Value Added (Agriculture, Forestry and Fishing) — Value Standard in Bangladesh
Bangladesh: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 38.02 million SLC per square kilometre in 2023. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Bangladesh, 1970–2023
Source: Statizoid (derived). Measured in million SLC per square kilometre.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Bangladesh is 38.02 million SLC per square kilometre, measured in 2023. That is the highest value across all 54 years on record.
That represents a change of up 11.2% on the previous year and up 141.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Bangladesh peaked at 38.02 million SLC per square kilometre in 2023 and was at its lowest, 0.1241 million SLC per square kilometre, in 1971.
That places Bangladesh 16th out of 180 countries with data for 2023, putting it 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 Standard in Bangladesh, year by year
| Year | million SLC per square kilometre | Change |
|---|---|---|
| 1970 | 0.1363 million SLC per square kilometre | — |
| 1971 | 0.1241 million SLC per square kilometre | -9.0% |
| 1972 | 0.1301 million SLC per square kilometre | +4.9% |
| 1973 | 0.2062 million SLC per square kilometre | +58.5% |
| 1974 | 0.3226 million SLC per square kilometre | +56.4% |
| 1975 | 0.615 million SLC per square kilometre | +90.6% |
| 1976 | 0.4585 million SLC per square kilometre | -25.4% |
| 1977 | 0.4446 million SLC per square kilometre | -3.0% |
| 1978 | 0.5752 million SLC per square kilometre | +29.4% |
| 1979 | 0.6505 million SLC per square kilometre | +13.1% |
| 1980 | 0.6744 million SLC per square kilometre | +3.7% |
| 1981 | 0.7911 million SLC per square kilometre | +17.3% |
| 1982 | 0.8725 million SLC per square kilometre | +10.3% |
| 1983 | 0.9812 million SLC per square kilometre | +12.5% |
| 1984 | 1.24 million SLC per square kilometre | +26.1% |
| 1985 | 1.42 million SLC per square kilometre | +14.6% |
| 1986 | 1.57 million SLC per square kilometre | +10.8% |
| 1987 | 1.83 million SLC per square kilometre | +16.7% |
| 1988 | 1.93 million SLC per square kilometre | +5.4% |
| 1989 | 2.05 million SLC per square kilometre | +5.9% |
| 1990 | 2.27 million SLC per square kilometre | +10.8% |
| 1991 | 2.51 million SLC per square kilometre | +10.6% |
| 1992 | 2.61 million SLC per square kilometre | +3.9% |
| 1993 | 2.43 million SLC per square kilometre | -6.6% |
| 1994 | 2.57 million SLC per square kilometre | +5.6% |
| 1995 | 2.97 million SLC per square kilometre | +15.4% |
| 1996 | 3.15 million SLC per square kilometre | +6.1% |
| 1997 | 3.43 million SLC per square kilometre | +9.0% |
| 1998 | 3.77 million SLC per square kilometre | +9.7% |
| 1999 | 4.26 million SLC per square kilometre | +13.2% |
| 2000 | 4.48 million SLC per square kilometre | +5.2% |
| 2001 | 4.54 million SLC per square kilometre | +1.1% |
| 2002 | 4.6 million SLC per square kilometre | +1.5% |
| 2003 | 4.84 million SLC per square kilometre | +5.3% |
| 2004 | 5.16 million SLC per square kilometre | +6.6% |
| 2005 | 5.5 million SLC per square kilometre | +6.6% |
| 2006 | 6.68 million SLC per square kilometre | +21.4% |
| 2007 | 7.63 million SLC per square kilometre | +14.1% |
| 2008 | 8.74 million SLC per square kilometre | +14.6% |
| 2009 | 9.66 million SLC per square kilometre | +10.5% |
| 2010 | 11.01 million SLC per square kilometre | +14.0% |
| 2011 | 12.67 million SLC per square kilometre | +15.1% |
| 2012 | 14.25 million SLC per square kilometre | +12.4% |
| 2013 | 15.72 million SLC per square kilometre | +10.3% |
| 2014 | 17.7 million SLC per square kilometre | +12.6% |
| 2015 | 19.5 million SLC per square kilometre | +10.1% |
| 2016 | 21.47 million SLC per square kilometre | +10.1% |
| 2017 | 23.14 million SLC per square kilometre | +7.7% |
| 2018 | 25.3 million SLC per square kilometre | +9.4% |
| 2019 | 27.15 million SLC per square kilometre | +7.3% |
| 2020 | 29.23 million SLC per square kilometre | +7.6% |
| 2021 | 31.55 million SLC per square kilometre | +7.9% |
| 2022 | 34.2 million SLC per square kilometre | +8.4% |
| 2023 | 38.02 million SLC per square kilometre | +11.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0.3663 million SLC per square kilometre | 0.1241 million SLC per square kilometre | 0.6505 million SLC per square kilometre | 10 |
| 1980s | 1.34 million SLC per square kilometre | 0.6744 million SLC per square kilometre | 2.05 million SLC per square kilometre | 10 |
| 1990s | 3 million SLC per square kilometre | 2.27 million SLC per square kilometre | 4.26 million SLC per square kilometre | 10 |
| 2000s | 6.18 million SLC per square kilometre | 4.48 million SLC per square kilometre | 9.66 million SLC per square kilometre | 10 |
| 2010s | 18.79 million SLC per square kilometre | 11.01 million SLC per square kilometre | 27.15 million SLC per square kilometre | 10 |
| 2020s | 33.25 million SLC per square kilometre | 29.23 million SLC per square kilometre | 38.02 million SLC per square kilometre | 4 |
Countries ranked near Bangladesh
- 13 Nigeria 58.49 million SLC per square kilometre compare
- 14 Myanmar 42.61 million SLC per square kilometre compare
- 15 Malawi 40.53 million SLC per square kilometre compare
- 17 Sri Lanka 36.99 million SLC per square kilometre compare
- 18 Costa Rica 35.03 million SLC per square kilometre compare
- 19 Armenia 28.43 million SLC 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 standard in Bangladesh?
- Value added (agriculture, forestry and fishing) — value standard in Bangladesh was 38.02 million SLC per square kilometre in 2023, according to Statizoid (derived).
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Bangladesh?
- The highest recorded value was 38.02 million SLC per square kilometre in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Bangladesh?
- The lowest recorded value was 0.1241 million SLC per square kilometre in 1971.
- How does Bangladesh rank for value added (agriculture, forestry and fishing) — value standard?
- Bangladesh ranks 16th out of 180 countries with data for 2023.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Bangladesh?
- Over the last ten years it is up 141.8%. 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 Standard Local Currency, per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 54 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency 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 Standard Local Currency ÷ Land area (sq. km)
Computed from
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 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 Standard Local Currency 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.