Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in South-Eastern Asia
South-Eastern Asia: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 319,005 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in South-Eastern Asia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value us$, 2015 in South-Eastern Asia is 319,005 million USD, measured in 2024. That is the highest value across all 55 years on record.
That represents a change of up 0.5% on the previous year and up 20.0% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in South-Eastern Asia peaked at 319,005 million USD in 2024 and was at its lowest, 62,098 million USD, in 1970.
That places South-Eastern Asia 8th out of 29 groups with data for 2024, putting it in the top quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in South-Eastern Asia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 62,098 million USD | — |
| 1971 | 65,526 million USD | +5.5% |
| 1972 | 66,891 million USD | +2.1% |
| 1973 | 71,697 million USD | +7.2% |
| 1974 | 73,368 million USD | +2.3% |
| 1975 | 74,054 million USD | +0.9% |
| 1976 | 79,350 million USD | +7.2% |
| 1977 | 81,649 million USD | +2.9% |
| 1978 | 85,877 million USD | +5.2% |
| 1979 | 88,493 million USD | +3.0% |
| 1980 | 91,400 million USD | +3.3% |
| 1981 | 95,891 million USD | +4.9% |
| 1982 | 98,849 million USD | +3.1% |
| 1983 | 100,537 million USD | +1.7% |
| 1984 | 104,300 million USD | +3.7% |
| 1985 | 107,576 million USD | +3.1% |
| 1986 | 110,392 million USD | +2.6% |
| 1987 | 113,086 million USD | +2.4% |
| 1988 | 118,376 million USD | +4.7% |
| 1989 | 125,303 million USD | +5.9% |
| 1990 | 126,429 million USD | +0.9% |
| 1991 | 129,844 million USD | +2.7% |
| 1992 | 136,823 million USD | +5.4% |
| 1993 | 138,885 million USD | +1.5% |
| 1994 | 141,988 million USD | +2.2% |
| 1995 | 145,725 million USD | +2.6% |
| 1996 | 151,407 million USD | +3.9% |
| 1997 | 153,770 million USD | +1.6% |
| 1998 | 152,130 million USD | -1.1% |
| 1999 | 158,383 million USD | +4.1% |
| 2000 | 164,723 million USD | +4.0% |
| 2001 | 169,904 million USD | +3.1% |
| 2002 | 174,876 million USD | +2.9% |
| 2003 | 185,189 million USD | +5.9% |
| 2004 | 190,977 million USD | +3.1% |
| 2005 | 197,031 million USD | +3.2% |
| 2006 | 205,780 million USD | +4.4% |
| 2007 | 213,483 million USD | +3.7% |
| 2008 | 222,842 million USD | +4.4% |
| 2009 | 227,941 million USD | +2.3% |
| 2010 | 233,375 million USD | +2.4% |
| 2011 | 243,100 million USD | +4.2% |
| 2012 | 251,271 million USD | +3.4% |
| 2013 | 258,739 million USD | +3.0% |
| 2014 | 265,905 million USD | +2.8% |
| 2015 | 269,740 million USD | +1.4% |
| 2016 | 272,556 million USD | +1.0% |
| 2017 | 283,237 million USD | +3.9% |
| 2018 | 289,396 million USD | +2.2% |
| 2019 | 295,865 million USD | +2.2% |
| 2020 | 297,766 million USD | +0.6% |
| 2021 | 306,475 million USD | +2.9% |
| 2022 | 312,776 million USD | +2.1% |
| 2023 | 317,263 million USD | +1.4% |
| 2024 | 319,005 million USD | +0.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 74,900 million USD | 62,098 million USD | 88,493 million USD | 10 |
| 1980s | 106,571 million USD | 91,400 million USD | 125,303 million USD | 10 |
| 1990s | 143,538 million USD | 126,429 million USD | 158,383 million USD | 10 |
| 2000s | 195,275 million USD | 164,723 million USD | 227,941 million USD | 10 |
| 2010s | 266,318 million USD | 233,375 million USD | 295,865 million USD | 10 |
| 2020s | 310,657 million USD | 297,766 million USD | 319,005 million USD | 5 |
Countries ranked near South-Eastern Asia
More environment data for South-Eastern Asia
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Land soil moisture anomaly 1.01 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 1.59 Percentage change (2025)
- Standard Deviation 0.195 °C (2025)
- Temperature change 1.1 °C (2025)
- Recovered paper — Production 10.49 million t (2024)
- Total fibre furnish — Production 22.16 million t (2024)
- Nutrient nitrogen N (total) — Use per area of cropland 54.39 kg/ha (2024)
- Nutrient nitrogen N (total) — Use per capita 11.54 kg/cap (2024)
- Nutrient potash K2O (total) — Use per capita 6.08 kg/cap (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in South-Eastern Asia?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in South-Eastern Asia was 319,005 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$, 2015 recorded in South-Eastern Asia?
- The highest recorded value was 319,005 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in South-Eastern Asia?
- The lowest recorded value was 62,098 million USD in 1970.
- How does South-Eastern Asia rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- South-Eastern Asia ranks 8th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in South-Eastern Asia?
- Over the last ten years it is up 20.0%. The long-run trend across the full record is rising.
- Where does this South-Eastern 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.
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).