Value Added (Agriculture, Forestry and Fishing) — Value Standard in El Salvador

El Salvador: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1,611 million SLC in 2024. ▲ Rising

Latest (2024)
1,611 million SLC
Change on year
up 2.8%
World rank
151st
of 199 countries
All-time high
1,611 million SLC
in 2024
All-time low
246.55 million SLC
in 1972
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in El Salvador, 1970–2024

05001.0k1.5k197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

El Salvador recorded 1,611 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.

The figure is up 2.8% on the previous year and up 21.5% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in El Salvador peaked at 1,611 million SLC in 2024 and was at its lowest, 246.55 million SLC, in 1972.

El Salvador ranks 151st of 199 countries on this measure, in the bottom quarter.

The long-run direction has been consistently rising across the 55 years of available data.

Value Added (Agriculture, Forestry and Fishing) — Value Standard in El Salvador, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in El Salvador, 1970 to 2024.
Year million SLC Change
1970 247.57 million SLC
1971 246.89 million SLC -0.3%
1972 246.55 million SLC -0.1%
1973 312.25 million SLC +26.6%
1974 338.33 million SLC +8.4%
1975 348.15 million SLC +2.9%
1976 546.61 million SLC +57.0%
1977 804 million SLC +47.1%
1978 693.93 million SLC -13.7%
1979 849.38 million SLC +22.4%
1980 839.9 million SLC -1.1%
1981 713.24 million SLC -15.1%
1982 702.74 million SLC -1.5%
1983 731.87 million SLC +4.1%
1984 785.72 million SLC +7.4%
1985 884.27 million SLC +12.5%
1986 692.57 million SLC -21.7%
1987 541.7 million SLC -21.8%
1988 643.64 million SLC +18.8%
1989 637.88 million SLC -0.9%
1990 771.47 million SLC +20.9%
1991 829.47 million SLC +7.5%
1992 753.71 million SLC -9.1%
1993 850.32 million SLC +12.8%
1994 956.99 million SLC +12.5%
1995 1,029 million SLC +7.5%
1996 1,040 million SLC +1.1%
1997 1,116 million SLC +7.3%
1998 1,036 million SLC -7.2%
1999 895.26 million SLC -13.5%
2000 845.31 million SLC -5.6%
2001 821.27 million SLC -2.8%
2002 737.43 million SLC -10.2%
2003 726.88 million SLC -1.4%
2004 786.15 million SLC +8.2%
2005 907.11 million SLC +15.4%
2006 967.38 million SLC +6.6%
2007 1,190 million SLC +23.0%
2008 1,275 million SLC +7.2%
2009 1,174 million SLC -8.0%
2010 1,288 million SLC +9.7%
2011 1,487 million SLC +15.4%
2012 1,393 million SLC -6.3%
2013 1,234 million SLC -11.4%
2014 1,326 million SLC +7.4%
2015 1,296 million SLC -2.2%
2016 1,387 million SLC +7.0%
2017 1,347 million SLC -2.9%
2018 1,336 million SLC -0.9%
2019 1,383 million SLC +3.6%
2020 1,334 million SLC -3.5%
2021 1,398 million SLC +4.7%
2022 1,496 million SLC +7.0%
2023 1,567 million SLC +4.7%
2024 1,611 million SLC +2.8%

Averages by decade

DecadeAverage LowestHighest Years
1970s 463.37 million SLC 246.55 million SLC 849.38 million SLC 10
1980s 717.35 million SLC 541.7 million SLC 884.27 million SLC 10
1990s 927.71 million SLC 753.71 million SLC 1,116 million SLC 10
2000s 943.02 million SLC 726.88 million SLC 1,275 million SLC 10
2010s 1,348 million SLC 1,234 million SLC 1,487 million SLC 10
2020s 1,481 million SLC 1,334 million SLC 1,611 million SLC 5

Countries ranked near El Salvador

  1. 148 Bosnia and Herzegovina 2,186 million SLC compare
  2. 149 Lithuania 2,018 million SLC compare
  3. 150 Jordan 1,906 million SLC compare
  4. 152 Latvia 1,608 million SLC compare
  5. 153 China, Hong Kong SAR 1,465 million SLC compare
  6. 154 Trinidad and Tobago 1,449 million SLC compare

See the full ranking of 215 places →

More environment data for El Salvador

All data for El Salvador →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in El Salvador?
Value added (agriculture, forestry and fishing) — value standard in El Salvador was 1,611 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) — value standard recorded in El Salvador?
The highest recorded value was 1,611 million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in El Salvador?
The lowest recorded value was 246.55 million SLC in 1972.
How does El Salvador rank for value added (agriculture, forestry and fishing) — value standard?
El Salvador ranks 151st out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in El Salvador?
Over the last ten years it is up 21.5%. The long-run trend across the full record is rising.
Where does this El Salvador 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 Standard Local Currency. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in El Salvador. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 06 September 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/el-salvador/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
215 places, 10,919 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).