Roots, Other — Production 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
Roots, Other — Production is currently reported for 90 countries. The highest value is 8,335 1000 t in Nigeria; the lowest is 0 1000 t in Türkiye.
The median across all reporting countries is 33.5 1000 t, and the mean is 396.6 1000 t.
Over the past decade 47 countries rose and 27 fell. The largest increase was in Malaysia (up 800.0%), and the largest decrease in Grenada (down 100.0%).
Roots, Other — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 8,335 1000 t | 2023 | up 184.2% | rising |
| 2 | Laos | 4,738 1000 t | 2023 | up 220.6% | rising |
| 2 | Lao People's Democratic Republic | 4,738 1000 t | 2023 | up 220.6% | rising |
| 4 | China | 2,107 1000 t | 2023 | up 4.6% | rising |
| 5 | China, mainland | 2,055 1000 t | 2023 | up 4.6% | rising |
| 6 | Cameroon | 1,961 1000 t | 2023 | up 23.2% | rising |
| 7 | Ethiopia | 1,890 1000 t | 2023 | up 53.4% | rising |
| 8 | Ghana | 1,713 1000 t | 2023 | up 35.7% | rising |
| 9 | Democratic Republic of the Congo | 985 1000 t | 2023 | up 6.0% | rising |
| 10 | Melanesia | 781 1000 t | 2023 | down 1.8% | flat |
| 11 | Papua New Guinea | 645 1000 t | 2023 | up 5.7% | rising |
| 12 | Pakistan | 615 1000 t | 2023 | up 20.1% | falling |
| 13 | Thailand | 380 1000 t | 2023 | up 8.9% | rising |
| 14 | Indonesia | 378 1000 t | 2023 | down 10.0% | flat |
| 15 | Namibia | 374 1000 t | 2023 | up 6.9% | rising |
| 16 | Caribbean | 298 1000 t | 2023 | down 12.9% | falling |
| 17 | Peru | 277 1000 t | 2023 | down 5.1% | flat |
| 18 | Mexico | 239 1000 t | 2023 | up 23.8% | rising |
| 19 | Madagascar | 230 1000 t | 2023 | down 1.7% | flat |
| 20 | Rwanda | 192 1000 t | 2023 | up 106.5% | rising |
| 21 | Egypt | 183 1000 t | 2023 | up 50.0% | rising |
| 22 | Cuba | 164 1000 t | 2019 | up 19.7% | rising |
| 23 | Nepal | 156 1000 t | 2023 | up 0.6% | flat |
| 24 | Venezuela (Bolivarian Republic of) | 148 1000 t | 2023 | up 5.7% | rising |
| 25 | Cote d'Ivoire | 137 1000 t | 2023 | up 20.2% | rising |
| 25 | Côte d'Ivoire | 137 1000 t | 2023 | up 20.2% | rising |
| 27 | Guinea | 132 1000 t | 2023 | up 32.0% | rising |
| 28 | Colombia | 123 1000 t | 2023 | up 2.5% | rising |
| 29 | Philippines | 116 1000 t | 2023 | down 7.9% | falling |
| 30 | Botswana | 105 1000 t | 2023 | up 5.0% | rising |
| 31 | Gabon | 89 1000 t | 2023 | up 4.7% | rising |
| 32 | Guinea-Bissau | 87 1000 t | 2023 | up 27.9% | rising |
| 33 | Fiji | 71 1000 t | 2023 | down 21.1% | falling |
| 34 | Dominican Republic | 68 1000 t | 2023 | up 134.5% | rising |
| 35 | Eswatini | 66 1000 t | 2023 | up 10.0% | rising |
| 36 | Congo | 63 1000 t | 2023 | up 8.6% | rising |
| 37 | Sri Lanka | 62 1000 t | 2023 | — | volatile |
| 38 | Haiti | 61 1000 t | 2023 | up 1.7% | rising |
| 39 | France | 60 1000 t | 2018 | up 53.8% | rising |
| 40 | China, Taiwan Province of | 52 1000 t | 2023 | up 6.1% | falling |
| 41 | Bolivia (Plurinational State of) | 50 1000 t | 2023 | down 3.8% | flat |
| 42 | El Salvador | 48 1000 t | 2023 | up 11.6% | rising |
| 43 | Solomon Islands | 45 1000 t | 2023 | up 4.7% | flat |
| 44 | Cambodia | 39 1000 t | 2023 | up 5.4% | rising |
| 45 | Bhutan | 36 1000 t | 2023 | — | flat |
| 46 | Polynesia | 31 1000 t | 2023 | down 6.1% | flat |
| 47 | Jamaica | 29 1000 t | 2023 | up 16.0% | rising |
| 47 | Nicaragua | 29 1000 t | 2023 | down 81.9% | falling |
