Value Added (Agriculture, Forestry and Fishing) — Value US$, per in Bangladesh
Bangladesh: Value Added (Agriculture, Forestry and Fishing) — Value US$, per was 0.3576 million USD per square kilometre in 2023. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, per in Bangladesh, 1970–2023
Source: Statizoid (derived). Measured in million USD per square kilometre.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value us$, per in Bangladesh is 0.3576 million USD per square kilometre, measured in 2023.
Compared with earlier readings it is down 4.1% on the previous year and up 77.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, per in Bangladesh peaked at 0.3728 million USD per square kilometre in 2022 and was at its lowest, 0.0158 million USD per square kilometre, in 1971.
Bangladesh ranks 4th of 180 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, per in Bangladesh, year by year
| Year | million USD per square kilometre | Change |
|---|---|---|
| 1970 | 0.0187 million USD per square kilometre | — |
| 1971 | 0.0158 million USD per square kilometre | -15.8% |
| 1972 | 0.0205 million USD per square kilometre | +30.1% |
| 1973 | 0.0212 million USD per square kilometre | +3.6% |
| 1974 | 0.0261 million USD per square kilometre | +23.0% |
| 1975 | 0.0318 million USD per square kilometre | +21.7% |
| 1976 | 0.0298 million USD per square kilometre | -6.3% |
| 1977 | 0.0289 million USD per square kilometre | -2.9% |
| 1978 | 0.0383 million USD per square kilometre | +32.5% |
| 1979 | 0.0418 million USD per square kilometre | +9.2% |
| 1980 | 0.0436 million USD per square kilometre | +4.3% |
| 1981 | 0.044 million USD per square kilometre | +0.8% |
| 1982 | 0.0394 million USD per square kilometre | -10.3% |
| 1983 | 0.0399 million USD per square kilometre | +1.0% |
| 1984 | 0.0488 million USD per square kilometre | +22.4% |
| 1985 | 0.0507 million USD per square kilometre | +3.8% |
| 1986 | 0.0517 million USD per square kilometre | +2.0% |
| 1987 | 0.0593 million USD per square kilometre | +14.6% |
| 1988 | 0.0609 million USD per square kilometre | +2.8% |
| 1989 | 0.0635 million USD per square kilometre | +4.2% |
| 1990 | 0.0656 million USD per square kilometre | +3.4% |
| 1991 | 0.0685 million USD per square kilometre | +4.5% |
| 1992 | 0.0669 million USD per square kilometre | -2.3% |
| 1993 | 0.0615 million USD per square kilometre | -8.1% |
| 1994 | 0.064 million USD per square kilometre | +4.0% |
| 1995 | 0.0737 million USD per square kilometre | +15.2% |
| 1996 | 0.0753 million USD per square kilometre | +2.2% |
| 1997 | 0.0782 million USD per square kilometre | +3.8% |
| 1998 | 0.0803 million USD per square kilometre | +2.6% |
| 1999 | 0.0868 million USD per square kilometre | +8.2% |
| 2000 | 0.086 million USD per square kilometre | -1.0% |
| 2001 | 0.0813 million USD per square kilometre | -5.5% |
| 2002 | 0.0795 million USD per square kilometre | -2.2% |
| 2003 | 0.0833 million USD per square kilometre | +4.8% |
| 2004 | 0.0867 million USD per square kilometre | +4.1% |
| 2005 | 0.0855 million USD per square kilometre | -1.4% |
| 2006 | 0.0969 million USD per square kilometre | +13.3% |
| 2007 | 0.1107 million USD per square kilometre | +14.2% |
| 2008 | 0.1274 million USD per square kilometre | +15.0% |
| 2009 | 0.1399 million USD per square kilometre | +9.8% |
| 2010 | 0.1581 million USD per square kilometre | +13.0% |
| 2011 | 0.1709 million USD per square kilometre | +8.1% |
| 2012 | 0.1741 million USD per square kilometre | +1.8% |
| 2013 | 0.2013 million USD per square kilometre | +15.6% |
| 2014 | 0.228 million USD per square kilometre | +13.3% |
| 2015 | 0.2501 million USD per square kilometre | +9.7% |
| 2016 | 0.2736 million USD per square kilometre | +9.4% |
| 2017 | 0.2876 million USD per square kilometre | +5.1% |
| 2018 | 0.3032 million USD per square kilometre | +5.4% |
| 2019 | 0.3215 million USD per square kilometre | +6.1% |
| 2020 | 0.3444 million USD per square kilometre | +7.1% |
