Cotton lint, ginned — Stock Variation in Eastern Africa
Eastern Africa: Cotton lint, ginned — Stock Variation was -9,367 t in 2023. ◆ Volatile
Latest (2023)
-9,367 t
Change on year
up 13.9%
Rank
21st
of 29 groups
All-time high
23,585 t
in 2017
All-time low
-63,782 t
in 2012
Years of data
14
2010–2023
Cotton lint, ginned — Stock Variation in Eastern Africa, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
In 2023, cotton lint, ginned — stock variation in Eastern Africa stood at -9,367 t.
That represents a change of up 13.9% on the previous year and up 72.7% over ten years.
Over the whole period, cotton lint, ginned — stock variation in Eastern Africa peaked at 23,585 t in 2017 and was at its lowest, -63,782 t, in 2012.
That places Eastern Africa 21st out of 29 groups with data for 2023, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Cotton lint, ginned — Stock Variation in Eastern Africa, year by year
| Year | t | Change |
|---|---|---|
| 2010 | 13,000 t | — |
| 2011 | 16,742 t | +28.8% |
| 2012 | -63,782 t | -481.0% |
| 2013 | -34,371 t | -46.1% |
| 2014 | 4,366 t | -112.7% |
| 2015 | -28,630 t | -755.7% |
| 2016 | 9,765 t | -134.1% |
| 2017 | 23,585 t | +141.5% |
| 2018 | 9,216 t | -60.9% |
| 2019 | 15,862 t | +72.1% |
| 2020 | 9,516 t | -40.0% |
| 2021 | -1,883 t | -119.8% |
| 2022 | -10,880 t | +477.8% |
| 2023 | -9,367 t | -13.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -3,425 t | -63,782 t | 23,585 t | 10 |
| 2020s | -3,153 t | -10,880 t | 9,516 t | 4 |
Countries ranked near Eastern Africa
- 18 Jamaica 0.56 t compare
- 19 Albania 0 t
- 19 Algeria 0 t
- 19 Angola 0 t
- 19 Antigua and Barbuda 0 t
- 19 Argentina 0 t
- 19 Armenia 0 t compare
- 19 Bahamas 0 t compare
- 19 Bangladesh 0 t
- 19 Barbados 0 t compare
- 19 Belarus 0 t compare
- 19 Belgium 0 t compare
- 19 Belize 0 t
- 19 Bosnia and Herzegovina 0 t
- 19 Botswana 0 t
- 19 Brazil 0 t
- 19 Bulgaria 0 t compare
- 19 Cambodia 0 t
- 19 Canada 0 t
- 19 Chile 0 t
- 19 Colombia 0 t compare
- 19 Congo 0 t
- 19 Croatia 0 t
- 19 Cuba 0 t
- 19 Cyprus 0 t
- 19 Czechia 0 t compare
- 19 Denmark 0 t
- 19 Djibouti 0 t
- 19 Dominican Republic 0 t
- 19 Ecuador 0 t
- 19 Egypt 0 t
- 19 Eswatini 0 t compare
- 19 Ethiopia 0 t
- 19 France 0 t compare
- 19 French Polynesia 0 t
- 19 Gabon 0 t
- 19 Gambia 0 t compare
- 19 Georgia 0 t
- 19 Germany 0 t
- 19 Ghana 0 t
- 19 Grenada 0 t
- 19 Guinea 0 t
- 19 Guinea-Bissau 0 t compare
- 19 Guyana 0 t
- 19 Haiti 0 t compare
- 19 Hungary 0 t compare
- 19 Iceland 0 t compare
- 19 Indonesia 0 t compare
- 19 Iraq 0 t compare
- 19 Ireland 0 t
- 19 Israel 0 t compare
- 19 Jordan 0 t
- 19 Kenya 0 t compare
- 19 Kiribati 0 t
- 19 Kuwait 0 t
- 19 Lebanon 0 t
- 19 Libya 0 t
- 19 Lithuania 0 t compare
- 19 Luxembourg 0 t
- 19 Malawi 0 t compare
- 19 Malta 0 t
- 19 Mongolia 0 t compare
- 19 Montenegro 0 t compare
- 19 Morocco 0 t
- 19 Myanmar 0 t
- 19 Namibia 0 t compare
- 19 Nepal 0 t
- 19 New Caledonia 0 t
- 19 New Zealand 0 t compare
- 19 Niger 0 t
- 19 Nigeria 0 t compare
- 19 North Macedonia 0 t compare
- 19 Norway 0 t
- 19 Oman 0 t compare
- 19 Panama 0 t
- 19 Papua New Guinea 0 t compare
- 19 Poland 0 t compare
- 19 Qatar 0 t compare
- 19 Romania 0 t compare
- 19 Russian Federation 0 t compare
- 19 Rwanda 0 t
- 19 Saint Kitts and Nevis 0 t compare
- 19 Saint Lucia 0 t compare
- 19 Saint Vincent and the Grenadines 0 t compare
- 19 Samoa 0 t compare
- 19 Sao Tome and Principe 0 t compare
- 19 Saudi Arabia 0 t
- 19 Senegal 0 t compare
- 19 Serbia 0 t
- 19 Seychelles 0 t
- 19 Solomon Islands 0 t
- 19 Sri Lanka 0 t
- 19 Suriname 0 t compare
- 19 Sweden 0 t compare
- 19 Switzerland 0 t
- 19 Trinidad and Tobago 0 t compare
- 19 Turkmenistan 0 t compare
- 19 Uganda 0 t
- 19 Ukraine 0 t
- 19 United Arab Emirates 0 t compare
- 19 United Kingdom of Great Britain and Northern Ireland 0 t compare
- 19 Uruguay 0 t compare
- 19 Vanuatu 0 t
- 19 Yemen 0 t compare
- 19 Zimbabwe 0 t compare
More agriculture & rural data for Eastern Africa
- Tomatoes — Area harvested, annual growth rate -0.1813 % change on previous year (2024)
- Tomatoes — Yield, annual growth rate -0.2281 % change on previous year (2024)
- Tomatoes — Production, annual growth rate -0.4094 % change on previous year (2024)
- Oranges — Area harvested 87,521 ha (2024)
- Raw hides and skins of goats or kids — Yield/Carcass Weight 3 kg/An (2024)
- Raw hides and skins of goats or kids — Production 135,663 t (2024)
- Raw hides and skins of goats or kids — Producing Animals/Slaughtered 50.84 million An (2024)
- Raw hides and skins of sheep or lambs — Yield/Carcass Weight 3 kg/An (2024)
- Raw hides and skins of sheep or lambs — Production 69,790 t (2024)
- Oranges — Production 1.05 million t (2024)
Frequently asked questions
- What is cotton lint, ginned — stock variation in Eastern Africa?
- Cotton lint, ginned — stock variation in Eastern Africa was -9,367 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cotton lint, ginned — stock variation recorded in Eastern Africa?
- The highest recorded value was 23,585 t in 2017.
- What is the lowest cotton lint, ginned — stock variation recorded in Eastern Africa?
- The lowest recorded value was -63,782 t in 2012.
- How does Eastern Africa rank for cotton lint, ginned — stock variation?
- Eastern Africa ranks 21st out of 29 groups with data for 2023.
- Is cotton lint, ginned — stock variation rising or falling in Eastern Africa?
- Over the last ten years it is up 72.7%. The long-run trend across the full record is volatile.
- Where does this Eastern Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cotton lint, ginned — 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
Commodity balances (CB) present a comprehensive picture of the pattern of a country's non-food supply during a specified reference period.