Seed cotton, unginned — Gross Production Value in Bangladesh
Bangladesh: Seed cotton, unginned — Gross Production Value was 56,756 1000 Int$ in 2024. ◆ Volatile
Seed cotton, unginned — Gross Production Value in Bangladesh, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
In 2024, seed cotton, unginned — gross production value in Bangladesh stood at 56,756 1000 Int$.
Compared with earlier readings it is up 1.6% on the previous year and up 9.4% over ten years.
Over the whole period, seed cotton, unginned — gross production value in Bangladesh peaked at 117,116 1000 Int$ in 2018 and was at its lowest, 1,895 1000 Int$, in 1976.
Bangladesh ranks 31st of 94 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Seed cotton, unginned — Gross Production Value in Bangladesh, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 8,238 1000 Int$ | — |
| 1962 | 8,238 1000 Int$ | +0.0% |
| 1963 | 8,238 1000 Int$ | +0.0% |
| 1964 | 8,238 1000 Int$ | +0.0% |
| 1965 | 8,238 1000 Int$ | +0.0% |
| 1966 | 7,297 1000 Int$ | -11.4% |
| 1967 | 7,297 1000 Int$ | +0.0% |
| 1968 | 6,216 1000 Int$ | -14.8% |
| 1969 | 7,297 1000 Int$ | +17.4% |
| 1970 | 3,243 1000 Int$ | -55.6% |
| 1971 | 4,595 1000 Int$ | +41.7% |
| 1972 | 3,784 1000 Int$ | -17.6% |
| 1973 | 3,046 1000 Int$ | -19.5% |
| 1974 | 2,949 1000 Int$ | -3.2% |
| 1975 | 2,208 1000 Int$ | -25.1% |
| 1976 | 1,895 1000 Int$ | -14.2% |
| 1977 | 2,368 1000 Int$ | +25.0% |
| 1978 | 3,192 1000 Int$ | +34.8% |
| 1979 | 2,976 1000 Int$ | -6.8% |
| 1980 | 4,698 1000 Int$ | +57.9% |
| 1981 | 26,448 1000 Int$ | +463.0% |
| 1982 | 27,727 1000 Int$ | +4.8% |
| 1983 | 22,012 1000 Int$ | -20.6% |
| 1984 | 16,136 1000 Int$ | -26.7% |
| 1985 | 13,877 1000 Int$ | -14.0% |
| 1986 | 10,458 1000 Int$ | -24.6% |
| 1987 | 17,987 1000 Int$ | +72.0% |
| 1988 | 32,146 1000 Int$ | +78.7% |
| 1989 | 36,865 1000 Int$ | +14.7% |
| 1990 | 42,387 1000 Int$ | +15.0% |
| 1991 | 37,153 1000 Int$ | -12.3% |
| 1992 | 42,110 1000 Int$ | +13.3% |
| 1993 | 68,650 1000 Int$ | +63.0% |
| 1994 | 33,563 1000 Int$ | -51.1% |
| 1995 | 36,455 1000 Int$ | +8.6% |
| 1996 | 36,479 1000 Int$ | +0.1% |
| 1997 | 37,027 1000 Int$ | +1.5% |
| 1998 | 35,135 1000 Int$ | -5.1% |
| 1999 | 37,838 1000 Int$ | +7.7% |
| 2000 | 36,486 1000 Int$ | -3.6% |
| 2001 | 40,540 1000 Int$ | +11.1% |
| 2002 | 38,714 1000 Int$ | -4.5% |
| 2003 | 40,409 1000 Int$ | +4.4% |
| 2004 | 41,220 1000 Int$ | +2.0% |
| 2005 | 47,356 1000 Int$ | +14.9% |
| 2006 | 48,356 1000 Int$ | +2.1% |
| 2007 | 40,677 1000 Int$ | -15.9% |
| 2008 | 32,406 1000 Int$ | -20.3% |
| 2009 | 41,472 1000 Int$ | +28.0% |
| 2010 | 39,066 1000 Int$ | -5.8% |
| 2011 | 32,432 1000 Int$ | -17.0% |
| 2012 | 46,702 1000 Int$ | +44.0% |
| 2013 | 49,729 1000 Int$ | +6.5% |
| 2014 | 51,892 1000 Int$ | +4.3% |
| 2015 | 51,459 1000 Int$ | -0.8% |
| 2016 | 54,054 1000 Int$ | +5.0% |
| 2017 | 107,207 1000 Int$ | +98.3% |
| 2018 | 117,116 1000 Int$ | +9.2% |
| 2019 | 76,576 1000 Int$ | -34.6% |
| 2020 | 76,576 1000 Int$ | +0.0% |
| 2021 | 63,063 1000 Int$ | -17.6% |
| 2022 | 58,558 1000 Int$ | -7.1% |
| 2023 | 55,855 1000 Int$ | -4.6% |
| 2024 | 56,756 1000 Int$ | +1.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 7,700 1000 Int$ | 6,216 1000 Int$ | 8,238 1000 Int$ | 9 |
| 1970s | 3,026 1000 Int$ | 1,895 1000 Int$ | 4,595 1000 Int$ | 10 |
| 1980s | 20,835 1000 Int$ | 4,698 1000 Int$ | 36,865 1000 Int$ | 10 |
| 1990s | 40,680 1000 Int$ | 33,563 1000 Int$ | 68,650 1000 Int$ | 10 |
| 2000s | 40,764 1000 Int$ | 32,406 1000 Int$ | 48,356 1000 Int$ | 10 |
| 2010s | 62,623 1000 Int$ | 32,432 1000 Int$ | 117,116 1000 Int$ | 10 |
| 2020s | 62,162 1000 Int$ | 55,855 1000 Int$ | 76,576 1000 Int$ | 5 |
Countries ranked near Bangladesh
- 28 Uganda 134,511 1000 Int$ compare
- 29 Afghanistan 108,565 1000 Int$ compare
- 30 Chad 72,072 1000 Int$ compare
- 32 Mozambique 53,559 1000 Int$ compare
- 33 Togo 46,340 1000 Int$ compare
- 34 Central African Republic 46,051 1000 Int$ compare
More agriculture & rural data for Bangladesh
- Agriculture, forestry, and fishing, value added (current US$), annual 3.73 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1142 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 296.72 current US$ per person (2025)
- Rural population, annual growth rate 0.38 % change on previous year (2025)
- Rural population, per unit of GDP 0.0003 units per US$ of GDP (2025)
- Rural population, per capita 0.6676 units per person (2025)
- Share of GDP from agriculture 11.4% (2025)
- Agriculture as a share of GDP vs. GDP per capita 11.4% (2025)
- Agricultural raw materials exports 0.8% (2018)
- Agricultural raw materials imports 6.0% (2018)
Frequently asked questions
- What is seed cotton, unginned — gross production value in Bangladesh?
- Seed cotton, unginned — gross production value in Bangladesh was 56,756 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest seed cotton, unginned — gross production value recorded in Bangladesh?
- The highest recorded value was 117,116 1000 Int$ in 2018.
- What is the lowest seed cotton, unginned — gross production value recorded in Bangladesh?
- The lowest recorded value was 1,895 1000 Int$ in 1976.
- How does Bangladesh rank for seed cotton, unginned — gross production value?
- Bangladesh ranks 31st out of 94 countries with data for 2024.
- Is seed cotton, unginned — gross production value rising or falling in Bangladesh?
- Over the last ten years it is up 9.4%. The long-run trend across the full record is volatile.
- Where does this Bangladesh data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Seed cotton, unginned — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
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About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.