Poultry 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
Poultry Meat — Losses is currently reported for 31 countries. The highest value is 408 1000 t in Peru; the lowest is 0 1000 t in Kazakhstan.
The median across all reporting countries is 0 1000 t, and the mean is 20.16 1000 t.
Over the past decade 7 countries rose and 1 fell. The largest increase was in Guatemala (up 437.5%), and the largest decrease in Myanmar (down 75.0%).
Poultry Meat — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Peru | 408 1000 t | 2023 | up 46.8% | rising |
| 2 | Thailand | 70 1000 t | 2023 | up 14.8% | rising |
| 3 | Guatemala | 43 1000 t | 2023 | up 437.5% | rising |
| 4 | Poland | 29 1000 t | 2023 | up 81.2% | rising |
| 5 | Myanmar | 28 1000 t | 2023 | down 75.0% | falling |
| 6 | Hungary | 20 1000 t | 2023 | up 81.8% | rising |
| 7 | Russian Federation | 8 1000 t | 2023 | unchanged | flat |
| 8 | Qatar | 6 1000 t | 2023 | — | falling |
| 9 | Turkmenistan | 3 1000 t | 2023 | up 50.0% | rising |
| 9 | Cyprus | 3 1000 t | 2023 | up 50.0% | rising |
| 11 | Melanesia | 2 1000 t | 2023 | — | volatile |
| 11 | Panama | 2 1000 t | 2023 | unchanged | rising |
| 11 | Bahrain | 2 1000 t | 2023 | — | flat |
| 14 | Jordan | 1 1000 t | 2023 | — | volatile |
| 15 | Caribbean | 0 1000 t | 2023 | — | flat |
| 15 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 15 | Republic of Korea | 0 1000 t | 2019 | — | flat |
| 15 | Australia and New Zealand | 0 1000 t | 2019 | — | flat |
| 15 | Micronesia | 0 1000 t | 2023 | — | flat |
| 15 | United Arab Emirates | 0 1000 t | 2019 | — | flat |
| 15 | Armenia | 0 1000 t | 2023 | — | flat |
| 15 | Australia | 0 1000 t | 2019 | — | flat |
| 15 | Uzbekistan | 0 1000 t | 2019 | — | flat |
| 15 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 15 | Belarus | 0 1000 t | 2019 | — | flat |
| 15 | Cameroon | 0 1000 t | 2019 | — | flat |
| 15 | Congo | 0 1000 t | 2019 | — | flat |
| 15 | Niger | 0 1000 t | 2019 | — | flat |
| 15 | Mongolia | 0 1000 t | 2023 | — | flat |
| 15 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 15 | Kazakhstan | 0 1000 t | 2019 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 696 1000 t
- Americas 453 1000 t
- Net Food Importing Developing Countries (NFIDCs) 440 1000 t
- South America 408 1000 t
- Asia 181 1000 t
- South-eastern Asia 98 1000 t
- Europe 56 1000 t
- Eastern Europe 56 1000 t
- Eastern Asia 52 1000 t
- European Union (27) 51 1000 t
- Central America 45 1000 t
- Least Developed Countries (LDCs) 32 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.