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

Italy: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 150,491 million SLC in 2023. ▼ Falling

Latest (2023)
150,491 million SLC
Change on year
up 1.0%
World rank
70th
of 179 countries
All-time high
194,551 million SLC
in 1995
All-time low
147,658 million SLC
in 2020
Years of data
29
1995–2023

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

050.0k100.0k150.0k200.0k1995200920231995: 194.6k million SLC1996: 192.4k million SLC1997: 191.1k million SLC1998: 190.0k million SLC1999: 188.2k million SLC2000: 188.4k million SLC2001: 187.8k million SLC2002: 186.9k million SLC2003: 186.9k million SLC2004: 187.3k million SLC2005: 187.6k million SLC2006: 187.6k million SLC2007: 187.2k million SLC2008: 185.1k million SLC2009: 182.8k million SLC2010: 180.8k million SLC2011: 180.0k million SLC2012: 175.7k million SLC2013: 170.3k million SLC2014: 165.0k million SLC2015: 158.5k million SLC2016: 155.1k million SLC2017: 152.6k million SLC2018: 151.8k million SLC2019: 150.1k million SLC2020: 147.7k million SLC2021: 148.0k million SLC2022: 149.0k million SLC2023: 150.5k 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 Italy is 150,491 million SLC, measured in 2023.

The figure is up 1.0% on the previous year and down 11.6% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Italy peaked at 194,551 million SLC in 1995 and was at its lowest, 147,658 million SLC, in 2020.

Italy ranks 70th of 179 countries on this measure, in the middle of the range.

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

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

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Italy, 1995 to 2023.
Year million SLC Change
1995 194,551 million SLC
1996 192,396 million SLC -1.1%
1997 191,138 million SLC -0.7%
1998 190,031 million SLC -0.6%
1999 188,249 million SLC -0.9%
2000 188,417 million SLC +0.1%
2001 187,830 million SLC -0.3%
2002 186,918 million SLC -0.5%
2003 186,947 million SLC +0.0%
2004 187,346 million SLC +0.2%
2005 187,632 million SLC +0.2%
2006 187,585 million SLC -0.0%
2007 187,153 million SLC -0.2%
2008 185,108 million SLC -1.1%
2009 182,804 million SLC -1.2%
2010 180,831 million SLC -1.1%
2011 180,023 million SLC -0.4%
2012 175,718 million SLC -2.4%
2013 170,310 million SLC -3.1%
2014 164,987 million SLC -3.1%
2015 158,516 million SLC -3.9%
2016 155,102 million SLC -2.2%
2017 152,556 million SLC -1.6%
2018 151,818 million SLC -0.5%
2019 150,132 million SLC -1.1%
2020 147,658 million SLC -1.6%
2021 147,969 million SLC +0.2%
2022 148,953 million SLC +0.7%
2023 150,491 million SLC +1.0%

Averages by decade

DecadeAverage LowestHighest Years
1990s 191,273 million SLC 188,249 million SLC 194,551 million SLC 5
2000s 186,774 million SLC 182,804 million SLC 188,417 million SLC 10
2010s 163,999 million SLC 150,132 million SLC 180,831 million SLC 10
2020s 148,768 million SLC 147,658 million SLC 150,491 million SLC 4

Countries ranked near Italy

  1. 67 Guyana 191,748 million SLC compare
  2. 68 Romania 151,344 million SLC compare
  3. 69 Germany 150,988 million SLC compare
  4. 71 Haiti 149,162 million SLC compare
  5. 72 Australia 147,301 million SLC compare
  6. 73 Comoros 139,206 million SLC compare

See the full ranking of 192 places →

More environment data for Italy

All data for Italy →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Italy?
Net capital stocks (agriculture, forestry and fishing) — value in Italy was 150,491 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 Italy?
The highest recorded value was 194,551 million SLC in 1995.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Italy?
The lowest recorded value was 147,658 million SLC in 2020.
How does Italy rank for net capital stocks (agriculture, forestry and fishing) — value?
Italy ranks 70th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Italy?
Over the last ten years it is down 11.6%. The long-run trend across the full record is falling.
Where does this Italy 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, 2015 prices. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Italy. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 12 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency-2015/italy/

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About this data

Indicator
Net Capital Stocks (Agriculture, Forestry and Fishing) — 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
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.