Cottonseed — Stock Variation in Middle Africa
Middle Africa: Cottonseed — Stock Variation was -14 1000 t in 2023. ◆ Volatile
Cottonseed — Stock Variation in Middle Africa, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for cottonseed — stock variation in Middle Africa is -14 1000 t, measured in 2023.
That represents a change of up 79.1% on the previous year and up 51.7% over ten years.
Over the whole period, cottonseed — stock variation in Middle Africa peaked at 56 1000 t in 2016 and was at its lowest, -67 1000 t, in 2022.
That places Middle Africa 23rd out of 30 groups with data for 2023, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Cottonseed — Stock Variation in Middle Africa, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 22 1000 t | — |
| 2011 | -5 1000 t | -122.7% |
| 2012 | -8 1000 t | +60.0% |
| 2013 | -29 1000 t | +262.5% |
| 2014 | 40 1000 t | -237.9% |
| 2015 | 37 1000 t | -7.5% |
| 2016 | 56 1000 t | +51.4% |
| 2017 | -16 1000 t | -128.6% |
| 2018 | -1 1000 t | -93.8% |
| 2019 | 22 1000 t | -2300.0% |
| 2020 | 0 1000 t | -100.0% |
| 2021 | -58 1000 t | — |
| 2022 | -67 1000 t | +15.5% |
| 2023 | -14 1000 t | -79.1% |
Biggest year-on-year movements
Years where Cottonseed — Stock Variation in Middle Africa changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2019 | +2300.0% | -1 1000 t | 22 1000 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 11.8 1000 t | -29 1000 t | 56 1000 t | 10 |
| 2020s | -34.75 1000 t | -67 1000 t | 0 1000 t | 4 |
Countries ranked near Middle Africa
- 21 Afghanistan 1 1000 t compare
- 21 Iran (Islamic Republic of) 1 1000 t compare
- 23 Qatar 0 1000 t compare
- 23 Bhutan 0 1000 t
- 23 Democratic People's Republic of Korea 0 1000 t
- 23 Cuba 0 1000 t
- 23 Guinea-Bissau 0 1000 t
- 23 Saint Kitts and Nevis 0 1000 t
- 23 Vanuatu 0 1000 t
- 23 Mauritania 0 1000 t
- 23 Albania 0 1000 t
- 23 Kuwait 0 1000 t
- 23 Grenada 0 1000 t
- 23 Montenegro 0 1000 t
- 23 Bahamas 0 1000 t
- 23 Jordan 0 1000 t
- 23 Iceland 0 1000 t
- 23 Gambia 0 1000 t
- 23 Georgia 0 1000 t
- 23 Samoa 0 1000 t
- 23 Estonia 0 1000 t
- 23 Angola 0 1000 t
- 23 North Macedonia 0 1000 t
- 23 Maldives 0 1000 t
- 23 Iraq 0 1000 t
- 23 Barbados 0 1000 t
- 23 Finland 0 1000 t
- 23 Antigua and Barbuda 0 1000 t
- 23 Guinea 0 1000 t
- 23 Bosnia and Herzegovina 0 1000 t
- 23 China, Hong Kong SAR 0 1000 t
- 23 Paraguay 0 1000 t compare
- 23 Tunisia 0 1000 t compare
- 23 Oman 0 1000 t
- 23 Luxembourg 0 1000 t
- 23 Mauritius 0 1000 t
- 23 Eswatini 0 1000 t
- 23 Haiti 0 1000 t
- 23 Papua New Guinea 0 1000 t
- 23 Algeria 0 1000 t
- 23 Chile 0 1000 t compare
- 23 Latvia 0 1000 t
- 23 Croatia 0 1000 t
- 23 Lithuania 0 1000 t
- 23 Lao People's Democratic Republic 0 1000 t
- 23 Ireland 0 1000 t
- 23 Viet Nam 0 1000 t
- 23 Saudi Arabia 0 1000 t
- 23 Belgium 0 1000 t
- 23 Niger 0 1000 t
- 23 Malta 0 1000 t
- 23 United Kingdom of Great Britain and Northern Ireland 0 1000 t
- 23 Dominican Republic 0 1000 t
- 23 El Salvador 0 1000 t
- 23 Slovakia 0 1000 t
- 23 Uruguay 0 1000 t
- 23 Panama 0 1000 t
- 23 United Arab Emirates 0 1000 t compare
- 23 Fiji 0 1000 t
- 23 Yemen 0 1000 t
- 23 Norway 0 1000 t
- 23 Czechia 0 1000 t
- 23 Bulgaria 0 1000 t compare
- 23 Syrian Arab Republic 0 1000 t compare
- 23 Lebanon 0 1000 t
- 23 Nicaragua 0 1000 t compare
- 23 Poland 0 1000 t
