Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Germany

Germany: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 13,543 million SLC in 2023. ▲ Rising

Latest (2023)
13,543 million SLC
Change on year
up 14.0%
World rank
81st
of 181 countries
All-time high
13,543 million SLC
in 2023
All-time low
5,968 million SLC
in 2003
Years of data
29
1995–2023

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Germany, 1995–2023

05.0k10.0k15.0k1995200920231995: 6.5k million SLC1996: 6.5k million SLC1997: 6.1k million SLC1998: 6.6k million SLC1999: 6.8k million SLC2000: 6.7k million SLC2001: 6.8k million SLC2002: 6.6k million SLC2003: 6.0k million SLC2004: 6.0k million SLC2005: 7.3k million SLC2006: 8.6k million SLC2007: 8.4k million SLC2008: 9.7k million SLC2009: 8.9k million SLC2010: 8.1k million SLC2011: 10.0k million SLC2012: 9.5k million SLC2013: 9.7k million SLC2014: 9.7k million SLC2015: 9.6k million SLC2016: 9.1k million SLC2017: 9.5k million SLC2018: 9.6k million SLC2019: 9.7k million SLC2020: 9.7k million SLC2021: 10.2k million SLC2022: 11.9k million SLC2023: 13.5k million SLC

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

Analysis

Germany recorded 13,543 million SLC for gross fixed capital formation (agriculture, forestry and fishing) in 2023. That is the highest value across all 29 years on record.

The figure is up 14.0% on the previous year and up 40.0% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Germany peaked at 13,543 million SLC in 2023 and was at its lowest, 5,968 million SLC, in 2003.

Germany ranks 81st of 181 countries on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 29 years of available data.

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Germany, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Germany, 1995 to 2023.
Year million SLC Change
1995 6,452 million SLC
1996 6,527 million SLC +1.2%
1997 6,076 million SLC -6.9%
1998 6,599 million SLC +8.6%
1999 6,771 million SLC +2.6%
2000 6,744 million SLC -0.4%
2001 6,800 million SLC +0.8%
2002 6,646 million SLC -2.3%
2003 5,968 million SLC -10.2%
2004 5,985 million SLC +0.3%
2005 7,281 million SLC +21.7%
2006 8,640 million SLC +18.7%
2007 8,444 million SLC -2.3%
2008 9,746 million SLC +15.4%
2009 8,948 million SLC -8.2%
2010 8,069 million SLC -9.8%
2011 9,965 million SLC +23.5%
2012 9,513 million SLC -4.5%
2013 9,677 million SLC +1.7%
2014 9,708 million SLC +0.3%
2015 9,551 million SLC -1.6%
2016 9,099 million SLC -4.7%
2017 9,510 million SLC +4.5%
2018 9,598 million SLC +0.9%
2019 9,659 million SLC +0.6%
2020 9,741 million SLC +0.8%
2021 10,247 million SLC +5.2%
2022 11,878 million SLC +15.9%
2023 13,543 million SLC +14.0%

Averages by decade

DecadeAverage LowestHighest Years
1990s 6,485 million SLC 6,076 million SLC 6,771 million SLC 5
2000s 7,520 million SLC 5,968 million SLC 9,746 million SLC 10
2010s 9,435 million SLC 8,069 million SLC 9,965 million SLC 10
2020s 11,352 million SLC 9,741 million SLC 13,543 million SLC 4

Countries ranked near Germany

  1. 78 Guinea-Bissau 16,405 million SLC compare
  2. 79 Ghana 14,778 million SLC compare
  3. 80 Italy 14,377 million SLC compare
  4. 82 Malaysia 13,048 million SLC compare
  5. 83 Nicaragua 12,876 million SLC compare
  6. 84 Saudi Arabia 12,535 million SLC compare

See the full ranking of 194 places →

More environment data for Germany

All data for Germany →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Germany?
Gross fixed capital formation (agriculture, forestry and fishing) in Germany was 13,543 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross fixed capital formation (agriculture, forestry and fishing) recorded in Germany?
The highest recorded value was 13,543 million SLC in 2023.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Germany?
The lowest recorded value was 5,968 million SLC in 2003.
How does Germany rank for gross fixed capital formation (agriculture, forestry and fishing)?
Germany ranks 81st out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Germany?
Over the last ten years it is up 40.0%. 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 (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Germany. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 August 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-standard-local/germany/

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About this data

Indicator
Gross Fixed Capital Formation (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
194 places, 5,531 data points, 1995–2023
Last refreshed

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.