Potatoes and products — Import quantity 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 — Import quantity is currently reported for 188 countries. The highest value is 5,572 1000 t in United States; the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 49 1000 t, and the mean is 268.31 1000 t.
Over the past decade 123 countries rose and 42 fell. The largest increase was in Uzbekistan (up 2,460.9%), and the largest decrease in Ethiopia (down 100.0%).
Potatoes and products — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 5,572 1000 t | 2023 | up 82.3% | rising |
| 2 | Belgium | 5,126 1000 t | 2023 | up 148.6% | rising |
| 3 | Netherlands (Kingdom of the) | 3,519 1000 t | 2023 | up 37.6% | rising |
| 4 | United Kingdom | 2,367 1000 t | 2023 | down 8.0% | rising |
| 4 | United Kingdom of Great Britain and Northern Ireland | 2,367 1000 t | 2023 | down 8.0% | rising |
| 6 | Spain | 2,335 1000 t | 2023 | up 44.8% | rising |
| 7 | France | 2,322 1000 t | 2023 | up 20.3% | rising |
| 8 | Italy | 2,076 1000 t | 2023 | up 30.9% | rising |
| 9 | Germany | 1,855 1000 t | 2023 | up 4.6% | rising |
| 10 | China | 800 1000 t | 2023 | down 20.2% | falling |
| 11 | Saudi Arabia | 784 1000 t | 2023 | up 72.7% | rising |
| 12 | Malaysia | 759 1000 t | 2023 | up 65.4% | rising |
| 13 | Brazil | 745 1000 t | 2023 | down 5.6% | rising |
| 14 | Poland | 743 1000 t | 2023 | up 156.2% | rising |
| 15 | Portugal | 721 1000 t | 2023 | up 29.7% | rising |
| 16 | Australia and New Zealand | 652 1000 t | 2023 | up 39.6% | rising |
| 17 | Republic of Korea | 646 1000 t | 2023 | up 27.4% | rising |
| 18 | United Arab Emirates | 625 1000 t | 2023 | up 164.8% | rising |
| 19 | Mexico | 591 1000 t | 2023 | up 14.3% | rising |
| 20 | Uzbekistan | 589 1000 t | 2023 | up 2,460.9% | volatile |
| 21 | Australia | 585 1000 t | 2023 | up 84.0% | rising |
| 22 | Romania | 574 1000 t | 2023 | up 110.3% | rising |
| 23 | Greece | 495 1000 t | 2023 | up 86.1% | rising |
| 24 | Canada | 488 1000 t | 2023 | down 13.6% | falling |
| 25 | Russia | 438 1000 t | 2023 | down 43.2% | falling |
| 25 | Russian Federation | 438 1000 t | 2023 | down 43.2% | falling |
| 27 | Philippines | 402 1000 t | 2023 | up 235.0% | rising |
| 28 | Czechia | 401 1000 t | 2023 | up 32.8% | rising |
| 29 | Ireland | 373 1000 t | 2023 | up 19.9% | rising |
| 30 | Sweden | 370 1000 t | 2023 | up 26.3% | rising |
| 31 | Caribbean | 319 1000 t | 2023 | up 143.5% | rising |
| 32 | Afghanistan | 315 1000 t | 2023 | — | volatile |
| 33 | Thailand | 313 1000 t | 2023 | up 49.8% | rising |
| 34 | Chile | 308 1000 t | 2023 | up 76.0% | rising |
| 35 | China, Taiwan Province of | 304 1000 t | 2023 | down 12.6% | rising |
| 36 | Indonesia | 281 1000 t | 2023 | up 84.9% | rising |
| 37 | Nepal | 277 1000 t | 2023 | up 24.8% | rising |
| 38 | Austria | 267 1000 t | 2023 | up 32.2% | rising |
| 39 | Hungary | 242 1000 t | 2023 | up 71.6% | rising |
| 40 | Colombia | 241 1000 t | 2023 | up 100.8% | rising |
| 41 | China, mainland | 240 1000 t | 2023 | down 39.4% | falling |
| 42 | Vietnam | 230 1000 t | 2023 | up 170.6% | volatile |
| 42 | China, Hong Kong SAR | 230 1000 t | 2023 | down 8.0% | falling |