- 23 Denmark 0 1000 t
- 23 Slovenia 0 1000 t
- 23 Romania 0 1000 t compare
- 23 Jamaica 0 1000 t
- 23 Namibia 0 1000 t compare
- 23 Portugal 0 1000 t
- 23 Canada 0 1000 t compare
- 23 Netherlands (Kingdom of the) 0 1000 t
- 23 Polynesia 0 1000 t
- 23 Rwanda 0 1000 t
- 23 Switzerland 0 1000 t
- 23 Bolivia (Plurinational State of) 0 1000 t
- 23 Madagascar 0 1000 t
- 23 Hungary 0 1000 t
- 23 France 0 1000 t
- 23 Sweden 0 1000 t
- 23 Austria 0 1000 t
- 23 Italy 0 1000 t compare
- 23 Cambodia 0 1000 t
- 23 New Zealand 0 1000 t
- 23 Morocco 0 1000 t compare
- 23 Cyprus 0 1000 t
- 23 Botswana 0 1000 t
- 23 Ecuador 0 1000 t
- 23 China, Taiwan Province of 0 1000 t
- 23 Senegal 0 1000 t compare
- 23 Costa Rica 0 1000 t
- 23 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 23 Honduras 0 1000 t
- 23 Côte d'Ivoire 0 1000 t compare
- 23 Bangladesh 0 1000 t
- 23 Thailand 0 1000 t
- 23 Philippines 0 1000 t
- 23 Germany 0 1000 t
- 23 Peru 0 1000 t compare
- 23 South Africa 0 1000 t compare
- 23 Russian Federation 0 1000 t
- 23 Sri Lanka 0 1000 t
- 23 Uganda 0 1000 t compare
- 23 Guatemala 0 1000 t
- 23 Indonesia 0 1000 t compare
- 23 Egypt 0 1000 t compare
- 23 Melanesia 0 1000 t
- 23 Nepal 0 1000 t
- 23 Caribbean 0 1000 t
- 23 Laos 0 1000 t
- 23 Vietnam 0 1000 t
- 23 United Kingdom 0 1000 t
- 23 Syria 0 1000 t compare
- 23 Cote d'Ivoire 0 1000 t compare
- 23 Russia 0 1000 t
More agriculture & rural data for Middle Africa
- Cereals, primary — Gross Production Value (constant 2014-2016) 3.73 % change on previous year (2024)
- Meat of sheep, fresh or chilled — Producing Animals/Slaughtered -6.26 % change on previous year (2024)
- Onions and shallots, dry (excluding dehydrated) — Area harvested 5.49 % change on previous year (2024)
- Onions and shallots, dry (excluding dehydrated) — Yield, annual -3.46 % change on previous year (2024)
- Onions and shallots, dry (excluding dehydrated) — Production, annual 1.84 % change on previous year (2024)
- Crops — Gross Production Value (constant 2014-2016 thousand I$) 2.78 % change on previous year (2024)
- Other fruits, n.e.c. — Yield, annual growth rate 0.167 % change on previous year (2024)
- Other vegetables, fresh n.e.c. — Area harvested, annual growth rate -0.3406 % change on previous year (2024)
- Other fruits, n.e.c. — Production, annual growth rate 0.2752 % change on previous year (2024)
- Meat of sheep, fresh or chilled — Production, annual growth rate 3.54 % change on previous year (2024)
Frequently asked questions
- What is cottonseed — stock variation in Middle Africa?
- Cottonseed — stock variation in Middle Africa was -14 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cottonseed — stock variation recorded in Middle Africa?
- The highest recorded value was 56 1000 t in 2016.
- What is the lowest cottonseed — stock variation recorded in Middle Africa?
- The lowest recorded value was -67 1000 t in 2022.
- How does Middle Africa rank for cottonseed — stock variation?
- Middle Africa ranks 23rd out of 30 groups with data for 2023.
- Is cottonseed — stock variation rising or falling in Middle Africa?
- Over the last ten years it is up 51.7%. The long-run trend across the full record is volatile.
- Where does this Middle Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cottonseed — 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.