistan | 39 1000 t | 2023 | down 60.6% | volatile |
| 24 | Argentina | 36 1000 t | 2023 | up 132.4% | volatile |
| 24 | Indonesia | 36 1000 t | 2023 | up 175.0% | volatile |
| 26 | Italy | 35 1000 t | 2023 | up 128.7% | volatile |
| 27 | Albania | 34 1000 t | 2023 | — | volatile |
| 28 | Croatia | 30 1000 t | 2023 | — | volatile |
| 29 | China, Taiwan Province of | 26 1000 t | 2023 | up 160.0% | volatile |
| 30 | Zimbabwe | 20 1000 t | 2023 | up 2,100.0% | volatile |
| 31 | Norway | 19 1000 t | 2023 | up 216.7% | volatile |
| 32 | Morocco | 16 1000 t | 2023 | — | volatile |
| 33 | Cameroon | 15 1000 t | 2023 | up 225.0% | volatile |
| 33 | United States | 15 1000 t | 2023 | up 112.5% | volatile |
| 33 | Caribbean | 15 1000 t | 2023 | up 275.0% | volatile |
| 36 | Greece | 14 1000 t | 2023 | — | volatile |
| 37 | Bulgaria | 12 1000 t | 2023 | down 66.7% | volatile |
| 38 | Bosnia and Herzegovina | 11 1000 t | 2023 | down 57.7% | volatile |
| 38 | Canada | 11 1000 t | 2023 | down 15.4% | volatile |
| 40 | Dominican Republic | 10 1000 t | 2023 | up 900.0% | volatile |
| 41 | Burkina Faso | 9 1000 t | 2023 | up 800.0% | volatile |
| 42 | Lithuania | 8 1000 t | 2023 | up 108.0% | volatile |
| 43 | Spain | 7 1000 t | 2023 | up 106.2% | volatile |
| 44 | Jamaica | 6 1000 t | 2023 | up 400.0% | volatile |
| 44 | Vietnam | 6 1000 t | 2023 | down 85.0% | volatile |
| 44 | China, Hong Kong SAR | 6 1000 t | 2023 | up 300.0% | volatile |
| 44 | Viet Nam | 6 1000 t | 2023 | down 85.0% | volatile |
| 48 | Cyprus | 5 1000 t | 2023 | up 122.7% | volatile |
| 48 | Slovenia | 5 1000 t | 2023 | up 116.7% | volatile |
| 50 | Estonia | 4 1000 t | 2023 | — | volatile |
| 51 | Finland | 3 1000 t | 2023 | unchanged | volatile |
| 51 | Namibia | 3 1000 t | 2023 | up 200.0% | volatile |
| 51 | Poland | 3 1000 t | 2023 | up 101.6% | volatile |
| 51 | Senegal | 3 1000 t | 2023 | up 127.3% | volatile |
| 55 | Czechia | 2 1000 t | 2023 | up 140.0% | volatile |
| 55 | Ghana | 2 1000 t | 2023 | — | volatile |
| 55 | Guatemala | 2 1000 t | 2023 | down 84.6% | volatile |
| 55 | Honduras | 2 1000 t | 2023 | — | volatile |
| 55 | Iceland | 2 1000 t | 2023 | unchanged | volatile |
| 55 | North Macedonia | 2 1000 t | 2023 | — | volatile |
| 55 | Montenegro | 2 1000 t | 2023 | up 200.0% | volatile |
| 55 | Mongolia | 2 1000 t | 2023 | down 87.5% | volatile |
| 55 | Oman | 2 1000 t | 2023 | up 300.0% | volatile |
| 55 | Peru | 2 1000 t | 2023 | — | volatile |
| 55 | Uruguay | 2 1000 t | 2023 | up 111.8% | volatile |
| 66 | Belize | 1 1000 t | 2023 | — | volatile |
| 66 | Egypt | 1 1000 t | 2023 | up 102.9% | volatile |
| 66 | Georgia | 1 1000 t | 2023 | — | volatile |
| 66 | Maldives | 1 1000 t | 2023 | up 200.0% | volatile |
| 66 | Tunisia | 1 1000 t | 2023 | up 110.0% | volatile |
| 66 | Polynesia | 1 1000 t | 2023 | — | volatile |
| 66 | Democratic Republic of the Congo | 1 1000 t | 2023 | unchanged | volatile |
| 73 | Armenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 73 | Australia | 0 1000 t | 2023 | — | volatile |
| 73 | Austria | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 73 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 73 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Congo | 0 1000 t | 2023 | — | volatile |
| 73 | Comoros | 0 1000 t | 2023 | — | volatile |
| 73 | Costa Rica | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Fiji | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Guyana | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Hungary | 0 1000 t | 2023 | — | volatile |
| 73 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Jordan | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Laos | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Libya | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 73 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Luxembourg | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Latvia | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Madagascar | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Malta | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 73 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 73 | Mauritania | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Mauritius | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Malawi | 0 1000 t | 2023 | down 100.0% | flat |
