Value Added (Agriculture, Forestry and Fishing) — Value US$ in Western Asia
Western Asia: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 148,222 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$ in Western 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$ in Western Asia is 148,222 million USD, measured in 2024. That is the highest value across all 55 years on record.
That represents a change of up 2.9% on the previous year and up 20.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Western Asia peaked at 148,222 million USD in 2024 and was at its lowest, 8,293 million USD, in 1971.
That places Western Asia 16th out of 29 groups with data for 2024, putting it in the middle of the range.
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 Western Asia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 8,713 million USD | — |
| 1971 | 8,293 million USD | -4.8% |
| 1972 | 9,758 million USD | +17.7% |
| 1973 | 11,334 million USD | +16.2% |
| 1974 | 16,114 million USD | +42.2% |
| 1975 | 19,309 million USD | +19.8% |
| 1976 | 20,852 million USD | +8.0% |
| 1977 | 23,218 million USD | +11.3% |
| 1978 | 26,547 million USD | +14.3% |
| 1979 | 31,130 million USD | +17.3% |
| 1980 | 25,878 million USD | -16.9% |
| 1981 | 26,698 million USD | +3.2% |
| 1982 | 24,972 million USD | -6.5% |
| 1983 | 24,268 million USD | -2.8% |
| 1984 | 24,940 million USD | +2.8% |
| 1985 | 24,731 million USD | -0.8% |
| 1986 | 27,830 million USD | +12.5% |
| 1987 | 30,259 million USD | +8.7% |
| 1988 | 32,619 million USD | +7.8% |
| 1989 | 34,014 million USD | +4.3% |
| 1990 | 45,434 million USD | +33.6% |
| 1991 | 45,221 million USD | -0.5% |
| 1992 | 46,300 million USD | +2.4% |
| 1993 | 49,981 million USD | +8.0% |
| 1994 | 41,960 million USD | -16.0% |
| 1995 | 48,410 million USD | +15.4% |
| 1996 | 53,474 million USD | +10.5% |
| 1997 | 50,482 million USD | -5.6% |
| 1998 | 59,890 million USD | +18.6% |
| 1999 | 51,370 million USD | -14.2% |
| 2000 | 52,685 million USD | +2.6% |
| 2001 | 44,495 million USD | -15.5% |
| 2002 | 51,855 million USD | +16.5% |
| 2003 | 58,631 million USD | +13.1% |
| 2004 | 68,148 million USD | +16.2% |
| 2005 | 79,239 million USD | +16.3% |
| 2006 | 81,321 million USD | +2.6% |
| 2007 | 91,223 million USD | +12.2% |
| 2008 | 103,473 million USD | +13.4% |
| 2009 | 104,083 million USD | +0.6% |
| 2010 | 123,905 million USD | +19.0% |
| 2011 | 129,928 million USD | +4.9% |
| 2012 | 127,068 million USD | -2.2% |
| 2013 | 124,648 million USD | -1.9% |
| 2014 | 122,997 million USD | -1.3% |
| 2015 | 116,523 million USD | -5.3% |
| 2016 | 107,491 million USD | -7.8% |
| 2017 | 109,271 million USD | +1.7% |
| 2018 | 108,260 million USD | -0.9% |
| 2019 | 114,873 million USD | +6.1% |
| 2020 | 112,911 million USD | -1.7% |
| 2021 | 116,223 million USD | +2.9% |
| 2022 | 132,298 million USD | +13.8% |
| 2023 | 144,088 million USD | +8.9% |
| 2024 | 148,222 million USD | +2.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 17,527 million USD | 8,293 million USD | 31,130 million USD | 10 |
| 1980s | 27,621 million USD | 24,268 million USD | 34,014 million USD | 10 |
| 1990s | 49,252 million USD | 41,960 million USD | 59,890 million USD | 10 |
| 2000s | 73,515 million USD | 44,495 million USD | 104,083 million USD | 10 |
| 2010s | 118,496 million USD | 107,491 million USD | 129,928 million USD | 10 |
| 2020s | 130,748 million USD | 112,911 million USD | 148,222 million USD | 5 |
Countries ranked near Western Asia
More environment data for Western Asia
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.404 °C (2025)
- Temperature change 1.7 °C (2025)
- Total fibre furnish — Production 5.65 million t (2024)
- Recovered paper — Production 5.50 million t (2024)
- Cropland — Area 45,596 1000 ha (2024)
- Nutrient potash K2O (total) — Use per capita 1.25 kg/cap (2024)
- Nutrient potash K2O (total) — Use per value of agricultural production 2.95 g/Int$ (2024)
- Country area — Area 484,480 1000 ha (2024)
- Land area — Area 479,195 1000 ha (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$ in Western Asia?
- Value added (agriculture, forestry and fishing) — value us$ in Western Asia was 148,222 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 Western Asia?
- The highest recorded value was 148,222 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Western Asia?
- The lowest recorded value was 8,293 million USD in 1971.
- How does Western Asia rank for value added (agriculture, forestry and fishing) — value us$?
- Western Asia ranks 16th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Western Asia?
- Over the last ten years it is up 20.5%. The long-run trend across the full record is volatile.
- Where does this Western 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).