Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Switzerland

Switzerland: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 53,306 million SLC in 2023. ▬ Flat

Latest (2023)
53,306 million SLC
Change on year
down 0.8%
World rank
96th
of 179 countries
All-time high
56,548 million SLC
in 2008
All-time low
49,627 million SLC
in 2017
Years of data
29
1995–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Switzerland, 1995–2023

020.0k40.0k60.0k1995200920231995: 52.4k million SLC1996: 51.5k million SLC1997: 50.2k million SLC1998: 49.9k million SLC1999: 51.1k million SLC2000: 51.4k million SLC2001: 52.8k million SLC2002: 51.3k million SLC2003: 50.6k million SLC2004: 51.3k million SLC2005: 53.0k million SLC2006: 53.3k million SLC2007: 55.5k million SLC2008: 56.5k million SLC2009: 54.9k million SLC2010: 53.7k million SLC2011: 54.4k million SLC2012: 53.4k million SLC2013: 52.8k million SLC2014: 52.7k million SLC2015: 50.9k million SLC2016: 50.7k million SLC2017: 49.6k million SLC2018: 50.8k million SLC2019: 50.9k million SLC2020: 50.4k million SLC2021: 50.7k million SLC2022: 53.7k million SLC2023: 53.3k million SLC

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

Analysis

The most recent figure for net capital stocks (agriculture, forestry and fishing) — value in Switzerland is 53,306 million SLC, measured in 2023.

That represents a change of down 0.8% on the previous year and up 1.0% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Switzerland peaked at 56,548 million SLC in 2008 and was at its lowest, 49,627 million SLC, in 2017.

That places Switzerland 96th out of 179 countries with data for 2023, putting it in the middle of the range.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Switzerland, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Switzerland, 1995 to 2023.
Year million SLC Change
1995 52,439 million SLC
1996 51,468 million SLC -1.9%
1997 50,199 million SLC -2.5%
1998 49,922 million SLC -0.6%
1999 51,125 million SLC +2.4%
2000 51,445 million SLC +0.6%
2001 52,804 million SLC +2.6%
2002 51,258 million SLC -2.9%
2003 50,636 million SLC -1.2%
2004 51,347 million SLC +1.4%
2005 53,030 million SLC +3.3%
2006 53,266 million SLC +0.4%
2007 55,544 million SLC +4.3%
2008 56,548 million SLC +1.8%
2009 54,918 million SLC -2.9%
2010 53,655 million SLC -2.3%
2011 54,448 million SLC +1.5%
2012 53,423 million SLC -1.9%
2013 52,768 million SLC -1.2%
2014 52,702 million SLC -0.1%
2015 50,889 million SLC -3.4%
2016 50,673 million SLC -0.4%
2017 49,627 million SLC -2.1%
2018 50,754 million SLC +2.3%
2019 50,883 million SLC +0.3%
2020 50,421 million SLC -0.9%
2021 50,666 million SLC +0.5%
2022 53,726 million SLC +6.0%
2023 53,306 million SLC -0.8%

Averages by decade

DecadeAverage LowestHighest Years
1990s 51,031 million SLC 49,922 million SLC 52,439 million SLC 5
2000s 53,080 million SLC 50,636 million SLC 56,548 million SLC 10
2010s 51,982 million SLC 49,627 million SLC 54,448 million SLC 10
2020s 52,030 million SLC 50,421 million SLC 53,726 million SLC 4

Countries ranked near Switzerland

  1. 93 Netherlands (Kingdom of the) 63,889 million SLC compare
  2. 94 North Macedonia 59,912 million SLC compare
  3. 95 Belarus 54,209 million SLC compare
  4. 97 New Zealand 43,544 million SLC compare
  5. 98 Turkmenistan 41,242 million SLC compare
  6. 99 Mauritius 41,166 million SLC compare

See the full ranking of 192 places →

More environment data for Switzerland

All data for Switzerland →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Switzerland?
Net capital stocks (agriculture, forestry and fishing) — value in Switzerland was 53,306 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Switzerland?
The highest recorded value was 56,548 million SLC in 2008.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Switzerland?
The lowest recorded value was 49,627 million SLC in 2017.
How does Switzerland rank for net capital stocks (agriculture, forestry and fishing) — value?
Switzerland ranks 96th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Switzerland?
Over the last ten years it is up 1.0%. The long-run trend across the full record is flat.
Where does this Switzerland data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Switzerland. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/switzerland/

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About this data

Indicator
Net Capital Stocks (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
192 places, 5,493 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.