| 73 | New Caledonia | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Panama | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 73 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 73 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Serbia | 0 1000 t | 2023 | — | volatile |
| 73 | Suriname | 0 1000 t | 2023 | — | volatile |
| 73 | Eswatini | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Syria | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Turkmenistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | East Timor | 0 1000 t | 2023 | — | volatile |
| 73 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 73 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 73 | Samoa | 0 1000 t | 2023 | — | volatile |
| 73 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 73 | Cabo Verde | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Melanesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Iran (Islamic Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Republic of Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Syrian Arab Republic | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Australia and New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 73 | Lao People's Democratic Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
| 159 | Bahrain | -1 1000 t | 2023 | — | volatile |
| 159 | Barbados | -1 1000 t | 2023 | — | volatile |
| 159 | Ethiopia | -1 1000 t | 2023 | down 103.8% | volatile |
| 162 | Gambia | -2 1000 t | 2023 | — | flat |
| 163 | Afghanistan | -3 1000 t | 2023 | up 98.7% | volatile |
| 163 | Cote d'Ivoire | -3 1000 t | 2023 | — | volatile |
| 163 | Nicaragua | -3 1000 t | 2023 | up 25.0% | volatile |
| 163 | Côte d'Ivoire | -3 1000 t | 2023 | — | volatile |
| 167 | Algeria | -5 1000 t | 2023 | down 101.8% | volatile |
| 167 | Kenya | -5 1000 t | 2023 | down 101.1% | volatile |
| 167 | Lesotho | -5 1000 t | 2023 | down 200.0% | volatile |
| 167 | Yemen | -5 1000 t | 2023 | up 90.6% | volatile |
| 171 | Zambia | -7 1000 t | 2023 | down 600.0% | volatile |
| 172 | Sweden | -9 1000 t | 2023 | down 550.0% | volatile |
| 173 | Qatar | -10 1000 t | 2023 | — | volatile |
| 174 | Israel | -11 1000 t | 2023 | up 54.2% | volatile |
| 175 | Angola | -12 1000 t | 2023 | up 60.0% | volatile |
| 175 | Belarus | -12 1000 t | 2023 | up 96.0% | volatile |
| 177 | Malaysia | -13 1000 t | 2023 | down 333.3% | volatile |
| 178 | Slovakia | -15 1000 t | 2023 | up 34.8% | volatile |
| 179 | South Africa | -24 1000 t | 2023 | up 65.7% | volatile |
| 180 | Switzerland | -25 1000 t | 2023 | down 196.2% | volatile |
| 181 | Iraq | -27 1000 t | 2023 | down 123.7% | volatile |
| 182 | Bangladesh | -30 1000 t | 2023 | up 85.1% | volatile |
| 183 | Mexico | -36 1000 t | 2023 | up 2.7% | volatile |
| 184 | Azerbaijan | -43 1000 t | 2023 | down 222.9% | volatile |
| 185 | Republic of Korea | -56 1000 t | 2023 | down 143.1% | volatile |
| 186 | Kyrgyzstan | -77 1000 t | 2023 | down 862.5% | volatile |
| 187 | Chile | -83 1000 t | 2023 | down 144.1% | volatile |
| 188 | United Arab Emirates | -130 1000 t | 2023 | down 828.6% | volatile |
| 189 | Germany | -156 1000 t | 2023 | up 86.8% | volatile |
| 190 | Kazakhstan | -205 1000 t | 2023 | down 20,600.0% | volatile |
| 191 | Democratic People's Republic of Korea | -271 1000 t | 2018 | — | flat |
| 192 | Colombia | -566 1000 t | 2023 | down 2,276.9% | volatile |
| 193 | Russia | -1,185 1000 t | 2023 | — | volatile |
| 193 | Russian Federation | -1,185 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.
- World 4,155 1000 t
- Asia 2,538 1000 t
- European Union (27) 2,228 1000 t
- Europe 1,940 1000 t
- Eastern Asia 1,937 1000 t
- Western Europe 1,556 1000 t
- Northern Europe 968 1000 t
- Low Income Food Deficit Countries (LIFDCs) 511 1000 t
- Western Asia 356 1000 t
- Land Locked Developing Countries (LLDCs) 295 1000 t
- Southern Europe 251 1000 t
- Central Asia 160 1000 t
- South-Eastern Asia 116 1000 t
- Western Africa 64 1000 t
- Africa 62 1000 t
- Net Food Importing Developing Countries (NFIDCs) 39 1000 t
- Northern America 26 1000 t
- Small island developing States (SIDS) 17 1000 t
- United States of America 15 1000 t
- Northern Africa 13 1000 t
- Eastern Africa 9 1000 t
- Least Developed Countries (LDCs) 6 1000 t
- Middle Africa 4 1000 t
- Oceania 0 1000 t
- Southern Africa -27 1000 t
- Southern Asia -32 1000 t
- Central America -34 1000 t
- Americas -386 1000 t
- South America -392 1000 t
- Eastern Europe -836 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.