Roots, Other — Stock Variation 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 — Stock Variation is currently reported for 168 countries. The highest value is 268 1000 t in Nigeria; the lowest is -5 1000 t in Peru.
The median across all reporting countries is 0 1000 t, and the mean is 4.84 1000 t.
The gap between the highest and lowest reporting country is a factor of about 54.
Over the past decade 24 countries rose and 21 fell. The largest increase was in Caribbean (up 1,300.0%), and the largest decrease in Peru (down 183.3%).
Roots, Other — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 268 1000 t | 2023 | up 243.3% | volatile |
| 2 | Cameroon | 228 1000 t | 2023 | up 48.1% | volatile |
| 3 | China | 125 1000 t | 2023 | up 286.6% | volatile |
| 3 | China, mainland | 125 1000 t | 2023 | up 298.4% | volatile |
| 5 | Ghana | 32 1000 t | 2023 | up 168.1% | volatile |
| 6 | Caribbean | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 7 | Pakistan | 13 1000 t | 2023 | — | volatile |
| 8 | Dominican Republic | 12 1000 t | 2023 | — | volatile |
| 9 | Thailand | 5 1000 t | 2023 | up 200.0% | flat |
| 10 | Colombia | 2 1000 t | 2023 | — | volatile |
| 10 | Saint Vincent and the Grenadines | 2 1000 t | 2023 | — | volatile |
| 10 | Timor-Leste | 2 1000 t | 2023 | — | volatile |
| 13 | Albania | 0 1000 t | 2023 | — | flat |
| 13 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Argentina | 0 1000 t | 2020 | — | flat |
| 13 | Armenia | 0 1000 t | 2023 | — | flat |
| 13 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 13 | Australia | 0 1000 t | 2023 | — | flat |
| 13 | Austria | 0 1000 t | 2023 | — | flat |
| 13 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 13 | Belgium | 0 1000 t | 2023 | — | flat |
| 13 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 13 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 13 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 13 | Bahrain | 0 1000 t | 2023 | — | flat |
| 13 | Bahamas | 0 1000 t | 2023 | — | flat |
| 13 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 13 | Belarus | 0 1000 t | 2023 | — | flat |
| 13 | Belize | 0 1000 t | 2023 | — | flat |
| 13 | Brazil | 0 1000 t | 2023 | — | flat |
| 13 | Barbados | 0 1000 t | 2023 | — | flat |
| 13 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 13 | Botswana | 0 1000 t | 2023 | — | volatile |
| 13 | Canada | 0 1000 t | 2023 | — | flat |
| 13 | Switzerland | 0 1000 t | 2023 | — | flat |
| 13 | Congo | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Comoros | 0 1000 t | 2023 | — | volatile |
| 13 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Cuba | 0 1000 t | 2019 | — | flat |
| 13 | Cyprus | 0 1000 t | 2023 | — | flat |
| 13 | Czechia | 0 1000 t | 2023 | — | flat |
| 13 | Germany | 0 1000 t | 2023 | — | flat |
| 13 | Djibouti | 0 1000 t | 2023 | — | flat |
| 13 | Denmark | 0 1000 t | 2023 | — | flat |
| 13 | Algeria | 0 1000 t | 2023 | — | flat |
| 13 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 13 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Spain | 0 1000 t | 2023 | — | flat |
| 13 | Estonia | 0 1000 t | 2023 | — | flat |
| 13 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 13 | Finland | 0 1000 t | 2023 | — | flat |
| 13 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Gabon | 0 1000 t | 2023 | — | volatile |
| 13 | Georgia | 0 1000 t | 2023 | — | flat |
| 13 | Guinea | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Gambia | 0 1000 t | 2023 | — | flat |
| 13 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Greece | 0 1000 t | 2023 | — | flat |
| 13 | Grenada | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Guatemala | 0 1000 t | 2023 | — | flat |
| 13 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Honduras | 0 1000 t | 2023 | up 100.0% | flat |
| 13 | Croatia | 0 1000 t | 2023 | — | flat |
| 13 | Haiti | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Hungary | 0 1000 t | 2023 | — | flat |
| 13 | Indonesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | India | 0 1000 t | 2023 | — | flat |
| 13 | Ireland | 0 1000 t | 2023 | — | flat |
| 13 | Iceland | 0 1000 t | 2023 | — | flat |
| 13 | Italy | 0 1000 t | 2023 | — | flat |
| 13 | Jamaica | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Jordan | 0 1000 t | 2023 | — | flat |
| 13 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 13 | Kenya | 0 1000 t | 2023 | — | volatile |
| 13 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 13 | Kiribati | 0 1000 t | 2023 | — | flat |
| 13 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 13 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 13 | Lebanon | 0 1000 t | 2023 | — | flat |
| 13 | Liberia | 0 1000 t | 2023 | — | volatile |
