Potatoes and products — Losses 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
154
Highest
14,079 1000 t
India
Lowest
0 1000 t
Lao People's Democratic Republic
Median
27.5 1000 t
Years covered
14
2010–2023
Data points
2,840
What the numbers show
Potatoes and products — Losses is currently reported for 154 countries. The highest value is 14,079 1000 t in India; the lowest is 0 1000 t in Lao People's Democratic Republic.
The median across all reporting countries is 27.5 1000 t, and the mean is 290.01 1000 t.
Over the past decade 74 countries rose and 63 fell. The largest increase was in Zimbabwe (up 3,800.0%), and the largest decrease in Botswana (down 100.0%).
Potatoes and products — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 14,079 1000 t | 2023 | up 36.8% | rising |
| 2 | China | 3,997 1000 t | 2023 | down 7.0% | flat |
| 3 | China, mainland | 3,992 1000 t | 2023 | down 7.0% | flat |
| 4 | Ukraine | 3,331 1000 t | 2023 | down 10.2% | flat |
| 5 | Russia | 1,337 1000 t | 2023 | down 32.6% | falling |
| 5 | Russian Federation | 1,337 1000 t | 2023 | down 32.6% | falling |
| 7 | Algeria | 1,335 1000 t | 2023 | down 6.2% | rising |
| 7 | Egypt | 1,335 1000 t | 2023 | up 61.8% | rising |
| 9 | France | 1,262 1000 t | 2023 | up 20.2% | rising |
| 10 | Peru | 1,255 1000 t | 2023 | up 18.5% | rising |
| 11 | United States | 1,212 1000 t | 2023 | up 1.9% | falling |
| 12 | Bangladesh | 790 1000 t | 2023 | up 22.1% | rising |
| 13 | Pakistan | 626 1000 t | 2023 | up 118.9% | rising |
| 14 | Nepal | 514 1000 t | 2023 | up 27.5% | rising |
| 15 | Canada | 505 1000 t | 2023 | up 17.2% | rising |
| 16 | Kazakhstan | 445 1000 t | 2023 | up 58.9% | rising |
| 17 | Denmark | 418 1000 t | 2023 | up 62.0% | rising |
| 18 | Poland | 365 1000 t | 2023 | down 8.8% | falling |
| 19 | Brazil | 314 1000 t | 2023 | up 17.6% | rising |
| 20 | Turkey | 306 1000 t | 2023 | down 22.5% | falling |
| 20 | Türkiye | 306 1000 t | 2023 | down 22.5% | falling |
| 22 | Germany | 304 1000 t | 2023 | down 75.3% | volatile |
| 23 | Morocco | 260 1000 t | 2023 | down 4.8% | flat |
| 24 | Belgium | 246 1000 t | 2023 | up 56.7% | rising |
| 25 | Kenya | 233 1000 t | 2023 | up 41.2% | rising |
| 26 | Iran (Islamic Republic of) | 224 1000 t | 2023 | down 35.3% | falling |
| 27 | Belarus | 203 1000 t | 2023 | up 84.5% | rising |
| 28 | Argentina | 198 1000 t | 2023 | up 6.5% | rising |
| 29 | Colombia | 194 1000 t | 2023 | up 21.2% | rising |
| 29 | Kyrgyzstan | 194 1000 t | 2023 | up 212.9% | volatile |
| 31 | Netherlands (Kingdom of the) | 176 1000 t | 2023 | down 4.9% | flat |
| 32 | Malawi | 156 1000 t | 2023 | down 65.6% | volatile |
| 33 | Mexico | 151 1000 t | 2023 | up 22.8% | rising |
| 34 | Spain | 141 1000 t | 2023 | up 6.8% | falling |
| 35 | Czechia | 129 1000 t | 2023 | up 3,125.0% | volatile |
| 36 | South Africa | 113 1000 t | 2023 | down 31.1% | falling |
| 37 | Romania | 109 1000 t | 2023 | down 59.3% | falling |
| 38 | Nigeria | 91 1000 t | 2023 | up 7.1% | rising |
| 39 | Ethiopia | 90 1000 t | 2023 | up 52.5% | rising |
| 40 | Venezuela (Bolivarian Republic of) | 84 1000 t | 2023 | up 147.1% | rising |
| 41 | Tajikistan | 79 1000 t | 2023 | down 4.8% | rising |
| 42 | Sweden | 76 1000 t | 2023 | up 1.3% | flat |
| 43 | Austria | 75 1000 t | 2023 | up 56.2% | rising |
| 44 | Norway | 69 1000 t | 2023 | up 130.0% | rising |
| 45 | Guatemala | 66 1000 t | 2023 | up 450.0% | volatile |
| 46 | Azerbaijan | 64 1000 t | 2023 | up 966.7% | volatile |
| 47 | Chile | 63 1000 t | 2023 | down 27.6% | falling |
| 48 | Democratic People's Republic of Korea | 57 1000 t | 2018 | down 55.8% | falling |
| 49 | United Kingdom | 56 1000 t | 2023 | down 55.6% | falling |
