Starchy Roots — Export 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...
Countries reporting
172
Highest
23,583 1000 t
Thailand
Lowest
0 1000 t
China, Macao SAR
Median
9.5 1000 t
Years covered
14
2010–2023
Data points
2,700
What the numbers show
Starchy Roots — Export quantity is currently reported for 172 countries. The highest value is 23,583 1000 t in Thailand; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 9.5 1000 t, and the mean is 477.83 1000 t.
Over the past decade 67 countries rose and 45 fell. The largest increase was in Kazakhstan (up 5,050.0%), and the largest decrease in Armenia (down 100.0%).
Starchy Roots — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Thailand | 23,583 1000 t | 2023 | down 6.5% | rising |
| 2 | Netherlands (Kingdom of the) | 8,507 1000 t | 2023 | up 36.2% | rising |
| 3 | Cambodia | 8,196 1000 t | 2023 | up 3,126.8% | volatile |
| 4 | Viet Nam | 6,716 1000 t | 2023 | down 0.4% | rising |
| 5 | Belgium | 6,160 1000 t | 2023 | up 58.9% | rising |
| 6 | Germany | 4,949 1000 t | 2023 | up 12.0% | rising |
| 7 | France | 4,318 1000 t | 2023 | up 64.6% | rising |
| 8 | Lao People's Democratic Republic | 3,127 1000 t | 2023 | up 1,084.5% | volatile |
| 9 | Canada | 2,820 1000 t | 2023 | up 31.5% | rising |
| 10 | Egypt | 1,204 1000 t | 2023 | up 121.3% | rising |
| 11 | China | 1,182 1000 t | 2023 | up 62.6% | rising |
| 12 | Poland | 1,007 1000 t | 2023 | up 24.6% | rising |
| 13 | Indonesia | 969 1000 t | 2023 | up 13.1% | volatile |
| 14 | India | 963 1000 t | 2023 | up 271.8% | rising |
| 15 | China, mainland | 890 1000 t | 2023 | up 59.5% | rising |
| 16 | Pakistan | 772 1000 t | 2023 | up 56.9% | rising |
| 17 | Spain | 571 1000 t | 2023 | up 85.4% | rising |
| 18 | Kazakhstan | 412 1000 t | 2023 | up 5,050.0% | volatile |
| 19 | Argentina | 406 1000 t | 2023 | up 2.5% | rising |
| 20 | United Kingdom of Great Britain and Northern Ireland | 369 1000 t | 2023 | down 10.4% | flat |
| 21 | Costa Rica | 324 1000 t | 2023 | up 102.5% | rising |
| 22 | Denmark | 318 1000 t | 2023 | up 7.4% | rising |
| 23 | China, Taiwan Province of | 270 1000 t | 2023 | up 190.3% | volatile |
| 24 | Brazil | 219 1000 t | 2023 | up 376.1% | volatile |
| 25 | Russian Federation | 182 1000 t | 2023 | up 250.0% | volatile |
| 26 | Australia and New Zealand | 159 1000 t | 2023 | down 23.2% | flat |
| 27 | Israel | 146 1000 t | 2023 | down 42.3% | falling |
| 28 | Belarus | 136 1000 t | 2023 | down 41.1% | rising |
| 29 | Austria | 132 1000 t | 2023 | up 26.9% | rising |
| 29 | Portugal | 132 1000 t | 2023 | up 112.9% | rising |
| 31 | Uganda | 128 1000 t | 2023 | up 166.7% | volatile |
| 32 | Türkiye | 126 1000 t | 2023 | down 61.9% | volatile |
| 33 | Italy | 125 1000 t | 2023 | down 27.7% | falling |
| 34 | Czechia | 109 1000 t | 2023 | up 19.8% | flat |
| 35 | Greece | 108 1000 t | 2023 | up 300.0% | volatile |
| 36 | Kenya | 102 1000 t | 2023 | up 3,300.0% | volatile |
| 36 | United Republic of Tanzania | 102 1000 t | 2023 | up 920.0% | volatile |
| 38 | Honduras | 99 1000 t | 2023 | up 800.0% | volatile |
| 39 | Paraguay | 96 1000 t | 2023 | down 41.5% | falling |
| 40 | New Zealand | 92 1000 t | 2023 | down 27.6% | falling |
| 41 | Côte d'Ivoire | 89 1000 t | 2023 | up 122.5% | volatile |
| 42 | United Arab Emirates | 88 1000 t | 2023 | up 104.7% | volatile |
| 43 | Ukraine | 77 1000 t | 2023 | up 352.9% | volatile |
| 43 | Iran (Islamic Republic of) | 77 1000 t | 2023 | up 35.1% | volatile |
| 45 | Azerbaijan | 71 1000 t | 2023 | up 31.5% | rising |
| 46 | Nicaragua | 70 1000 t | 2023 | up 150.0% | volatile |
