Sugar beet β Residuals in Land Locked Developing Countries (LLDCs)
Land Locked Developing Countries (LLDCs): Sugar beet β Residuals was 0 1000 t in 2023. β Volatile
Sugar beet β Residuals in Land Locked Developing Countries (LLDCs), 2010β2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Land Locked Developing Countries (LLDCs) recorded 0 1000 t for sugar beet β residuals in 2023.
Compared with earlier readings it is up 100.0% on the previous year and down 100.0% over ten years.
Over the whole period, sugar beet β residuals in Land Locked Developing Countries (LLDCs) peaked at 41 1000 t in 2020 and was at its lowest, -320 1000 t, in 2022.
Land Locked Developing Countries (LLDCs) ranks 1st of 31 groups on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 2.5 1000 t | -32 1000 t | 31 1000 t | 10 |
| 2020s | -83.5 1000 t | -320 1000 t | 41 1000 t | 4 |
Countries ranked near Land Locked Developing Countries (LLDCs)
- 1 Marshall Islands 0 1000 t compare
- 1 Bahrain 0 1000 t compare
- 1 Kiribati 0 1000 t compare
- 1 Turkmenistan 0 1000 t compare
- 1 Libya 0 1000 t compare
- 1 Afghanistan 0 1000 t compare
- 1 Solomon Islands 0 1000 t compare
- 1 Albania 0 1000 t compare
- 1 Micronesia 0 1000 t compare
- 1 Uzbekistan 0 1000 t compare
- 1 Jordan 0 1000 t compare
- 1 Armenia 0 1000 t compare
- 1 Argentina 0 1000 t compare
- 1 Lesotho 0 1000 t compare
- 1 North Macedonia 0 1000 t compare
- 1 Israel 0 1000 t compare
- 1 Seychelles 0 1000 t compare
- 1 Montenegro 0 1000 t compare
- 1 Bahamas 0 1000 t compare
- 1 Iceland 0 1000 t compare
- 1 Bosnia and Herzegovina 0 1000 t compare
- 1 Kyrgyzstan 0 1000 t compare
- 1 Estonia 0 1000 t compare
- 1 Gambia 0 1000 t compare
- 1 Algeria 0 1000 t compare
- 1 Barbados 0 1000 t compare
- 1 Croatia 0 1000 t compare
- 1 Georgia 0 1000 t compare
- 1 Kuwait 0 1000 t compare
- 1 Finland 0 1000 t compare
- 1 Iraq 0 1000 t compare
- 1 Ireland 0 1000 t compare
- 1 China, Hong Kong SAR 0 1000 t compare
- 1 Chile 0 1000 t compare
- 1 Azerbaijan 0 1000 t compare
- 1 Sierra Leone 0 1000 t compare
- 1 Angola 0 1000 t compare
- 1 Samoa 0 1000 t compare
- 1 Maldives 0 1000 t compare
- 1 Luxembourg 0 1000 t compare
- 1 Bulgaria 0 1000 t compare
- 1 Tunisia 0 1000 t compare
- 1 Eswatini 0 1000 t compare
- 1 Lithuania 0 1000 t compare
- 1 Malta 0 1000 t compare
- 1 Belgium 0 1000 t compare
- 1 TΓΌrkiye 0 1000 t compare
- 1 Czechia 0 1000 t compare
- 1 Iran (Islamic Republic of) 0 1000 t compare
- 1 Greece 0 1000 t compare
- 1 Syrian Arab Republic 0 1000 t compare
- 1 Republic of Moldova 0 1000 t compare
- 1 Norway 0 1000 t compare
- 1 Slovakia 0 1000 t compare
- 1 Uruguay 0 1000 t compare
- 1 Viet Nam 0 1000 t compare
- 1 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 1 Dominican Republic 0 1000 t compare
- 1 Poland 0 1000 t compare
- 1 Slovenia 0 1000 t compare
- 1 Saudi Arabia 0 1000 t compare
- 1 Belarus 0 1000 t compare
- 1 Congo 0 1000 t compare
- 1 Nicaragua 0 1000 t compare
- 1 Serbia 0 1000 t compare
- 1 Fiji 0 1000 t compare