| 42 | Viet Nam | 230 1000 t | 2023 | up 170.6% | volatile |
| 45 | Slovakia | 223 1000 t | 2023 | up 145.1% | rising |
| 46 | Denmark | 219 1000 t | 2023 | down 6.0% | flat |
| 47 | Oman | 215 1000 t | 2023 | up 112.9% | rising |
| 48 | Kuwait | 191 1000 t | 2023 | down 3.5% | rising |
| 49 | Jordan | 190 1000 t | 2023 | up 33.8% | rising |
| 50 | Azerbaijan | 186 1000 t | 2023 | up 158.3% | rising |
| 51 | Sri Lanka | 174 1000 t | 2023 | up 33.8% | rising |
| 52 | Peru | 154 1000 t | 2023 | up 35.1% | rising |
| 53 | Croatia | 147 1000 t | 2023 | up 153.4% | rising |
| 54 | Egypt | 146 1000 t | 2023 | down 33.6% | flat |
| 55 | Slovenia | 143 1000 t | 2023 | up 138.3% | rising |
| 56 | Bulgaria | 133 1000 t | 2023 | up 38.5% | rising |
| 57 | Iraq | 132 1000 t | 2023 | down 33.0% | volatile |
| 58 | Morocco | 128 1000 t | 2023 | up 58.0% | rising |
| 59 | Turkey | 126 1000 t | 2023 | up 85.3% | rising |
| 59 | Türkiye | 126 1000 t | 2023 | up 85.3% | rising |
| 61 | Dominican Republic | 124 1000 t | 2023 | up 1,027.3% | volatile |
| 62 | Serbia | 120 1000 t | 2023 | up 130.8% | rising |
| 63 | Switzerland | 118 1000 t | 2023 | down 5.6% | flat |
| 64 | Uganda | 114 1000 t | 2023 | up 1,040.0% | volatile |
| 65 | Algeria | 112 1000 t | 2023 | down 30.0% | falling |
| 66 | Bangladesh | 107 1000 t | 2023 | up 1,683.3% | volatile |
| 66 | Kazakhstan | 107 1000 t | 2023 | down 23.6% | falling |
| 68 | Israel | 106 1000 t | 2023 | up 43.2% | rising |
| 69 | El Salvador | 103 1000 t | 2023 | up 19.8% | rising |
| 70 | Guatemala | 99 1000 t | 2023 | up 120.0% | rising |
| 71 | Qatar | 98 1000 t | 2023 | — | falling |
| 72 | Finland | 95 1000 t | 2023 | up 5.6% | flat |
| 73 | Mozambique | 94 1000 t | 2023 | up 184.8% | volatile |
| 74 | Honduras | 90 1000 t | 2023 | up 200.0% | rising |
| 74 | Senegal | 90 1000 t | 2023 | up 36.4% | flat |
| 76 | Costa Rica | 88 1000 t | 2023 | up 66.0% | rising |
| 77 | Lebanon | 85 1000 t | 2023 | down 33.1% | falling |
| 77 | Lithuania | 85 1000 t | 2023 | up 73.5% | rising |
| 79 | Uruguay | 80 1000 t | 2023 | up 35.6% | rising |
| 80 | South Africa | 75 1000 t | 2023 | down 24.2% | flat |
| 81 | Trinidad and Tobago | 73 1000 t | 2023 | up 43.1% | rising |
| 82 | Latvia | 72 1000 t | 2023 | up 105.7% | rising |
| 83 | Panama | 69 1000 t | 2023 | up 81.6% | rising |
| 83 | Paraguay | 69 1000 t | 2023 | up 228.6% | rising |
| 85 | Ukraine | 68 1000 t | 2023 | up 6.2% | volatile |
| 86 | New Zealand | 67 1000 t | 2023 | down 55.0% | falling |
| 87 | Bahrain | 62 1000 t | 2023 | — | falling |
| 88 | Melanesia | 57 1000 t | 2023 | unchanged | rising |
| 89 | Cote d'Ivoire | 56 1000 t | 2023 | up 154.5% | rising |
| 89 | Côte d'Ivoire | 56 1000 t | 2023 | up 154.5% | rising |
| 91 | Moldova | 54 1000 t | 2023 | up 74.2% | rising |
| 91 | Republic of Moldova | 54 1000 t | 2023 | up 74.2% | rising |
| 93 | Mauritania | 53 1000 t | 2023 | up 89.3% | rising |
| 94 | Bosnia and Herzegovina | 49 1000 t | 2023 | up 58.1% | rising |
| 94 | Tajikistan | 49 1000 t | 2023 | up 8.9% | falling |
| 96 | Argentina | 48 1000 t | 2023 | up 29.7% | rising |
| 96 | Jamaica | 48 1000 t | 2023 | up 118.2% | rising |
| 98 | Libya | 47 1000 t | 2023 | down 25.4% | rising |
