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

Croatia: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 3,127 million SLC in 2023. ▲ Rising

Latest (2023)
3,127 million SLC
Change on year
up 15.8%
World rank
140th
of 179 countries
All-time high
3,127 million SLC
in 2023
All-time low
1,747 million SLC
in 2016
Years of data
24
2000–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Croatia, 2000–2023

01.0k2.0k3.0k2000201120232000: 1.9k million SLC2001: 2.0k million SLC2002: 2.0k million SLC2003: 2.1k million SLC2004: 2.1k million SLC2005: 2.3k million SLC2006: 2.4k million SLC2007: 2.4k million SLC2008: 2.5k million SLC2009: 2.5k million SLC2010: 2.4k million SLC2011: 2.3k million SLC2012: 2.2k million SLC2013: 2.1k million SLC2014: 1.9k million SLC2015: 1.8k million SLC2016: 1.7k million SLC2017: 1.8k million SLC2018: 1.9k million SLC2019: 2.0k million SLC2020: 2.1k million SLC2021: 2.2k million SLC2022: 2.7k million SLC2023: 3.1k million SLC

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

Analysis

In 2023, net capital stocks (agriculture, forestry and fishing) — value in Croatia stood at 3,127 million SLC. That is the highest value across all 24 years on record.

The figure is up 15.8% on the previous year and up 51.2% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Croatia peaked at 3,127 million SLC in 2023 and was at its lowest, 1,747 million SLC, in 2016.

Croatia ranks 140th of 179 countries on this measure, in the bottom quarter.

The long-run direction has been consistently rising across the 24 years of available data.

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

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Croatia, 2000 to 2023.
Year million SLC Change
2000 1,937 million SLC
2001 1,952 million SLC +0.8%
2002 2,017 million SLC +3.3%
2003 2,059 million SLC +2.1%
2004 2,067 million SLC +0.4%
2005 2,268 million SLC +9.7%
2006 2,387 million SLC +5.2%
2007 2,415 million SLC +1.2%
2008 2,525 million SLC +4.6%
2009 2,506 million SLC -0.8%
2010 2,357 million SLC -5.9%
2011 2,348 million SLC -0.4%
2012 2,192 million SLC -6.6%
2013 2,069 million SLC -5.6%
2014 1,911 million SLC -7.6%
2015 1,759 million SLC -7.9%
2016 1,747 million SLC -0.7%
2017 1,798 million SLC +2.9%
2018 1,859 million SLC +3.4%
2019 1,978 million SLC +6.4%
2020 2,074 million SLC +4.8%
2021 2,244 million SLC +8.2%
2022 2,700 million SLC +20.4%
2023 3,127 million SLC +15.8%

Averages by decade

DecadeAverage LowestHighest Years
2000s 2,213 million SLC 1,937 million SLC 2,525 million SLC 10
2010s 2,002 million SLC 1,747 million SLC 2,357 million SLC 10
2020s 2,536 million SLC 2,074 million SLC 3,127 million SLC 4

Countries ranked near Croatia

  1. 137 Cuba 3,671 million SLC compare
  2. 138 Maldives 3,489 million SLC compare
  3. 139 Luxembourg 3,226 million SLC compare
  4. 141 Bosnia and Herzegovina 3,117 million SLC compare
  5. 142 Panama 2,575 million SLC compare
  6. 143 Palestine, State of 2,353 million SLC compare

See the full ranking of 192 places →

More environment data for Croatia

All data for Croatia →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Croatia?
Net capital stocks (agriculture, forestry and fishing) — value in Croatia was 3,127 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 Croatia?
The highest recorded value was 3,127 million SLC in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Croatia?
The lowest recorded value was 1,747 million SLC in 2016.
How does Croatia rank for net capital stocks (agriculture, forestry and fishing) — value?
Croatia ranks 140th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Croatia?
Over the last ten years it is up 51.2%. The long-run trend across the full record is rising.
Where does this Croatia 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 Croatia. 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/croatia/

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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.