Agricultural output, per unit of GDP in Bangladesh
Bangladesh: Agricultural output, per unit of GDP was 0.0736 constant 2014-2016 US$ per US$ of GDP in 2024. ◆ Volatile
Agricultural output, per unit of GDP in Bangladesh, 1961–2024
Source: Statizoid (derived). Measured in constant 2014-2016 US$ per US$ of GDP.
Analysis
The most recent figure for agricultural output, per unit of gdp in Bangladesh is 0.0736 constant 2014-2016 US$ per US$ of GDP, measured in 2024.
The figure is up 0.2% on the previous year and down 44.3% over ten years.
Over the whole period, agricultural output, per unit of gdp in Bangladesh peaked at 1.21 constant 2014-2016 US$ per US$ of GDP in 1961 and was at its lowest, 0.0676 constant 2014-2016 US$ per US$ of GDP, in 2022.
Bangladesh ranks 64th of 158 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.
Agricultural output, per unit of GDP in Bangladesh, year by year
| Year | constant 2014-2016 US$ per US$ of GDP | Change |
|---|---|---|
| 1961 | 1.21 constant 2014-2016 US$ per US$ of GDP | — |
| 1962 | 1.1 constant 2014-2016 US$ per US$ of GDP | -9.2% |
| 1963 | 1.17 constant 2014-2016 US$ per US$ of GDP | +6.2% |
| 1964 | 1.16 constant 2014-2016 US$ per US$ of GDP | -1.0% |
| 1965 | 1.08 constant 2014-2016 US$ per US$ of GDP | -6.3% |
| 1966 | 0.9582 constant 2014-2016 US$ per US$ of GDP | -11.5% |
| 1967 | 0.9574 constant 2014-2016 US$ per US$ of GDP | -0.1% |
| 1968 | 0.9369 constant 2014-2016 US$ per US$ of GDP | -2.1% |
| 1969 | 0.8725 constant 2014-2016 US$ per US$ of GDP | -6.9% |
| 1970 | 0.784 constant 2014-2016 US$ per US$ of GDP | -10.1% |
| 1971 | 0.736 constant 2014-2016 US$ per US$ of GDP | -6.1% |
| 1972 | 1.03 constant 2014-2016 US$ per US$ of GDP | +39.6% |
| 1973 | 0.8668 constant 2014-2016 US$ per US$ of GDP | -15.6% |
| 1974 | 0.5362 constant 2014-2016 US$ per US$ of GDP | -38.1% |
| 1975 | 0.3791 constant 2014-2016 US$ per US$ of GDP | -29.3% |
| 1976 | 0.7084 constant 2014-2016 US$ per US$ of GDP | +86.9% |
| 1977 | 0.7919 constant 2014-2016 US$ per US$ of GDP | +11.8% |
| 1978 | 0.6001 constant 2014-2016 US$ per US$ of GDP | -24.2% |
| 1979 | 0.5091 constant 2014-2016 US$ per US$ of GDP | -15.2% |
| 1980 | 0.445 constant 2014-2016 US$ per US$ of GDP | -12.6% |
| 1981 | 0.3964 constant 2014-2016 US$ per US$ of GDP | -10.9% |
| 1982 | 0.4482 constant 2014-2016 US$ per US$ of GDP | +13.1% |
| 1983 | 0.4837 constant 2014-2016 US$ per US$ of GDP | +7.9% |
| 1984 | 0.4535 constant 2014-2016 US$ per US$ of GDP | -6.2% |
| 1985 | 0.4058 constant 2014-2016 US$ per US$ of GDP | -10.5% |
| 1986 | 0.4182 constant 2014-2016 US$ per US$ of GDP | +3.0% |
| 1987 | 0.3683 constant 2014-2016 US$ per US$ of GDP | -11.9% |
| 1988 | 0.3378 constant 2014-2016 US$ per US$ of GDP | -8.3% |
| 1989 | 0.3364 constant 2014-2016 US$ per US$ of GDP | -0.4% |
| 1990 | 0.3097 constant 2014-2016 US$ per US$ of GDP | -7.9% |
| 1991 | 0.3214 constant 2014-2016 US$ per US$ of GDP | +3.8% |
| 1992 | 0.3245 constant 2014-2016 US$ per US$ of GDP | +0.9% |
