Yams — Stock Variation in Germany
Germany: Yams — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Yams — Stock Variation in Germany, 2014–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Germany recorded 0 1000 t for yams — stock variation in 2023. That is the lowest value across all 10 years on record.
The figure is down 100.0% over ten years.
Over the whole period, yams — stock variation in Germany peaked at 1 1000 t in 2014 and was at its lowest, 0 1000 t, in 2015.
Germany ranks 9th of 96 countries 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 | 0.1667 1000 t | 0 1000 t | 1 1000 t | 6 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Germany
- 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 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 Germany
- Agriculture share gdp 0.8714 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 0.8714 (2025)
- Agricultural raw materials exports 0.7% (2024)
- Agricultural raw materials imports 1.1% (2024)
- Rural population 17.9% (2025)
- Rural population growth -0.7% (2025)
- Rural population 14.91 million (2025)
- Agriculture, forestry, and fishing, value added 0.9% (2025)
- Agriculture, forestry, and fishing, value added 44.02 billion current US$ (2025)
- Bananas — Production 0 t (2024)
Frequently asked questions
- What is yams — stock variation in Germany?
- Yams — stock variation in Germany was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest yams — stock variation recorded in Germany?
- The highest recorded value was 1 1000 t in 2014.
- What is the lowest yams — stock variation recorded in Germany?
- The lowest recorded value was 0 1000 t in 2015.
- How does Germany rank for yams — stock variation?
- Germany ranks 9th out of 96 countries with data for 2023.
- Is yams — stock variation rising or falling in Germany?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Germany 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 — 10 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.