Cotton lint, ginned — Stock Variation in Belarus
Belarus: Cotton lint, ginned — Stock Variation was 0 t in 2023. ◆ Volatile
Latest (2023)
0 t
Change on year
up 100.0%
World rank
19th
of 153 countries
All-time high
436 t
in 2013
All-time low
-1,306 t
in 2014
Years of data
14
2010–2023
Cotton lint, ginned — Stock Variation in Belarus, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
The most recent figure for cotton lint, ginned — stock variation in Belarus is 0 t, measured in 2023.
That represents a change of up 100.0% on the previous year and down 100.0% over ten years.
Over the whole period, cotton lint, ginned — stock variation in Belarus peaked at 436 t in 2013 and was at its lowest, -1,306 t, in 2014.
That places Belarus 19th out of 153 countries 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.
Cotton lint, ginned — Stock Variation in Belarus, year by year
| Year | t | Change |
|---|---|---|
| 2010 | 435.45 t | — |
| 2011 | 0 t | -100.0% |
| 2012 | 435.45 t | — |
| 2013 | 436 t | +0.1% |
| 2014 | -1,306 t | -399.6% |
| 2015 | -435.45 t | -66.7% |
| 2016 | -435.45 t | -0.0% |
| 2017 | -435.45 t | -0.0% |
| 2018 | 0 t | -100.0% |
| 2019 | 0 t | — |
| 2020 | -217 t | — |
| 2021 | 0 t | -100.0% |
| 2022 | -436 t | — |
| 2023 | 0 t | -100.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -130.58 t | -1,306 t | 436 t | 10 |
| 2020s | -163.25 t | -436 t | 0 t | 4 |
Countries ranked near Belarus
- 16 Cabo Verde 0 t compare
- 16 Costa Rica 653 t compare
- 17 Estonia 217.72 t compare
- 17 Viet Nam -2,613 t compare
- 18 Jamaica 0.56 t compare
- 18 Syrian Arab Republic -25,038 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 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 Türkiye -265,406 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 Belarus
- Agriculture, forestry, and fishing, value added (current US$), annual 16.45 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.069 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 709.2 current US$ per person (2025)
- Rural population, annual growth rate -2.13 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2051 units per person (2025)
- Share of GDP from agriculture 6.9% (2025)
- Agriculture as a share of GDP vs. GDP per capita 6.9% (2025)
- Agricultural raw materials exports 3.6% (2021)
- Agricultural raw materials imports 1.3% (2021)
Frequently asked questions
- What is cotton lint, ginned — stock variation in Belarus?
- Cotton lint, ginned — stock variation in Belarus was 0 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cotton lint, ginned — stock variation recorded in Belarus?
- The highest recorded value was 436 t in 2013.
- What is the lowest cotton lint, ginned — stock variation recorded in Belarus?
- The lowest recorded value was -1,306 t in 2014.
- How does Belarus rank for cotton lint, ginned — stock variation?
- Belarus ranks 19th out of 153 countries with data for 2023.
- Is cotton lint, ginned — stock variation rising or falling in Belarus?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Belarus 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.