Value Added (Agriculture, Forestry and Fishing) — Value US$ in Asia
Asia: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 2.91 million million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$ in Asia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Asia recorded 2.91 million 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 6.7% on the previous year and up 47.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Asia peaked at 2.91 million million USD in 2024 and was at its lowest, 104,905 million USD, in 1970.
Asia ranks 2nd of 30 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 Asia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 104,905 million USD | — |
| 1971 | 106,945 million USD | +1.9% |
| 1972 | 118,440 million USD | +10.7% |
| 1973 | 151,136 million USD | +27.6% |
| 1974 | 170,827 million USD | +13.0% |
| 1975 | 182,347 million USD | +6.7% |
| 1976 | 188,945 million USD | +3.6% |
| 1977 | 211,497 million USD | +11.9% |
| 1978 | 247,332 million USD | +16.9% |
| 1979 | 282,258 million USD | +14.1% |
| 1980 | 301,712 million USD | +6.9% |
| 1981 | 317,595 million USD | +5.3% |
| 1982 | 316,261 million USD | -0.4% |
| 1983 | 330,993 million USD | +4.7% |
| 1984 | 335,991 million USD | +1.5% |
| 1985 | 311,534 million USD | -7.3% |
| 1986 | 327,809 million USD | +5.2% |
| 1987 | 358,435 million USD | +9.3% |
| 1988 | 410,487 million USD | +14.5% |
| 1989 | 425,452 million USD | +3.6% |
| 1990 | 434,685 million USD | +2.2% |
| 1991 | 443,249 million USD | +2.0% |
| 1992 | 459,955 million USD | +3.8% |
| 1993 | 477,034 million USD | +3.7% |
| 1994 | 496,906 million USD | +4.2% |
| 1995 | 558,220 million USD | +12.3% |
| 1996 | 591,767 million USD | +6.0% |
| 1997 | 576,126 million USD | -2.6% |
| 1998 | 553,460 million USD | -3.9% |
| 1999 | 569,727 million USD | +2.9% |
| 2000 | 566,836 million USD | -0.5% |
| 2001 | 546,074 million USD | -3.7% |
| 2002 | 568,506 million USD | +4.1% |
| 2003 | 617,779 million USD | +8.7% |
| 2004 | 705,383 million USD | +14.2% |
| 2005 | 758,853 million USD | +7.6% |
| 2006 | 829,285 million USD | +9.3% |
| 2007 | 1.00 million million USD | +20.6% |
| 2008 | 1.18 million million USD | +17.9% |
| 2009 | 1.23 million million USD | +4.5% |
| 2010 | 1.47 million million USD | +19.5% |
| 2011 | 1.73 million million USD | +17.3% |
| 2012 | 1.84 million million USD | +6.4% |
| 2013 | 1.95 million million USD | +5.8% |
| 2014 | 1.97 million million USD | +1.3% |
| 2015 | 1.98 million million USD | +0.3% |
| 2016 | 2.00 million million USD | +1.0% |
| 2017 | 2.10 million million USD | +5.0% |
| 2018 | 2.15 million million USD | +2.6% |
| 2019 | 2.25 million million USD | +4.5% |
| 2020 | 2.41 million million USD | +7.1% |
| 2021 | 2.69 million million USD | +11.9% |
| 2022 | 2.74 million million USD | +1.8% |
| 2023 | 2.72 million million USD | -0.6% |
| 2024 | 2.91 million million USD | +6.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 176,463 million USD | 104,905 million USD | 282,258 million USD | 10 |
| 1980s | 343,627 million USD | 301,712 million USD | 425,452 million USD | 10 |
| 1990s | 516,113 million USD | 434,685 million USD | 591,767 million USD | 10 |
| 2000s | 800,558 million USD | 546,074 million USD | 1.23 million million USD | 10 |
| 2010s | 1.94 million million USD | 1.47 million million USD | 2.25 million million USD | 10 |
| 2020s | 2.69 million million USD | 2.41 million million USD | 2.91 million million USD | 5 |
Countries ranked near Asia
- 1 China, mainland 1.42 million million USD compare
- 2 India 626,748 million USD compare
- 3 United States 248,390 million USD compare
- 4 Indonesia 176,053 million USD compare
- 5 USSR 142,694 million USD compare
More environment data for Asia
- Historical exposure to drought — Land soil moisture anomaly -2.4 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 0.4646 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Temperature change 1.83 °C (2025)
- Standard Deviation 0.229 °C (2025)
- Other industrial roundwood, non-coniferous (production) — Production 66.09 million m3 (2024)
- Industrial roundwood — Export value 389,605 1000 USD (2024)
- Industrial roundwood, coniferous — Production 80.29 million m3 (2024)
- Industrial roundwood, non-coniferous — Production 400.22 million m3 (2024)
- Sawlogs and veneer logs — Production 257.46 million m3 (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$ in Asia?
- Value added (agriculture, forestry and fishing) — value us$ in Asia was 2.91 million 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 Asia?
- The highest recorded value was 2.91 million million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Asia?
- The lowest recorded value was 104,905 million USD in 1970.
- How does Asia rank for value added (agriculture, forestry and fishing) — value us$?
- Asia ranks 2nd out of 30 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Asia?
- Over the last ten years it is up 47.5%. The long-run trend across the full record is volatile.
- Where does this 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.
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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).