- 1 United Arab Emirates 0 1000 t compare
- 1 Cyprus 0 1000 t compare
- 1 Oman 0 1000 t compare
- 1 Jamaica 0 1000 t compare
- 1 Romania 0 1000 t compare
- 1 Hungary 0 1000 t compare
- 1 Yemen 0 1000 t compare
- 1 Austria 0 1000 t compare
- 1 Costa Rica 0 1000 t compare
- 1 Lebanon 0 1000 t compare
- 1 Netherlands (Kingdom of the) 0 1000 t compare
- 1 Denmark 0 1000 t compare
- 1 Malaysia 0 1000 t compare
- 1 Burkina Faso 0 1000 t compare
- 1 Switzerland 0 1000 t compare
- 1 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 1 Italy 0 1000 t compare
- 1 Niger 0 1000 t compare
- 1 Canada 0 1000 t compare
- 1 France 0 1000 t compare
- 1 Bangladesh 0 1000 t compare
- 1 Ecuador 0 1000 t compare
- 1 Zambia 0 1000 t compare
- 1 Germany 0 1000 t compare
- 1 Portugal 0 1000 t compare
- 1 Polynesia 0 1000 t compare
- 1 New Zealand 0 1000 t compare
- 1 Australia 0 1000 t compare
- 1 Namibia 0 1000 t compare
- 1 Guatemala 0 1000 t compare
- 1 Sweden 0 1000 t compare
- 1 Morocco 0 1000 t compare
- 1 Peru 0 1000 t compare
- 1 Zimbabwe 0 1000 t compare
- 1 Mozambique 0 1000 t compare
- 1 Rwanda 0 1000 t compare
- 1 Republic of Korea 0 1000 t compare
- 1 India 0 1000 t compare
- 1 Kazakhstan 0 1000 t compare
- 1 Ethiopia 0 1000 t compare
- 1 China, Taiwan Province of 0 1000 t compare
- 1 Botswana 0 1000 t compare
- 1 Mexico 0 1000 t compare
- 1 Ukraine 0 1000 t compare
- 1 Brazil 0 1000 t compare
- 1 Sri Lanka 0 1000 t compare
- 1 Spain 0 1000 t compare
- 1 China, mainland 0 1000 t compare
- 1 Senegal 0 1000 t compare
- 1 Thailand 0 1000 t compare
- 1 Democratic Republic of the Congo 0 1000 t compare
- 1 Ghana 0 1000 t compare
- 1 Indonesia 0 1000 t compare
- 1 CΓ΄te d'Ivoire 0 1000 t compare
- 1 Uganda 0 1000 t compare
- 1 Pakistan 0 1000 t compare
- 1 Colombia 0 1000 t compare
- 1 Nigeria 0 1000 t compare
- 1 Russian Federation 0 1000 t compare
- 1 Nepal 0 1000 t compare
- 1 Egypt 0 1000 t compare
- 1 United Republic of Tanzania 0 1000 t compare
- 1 Australia and New Zealand 0 1000 t compare
- 1 Kenya 0 1000 t compare
- 1 Melanesia 0 1000 t compare
- 1 China 0 1000 t compare
- 1 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 sugar beet β residuals in Land Locked Developing Countries (LLDCs)?
- Sugar beet β residuals 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 sugar beet β residuals recorded in Land Locked Developing Countries (LLDCs)?
- The highest recorded value was 41 1000 t in 2020.
- What is the lowest sugar beet β residuals recorded in Land Locked Developing Countries (LLDCs)?
- The lowest recorded value was -320 1000 t in 2022.
- How does Land Locked Developing Countries (LLDCs) rank for sugar beet β residuals?
- Land Locked Developing Countries (LLDCs) ranks 1st out of 31 groups with data for 2023.
- Is sugar beet β residuals rising or falling in Land Locked Developing Countries (LLDCs)?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- 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 Sugar beet β Residuals. 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.