Crustaceans — 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
Crustaceans — Other uses (non-food) is currently reported for 68 countries. The highest value is 59 1000 t in Indonesia; the lowest is 0 1000 t in Sri Lanka.
The median across all reporting countries is 0 1000 t, and the mean is 1.29 1000 t.
Crustaceans — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 59 1000 t | 2023 | down 57.9% | falling |
| 2 | Peru | 10 1000 t | 2023 | — | volatile |
| 3 | Iceland | 7 1000 t | 2023 | — | volatile |
| 4 | Melanesia | 2 1000 t | 2023 | — | volatile |
| 4 | Uruguay | 2 1000 t | 2023 | — | volatile |
| 4 | Suriname | 2 1000 t | 2023 | down 50.0% | falling |
| 4 | Nicaragua | 2 1000 t | 2023 | down 50.0% | volatile |
| 4 | New Caledonia | 2 1000 t | 2023 | — | volatile |
| 9 | Panama | 1 1000 t | 2023 | unchanged | falling |
| 9 | Brazil | 1 1000 t | 2023 | down 66.7% | volatile |
| 11 | Belarus | 0 1000 t | 2023 | — | flat |
| 11 | El Salvador | 0 1000 t | 2023 | — | flat |
| 11 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 11 | Sweden | 0 1000 t | 2023 | — | flat |
| 11 | Seychelles | 0 1000 t | 2023 | — | flat |
| 11 | Thailand | 0 1000 t | 2023 | — | flat |
| 11 | Tonga | 0 1000 t | 2023 | — | flat |
| 11 | Qatar | 0 1000 t | 2023 | — | flat |
| 11 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 11 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 11 | Germany | 0 1000 t | 2023 | — | flat |
| 11 | Poland | 0 1000 t | 2023 | — | flat |
| 11 | Bahrain | 0 1000 t | 2023 | — | flat |
| 11 | Belgium | 0 1000 t | 2023 | — | flat |
| 11 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 11 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Micronesia | 0 1000 t | 2023 | — | flat |
| 11 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 11 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Polynesia | 0 1000 t | 2023 | — | flat |
| 11 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 11 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 11 | Albania | 0 1000 t | 2023 | — | flat |
| 11 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 11 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 11 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 11 | Ireland | 0 1000 t | 2023 | — | flat |
| 11 | Kuwait | 0 1000 t | 2023 | — | flat |
| 11 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 11 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 11 | Kiribati | 0 1000 t | 2023 | — | flat |
| 11 | Italy | 0 1000 t | 2023 | — | flat |
| 11 | Denmark | 0 1000 t | 2023 | — | flat |
| 11 | Ecuador | 0 1000 t | 2023 | — | flat |
| 11 | China | 0 1000 t | 2023 | — | flat |
| 11 | Pakistan | 0 1000 t | 2023 | — | flat |
| 11 | Comoros | 0 1000 t | 2017 | down 100.0% | volatile |
| 11 | Estonia | 0 1000 t | 2023 | — | flat |
| 11 | Honduras | 0 1000 t | 2023 | — | flat |
| 11 | Guyana | 0 1000 t | 2023 | — | flat |
| 11 | Finland | 0 1000 t | 2023 | — | flat |
| 11 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 11 | France | 0 1000 t | 2023 | — | flat |
| 11 | Lithuania | 0 1000 t | 2023 | — | flat |
| 11 | Oman | 0 1000 t | 2023 | — | flat |
| 11 | New Zealand | 0 1000 t | 2023 | — | flat |
| 11 | Norway | 0 1000 t | 2023 | — | flat |
| 11 | Chile | 0 1000 t | 2023 | — | flat |
| 11 | Namibia | 0 1000 t | 2023 | — | flat |
| 11 | Mauritius | 0 1000 t | 2023 | — | flat |
| 11 | Mauritania | 0 1000 t | 2023 | — | flat |
| 11 | Mongolia | 0 1000 t | 2023 | — | flat |
| 11 | Myanmar | 0 1000 t | 2023 | — | flat |
| 11 | Mexico | 0 1000 t | 2023 | — | flat |
| 11 | Belize | 0 1000 t | 2023 | — | volatile |
| 11 | Maldives | 0 1000 t | 2023 | — | flat |
| 11 | Latvia | 0 1000 t | 2023 | — | flat |
| 11 | Sri Lanka | 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 86 1000 t
- South-Eastern Asia 59 1000 t
- Asia 59 1000 t
- Americas 18 1000 t
- South America 15 1000 t
- Net Food Importing Developing Countries (NFIDCs) 10 1000 t
- Europe 7 1000 t
- Northern Europe 7 1000 t
- Small island developing States (SIDS) 5 1000 t
- Central America 3 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2 1000 t
- Oceania 2 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.