Pelagic Fish — 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
Pelagic Fish — Other uses (non-food) is currently reported for 75 countries. The highest value is 194 1000 t in Belize; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0 1000 t, and the mean is 10.72 1000 t.
Over the past decade 8 countries rose and 7 fell. The largest increase was in Guinea-Bissau (up 2,900.0%), and the largest decrease in Saint Kitts and Nevis (down 100.0%).
Pelagic Fish — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Belize | 194 1000 t | 2023 | up 618.5% | volatile |
| 2 | Georgia | 127 1000 t | 2023 | up 60.8% | rising |
| 3 | Nauru | 120 1000 t | 2023 | — | rising |
| 4 | Guinea | 80 1000 t | 2023 | up 90.5% | volatile |
| 5 | Kiribati | 64 1000 t | 2023 | up 814.3% | volatile |
| 6 | Panama | 60 1000 t | 2023 | — | volatile |
| 7 | Marshall Islands | 47 1000 t | 2023 | — | rising |
| 8 | Guinea-Bissau | 30 1000 t | 2023 | up 2,900.0% | volatile |
| 9 | Maldives | 19 1000 t | 2023 | up 26.7% | rising |
| 10 | Tuvalu | 18 1000 t | 2023 | — | volatile |
| 11 | Solomon Islands | 10 1000 t | 2023 | — | volatile |
| 12 | Comoros | 9 1000 t | 2023 | down 59.1% | volatile |
| 13 | Malta | 7 1000 t | 2023 | up 16.7% | rising |
| 14 | Denmark | 6 1000 t | 2023 | down 53.8% | volatile |
| 15 | United Arab Emirates | 5 1000 t | 2023 | — | volatile |
| 16 | French Polynesia | 3 1000 t | 2023 | unchanged | falling |
| 17 | Barbados | 2 1000 t | 2023 | up 100.0% | rising |
| 17 | Suriname | 2 1000 t | 2023 | unchanged | rising |
| 19 | Samoa | 1 1000 t | 2023 | unchanged | volatile |
| 20 | Albania | 0 1000 t | 2023 | — | flat |
| 20 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 20 | Belgium | 0 1000 t | 2023 | — | flat |
| 20 | Bahrain | 0 1000 t | 2023 | — | flat |
| 20 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 20 | Belarus | 0 1000 t | 2023 | — | flat |
| 20 | Chile | 0 1000 t | 2023 | — | flat |
| 20 | China (People’s Republic of) | 0 1000 t | 2023 | — | flat |
| 20 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 20 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 20 | Germany | 0 1000 t | 2023 | — | flat |
| 20 | Ecuador | 0 1000 t | 2023 | — | flat |
| 20 | Spain | 0 1000 t | 2019 | — | flat |
| 20 | Estonia | 0 1000 t | 2023 | — | flat |
| 20 | Finland | 0 1000 t | 2023 | — | flat |
| 20 | Fiji | 0 1000 t | 2017 | — | flat |
| 20 | France | 0 1000 t | 2023 | — | flat |
| 20 | Gabon | 0 1000 t | 2019 | — | flat |
| 20 | Guyana | 0 1000 t | 2023 | — | flat |
| 20 | Honduras | 0 1000 t | 2023 | — | flat |
| 20 | Ireland | 0 1000 t | 2023 | — | flat |
| 20 | Iceland | 0 1000 t | 2023 | — | volatile |
| 20 | Italy | 0 1000 t | 2023 | — | flat |
| 20 | Saint Kitts and Nevis | 0 1000 t | 2023 | down 100.0% | volatile |
| 20 | Kuwait | 0 1000 t | 2023 | — | flat |
| 20 | Lithuania | 0 1000 t | 2023 | — | flat |
| 20 | Latvia | 0 1000 t | 2023 | — | flat |
| 20 | Mexico | 0 1000 t | 2023 | — | flat |
| 20 | Myanmar | 0 1000 t | 2023 | — | flat |
| 20 | Mongolia | 0 1000 t | 2023 | — | flat |
| 20 | Mauritania | 0 1000 t | 2023 | — | flat |
| 20 | Mauritius | 0 1000 t | 2023 | — | flat |
| 20 | Namibia | 0 1000 t | 2023 | — | flat |
| 20 | Norway | 0 1000 t | 2023 | — | flat |
| 20 | New Zealand | 0 1000 t | 2023 | — | flat |
| 20 | Oman | 0 1000 t | 2023 | — | flat |
| 20 | Pakistan | 0 1000 t | 2023 | — | flat |
| 20 | Peru | 0 1000 t | 2015 | — | flat |
| 20 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 20 | Poland | 0 1000 t | 2023 | — | flat |
| 20 | Qatar | 0 1000 t | 2023 | — | flat |
| 20 | Senegal | 0 1000 t | 2019 | — | flat |
| 20 | El Salvador | 0 1000 t | 2023 | — | flat |
| 20 | Sao Tome and Principe | 0 1000 t | 2023 | down 100.0% | volatile |
| 20 | Sweden | 0 1000 t | 2023 | — | flat |
| 20 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 20 | Thailand | 0 1000 t | 2023 | — | flat |
| 20 | Tonga | 0 1000 t | 2023 | — | flat |
| 20 | Tunisia | 0 1000 t | 2019 | — | flat |
| 20 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | volatile |
| 20 | Vanuatu | 0 1000 t | 2023 | down 100.0% | volatile |
| 20 | Republic of Korea | 0 1000 t | 2019 | — | flat |
| 20 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 20 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 20 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 20 | United Kingdom of Great Britain and Northern Ireland | 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 828 1000 t
- Americas 258 1000 t
- Net Food Importing Developing Countries (NFIDCs) 242 1000 t
- Low Income Food Deficit Countries (LIFDCs) 128 1000 t
- European Union (27) 13 1000 t
- Northern Europe 6 1000 t
- Northern America 0 1000 t
- Western Europe 0 1000 t
- United States of America 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.