Pineapples — Gross Production Value in Bangladesh

Bangladesh: Pineapples — Gross Production Value was 2.81 million 1000 SLC in 2024. ▲ Rising

Latest (2024)
2.81 million 1000 SLC
Change on year
up 6.1%
World rank
24th
of 63 countries
All-time high
3.42 million 1000 SLC
in 2006
All-time low
260,062 1000 SLC
in 1961
Years of data
64
1961–2024

Pineapples — Gross Production Value in Bangladesh, 1961–2024

01.0M2.0M3.0M196119922024

Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.

Analysis

The most recent figure for pineapples — gross production value in Bangladesh is 2.81 million 1000 SLC, measured in 2024.

Compared with earlier readings it is up 6.1% on the previous year and up 5.0% over ten years.

Over the whole period, pineapples — gross production value in Bangladesh peaked at 3.42 million 1000 SLC in 2006 and was at its lowest, 260,062 1000 SLC, in 1961.

That places Bangladesh 24th out of 63 countries with data for 2024, putting it in the middle of the range.

The long-run direction has been consistently rising across the 64 years of available data.

Pineapples — Gross Production Value in Bangladesh, year by year

Annual values for Pineapples — Gross Production Value (constant 2014-2016 thousand SLC) in Bangladesh, 1961 to 2024.
Year 1000 SLC Change
1961 260,062 1000 SLC
1962 285,091 1000 SLC +9.6%
1963 492,737 1000 SLC +72.8%
1964 602,352 1000 SLC +22.2%
1965 608,387 1000 SLC +1.0%
1966 766,512 1000 SLC +26.0%
1967 1.25 million 1000 SLC +62.5%
1968 1.30 million 1000 SLC +4.4%
1969 1.42 million 1000 SLC +9.5%
1970 1.26 million 1000 SLC -11.5%
1971 1.23 million 1000 SLC -2.7%
1972 1.34 million 1000 SLC +9.0%
1973 1.50 million 1000 SLC +12.4%
1974 1.67 million 1000 SLC +11.5%
1975 1.87 million 1000 SLC +11.5%
1976 1.94 million 1000 SLC +3.9%
1977 1.94 million 1000 SLC -0.1%
1978 1.88 million 1000 SLC -2.8%
1979 1.91 million 1000 SLC +1.8%
1980 2.07 million 1000 SLC +7.9%
1981 2.10 million 1000 SLC +1.6%
1982 2.10 million 1000 SLC +0.3%
1983 1.84 million 1000 SLC -12.6%
1984 1.77 million 1000 SLC -3.6%
1985 1.72 million 1000 SLC -2.9%
1986 1.79 million 1000 SLC +4.1%
1987 1.96 million 1000 SLC +9.4%
1988 1.97 million 1000 SLC +0.4%
1989 2.11 million 1000 SLC +7.4%
1990 2.19 million 1000 SLC +3.6%
1991 2.02 million 1000 SLC -7.6%
1992 2.00 million 1000 SLC -1.3%
1993 2.01 million 1000 SLC +0.7%
1994 2.01 million 1000 SLC +0.0%
1995 2.01 million 1000 SLC +0.0%
1996 2.00 million 1000 SLC -0.4%
1997 2.00 million 1000 SLC -0.1%
1998 2.00 million 1000 SLC +0.1%
1999 1.97 million 1000 SLC -1.7%
2000 1.99 million 1000 SLC +1.4%
2001 2.05 million 1000 SLC +2.7%
2002 2.06 million 1000 SLC +0.7%
2003 2.08 million 1000 SLC +0.8%
2004 2.87 million 1000 SLC +38.0%
2005 3.16 million 1000 SLC +10.4%
2006 3.42 million 1000 SLC +8.1%
2007 3.21 million 1000 SLC -6.1%
2008 2.83 million 1000 SLC -11.8%
2009 3.09 million 1000 SLC +8.9%
2010 3.16 million 1000 SLC +2.4%
2011 2.94 million 1000 SLC -6.8%
2012 2.44 million 1000 SLC -17.2%
2013 2.51 million 1000 SLC +3.2%
2014 2.68 million 1000 SLC +6.6%
2015 2.66 million 1000 SLC -0.7%
2016 2.70 million 1000 SLC +1.6%
2017 2.85 million 1000 SLC +5.5%
2018 2.81 million 1000 SLC -1.6%
2019 2.93 million 1000 SLC +4.3%
2020 2.94 million 1000 SLC +0.3%
2021 2.80 million 1000 SLC -4.5%
2022 2.78 million 1000 SLC -0.9%
2023 2.65 million 1000 SLC -4.6%
2024 2.81 million 1000 SLC +6.1%

Averages by decade

DecadeAverage LowestHighest Years
1960s 776,050 1000 SLC 260,062 1000 SLC 1.42 million 1000 SLC 9
1970s 1.65 million 1000 SLC 1.23 million 1000 SLC 1.94 million 1000 SLC 10
1980s 1.94 million 1000 SLC 1.72 million 1000 SLC 2.11 million 1000 SLC 10
1990s 2.02 million 1000 SLC 1.97 million 1000 SLC 2.19 million 1000 SLC 10
2000s 2.68 million 1000 SLC 1.99 million 1000 SLC 3.42 million 1000 SLC 10
2010s 2.77 million 1000 SLC 2.44 million 1000 SLC 3.16 million 1000 SLC 10
2020s 2.80 million 1000 SLC 2.65 million 1000 SLC 2.94 million 1000 SLC 5

Countries ranked near Bangladesh

  1. 21 Congo 3.98 million 1000 SLC compare
  2. 22 Mozambique 3.69 million 1000 SLC compare
  3. 23 Sri Lanka 3.28 million 1000 SLC compare
  4. 25 Kenya 2.70 million 1000 SLC compare
  5. 26 Brazil 1.67 million 1000 SLC compare
  6. 27 Republic of Korea 1.21 million 1000 SLC compare

See the full ranking of 70 places →

More agriculture & rural data for Bangladesh

All data for Bangladesh →

Frequently asked questions

What is pineapples — gross production value in Bangladesh?
Pineapples — gross production value in Bangladesh was 2.81 million 1000 SLC in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest pineapples — gross production value recorded in Bangladesh?
The highest recorded value was 3.42 million 1000 SLC in 2006.
What is the lowest pineapples — gross production value recorded in Bangladesh?
The lowest recorded value was 260,062 1000 SLC in 1961.
How does Bangladesh rank for pineapples — gross production value?
Bangladesh ranks 24th out of 63 countries with data for 2024.
Is pineapples — gross production value rising or falling in Bangladesh?
Over the last ten years it is up 5.0%. 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 Pineapples — Gross Production Value (constant 2014-2016 thousand SLC). Statizoid updates them automatically from the source API.

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Pineapples — Gross Production Value in Bangladesh. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 August 2026, from https://agriculture.statizoid.com/stat/pineapples-gross-production-value-constant-2014-2016-thousand-slc/bangladesh/

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About this data

Indicator
Pineapples — Gross Production Value (constant 2014-2016 thousand SLC)
Unit
1000 SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
70 places, 3,837 data points, 1961–2024
Last refreshed

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.