| 98 | Venezuela (Bolivarian Republic of) | 47 1000 t | 2023 | up 27.0% | volatile |
| 100 | Estonia | 45 1000 t | 2023 | up 40.6% | rising |
| 101 | Georgia | 44 1000 t | 2023 | up 193.3% | rising |
| 102 | Djibouti | 41 1000 t | 2023 | up 173.3% | rising |
| 103 | North Macedonia | 39 1000 t | 2023 | up 105.3% | rising |
| 104 | Ecuador | 36 1000 t | 2023 | up 89.5% | rising |
| 105 | Cyprus | 34 1000 t | 2023 | up 13.3% | rising |
| 106 | Namibia | 33 1000 t | 2023 | up 3.1% | rising |
| 106 | Pakistan | 33 1000 t | 2023 | down 36.5% | volatile |
| 108 | Cuba | 32 1000 t | 2019 | up 18.5% | rising |
| 109 | Fiji | 31 1000 t | 2023 | up 14.8% | rising |
| 110 | Albania | 29 1000 t | 2023 | up 7.4% | rising |
| 110 | Tunisia | 29 1000 t | 2023 | down 23.7% | falling |
| 112 | Belarus | 28 1000 t | 2023 | down 40.4% | falling |
| 113 | Botswana | 27 1000 t | 2023 | down 12.9% | rising |
| 114 | Norway | 25 1000 t | 2023 | down 64.3% | falling |
| 114 | China, Macao SAR | 25 1000 t | 2023 | up 177.8% | rising |
| 116 | Luxembourg | 24 1000 t | 2023 | up 9.1% | flat |
| 116 | Bolivia (Plurinational State of) | 24 1000 t | 2023 | down 11.1% | rising |
| 118 | India | 23 1000 t | 2023 | up 4.5% | flat |
| 119 | Malta | 22 1000 t | 2023 | up 22.2% | flat |
| 120 | Nicaragua | 21 1000 t | 2023 | up 40.0% | rising |
| 120 | Eswatini | 21 1000 t | 2023 | up 40.0% | falling |
| 120 | Polynesia | 21 1000 t | 2023 | up 61.5% | rising |
| 123 | Montenegro | 20 1000 t | 2023 | up 53.8% | rising |
| 124 | Barbados | 18 1000 t | 2023 | up 5.9% | rising |
| 124 | Guyana | 18 1000 t | 2023 | up 63.6% | rising |
| 124 | Mauritius | 18 1000 t | 2023 | down 18.2% | rising |
| 127 | Armenia | 17 1000 t | 2023 | up 240.0% | rising |
| 127 | Bahamas | 17 1000 t | 2023 | up 112.5% | rising |
| 127 | Maldives | 17 1000 t | 2023 | up 142.9% | rising |
| 127 | Suriname | 17 1000 t | 2023 | down 5.6% | rising |
| 131 | Papua New Guinea | 15 1000 t | 2023 | up 50.0% | rising |
| 131 | French Polynesia | 15 1000 t | 2023 | up 25.0% | rising |
| 133 | Ghana | 14 1000 t | 2023 | up 16.7% | volatile |
| 134 | Burkina Faso | 13 1000 t | 2023 | up 225.0% | volatile |
| 134 | Gabon | 13 1000 t | 2023 | down 7.1% | rising |
| 134 | Iceland | 13 1000 t | 2023 | up 44.4% | rising |
| 134 | Nigeria | 13 1000 t | 2023 | up 62.5% | rising |
| 134 | Zimbabwe | 13 1000 t | 2023 | up 225.0% | volatile |
| 134 | Democratic Republic of the Congo | 13 1000 t | 2023 | down 62.9% | falling |
| 140 | Syria | 12 1000 t | 2023 | down 92.5% | rising |
| 140 | Cabo Verde | 12 1000 t | 2023 | up 33.3% | rising |
| 140 | Syrian Arab Republic | 12 1000 t | 2023 | down 92.5% | rising |
| 143 | Yemen | 11 1000 t | 2023 | down 31.2% | volatile |
| 144 | Angola | 10 1000 t | 2023 | down 74.4% | volatile |
| 144 | New Caledonia | 10 1000 t | 2023 | unchanged | falling |
| 146 | Lesotho | 9 1000 t | 2023 | up 80.0% | falling |
| 146 | Turkmenistan | 9 1000 t | 2023 | unchanged | volatile |
| 146 | United Republic of Tanzania | 9 1000 t | 2023 | unchanged | volatile |
| 149 | Gambia | 8 1000 t | 2023 | up 33.3% | rising |
| 149 | Myanmar | 8 1000 t | 2023 | — | volatile |
| 149 | Mongolia | 8 1000 t | 2023 | up 166.7% | volatile |