| 49 | United Kingdom of Great Britain and Northern Ireland | 56 1000 t | 2023 | down 55.6% | falling |
| 51 | Rwanda | 55 1000 t | 2023 | down 66.7% | volatile |
| 52 | Afghanistan | 54 1000 t | 2023 | up 145.5% | rising |
| 52 | Republic of Korea | 54 1000 t | 2023 | up 17.4% | rising |
| 54 | Bolivia (Plurinational State of) | 51 1000 t | 2023 | down 10.5% | flat |
| 55 | Italy | 49 1000 t | 2023 | up 25.6% | rising |
| 56 | Saudi Arabia | 48 1000 t | 2023 | up 14.3% | flat |
| 57 | Lebanon | 44 1000 t | 2023 | up 41.9% | rising |
| 57 | United Republic of Tanzania | 44 1000 t | 2023 | down 66.9% | falling |
| 59 | Guinea | 42 1000 t | 2023 | up 500.0% | volatile |
| 59 | Syria | 42 1000 t | 2023 | up 27.3% | falling |
| 59 | Syrian Arab Republic | 42 1000 t | 2023 | up 27.3% | falling |
| 62 | Mozambique | 41 1000 t | 2023 | up 156.2% | rising |
| 62 | Uzbekistan | 41 1000 t | 2023 | up 86.4% | rising |
| 64 | Angola | 39 1000 t | 2023 | down 22.0% | falling |
| 64 | Zimbabwe | 39 1000 t | 2023 | up 3,800.0% | volatile |
| 66 | Greece | 38 1000 t | 2023 | down 57.8% | falling |
| 66 | Australia and New Zealand | 38 1000 t | 2023 | up 5.6% | flat |
| 68 | Finland | 37 1000 t | 2023 | down 21.3% | falling |
| 68 | Israel | 37 1000 t | 2023 | down 14.0% | falling |
| 68 | Serbia | 37 1000 t | 2023 | down 36.2% | falling |
| 71 | Vietnam | 35 1000 t | 2023 | up 45.8% | rising |
| 71 | Viet Nam | 35 1000 t | 2023 | up 45.8% | rising |
| 73 | Tunisia | 32 1000 t | 2023 | up 10.3% | rising |
| 74 | Libya | 30 1000 t | 2023 | up 36.4% | rising |
| 74 | Madagascar | 30 1000 t | 2023 | up 7.1% | rising |
| 76 | Australia | 29 1000 t | 2023 | up 16.0% | flat |
| 76 | Cameroon | 29 1000 t | 2023 | up 81.2% | rising |
| 78 | United Arab Emirates | 26 1000 t | 2023 | up 160.0% | rising |
| 79 | Myanmar | 24 1000 t | 2023 | down 14.3% | falling |
| 79 | Portugal | 24 1000 t | 2023 | down 11.1% | flat |
| 81 | Armenia | 23 1000 t | 2023 | down 76.0% | falling |
| 81 | Yemen | 23 1000 t | 2023 | up 9.5% | rising |
| 83 | Iraq | 22 1000 t | 2023 | down 55.1% | flat |
| 83 | Niger | 22 1000 t | 2023 | up 214.3% | volatile |
| 85 | Sri Lanka | 21 1000 t | 2023 | up 5.0% | rising |
| 85 | Caribbean | 21 1000 t | 2023 | up 16.7% | rising |
| 87 | Albania | 20 1000 t | 2023 | up 11.1% | rising |
| 87 | Senegal | 20 1000 t | 2023 | up 150.0% | rising |
| 89 | Switzerland | 19 1000 t | 2023 | up 26.7% | falling |
| 90 | Lithuania | 18 1000 t | 2023 | down 37.9% | falling |
| 91 | Uganda | 15 1000 t | 2023 | up 200.0% | rising |
| 92 | Jordan | 14 1000 t | 2023 | down 22.2% | falling |
| 93 | Bulgaria | 13 1000 t | 2023 | down 7.1% | rising |
| 93 | Croatia | 13 1000 t | 2023 | up 30.0% | rising |
| 93 | Indonesia | 13 1000 t | 2023 | down 75.0% | falling |
| 96 | Ireland | 10 1000 t | 2023 | down 9.1% | flat |
| 96 | Lesotho | 10 1000 t | 2023 | up 11.1% | rising |
| 98 | Dominican Republic | 9 1000 t | 2023 | up 80.0% | rising |
| 98 | New Zealand | 9 1000 t | 2023 | down 10.0% | falling |
| 98 | Thailand | 9 1000 t | 2023 | up 12.5% | flat |
| 101 | Bosnia and Herzegovina | 8 1000 t | 2023 | unchanged | flat |
| 101 | North Macedonia | 8 1000 t | 2023 | down 60.0% | falling |
| 103 | Hungary | 7 1000 t | 2023 | down 46.2% | falling |
| 103 | Moldova | 7 1000 t | 2023 | down 30.0% | falling |
| 103 | Republic of Moldova | 7 1000 t | 2023 | down 30.0% | falling |
| 106 | Bhutan | 6 1000 t | 2023 | — | falling |
| 106 | Costa Rica | 6 1000 t | 2023 | up 50.0% | flat |
| 106 | Honduras | 6 1000 t | 2023 | up 100.0% | rising |
| 106 | Nicaragua | 6 1000 t | 2023 | up 200.0% | rising |