| 13 | Libya | 0 1000 t | 2023 | — | flat |
| 13 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 13 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 13 | Lithuania | 0 1000 t | 2023 | — | flat |
| 13 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 13 | Latvia | 0 1000 t | 2023 | — | flat |
| 13 | Morocco | 0 1000 t | 2023 | — | flat |
| 13 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Maldives | 0 1000 t | 2023 | — | flat |
| 13 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 13 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 13 | Malta | 0 1000 t | 2023 | — | flat |
| 13 | Myanmar | 0 1000 t | 2023 | — | flat |
| 13 | Montenegro | 0 1000 t | 2023 | — | flat |
| 13 | Mongolia | 0 1000 t | 2023 | — | flat |
| 13 | Mozambique | 0 1000 t | 2023 | — | flat |
| 13 | Mauritius | 0 1000 t | 2023 | — | flat |
| 13 | Malawi | 0 1000 t | 2023 | — | flat |
| 13 | Malaysia | 0 1000 t | 2023 | — | flat |
| 13 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 13 | Niger | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Norway | 0 1000 t | 2023 | — | flat |
| 13 | Nepal | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Nauru | 0 1000 t | 2023 | — | flat |
| 13 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Oman | 0 1000 t | 2023 | — | flat |
| 13 | Panama | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Papua New Guinea | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Poland | 0 1000 t | 2023 | — | flat |
| 13 | Portugal | 0 1000 t | 2023 | — | flat |
| 13 | Paraguay | 0 1000 t | 2018 | — | flat |
| 13 | French Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Qatar | 0 1000 t | 2023 | — | flat |
| 13 | Romania | 0 1000 t | 2023 | — | flat |
| 13 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 13 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 13 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Serbia | 0 1000 t | 2023 | — | volatile |
| 13 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 13 | Suriname | 0 1000 t | 2023 | — | volatile |
| 13 | Slovakia | 0 1000 t | 2023 | — | flat |
| 13 | Slovenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Sweden | 0 1000 t | 2023 | — | flat |
| 13 | Seychelles | 0 1000 t | 2023 | — | flat |
| 13 | Tonga | 0 1000 t | 2023 | — | flat |
| 13 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 13 | Tunisia | 0 1000 t | 2023 | — | flat |
| 13 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 13 | Uganda | 0 1000 t | 2023 | — | flat |
| 13 | Ukraine | 0 1000 t | 2023 | — | flat |
| 13 | Uruguay | 0 1000 t | 2021 | — | flat |
| 13 | Vanuatu | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Samoa | 0 1000 t | 2023 | — | volatile |
| 13 | Yemen | 0 1000 t | 2023 | — | flat |
| 13 | Zambia | 0 1000 t | 2023 | — | flat |
| 13 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 13 | Micronesia | 0 1000 t | 2023 | — | flat |
| 13 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 13 | Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Democratic Republic of the Congo | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 13 | China, Hong Kong SAR | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 13 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 13 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 13 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 13 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 13 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 13 | Türkiye | 0 1000 t | 2023 | — | flat |
| 13 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 13 | Côte d'Ivoire | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Lao People's Democratic Republic | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 13 | China, Taiwan Province of | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 13 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 13 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
| 163 | Cambodia | -1 1000 t | 2023 | unchanged | volatile |
| 163 | Eswatini | -1 1000 t | 2023 | — | volatile |
| 165 | Solomon Islands | -2 1000 t | 2023 | up 33.3% | volatile |
| 165 | Melanesia | -2 1000 t | 2023 | down 166.7% | volatile |
| 167 | Nicaragua | -4 1000 t | 2023 | down 125.0% | volatile |
| 168 | Peru | -5 1000 t | 2023 | down 183.3% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 678 1000 t
- Africa 529 1000 t
- Western Africa 301 1000 t
- Middle Africa 228 1000 t
- Low Income Food Deficit Countries (LIFDCs) 225 1000 t
- Asia 144 1000 t
- Eastern Asia 125 1000 t
- Net Food Importing Developing Countries (NFIDCs) 21 1000 t
- Small Island Developing States (SIDS) 14 1000 t
- Southern Asia 13 1000 t
- Americas 7 1000 t
- South-eastern Asia 6 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.