Yams — Stock Variation in Least Developed Countries (LDCs)
Least Developed Countries (LDCs): Yams — Stock Variation was 34 1000 t in 2023. ◆ Volatile
Yams — Stock Variation in Least Developed Countries (LDCs), 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for yams — stock variation in Least Developed Countries (LDCs) is 34 1000 t, measured in 2023.
Compared with earlier readings it is up 120.1% on the previous year and down 93.3% over ten years.
Over the whole period, yams — stock variation in Least Developed Countries (LDCs) peaked at 511 1000 t in 2013 and was at its lowest, -2,040 1000 t, in 2012.
That places Least Developed Countries (LDCs) 6th out of 30 groups with data for 2023, putting it in the top quarter.
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 | -98.1 1000 t | -2,040 1000 t | 511 1000 t | 10 |
| 2020s | -125.75 1000 t | -193 1000 t | 34 1000 t | 4 |
Countries ranked near Least Developed Countries (LDCs)
- 3 Cameroon 6 1000 t compare
- 4 Dominican Republic 5 1000 t compare
- 6 United Kingdom of Great Britain and Northern Ireland 2 1000 t compare
- 7 Burkina Faso 1 1000 t compare
- 7 Brazil 1 1000 t compare
- 9 Marshall Islands 0 1000 t compare
- 9 Tonga 0 1000 t compare
- 9 Bahrain 0 1000 t compare
- 9 Qatar 0 1000 t compare
- 9 Cuba 0 1000 t compare
- 9 Comoros 0 1000 t compare
- 9 Sao Tome and Principe 0 1000 t compare
- 9 China, Macao SAR 0 1000 t compare
- 9 Liberia 0 1000 t compare
- 9 Saint Kitts and Nevis 0 1000 t compare
- 9 Solomon Islands 0 1000 t compare
- 9 Micronesia 0 1000 t compare
- 9 Iceland 0 1000 t compare
- 9 Saint Vincent and the Grenadines 0 1000 t compare
- 9 Grenada 0 1000 t compare
- 9 Gabon 0 1000 t compare
- 9 Bahamas 0 1000 t compare
- 9 Kuwait 0 1000 t compare
- 9 Barbados 0 1000 t compare
- 9 Saint Lucia 0 1000 t compare
- 9 China, Hong Kong SAR 0 1000 t compare
- 9 Guyana 0 1000 t compare
- 9 Congo 0 1000 t compare
- 9 Finland 0 1000 t compare
- 9 Maldives 0 1000 t compare
- 9 Ireland 0 1000 t compare
- 9 Belgium 0 1000 t compare
- 9 Haiti 0 1000 t compare
- 9 Malaysia 0 1000 t compare
- 9 Papua New Guinea 0 1000 t compare
- 9 Panama 0 1000 t compare
- 9 Oman 0 1000 t compare
- 9 Norway 0 1000 t compare
- 9 Mauritania 0 1000 t compare
- 9 Denmark 0 1000 t compare
- 9 Trinidad and Tobago 0 1000 t compare
- 9 Costa Rica 0 1000 t compare
- 9 Antigua and Barbuda 0 1000 t compare
- 9 Fiji 0 1000 t compare
- 9 Nicaragua 0 1000 t compare
- 9 Cambodia 0 1000 t compare
- 9 Luxembourg 0 1000 t compare
- 9 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 9 Jamaica 0 1000 t compare
- 9 Philippines 0 1000 t compare
- 9 Sweden 0 1000 t compare
- 9 Czechia 0 1000 t compare
- 9 France 0 1000 t compare
- 9 Tunisia 0 1000 t compare
- 9 Germany 0 1000 t compare
- 9 Austria 0 1000 t compare
- 9 Netherlands (Kingdom of the) 0 1000 t compare
- 9 Italy 0 1000 t compare
- 9 New Zealand 0 1000 t compare
- 9 Namibia 0 1000 t compare
- 9 New Caledonia 0 1000 t compare
- 9 Belize 0 1000 t compare
- 9 Canada 0 1000 t compare
- 9 Romania 0 1000 t compare
- 9 Switzerland 0 1000 t compare
- 9 Colombia 0 1000 t compare
- 9 Thailand 0 1000 t compare
- 9 Democratic Republic of the Congo 0 1000 t compare
- 9 Portugal 0 1000 t compare
- 9 Côte d'Ivoire 0 1000 t compare
- 9 China, Taiwan Province of 0 1000 t compare
- 9 Niger 0 1000 t compare
- 9 Botswana 0 1000 t compare
- 9 Pakistan 0 1000 t compare
- 9 Indonesia 0 1000 t compare
- 9 India 0 1000 t compare
- 9 Australia 0 1000 t compare
- 9 Ethiopia 0 1000 t compare
- 9 Guatemala 0 1000 t compare
- 9 Republic of Korea 0 1000 t compare
- 9 Senegal 0 1000 t compare
- 9 Nigeria 0 1000 t compare
- 9 Rwanda 0 1000 t compare
- 9 Spain 0 1000 t compare
- 9 Russian Federation 0 1000 t compare
- 9 United Republic of Tanzania 0 1000 t compare
- 9 China, mainland 0 1000 t compare
- 9 Australia and New Zealand 0 1000 t compare
- 9 Melanesia 0 1000 t compare
- 9 Kenya 0 1000 t compare
- 9 China 0 1000 t compare
More agriculture & rural data for Least Developed Countries (LDCs)
- Bananas — Area harvested 1.83 million ha (2024)
- Unmanufactured tobacco — Area harvested 482,612 ha (2024)
- Tomatoes — Production 7.49 million t (2024)
- Meat of pig with the bone, fresh or chilled — Yield/Carcass Weight 47 kg/An (2024)
- Meat of pig with the bone, fresh or chilled — Production 2.07 million t (2024)
- Unmanufactured tobacco — Production 596,645 t (2024)
- Fat of pigs — Producing Animals/Slaughtered 43.68 million An (2024)
- Fat of pigs — Production 146,458 t (2024)
- Edible offal of pigs, fresh, chilled or frozen — Production 133,673 t (2024)
- Edible offal of pigs, fresh, chilled or frozen — Producing 43.68 million An (2024)
Frequently asked questions
- What is yams — stock variation in Least Developed Countries (LDCs)?
- Yams — stock variation in Least Developed Countries (LDCs) was 34 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest yams — stock variation recorded in Least Developed Countries (LDCs)?
- The highest recorded value was 511 1000 t in 2013.
- What is the lowest yams — stock variation recorded in Least Developed Countries (LDCs)?
- The lowest recorded value was -2,040 1000 t in 2012.
- How does Least Developed Countries (LDCs) rank for yams — stock variation?
- Least Developed Countries (LDCs) ranks 6th out of 30 groups with data for 2023.
- Is yams — stock variation rising or falling in Least Developed Countries (LDCs)?
- Over the last ten years it is down 93.3%. The long-run trend across the full record is volatile.
- Where does this Least Developed Countries (LDCs) data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Yams — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 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.