| 152 | Cambodia | 7 1000 t | 2023 | up 600.0% | volatile |
| 153 | Guinea | 6 1000 t | 2023 | — | volatile |
| 153 | Kyrgyzstan | 6 1000 t | 2023 | up 200.0% | volatile |
| 153 | Seychelles | 6 1000 t | 2023 | up 100.0% | rising |
| 153 | Zambia | 6 1000 t | 2023 | down 25.0% | rising |
| 157 | Belize | 5 1000 t | 2023 | up 25.0% | rising |
| 157 | Bhutan | 5 1000 t | 2023 | — | flat |
| 157 | Congo | 5 1000 t | 2023 | up 25.0% | rising |
| 157 | Saint Lucia | 5 1000 t | 2023 | up 66.7% | rising |
| 157 | Niger | 5 1000 t | 2023 | up 66.7% | rising |
| 162 | Samoa | 4 1000 t | 2023 | up 100.0% | rising |
| 163 | Antigua and Barbuda | 3 1000 t | 2023 | up 50.0% | rising |
| 163 | Grenada | 3 1000 t | 2023 | up 200.0% | rising |
| 163 | East Timor | 3 1000 t | 2023 | up 200.0% | volatile |
| 163 | Timor-Leste | 3 1000 t | 2023 | up 200.0% | volatile |
| 167 | Cameroon | 2 1000 t | 2023 | — | volatile |
| 167 | Guinea-Bissau | 2 1000 t | 2023 | down 33.3% | falling |
| 167 | Kenya | 2 1000 t | 2023 | up 100.0% | volatile |
| 167 | Saint Kitts and Nevis | 2 1000 t | 2023 | up 100.0% | rising |
| 167 | Sierra Leone | 2 1000 t | 2023 | unchanged | rising |
| 167 | Tonga | 2 1000 t | 2023 | — | rising |
| 167 | Saint Vincent and the Grenadines | 2 1000 t | 2023 | up 100.0% | rising |
| 167 | Vanuatu | 2 1000 t | 2023 | down 80.0% | volatile |
| 167 | Iran (Islamic Republic of) | 2 1000 t | 2023 | down 80.0% | volatile |
| 176 | Comoros | 1 1000 t | 2023 | — | volatile |
| 176 | Laos | 1 1000 t | 2023 | — | volatile |
| 176 | Liberia | 1 1000 t | 2023 | unchanged | rising |
| 176 | Malawi | 1 1000 t | 2023 | — | volatile |
| 176 | Rwanda | 1 1000 t | 2023 | down 50.0% | volatile |
| 176 | Micronesia | 1 1000 t | 2023 | — | volatile |
| 176 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 183 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 183 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 183 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 183 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 183 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 183 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 46,462 1000 t
- Europe 25,995 1000 t
- European Union (27) 22,661 1000 t
- Western Europe 13,230 1000 t
- Americas 9,231 1000 t
- Asia 9,151 1000 t
- Southern Europe 6,196 1000 t
- Northern America 6,060 1000 t
- United States of America 5,572 1000 t
- Northern Europe 3,665 1000 t
- Western Asia 2,925 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,915 1000 t
- Eastern Europe 2,905 1000 t
- Eastern Asia 2,508 1000 t
- South-Eastern Asia 2,003 1000 t
- Land Locked Developing Countries (LLDCs) 1,999 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,834 1000 t
- South America 1,787 1000 t
- Africa 1,355 1000 t
- Least Developed Countries (LDCs) 1,316 1000 t
- Central America 1,066 1000 t
- Southern Asia 954 1000 t
- Central Asia 760 1000 t
- Oceania 730 1000 t
- Small island developing States (SIDS) 495 1000 t
- Northern Africa 465 1000 t
- Eastern Africa 375 1000 t
- Western Africa 308 1000 t
- Southern Africa 164 1000 t
- Middle Africa 44 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.