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

Liberia: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1,069 million SLC in 2024. ◆ Volatile

Latest (2024)
1,069 million SLC
Change on year
up 5.3%
World rank
157th
of 199 countries
All-time high
1,069 million SLC
in 2024
All-time low
58.55 million SLC
in 1973
Years of data
55
1970–2024

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

02505007501.0k197019972024

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

Analysis

Liberia recorded 1,069 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.

Compared with earlier readings it is up 5.3% on the previous year and up 81.0% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Liberia peaked at 1,069 million SLC in 2024 and was at its lowest, 58.55 million SLC, in 1973.

Liberia ranks 157th of 199 countries on this measure, in the bottom quarter.

The series is highly variable year to year, so single readings are best treated with caution.

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

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Liberia, 1970 to 2024.
Year million SLC Change
1970 73.27 million SLC
1971 74.04 million SLC +1.1%
1972 74.35 million SLC +0.4%
1973 58.55 million SLC -21.3%
1974 74.97 million SLC +28.0%
1975 63.85 million SLC -14.8%
1976 79.77 million SLC +24.9%
1977 98.13 million SLC +23.0%
1978 120.67 million SLC +23.0%
1979 142.5 million SLC +18.1%
1980 162.19 million SLC +13.8%
1981 302.95 million SLC +86.8%
1982 290.5 million SLC -4.1%
1983 341.2 million SLC +17.5%
1984 365.88 million SLC +7.2%
1985 358.34 million SLC -2.1%
1986 350.48 million SLC -2.2%
1987 389.45 million SLC +11.1%
1988 420.25 million SLC +7.9%
1989 437.27 million SLC +4.0%
1990 300.13 million SLC -31.4%
1991 277.87 million SLC -7.4%
1992 164.57 million SLC -40.8%
1993 115.89 million SLC -29.6%
1994 99.52 million SLC -14.1%
1995 158.39 million SLC +59.2%
1996 182.01 million SLC +14.9%
1997 277.29 million SLC +52.3%
1998 344.48 million SLC +24.2%
1999 411.66 million SLC +19.5%
2000 432.43 million SLC +5.0%
2001 480.19 million SLC +11.0%
2002 524.18 million SLC +9.2%
2003 404.43 million SLC -22.8%
2004 460.64 million SLC +13.9%
2005 404 million SLC -12.3%
2006 495.08 million SLC +22.5%
2007 552.98 million SLC +11.7%
2008 610.19 million SLC +10.3%
2009 600.43 million SLC -1.6%
2010 585.79 million SLC -2.4%
2011 674.58 million SLC +15.2%
2012 674.85 million SLC +0.0%
2013 654.07 million SLC -3.1%
2014 590.3 million SLC -9.7%
2015 640.12 million SLC +8.4%
2016 646 million SLC +0.9%
2017 610.11 million SLC -5.6%
2018 621.47 million SLC +1.9%
2019 676.23 million SLC +8.8%
2020 781.44 million SLC +15.6%
2021 762.68 million SLC -2.4%
2022 970.96 million SLC +27.3%
2023 1,014 million SLC +4.5%
2024 1,069 million SLC +5.3%

Averages by decade

DecadeAverage LowestHighest Years
1970s 86.01 million SLC 58.55 million SLC 142.5 million SLC 10
1980s 341.85 million SLC 162.19 million SLC 437.27 million SLC 10
1990s 233.18 million SLC 99.52 million SLC 411.66 million SLC 10
2000s 496.46 million SLC 404 million SLC 610.19 million SLC 10
2010s 637.35 million SLC 585.79 million SLC 676.23 million SLC 10
2020s 919.62 million SLC 762.68 million SLC 1,069 million SLC 5

Countries ranked near Liberia

  1. 154 Trinidad and Tobago 1,449 million SLC compare
  2. 155 Palestine, State of 1,147 million SLC compare
  3. 156 Fiji 1,108 million SLC compare
  4. 158 Oman 1,038 million SLC compare
  5. 159 Slovenia 999.35 million SLC compare
  6. 160 Puerto Rico 864.98 million SLC compare

See the full ranking of 215 places →

More environment data for Liberia

All data for Liberia →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Liberia?
Value added (agriculture, forestry and fishing) — value standard in Liberia was 1,069 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 Liberia?
The highest recorded value was 1,069 million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Liberia?
The lowest recorded value was 58.55 million SLC in 1973.
How does Liberia rank for value added (agriculture, forestry and fishing) — value standard?
Liberia ranks 157th out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Liberia?
Over the last ten years it is up 81.0%. The long-run trend across the full record is volatile.
Where does this Liberia 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 Liberia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 31 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/liberia/

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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).