| 49 | Liberia | 28 1000 t | 2023 | unchanged | flat |
| 50 | Malaysia | 27 1000 t | 2023 | up 800.0% | volatile |
| 50 | East Timor | 27 1000 t | 2023 | down 3.6% | falling |
| 50 | Timor-Leste | 27 1000 t | 2023 | down 3.6% | falling |
| 53 | Ecuador | 26 1000 t | 2023 | up 8.3% | rising |
| 54 | Guyana | 24 1000 t | 2023 | up 33.3% | rising |
| 54 | Samoa | 24 1000 t | 2023 | down 11.1% | falling |
| 56 | Vanuatu | 19 1000 t | 2023 | down 63.5% | falling |
| 57 | Costa Rica | 18 1000 t | 2023 | down 50.0% | falling |
| 57 | Kenya | 18 1000 t | 2023 | down 5.3% | flat |
| 59 | Comoros | 13 1000 t | 2023 | up 18.2% | rising |
| 59 | Slovenia | 13 1000 t | 2018 | down 45.8% | falling |
| 61 | Sao Tome and Principe | 11 1000 t | 2023 | up 37.5% | rising |
| 62 | Honduras | 10 1000 t | 2023 | up 100.0% | rising |
| 62 | Mozambique | 10 1000 t | 2023 | up 11.1% | rising |
| 64 | Spain | 9 1000 t | 2018 | up 50.0% | rising |
| 64 | Saint Vincent and the Grenadines | 9 1000 t | 2023 | down 10.0% | falling |
| 66 | Israel | 8 1000 t | 2023 | unchanged | rising |
| 67 | Panama | 7 1000 t | 2023 | up 75.0% | rising |
| 67 | Serbia | 7 1000 t | 2023 | — | volatile |
| 69 | Tonga | 6 1000 t | 2023 | — | flat |
| 69 | Trinidad and Tobago | 6 1000 t | 2023 | down 25.0% | falling |
| 71 | India | 5 1000 t | 2023 | unchanged | rising |
| 72 | Uganda | 4 1000 t | 2023 | up 33.3% | rising |
| 73 | Mauritius | 3 1000 t | 2023 | up 200.0% | volatile |
| 73 | Sierra Leone | 3 1000 t | 2023 | unchanged | flat |
| 75 | Kiribati | 2 1000 t | 2023 | unchanged | flat |
| 75 | Saint Lucia | 2 1000 t | 2023 | unchanged | falling |
| 75 | Suriname | 2 1000 t | 2023 | unchanged | rising |
| 75 | Micronesia | 2 1000 t | 2023 | unchanged | flat |
| 75 | United Republic of Tanzania | 2 1000 t | 2023 | unchanged | flat |
| 80 | Cyprus | 1 1000 t | 2018 | down 50.0% | falling |
| 80 | Lebanon | 1 1000 t | 2023 | unchanged | flat |
| 80 | United States | 1 1000 t | 2023 | down 50.0% | falling |
| 80 | Zimbabwe | 1 1000 t | 2023 | unchanged | flat |
| 84 | Grenada | 0 1000 t | 2023 | down 100.0% | volatile |
| 84 | Saint Kitts and Nevis | 0 1000 t | 2023 | down 100.0% | volatile |
| 84 | Maldives | 0 1000 t | 2023 | down 100.0% | volatile |
| 84 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 84 | French Polynesia | 0 1000 t | 2023 | down 100.0% | falling |
| 84 | Turkey | 0 1000 t | 2023 | down 100.0% | volatile |
| 84 | Türkiye | 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 27,812 1000 t
- Africa 16,798 1000 t
- Net Food Importing Developing Countries (NFIDCs) 11,255 1000 t
- Western Africa 10,462 1000 t
- Asia 8,894 1000 t
- Least Developed Countries (LDCs) 8,817 1000 t
- Land Locked Developing Countries (LLDCs) 7,373 1000 t
- Low Income Food Deficit Countries (LIFDCs) 6,039 1000 t
- South-Eastern Asia 5,705 1000 t
- Middle Africa 3,179 1000 t
- Eastern Africa 2,428 1000 t
- Eastern Asia 2,295 1000 t
- Americas 1,299 1000 t
- Small island developing States (SIDS) 1,279 1000 t
- Southern Asia 874 1000 t
- Oceania 814 1000 t
- South America 649 1000 t
- Southern Africa 545 1000 t
- Central America 351 1000 t
- Northern Africa 183 1000 t
- European Union (27) 83 1000 t
- Western Europe 60 1000 t
- Western Asia 19 1000 t
- Europe 7 1000 t
- Southern Europe 7 1000 t
- Northern America 1 1000 t
- United States of America 1 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.