Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Bangladesh
Bangladesh: Value Added Deflator (Agriculture, forestry and fishery) — Value US$ was 0.6171 % change on previous year in 2024. ◆ Volatile
Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Bangladesh, 1971–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
In 2024, value added deflator (agriculture, forestry and fishery) — value us$ in Bangladesh stood at 0.6171 % change on previous year.
Compared with earlier readings it is up 108.3% on the previous year and down 91.2% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value us$ in Bangladesh peaked at 45.68 % change on previous year in 1972 and was at its lowest, -13.55 % change on previous year, in 1976.
That places Bangladesh 142nd out of 219 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Bangladesh, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1971 | -11.82 % change on previous year | — |
| 1972 | 45.68 % change on previous year | -486.4% |
| 1973 | 3.27 % change on previous year | -92.8% |
| 1974 | 15.53 % change on previous year | +374.4% |
| 1975 | 27.5 % change on previous year | +77.1% |
| 1976 | -13.55 % change on previous year | -149.3% |
| 1977 | 0.7942 % change on previous year | -105.9% |
| 1978 | 22.86 % change on previous year | +2778.6% |
| 1979 | 9.91 % change on previous year | -56.6% |
| 1980 | 4.17 % change on previous year | -57.9% |
| 1981 | -3.26 % change on previous year | -178.1% |
| 1982 | -10.45 % change on previous year | +220.7% |
| 1983 | -3.07 % change on previous year | -70.7% |
| 1984 | 18.17 % change on previous year | -692.6% |
| 1985 | 3.12 % change on previous year | -82.8% |
| 1986 | -1.2 % change on previous year | -138.6% |
| 1987 | 14.15 % change on previous year | -1276.6% |
| 1988 | 3.59 % change on previous year | -74.6% |
| 1989 | 5.3 % change on previous year | +47.8% |
| 1990 | -6.01 % change on previous year | -213.4% |
| 1991 | 2.82 % change on previous year | -146.8% |
| 1992 | -4.44 % change on previous year | -257.7% |
| 1993 | -10.34 % change on previous year | +133.0% |
| 1994 | 3.08 % change on previous year | -129.8% |
| 1995 | 15.55 % change on previous year | +405.2% |
| 1996 | -0.8387 % change on previous year | -105.4% |
| 1997 | -2.06 % change on previous year | +145.3% |
| 1998 | -0.5512 % change on previous year | -73.2% |
| 1999 | 3.27 % change on previous year | -692.5% |
| 2000 | -7.76 % change on previous year | -337.7% |
| 2001 | -8.37 % change on previous year | +7.8% |
| 2002 | -2.19 % change on previous year | -73.8% |
| 2003 | 1.67 % change on previous year | -176.1% |
| 2004 | 0.0429 % change on previous year | -97.4% |
| 2005 | -3.53 % change on previous year | -8321.6% |
| 2006 | 8 % change on previous year | -326.8% |
| 2007 | 5.58 % change on previous year | -30.3% |
| 2008 | 8.57 % change on previous year | +53.6% |
| 2009 | 4.7 % change on previous year | -45.2% |
| 2010 | 4.99 % change on previous year | +6.2% |
| 2011 | 2.1 % change on previous year | -58.0% |
| 2012 | -2.5 % change on previous year | -219.2% |
| 2013 | 11.31 % change on previous year | -552.5% |
| 2014 | 7.03 % change on previous year | -37.8% |
| 2015 | 4.72 % change on previous year | -32.9% |
| 2016 | 4.97 % change on previous year | +5.3% |
| 2017 | 1.86 % change on previous year | -62.6% |
| 2018 | 1.79 % change on previous year | -3.5% |
| 2019 | 2.7 % change on previous year | +50.9% |
| 2020 | 3.57 % change on previous year | +32.0% |
| 2021 | 4.36 % change on previous year | +22.2% |
| 2022 | -2.37 % change on previous year | -154.3% |
| 2023 | -7.4 % change on previous year | +212.6% |
| 2024 | 0.6171 % change on previous year | -108.3% |
Biggest year-on-year movements
Years where Value Added Deflator (Agriculture, forestry and fishery) — Value US$ 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 |
|---|---|---|---|
| 2005 | -8321.6% | 0.0429 % change on previous year | -3.53 % change on previous year |
| 1978 | +2778.6% | 0.7942 % change on previous year | 22.86 % change on previous year |
| 1987 | +1276.6% | -1.2 % change on previous year | 14.15 % change on previous year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 11.13 % change on previous year | -13.55 % change on previous year | 45.68 % change on previous year | 9 |
| 1980s | 3.05 % change on previous year | -10.45 % change on previous year | 18.17 % change on previous year | 10 |
| 1990s | 0.0472 % change on previous year | -10.34 % change on previous year | 15.55 % change on previous year | 10 |
| 2000s | 0.6702 % change on previous year | -8.37 % change on previous year | 8.57 % change on previous year | 10 |
| 2010s | 3.9 % change on previous year | -2.5 % change on previous year | 11.31 % change on previous year | 10 |
| 2020s | -0.2453 % change on previous year | -7.4 % change on previous year | 4.36 % change on previous year | 5 |
Countries ranked near Bangladesh
- 139 United Arab Emirates 1.01 % change on previous year compare
- 140 Eritrea 0.9311 % change on previous year compare
- 141 Saint Kitts and Nevis 0.8107 % change on previous year compare
- 143 Tunisia 0.6132 % change on previous year compare
- 144 Democratic People's Republic of Korea 0.3751 % change on previous year compare
- 145 French Polynesia 0.1502 % change on previous year 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)
- 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 deflator (agriculture, forestry and fishery) — value us$ in Bangladesh?
- Value added deflator (agriculture, forestry and fishery) — value us$ in Bangladesh was 0.6171 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest value added deflator (agriculture, forestry and fishery) — value us$ recorded in Bangladesh?
- The highest recorded value was 45.68 % change on previous year in 1972.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value us$ recorded in Bangladesh?
- The lowest recorded value was -13.55 % change on previous year in 1976.
- How does Bangladesh rank for value added deflator (agriculture, forestry and fishery) — value us$?
- Bangladesh ranks 142nd out of 219 countries with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value us$ rising or falling in Bangladesh?
- Over the last ten years it is down 91.2%. 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 Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 54 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Value Added Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Value Added Deflator (Agriculture, forestry and fishery) — Value US$ Food and Agriculture Organization of the United Nations
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
The year-on-year percentage change in Value Added Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.