Fats, Animals, Raw — 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
Fats, Animals, Raw — Stock Variation is currently reported for 104 countries. The highest value is 192 1000 t in United States; the lowest is -59 1000 t in Germany.
The median across all reporting countries is 0 1000 t, and the mean is 4.47 1000 t.
The gap between the highest and lowest reporting country is a factor of about 3.
Over the past decade 22 countries rose and 26 fell. The largest increase was in France (up 2,825.0%), and the largest decrease in Australia (down 800.0%).
Fats, Animals, Raw — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 192 1000 t | 2023 | — | volatile |
| 2 | Netherlands (Kingdom of the) | 157 1000 t | 2023 | up 183.5% | volatile |
| 3 | France | 117 1000 t | 2023 | up 2,825.0% | volatile |
| 4 | New Zealand | 21 1000 t | 2023 | up 520.0% | volatile |
| 5 | China | 20 1000 t | 2023 | up 281.8% | volatile |
| 5 | China, mainland | 20 1000 t | 2023 | up 266.7% | volatile |
| 7 | Ireland | 16 1000 t | 2023 | — | volatile |
| 8 | United Kingdom | 10 1000 t | 2023 | — | volatile |
| 8 | United Kingdom of Great Britain and Northern Ireland | 10 1000 t | 2023 | — | volatile |
| 10 | Ukraine | 9 1000 t | 2023 | — | volatile |
| 11 | Mexico | 7 1000 t | 2023 | down 58.8% | volatile |
| 12 | Norway | 4 1000 t | 2023 | up 300.0% | volatile |
| 12 | Republic of Korea | 4 1000 t | 2023 | up 500.0% | volatile |
| 14 | Denmark | 3 1000 t | 2023 | down 40.0% | volatile |
| 14 | Uruguay | 3 1000 t | 2023 | — | volatile |
| 16 | Angola | 2 1000 t | 2023 | up 150.0% | volatile |
| 16 | Ecuador | 2 1000 t | 2023 | — | volatile |
| 16 | Kazakhstan | 2 1000 t | 2023 | up 100.0% | volatile |
| 16 | Trinidad and Tobago | 2 1000 t | 2023 | — | volatile |
| 16 | Caribbean | 2 1000 t | 2023 | up 300.0% | volatile |
| 21 | Albania | 1 1000 t | 2023 | — | volatile |
| 21 | Chile | 1 1000 t | 2023 | — | volatile |
| 21 | Czechia | 1 1000 t | 2023 | — | volatile |
| 21 | Croatia | 1 1000 t | 2023 | — | volatile |
| 21 | Hungary | 1 1000 t | 2023 | — | flat |
| 21 | Namibia | 1 1000 t | 2023 | up 200.0% | volatile |
| 21 | Peru | 1 1000 t | 2023 | — | volatile |
| 21 | Philippines | 1 1000 t | 2023 | — | volatile |
| 21 | Vietnam | 1 1000 t | 2023 | down 83.3% | volatile |
| 21 | Zambia | 1 1000 t | 2023 | — | volatile |
| 21 | Viet Nam | 1 1000 t | 2023 | down 83.3% | volatile |
| 32 | Afghanistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 32 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Azerbaijan | 0 1000 t | 2023 | up 100.0% | volatile |
| 32 | Belgium | 0 1000 t | 2023 | — | volatile |
| 32 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 32 | Botswana | 0 1000 t | 2023 | — | volatile |
| 32 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 32 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 32 | Colombia | 0 1000 t | 2023 | — | volatile |
| 32 | Egypt | 0 1000 t | 2023 | up 100.0% | volatile |
| 32 | Spain | 0 1000 t | 2023 | — | volatile |
| 32 | Estonia | 0 1000 t | 2023 | — | volatile |
| 32 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Finland | 0 1000 t | 2023 | up 100.0% | volatile |
| 32 | Georgia | 0 1000 t | 2023 | — | volatile |
| 32 | Guinea | 0 1000 t | 2023 | — | volatile |
| 32 | Greece | 0 1000 t | 2023 | — | volatile |
| 32 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 32 | Honduras | 0 1000 t | 2023 | — | flat |
| 32 | Haiti | 0 1000 t | 2023 | — | volatile |
| 32 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Iraq | 0 1000 t | 2023 | — | volatile |
| 32 | Italy | 0 1000 t | 2023 | — | volatile |
| 32 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 32 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 32 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 32 | Latvia | 0 1000 t | 2023 | — | volatile |
| 32 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Nigeria | 0 1000 t | 2023 | — | flat |
| 32 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 32 | Nepal | 0 1000 t | 2023 | — | volatile |
| 32 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Panama | 0 1000 t | 2023 | — | volatile |
| 32 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Portugal | 0 1000 t | 2023 | up 100.0% | volatile |
| 32 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 32 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Russia | 0 1000 t | 2023 | — | volatile |
| 32 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 32 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 32 | Syria | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Thailand | 0 1000 t | 2023 | up 100.0% | volatile |
| 32 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 32 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 32 | Turkey | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Uzbekistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Yemen | 0 1000 t | 2023 | — | volatile |
| 32 | South Africa | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 32 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 32 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 32 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 32 | Australia and New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 32 | United Republic of Tanzania | 0 1000 t | 2023 | up 100.0% | volatile |
| 32 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 178 | United Arab Emirates | -1 1000 t | 2023 | up 66.7% | volatile |
| 178 | Morocco | -1 1000 t | 2023 | up 80.0% | volatile |
| 178 | Mongolia | -1 1000 t | 2023 | — | volatile |
| 178 | Sweden | -1 1000 t | 2023 | — | volatile |
| 182 | Argentina | -2 1000 t | 2023 | up 83.3% | volatile |
| 183 | Belarus | -3 1000 t | 2023 | down 400.0% | volatile |
| 184 | Indonesia | -4 1000 t | 2023 | — | volatile |
| 185 | Canada | -5 1000 t | 2023 | down 350.0% | volatile |
| 186 | Slovakia | -6 1000 t | 2023 | down 200.0% | volatile |
| 187 | Australia | -21 1000 t | 2023 | down 800.0% | volatile |
| 188 | Malaysia | -45 1000 t | 2023 | — | volatile |
| 189 | Germany | -59 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 432 1000 t
- Europe 251 1000 t
- European Union (27) 230 1000 t
- Western Europe 214 1000 t
- Americas 201 1000 t
- United States of America 192 1000 t
- Northern America 187 1000 t
- Northern Europe 32 1000 t
- Eastern Asia 22 1000 t
- Central America 7 1000 t
- South America 5 1000 t
- Net Food Importing Developing Countries (NFIDCs) 4 1000 t
- Africa 3 1000 t
- Least Developed Countries (LDCs) 3 1000 t
- Land Locked Developing Countries (LLDCs) 3 1000 t
- Central Asia 2 1000 t
- Eastern Europe 2 1000 t
- Southern Europe 2 1000 t
- Middle Africa 2 1000 t
- Small island developing States (SIDS) 1 1000 t
- Eastern Africa 1 1000 t
- Southern Africa 1 1000 t
- Oceania 0 1000 t
- Western Africa 0 1000 t
- Southern Asia 0 1000 t
- Low Income Food Deficit Countries (LIFDCs) 0 1000 t
- Northern Africa -1 1000 t
- Western Asia -1 1000 t
- Asia -23 1000 t
- South-Eastern Asia -47 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.