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

Rwanda: Gross Fixed Capital Formation — Value Standard Local Currency, 2015 was 2.72 million million SLC in 2024. ◆ Volatile

Latest (2024)
2.72 million million SLC
Change on year
up 13.2%
World rank
36th
of 194 countries
All-time high
2.72 million million SLC
in 2024
All-time low
29,730 million SLC
in 1970
Years of data
55
1970–2024

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

01.0M2.0M3.0M197019972024

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

Analysis

The most recent figure for gross fixed capital formation — value standard local currency, 2015 in Rwanda is 2.72 million million SLC, measured in 2024. That is the highest value across all 55 years on record.

That represents a change of up 13.2% on the previous year and up 119.4% over ten years.

Over the whole period, gross fixed capital formation — value standard local currency, 2015 in Rwanda peaked at 2.72 million million SLC in 2024 and was at its lowest, 29,730 million SLC, in 1970.

That places Rwanda 36th out of 194 countries with data for 2024, putting it in the top 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 Rwanda, year by year

Annual values for Gross Fixed Capital Formation — Value Standard Local Currency, 2015 prices in Rwanda, 1970 to 2024.
Year million SLC Change
1970 29,730 million SLC
1971 38,981 million SLC +31.1%
1972 53,868 million SLC +38.2%
1973 54,943 million SLC +2.0%
1974 61,463 million SLC +11.9%
1975 82,938 million SLC +34.9%
1976 83,388 million SLC +0.5%
1977 86,718 million SLC +4.0%
1978 83,729 million SLC -3.4%
1979 104,001 million SLC +24.2%
1980 87,125 million SLC -16.2%
1981 112,839 million SLC +29.5%
1982 153,587 million SLC +36.1%
1983 175,381 million SLC +14.2%
1984 214,689 million SLC +22.4%
1985 214,372 million SLC -0.1%
1986 223,406 million SLC +4.2%
1987 223,327 million SLC -0.0%
1988 222,297 million SLC -0.5%
1989 192,103 million SLC -13.6%
1990 171,551 million SLC -10.7%
1991 153,415 million SLC -10.6%
1992 193,753 million SLC +26.3%
1993 183,063 million SLC -5.5%
1994 44,662 million SLC -75.6%
1995 90,745 million SLC +103.2%
1996 119,762 million SLC +32.0%
1997 143,383 million SLC +19.7%
1998 164,350 million SLC +14.6%
1999 198,899 million SLC +21.0%
2000 232,737 million SLC +17.0%
2001 232,737 million SLC +0.0%
2002 250,894 million SLC +7.8%
2003 275,653 million SLC +9.9%
2004 307,840 million SLC +11.7%
2005 357,358 million SLC +16.1%
2006 444,841 million SLC +24.5%
2007 567,812 million SLC +27.6%
2008 753,506 million SLC +32.7%
2009 774,139 million SLC +2.7%
2010 827,784 million SLC +6.9%
2011 905,363 million SLC +9.4%
2012 1.10 million million SLC +21.9%
2013 1.18 million million SLC +7.3%
2014 1.24 million million SLC +4.8%
2015 1.47 million million SLC +18.8%
2016 1.61 million million SLC +9.0%
2017 1.44 million million SLC -10.2%
2018 1.53 million million SLC +5.8%
2019 2.01 million million SLC +32.0%
2020 1.92 million million SLC -4.5%
2021 2.24 million million SLC +16.4%
2022 2.15 million million SLC -4.0%
2023 2.40 million million SLC +11.9%
2024 2.72 million million SLC +13.1%

Averages by decade

DecadeAverage LowestHighest Years
1970s 67,976 million SLC 29,730 million SLC 104,001 million SLC 10
1980s 181,913 million SLC 87,125 million SLC 223,406 million SLC 10
1990s 146,358 million SLC 44,662 million SLC 198,899 million SLC 10
2000s 419,752 million SLC 232,737 million SLC 774,139 million SLC 10
2010s 1.33 million million SLC 827,784 million SLC 2.01 million million SLC 10
2020s 2.29 million million SLC 1.92 million million SLC 2.72 million million SLC 5

Countries ranked near Rwanda

  1. 33 Thailand 3.80 million million SLC compare
  2. 34 Angola 3.12 million million SLC compare
  3. 35 Sri Lanka 3.05 million million SLC compare
  4. 37 Mali 2.54 million million SLC compare
  5. 38 Burkina Faso 2.18 million million SLC compare
  6. 39 Niger 2.01 million million SLC compare

See the full ranking of 209 places →

More economy & growth data for Rwanda

All data for Rwanda →

Frequently asked questions

What is gross fixed capital formation — value standard local currency, 2015 in Rwanda?
Gross fixed capital formation — value standard local currency, 2015 in Rwanda was 2.72 million 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 Rwanda?
The highest recorded value was 2.72 million million SLC in 2024.
What is the lowest gross fixed capital formation — value standard local currency, 2015 recorded in Rwanda?
The lowest recorded value was 29,730 million SLC in 1970.
How does Rwanda rank for gross fixed capital formation — value standard local currency, 2015?
Rwanda ranks 36th out of 194 countries with data for 2024.
Is gross fixed capital formation — value standard local currency, 2015 rising or falling in Rwanda?
Over the last ten years it is up 119.4%. The long-run trend across the full record is volatile.
Where does this Rwanda 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 Rwanda. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 22 August 2026, from https://economy.statizoid.com/stat/gross-fixed-capital-formation-value-standard-local-currency-2015-prices/rwanda/

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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).