Value Added (Agriculture, Forestry and Fishing) — Value Standard in Liberia
Liberia: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 668.78 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Liberia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Liberia recorded 668.78 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
The figure is up 3.5% on the previous year and up 16.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Liberia peaked at 1,180 million SLC in 2011 and was at its lowest, 134.74 million SLC, in 1994.
Liberia ranks 151st of 191 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 Liberia, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 465.94 million SLC | — |
| 1971 | 497.77 million SLC | +6.8% |
| 1972 | 504.03 million SLC | +1.3% |
| 1973 | 542.64 million SLC | +7.7% |
| 1974 | 524.99 million SLC | -3.3% |
| 1975 | 552.57 million SLC | +5.3% |
| 1976 | 609.92 million SLC | +10.4% |
| 1977 | 605.51 million SLC | -0.7% |
| 1978 | 660.65 million SLC | +9.1% |
| 1979 | 692.64 million SLC | +4.8% |
| 1980 | 694.84 million SLC | +0.3% |
| 1981 | 544.85 million SLC | -21.6% |
| 1982 | 546.5 million SLC | +0.3% |
| 1983 | 559.52 million SLC | +2.4% |
| 1984 | 592.91 million SLC | +6.0% |
| 1985 | 622.26 million SLC | +5.0% |
| 1986 | 624.46 million SLC | +0.4% |
| 1987 | 670.14 million SLC | +7.3% |
| 1988 | 696.19 million SLC | +3.9% |
| 1989 | 696.19 million SLC | +0.0% |
| 1990 | 478.65 million SLC | -31.2% |
| 1991 | 419.87 million SLC | -12.3% |
| 1992 | 251.34 million SLC | -40.1% |
| 1993 | 165.29 million SLC | -34.2% |
| 1994 | 134.74 million SLC | -18.5% |
| 1995 | 201.35 million SLC | +49.4% |
| 1996 | 219.38 million SLC | +9.0% |
| 1997 | 406.5 million SLC | +85.3% |
| 1998 | 538.67 million SLC | +32.5% |
| 1999 | 650.08 million SLC | +20.7% |
| 2000 | 838.87 million SLC | +29.0% |
| 2001 | 969.44 million SLC | +15.6% |
| 2002 | 1,020 million SLC | +5.2% |
| 2003 | 713.47 million SLC | -30.0% |
| 2004 | 685.18 million SLC | -4.0% |
| 2005 | 576.85 million SLC | -15.8% |
| 2006 | 667.44 million SLC | +15.7% |
| 2007 | 1,060 million SLC | +58.7% |
| 2008 | 1,113 million SLC | +5.0% |
| 2009 | 1,031 million SLC | -7.4% |
| 2010 | 1,113 million SLC | +8.0% |
| 2011 | 1,180 million SLC | +6.0% |
| 2012 | 1,009 million SLC | -14.5% |
| 2013 | 785.88 million SLC | -22.1% |
| 2014 | 573.21 million SLC | -27.1% |
| 2015 | 640.12 million SLC | +11.7% |
| 2016 | 445.94 million SLC | -30.3% |
| 2017 | 496.01 million SLC | +11.2% |
| 2018 | 527.85 million SLC | +6.4% |
| 2019 | 574.79 million SLC | +8.9% |
| 2020 | 589.54 million SLC | +2.6% |
| 2021 | 596.97 million SLC | +1.3% |
| 2022 | 637.03 million SLC | +6.7% |
| 2023 | 645.97 million SLC | +1.4% |
| 2024 | 668.78 million SLC | +3.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 565.66 million SLC | 465.94 million SLC | 692.64 million SLC | 10 |
| 1980s | 624.79 million SLC | 544.85 million SLC | 696.19 million SLC | 10 |
| 1990s | 346.59 million SLC | 134.74 million SLC | 650.08 million SLC | 10 |
| 2000s | 867.42 million SLC | 576.85 million SLC | 1,113 million SLC | 10 |
| 2010s | 734.65 million SLC | 445.94 million SLC | 1,180 million SLC | 10 |
| 2020s | 627.66 million SLC | 589.54 million SLC | 668.78 million SLC | 5 |
Countries ranked near Liberia
- 148 Trinidad and Tobago 730.7 million SLC compare
- 149 Seychelles 711.33 million SLC compare
- 150 Puerto Rico 677.16 million SLC compare
- 152 Slovenia 668.77 million SLC compare
- 153 Palestine, State of 656.44 million SLC compare
- 154 South Sudan 603.42 million SLC compare
More environment data for Liberia
- Historical exposure to drought — Land soil moisture anomaly -4.21 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -4.28 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.221 °C (2025)
- Temperature change 1.42 °C (2025)
- Sawnwood — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0.0236 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate -74.93 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
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 668.78 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 1,180 million SLC in 2011.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Liberia?
- The lowest recorded value was 134.74 million SLC in 1994.
- How does Liberia rank for value added (agriculture, forestry and fishing) — value standard?
- Liberia ranks 151st out of 191 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 16.7%. The long-run trend across the full record is rising.
- 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, 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).