| 47 | Australia | 68 1000 t | 2023 | down 15.0% | rising |
| 48 | Guatemala | 67 1000 t | 2023 | down 9.5% | rising |
| 49 | Syrian Arab Republic | 66 1000 t | 2023 | up 500.0% | volatile |
| 50 | Ethiopia | 63 1000 t | 2023 | up 21.2% | volatile |
| 51 | Cyprus | 61 1000 t | 2023 | down 35.8% | falling |
| 51 | Slovenia | 61 1000 t | 2023 | up 335.7% | volatile |
| 53 | Ghana | 58 1000 t | 2023 | up 45.0% | rising |
| 53 | Mexico | 58 1000 t | 2023 | down 6.5% | falling |
| 55 | Ecuador | 48 1000 t | 2023 | up 118.2% | rising |
| 55 | Latvia | 48 1000 t | 2023 | up 14.3% | falling |
| 57 | Peru | 47 1000 t | 2023 | up 327.3% | volatile |
| 57 | Sweden | 47 1000 t | 2023 | up 27.0% | falling |
| 59 | Lebanon | 46 1000 t | 2023 | down 78.6% | falling |
| 59 | Malaysia | 46 1000 t | 2023 | up 53.3% | rising |
| 61 | Kyrgyzstan | 43 1000 t | 2023 | down 4.4% | volatile |
| 62 | Myanmar | 40 1000 t | 2023 | — | volatile |
| 63 | Ireland | 38 1000 t | 2023 | up 100.0% | rising |
| 63 | Slovakia | 38 1000 t | 2023 | up 1,166.7% | rising |
| 65 | Bangladesh | 36 1000 t | 2023 | down 2.7% | volatile |
| 66 | Nigeria | 35 1000 t | 2023 | up 191.7% | volatile |
| 67 | Finland | 32 1000 t | 2023 | up 190.9% | volatile |
| 68 | Caribbean | 28 1000 t | 2023 | down 48.1% | flat |
| 69 | Lithuania | 26 1000 t | 2023 | down 45.8% | rising |
| 70 | Sri Lanka | 24 1000 t | 2023 | up 71.4% | rising |
| 71 | Bhutan | 23 1000 t | 2023 | — | flat |
| 72 | China, Hong Kong SAR | 21 1000 t | 2023 | down 72.4% | volatile |
| 73 | Romania | 20 1000 t | 2023 | up 33.3% | rising |
| 74 | Djibouti | 19 1000 t | 2023 | — | volatile |
| 75 | Bulgaria | 18 1000 t | 2023 | up 28.6% | rising |
| 75 | Colombia | 18 1000 t | 2023 | up 157.1% | rising |
| 77 | Croatia | 17 1000 t | 2023 | up 325.0% | rising |
| 77 | Oman | 17 1000 t | 2023 | up 183.3% | volatile |
| 79 | Melanesia | 13 1000 t | 2023 | down 18.8% | falling |
| 80 | Cameroon | 12 1000 t | 2023 | up 500.0% | volatile |
| 80 | Dominican Republic | 12 1000 t | 2023 | unchanged | rising |
| 80 | Fiji | 12 1000 t | 2023 | down 25.0% | falling |
| 80 | Jamaica | 12 1000 t | 2023 | down 65.7% | falling |
| 84 | Hungary | 11 1000 t | 2023 | up 83.3% | rising |
| 84 | Democratic People's Republic of Korea | 11 1000 t | 2018 | up 22.2% | rising |
| 86 | Philippines | 10 1000 t | 2023 | down 9.1% | falling |
| 87 | Switzerland | 9 1000 t | 2023 | up 80.0% | rising |
| 87 | Estonia | 9 1000 t | 2023 | up 50.0% | rising |
| 89 | Saudi Arabia | 8 1000 t | 2023 | down 69.2% | volatile |
| 89 | Tonga | 8 1000 t | 2023 | — | rising |
| 89 | Polynesia | 8 1000 t | 2023 | up 700.0% | volatile |
| 92 | Georgia | 5 1000 t | 2023 | down 50.0% | volatile |
| 92 | Luxembourg | 5 1000 t | 2023 | up 25.0% | rising |
| 92 | Serbia | 5 1000 t | 2023 | down 44.4% | volatile |
| 92 | Zambia | 5 1000 t | 2023 | up 66.7% | volatile |
| 92 | Republic of Korea | 5 1000 t | 2023 | up 150.0% | volatile |
| 97 | Afghanistan | 4 1000 t | 2023 | down 90.2% | volatile |
| 97 | Jordan | 4 1000 t | 2023 | down 90.5% | volatile |
| 97 | North Macedonia | 4 1000 t | 2023 | unchanged | falling |
| 97 | Mozambique | 4 1000 t | 2023 | — | volatile |
| 97 | Uzbekistan | 4 1000 t | 2023 | — | volatile |
| 102 | Gambia | 3 1000 t | 2023 | — | volatile |
| 102 | Guinea-Bissau | 3 1000 t | 2023 | — | volatile |
| 102 | Madagascar | 3 1000 t | 2023 | up 200.0% | volatile |
| 105 | Albania | 2 1000 t | 2023 | unchanged | volatile |
| 105 | Chile | 2 1000 t | 2023 | unchanged | volatile |
| 105 | Morocco | 2 1000 t | 2023 | down 96.1% | rising |
