Demersal Fish — Stock Variation 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
Demersal Fish — Stock Variation is currently reported for 93 countries. The highest value is 0 1000 t in Albania; the lowest is -42 1000 t in Denmark.
The median across all reporting countries is 0 1000 t, and the mean is -0.7527 1000 t.
Over the past decade 6 countries rose and 3 fell. The largest increase was in Switzerland (up 100.0%), and the largest decrease in Argentina (down 100.0%).
Demersal Fish — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Albania | 0 1000 t | 2023 | — | flat |
| 1 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 1 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 1 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 1 | Belgium | 0 1000 t | 2023 | — | flat |
| 1 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 1 | Bahrain | 0 1000 t | 2023 | — | flat |
| 1 | Bahamas | 0 1000 t | 2023 | — | flat |
| 1 | Belarus | 0 1000 t | 2023 | — | flat |
| 1 | Belize | 0 1000 t | 2023 | — | flat |
| 1 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Botswana | 0 1000 t | 2019 | — | flat |
| 1 | Canada | 0 1000 t | 2023 | — | volatile |
| 1 | Switzerland | 0 1000 t | 2023 | up 100.0% | flat |
| 1 | Chile | 0 1000 t | 2023 | — | flat |
| 1 | China | 0 1000 t | 2023 | — | flat |
| 1 | Congo | 0 1000 t | 2023 | — | flat |
| 1 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 1 | Germany | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Ecuador | 0 1000 t | 2023 | — | flat |
| 1 | Spain | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Estonia | 0 1000 t | 2023 | — | volatile |
| 1 | Finland | 0 1000 t | 2023 | — | flat |
| 1 | France | 0 1000 t | 2023 | — | flat |
| 1 | Gabon | 0 1000 t | 2023 | — | flat |
| 1 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 1 | Guatemala | 0 1000 t | 2023 | — | flat |
| 1 | Guyana | 0 1000 t | 2023 | — | flat |
| 1 | Honduras | 0 1000 t | 2023 | — | flat |
| 1 | Indonesia | 0 1000 t | 2023 | — | flat |
| 1 | India | 0 1000 t | 2023 | — | flat |
| 1 | Ireland | 0 1000 t | 2023 | — | flat |
| 1 | Iceland | 0 1000 t | 2023 | — | flat |
| 1 | Italy | 0 1000 t | 2023 | — | flat |
| 1 | Jamaica | 0 1000 t | 2023 | — | flat |
| 1 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 1 | Kiribati | 0 1000 t | 2023 | — | flat |
| 1 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 1 | Kuwait | 0 1000 t | 2023 | — | flat |
| 1 | Libya | 0 1000 t | 2017 | — | flat |
| 1 | Lithuania | 0 1000 t | 2023 | — | flat |
| 1 | Latvia | 0 1000 t | 2023 | — | flat |
| 1 | Maldives | 0 1000 t | 2023 | — | flat |
| 1 | Mexico | 0 1000 t | 2023 | — | flat |
| 1 | Malta | 0 1000 t | 2023 | — | volatile |
| 1 | Myanmar | 0 1000 t | 2023 | — | flat |
| 1 | Mongolia | 0 1000 t | 2023 | — | flat |
| 1 | Mauritania | 0 1000 t | 2023 | — | flat |
| 1 | Mauritius | 0 1000 t | 2023 | — | flat |
| 1 | Malawi | 0 1000 t | 2023 | — | flat |
| 1 | Malaysia | 0 1000 t | 2023 | — | flat |
| 1 | Namibia | 0 1000 t | 2023 | — | volatile |
| 1 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 1 | Nigeria | 0 1000 t | 2023 | up 100.0% | flat |
| 1 | Norway | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 1 | Oman | 0 1000 t | 2023 | — | flat |
| 1 | Pakistan | 0 1000 t | 2023 | — | flat |
| 1 | Panama | 0 1000 t | 2023 | — | flat |
| 1 | Peru | 0 1000 t | 2023 | — | flat |
| 1 | Poland | 0 1000 t | 2023 | — | flat |
| 1 | Portugal | 0 1000 t | 2023 | — | volatile |
| 1 | Qatar | 0 1000 t | 2023 | — | flat |
| 1 | Senegal | 0 1000 t | 2023 | — | flat |
| 1 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 1 | El Salvador | 0 1000 t | 2023 | — | flat |
| 1 | Suriname | 0 1000 t | 2023 | — | flat |
| 1 | Sweden | 0 1000 t | 2023 | — | flat |
| 1 | Seychelles | 0 1000 t | 2023 | — | flat |
| 1 | Thailand | 0 1000 t | 2023 | — | flat |
| 1 | Tonga | 0 1000 t | 2023 | — | flat |
| 1 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 1 | Tunisia | 0 1000 t | 2023 | — | flat |
| 1 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 1 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 1 | Micronesia | 0 1000 t | 2023 | — | flat |
| 1 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 1 | Melanesia | 0 1000 t | 2023 | — | flat |
| 1 | Polynesia | 0 1000 t | 2023 | — | flat |
| 1 | Caribbean | 0 1000 t | 2023 | — | flat |
| 1 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 1 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 1 | Türkiye | 0 1000 t | 2023 | — | flat |
| 1 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 1 | China, mainland | 0 1000 t | 2023 | — | flat |
| 1 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 1 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 1 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 1 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 92 | Netherlands (Kingdom of the) | -28 1000 t | 2023 | — | volatile |
| 93 | Denmark | -42 1000 t | 2023 | up 16.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Africa 0 1000 t
- South Africa 0 1000 t
- Asia 0 1000 t
- Oceania 0 1000 t
- South America 0 1000 t
- Americas 0 1000 t
- Northern America 0 1000 t
- Small Island Developing States (SIDS) 0 1000 t
- Least Developed Countries (LDCs) 0 1000 t
- Central Asia 0 1000 t
- Eastern Europe 0 1000 t
- Eastern Africa 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.