Sorghum — Gross Production Value in Bangladesh
Bangladesh: Sorghum — Gross Production Value was 631 1000 SLC in 2024. ◆ Volatile
Latest (2024)
631 1000 SLC
Change on year
up 1.8%
World rank
72nd
of 82 countries
All-time high
13,903 1000 SLC
in 1986
All-time low
620 1000 SLC
in 2023
Years of data
64
1961–2024
Sorghum — Gross Production Value in Bangladesh, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
In 2024, sorghum — gross production value in Bangladesh stood at 631 1000 SLC.
Compared with earlier readings it is up 1.8% on the previous year and down 50.8% over ten years.
Over the whole period, sorghum — gross production value in Bangladesh peaked at 13,903 1000 SLC in 1986 and was at its lowest, 620 1000 SLC, in 2023.
That places Bangladesh 72nd out of 82 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Sorghum — Gross Production Value in Bangladesh, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 10,502 1000 SLC | — |
| 1962 | 10,502 1000 SLC | +0.0% |
| 1963 | 10,502 1000 SLC | +0.0% |
| 1964 | 10,502 1000 SLC | +0.0% |
| 1965 | 10,502 1000 SLC | +0.0% |
| 1966 | 7,349 1000 SLC | -30.0% |
| 1967 | 6,305 1000 SLC | -14.2% |
| 1968 | 5,251 1000 SLC | -16.7% |
| 1969 | 5,251 1000 SLC | +0.0% |
| 1970 | 9,448 1000 SLC | +79.9% |
| 1971 | 8,011 1000 SLC | -15.2% |
| 1972 | 7,701 1000 SLC | -3.9% |
| 1973 | 7,443 1000 SLC | -3.4% |
| 1974 | 7,546 1000 SLC | +1.4% |
| 1975 | 7,039 1000 SLC | -6.7% |
| 1976 | 6,336 1000 SLC | -10.0% |
| 1977 | 6,088 1000 SLC | -3.9% |
| 1978 | 5,323 1000 SLC | -12.6% |
| 1979 | 10,337 1000 SLC | +94.2% |
| 1980 | 10,337 1000 SLC | +0.0% |
| 1981 | 10,337 1000 SLC | +0.0% |
| 1982 | 10,337 1000 SLC | +0.0% |
| 1983 | 10,337 1000 SLC | +0.0% |
| 1984 | 13,438 1000 SLC | +30.0% |
| 1985 | 13,293 1000 SLC | -1.1% |
| 1986 | 13,903 1000 SLC | +4.6% |
| 1987 | 11,980 1000 SLC | -13.8% |
| 1988 | 11,887 1000 SLC | -0.8% |
| 1989 | 12,528 1000 SLC | +5.4% |
| 1990 | 8,476 1000 SLC | -32.3% |
| 1991 | 5,065 1000 SLC | -40.2% |
| 1992 | 5,603 1000 SLC | +10.6% |
| 1993 | 5,013 1000 SLC | -10.5% |
| 1994 | 4,755 1000 SLC | -5.1% |
| 1995 | 4,652 1000 SLC | -2.2% |
| 1996 | 5,065 1000 SLC | +8.9% |
| 1997 | 5,013 1000 SLC | -1.0% |
| 1998 | 6,616 1000 SLC | +32.0% |
| 1999 | 10,337 1000 SLC | +56.2% |
| 2000 | 10,337 1000 SLC | +0.0% |
| 2001 | 10,337 1000 SLC | +0.0% |
| 2002 | 10,337 1000 SLC | +0.0% |
| 2003 | 10,337 1000 SLC | +0.0% |
| 2004 | 8,321 1000 SLC | -19.5% |
| 2005 | 5,737 1000 SLC | -31.1% |
| 2006 | 2,584 1000 SLC | -55.0% |
| 2007 | 2,533 1000 SLC | -2.0% |
| 2008 | 4,579 1000 SLC | +80.8% |
| 2009 | 2,750 1000 SLC | -39.9% |
| 2010 | 2,595 1000 SLC | -5.6% |
| 2011 | 2,274 1000 SLC | -12.4% |
| 2012 | 2,336 1000 SLC | +2.7% |
| 2013 | 1,571 1000 SLC | -32.7% |
| 2014 | 1,282 1000 SLC | -18.4% |
| 2015 | 1,034 1000 SLC | -19.3% |
| 2016 | 1,054 1000 SLC | +1.9% |
| 2017 | 951 1000 SLC | -9.8% |
| 2018 | 899 1000 SLC | -5.5% |
| 2019 | 899 1000 SLC | +0.0% |
| 2020 | 796 1000 SLC | -11.5% |
| 2021 | 651 1000 SLC | -18.2% |
| 2022 | 827 1000 SLC | +27.0% |
| 2023 | 620 1000 SLC | -25.0% |
| 2024 | 631 1000 SLC | +1.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 8,518 1000 SLC | 5,251 1000 SLC | 10,502 1000 SLC | 9 |
| 1970s | 7,527 1000 SLC | 5,323 1000 SLC | 10,337 1000 SLC | 10 |
| 1980s | 11,838 1000 SLC | 10,337 1000 SLC | 13,903 1000 SLC | 10 |
| 1990s | 6,060 1000 SLC | 4,652 1000 SLC | 10,337 1000 SLC | 10 |
| 2000s | 6,785 1000 SLC | 2,533 1000 SLC | 10,337 1000 SLC | 10 |
| 2010s | 1,490 1000 SLC | 899 1000 SLC | 2,595 1000 SLC | 10 |
| 2020s | 705 1000 SLC | 620 1000 SLC | 827 1000 SLC | 5 |
Countries ranked near Bangladesh
- 69 Kyrgyzstan 2,413 1000 SLC compare
- 70 Namibia 2,289 1000 SLC compare
- 71 North Macedonia 656 1000 SLC compare
- 73 Panama 596 1000 SLC compare
- 74 Palestine, State of 549 1000 SLC compare
- 75 Slovakia 289 1000 SLC 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 sorghum — gross production value in Bangladesh?
- Sorghum — gross production value in Bangladesh was 631 1000 SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest sorghum — gross production value recorded in Bangladesh?
- The highest recorded value was 13,903 1000 SLC in 1986.
- What is the lowest sorghum — gross production value recorded in Bangladesh?
- The lowest recorded value was 620 1000 SLC in 2023.
- How does Bangladesh rank for sorghum — gross production value?
- Bangladesh ranks 72nd out of 82 countries with data for 2024.
- Is sorghum — gross production value rising or falling in Bangladesh?
- Over the last ten years it is down 50.8%. 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 Sorghum — Gross Production Value (constant 2014-2016 thousand SLC). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 64 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.