Pelagic Fish β Stock Variation in Land Locked Developing Countries (LLDCs)
Land Locked Developing Countries (LLDCs): Pelagic Fish β Stock Variation was 0 1000 t in 2023. β¬ Flat
Pelagic Fish β Stock Variation in Land Locked Developing Countries (LLDCs), 2010β2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, pelagic fish β stock variation in Land Locked Developing Countries (LLDCs) stood at 0 1000 t. That is the highest value across all 14 years on record.
Over the whole period, pelagic fish β stock variation in Land Locked Developing Countries (LLDCs) peaked at 0 1000 t in 2010 and was at its lowest, 0 1000 t, in 2010.
That places Land Locked Developing Countries (LLDCs) 3rd out of 31 groups with data for 2023, putting it in the top 10%.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0 1000 t | 0 1000 t | 0 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Land Locked Developing Countries (LLDCs)
- 1 Peru 103 1000 t compare
- 2 Micronesia (Federated States of) 0 1000 t compare
- 2 Tuvalu 0 1000 t compare
- 2 Tonga 0 1000 t compare
- 2 Qatar 0 1000 t compare
- 2 Bahrain 0 1000 t compare
- 2 Lesotho 0 1000 t compare
- 2 Kiribati 0 1000 t compare
- 2 Guinea-Bissau 0 1000 t compare
- 2 Micronesia 0 1000 t compare
- 2 Mongolia 0 1000 t compare
- 2 Saint Kitts and Nevis 0 1000 t compare
- 2 Libya 0 1000 t compare
- 2 Sierra Leone 0 1000 t compare
- 2 Solomon Islands 0 1000 t compare
- 2 Albania 0 1000 t compare
- 2 Suriname 0 1000 t compare
- 2 Kuwait 0 1000 t compare
- 2 Maldives 0 1000 t compare
- 2 Vanuatu 0 1000 t compare
- 2 Gabon 0 1000 t compare
- 2 Guinea 0 1000 t compare
- 2 Eswatini 0 1000 t compare
- 2 Samoa 0 1000 t compare
- 2 Guyana 0 1000 t compare
- 2 Grenada 0 1000 t compare
- 2 Angola 0 1000 t compare
- 2 Republic of Moldova 0 1000 t compare
- 2 Azerbaijan 0 1000 t compare
- 2 North Macedonia 0 1000 t compare
- 2 Oman 0 1000 t compare
- 2 Seychelles 0 1000 t compare
- 2 Saint Lucia 0 1000 t compare
- 2 Estonia 0 1000 t compare
- 2 Luxembourg 0 1000 t compare
- 2 Bahamas 0 1000 t compare
- 2 Uruguay 0 1000 t compare
- 2 Lithuania 0 1000 t compare
- 2 Finland 0 1000 t compare
- 2 Ukraine 0 1000 t compare
- 2 Israel 0 1000 t compare
- 2 Myanmar 0 1000 t compare
- 2 Croatia 0 1000 t compare
- 2 Yemen 0 1000 t compare
- 2 Nicaragua 0 1000 t compare
- 2 Latvia 0 1000 t compare
- 2 Antigua and Barbuda 0 1000 t compare
- 2 Argentina 0 1000 t compare
- 2 Norway 0 1000 t compare
- 2 Zambia 0 1000 t compare
- 2 Switzerland 0 1000 t compare
- 2 Bulgaria 0 1000 t compare
- 2 Panama 0 1000 t compare
- 2 Dominican Republic 0 1000 t compare
- 2 Ireland 0 1000 t compare
- 2 Syrian Arab Republic 0 1000 t compare
- 2 Slovenia 0 1000 t compare
- 2 El Salvador 0 1000 t compare
- 2 Belize 0 1000 t compare
- 2 Ghana 0 1000 t compare
- 2 Mauritius 0 1000 t compare
- 2 Belgium 0 1000 t compare
- 2 Russian Federation 0 1000 t compare
- 2 United Arab Emirates 0 1000 t compare
- 2 Canada 0 1000 t compare
- 2 Senegal 0 1000 t compare
- 2 Denmark 0 1000 t compare
- 2 Portugal 0 1000 t compare
- 2 TΓΌrkiye 0 1000 t compare
- 2 Poland 0 1000 t compare
- 2 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 2 Zimbabwe 0 1000 t compare
- 2 Malta 0 1000 t compare
- 2 Trinidad and Tobago 0 1000 t compare
- 2 New Zealand 0 1000 t compare
- 2 China, Hong Kong SAR 0 1000 t compare
- 2 Malaysia 0 1000 t compare
- 2 Sweden 0 1000 t compare
- 2 Kazakhstan 0 1000 t compare
- 2 Morocco 0 1000 t compare
- 2 Botswana 0 1000 t compare
- 2 Ecuador 0 1000 t compare
- 2 Fiji 0 1000 t compare
- 2 CΓ΄te d'Ivoire 0 1000 t compare
- 2 Australia 0 1000 t compare
- 2 Hungary 0 1000 t compare
- 2 Polynesia 0 1000 t compare
- 2 Uganda 0 1000 t compare
- 2 Greece 0 1000 t compare
- 2 Philippines 0 1000 t compare
- 2 Republic of Korea 0 1000 t compare
- 2 Pakistan 0 1000 t compare
- 2 Cyprus 0 1000 t compare
- 2 India 0 1000 t compare
- 2 Italy 0 1000 t compare
- 2 Costa Rica 0 1000 t compare
- 2 Honduras 0 1000 t compare
- 2 Spain 0 1000 t compare
- 2 United Republic of Tanzania 0 1000 t compare
- 2 Thailand 0 1000 t compare
- 2 Colombia 0 1000 t compare
- 2 Mexico 0 1000 t compare
- 2 Guatemala 0 1000 t compare
- 2 Australia and New Zealand 0 1000 t compare
- 2 Indonesia 0 1000 t compare
- 2 Caribbean 0 1000 t compare
More agriculture & rural data for Land Locked Developing Countries (LLDCs)
- Tomatoes β Production 7.98 million t (2024)
- Bananas β Production 8.60 million t (2024)
- Bananas β Area harvested 675,433 ha (2024)
- Unmanufactured tobacco β Production 486,241 t (2024)
- Unmanufactured tobacco β Area harvested 326,787 ha (2024)
- Tomatoes β Yield 26,848 kg/ha (2024)
- Tomatoes β Area harvested 297,257 ha (2024)
- Swine / pigs β Stocks 39.08 million An (2024)
- Cabbages β Production 4.94 million t (2024)
- Edible offal of pigs, fresh, chilled or frozen β Production 100,973 t (2024)
Frequently asked questions
- What is pelagic fish β stock variation in Land Locked Developing Countries (LLDCs)?
- Pelagic fish β stock variation in Land Locked Developing Countries (LLDCs) was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest pelagic fish β stock variation recorded in Land Locked Developing Countries (LLDCs)?
- The highest recorded value was 0 1000 t in 2010.
- What is the lowest pelagic fish β stock variation recorded in Land Locked Developing Countries (LLDCs)?
- The lowest recorded value was 0 1000 t in 2010.
- How does Land Locked Developing Countries (LLDCs) rank for pelagic fish β stock variation?
- Land Locked Developing Countries (LLDCs) ranks 3rd out of 31 groups with data for 2023.
- Where does this Land Locked Developing Countries (LLDCs) data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Pelagic Fish β Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.