Potatoes — Gross Production Value in Bangladesh
Bangladesh: Potatoes — Gross Production Value was 2.65 million 1000 Int$ in 2024. ◆ Volatile
Potatoes — Gross Production Value in Bangladesh, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
In 2024, potatoes — gross production value in Bangladesh stood at 2.65 million 1000 Int$. That is the highest value across all 64 years on record.
The figure is up 1.6% on the previous year and up 18.4% over ten years.
Over the whole period, potatoes — gross production value in Bangladesh peaked at 2.65 million 1000 Int$ in 2024 and was at its lowest, 81,113 1000 Int$, in 1964.
That places Bangladesh 8th out of 153 countries with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Potatoes — Gross Production Value in Bangladesh, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 85,944 1000 Int$ | — |
| 1962 | 84,164 1000 Int$ | -2.1% |
| 1963 | 90,776 1000 Int$ | +7.9% |
| 1964 | 81,113 1000 Int$ | -10.6% |
| 1965 | 100,438 1000 Int$ | +23.8% |
| 1966 | 123,583 1000 Int$ | +23.0% |
| 1967 | 150,287 1000 Int$ | +21.6% |
| 1968 | 178,267 1000 Int$ | +18.6% |
| 1969 | 200,115 1000 Int$ | +12.3% |
| 1970 | 216,408 1000 Int$ | +8.1% |
| 1971 | 215,882 1000 Int$ | -0.2% |
| 1972 | 188,402 1000 Int$ | -12.7% |
| 1973 | 189,882 1000 Int$ | +0.8% |
| 1974 | 182,713 1000 Int$ | -3.8% |
| 1975 | 220,330 1000 Int$ | +20.6% |
| 1976 | 225,999 1000 Int$ | +2.6% |
| 1977 | 184,032 1000 Int$ | -18.6% |
| 1978 | 228,707 1000 Int$ | +24.3% |
| 1979 | 227,574 1000 Int$ | -0.5% |
| 1980 | 229,527 1000 Int$ | +0.9% |
| 1981 | 249,996 1000 Int$ | +8.9% |
| 1982 | 274,082 1000 Int$ | +9.6% |
| 1983 | 283,079 1000 Int$ | +3.3% |
| 1984 | 287,230 1000 Int$ | +1.5% |
| 1985 | 290,158 1000 Int$ | +1.0% |
| 1986 | 275,994 1000 Int$ | -4.9% |
| 1987 | 267,611 1000 Int$ | -3.0% |
| 1988 | 319,256 1000 Int$ | +19.3% |
| 1989 | 272,618 1000 Int$ | -14.6% |
| 1990 | 266,707 1000 Int$ | -2.2% |
| 1991 | 309,534 1000 Int$ | +16.1% |
| 1992 | 345,201 1000 Int$ | +11.5% |
| 1993 | 346,375 1000 Int$ | +0.3% |
| 1994 | 359,901 1000 Int$ | +3.9% |
| 1995 | 367,495 1000 Int$ | +2.1% |
| 1996 | 373,291 1000 Int$ | +1.6% |
| 1997 | 377,371 1000 Int$ | +1.1% |
| 1998 | 388,713 1000 Int$ | +3.0% |
| 1999 | 691,243 1000 Int$ | +77.8% |
| 2000 | 734,039 1000 Int$ | +6.2% |
| 2001 | 804,865 1000 Int$ | +9.6% |
| 2002 | 749,306 1000 Int$ | -6.9% |
| 2003 | 847,389 1000 Int$ | +13.1% |
| 2004 | 977,831 1000 Int$ | +15.4% |
| 2005 | 1.22 million 1000 Int$ | +24.3% |
| 2006 | 1.34 million 1000 Int$ | +10.6% |
| 2007 | 1.29 million 1000 Int$ | -3.8% |
| 2008 | 1.66 million 1000 Int$ | +28.7% |
| 2009 | 1.32 million 1000 Int$ | -20.8% |
| 2010 | 1.98 million 1000 Int$ | +50.5% |
| 2011 | 2.08 million 1000 Int$ | +5.0% |
| 2012 | 2.05 million 1000 Int$ | -1.5% |
| 2013 | 2.15 million 1000 Int$ | +4.8% |
| 2014 | 2.24 million 1000 Int$ | +4.0% |
| 2015 | 2.32 million 1000 Int$ | +3.4% |
| 2016 | 2.37 million 1000 Int$ | +2.4% |
| 2017 | 2.56 million 1000 Int$ | +7.8% |
| 2018 | 2.44 million 1000 Int$ | -4.6% |
| 2019 | 2.42 million 1000 Int$ | -0.9% |
| 2020 | 2.40 million 1000 Int$ | -0.5% |
| 2021 | 2.47 million 1000 Int$ | +2.9% |
| 2022 | 2.54 million 1000 Int$ | +2.6% |
| 2023 | 2.61 million 1000 Int$ | +2.8% |
| 2024 | 2.65 million 1000 Int$ | +1.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 121,632 1000 Int$ | 81,113 1000 Int$ | 200,115 1000 Int$ | 9 |
| 1970s | 207,993 1000 Int$ | 182,713 1000 Int$ | 228,707 1000 Int$ | 10 |
| 1980s | 274,955 1000 Int$ | 229,527 1000 Int$ | 319,256 1000 Int$ | 10 |
| 1990s | 382,583 1000 Int$ | 266,707 1000 Int$ | 691,243 1000 Int$ | 10 |
| 2000s | 1.09 million 1000 Int$ | 734,039 1000 Int$ | 1.66 million 1000 Int$ | 10 |
| 2010s | 2.26 million 1000 Int$ | 1.98 million 1000 Int$ | 2.56 million 1000 Int$ | 10 |
| 2020s | 2.54 million 1000 Int$ | 2.40 million 1000 Int$ | 2.65 million 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 potatoes — gross production value in Bangladesh?
- Potatoes — gross production value in Bangladesh was 2.65 million 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest potatoes — gross production value recorded in Bangladesh?
- The highest recorded value was 2.65 million 1000 Int$ in 2024.
- What is the lowest potatoes — gross production value recorded in Bangladesh?
- The lowest recorded value was 81,113 1000 Int$ in 1964.
- How does Bangladesh rank for potatoes — gross production value?
- Bangladesh ranks 8th out of 153 countries with data for 2024.
- Is potatoes — gross production value rising or falling in Bangladesh?
- Over the last ten years it is up 18.4%. 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 Potatoes — 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.