Roots, Other — 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...
What the numbers show
Roots, Other — Losses is currently reported for 100 countries. The highest value is 2,500 1000 t in Nigeria; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 52.45 1000 t.
Over the past decade 24 countries rose and 13 fell. The largest increase was in Lao People's Democratic Republic (up 228.4%), and the largest decrease in France (down 100.0%).
Roots, Other — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 2,500 1000 t | 2023 | up 184.1% | rising |
| 2 | Cameroon | 570 1000 t | 2023 | down 15.4% | falling |
| 3 | Ghana | 551 1000 t | 2023 | up 38.4% | rising |
| 4 | Lao People's Democratic Republic | 358 1000 t | 2023 | up 228.4% | rising |
| 5 | Ethiopia | 334 1000 t | 2023 | up 53.2% | rising |
| 6 | China | 106 1000 t | 2023 | up 7.1% | rising |
| 7 | China, mainland | 101 1000 t | 2023 | up 6.3% | rising |
| 8 | Namibia | 75 1000 t | 2023 | up 7.1% | rising |
| 9 | Democratic Republic of the Congo | 74 1000 t | 2023 | up 5.7% | rising |
| 10 | Pakistan | 58 1000 t | 2023 | up 52.6% | rising |
| 11 | Melanesia | 51 1000 t | 2023 | down 3.8% | flat |
| 12 | Papua New Guinea | 48 1000 t | 2023 | up 4.3% | rising |
| 13 | Madagascar | 41 1000 t | 2023 | down 2.4% | flat |
| 14 | Caribbean | 38 1000 t | 2023 | down 20.8% | falling |
| 15 | Egypt | 30 1000 t | 2023 | up 42.9% | rising |
| 16 | Peru | 28 1000 t | 2023 | down 9.7% | falling |
| 16 | Thailand | 28 1000 t | 2023 | up 7.7% | rising |
| 18 | Gabon | 26 1000 t | 2023 | up 4.0% | rising |
| 19 | Cuba | 25 1000 t | 2019 | up 19.0% | rising |
| 20 | Nepal | 23 1000 t | 2023 | unchanged | flat |
| 21 | Venezuela (Bolivarian Republic of) | 20 1000 t | 2023 | up 11.1% | rising |
| 22 | Mexico | 17 1000 t | 2023 | up 13.3% | rising |
| 23 | Rwanda | 14 1000 t | 2023 | up 100.0% | rising |
| 24 | Haiti | 12 1000 t | 2023 | unchanged | rising |
| 25 | Côte d'Ivoire | 11 1000 t | 2023 | up 22.2% | rising |
| 26 | Guinea | 10 1000 t | 2023 | up 25.0% | rising |
| 27 | Colombia | 9 1000 t | 2023 | unchanged | rising |
| 28 | Botswana | 8 1000 t | 2023 | up 14.3% | rising |
| 29 | Guinea-Bissau | 6 1000 t | 2023 | down 25.0% | rising |
| 30 | Bhutan | 5 1000 t | 2023 | — | flat |
| 30 | Congo | 5 1000 t | 2023 | up 25.0% | rising |
| 30 | Dominican Republic | 5 1000 t | 2023 | up 150.0% | rising |
| 30 | Eswatini | 5 1000 t | 2023 | unchanged | rising |
| 30 | Bolivia (Plurinational State of) | 5 1000 t | 2023 | unchanged | flat |
| 35 | Guyana | 4 1000 t | 2023 | unchanged | flat |
| 35 | Nicaragua | 4 1000 t | 2023 | down 83.3% | falling |
| 35 | El Salvador | 4 1000 t | 2023 | up 33.3% | rising |
| 35 | China, Taiwan Province of | 4 1000 t | 2023 | unchanged | falling |
| 39 | Indonesia | 3 1000 t | 2023 | down 62.5% | falling |
| 39 | Cambodia | 3 1000 t | 2023 | unchanged | flat |
| 39 | Liberia | 3 1000 t | 2023 | unchanged | rising |
| 39 | Sao Tome and Principe | 3 1000 t | 2023 | up 50.0% | rising |
| 43 | Samoa | 2 1000 t | 2023 | unchanged | falling |
| 43 | Timor-Leste | 2 1000 t | 2023 | unchanged | falling |
| 43 | Polynesia | 2 1000 t | 2023 | unchanged | rising |
| 46 | Comoros | 1 1000 t | 2023 | unchanged | flat |
| 46 | Costa Rica | 1 1000 t | 2023 | down 66.7% | falling |
