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

Germany: Gross Fixed Capital Formation — Value Standard Local Currency, 2015 was 653,697 million SLC in 2024. ▲ Rising

Latest (2024)
653,697 million SLC
Change on year
down 2.7%
World rank
58th
of 194 countries
All-time high
697,706 million SLC
in 2019
All-time low
316,944 million SLC
in 1975
Years of data
55
1970–2024

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

0200.0k400.0k600.0k197019972024

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 Germany is 653,697 million SLC, measured in 2024.

The figure is down 2.7% on the previous year and up 7.4% over ten years.

Over the whole period, gross fixed capital formation — value standard local currency, 2015 in Germany peaked at 697,706 million SLC in 2019 and was at its lowest, 316,944 million SLC, in 1975.

Germany ranks 58th of 194 countries on this measure, in the middle of the range.

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

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

Annual values for Gross Fixed Capital Formation — Value Standard Local Currency, 2015 prices in Germany, 1970 to 2024.
Year million SLC Change
1970 332,321 million SLC
1971 352,177 million SLC +6.0%
1972 361,632 million SLC +2.7%
1973 363,274 million SLC +0.5%
1974 331,873 million SLC -8.6%
1975 316,944 million SLC -4.5%
1976 328,042 million SLC +3.5%
1977 342,772 million SLC +4.5%
1978 359,343 million SLC +4.8%
1979 381,637 million SLC +6.2%
1980 390,246 million SLC +2.3%
1981 372,033 million SLC -4.7%
1982 355,063 million SLC -4.6%
1983 365,713 million SLC +3.0%
1984 366,260 million SLC +0.1%
1985 368,748 million SLC +0.7%
1986 380,492 million SLC +3.2%
1987 388,405 million SLC +2.1%
1988 408,012 million SLC +5.0%
1989 437,522 million SLC +7.2%
1990 472,505 million SLC +8.0%
1991 497,636 million SLC +5.3%
1992 517,541 million SLC +4.0%
1993 495,469 million SLC -4.3%
1994 513,208 million SLC +3.6%
1995 512,193 million SLC -0.2%
1996 509,891 million SLC -0.4%
1997 512,531 million SLC +0.5%
1998 533,181 million SLC +4.0%
1999 556,066 million SLC +4.3%
2000 567,644 million SLC +2.1%
2001 552,816 million SLC -2.6%
2002 519,234 million SLC -6.1%
2003 510,839 million SLC -1.6%
2004 508,537 million SLC -0.5%
2005 513,073 million SLC +0.9%
2006 551,733 million SLC +7.5%
2007 571,706 million SLC +3.6%
2008 580,711 million SLC +1.6%
2009 524,583 million SLC -9.7%
2010 554,509 million SLC +5.7%
2011 595,809 million SLC +7.4%
2012 594,523 million SLC -0.2%
2013 587,684 million SLC -1.2%
2014 608,808 million SLC +3.6%
2015 619,506 million SLC +1.8%
2016 643,000 million SLC +3.8%
2017 659,994 million SLC +2.6%
2018 683,826 million SLC +3.6%
2019 697,706 million SLC +2.0%
2020 677,056 million SLC -3.0%
2021 681,389 million SLC +0.6%
2022 680,035 million SLC -0.2%
2023 671,842 million SLC -1.2%
2024 653,697 million SLC -2.7%

Averages by decade

DecadeAverage LowestHighest Years
1970s 347,002 million SLC 316,944 million SLC 381,637 million SLC 10
1980s 383,249 million SLC 355,063 million SLC 437,522 million SLC 10
1990s 512,022 million SLC 472,505 million SLC 556,066 million SLC 10
2000s 540,088 million SLC 508,537 million SLC 580,711 million SLC 10
2010s 624,536 million SLC 554,509 million SLC 697,706 million SLC 10
2020s 672,804 million SLC 653,697 million SLC 681,389 million SLC 5

Countries ranked near Germany

  1. 55 Argentina 822,455 million SLC compare
  2. 56 Iceland 764,626 million SLC compare
  3. 57 South Africa 671,138 million SLC compare
  4. 59 Burundi 628,226 million SLC compare
  5. 60 Guyana 558,666 million SLC compare
  6. 61 France 532,659 million SLC compare

See the full ranking of 209 places →

More economy & growth data for Germany

All data for Germany →

Frequently asked questions

What is gross fixed capital formation — value standard local currency, 2015 in Germany?
Gross fixed capital formation — value standard local currency, 2015 in Germany was 653,697 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 Germany?
The highest recorded value was 697,706 million SLC in 2019.
What is the lowest gross fixed capital formation — value standard local currency, 2015 recorded in Germany?
The lowest recorded value was 316,944 million SLC in 1975.
How does Germany rank for gross fixed capital formation — value standard local currency, 2015?
Germany ranks 58th out of 194 countries with data for 2024.
Is gross fixed capital formation — value standard local currency, 2015 rising or falling in Germany?
Over the last ten years it is up 7.4%. The long-run trend across the full record is rising.
Where does this Germany 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 Germany. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 23 August 2026, from https://economy.statizoid.com/stat/gross-fixed-capital-formation-value-standard-local-currency-2015-prices/germany/

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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).