Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Syrian Arab Republic

Syrian Arab Republic: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 5,133 million USD in 2024. ▲ Rising

Latest (2024)
5,133 million USD
Change on year
down 0.9%
Rank
11th
of 20 groups
All-time high
17,584 million USD
in 2006
All-time low
2,819 million USD
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Syrian Arab Republic, 1970–2024

5.0k10.0k15.0k20.0k197019972024

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 Syrian Arab Republic is 5,133 million USD, measured in 2024.

That represents a change of down 0.9% on the previous year and down 17.3% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Syrian Arab Republic peaked at 17,584 million USD in 2006 and was at its lowest, 2,819 million USD, in 1970.

Syrian Arab Republic ranks 11th of 20 groups on this measure, 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 Syrian Arab Republic, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Syrian Arab Republic, 1970 to 2024.
Year million USD Change
1970 2,819 million USD
1971 3,098 million USD +9.9%
1972 5,146 million USD +66.1%
1973 3,091 million USD -39.9%
1974 4,727 million USD +52.9%
1975 4,963 million USD +5.0%
1976 5,933 million USD +19.5%
1977 5,168 million USD -12.9%
1978 6,344 million USD +22.8%
1979 5,425 million USD -14.5%
1980 7,638 million USD +40.8%
1981 7,869 million USD +3.0%
1982 7,639 million USD -2.9%
1983 7,617 million USD -0.3%
1984 6,958 million USD -8.7%
1985 7,381 million USD +6.1%
1986 7,858 million USD +6.5%
1987 6,762 million USD -13.9%
1988 8,932 million USD +32.1%
1989 6,306 million USD -29.4%
1990 7,640 million USD +21.1%
1991 8,157 million USD +6.8%
1992 9,618 million USD +17.9%
1993 9,604 million USD -0.2%
1994 10,191 million USD +6.1%
1995 10,608 million USD +4.1%
1996 12,157 million USD +14.6%
1997 11,805 million USD -2.9%
1998 14,436 million USD +22.3%
1999 12,257 million USD -15.1%
2000 13,393 million USD +9.3%
2001 14,360 million USD +7.2%
2002 15,624 million USD +8.8%
2003 15,209 million USD -2.7%
2004 14,901 million USD -2.0%
2005 15,887 million USD +6.6%
2006 17,584 million USD +10.7%
2007 15,205 million USD -13.5%
2008 14,178 million USD -6.8%
2009 15,942 million USD +12.4%
2010 14,387 million USD -9.8%
2011 16,864 million USD +17.2%
2012 12,524 million USD -25.7%
2013 11,433 million USD -8.7%
2014 6,205 million USD -45.7%
2015 6,686 million USD +7.8%
2016 6,603 million USD -1.2%
2017 6,959 million USD +5.4%
2018 5,942 million USD -14.6%
2019 6,324 million USD +6.4%
2020 6,344 million USD +0.3%
2021 5,670 million USD -10.6%
2022 5,324 million USD -6.1%
2023 5,180 million USD -2.7%
2024 5,133 million USD -0.9%

Averages by decade

DecadeAverage LowestHighest Years
1970s 4,671 million USD 2,819 million USD 6,344 million USD 10
1980s 7,496 million USD 6,306 million USD 8,932 million USD 10
1990s 10,647 million USD 7,640 million USD 14,436 million USD 10
2000s 15,228 million USD 13,393 million USD 17,584 million USD 10
2010s 9,393 million USD 5,942 million USD 16,864 million USD 10
2020s 5,530 million USD 5,133 million USD 6,344 million USD 5

Countries ranked near Syrian Arab Republic

  1. 8 Russian Federation 60,030 million USD compare
  2. 9 Democratic Republic of the Congo 8,590 million USD compare
  3. 9 Australia and New Zealand 53,208 million USD compare
  4. 10 Egypt 49,906 million USD compare
  5. 11 Japan 47,024 million USD compare
  6. 12 Australia 44,230 million USD compare
  7. 13 Bangladesh 43,966 million USD compare
  8. 14 Mexico 41,368 million USD compare

See the full ranking of 249 places →

More environment data for Syrian Arab Republic

All data for Syrian Arab Republic →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value us$, 2015 in Syrian Arab Republic?
Value added (agriculture, forestry and fishing) — value us$, 2015 in Syrian Arab Republic was 5,133 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$, 2015 recorded in Syrian Arab Republic?
The highest recorded value was 17,584 million USD in 2006.
What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Syrian Arab Republic?
The lowest recorded value was 2,819 million USD in 1970.
How does Syrian Arab Republic rank for value added (agriculture, forestry and fishing) — value us$, 2015?
Syrian Arab Republic ranks 11th out of 20 groups with data for 2024.
Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Syrian Arab Republic?
Over the last ten years it is down 17.3%. The long-run trend across the full record is rising.
Where does this Syrian Arab Republic 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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Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Syrian Arab Republic. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 30 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us-2015-prices/syrian-arab-republic-2/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
249 places, 12,769 data points, 1970–2024
Last refreshed

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).