| 46 | Ecuador | 1 1000 t | 2023 | unchanged | rising |
| 46 | Fiji | 1 1000 t | 2023 | down 50.0% | falling |
| 46 | Honduras | 1 1000 t | 2023 | unchanged | rising |
| 46 | Jamaica | 1 1000 t | 2023 | unchanged | flat |
| 46 | Kenya | 1 1000 t | 2023 | unchanged | flat |
| 46 | Mozambique | 1 1000 t | 2023 | unchanged | flat |
| 46 | Malaysia | 1 1000 t | 2023 | — | volatile |
| 46 | Panama | 1 1000 t | 2023 | — | volatile |
| 46 | Philippines | 1 1000 t | 2023 | unchanged | flat |
| 46 | Solomon Islands | 1 1000 t | 2023 | unchanged | flat |
| 46 | Trinidad and Tobago | 1 1000 t | 2023 | unchanged | rising |
| 46 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | unchanged | flat |
| 60 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 60 | Bulgaria | 0 1000 t | 2018 | — | flat |
| 60 | Bahrain | 0 1000 t | 2023 | — | flat |
| 60 | Bahamas | 0 1000 t | 2019 | — | flat |
| 60 | Belize | 0 1000 t | 2023 | — | flat |
| 60 | Barbados | 0 1000 t | 2023 | — | flat |
| 60 | Cyprus | 0 1000 t | 2023 | — | flat |
| 60 | Spain | 0 1000 t | 2023 | — | flat |
| 60 | Estonia | 0 1000 t | 2018 | — | flat |
| 60 | France | 0 1000 t | 2023 | down 100.0% | volatile |
| 60 | Grenada | 0 1000 t | 2023 | — | flat |
| 60 | Hungary | 0 1000 t | 2023 | — | flat |
| 60 | Kiribati | 0 1000 t | 2023 | — | flat |
| 60 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 60 | Lebanon | 0 1000 t | 2023 | — | flat |
| 60 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 60 | Lesotho | 0 1000 t | 2019 | — | flat |
| 60 | Morocco | 0 1000 t | 2023 | — | flat |
| 60 | Maldives | 0 1000 t | 2023 | — | flat |
| 60 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 60 | Mauritius | 0 1000 t | 2023 | — | flat |
| 60 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 60 | Nauru | 0 1000 t | 2023 | — | flat |
| 60 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 60 | Qatar | 0 1000 t | 2023 | — | flat |
| 60 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 60 | Serbia | 0 1000 t | 2023 | — | volatile |
| 60 | Suriname | 0 1000 t | 2023 | — | flat |
| 60 | Slovenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 60 | Tonga | 0 1000 t | 2023 | — | flat |
| 60 | Tunisia | 0 1000 t | 2019 | — | flat |
| 60 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 60 | Vanuatu | 0 1000 t | 2023 | down 100.0% | falling |
| 60 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 60 | Micronesia | 0 1000 t | 2023 | — | flat |
| 60 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 60 | Iran (Islamic Republic of) | 0 1000 t | 2019 | — | flat |
| 60 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 60 | Türkiye | 0 1000 t | 2021 | — | flat |
| 60 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 60 | China, Macao SAR | 0 1000 t | 2019 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 5,077 1000 t
- Africa 4,283 1000 t
- Western Africa 3,085 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,200 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,116 1000 t
- Least Developed Countries (LDCs) 900 1000 t
- Land Locked Developing Countries (LLDCs) 762 1000 t
- Middle Africa 685 1000 t
- Asia 599 1000 t
- Eastern Africa 396 1000 t
- South-eastern Asia 395 1000 t
- Americas 141 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.