| 106 | Slovakia | 6 1000 t | 2023 | up 20.0% | flat |
| 106 | Slovenia | 6 1000 t | 2023 | up 100.0% | flat |
| 106 | Turkmenistan | 6 1000 t | 2023 | up 100.0% | rising |
| 113 | Mauritania | 5 1000 t | 2023 | up 66.7% | rising |
| 113 | Uruguay | 5 1000 t | 2023 | down 28.6% | falling |
| 113 | Democratic Republic of the Congo | 5 1000 t | 2023 | down 28.6% | falling |
| 116 | Jamaica | 4 1000 t | 2023 | down 20.0% | flat |
| 116 | Paraguay | 4 1000 t | 2023 | up 100.0% | rising |
| 116 | Trinidad and Tobago | 4 1000 t | 2023 | up 100.0% | rising |
| 119 | Cuba | 3 1000 t | 2019 | down 25.0% | falling |
| 119 | Cyprus | 3 1000 t | 2023 | down 57.1% | falling |
| 119 | Estonia | 3 1000 t | 2023 | up 50.0% | rising |
| 119 | Georgia | 3 1000 t | 2023 | down 40.0% | falling |
| 119 | Panama | 3 1000 t | 2023 | up 50.0% | rising |
| 119 | Philippines | 3 1000 t | 2023 | down 66.7% | falling |
| 119 | Zambia | 3 1000 t | 2023 | up 50.0% | rising |
| 119 | China, Hong Kong SAR | 3 1000 t | 2023 | up 200.0% | volatile |
| 127 | Haiti | 2 1000 t | 2023 | down 33.3% | rising |
| 127 | Kuwait | 2 1000 t | 2023 | down 50.0% | falling |
| 127 | Latvia | 2 1000 t | 2023 | down 80.0% | volatile |
| 127 | Montenegro | 2 1000 t | 2023 | unchanged | rising |
| 131 | Burkina Faso | 1 1000 t | 2023 | down 92.3% | volatile |
| 131 | Cote d'Ivoire | 1 1000 t | 2023 | — | rising |
| 131 | Ecuador | 1 1000 t | 2023 | down 88.9% | falling |
| 131 | Guyana | 1 1000 t | 2023 | unchanged | flat |
| 131 | Iceland | 1 1000 t | 2023 | — | volatile |
| 131 | Luxembourg | 1 1000 t | 2023 | down 50.0% | falling |
| 131 | Malta | 1 1000 t | 2023 | unchanged | falling |
| 131 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 131 | Namibia | 1 1000 t | 2023 | unchanged | flat |
| 131 | Oman | 1 1000 t | 2023 | — | rising |
| 131 | Qatar | 1 1000 t | 2023 | — | flat |
| 131 | El Salvador | 1 1000 t | 2023 | unchanged | volatile |
| 131 | Eswatini | 1 1000 t | 2023 | unchanged | flat |
| 131 | Côte d'Ivoire | 1 1000 t | 2023 | — | rising |
| 131 | China, Taiwan Province of | 1 1000 t | 2023 | unchanged | rising |
| 146 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 146 | Barbados | 0 1000 t | 2023 | — | volatile |
| 146 | Botswana | 0 1000 t | 2023 | down 100.0% | falling |
| 146 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 146 | Laos | 0 1000 t | 2023 | down 100.0% | volatile |
| 146 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 146 | Cabo Verde | 0 1000 t | 2023 | down 100.0% | volatile |
| 146 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 146 | Lao People's Democratic Republic | 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 39,101 1000 t
- Asia 22,061 1000 t
- Southern Asia 16,313 1000 t
- Europe 8,624 1000 t
- Net Food Importing Developing Countries (NFIDCs) 6,030 1000 t
- Eastern Europe 5,507 1000 t
- Eastern Asia 4,234 1000 t
- Africa 4,229 1000 t
- Americas 4,149 1000 t
- European Union (27) 3,529 1000 t
- Northern Africa 3,023 1000 t
- South America 2,171 1000 t
- Least Developed Countries (LDCs) 2,135 1000 t
- Western Europe 2,081 1000 t
- Land Locked Developing Countries (LLDCs) 2,002 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,964 1000 t
- Northern America 1,717 1000 t
- United States of America 1,212 1000 t
- Central Asia 765 1000 t
- Eastern Africa 737 1000 t
- Northern Europe 689 1000 t
- Western Asia 664 1000 t
- Southern Europe 346 1000 t
- Western Africa 268 1000 t
- Central America 239 1000 t
- Southern Africa 125 1000 t
- South-Eastern Asia 85 1000 t
- Middle Africa 76 1000 t
- Oceania 38 1000 t
- Small island developing States (SIDS) 24 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.