Lemons and limes — Gross Production Value in Bangladesh
Bangladesh: Lemons and limes — Gross Production Value was 61,704 1000 Int$ in 2024. ◆ Volatile
Lemons and limes — Gross Production Value in Bangladesh, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
In 2024, lemons and limes — gross production value in Bangladesh stood at 61,704 1000 Int$. That is the highest value across all 64 years on record.
Compared with earlier readings it is up 6.6% on the previous year and up 52.3% over ten years.
Over the whole period, lemons and limes — gross production value in Bangladesh peaked at 61,704 1000 Int$ in 2024 and was at its lowest, 579 1000 Int$, in 1961.
That places Bangladesh 20th out of 108 countries with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Lemons and limes — Gross Production Value in Bangladesh, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 579 1000 Int$ | — |
| 1962 | 1,158 1000 Int$ | +100.0% |
| 1963 | 1,158 1000 Int$ | +0.0% |
| 1964 | 1,737 1000 Int$ | +50.0% |
| 1965 | 1,158 1000 Int$ | -33.3% |
| 1966 | 2,316 1000 Int$ | +100.0% |
| 1967 | 2,316 1000 Int$ | +0.0% |
| 1968 | 2,316 1000 Int$ | +0.0% |
| 1969 | 2,316 1000 Int$ | +0.0% |
| 1970 | 2,316 1000 Int$ | +0.0% |
| 1971 | 2,316 1000 Int$ | +0.0% |
| 1972 | 2,316 1000 Int$ | +0.0% |
| 1973 | 2,330 1000 Int$ | +0.6% |
| 1974 | 2,225 1000 Int$ | -4.5% |
| 1975 | 2,078 1000 Int$ | -6.6% |
| 1976 | 2,248 1000 Int$ | +8.2% |
| 1977 | 1,997 1000 Int$ | -11.2% |
| 1978 | 1,925 1000 Int$ | -3.6% |
| 1979 | 2,044 1000 Int$ | +6.2% |
| 1980 | 1,997 1000 Int$ | -2.3% |
| 1981 | 2,149 1000 Int$ | +7.6% |
| 1982 | 2,387 1000 Int$ | +11.1% |
| 1983 | 2,823 1000 Int$ | +18.3% |
| 1984 | 3,065 1000 Int$ | +8.6% |
| 1985 | 3,654 1000 Int$ | +19.2% |
| 1986 | 3,801 1000 Int$ | +4.0% |
| 1987 | 4,166 1000 Int$ | +9.6% |
| 1988 | 3,535 1000 Int$ | -15.1% |
| 1989 | 3,741 1000 Int$ | +5.8% |
| 1990 | 3,975 1000 Int$ | +6.3% |
| 1991 | 4,186 1000 Int$ | +5.3% |
| 1992 | 4,757 1000 Int$ | +13.6% |
| 1993 | 5,046 1000 Int$ | +6.1% |
| 1994 | 5,637 1000 Int$ | +11.7% |
| 1995 | 5,944 1000 Int$ | +5.4% |
| 1996 | 6,763 1000 Int$ | +13.8% |
| 1997 | 6,748 1000 Int$ | -0.2% |
| 1998 | 6,997 1000 Int$ | +3.7% |
| 1999 | 7,527 1000 Int$ | +7.6% |
| 2000 | 8,685 1000 Int$ | +15.4% |
| 2001 | 8,685 1000 Int$ | +0.0% |
| 2002 | 8,685 1000 Int$ | +0.0% |
| 2003 | 9,658 1000 Int$ | +11.2% |
| 2004 | 10,544 1000 Int$ | +9.2% |
| 2005 | 19,686 1000 Int$ | +86.7% |
| 2006 | 26,536 1000 Int$ | +34.8% |
| 2007 | 21,869 1000 Int$ | -17.6% |
| 2008 | 30,573 1000 Int$ | +39.8% |
| 2009 | 30,573 1000 Int$ | +0.0% |
| 2010 | 31,259 1000 Int$ | +2.2% |
| 2011 | 31,622 1000 Int$ | +1.2% |
| 2012 | 36,669 1000 Int$ | +16.0% |
| 2013 | 38,794 1000 Int$ | +5.8% |
| 2014 | 40,502 1000 Int$ | +4.4% |
| 2015 | 39,790 1000 Int$ | -1.8% |
| 2016 | 37,780 1000 Int$ | -5.1% |
| 2017 | 40,028 1000 Int$ | +6.0% |
| 2018 | 38,839 1000 Int$ | -3.0% |
| 2019 | 38,839 1000 Int$ | +0.0% |
| 2020 | 33,902 1000 Int$ | -12.7% |
| 2021 | 47,250 1000 Int$ | +39.4% |
| 2022 | 55,244 1000 Int$ | +16.9% |
| 2023 | 57,861 1000 Int$ | +4.7% |
| 2024 | 61,704 1000 Int$ | +6.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1,673 1000 Int$ | 579 1000 Int$ | 2,316 1000 Int$ | 9 |
| 1970s | 2,180 1000 Int$ | 1,925 1000 Int$ | 2,330 1000 Int$ | 10 |
| 1980s | 3,132 1000 Int$ | 1,997 1000 Int$ | 4,166 1000 Int$ | 10 |
| 1990s | 5,758 1000 Int$ | 3,975 1000 Int$ | 7,527 1000 Int$ | 10 |
| 2000s | 17,549 1000 Int$ | 8,685 1000 Int$ | 30,573 1000 Int$ | 10 |
| 2010s | 37,412 1000 Int$ | 31,259 1000 Int$ | 40,502 1000 Int$ | 10 |
| 2020s | 51,192 1000 Int$ | 33,902 1000 Int$ | 61,704 1000 Int$ | 5 |
Countries ranked near Bangladesh
- 17 Kenya 78,310 1000 Int$ compare
- 18 Saudi Arabia 71,907 1000 Int$ compare
- 19 Guatemala 63,451 1000 Int$ compare
- 21 Pakistan 56,496 1000 Int$ compare
- 22 Dominican Republic 52,547 1000 Int$ compare
- 23 Australia and New Zealand 52,001 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 lemons and limes — gross production value in Bangladesh?
- Lemons and limes — gross production value in Bangladesh was 61,704 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest lemons and limes — gross production value recorded in Bangladesh?
- The highest recorded value was 61,704 1000 Int$ in 2024.
- What is the lowest lemons and limes — gross production value recorded in Bangladesh?
- The lowest recorded value was 579 1000 Int$ in 1961.
- How does Bangladesh rank for lemons and limes — gross production value?
- Bangladesh ranks 20th out of 108 countries with data for 2024.
- Is lemons and limes — gross production value rising or falling in Bangladesh?
- Over the last ten years it is up 52.3%. 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 Lemons and limes — 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.