Value Added (Agriculture, Forestry and Fishing) — Value US$ in Southern Asia
Southern Asia: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 849,692 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$ in Southern Asia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Southern Asia recorded 849,692 million USD for value added (agriculture, forestry and fishing) — value us$ in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 11.2% on the previous year and up 69.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Southern Asia peaked at 849,692 million USD in 2024 and was at its lowest, 36,117 million USD, in 1970.
Southern Asia ranks 3rd of 29 groups on this measure, 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$ in Southern Asia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 36,117 million USD | — |
| 1971 | 36,753 million USD | +1.8% |
| 1972 | 37,970 million USD | +3.3% |
| 1973 | 47,149 million USD | +24.2% |
| 1974 | 51,664 million USD | +9.6% |
| 1975 | 51,858 million USD | +0.4% |
| 1976 | 51,552 million USD | -0.6% |
| 1977 | 60,044 million USD | +16.5% |
| 1978 | 67,496 million USD | +12.4% |
| 1979 | 72,907 million USD | +8.0% |
| 1980 | 91,620 million USD | +25.7% |
| 1981 | 98,946 million USD | +8.0% |
| 1982 | 99,206 million USD | +0.3% |
| 1983 | 108,029 million USD | +8.9% |
| 1984 | 108,374 million USD | +0.3% |
| 1985 | 97,163 million USD | -10.3% |
| 1986 | 102,014 million USD | +5.0% |
| 1987 | 112,237 million USD | +10.0% |
| 1988 | 125,508 million USD | +11.8% |
| 1989 | 122,945 million USD | -2.0% |
| 1990 | 127,231 million USD | +3.5% |
| 1991 | 120,415 million USD | -5.4% |
| 1992 | 121,694 million USD | +1.1% |
| 1993 | 117,794 million USD | -3.2% |
| 1994 | 128,857 million USD | +9.4% |
| 1995 | 140,656 million USD | +9.2% |
| 1996 | 147,689 million USD | +5.0% |
| 1997 | 152,481 million USD | +3.2% |
| 1998 | 156,359 million USD | +2.5% |
| 1999 | 156,451 million USD | +0.1% |
| 2000 | 151,824 million USD | -3.0% |
| 2001 | 152,042 million USD | +0.1% |
| 2002 | 147,999 million USD | -2.7% |
| 2003 | 168,201 million USD | +13.7% |
| 2004 | 184,963 million USD | +10.0% |
| 2005 | 209,553 million USD | +13.3% |
| 2006 | 229,800 million USD | +9.7% |
| 2007 | 283,845 million USD | +23.5% |
| 2008 | 301,267 million USD | +6.1% |
| 2009 | 317,951 million USD | +5.5% |
| 2010 | 395,286 million USD | +24.3% |
| 2011 | 447,196 million USD | +13.1% |
| 2012 | 453,777 million USD | +1.5% |
| 2013 | 481,928 million USD | +6.2% |
| 2014 | 500,574 million USD | +3.9% |
| 2015 | 509,059 million USD | +1.7% |
| 2016 | 543,634 million USD | +6.8% |
| 2017 | 614,951 million USD | +13.1% |
| 2018 | 606,652 million USD | -1.3% |
| 2019 | 641,657 million USD | +5.8% |
| 2020 | 670,059 million USD | +4.4% |
| 2021 | 746,622 million USD | +11.4% |
| 2022 | 762,719 million USD | +2.2% |
| 2023 | 763,842 million USD | +0.1% |
| 2024 | 849,692 million USD | +11.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 51,351 million USD | 36,117 million USD | 72,907 million USD | 10 |
| 1980s | 106,604 million USD | 91,620 million USD | 125,508 million USD | 10 |
| 1990s | 136,963 million USD | 117,794 million USD | 156,451 million USD | 10 |
| 2000s | 214,744 million USD | 147,999 million USD | 317,951 million USD | 10 |
| 2010s | 519,471 million USD | 395,286 million USD | 641,657 million USD | 10 |
| 2020s | 758,587 million USD | 670,059 million USD | 849,692 million USD | 5 |
Countries ranked near Southern Asia
More environment data for Southern Asia
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 6.69 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly 0.4009 Percentage change (2025)
- Standard Deviation 0.274 °C (2025)
- Temperature change 1.44 °C (2025)
- Total fibre furnish — Production 15.39 million t (2024)
- Recovered paper — Production 8.45 million t (2024)
- Nutrient phosphate P2O5 (total) — Use per area of cropland 44.63 kg/ha (2024)
- Nutrient nitrogen N (total) — Use per capita 13.9 kg/cap (2024)
- Nutrient nitrogen N (total) — Use per value of agricultural production 38.89 g/Int$ (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$ in Southern Asia?
- Value added (agriculture, forestry and fishing) — value us$ in Southern Asia was 849,692 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$ recorded in Southern Asia?
- The highest recorded value was 849,692 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Southern Asia?
- The lowest recorded value was 36,117 million USD in 1970.
- How does Southern Asia rank for value added (agriculture, forestry and fishing) — value us$?
- Southern Asia ranks 3rd out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Southern Asia?
- Over the last ten years it is up 69.7%. The long-run trend across the full record is volatile.
- Where does this Southern Asia 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$. Statizoid updates them automatically from the source API.
Download this data
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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).