Papayas — Gross Production Value in Bangladesh
Bangladesh: Papayas — Gross Production Value was 4.79 million 1000 SLC in 2024. ◆ Volatile
Latest (2024)
4.79 million 1000 SLC
Change on year
up 0.6%
World rank
11th
of 51 countries
All-time high
7.87 million 1000 SLC
in 2005
All-time low
491,754 1000 SLC
in 1961
Years of data
64
1961–2024
Papayas — Gross Production Value in Bangladesh, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
Bangladesh recorded 4.79 million 1000 SLC for papayas — gross production value in 2024.
That represents a change of up 0.6% on the previous year and up 11.6% over ten years.
Over the whole period, papayas — gross production value in Bangladesh peaked at 7.87 million 1000 SLC in 2005 and was at its lowest, 491,754 1000 SLC, in 1961.
That places Bangladesh 11th out of 51 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.
Papayas — Gross Production Value in Bangladesh, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 491,754 1000 SLC | — |
| 1962 | 524,538 1000 SLC | +6.7% |
| 1963 | 557,321 1000 SLC | +6.2% |
| 1964 | 590,105 1000 SLC | +5.9% |
| 1965 | 622,889 1000 SLC | +5.6% |
| 1966 | 632,396 1000 SLC | +1.5% |
| 1967 | 898,697 1000 SLC | +42.1% |
| 1968 | 752,646 1000 SLC | -16.3% |
| 1969 | 775,267 1000 SLC | +3.0% |
| 1970 | 729,632 1000 SLC | -5.9% |
| 1971 | 654,197 1000 SLC | -10.3% |
| 1972 | 636,395 1000 SLC | -2.7% |
| 1973 | 625,216 1000 SLC | -1.8% |
| 1974 | 632,396 1000 SLC | +1.1% |
| 1975 | 625,052 1000 SLC | -1.2% |
| 1976 | 631,248 1000 SLC | +1.0% |
| 1977 | 662,393 1000 SLC | +4.9% |
| 1978 | 671,146 1000 SLC | +1.3% |
| 1979 | 665,868 1000 SLC | -0.8% |
| 1980 | 679,244 1000 SLC | +2.0% |
| 1981 | 816,082 1000 SLC | +20.1% |
| 1982 | 857,882 1000 SLC | +5.1% |
| 1983 | 902,107 1000 SLC | +5.2% |
| 1984 | 894,435 1000 SLC | -0.9% |
| 1985 | 924,662 1000 SLC | +3.4% |
| 1986 | 940,890 1000 SLC | +1.8% |
| 1987 | 972,198 1000 SLC | +3.3% |
| 1988 | 1.31 million 1000 SLC | +34.9% |
| 1989 | 919,416 1000 SLC | -29.9% |
| 1990 | 934,005 1000 SLC | +1.6% |
| 1991 | 970,887 1000 SLC | +3.9% |
| 1992 | 1.04 million 1000 SLC | +7.0% |
| 1993 | 1.15 million 1000 SLC | +10.6% |
| 1994 | 1.18 million 1000 SLC | +2.4% |
| 1995 | 1.25 million 1000 SLC | +6.0% |
| 1996 | 1.28 million 1000 SLC | +2.6% |
| 1997 | 1.28 million 1000 SLC | -0.2% |
| 1998 | 1.34 million 1000 SLC | +5.2% |
| 1999 | 1.31 million 1000 SLC | -2.3% |
| 2000 | 1.34 million 1000 SLC | +2.5% |
| 2001 | 1.44 million 1000 SLC | +7.3% |
| 2002 | 1.57 million 1000 SLC | +9.1% |
| 2003 | 1.56 million 1000 SLC | -1.0% |
| 2004 | 1.66 million 1000 SLC | +6.5% |
| 2005 | 7.87 million 1000 SLC | +374.2% |
| 2006 | 3.45 million 1000 SLC | -56.1% |
| 2007 | 3.14 million 1000 SLC | -9.0% |
| 2008 | 3.40 million 1000 SLC | +8.2% |
| 2009 | 4.25 million 1000 SLC | +25.0% |
| 2010 | 3.70 million 1000 SLC | -13.0% |
| 2011 | 4.09 million 1000 SLC | +10.6% |
| 2012 | 3.92 million 1000 SLC | -4.1% |
| 2013 | 4.10 million 1000 SLC | +4.5% |
| 2014 | 4.29 million 1000 SLC | +4.8% |
| 2015 | 4.37 million 1000 SLC | +1.8% |
| 2016 | 4.27 million 1000 SLC | -2.2% |
| 2017 | 4.41 million 1000 SLC | +3.3% |
| 2018 | 4.31 million 1000 SLC | -2.3% |
| 2019 | 4.45 million 1000 SLC | +3.2% |
| 2020 | 4.28 million 1000 SLC | -3.8% |
| 2021 | 4.12 million 1000 SLC | -3.8% |
| 2022 | 4.83 million 1000 SLC | +17.2% |
| 2023 | 4.76 million 1000 SLC | -1.4% |
| 2024 | 4.79 million 1000 SLC | +0.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 649,513 1000 SLC | 491,754 1000 SLC | 898,697 1000 SLC | 9 |
| 1970s | 653,354 1000 SLC | 625,052 1000 SLC | 729,632 1000 SLC | 10 |
| 1980s | 921,826 1000 SLC | 679,244 1000 SLC | 1.31 million 1000 SLC | 10 |
| 1990s | 1.17 million 1000 SLC | 934,005 1000 SLC | 1.34 million 1000 SLC | 10 |
| 2000s | 2.97 million 1000 SLC | 1.34 million 1000 SLC | 7.87 million 1000 SLC | 10 |
| 2010s | 4.19 million 1000 SLC | 3.70 million 1000 SLC | 4.45 million 1000 SLC | 10 |
| 2020s | 4.56 million 1000 SLC | 4.12 million 1000 SLC | 4.83 million 1000 SLC | 5 |
Countries ranked near Bangladesh
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 papayas — gross production value in Bangladesh?
- Papayas — gross production value in Bangladesh was 4.79 million 1000 SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest papayas — gross production value recorded in Bangladesh?
- The highest recorded value was 7.87 million 1000 SLC in 2005.
- What is the lowest papayas — gross production value recorded in Bangladesh?
- The lowest recorded value was 491,754 1000 SLC in 1961.
- How does Bangladesh rank for papayas — gross production value?
- Bangladesh ranks 11th out of 51 countries with data for 2024.
- Is papayas — gross production value rising or falling in Bangladesh?
- Over the last ten years it is up 11.6%. 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 Papayas — Gross Production Value (constant 2014-2016 thousand SLC). Statizoid updates them automatically from the source API.
Download this data
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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.