Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Southern Asia

Southern Asia: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 725,499 million USD in 2024. ▲ Rising

Latest (2024)
725,499 million USD
Change on year
up 4.5%
Rank
3rd
of 29 groups
All-time high
725,499 million USD
in 2024
All-time low
145,273 million USD
in 1972
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Southern Asia, 1970–2024

200.0k400.0k600.0k800.0k197019972024

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 Southern Asia stood at 725,499 million USD. That is the highest value across all 55 years on record.

Compared with earlier readings it is up 4.5% on the previous year and up 44.1% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Southern Asia peaked at 725,499 million USD in 2024 and was at its lowest, 145,273 million USD, in 1972.

That places Southern Asia 3rd out of 29 groups with data for 2024, putting it in the top 10%.

The long-run direction has been consistently rising across the 55 years of available data.

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Southern Asia, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Southern Asia, 1970 to 2024.
Year million USD Change
1970 153,829 million USD
1971 150,532 million USD -2.1%
1972 145,273 million USD -3.5%
1973 153,935 million USD +6.0%
1974 154,211 million USD +0.2%
1975 168,705 million USD +9.4%
1976 164,684 million USD -2.4%
1977 174,951 million USD +6.2%
1978 180,387 million USD +3.1%
1979 165,334 million USD -8.3%
1980 181,421 million USD +9.7%
1981 190,940 million USD +5.2%
1982 191,329 million USD +0.2%
1983 208,071 million USD +8.8%
1984 208,469 million USD +0.2%
1985 212,603 million USD +2.0%
1986 212,713 million USD +0.1%
1987 212,591 million USD -0.1%
1988 236,759 million USD +11.4%
1989 241,783 million USD +2.1%
1990 249,549 million USD +3.2%
1991 248,956 million USD -0.2%
1992 265,288 million USD +6.6%
1993 270,627 million USD +2.0%
1994 282,383 million USD +4.3%
1995 284,867 million USD +0.9%
1996 308,094 million USD +8.2%
1997 303,874 million USD -1.4%
1998 323,457 million USD +6.4%
1999 325,359 million USD +0.6%
2000 330,713 million USD +1.6%
2001 345,109 million USD +4.4%
2002 332,904 million USD -3.5%
2003 359,500 million USD +8.0%
2004 361,514 million USD +0.6%
2005 381,335 million USD +5.5%
2006 393,712 million USD +3.2%
2007 413,484 million USD +5.0%
2008 406,694 million USD -1.6%
2009 410,725 million USD +1.0%
2010 438,302 million USD +6.7%
2011 462,433 million USD +5.5%
2012 472,916 million USD +2.3%
2013 496,932 million USD +5.1%
2014 503,389 million USD +1.3%
2015 509,059 million USD +1.1%
2016 536,645 million USD +5.4%
2017 565,652 million USD +5.4%
2018 577,500 million USD +2.1%
2019 610,126 million USD +5.6%
2020 633,447 million USD +3.8%
2021 656,264 million USD +3.6%
2022 682,878 million USD +4.1%
2023 694,184 million USD +1.7%
2024 725,499 million USD +4.5%

Averages by decade

DecadeAverage LowestHighest Years
1970s 161,184 million USD 145,273 million USD 180,387 million USD 10
1980s 209,668 million USD 181,421 million USD 241,783 million USD 10
1990s 286,245 million USD 248,956 million USD 325,359 million USD 10
2000s 373,569 million USD 330,713 million USD 413,484 million USD 10
2010s 517,295 million USD 438,302 million USD 610,126 million USD 10
2020s 678,454 million USD 633,447 million USD 725,499 million USD 5

Countries ranked near Southern Asia

  1. 1 China, mainland 1.38 million million USD compare
  2. 2 India 517,972 million USD compare
  3. 3 Indonesia 145,191 million USD compare
  4. 3 Türkiye 69,137 million USD compare
  5. 4 Nigeria 124,966 million USD compare
  6. 5 USSR 121,217 million USD compare
  7. 5 Viet Nam 46,035 million USD compare
  8. 6 Brazil 99,335 million USD compare

See the full ranking of 249 places →

More environment data for Southern Asia

All data for Southern Asia →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value us$, 2015 in Southern Asia?
Value added (agriculture, forestry and fishing) — value us$, 2015 in Southern Asia was 725,499 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$, 2015 recorded in Southern Asia?
The highest recorded value was 725,499 million USD in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Southern Asia?
The lowest recorded value was 145,273 million USD in 1972.
How does Southern Asia rank for value added (agriculture, forestry and fishing) — value us$, 2015?
Southern Asia ranks 3rd out of 29 groups with data for 2024.
Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Southern Asia?
Over the last ten years it is up 44.1%. The long-run trend across the full record is rising.
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$, 2015 prices. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Southern Asia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 September 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us-2015-prices/southern-asia/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
249 places, 12,769 data points, 1970–2024
Last refreshed

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).