Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 in India
India: Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 was 553,344 million USD in 2020. ▲ Rising
Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 in India, 2011–2020
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
India recorded 553,344 million USD for gross output (agriculture, forestry and fishing) — value us$, 2015 in 2020. That is the highest value across all 10 years on record.
The figure is up 3.4% on the previous year and up 32.4% over ten years.
Over the whole period, gross output (agriculture, forestry and fishing) — value us$, 2015 in India peaked at 553,344 million USD in 2020 and was at its lowest, 417,905 million USD, in 2011.
That places India 1st out of 106 countries with data for 2020, putting it in the top 10%.
Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 in India, year by year
| Year | million USD | Change |
|---|---|---|
| 2011 | 417,905 million USD | — |
| 2012 | 429,349 million USD | +2.7% |
| 2013 | 453,695 million USD | +5.7% |
| 2014 | 449,882 million USD | -0.8% |
| 2015 | 450,790 million USD | +0.2% |
| 2016 | 477,469 million USD | +5.9% |
| 2017 | 494,605 million USD | +3.6% |
| 2018 | 506,570 million USD | +2.4% |
| 2019 | 535,297 million USD | +5.7% |
| 2020 | 553,344 million USD | +3.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 468,396 million USD | 417,905 million USD | 535,297 million USD | 9 |
| 2020s | 553,344 million USD | 553,344 million USD | 553,344 million USD | 1 |
Countries ranked near India
More environment data for India
- Historical exposure to drought — Land soil moisture anomaly 11.05 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 12.52 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.254 °C (2025)
- Temperature change 0.954 °C (2025)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Paper and paperboard — Import value, per capita 0.0017 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate 1.64 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.0012 t per person (2024)
Frequently asked questions
- What is gross output (agriculture, forestry and fishing) — value us$, 2015 in India?
- Gross output (agriculture, forestry and fishing) — value us$, 2015 in India was 553,344 million USD in 2020, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross output (agriculture, forestry and fishing) — value us$, 2015 recorded in India?
- The highest recorded value was 553,344 million USD in 2020.
- What is the lowest gross output (agriculture, forestry and fishing) — value us$, 2015 recorded in India?
- The lowest recorded value was 417,905 million USD in 2011.
- How does India rank for gross output (agriculture, forestry and fishing) — value us$, 2015?
- India ranks 1st out of 106 countries with data for 2020.
- Is gross output (agriculture, forestry and fishing) — value us$, 2015 rising or falling in India?
- Over the last ten years it is up 32.4%. The long-run trend across the full record is rising.
- Where does this India 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).