Cottonseed — Stock Variation in Northern Africa
Northern Africa: Cottonseed — Stock Variation was -3 1000 t in 2023. ◆ Volatile
Cottonseed — Stock Variation in Northern Africa, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, cottonseed — stock variation in Northern Africa stood at -3 1000 t.
The figure is down 200.0% on the previous year and up 76.9% over ten years.
Over the whole period, cottonseed — stock variation in Northern Africa peaked at 11 1000 t in 2011 and was at its lowest, -13 1000 t, in 2013.
Northern Africa ranks 21st of 28 groups on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Cottonseed — Stock Variation in Northern Africa, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -3 1000 t | — |
| 2011 | 11 1000 t | -466.7% |
| 2012 | 11 1000 t | +0.0% |
| 2013 | -13 1000 t | -218.2% |
| 2014 | -3 1000 t | -76.9% |
| 2015 | -2 1000 t | -33.3% |
| 2016 | -3 1000 t | +50.0% |
| 2017 | -10 1000 t | +233.3% |
| 2018 | -4 1000 t | -60.0% |
| 2019 | 0 1000 t | -100.0% |
| 2020 | 7 1000 t | — |
| 2021 | -2 1000 t | -128.6% |
| 2022 | -1 1000 t | -50.0% |
| 2023 | -3 1000 t | +200.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -1.6 1000 t | -13 1000 t | 11 1000 t | 10 |
| 2020s | 0.25 1000 t | -3 1000 t | 7 1000 t | 4 |
Countries ranked near Northern Africa
- 18 Afghanistan 1 1000 t compare
- 19 Qatar 0 1000 t compare
- 19 Bhutan 0 1000 t
- 19 Cuba 0 1000 t
- 19 Guinea-Bissau 0 1000 t
- 19 Saint Kitts and Nevis 0 1000 t
- 19 Vanuatu 0 1000 t
- 19 Mauritania 0 1000 t
- 19 Albania 0 1000 t
- 19 Kuwait 0 1000 t
- 19 Grenada 0 1000 t
- 19 Montenegro 0 1000 t
- 19 Bahamas 0 1000 t
- 19 Jordan 0 1000 t
- 19 Iceland 0 1000 t
- 19 Gambia 0 1000 t
- 19 Georgia 0 1000 t
- 19 Samoa 0 1000 t
- 19 Estonia 0 1000 t
- 19 Angola 0 1000 t
- 19 North Macedonia 0 1000 t
- 19 Maldives 0 1000 t
- 19 Iraq 0 1000 t
- 19 Barbados 0 1000 t
- 19 Finland 0 1000 t
- 19 Antigua and Barbuda 0 1000 t
- 19 Guinea 0 1000 t
- 19 Bosnia and Herzegovina 0 1000 t
- 19 China, Hong Kong SAR 0 1000 t
- 19 Paraguay 0 1000 t compare
- 19 Tunisia 0 1000 t compare
- 19 Oman 0 1000 t
- 19 Luxembourg 0 1000 t
- 19 Mauritius 0 1000 t
- 19 Eswatini 0 1000 t
- 19 Haiti 0 1000 t
- 19 Papua New Guinea 0 1000 t
- 19 Algeria 0 1000 t
- 19 Chile 0 1000 t compare
- 19 Latvia 0 1000 t
- 19 Croatia 0 1000 t
- 19 Lithuania 0 1000 t
- 19 Ireland 0 1000 t
- 19 Saudi Arabia 0 1000 t
- 19 Belgium 0 1000 t
- 19 Niger 0 1000 t
- 19 Malta 0 1000 t
- 19 United Kingdom of Great Britain and Northern Ireland 0 1000 t
- 19 Dominican Republic 0 1000 t
- 19 El Salvador 0 1000 t
- 19 Slovakia 0 1000 t
- 19 Uruguay 0 1000 t
- 19 Panama 0 1000 t
- 19 United Arab Emirates 0 1000 t compare
- 19 Fiji 0 1000 t
- 19 Yemen 0 1000 t
- 19 Norway 0 1000 t
- 19 Czechia 0 1000 t
- 19 Bulgaria 0 1000 t compare
- 19 Lebanon 0 1000 t
- 19 Nicaragua 0 1000 t compare
- 19 Poland 0 1000 t
- 19 Denmark 0 1000 t
- 19 Slovenia 0 1000 t
- 19 Romania 0 1000 t compare
- 19 Jamaica 0 1000 t
- 19 Namibia 0 1000 t compare
- 19 Portugal 0 1000 t
- 19 Canada 0 1000 t compare
- 19 Netherlands (Kingdom of the) 0 1000 t
- 19 Rwanda 0 1000 t
- 19 Switzerland 0 1000 t
- 19 Madagascar 0 1000 t
- 19 Hungary 0 1000 t
- 19 France 0 1000 t
- 19 Sweden 0 1000 t
- 19 Austria 0 1000 t
- 19 Italy 0 1000 t compare
- 19 Cambodia 0 1000 t
- 19 New Zealand 0 1000 t
- 19 Morocco 0 1000 t compare
- 19 Cyprus 0 1000 t
- 19 Botswana 0 1000 t
- 19 Ecuador 0 1000 t
- 19 China, Taiwan Province of 0 1000 t
- 19 Senegal 0 1000 t compare
- 19 Costa Rica 0 1000 t
- 19 Honduras 0 1000 t
- 19 Bangladesh 0 1000 t
- 19 Thailand 0 1000 t
- 19 Philippines 0 1000 t
- 19 Germany 0 1000 t
- 19 Peru 0 1000 t compare
- 19 South Africa 0 1000 t compare
- 19 Russian Federation 0 1000 t
- 19 Sri Lanka 0 1000 t
- 19 Uganda 0 1000 t compare
- 19 Guatemala 0 1000 t
- 19 Indonesia 0 1000 t compare
- 19 Egypt 0 1000 t compare
- 19 Nepal 0 1000 t
More agriculture & rural data for Northern Africa
- Meat of pig with the bone, fresh or chilled — Yield/Carcass Weight 0 % change on previous year (2024)
- Tomatoes — Production, annual growth rate 7.09 % change on previous year (2024)
- Tomatoes — Yield, annual growth rate 2.14 % change on previous year (2024)
- Tomatoes — Area harvested, annual growth rate 4.84 % change on previous year (2024)
- Swine / pigs — Stocks, annual growth rate 0.6785 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Producing -1.97 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Production, annual -1.81 % change on previous year (2024)
- Onions and shallots, dry (excluding dehydrated) — Production 8.19 million t (2024)
- Raw hides and skins of goats or kids — Yield/Carcass Weight 2 kg/An (2024)
- Raw hides and skins of goats or kids — Production 40,804 t (2024)
Frequently asked questions
- What is cottonseed — stock variation in Northern Africa?
- Cottonseed — stock variation in Northern Africa was -3 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cottonseed — stock variation recorded in Northern Africa?
- The highest recorded value was 11 1000 t in 2011.
- What is the lowest cottonseed — stock variation recorded in Northern Africa?
- The lowest recorded value was -13 1000 t in 2013.
- How does Northern Africa rank for cottonseed — stock variation?
- Northern Africa ranks 21st out of 28 groups with data for 2023.
- Is cottonseed — stock variation rising or falling in Northern Africa?
- Over the last ten years it is up 76.9%. The long-run trend across the full record is volatile.
- Where does this Northern 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.