| 105 | Malawi | 2 1000 t | 2023 | up 100.0% | volatile |
| 105 | Senegal | 2 1000 t | 2023 | up 100.0% | volatile |
| 105 | Saint Vincent and the Grenadines | 2 1000 t | 2023 | down 66.7% | falling |
| 111 | Bosnia and Herzegovina | 1 1000 t | 2023 | down 80.0% | falling |
| 111 | Algeria | 1 1000 t | 2023 | unchanged | volatile |
| 111 | Iraq | 1 1000 t | 2023 | — | volatile |
| 111 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 111 | Rwanda | 1 1000 t | 2023 | down 92.3% | volatile |
| 111 | Solomon Islands | 1 1000 t | 2023 | — | volatile |
| 111 | Sierra Leone | 1 1000 t | 2023 | — | volatile |
| 111 | El Salvador | 1 1000 t | 2023 | unchanged | volatile |
| 111 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 111 | Republic of Moldova | 1 1000 t | 2023 | unchanged | volatile |
| 121 | Angola | 0 1000 t | 2023 | — | volatile |
| 121 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 121 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 121 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 121 | Bahamas | 0 1000 t | 2023 | — | flat |
| 121 | Belize | 0 1000 t | 2023 | — | flat |
| 121 | Barbados | 0 1000 t | 2023 | — | flat |
| 121 | Botswana | 0 1000 t | 2023 | — | volatile |
| 121 | Congo | 0 1000 t | 2023 | — | volatile |
| 121 | Comoros | 0 1000 t | 2022 | — | flat |
| 121 | Cuba | 0 1000 t | 2019 | — | flat |
| 121 | Gabon | 0 1000 t | 2023 | — | flat |
| 121 | Guinea | 0 1000 t | 2023 | — | volatile |
| 121 | Grenada | 0 1000 t | 2023 | — | flat |
| 121 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Haiti | 0 1000 t | 2023 | — | flat |
| 121 | Iceland | 0 1000 t | 2023 | — | flat |
| 121 | Saint Kitts and Nevis | 0 1000 t | 2022 | — | flat |
| 121 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Liberia | 0 1000 t | 2023 | — | flat |
| 121 | Libya | 0 1000 t | 2023 | — | volatile |
| 121 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 121 | Lesotho | 0 1000 t | 2022 | — | volatile |
| 121 | Malta | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Mongolia | 0 1000 t | 2022 | — | volatile |
| 121 | Mauritius | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 121 | Niger | 0 1000 t | 2023 | — | volatile |
| 121 | Norway | 0 1000 t | 2023 | — | flat |
| 121 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 121 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 121 | Qatar | 0 1000 t | 2023 | — | volatile |
| 121 | Suriname | 0 1000 t | 2023 | — | volatile |
| 121 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 121 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 121 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 121 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Uruguay | 0 1000 t | 2023 | — | flat |
| 121 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 121 | Samoa | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 121 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 121 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 121 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 121 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 121 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 84,826 1000 t
- Asia 46,892 1000 t
- South-eastern Asia 42,687 1000 t
- Europe 27,593 1000 t
- European Union (27) 26,868 1000 t
- Western Europe 24,080 1000 t
- Net Food Importing Developing Countries (NFIDCs) 14,160 1000 t
- Least Developed Countries (LDCs) 11,758 1000 t
- Americas 8,099 1000 t
- Northern America 6,614 1000 t
- Land Locked Developing Countries (LLDCs) 3,994 1000 t
- United States of America 3,794 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.