Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Eastern Asia
Eastern Asia: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 1.46 million million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Eastern Asia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Eastern Asia recorded 1.46 million million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024. That is the highest value across all 55 years on record.
The figure is up 3.3% on the previous year and up 45.0% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Eastern Asia peaked at 1.46 million million USD in 2024 and was at its lowest, 241,265 million USD, in 1970.
That places Eastern Asia 2nd out of 29 groups with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Eastern Asia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 241,265 million USD | — |
| 1971 | 242,136 million USD | +0.4% |
| 1972 | 249,923 million USD | +3.2% |
| 1973 | 268,849 million USD | +7.6% |
| 1974 | 276,340 million USD | +2.8% |
| 1975 | 280,407 million USD | +1.5% |
| 1976 | 275,101 million USD | -1.9% |
| 1977 | 269,493 million USD | -2.0% |
| 1978 | 275,813 million USD | +2.3% |
| 1979 | 290,045 million USD | +5.2% |
| 1980 | 280,260 million USD | -3.4% |
| 1981 | 295,905 million USD | +5.6% |
| 1982 | 325,434 million USD | +10.0% |
| 1983 | 347,346 million USD | +6.7% |
| 1984 | 381,391 million USD | +9.8% |
| 1985 | 387,075 million USD | +1.5% |
| 1986 | 397,590 million USD | +2.7% |
| 1987 | 412,874 million USD | +3.8% |
| 1988 | 420,348 million USD | +1.8% |
| 1989 | 432,150 million USD | +2.8% |
| 1990 | 454,651 million USD | +5.2% |
| 1991 | 455,406 million USD | +0.2% |
| 1992 | 475,986 million USD | +4.5% |
| 1993 | 486,554 million USD | +2.2% |
| 1994 | 504,137 million USD | +3.6% |
| 1995 | 521,150 million USD | +3.4% |
| 1996 | 548,139 million USD | +5.2% |
| 1997 | 563,970 million USD | +2.9% |
| 1998 | 579,898 million USD | +2.8% |
| 1999 | 594,740 million USD | +2.6% |
| 2000 | 611,115 million USD | +2.8% |
| 2001 | 620,682 million USD | +1.6% |
| 2002 | 639,026 million USD | +3.0% |
| 2003 | 644,994 million USD | +0.9% |
| 2004 | 676,195 million USD | +4.8% |
| 2005 | 707,609 million USD | +4.6% |
| 2006 | 738,771 million USD | +4.4% |
| 2007 | 767,656 million USD | +3.9% |
| 2008 | 810,502 million USD | +5.6% |
| 2009 | 837,415 million USD | +3.3% |
| 2010 | 865,371 million USD | +3.3% |
| 2011 | 899,224 million USD | +3.9% |
| 2012 | 935,945 million USD | +4.1% |
| 2013 | 970,317 million USD | +3.7% |
| 2014 | 1.01 million million USD | +3.7% |
| 2015 | 1.04 million million USD | +3.5% |
| 2016 | 1.07 million million USD | +2.7% |
| 2017 | 1.11 million million USD | +3.9% |
| 2018 | 1.15 million million USD | +3.1% |
| 2019 | 1.18 million million USD | +3.3% |
| 2020 | 1.22 million million USD | +2.8% |
| 2021 | 1.30 million million USD | +7.0% |
| 2022 | 1.36 million million USD | +4.5% |
| 2023 | 1.41 million million USD | +3.9% |
| 2024 | 1.46 million million USD | +3.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 266,937 million USD | 241,265 million USD | 290,045 million USD | 10 |
| 1980s | 368,037 million USD | 280,260 million USD | 432,150 million USD | 10 |
| 1990s | 518,463 million USD | 454,651 million USD | 594,740 million USD | 10 |
| 2000s | 705,396 million USD | 611,115 million USD | 837,415 million USD | 10 |
| 2010s | 1.02 million million USD | 865,371 million USD | 1.18 million million USD | 10 |
| 2020s | 1.35 million million USD | 1.22 million million USD | 1.46 million million USD | 5 |
Countries ranked near Eastern Asia
More environment data for Eastern Asia
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Land soil moisture anomaly -2.3 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -2 Percentage change (2025)
- Standard Deviation 0.309 °C (2025)
- Temperature change 1.98 °C (2025)
- Recovered paper — Production 98.06 million t (2024)
- Total fibre furnish — Production 137.56 million t (2024)
- Nutrient nitrogen N (total) — Export quantity 6.03 million t (2024)
- Nutrient nitrogen N (total) — Agricultural Use 25.26 million t (2024)
- Nutrient potash K2O (total) — Agricultural Use 9.16 million t (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Eastern Asia?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Eastern Asia was 1.46 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$, 2015 recorded in Eastern Asia?
- The highest recorded value was 1.46 million million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Eastern Asia?
- The lowest recorded value was 241,265 million USD in 1970.
- How does Eastern Asia rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Eastern Asia ranks 2nd out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Eastern Asia?
- Over the last ten years it is up 45.0%. The long-run trend across the full record is volatile.
- Where does this 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.
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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).