Agriculture — Gross Production Value (constant 2014-2016 thousand I$) in Bangladesh
Bangladesh: Agriculture — Gross Production Value (constant 2014-2016 thousand I$) was 50.70 million 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
50.70 million 1000 Int$
Change on year
up 2.8%
World rank
17th
of 196 countries
All-time high
50.70 million 1000 Int$
in 2024
All-time low
9.07 million 1000 Int$
in 1962
Years of data
64
1961–2024
Agriculture — Gross Production Value in Bangladesh, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for agriculture — gross production value in Bangladesh is 50.70 million 1000 Int$, measured in 2024. That is the highest value across all 64 years on record.
Compared with earlier readings it is up 2.8% on the previous year and up 39.6% over ten years.
Over the whole period, agriculture — gross production value in Bangladesh peaked at 50.70 million 1000 Int$ in 2024 and was at its lowest, 9.07 million 1000 Int$, in 1962.
That places Bangladesh 17th out of 196 countries with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Agriculture — Gross Production Value (constant 2014-2016 thousand I$) in Bangladesh, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 9.50 million 1000 Int$ | — |
| 1962 | 9.07 million 1000 Int$ | -4.5% |
| 1963 | 10.14 million 1000 Int$ | +11.8% |
| 1964 | 10.16 million 1000 Int$ | +0.2% |
| 1965 | 10.38 million 1000 Int$ | +2.2% |
| 1966 | 9.96 million 1000 Int$ | -4.1% |
| 1967 | 11.21 million 1000 Int$ | +12.6% |
| 1968 | 11.35 million 1000 Int$ | +1.2% |
| 1969 | 11.94 million 1000 Int$ | +5.2% |
| 1970 | 11.37 million 1000 Int$ | -4.8% |
| 1971 | 10.41 million 1000 Int$ | -8.5% |
| 1972 | 10.45 million 1000 Int$ | +0.4% |
| 1973 | 11.42 million 1000 Int$ | +9.3% |
| 1974 | 10.94 million 1000 Int$ | -4.1% |
| 1975 | 12.02 million 1000 Int$ | +9.9% |
| 1976 | 11.61 million 1000 Int$ | -3.4% |
| 1977 | 12.43 million 1000 Int$ | +7.0% |
| 1978 | 12.91 million 1000 Int$ | +3.9% |
| 1979 | 12.77 million 1000 Int$ | -1.1% |
| 1980 | 12.87 million 1000 Int$ | +0.8% |
| 1981 | 12.80 million 1000 Int$ | -0.6% |
| 1982 | 13.27 million 1000 Int$ | +3.7% |
| 1983 | 13.61 million 1000 Int$ | +2.5% |
| 1984 | 13.69 million 1000 Int$ | +0.6% |
| 1985 | 14.39 million 1000 Int$ | +5.1% |
| 1986 | 14.59 million 1000 Int$ | +1.4% |
| 1987 | 14.44 million 1000 Int$ | -1.0% |
| 1988 | 14.53 million 1000 Int$ | +0.6% |
| 1989 | 15.82 million 1000 Int$ | +8.9% |
| 1990 | 15.98 million 1000 Int$ | +1.0% |
| 1991 | 16.10 million 1000 Int$ | +0.7% |
| 1992 | 16.67 million 1000 Int$ | +3.6% |
| 1993 | 16.38 million 1000 Int$ | -1.8% |
| 1994 | 16.19 million 1000 Int$ | -1.2% |
| 1995 | 16.20 million 1000 Int$ | +0.1% |
| 1996 | 17.45 million 1000 Int$ | +7.7% |
| 1997 | 17.60 million 1000 Int$ | +0.8% |
| 1998 | 17.17 million 1000 Int$ | -2.4% |
| 1999 | 20.68 million 1000 Int$ | +20.4% |
| 2000 | 21.67 million 1000 Int$ | +4.8% |
| 2001 | 21.99 million 1000 Int$ | +1.5% |
| 2002 | 22.23 million 1000 Int$ | +1.1% |
| 2003 | 22.99 million 1000 Int$ | +3.4% |
| 2004 | 22.54 million 1000 Int$ | -2.0% |
| 2005 | 25.20 million 1000 Int$ | +11.8% |
| 2006 | 25.59 million 1000 Int$ | +1.5% |
| 2007 | 26.02 million 1000 Int$ | +1.7% |
| 2008 | 29.62 million 1000 Int$ | +13.8% |
| 2009 | 29.35 million 1000 Int$ | -0.9% |
| 2010 | 31.10 million 1000 Int$ | +6.0% |
| 2011 | 32.96 million 1000 Int$ | +6.0% |
| 2012 | 33.62 million 1000 Int$ | +2.0% |
| 2013 | 34.84 million 1000 Int$ | +3.6% |
| 2014 | 36.32 million 1000 Int$ | +4.3% |
| 2015 | 37.61 million 1000 Int$ | +3.6% |
| 2016 | 38.33 million 1000 Int$ | +1.9% |
