Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Bangladesh
Bangladesh: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 43,966 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Bangladesh, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in Bangladesh stood at 43,966 million USD. That is the highest value across all 55 years on record.
That represents a change of up 3.3% on the previous year and up 41.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Bangladesh peaked at 43,966 million USD in 2024 and was at its lowest, 8,449 million USD, in 1972.
That places Bangladesh 13th out of 200 countries with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Bangladesh, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 9,909 million USD | — |
| 1971 | 9,462 million USD | -4.5% |
| 1972 | 8,449 million USD | -10.7% |
| 1973 | 8,472 million USD | +0.3% |
| 1974 | 9,018 million USD | +6.4% |
| 1975 | 8,606 million USD | -4.6% |
| 1976 | 9,328 million USD | +8.4% |
| 1977 | 8,987 million USD | -3.7% |
| 1978 | 9,691 million USD | +7.8% |
| 1979 | 9,627 million USD | -0.7% |
| 1980 | 9,642 million USD | +0.2% |
| 1981 | 10,045 million USD | +4.2% |
| 1982 | 10,061 million USD | +0.2% |
| 1983 | 10,487 million USD | +4.2% |
| 1984 | 10,865 million USD | +3.6% |
| 1985 | 10,940 million USD | +0.7% |
| 1986 | 11,299 million USD | +3.3% |
| 1987 | 11,344 million USD | +0.4% |
| 1988 | 11,257 million USD | -0.8% |
| 1989 | 11,137 million USD | -1.1% |
| 1990 | 12,252 million USD | +10.0% |
| 1991 | 12,449 million USD | +1.6% |
| 1992 | 12,722 million USD | +2.2% |
| 1993 | 13,044 million USD | +2.5% |
| 1994 | 13,154 million USD | +0.8% |
| 1995 | 13,114 million USD | -0.3% |
| 1996 | 13,521 million USD | +3.1% |
| 1997 | 14,332 million USD | +6.0% |
| 1998 | 14,790 million USD | +3.2% |
| 1999 | 15,492 million USD | +4.7% |
| 2000 | 16,635 million USD | +7.4% |
| 2001 | 17,157 million USD | +3.1% |
| 2002 | 17,158 million USD | +0.0% |
| 2003 | 17,686 million USD | +3.1% |
| 2004 | 18,409 million USD | +4.1% |
| 2005 | 18,815 million USD | +2.2% |
| 2006 | 19,744 million USD | +4.9% |
| 2007 | 21,359 million USD | +8.2% |
| 2008 | 22,630 million USD | +5.9% |
| 2009 | 23,741 million USD | +4.9% |
| 2010 | 25,552 million USD | +7.6% |
| 2011 | 27,063 million USD | +5.9% |
| 2012 | 28,267 million USD | +4.4% |
| 2013 | 29,367 million USD | +3.9% |
| 2014 | 31,078 million USD | +5.8% |
| 2015 | 32,560 million USD | +4.8% |
| 2016 | 33,933 million USD | +4.2% |
| 2017 | 35,018 million USD | +3.2% |
| 2018 | 36,259 million USD | +3.5% |
| 2019 | 37,441 million USD | +3.3% |
| 2020 | 38,722 million USD | +3.4% |
| 2021 | 39,952 million USD | +3.2% |
| 2022 | 41,172 million USD | +3.1% |
| 2023 | 42,560 million USD | +3.4% |
| 2024 | 43,966 million USD | +3.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 9,155 million USD | 8,449 million USD | 9,909 million USD | 10 |
| 1980s | 10,707 million USD | 9,642 million USD | 11,344 million USD | 10 |
| 1990s | 13,487 million USD | 12,252 million USD | 15,492 million USD | 10 |
| 2000s | 19,333 million USD | 16,635 million USD | 23,741 million USD | 10 |
| 2010s | 31,654 million USD | 25,552 million USD | 37,441 million USD | 10 |
| 2020s | 41,274 million USD | 38,722 million USD | 43,966 million USD | 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)
- Plywood and LVL — Import quantity, annual growth rate -40.52 % change on previous year (2024)
- Plywood and LVL — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Plywood and LVL — Import quantity, per capita 0 m3 per person (2024)
- Plywood and LVL — Import value, annual growth rate -36.92 % change on previous year (2024)
- Plywood and LVL — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Bangladesh?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Bangladesh was 43,966 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Bangladesh?
- The highest recorded value was 43,966 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Bangladesh?
- The lowest recorded value was 8,449 million USD in 1972.
- How does Bangladesh rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Bangladesh ranks 13th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Bangladesh?
- Over the last ten years it is up 41.5%. 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 Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).