Cotton lint — Domestic supply quantity in Congo
Congo: Cotton lint — Domestic supply quantity was 1 t in 2013. ◆ Volatile
Cotton lint — Domestic supply quantity in Congo, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
In 2013, cotton lint — domestic supply quantity in Congo stood at 1 t.
That represents a change of down 98.6% over ten years.
Over the whole period, cotton lint — domestic supply quantity in Congo peaked at 102 t in 2004 and was at its lowest, 0 t, in 1961.
That places Congo 137th out of 155 countries with data for 2013, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Cotton lint — Domestic supply quantity in Congo, year by year
| Year | t | Change |
|---|---|---|
| 1961 | 0 t | — |
| 1962 | 0 t | — |
| 1963 | 0 t | — |
| 1964 | 0 t | — |
| 1965 | 0 t | — |
| 1966 | 0 t | — |
| 1967 | 0 t | — |
| 1968 | 0 t | — |
| 1969 | 0 t | — |
| 1970 | 0 t | — |
| 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 | 13 t | — |
| 1980 | 3 t | -76.9% |
| 1981 | 1 t | -66.7% |
| 1982 | 10 t | +900.0% |
| 1983 | 5 t | -50.0% |
| 1984 | 4 t | -20.0% |
| 1985 | 4 t | +0.0% |
| 1986 | 2 t | -50.0% |
| 1987 | 4 t | +100.0% |
| 1988 | 6 t | +50.0% |
| 1989 | 2 t | -66.7% |
| 1990 | 15 t | +650.0% |
| 1991 | 1 t | -93.3% |
| 1992 | 3 t | +200.0% |
| 1993 | 1 t | -66.7% |
| 1994 | 0 t | -100.0% |
| 1995 | 2 t | — |
| 1996 | 0 t | -100.0% |
| 1997 | 0 t | — |
| 1998 | 0 t | — |
| 1999 | 0 t | — |
| 2000 | 0 t | — |
| 2001 | 0 t | — |
| 2002 | 7 t | — |
| 2003 | 73 t | +942.9% |
| 2004 | 102 t | +39.7% |
| 2005 | 4 t | -96.1% |
| 2006 | 2 t | -50.0% |
| 2007 | 30 t | +1400.0% |
| 2008 | 1 t | -96.7% |
| 2009 | 2 t | +100.0% |
| 2010 | 2 t | +0.0% |
| 2011 | 2 t | +0.0% |
| 2012 | 0 t | -100.0% |
| 2013 | 1 t | — |
Congo compared with similar countries
- Congo's 1 t is below the median for lower middle income countries, which is 2,462 t, 0% of the median. (32 countries reporting)
- Congo's 1 t is below the median for Sub-Saharan Africa, which is 2,462 t, 0% of the median. (32 countries reporting)
Biggest year-on-year movements
Years where Cotton lint — Domestic supply quantity in Congo 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 |
|---|---|---|---|
| 2007 | +1400.0% | 2 t | 30 t |
| 2003 | +942.9% | 7 t | 73 t |
| 1982 | +900.0% | 1 t | 10 t |
| 1990 | +650.0% | 2 t | 15 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0 t | 0 t | 0 t | 9 |
| 1970s | 1.3 t | 0 t | 13 t | 10 |
| 1980s | 4.1 t | 1 t | 10 t | 10 |
| 1990s | 2.2 t | 0 t | 15 t | 10 |
| 2000s | 22.1 t | 0 t | 102 t | 10 |
| 2010s | 1.25 t | 0 t | 2 t | 4 |
Countries ranked near Congo
- 134 Luxembourg 2 t compare
- 134 Rwanda 2 t compare
- 134 Saint Kitts and Nevis 2 t compare
- 137 Brunei Darussalam 1 t compare
- 137 Jamaica 1 t compare
- 140 China, Macao SAR 0 t compare
- 140 Cyprus 0 t compare
- 140 Gabon 0 t compare
- 140 Georgia 0 t compare
- 140 Malta 0 t compare
- 140 New Zealand 0 t compare
- 140 Panama 0 t compare
- 140 Saint Lucia 0 t compare
- 140 Saint Vincent and the Grenadines 0 t compare
- 140 Samoa 0 t compare
- 140 Senegal 0 t compare
- 140 Suriname 0 t compare
More agriculture & rural data for Congo
- Agriculture, forestry, and fishing, value added (current US$), annual 11.08 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1011 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 254.21 current US$ per person (2025)
- Rural population, annual growth rate 1.72 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.3588 units per person (2025)
- Share of GDP from agriculture 10.1% (2025)
- Agriculture as a share of GDP vs. GDP per capita 10.1% (2025)
- Agricultural raw materials exports 2.4% (2023)
- Agricultural raw materials imports 1.0% (2023)
Frequently asked questions
- What is cotton lint — domestic supply quantity in Congo?
- Cotton lint — domestic supply quantity in Congo was 1 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest cotton lint — domestic supply quantity recorded in Congo?
- The highest recorded value was 102 t in 2004.
- What is the lowest cotton lint — domestic supply quantity recorded in Congo?
- The lowest recorded value was 0 t in 1961.
- How does Congo rank for cotton lint — domestic supply quantity?
- Congo ranks 137th out of 155 countries with data for 2013.
- Is cotton lint — domestic supply quantity rising or falling in Congo?
- Over the last ten years it is down 98.6%. The long-run trend across the full record is volatile.
- Where does this Congo data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cotton lint — Domestic supply quantity. 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.