Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Western Asia
Western Asia: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 139,695 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Western Asia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Western Asia recorded 139,695 million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024. That is the highest value across all 55 years on record.
The figure is up 4.5% on the previous year and up 21.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Western Asia peaked at 139,695 million USD in 2024 and was at its lowest, 41,361 million USD, in 1970.
That places Western Asia 16th out of 29 groups with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Western Asia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 41,361 million USD | — |
| 1971 | 43,832 million USD | +6.0% |
| 1972 | 47,736 million USD | +8.9% |
| 1973 | 41,757 million USD | -12.5% |
| 1974 | 46,790 million USD | +12.1% |
| 1975 | 46,894 million USD | +0.2% |
| 1976 | 51,096 million USD | +9.0% |
| 1977 | 51,096 million USD | -0.0% |
| 1978 | 52,965 million USD | +3.7% |
| 1979 | 51,809 million USD | -2.2% |
| 1980 | 55,104 million USD | +6.4% |
| 1981 | 55,346 million USD | +0.4% |
| 1982 | 56,035 million USD | +1.2% |
| 1983 | 55,634 million USD | -0.7% |
| 1984 | 57,235 million USD | +2.9% |
| 1985 | 60,277 million USD | +5.3% |
| 1986 | 63,069 million USD | +4.6% |
| 1987 | 62,926 million USD | -0.2% |
| 1988 | 68,839 million USD | +9.4% |
| 1989 | 64,071 million USD | -6.9% |
| 1990 | 69,127 million USD | +7.9% |
| 1991 | 70,404 million USD | +1.8% |
| 1992 | 75,824 million USD | +7.7% |
| 1993 | 76,439 million USD | +0.8% |
| 1994 | 75,927 million USD | -0.7% |
| 1995 | 76,717 million USD | +1.0% |
| 1996 | 82,552 million USD | +7.6% |
| 1997 | 84,214 million USD | +2.0% |
| 1998 | 91,869 million USD | +9.1% |
| 1999 | 89,609 million USD | -2.5% |
| 2000 | 93,405 million USD | +4.2% |
| 2001 | 91,656 million USD | -1.9% |
| 2002 | 98,301 million USD | +7.3% |
| 2003 | 94,648 million USD | -3.7% |
| 2004 | 98,970 million USD | +4.6% |
| 2005 | 106,534 million USD | +7.6% |
| 2006 | 109,682 million USD | +3.0% |
| 2007 | 101,963 million USD | -7.0% |
| 2008 | 102,213 million USD | +0.2% |
| 2009 | 107,779 million USD | +5.4% |
| 2010 | 111,846 million USD | +3.8% |
| 2011 | 119,615 million USD | +6.9% |
| 2012 | 116,460 million USD | -2.6% |
| 2013 | 120,263 million USD | +3.3% |
| 2014 | 115,085 million USD | -4.3% |
| 2015 | 116,523 million USD | +1.2% |
| 2016 | 116,135 million USD | -0.3% |
| 2017 | 119,406 million USD | +2.8% |
| 2018 | 122,872 million USD | +2.9% |
| 2019 | 129,925 million USD | +5.7% |
| 2020 | 136,274 million USD | +4.9% |
| 2021 | 133,074 million USD | -2.3% |
| 2022 | 130,351 million USD | -2.0% |
| 2023 | 133,648 million USD | +2.5% |
| 2024 | 139,695 million USD | +4.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 47,533 million USD | 41,361 million USD | 52,965 million USD | 10 |
| 1980s | 59,854 million USD | 55,104 million USD | 68,839 million USD | 10 |
| 1990s | 79,268 million USD | 69,127 million USD | 91,869 million USD | 10 |
| 2000s | 100,515 million USD | 91,656 million USD | 109,682 million USD | 10 |
| 2010s | 118,813 million USD | 111,846 million USD | 129,925 million USD | 10 |
| 2020s | 134,608 million USD | 130,351 million USD | 139,695 million USD | 5 |
Countries ranked near Western Asia
- 13 Bangladesh 43,966 million USD compare
- 14 Mexico 41,368 million USD compare
- 15 Thailand 39,680 million USD compare
- 16 Philippines 35,486 million USD compare
- 17 Ethiopia 35,413 million USD compare
- 18 Italy 34,228 million USD compare
- 18 Timor-Leste 336.81 million USD compare
- 19 Uzbekistan 33,140 million USD compare
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$, 2015 in Western Asia?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Western Asia was 139,695 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$, 2015 recorded in Western Asia?
- The highest recorded value was 139,695 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Western Asia?
- The lowest recorded value was 41,361 million USD in 1970.
- How does Western Asia rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Western Asia ranks 16th out of 29 groups with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Western Asia?
- Over the last ten years it is up 21.4%. The long-run trend across the full record is rising.
- 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$, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).