Marine Fish, Other — Other uses (non-food) 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
Marine Fish, Other — Other uses (non-food) is currently reported for 24 countries. The highest value is 27 1000 t in Malaysia; the lowest is 0 1000 t in Nepal.
The median across all reporting countries is 0 1000 t, and the mean is 3 1000 t.
Over the past decade 2 countries rose and 6 fell. The largest increase was in Samoa (up 300.0%), and the largest decrease in Comoros (down 100.0%).
Marine Fish, Other — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Malaysia | 27 1000 t | 2023 | down 22.9% | falling |
| 2 | Georgia | 12 1000 t | 2023 | — | volatile |
| 3 | Suriname | 10 1000 t | 2023 | up 42.9% | rising |
| 4 | Belize | 8 1000 t | 2023 | — | volatile |
| 5 | Samoa | 4 1000 t | 2023 | up 300.0% | volatile |
| 6 | Nicaragua | 3 1000 t | 2023 | — | volatile |
| 7 | Marshall Islands | 2 1000 t | 2023 | — | rising |
| 7 | Greece | 2 1000 t | 2023 | — | volatile |
| 7 | Guinea-Bissau | 2 1000 t | 2023 | down 33.3% | falling |
| 10 | Tuvalu | 1 1000 t | 2023 | — | flat |
| 10 | Spain | 1 1000 t | 2023 | unchanged | volatile |
| 12 | Barbados | 0 1000 t | 2023 | — | volatile |
| 12 | Comoros | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Fiji | 0 1000 t | 2019 | — | volatile |
| 12 | Kiribati | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 12 | Mexico | 0 1000 t | 2023 | — | volatile |
| 12 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 12 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 12 | Sao Tome and Principe | 0 1000 t | 2019 | — | volatile |
| 12 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 12 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 12 | Nepal | 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 83 1000 t
- Asia 40 1000 t
- Small island developing States (SIDS) 37 1000 t
- South-Eastern Asia 27 1000 t
- Americas 22 1000 t
- Micronesia 11 1000 t
- Oceania 16 1000 t
- Micronesia (Federated States of) 8 1000 t
- Western Asia 13 1000 t
- Polynesia 5 1000 t
- Central America 11 1000 t
- Least Developed Countries (LDCs) 3 1000 t
- South America 10 1000 t
- Middle Africa 0 1000 t
- Melanesia 0 1000 t
- Net Food Importing Developing Countries (NFIDCs) 7 1000 t
- Low Income Food Deficit Countries (LIFDCs) 5 1000 t
- Southern Europe 3 1000 t
- European Union (27) 3 1000 t
- Europe 3 1000 t
- Western Africa 2 1000 t
- Africa 2 1000 t
- Caribbean 0 1000 t
- Eastern Africa 0 1000 t
- Southern Asia 0 1000 t
- Land Locked Developing Countries (LLDCs) 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.