Bovine Meat — Residuals 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
Bovine Meat — Residuals is currently reported for 67 countries. The highest value is 26 1000 t in Guatemala; the lowest is -67 1000 t in China.
The median across all reporting countries is 0 1000 t, and the mean is -3.09 1000 t.
Over the past decade 8 countries rose and 9 fell. The largest increase was in Rwanda (up 100.0%), and the largest decrease in Poland (down 900.0%).
Bovine Meat — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Guatemala | 26 1000 t | 2023 | — | volatile |
| 2 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 2 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 2 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 2 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 2 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 2 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 2 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 2 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 2 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 2 | Panama | 0 1000 t | 2023 | — | volatile |
| 2 | Philippines | 0 1000 t | 2023 | — | volatile |
| 2 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 2 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 2 | Maldives | 0 1000 t | 2023 | — | volatile |
| 2 | Romania | 0 1000 t | 2023 | — | volatile |
| 2 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 2 | Senegal | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Uganda | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 2 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 2 | United States | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 2 | South Africa | 0 1000 t | 2023 | — | volatile |
| 2 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 2 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 2 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 2 | Kenya | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Argentina | 0 1000 t | 2023 | — | volatile |
| 2 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 2 | Australia | 0 1000 t | 2023 | — | volatile |
| 2 | Azerbaijan | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 2 | Botswana | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Chile | 0 1000 t | 2023 | — | volatile |
| 2 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 2 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 2 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 2 | Czechia | 0 1000 t | 2023 | — | volatile |
| 2 | Israel | 0 1000 t | 2023 | — | volatile |
| 2 | Jordan | 0 1000 t | 2023 | — | volatile |
| 2 | Italy | 0 1000 t | 2023 | — | volatile |
| 2 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 2 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 2 | Hungary | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 178 | Zambia | -1 1000 t | 2023 | — | volatile |
| 178 | Bangladesh | -1 1000 t | 2023 | — | volatile |
| 178 | Germany | -1 1000 t | 2023 | — | volatile |
| 178 | Denmark | -1 1000 t | 2023 | — | volatile |
| 178 | India | -1 1000 t | 2023 | — | volatile |
| 178 | Morocco | -1 1000 t | 2023 | — | volatile |
| 178 | Iran (Islamic Republic of) | -1 1000 t | 2023 | up 50.0% | volatile |
| 185 | Indonesia | -2 1000 t | 2023 | — | volatile |
| 185 | Paraguay | -2 1000 t | 2023 | — | volatile |
| 187 | United Arab Emirates | -3 1000 t | 2023 | — | volatile |
| 188 | France | -6 1000 t | 2023 | — | volatile |
| 188 | Spain | -6 1000 t | 2023 | — | volatile |
| 190 | Belgium | -8 1000 t | 2023 | — | volatile |
| 191 | Ireland | -25 1000 t | 2023 | down 150.0% | volatile |
| 192 | Poland | -40 1000 t | 2023 | down 900.0% | volatile |
| 193 | China, mainland | -67 1000 t | 2023 | down 157.7% | falling |
| 193 | China | -67 1000 t | 2023 | down 157.7% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Central America 26 1000 t
- Americas 23 1000 t
- Middle Africa 0 1000 t
- United States of America 0 1000 t
- Western Africa 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Southern Africa 0 1000 t
- Central Asia 0 1000 t
- Oceania 0 1000 t
- Northern America 0 1000 t
- Low Income Food Deficit Countries (LIFDCs) -1 1000 t
- Northern Africa -1 1000 t
- Eastern Africa -1 1000 t
- Least Developed Countries (LDCs) -2 1000 t
- Africa -2 1000 t
- Southern Asia -2 1000 t
- South-Eastern Asia -2 1000 t
- Net Food Importing Developing Countries (NFIDCs) -3 1000 t
- Land Locked Developing Countries (LLDCs) -3 1000 t
- Western Asia -3 1000 t
- South America -3 1000 t
- Southern Europe -6 1000 t
- Western Europe -15 1000 t
- Northern Europe -25 1000 t
- Eastern Europe -41 1000 t
- Eastern Asia -67 1000 t
- Asia -75 1000 t
- European Union (27) -86 1000 t
- Europe -86 1000 t
- World -140 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.