Coconuts, in shell — Gross Production Value in Bangladesh
Bangladesh: Coconuts, in shell — Gross Production Value was 65,347 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
65,347 1000 Int$
Change on year
down 0.8%
World rank
13th
of 85 countries
All-time high
76,214 1000 Int$
in 2018
All-time low
8,125 1000 Int$
in 1961
Years of data
64
1961–2024
Coconuts, in shell — Gross Production Value in Bangladesh, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Bangladesh recorded 65,347 1000 Int$ for coconuts, in shell — gross production value in 2024.
That represents a change of down 0.8% on the previous year and up 15.2% over ten years.
Over the whole period, coconuts, in shell — gross production value in Bangladesh peaked at 76,214 1000 Int$ in 2018 and was at its lowest, 8,125 1000 Int$, in 1961.
That places Bangladesh 13th out of 85 countries with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Coconuts, in shell — Gross Production Value in Bangladesh, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 8,125 1000 Int$ | — |
| 1962 | 8,457 1000 Int$ | +4.1% |
| 1963 | 8,291 1000 Int$ | -2.0% |
| 1964 | 10,281 1000 Int$ | +24.0% |
| 1965 | 13,929 1000 Int$ | +35.5% |
| 1966 | 15,090 1000 Int$ | +8.3% |
| 1967 | 15,422 1000 Int$ | +2.2% |
| 1968 | 13,099 1000 Int$ | -15.1% |
| 1969 | 13,550 1000 Int$ | +3.4% |
| 1970 | 9,250 1000 Int$ | -31.7% |
| 1971 | 9,364 1000 Int$ | +1.2% |
| 1972 | 9,518 1000 Int$ | +1.6% |
| 1973 | 9,424 1000 Int$ | -1.0% |
| 1974 | 10,096 1000 Int$ | +7.1% |
| 1975 | 10,103 1000 Int$ | +0.1% |
| 1976 | 10,659 1000 Int$ | +5.5% |
| 1977 | 11,179 1000 Int$ | +4.9% |
| 1978 | 10,914 1000 Int$ | -2.4% |
| 1979 | 11,725 1000 Int$ | +7.4% |
| 1980 | 12,521 1000 Int$ | +6.8% |
| 1981 | 12,612 1000 Int$ | +0.7% |
| 1982 | 12,623 1000 Int$ | +0.1% |
| 1983 | 12,935 1000 Int$ | +2.5% |
| 1984 | 13,555 1000 Int$ | +4.8% |
| 1985 | 13,549 1000 Int$ | -0.0% |
| 1986 | 13,600 1000 Int$ | +0.4% |
| 1987 | 13,483 1000 Int$ | -0.9% |
| 1988 | 14,046 1000 Int$ | +4.2% |
| 1989 | 13,656 1000 Int$ | -2.8% |
| 1990 | 13,317 1000 Int$ | -2.5% |
| 1991 | 12,390 1000 Int$ | -7.0% |
| 1992 | 13,324 1000 Int$ | +7.5% |
| 1993 | 15,129 1000 Int$ | +13.5% |
| 1994 | 15,317 1000 Int$ | +1.2% |
| 1995 | 15,550 1000 Int$ | +1.5% |
| 1996 | 14,526 1000 Int$ | -6.6% |
| 1997 | 14,567 1000 Int$ | +0.3% |
| 1998 | 14,578 1000 Int$ | +0.1% |
| 1999 | 14,526 1000 Int$ | -0.4% |
| 2000 | 14,526 1000 Int$ | +0.0% |
| 2001 | 14,526 1000 Int$ | +0.0% |
| 2002 | 14,199 1000 Int$ | -2.3% |
| 2003 | 14,347 1000 Int$ | +1.0% |
| 2004 | 21,690 1000 Int$ | +51.2% |
| 2005 | 64,378 1000 Int$ | +196.8% |
| 2006 | 53,176 1000 Int$ | -17.4% |
| 2007 | 57,418 1000 Int$ | +8.0% |
| 2008 | 54,519 1000 Int$ | -5.0% |
| 2009 | 51,640 1000 Int$ | -5.3% |
| 2010 | 65,610 1000 Int$ | +27.1% |
| 2011 | 53,206 1000 Int$ | -18.9% |
| 2012 | 60,713 1000 Int$ | +14.1% |
| 2013 | 59,408 1000 Int$ | -2.1% |
| 2014 | 56,711 1000 Int$ | -4.5% |
| 2015 | 62,645 1000 Int$ | +10.5% |
| 2016 | 61,084 1000 Int$ | -2.5% |
| 2017 | 66,693 1000 Int$ | +9.2% |
| 2018 | 76,214 1000 Int$ | +14.3% |
| 2019 | 70,440 1000 Int$ | -7.6% |
| 2020 | 70,440 1000 Int$ | +0.0% |
| 2021 | 65,749 1000 Int$ | -6.7% |
| 2022 | 67,237 1000 Int$ | +2.3% |
| 2023 | 65,880 1000 Int$ | -2.0% |
| 2024 | 65,347 1000 Int$ | -0.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 11,805 1000 Int$ | 8,125 1000 Int$ | 15,422 1000 Int$ | 9 |
| 1970s | 10,223 1000 Int$ | 9,250 1000 Int$ | 11,725 1000 Int$ | 10 |
| 1980s | 13,258 1000 Int$ | 12,521 1000 Int$ | 14,046 1000 Int$ | 10 |
| 1990s | 14,322 1000 Int$ | 12,390 1000 Int$ | 15,550 1000 Int$ | 10 |
| 2000s | 36,042 1000 Int$ | 14,199 1000 Int$ | 64,378 1000 Int$ | 10 |
| 2010s | 63,272 1000 Int$ | 53,206 1000 Int$ | 76,214 1000 Int$ | 10 |
| 2020s | 66,931 1000 Int$ | 65,347 1000 Int$ | 70,440 1000 Int$ | 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)
- Agriculture share gdp 11.42 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 11.42 (2025)
- Agricultural raw materials exports 0.8% (2018)
- Agricultural raw materials imports 6.0% (2018)
Frequently asked questions
- What is coconuts, in shell — gross production value in Bangladesh?
- Coconuts, in shell — gross production value in Bangladesh was 65,347 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest coconuts, in shell — gross production value recorded in Bangladesh?
- The highest recorded value was 76,214 1000 Int$ in 2018.
- What is the lowest coconuts, in shell — gross production value recorded in Bangladesh?
- The lowest recorded value was 8,125 1000 Int$ in 1961.
- How does Bangladesh rank for coconuts, in shell — gross production value?
- Bangladesh ranks 13th out of 85 countries with data for 2024.
- Is coconuts, in shell — gross production value rising or falling in Bangladesh?
- Over the last ten years it is up 15.2%. 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 Coconuts, in shell — 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.