Lentils, dry — Gross Production Value in Bangladesh
Bangladesh: Lentils, dry — Gross Production Value was 126,255 1000 Int$ in 2024. ▲ Rising
Lentils, dry — Gross Production Value in Bangladesh, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for lentils, dry — gross production value in Bangladesh is 126,255 1000 Int$, measured in 2024.
Compared with earlier readings it is down 6.1% on the previous year and up 17.7% over ten years.
Over the whole period, lentils, dry — gross production value in Bangladesh peaked at 134,459 1000 Int$ in 2023 and was at its lowest, 29,150 1000 Int$, in 1961.
Bangladesh ranks 7th of 59 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 64 years of available data.
Lentils, dry — Gross Production Value in Bangladesh, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 29,150 1000 Int$ | — |
| 1962 | 32,621 1000 Int$ | +11.9% |
| 1963 | 33,315 1000 Int$ | +2.1% |
| 1964 | 32,621 1000 Int$ | -2.1% |
| 1965 | 30,538 1000 Int$ | -6.4% |
| 1966 | 31,902 1000 Int$ | +4.5% |
| 1967 | 34,020 1000 Int$ | +6.6% |
| 1968 | 32,653 1000 Int$ | -4.0% |
| 1969 | 35,386 1000 Int$ | +8.4% |
| 1970 | 43,037 1000 Int$ | +21.6% |
| 1971 | 47,136 1000 Int$ | +9.5% |
| 1972 | 56,699 1000 Int$ | +20.3% |
| 1973 | 71,045 1000 Int$ | +25.3% |
| 1974 | 84,708 1000 Int$ | +19.2% |
| 1975 | 94,271 1000 Int$ | +11.3% |
| 1976 | 118,181 1000 Int$ | +25.4% |
| 1977 | 117,498 1000 Int$ | -0.6% |
| 1978 | 119,547 1000 Int$ | +1.7% |
| 1979 | 120,230 1000 Int$ | +0.6% |
| 1980 | 115,448 1000 Int$ | -4.0% |
| 1981 | 115,448 1000 Int$ | +0.0% |
| 1982 | 109,983 1000 Int$ | -4.7% |
| 1983 | 100,420 1000 Int$ | -8.7% |
| 1984 | 110,120 1000 Int$ | +9.7% |
| 1985 | 112,169 1000 Int$ | +1.9% |
| 1986 | 109,027 1000 Int$ | -2.8% |
| 1987 | 101,786 1000 Int$ | -6.6% |
| 1988 | 108,422 1000 Int$ | +6.5% |
| 1989 | 107,961 1000 Int$ | -0.4% |
| 1990 | 105,967 1000 Int$ | -1.8% |
| 1991 | 107,442 1000 Int$ | +1.4% |
| 1992 | 104,395 1000 Int$ | -2.8% |
| 1993 | 111,640 1000 Int$ | +6.9% |
| 1994 | 114,765 1000 Int$ | +2.8% |
| 1995 | 114,728 1000 Int$ | -0.0% |
| 1996 | 116,094 1000 Int$ | +1.2% |
| 1997 | 116,476 1000 Int$ | +0.3% |
| 1998 | 111,145 1000 Int$ | -4.6% |
| 1999 | 112,931 1000 Int$ | +1.6% |
| 2000 | 87,440 1000 Int$ | -22.6% |
| 2001 | 86,074 1000 Int$ | -1.6% |
| 2002 | 78,560 1000 Int$ | -8.7% |
| 2003 | 79,243 1000 Int$ | +0.9% |
| 2004 | 83,478 1000 Int$ | +5.3% |
| 2005 | 82,703 1000 Int$ | -0.9% |
| 2006 | 78,812 1000 Int$ | -4.7% |
| 2007 | 79,796 1000 Int$ | +1.2% |
| 2008 | 48,867 1000 Int$ | -38.8% |
| 2009 | 41,354 1000 Int$ | -15.4% |
| 2010 | 48,570 1000 Int$ | +17.4% |
| 2011 | 54,952 1000 Int$ | +13.1% |
| 2012 | 54,736 1000 Int$ | -0.4% |
| 2013 | 63,531 1000 Int$ | +16.1% |
| 2014 | 107,251 1000 Int$ | +68.8% |
| 2015 | 114,260 1000 Int$ | +6.5% |
| 2016 | 108,090 1000 Int$ | -5.4% |
| 2017 | 115,337 1000 Int$ | +6.7% |
| 2018 | 120,663 1000 Int$ | +4.6% |
| 2019 | 119,809 1000 Int$ | -0.7% |
| 2020 | 121,155 1000 Int$ | +1.1% |
| 2021 | 126,720 1000 Int$ | +4.6% |
| 2022 | 130,302 1000 Int$ | +2.8% |
| 2023 | 134,459 1000 Int$ | +3.2% |
| 2024 | 126,255 1000 Int$ | -6.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 32,467 1000 Int$ | 29,150 1000 Int$ | 35,386 1000 Int$ | 9 |
| 1970s | 87,235 1000 Int$ | 43,037 1000 Int$ | 120,230 1000 Int$ | 10 |
| 1980s | 109,078 1000 Int$ | 100,420 1000 Int$ | 115,448 1000 Int$ | 10 |
| 1990s | 111,558 1000 Int$ | 104,395 1000 Int$ | 116,476 1000 Int$ | 10 |
| 2000s | 74,633 1000 Int$ | 41,354 1000 Int$ | 87,440 1000 Int$ | 10 |
| 2010s | 90,720 1000 Int$ | 48,570 1000 Int$ | 120,663 1000 Int$ | 10 |
| 2020s | 127,778 1000 Int$ | 121,155 1000 Int$ | 134,459 1000 Int$ | 5 |
Countries ranked near Bangladesh
- 4 Australia 864,189 1000 Int$ compare
- 5 Kazakhstan 311,478 1000 Int$ compare
- 6 Russian Federation 163,872 1000 Int$ compare
- 8 China 114,489 1000 Int$ compare
- 8 China, mainland 114,489 1000 Int$ compare
- 10 Nepal 104,475 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 lentils, dry — gross production value in Bangladesh?
- Lentils, dry — gross production value in Bangladesh was 126,255 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest lentils, dry — gross production value recorded in Bangladesh?
- The highest recorded value was 134,459 1000 Int$ in 2023.
- What is the lowest lentils, dry — gross production value recorded in Bangladesh?
- The lowest recorded value was 29,150 1000 Int$ in 1961.
- How does Bangladesh rank for lentils, dry — gross production value?
- Bangladesh ranks 7th out of 59 countries with data for 2024.
- Is lentils, dry — gross production value rising or falling in Bangladesh?
- Over the last ten years it is up 17.7%. The long-run trend across the full record is rising.
- Where does this Bangladesh data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Lentils, dry — 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.