| 2021 | 0.3708 million USD per square kilometre | +7.7% |
| 2022 | 0.3728 million USD per square kilometre | +0.5% |
| 2023 | 0.3576 million USD per square kilometre | -4.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.0273 million USD per square kilometre | 0.0158 million USD per square kilometre | 0.0418 million USD per square kilometre | 10 |
| 1980s | 0.0502 million USD per square kilometre | 0.0394 million USD per square kilometre | 0.0635 million USD per square kilometre | 10 |
| 1990s | 0.0721 million USD per square kilometre | 0.0615 million USD per square kilometre | 0.0868 million USD per square kilometre | 10 |
| 2000s | 0.0977 million USD per square kilometre | 0.0795 million USD per square kilometre | 0.1399 million USD per square kilometre | 10 |
| 2010s | 0.2368 million USD per square kilometre | 0.1581 million USD per square kilometre | 0.3215 million USD per square kilometre | 10 |
| 2020s | 0.3614 million USD per square kilometre | 0.3444 million USD per square kilometre | 0.3728 million USD per square kilometre | 4 |
Countries ranked near Bangladesh
- 1 Maldives 1.13 million USD per square kilometre compare
- 2 Malta 0.4731 million USD per square kilometre compare
- 3 Bermuda 0.3851 million USD per square kilometre compare
- 5 Marshall Islands 0.2993 million USD per square kilometre compare
- 6 Barbados 0.2898 million USD per square kilometre compare
- 7 Mauritius 0.2767 million USD per square kilometre compare
More environment data for Bangladesh
- Historical exposure to drought — Land soil moisture anomaly -2.59 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -2.3 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.236 °C (2025)
- Temperature change 1.67 °C (2025)
- Land area equipped for irrigation — Area, annual growth rate 0 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 13.03 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 0.0322 million SLC per person (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, annual 3.94 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, per unit 0 million USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, per in Bangladesh?
- Value added (agriculture, forestry and fishing) — value us$, per in Bangladesh was 0.3576 million USD per square kilometre in 2023, according to Statizoid (derived).
- What is the highest value added (agriculture, forestry and fishing) — value us$, per recorded in Bangladesh?
- The highest recorded value was 0.3728 million USD per square kilometre in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, per recorded in Bangladesh?
- The lowest recorded value was 0.0158 million USD per square kilometre in 1971.
- How does Bangladesh rank for value added (agriculture, forestry and fishing) — value us$, per?
- Bangladesh ranks 4th out of 180 countries with data for 2023.
- Is value added (agriculture, forestry and fishing) — value us$, per rising or falling in Bangladesh?
- Over the last ten years it is up 77.7%. The long-run trend across the full record is volatile.
- Where does this Bangladesh data come from?
- The figures come from Statizoid (derived), published as part of Value Added (Agriculture, Forestry and Fishing) — Value US$, per square kilometre. Statizoid updates them automatically from the source API.
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How this figure is calculated
Value Added (Agriculture, Forestry and Fishing) — Value US$ divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Value Added (Agriculture, Forestry and Fishing) — Value US$ ÷ Land area (sq. km)
Computed from
- Value Added (Agriculture, Forestry and Fishing) — Value US$ Food and Agriculture Organization of the United Nations
- Land area FAOSTAT, Food and Agriculture Organization of the United Nations (FAO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Value Added (Agriculture, Forestry and Fishing) — Value US$ divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.