Value Added (Agriculture, Forestry and Fishing) — Value Standard in Bangladesh
Bangladesh: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 0 million SLC per US$ of GDP in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Bangladesh, 1970–2024
Source: Statizoid (derived). Measured in million SLC per US$ of GDP.
Analysis
Bangladesh recorded 0 million SLC per US$ of GDP for value added (agriculture, forestry and fishing) — value standard in 2024.
The figure is up 9.8% on the previous year and down 6.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Bangladesh peaked at 0 million SLC per US$ of GDP in 2012 and was at its lowest, 0 million SLC per US$ of GDP, in 1971.
Bangladesh ranks 55th of 179 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Bangladesh, year by year
| Year | million SLC per US$ of GDP | Change |
|---|---|---|
| 1970 | 0 million SLC per US$ of GDP | — |
| 1971 | 0 million SLC per US$ of GDP | -6.5% |
| 1972 | 0 million SLC per US$ of GDP | +46.0% |
| 1973 | 0 million SLC per US$ of GDP | +23.2% |
| 1974 | 0 million SLC per US$ of GDP | +1.1% |
| 1975 | 0 million SLC per US$ of GDP | +22.7% |
| 1976 | 0 million SLC per US$ of GDP | +43.3% |
| 1977 | 0 million SLC per US$ of GDP | +1.6% |
| 1978 | 0 million SLC per US$ of GDP | -6.0% |
| 1979 | 0 million SLC per US$ of GDP | -3.5% |
| 1980 | 0 million SLC per US$ of GDP | -11.0% |
| 1981 | 0 million SLC per US$ of GDP | +5.1% |
| 1982 | 0 million SLC per US$ of GDP | +20.6% |
| 1983 | 0 million SLC per US$ of GDP | +18.3% |
| 1984 | 0 million SLC per US$ of GDP | +17.4% |
| 1985 | 0 million SLC per US$ of GDP | -2.6% |
| 1986 | 0 million SLC per US$ of GDP | +13.4% |
| 1987 | 0 million SLC per US$ of GDP | +4.5% |
| 1988 | 0 million SLC per US$ of GDP | -3.6% |
| 1989 | 0 million SLC per US$ of GDP | -2.2% |
| 1990 | 0 million SLC per US$ of GDP | +0.9% |
| 1991 | 0 million SLC per US$ of GDP | +12.9% |
| 1992 | 0 million SLC per US$ of GDP | +1.5% |
| 1993 | 0 million SLC per US$ of GDP | -10.7% |
| 1994 | 0 million SLC per US$ of GDP | +3.8% |
| 1995 | 0 million SLC per US$ of GDP | +2.7% |
| 1996 | 0 million SLC per US$ of GDP | -13.3% |
| 1997 | 0 million SLC per US$ of GDP | +4.9% |
| 1998 | 0 million SLC per US$ of GDP | +5.9% |
| 1999 | 0 million SLC per US$ of GDP | +10.4% |
| 2000 | 0 million SLC per US$ of GDP | +1.1% |
| 2001 | 0 million SLC per US$ of GDP | -0.0% |
| 2002 | 0 million SLC per US$ of GDP | +0.1% |
| 2003 | 0 million SLC per US$ of GDP | -4.2% |
| 2004 | 0 million SLC per US$ of GDP | -1.5% |
| 2005 | 0 million SLC per US$ of GDP | -0.1% |
| 2006 | 0 million SLC per US$ of GDP | +17.5% |
| 2007 | 0 million SLC per US$ of GDP | +2.9% |
| 2008 | 0 million SLC per US$ of GDP | -0.5% |
| 2009 | 0 million SLC per US$ of GDP | -1.2% |
| 2010 | 0 million SLC per US$ of GDP | +1.3% |
| 2011 | 0 million SLC per US$ of GDP | +3.2% |
| 2012 | 0 million SLC per US$ of GDP | +8.5% |
| 2013 | 0 million SLC per US$ of GDP | -1.9% |
| 2014 | 0 million SLC per US$ of GDP | -2.3% |
| 2015 | 0 million SLC per US$ of GDP | -2.4% |
| 2016 | 0 million SLC per US$ of GDP | -19.0% |
| 2017 | 0 million SLC per US$ of GDP | -2.7% |
| 2018 | 0 million SLC per US$ of GDP | -0.0% |
| 2019 | 0 million SLC per US$ of GDP | -1.8% |
| 2020 | 0 million SLC per US$ of GDP | +1.1% |
| 2021 | 0 million SLC per US$ of GDP | -3.0% |
| 2022 | 0 million SLC per US$ of GDP | -1.9% |
| 2023 | 0 million SLC per US$ of GDP | +16.7% |
| 2024 | 0 million SLC per US$ of GDP | +9.8% |
Bangladesh compared with similar countries
- Bangladesh's 0 million SLC per US$ of GDP is above the median for lower middle income countries, which is 0 million SLC per US$ of GDP, 1.0× the median. (41 countries reporting)
- Bangladesh's 0 million SLC per US$ of GDP is below the median for South Asia, which is 0 million SLC per US$ of GDP, 94% of the median. (6 countries reporting)
Biggest year-on-year movements
Years where Value Added (Agriculture, Forestry and Fishing) — Value Standard in Bangladesh changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1972 | +46.0% | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP |
| 1976 | +43.3% | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 10 |
| 1980s | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 10 |
| 1990s | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 10 |
| 2000s | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 10 |
| 2010s | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 10 |
| 2020s | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 0 million SLC per US$ of GDP | 5 |
Countries ranked near Bangladesh
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)
- Cooling Degree Days, annual growth rate -0.4328 % change on previous year (2024)
- Heating Degree Days, gaps filled 100.4 (2024)
- Heating Degree Days, per unit of GDP 0 units per US$ of GDP (2024)
- Heating Degree Days, per capita 0 units per person (2024)
- Value Added Deflator (Agriculture, forestry and fishery) — Value 9.41 % change on previous year (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 0 million SLC per US$ of GDP in 2024, according to Statizoid (derived).
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Bangladesh?
- The highest recorded value was 0 million SLC per US$ of GDP in 2012.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Bangladesh?
- The lowest recorded value was 0 million SLC per US$ of GDP in 1971.
- How does Bangladesh rank for value added (agriculture, forestry and fishing) — value standard?
- Bangladesh ranks 55th out of 179 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Bangladesh?
- Over the last ten years it is down 6.9%. The long-run trend across the full record is rising.
- 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 unit of GDP. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 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 GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency ÷ GDP (current US$)
Computed from
- Value Added (Agriculture, Forestry and Fishing) — Value Standard Food and Agriculture Organization of the United Nations
- GDP Country official statistics, National Statistical Organizations and/or Central Banks
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 GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.