Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Denmark

Denmark: Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value was 475,723 million SLC in 2022. ▲ Rising

Latest (2022)
475,723 million SLC
Change on year
up 8.4%
World rank
4th
of 26 countries
All-time high
475,723 million SLC
in 2022
All-time low
302,865 million SLC
in 1995
Years of data
28
1995–2022

Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Denmark, 1995–2022

0100.0k200.0k300.0k400.0k500.0k1995200820221995: 302.9k million SLC1996: 312.6k million SLC1997: 321.2k million SLC1998: 321.6k million SLC1999: 321.2k million SLC2000: 329.7k million SLC2001: 339.1k million SLC2002: 340.0k million SLC2003: 338.5k million SLC2004: 344.6k million SLC2005: 354.1k million SLC2006: 370.0k million SLC2007: 385.8k million SLC2008: 364.4k million SLC2009: 357.3k million SLC2010: 365.4k million SLC2011: 370.7k million SLC2012: 372.6k million SLC2013: 372.6k million SLC2014: 371.6k million SLC2015: 377.8k million SLC2016: 383.6k million SLC2017: 395.7k million SLC2018: 394.7k million SLC2019: 408.4k million SLC2020: 416.1k million SLC2021: 438.9k million SLC2022: 475.7k million SLC

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

Analysis

In 2022, gross capital stocks (agriculture, forestry and fishing) — value in Denmark stood at 475,723 million SLC. That is the highest value across all 28 years on record.

That represents a change of up 8.4% on the previous year and up 27.7% over ten years.

Over the whole period, gross capital stocks (agriculture, forestry and fishing) — value in Denmark peaked at 475,723 million SLC in 2022 and was at its lowest, 302,865 million SLC, in 1995.

Denmark ranks 4th of 26 countries on this measure, in the top quarter.

The long-run direction has been consistently rising across the 28 years of available data.

Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Denmark, year by year

Annual values for Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Denmark, 1995 to 2022.
Year million SLC Change
1995 302,865 million SLC
1996 312,597 million SLC +3.2%
1997 321,238 million SLC +2.8%
1998 321,558 million SLC +0.1%
1999 321,189 million SLC -0.1%
2000 329,661 million SLC +2.6%
2001 339,125 million SLC +2.9%
2002 339,954 million SLC +0.2%
2003 338,544 million SLC -0.4%
2004 344,630 million SLC +1.8%
2005 354,130 million SLC +2.8%
2006 369,998 million SLC +4.5%
2007 385,837 million SLC +4.3%
2008 364,353 million SLC -5.6%
2009 357,298 million SLC -1.9%
2010 365,442 million SLC +2.3%
2011 370,695 million SLC +1.4%
2012 372,643 million SLC +0.5%
2013 372,619 million SLC -0.0%
2014 371,607 million SLC -0.3%
2015 377,776 million SLC +1.7%
2016 383,589 million SLC +1.5%
2017 395,742 million SLC +3.2%
2018 394,696 million SLC -0.3%
2019 408,428 million SLC +3.5%
2020 416,051 million SLC +1.9%
2021 438,931 million SLC +5.5%
2022 475,723 million SLC +8.4%

Averages by decade

DecadeAverage LowestHighest Years
1990s 315,889 million SLC 302,865 million SLC 321,558 million SLC 5
2000s 352,353 million SLC 329,661 million SLC 385,837 million SLC 10
2010s 381,324 million SLC 365,442 million SLC 408,428 million SLC 10
2020s 443,568 million SLC 416,051 million SLC 475,723 million SLC 3

Countries ranked near Denmark

  1. 1 Republic of Korea 106.73 million million SLC compare
  2. 2 Hungary 19.71 million million SLC compare
  3. 3 Czechia 892,573 million SLC compare
  4. 5 Germany 442,450 million SLC compare
  5. 6 Italy 396,536 million SLC compare
  6. 7 Poland 329,068 million SLC compare

See the full ranking of 26 places →

More environment data for Denmark

All data for Denmark →

Frequently asked questions

What is gross capital stocks (agriculture, forestry and fishing) — value in Denmark?
Gross capital stocks (agriculture, forestry and fishing) — value in Denmark was 475,723 million SLC in 2022, according to Food and Agriculture Organization of the United Nations.
What is the highest gross capital stocks (agriculture, forestry and fishing) — value recorded in Denmark?
The highest recorded value was 475,723 million SLC in 2022.
What is the lowest gross capital stocks (agriculture, forestry and fishing) — value recorded in Denmark?
The lowest recorded value was 302,865 million SLC in 1995.
How does Denmark rank for gross capital stocks (agriculture, forestry and fishing) — value?
Denmark ranks 4th out of 26 countries with data for 2022.
Is gross capital stocks (agriculture, forestry and fishing) — value rising or falling in Denmark?
Over the last ten years it is up 27.7%. The long-run trend across the full record is rising.
Where does this Denmark data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Denmark. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 09 September 2026, from https://environment.statizoid.com/stat/gross-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/denmark/

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About this data

Indicator
Gross 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
26 places, 670 data points, 1995–2022
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.