Yams — 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
Yams — Stock Variation is currently reported for 96 countries. The highest value is 995 1000 t in Ghana; the lowest is -2 1000 t in Polynesia.
The median across all reporting countries is 0 1000 t, and the mean is 11.07 1000 t.
The gap between the highest and lowest reporting country is a factor of about 498.
Over the past decade 11 countries rose and 12 fell. The largest increase was in Ghana (up 20,000.0%), and the largest decrease in Samoa (down 300.0%).
Yams — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ghana | 995 1000 t | 2023 | up 20,000.0% | volatile |
| 2 | Guinea | 53 1000 t | 2023 | up 341.7% | volatile |
| 3 | Cameroon | 6 1000 t | 2023 | up 500.0% | volatile |
| 4 | Dominican Republic | 5 1000 t | 2023 | — | volatile |
| 5 | Caribbean | 4 1000 t | 2023 | up 100.0% | volatile |
| 6 | United Kingdom of Great Britain and Northern Ireland | 2 1000 t | 2023 | up 100.0% | volatile |
| 7 | Burkina Faso | 1 1000 t | 2023 | down 94.4% | volatile |
| 7 | Brazil | 1 1000 t | 2023 | down 90.9% | volatile |
| 9 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 9 | Australia | 0 1000 t | 2023 | — | flat |
| 9 | Austria | 0 1000 t | 2023 | — | flat |
| 9 | Belgium | 0 1000 t | 2023 | — | flat |
| 9 | Bahrain | 0 1000 t | 2023 | — | flat |
| 9 | Bahamas | 0 1000 t | 2023 | — | flat |
| 9 | Belize | 0 1000 t | 2023 | — | flat |
| 9 | Barbados | 0 1000 t | 2023 | — | flat |
| 9 | Botswana | 0 1000 t | 2023 | — | flat |
| 9 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Switzerland | 0 1000 t | 2023 | — | flat |
| 9 | China | 0 1000 t | 2023 | — | volatile |
| 9 | Congo | 0 1000 t | 2023 | — | volatile |
| 9 | Colombia | 0 1000 t | 2023 | — | volatile |
| 9 | Comoros | 0 1000 t | 2023 | — | flat |
| 9 | Costa Rica | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Cuba | 0 1000 t | 2019 | — | flat |
| 9 | Czechia | 0 1000 t | 2023 | — | flat |
| 9 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Denmark | 0 1000 t | 2023 | — | flat |
| 9 | Spain | 0 1000 t | 2023 | — | flat |
| 9 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 9 | Finland | 0 1000 t | 2023 | — | flat |
| 9 | Fiji | 0 1000 t | 2023 | — | volatile |
| 9 | France | 0 1000 t | 2023 | — | flat |
| 9 | Gabon | 0 1000 t | 2023 | — | volatile |
| 9 | Grenada | 0 1000 t | 2023 | — | flat |
| 9 | Guatemala | 0 1000 t | 2020 | — | flat |
| 9 | Guyana | 0 1000 t | 2023 | — | volatile |
| 9 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Indonesia | 0 1000 t | 2023 | — | flat |
| 9 | India | 0 1000 t | 2023 | — | flat |
| 9 | Ireland | 0 1000 t | 2023 | — | flat |
| 9 | Iceland | 0 1000 t | 2023 | — | flat |
| 9 | Italy | 0 1000 t | 2023 | — | flat |
| 9 | Jamaica | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Kenya | 0 1000 t | 2023 | — | volatile |
| 9 | Cambodia | 0 1000 t | 2023 | — | flat |
| 9 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 9 | Kuwait | 0 1000 t | 2023 | — | flat |
| 9 | Liberia | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 9 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 9 | Maldives | 0 1000 t | 2023 | — | flat |
| 9 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 9 | Mauritania | 0 1000 t | 2023 | — | flat |
| 9 | Malaysia | 0 1000 t | 2023 | — | flat |
| 9 | Namibia | 0 1000 t | 2023 | — | flat |
| 9 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 9 | Niger | 0 1000 t | 2023 | — | flat |
| 9 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 9 | Norway | 0 1000 t | 2023 | — | flat |
| 9 | New Zealand | 0 1000 t | 2023 | — | flat |
| 9 | Oman | 0 1000 t | 2023 | — | volatile |
| 9 | Pakistan | 0 1000 t | 2023 | — | flat |
| 9 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Philippines | 0 1000 t | 2023 | — | volatile |
| 9 | Papua New Guinea | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Portugal | 0 1000 t | 2023 | — | volatile |
| 9 | Qatar | 0 1000 t | 2023 | — | flat |
| 9 | Romania | 0 1000 t | 2023 | — | flat |
| 9 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Senegal | 0 1000 t | 2023 | — | volatile |
| 9 | Solomon Islands | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 9 | Sweden | 0 1000 t | 2023 | — | flat |
| 9 | Thailand | 0 1000 t | 2023 | — | flat |
| 9 | Tonga | 0 1000 t | 2023 | — | flat |
| 9 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 9 | Tunisia | 0 1000 t | 2023 | — | flat |
| 9 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 9 | Micronesia | 0 1000 t | 2023 | — | flat |
| 9 | Melanesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | Democratic Republic of the Congo | 0 1000 t | 2023 | up 100.0% | volatile |
| 9 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 9 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 9 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 9 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 9 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 9 | China, mainland | 0 1000 t | 2023 | — | flat |
| 9 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 9 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 9 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 9 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 9 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 95 | Samoa | -2 1000 t | 2023 | down 300.0% | volatile |
| 95 | Polynesia | -2 1000 t | 2023 | down 300.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,042 1000 t
- Africa 1,035 1000 t
- Western Africa 1,028 1000 t
- Low Income Food Deficit Countries (LIFDCs) 40 1000 t
- Net Food Importing Developing Countries (NFIDCs) 36 1000 t
- Least Developed Countries (LDCs) 34 1000 t
- Americas 7 1000 t
- Middle Africa 6 1000 t
- Land Locked Developing Countries (LLDCs) 5 1000 t
- Europe 2 1000 t
- Northern America 2 1000 t
- Small Island Developing States (SIDS) 2 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.