Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Liberia

Liberia: Gross Fixed Capital Formation — Value Standard Local Currency, 2015 was 764.42 million SLC in 2024. ◆ Volatile

Latest (2024)
764.42 million SLC
Change on year
up 2.4%
World rank
179th
of 194 countries
All-time high
1,056 million SLC
in 2013
All-time low
25.93 million SLC
in 1995
Years of data
55
1970–2024

Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Liberia, 1970–2024

02505007501.0k197019972024

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

Analysis

Liberia recorded 764.42 million SLC for gross fixed capital formation — value standard local currency, 2015 in 2024.

The figure is up 2.4% on the previous year and up 134.3% over ten years.

Over the whole period, gross fixed capital formation — value standard local currency, 2015 in Liberia peaked at 1,056 million SLC in 2013 and was at its lowest, 25.93 million SLC, in 1995.

Liberia ranks 179th of 194 countries on this measure, in the bottom quarter.

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

Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Liberia, year by year

Annual values for Gross Fixed Capital Formation — Value Standard Local Currency, 2015 prices in Liberia, 1970 to 2024.
Year million SLC Change
1970 285.74 million SLC
1971 268.04 million SLC -6.2%
1972 279.37 million SLC +4.2%
1973 253.17 million SLC -9.4%
1974 299.74 million SLC +18.4%
1975 332.63 million SLC +11.0%
1976 436.85 million SLC +31.3%
1977 398.42 million SLC -8.8%
1978 463.09 million SLC +16.2%
1979 492.66 million SLC +6.4%
1980 351.85 million SLC -28.6%
1981 338.54 million SLC -3.8%
1982 365.31 million SLC +7.9%
1983 354.38 million SLC -3.0%
1984 287.84 million SLC -18.8%
1985 214.32 million SLC -25.5%
1986 184.54 million SLC -13.9%
1987 183.03 million SLC -0.8%
1988 156.83 million SLC -14.3%
1989 147.22 million SLC -6.1%
1990 93.2 million SLC -36.7%
1991 67.96 million SLC -27.1%
1992 51.89 million SLC -23.6%
1993 34.63 million SLC -33.3%
1994 27.09 million SLC -21.8%
1995 25.93 million SLC -4.3%
1996 123.91 million SLC +377.8%
1997 255.59 million SLC +106.3%
1998 332.81 million SLC +30.2%
1999 405.16 million SLC +21.7%
2000 87.87 million SLC -78.3%
2001 314.77 million SLC +258.2%
2002 326.61 million SLC +3.8%
2003 208 million SLC -36.3%
2004 190.84 million SLC -8.3%
2005 183.71 million SLC -3.7%
2006 190.97 million SLC +3.9%
2007 371.57 million SLC +94.6%
2008 221.72 million SLC -40.3%
2009 228.15 million SLC +2.9%
2010 240.2 million SLC +5.3%
2011 531.95 million SLC +121.5%
2012 700.48 million SLC +31.7%
2013 1,056 million SLC +50.8%
2014 326.21 million SLC -69.1%
2015 672.12 million SLC +106.0%
2016 600.8 million SLC -10.6%
2017 472.68 million SLC -21.3%
2018 500.22 million SLC +5.8%
2019 458.34 million SLC -8.4%
2020 531.29 million SLC +15.9%
2021 697.27 million SLC +31.2%
2022 691.48 million SLC -0.8%
2023 746.15 million SLC +7.9%
2024 764.42 million SLC +2.4%

Averages by decade

DecadeAverage LowestHighest Years
1970s 350.97 million SLC 253.17 million SLC 492.66 million SLC 10
1980s 258.39 million SLC 147.22 million SLC 365.31 million SLC 10
1990s 141.82 million SLC 25.93 million SLC 405.16 million SLC 10
2000s 232.42 million SLC 87.87 million SLC 371.57 million SLC 10
2010s 555.92 million SLC 240.2 million SLC 1,056 million SLC 10
2020s 686.12 million SLC 531.29 million SLC 764.42 million SLC 5

Countries ranked near Liberia

  1. 176 Aruba 884.57 million SLC compare
  2. 177 Saint Kitts and Nevis 864.08 million SLC compare
  3. 178 Bermuda 861.76 million SLC compare
  4. 180 Samoa 628.02 million SLC compare
  5. 181 Dominica 594.71 million SLC compare
  6. 182 Andorra 589.97 million SLC compare

See the full ranking of 209 places →

More economy & growth data for Liberia

All data for Liberia →

Frequently asked questions

What is gross fixed capital formation — value standard local currency, 2015 in Liberia?
Gross fixed capital formation — value standard local currency, 2015 in Liberia was 764.42 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest gross fixed capital formation — value standard local currency, 2015 recorded in Liberia?
The highest recorded value was 1,056 million SLC in 2013.
What is the lowest gross fixed capital formation — value standard local currency, 2015 recorded in Liberia?
The lowest recorded value was 25.93 million SLC in 1995.
How does Liberia rank for gross fixed capital formation — value standard local currency, 2015?
Liberia ranks 179th out of 194 countries with data for 2024.
Is gross fixed capital formation — value standard local currency, 2015 rising or falling in Liberia?
Over the last ten years it is up 134.3%. 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 Gross Fixed Capital Formation — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Liberia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 30 August 2026, from https://economy.statizoid.com/stat/gross-fixed-capital-formation-value-standard-local-currency-2015-prices/liberia/

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About this data

Indicator
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
209 places, 10,794 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).