Bovine Meat — 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
Bovine Meat — Losses is currently reported for 35 countries. The highest value is 295 1000 t in Argentina; the lowest is 0 1000 t in Latvia.
The median across all reporting countries is 0 1000 t, and the mean is 13.77 1000 t.
Over the past decade 6 countries rose and 7 fell. The largest increase was in Tajikistan (up 600.0%), and the largest decrease in Belarus (down 100.0%).
Bovine Meat — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Argentina | 295 1000 t | 2023 | up 16.1% | rising |
| 2 | Peru | 60 1000 t | 2023 | up 3.4% | rising |
| 3 | Tajikistan | 21 1000 t | 2023 | up 600.0% | volatile |
| 4 | Venezuela (Bolivarian Republic of) | 19 1000 t | 2023 | down 42.4% | falling |
| 5 | Kazakhstan | 18 1000 t | 2023 | unchanged | rising |
| 6 | Turkmenistan | 15 1000 t | 2023 | up 15.4% | rising |
| 7 | Colombia | 14 1000 t | 2023 | down 17.6% | falling |
| 7 | Mongolia | 14 1000 t | 2023 | up 180.0% | rising |
| 9 | Romania | 7 1000 t | 2023 | down 30.0% | falling |
| 10 | United Arab Emirates | 5 1000 t | 2023 | up 400.0% | rising |
| 11 | Germany | 4 1000 t | 2023 | down 20.0% | falling |
| 11 | Panama | 4 1000 t | 2023 | unchanged | falling |
| 13 | Russian Federation | 2 1000 t | 2023 | down 60.0% | falling |
| 14 | Lithuania | 1 1000 t | 2023 | — | rising |
| 14 | Ukraine | 1 1000 t | 2023 | down 50.0% | falling |
| 14 | Hungary | 1 1000 t | 2023 | unchanged | flat |
| 14 | Armenia | 1 1000 t | 2023 | unchanged | flat |
| 18 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 18 | Republic of Korea | 0 1000 t | 2019 | — | flat |
| 18 | Australia and New Zealand | 0 1000 t | 2019 | — | flat |
| 18 | Caribbean | 0 1000 t | 2023 | — | flat |
| 18 | Melanesia | 0 1000 t | 2023 | — | flat |
| 18 | Micronesia | 0 1000 t | 2023 | — | flat |
| 18 | Albania | 0 1000 t | 2020 | — | flat |
| 18 | Australia | 0 1000 t | 2019 | — | flat |
| 18 | Bahrain | 0 1000 t | 2023 | — | flat |
| 18 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Congo | 0 1000 t | 2019 | — | flat |
| 18 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 18 | Estonia | 0 1000 t | 2023 | — | volatile |
| 18 | Georgia | 0 1000 t | 2023 | — | volatile |
| 18 | Jamaica | 0 1000 t | 2023 | — | flat |
| 18 | Jordan | 0 1000 t | 2023 | — | flat |
| 18 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 18 | Latvia | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 575 1000 t
- Americas 391 1000 t
- South America 387 1000 t
- Net Food Importing Developing Countries (NFIDCs) 157 1000 t
- Asia 101 1000 t
- Land Locked Developing Countries (LLDCs) 100 1000 t
- Low Income Food Deficit Countries (LIFDCs) 86 1000 t
- Least Developed Countries (LDCs) 65 1000 t
- Africa 65 1000 t
- Central Asia 53 1000 t
- Eastern Asia 39 1000 t
- Northern Africa 33 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.