Mutton & Goat Meat — Export quantity 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
Mutton & Goat Meat — Export quantity is currently reported for 54 countries. The highest value is 993 1000 t in Australia and New Zealand; the lowest is 0 1000 t in Slovakia.
The median across all reporting countries is 2 1000 t, and the mean is 46.43 1000 t.
Over the past decade 12 countries rose and 18 fell. The largest increase was in Kenya (up 1,200.0%), and the largest decrease in Jordan (down 100.0%).
Mutton & Goat Meat — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia and New Zealand | 993 1000 t | 2023 | up 17.1% | rising |
| 2 | Australia | 608 1000 t | 2023 | up 35.1% | rising |
| 3 | New Zealand | 385 1000 t | 2023 | down 3.5% | rising |
| 4 | United Kingdom of Great Britain and Northern Ireland | 85 1000 t | 2023 | down 17.5% | falling |
| 4 | United Kingdom | 85 1000 t | 2023 | down 17.5% | falling |
| 6 | Ireland | 53 1000 t | 2023 | up 23.3% | rising |
| 7 | France | 52 1000 t | 2023 | up 477.8% | volatile |
| 8 | Spain | 45 1000 t | 2023 | up 32.4% | rising |
| 9 | Netherlands (Kingdom of the) | 35 1000 t | 2023 | up 40.0% | rising |
| 10 | Kenya | 26 1000 t | 2023 | up 1,200.0% | volatile |
| 11 | Uruguay | 20 1000 t | 2023 | up 5.3% | rising |
| 12 | United Republic of Tanzania | 12 1000 t | 2023 | — | volatile |
| 13 | Belgium | 11 1000 t | 2023 | unchanged | falling |
| 14 | India | 10 1000 t | 2023 | down 52.4% | falling |
| 15 | Pakistan | 9 1000 t | 2023 | down 18.2% | volatile |
| 16 | Ethiopia | 8 1000 t | 2023 | down 42.9% | falling |
| 16 | Kazakhstan | 8 1000 t | 2023 | — | volatile |
| 18 | Saudi Arabia | 7 1000 t | 2023 | up 600.0% | volatile |
| 19 | Greece | 6 1000 t | 2023 | up 100.0% | rising |
| 19 | South Africa | 6 1000 t | 2023 | up 500.0% | volatile |
| 21 | Germany | 5 1000 t | 2023 | down 28.6% | falling |
| 21 | Chile | 5 1000 t | 2023 | down 16.7% | falling |
| 23 | Lebanon | 4 1000 t | 2023 | — | volatile |
| 23 | Italy | 4 1000 t | 2023 | up 100.0% | rising |
| 25 | United States | 3 1000 t | 2023 | down 25.0% | falling |
| 26 | China | 2 1000 t | 2023 | down 50.0% | volatile |
| 26 | North Macedonia | 2 1000 t | 2023 | down 33.3% | falling |
| 26 | Argentina | 2 1000 t | 2023 | unchanged | volatile |
| 26 | China, mainland | 2 1000 t | 2023 | down 33.3% | volatile |
| 26 | Iceland | 2 1000 t | 2023 | down 33.3% | falling |
| 26 | Romania | 2 1000 t | 2023 | unchanged | volatile |
| 32 | United Arab Emirates | 1 1000 t | 2023 | down 66.7% | rising |
| 32 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | volatile |
| 32 | Republic of Moldova | 1 1000 t | 2023 | unchanged | volatile |
| 32 | Mongolia | 1 1000 t | 2023 | — | volatile |
| 32 | Armenia | 1 1000 t | 2023 | — | volatile |
| 32 | Bulgaria | 1 1000 t | 2023 | unchanged | volatile |
| 32 | Moldova | 1 1000 t | 2023 | unchanged | volatile |
| 32 | Namibia | 1 1000 t | 2023 | down 92.9% | volatile |
| 32 | Poland | 1 1000 t | 2023 | unchanged | volatile |
| 32 | Portugal | 1 1000 t | 2023 | unchanged | flat |
| 42 | Russia | 0 1000 t | 2023 | — | volatile |
| 42 | Norway | 0 1000 t | 2023 | — | volatile |
| 42 | Serbia | 0 1000 t | 2023 | — | volatile |
| 42 | Turkey | 0 1000 t | 2023 | — | volatile |
| 42 | Mexico | 0 1000 t | 2023 | — | volatile |
| 42 | Türkiye | 0 1000 t | 2023 | — | volatile |
| 42 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 42 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 42 | Georgia | 0 1000 t | 2023 | — | volatile |
| 42 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 42 | Canada | 0 1000 t | 2023 | down 100.0% | volatile |
| 42 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 42 | Slovakia | 0 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 1,431 1000 t
- Oceania 993 1000 t
- Europe 307 1000 t
- European Union (27) 217 1000 t
- Northern Europe 140 1000 t
- Western Europe 103 1000 t
- Net Food Importing Developing Countries (NFIDCs) 61 1000 t
- Southern Europe 58 1000 t
- Africa 57 1000 t
- Low Income Food Deficit Countries (LIFDCs) 49 1000 t
- Eastern Africa 46 1000 t
- Asia 45 1000 t
- Americas 30 1000 t
- South America 27 1000 t
- Least Developed Countries (LDCs) 23 1000 t
- Southern Asia 20 1000 t
- Land Locked Developing Countries (LLDCs) 20 1000 t
- Western Asia 14 1000 t
- Central Asia 8 1000 t
- Southern Africa 7 1000 t
- Eastern Europe 5 1000 t
- Northern Africa 3 1000 t
- United States of America 3 1000 t
- Northern America 3 1000 t
- Eastern Asia 3 1000 t
- Western Africa 0 1000 t
- South-Eastern Asia 0 1000 t
- Central America 0 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.