Cotton lint — Stock Variation in Botswana
Botswana: Cotton lint — Stock Variation was 0 t in 2013. ▬ Flat
Cotton lint — Stock Variation in Botswana, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
In 2013, cotton lint — stock variation in Botswana stood at 0 t.
Over the whole period, cotton lint — stock variation in Botswana peaked at 2,000 t in 1969 and was at its lowest, -1,600 t, in 1964.
That places Botswana 15th out of 66 countries with data for 2013, putting it in the top quarter.
Cotton lint — Stock Variation in Botswana, year by year
| Year | t | Change |
|---|---|---|
| 1961 | -550 t | — |
| 1962 | 50 t | -109.1% |
| 1963 | -600 t | -1300.0% |
| 1964 | -1,600 t | +166.7% |
| 1965 | -300 t | -81.2% |
| 1966 | -500 t | +66.7% |
| 1967 | 0 t | -100.0% |
| 1968 | 1,500 t | — |
| 1969 | 2,000 t | +33.3% |
| 1970 | 0 t | -100.0% |
| 1971 | 0 t | — |
| 1972 | 0 t | — |
| 1973 | 0 t | — |
| 1974 | 0 t | — |
| 1975 | 0 t | — |
| 1976 | 0 t | — |
| 1977 | 0 t | — |
| 1978 | 0 t | — |
| 1979 | 0 t | — |
| 1980 | 0 t | — |
| 1981 | 0 t | — |
| 1982 | 0 t | — |
| 1983 | 0 t | — |
| 1984 | 0 t | — |
| 1985 | 0 t | — |
| 1986 | 0 t | — |
| 1987 | 0 t | — |
| 1988 | 0 t | — |
| 1989 | 0 t | — |
| 1990 | 0 t | — |
| 1991 | 0 t | — |
| 1992 | 0 t | — |
| 1993 | 0 t | — |
| 1994 | 0 t | — |
| 1995 | 0 t | — |
| 1996 | 0 t | — |
| 1997 | 0 t | — |
| 1998 | 0 t | — |
| 1999 | 0 t | — |
| 2000 | 0 t | — |
| 2001 | 0 t | — |
| 2002 | 0 t | — |
| 2003 | 0 t | — |
| 2004 | 0 t | — |
| 2005 | 0 t | — |
| 2006 | 0 t | — |
| 2007 | 0 t | — |
| 2008 | 0 t | — |
| 2009 | 0 t | — |
| 2010 | 0 t | — |
| 2011 | 0 t | — |
| 2012 | 0 t | — |
| 2013 | 0 t | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0 t | -1,600 t | 2,000 t | 9 |
| 1970s | 0 t | 0 t | 0 t | 10 |
| 1980s | 0 t | 0 t | 0 t | 10 |
| 1990s | 0 t | 0 t | 0 t | 10 |
| 2000s | 0 t | 0 t | 0 t | 10 |
| 2010s | 0 t | 0 t | 0 t | 4 |
Countries ranked near Botswana
- 12 Togo 3,400 t compare
- 13 Cambodia 30 t compare
- 13 Latvia 30 t compare
- 15 Angola 0 t compare
- 15 Argentina 0 t compare
- 15 Azerbaijan 0 t compare
- 15 Belgium 0 t compare
- 15 Bosnia and Herzegovina 0 t compare
- 15 Burkina Faso 0 t compare
- 15 Central African Republic 0 t compare
- 15 Chad 0 t compare
- 15 Costa Rica 0 t compare
- 15 Denmark 0 t compare
- 15 El Salvador 0 t compare
- 15 Estonia 0 t compare
- 15 Eswatini 0 t compare
- 15 Finland 0 t compare
- 15 Gambia 0 t compare
- 15 Georgia 0 t compare
- 15 Ghana 0 t compare
- 15 Greece 0 t compare
- 15 Guatemala 0 t compare
- 15 Guinea-Bissau 0 t compare
- 15 Honduras 0 t compare
- 15 Jamaica 0 t compare
- 15 Kazakhstan 0 t compare
- 15 Kenya 0 t compare
- 15 Lebanon 0 t compare
- 15 Lithuania 0 t compare
- 15 Madagascar 0 t compare
- 15 Malawi 0 t compare
- 15 Mozambique 0 t compare
- 15 Myanmar 0 t compare
- 15 Namibia 0 t compare
- 15 Netherlands (Kingdom of the) 0 t compare
- 15 New Zealand 0 t compare
- 15 Nicaragua 0 t compare
- 15 Niger 0 t compare
- 15 Nigeria 0 t compare
- 15 Peru 0 t compare
- 15 Russian Federation 0 t compare
- 15 Saint Kitts and Nevis 0 t compare
- 15 Spain 0 t compare
- 15 Sudan (former) 0 t compare
- 15 Tajikistan 0 t compare
- 15 Turkmenistan 0 t compare
- 15 Uganda 0 t compare
- 15 Ukraine 0 t compare
- 15 United Arab Emirates 0 t compare
- 15 United Kingdom of Great Britain and Northern Ireland 0 t compare
- 15 Uruguay 0 t compare
- 15 Yemen 0 t compare
- 15 Zimbabwe 0 t compare
- 16 Caribbean 0 t compare
More agriculture & rural data for Botswana
- Agriculture, forestry, and fishing, value added (current US$), annual 4.45 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0178 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 138.54 current US$ per person (2025)
- Rural population, annual growth rate 0.0839 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3204 units per person (2025)
- Share of GDP from agriculture 1.8% (2025)
- Agriculture as a share of GDP vs. GDP per capita 1.8% (2025)
- Agricultural raw materials exports 0.0% (2023)
- Agricultural raw materials imports 0.8% (2023)
Frequently asked questions
- What is cotton lint — stock variation in Botswana?
- Cotton lint — stock variation in Botswana was 0 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest cotton lint — stock variation recorded in Botswana?
- The highest recorded value was 2,000 t in 1969.
- What is the lowest cotton lint — stock variation recorded in Botswana?
- The lowest recorded value was -1,600 t in 1964.
- How does Botswana rank for cotton lint — stock variation?
- Botswana ranks 15th out of 66 countries with data for 2013.
- Where does this Botswana data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cotton lint — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 53 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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 caput 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.