| 2017 | 40.48 million 1000 Int$ | +5.6% |
| 2018 | 41.38 million 1000 Int$ | +2.2% |
| 2019 | 42.38 million 1000 Int$ | +2.4% |
| 2020 | 43.80 million 1000 Int$ | +3.4% |
| 2021 | 46.12 million 1000 Int$ | +5.3% |
| 2022 | 47.56 million 1000 Int$ | +3.1% |
| 2023 | 49.34 million 1000 Int$ | +3.8% |
| 2024 | 50.70 million 1000 Int$ | +2.8% |
Bangladesh compared with similar countries
- Bangladesh's 50.70 million 1000 Int$ is above the median for lower middle income countries, which is 4.00 million 1000 Int$, 12.7× the median. (41 countries reporting)
- Bangladesh's 50.70 million 1000 Int$ is above the median for South Asia, which is 9.39 million 1000 Int$, 5.4× the median. (6 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 10.41 million 1000 Int$ | 9.07 million 1000 Int$ | 11.94 million 1000 Int$ | 9 |
| 1970s | 11.63 million 1000 Int$ | 10.41 million 1000 Int$ | 12.91 million 1000 Int$ | 10 |
| 1980s | 14.00 million 1000 Int$ | 12.80 million 1000 Int$ | 15.82 million 1000 Int$ | 10 |
| 1990s | 17.04 million 1000 Int$ | 15.98 million 1000 Int$ | 20.68 million 1000 Int$ | 10 |
| 2000s | 24.72 million 1000 Int$ | 21.67 million 1000 Int$ | 29.62 million 1000 Int$ | 10 |
| 2010s | 36.90 million 1000 Int$ | 31.10 million 1000 Int$ | 42.38 million 1000 Int$ | 10 |
| 2020s | 47.50 million 1000 Int$ | 43.80 million 1000 Int$ | 50.70 million 1000 Int$ | 5 |
Countries ranked near Bangladesh
- 14 Democratic People's Republic of Korea 5.17 million 1000 Int$ compare
- 14 France 52.76 million 1000 Int$ compare
- 15 Australia 52.45 million 1000 Int$ compare
- 15 Melanesia 4.67 million 1000 Int$ compare
- 16 Canada 51.62 million 1000 Int$ compare
- 16 Republic of Moldova 2.07 million 1000 Int$ compare
- 17 Timor-Leste 171,137 1000 Int$ compare
- 18 Germany 48.81 million 1000 Int$ compare
- 18 Polynesia 127,311 1000 Int$ compare
- 19 Thailand 46.39 million 1000 Int$ compare
- 19 Micronesia 71,226 1000 Int$ compare
- 20 Egypt 41.40 million 1000 Int$ compare
- 20 Micronesia (Federated States of) 23,468 1000 Int$ compare
More agriculture & rural data for Bangladesh
- Cropland extent over the long-term, annual growth rate 0.5052 % change on previous year (2025)
- Cropland extent over the long-term, per unit of GDP 0 hectares per US$ of GDP (2025)
- Cropland extent over the long-term, per capita 0.0512 hectares per person (2025)
- Agricultural area over the long-term, annual growth rate 0.4735 % change on previous year (2025)
- Agricultural area over the long-term, per unit of GDP 0 hectares per US$ of GDP (2025)
- Agricultural area over the long-term, per capita 0.0546 hectares per person (2025)
- 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)
Frequently asked questions
- What is agriculture — gross production value in Bangladesh?
- Agriculture — gross production value in Bangladesh was 50.70 million 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest agriculture — gross production value recorded in Bangladesh?
- The highest recorded value was 50.70 million 1000 Int$ in 2024.
- What is the lowest agriculture — gross production value recorded in Bangladesh?
- The lowest recorded value was 9.07 million 1000 Int$ in 1962.
- How does Bangladesh rank for agriculture — gross production value?
- Bangladesh ranks 17th out of 196 countries with data for 2024.
- Is agriculture — gross production value rising or falling in Bangladesh?
- Over the last ten years it is up 39.6%. 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 Agriculture — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 64 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.