| 1993 | 0.3051 constant 2014-2016 US$ per US$ of GDP | -6.0% |
| 1994 | 0.297 constant 2014-2016 US$ per US$ of GDP | -2.7% |
| 1995 | 0.2646 constant 2014-2016 US$ per US$ of GDP | -10.9% |
| 1996 | 0.2328 constant 2014-2016 US$ per US$ of GDP | -12.0% |
| 1997 | 0.2267 constant 2014-2016 US$ per US$ of GDP | -2.6% |
| 1998 | 0.214 constant 2014-2016 US$ per US$ of GDP | -5.6% |
| 1999 | 0.2502 constant 2014-2016 US$ per US$ of GDP | +16.9% |
| 2000 | 0.2505 constant 2014-2016 US$ per US$ of GDP | +0.1% |
| 2001 | 0.2513 constant 2014-2016 US$ per US$ of GDP | +0.3% |
| 2002 | 0.2505 constant 2014-2016 US$ per US$ of GDP | -0.3% |
| 2003 | 0.2356 constant 2014-2016 US$ per US$ of GDP | -6.0% |
| 2004 | 0.2139 constant 2014-2016 US$ per US$ of GDP | -9.2% |
| 2005 | 0.2269 constant 2014-2016 US$ per US$ of GDP | +6.1% |
| 2006 | 0.2208 constant 2014-2016 US$ per US$ of GDP | -2.7% |
| 2007 | 0.2029 constant 2014-2016 US$ per US$ of GDP | -8.1% |
| 2008 | 0.199 constant 2014-2016 US$ per US$ of GDP | -1.9% |
| 2009 | 0.1743 constant 2014-2016 US$ per US$ of GDP | -12.4% |
| 2010 | 0.1654 constant 2014-2016 US$ per US$ of GDP | -5.1% |
| 2011 | 0.1596 constant 2014-2016 US$ per US$ of GDP | -3.5% |
| 2012 | 0.1573 constant 2014-2016 US$ per US$ of GDP | -1.4% |
| 2013 | 0.1446 constant 2014-2016 US$ per US$ of GDP | -8.1% |
| 2014 | 0.132 constant 2014-2016 US$ per US$ of GDP | -8.7% |
| 2015 | 0.1216 constant 2014-2016 US$ per US$ of GDP | -7.9% |
| 2016 | 0.0922 constant 2014-2016 US$ per US$ of GDP | -24.1% |
| 2017 | 0.0883 constant 2014-2016 US$ per US$ of GDP | -4.3% |
| 2018 | 0.0822 constant 2014-2016 US$ per US$ of GDP | -6.9% |
| 2019 | 0.0776 constant 2014-2016 US$ per US$ of GDP | -5.6% |
| 2020 | 0.0755 constant 2014-2016 US$ per US$ of GDP | -2.7% |
| 2021 | 0.0724 constant 2014-2016 US$ per US$ of GDP | -4.1% |
| 2022 | 0.0676 constant 2014-2016 US$ per US$ of GDP | -6.7% |
| 2023 | 0.0734 constant 2014-2016 US$ per US$ of GDP | +8.6% |
| 2024 | 0.0736 constant 2014-2016 US$ per US$ of GDP | +0.2% |
Bangladesh compared with similar countries
- Bangladesh's 0.0736 constant 2014-2016 US$ per US$ of GDP is below the median for lower middle income countries, which is 0.174 constant 2014-2016 US$ per US$ of GDP, 42% of the median. (35 countries reporting)
- Bangladesh's 0.0736 constant 2014-2016 US$ per US$ of GDP is above the median for South Asia, which is 0.0701 constant 2014-2016 US$ per US$ of GDP, 1.0× the median. (6 countries reporting)
Biggest year-on-year movements
Years where Agricultural output, per unit of GDP in Bangladesh 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 |
|---|---|---|---|
| 1976 | +86.9% | 0.3791 constant 2014-2016 US$ per US$ of GDP | 0.7084 constant 2014-2016 US$ per US$ of GDP |
| 1972 | +39.6% | 0.736 constant 2014-2016 US$ per US$ of GDP | 1.03 constant 2014-2016 US$ per US$ of GDP |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.05 constant 2014-2016 US$ per US$ of GDP | 0.8725 constant 2014-2016 US$ per US$ of GDP | 1.21 constant 2014-2016 US$ per US$ of GDP | 9 |
