Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 in Bangladesh
Bangladesh: Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 was 60,586 million USD in 2023. ▲ Rising
Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 in Bangladesh, 2016–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for gross output (agriculture, forestry and fishing) — value us$, 2015 in Bangladesh is 60,586 million USD, measured in 2023. That is the highest value across all 8 years on record.
Compared with earlier readings it is up 3.3% on the previous year and up 23.7% over ten years.
Bangladesh ranks 12th of 106 countries on this measure, in the top quarter.
Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 in Bangladesh, year by year
| Year | million USD | Change |
|---|---|---|
| 2016 | 48,994 million USD | — |
| 2017 | 50,464 million USD | +3.0% |
| 2018 | 52,223 million USD | +3.5% |
| 2019 | 53,786 million USD | +3.0% |
| 2020 | 55,376 million USD | +3.0% |
| 2021 | 57,102 million USD | +3.1% |
| 2022 | 58,669 million USD | +2.7% |
| 2023 | 60,586 million USD | +3.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 51,367 million USD | 48,994 million USD | 53,786 million USD | 4 |
| 2020s | 57,933 million USD | 55,376 million USD | 60,586 million USD | 4 |
Countries ranked near Bangladesh
- 9 Mexico 65,860 million USD compare
- 10 Germany 64,697 million USD compare
- 11 Spain 63,932 million USD compare
- 13 Uzbekistan 55,867 million USD compare
- 14 Republic of Korea 51,427 million USD compare
- 15 Philippines 44,266 million USD
More environment data for Bangladesh
- Historical exposure to drought — Land soil moisture anomaly -2.59 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -2.3 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.236 °C (2025)
- Temperature change 1.67 °C (2025)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 0 m3 per person (2024)
- Sawnwood — Export value, annual growth rate -44.83 % change on previous year (2024)
- Sawnwood — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood — Export value, per capita 0 1000 USD per person (2024)
Frequently asked questions
- What is gross output (agriculture, forestry and fishing) — value us$, 2015 in Bangladesh?
- Gross output (agriculture, forestry and fishing) — value us$, 2015 in Bangladesh was 60,586 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross output (agriculture, forestry and fishing) — value us$, 2015 recorded in Bangladesh?
- The highest recorded value was 60,586 million USD in 2023.
- What is the lowest gross output (agriculture, forestry and fishing) — value us$, 2015 recorded in Bangladesh?
- The lowest recorded value was 48,994 million USD in 2016.
- How does Bangladesh rank for gross output (agriculture, forestry and fishing) — value us$, 2015?
- Bangladesh ranks 12th out of 106 countries with data for 2023.
- Is gross output (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Bangladesh?
- Over the last ten years it is up 23.7%. The long-run trend across the full record is rising.
- Where does this Bangladesh data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.
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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).