| 1970s | 0.6939 constant 2014-2016 US$ per US$ of GDP | 0.3791 constant 2014-2016 US$ per US$ of GDP | 1.03 constant 2014-2016 US$ per US$ of GDP | 10 |
| 1980s | 0.4093 constant 2014-2016 US$ per US$ of GDP | 0.3364 constant 2014-2016 US$ per US$ of GDP | 0.4837 constant 2014-2016 US$ per US$ of GDP | 10 |
| 1990s | 0.2746 constant 2014-2016 US$ per US$ of GDP | 0.214 constant 2014-2016 US$ per US$ of GDP | 0.3245 constant 2014-2016 US$ per US$ of GDP | 10 |
| 2000s | 0.2226 constant 2014-2016 US$ per US$ of GDP | 0.1743 constant 2014-2016 US$ per US$ of GDP | 0.2513 constant 2014-2016 US$ per US$ of GDP | 10 |
| 2010s | 0.1221 constant 2014-2016 US$ per US$ of GDP | 0.0776 constant 2014-2016 US$ per US$ of GDP | 0.1654 constant 2014-2016 US$ per US$ of GDP | 10 |
| 2020s | 0.0725 constant 2014-2016 US$ per US$ of GDP | 0.0676 constant 2014-2016 US$ per US$ of GDP | 0.0755 constant 2014-2016 US$ per US$ of GDP | 5 |
Countries ranked near Bangladesh
- 61 China 0.077 constant 2014-2016 US$ per US$ of GDP compare
- 62 Angola 0.0751 constant 2014-2016 US$ per US$ of GDP compare
- 63 Thailand 0.0746 constant 2014-2016 US$ per US$ of GDP compare
- 65 Morocco 0.0728 constant 2014-2016 US$ per US$ of GDP compare
- 66 Ecuador 0.0728 constant 2014-2016 US$ per US$ of GDP compare
- 67 Turkey 0.0724 constant 2014-2016 US$ per US$ of GDP 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 agricultural output, per unit of gdp in Bangladesh?
- Agricultural output, per unit of gdp in Bangladesh was 0.0736 constant 2014-2016 US$ per US$ of GDP in 2024, according to Statizoid (derived).
- What is the highest agricultural output, per unit of gdp recorded in Bangladesh?
- The highest recorded value was 1.21 constant 2014-2016 US$ per US$ of GDP in 1961.
- What is the lowest agricultural output, per unit of gdp recorded in Bangladesh?
- The lowest recorded value was 0.0676 constant 2014-2016 US$ per US$ of GDP in 2022.
- How does Bangladesh rank for agricultural output, per unit of gdp?
- Bangladesh ranks 64th out of 158 countries with data for 2024.
- Is agricultural output, per unit of gdp rising or falling in Bangladesh?
- Over the last ten years it is down 44.3%. The long-run trend across the full record is volatile.
- Where does this Bangladesh data come from?
- The figures come from Statizoid (derived), published as part of Agricultural output, per unit of GDP. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 64 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Agricultural output divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Agricultural output ÷ GDP (current US$)
Computed from
- Agricultural output Food and Agriculture Organization of the United Nations (2026) – with major processing by Our World in Data
- GDP Country official statistics, National Statistical Organizations and/or Central Banks
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Agricultural output divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.