Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Croatia

Croatia: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 406.37 million USD in 2023. ▲ Rising

Latest (2023)
406.37 million USD
Change on year
up 3.9%
World rank
73rd
of 182 countries
All-time high
576.04 million USD
in 2011
All-time low
37.18 million USD
in 2005
Years of data
24
2000–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Croatia, 2000–2023

02004006002000201120232000: 136.8 million USD2001: 168.1 million USD2002: 177.8 million USD2003: 234.2 million USD2004: 291 million USD2005: 37.2 million USD2006: 308.6 million USD2007: 452.6 million USD2008: 436.4 million USD2009: 401.3 million USD2010: 567.1 million USD2011: 576 million USD2012: 507.5 million USD2013: 470.3 million USD2014: 465.4 million USD2015: 385.8 million USD2016: 388.1 million USD2017: 400.3 million USD2018: 440.9 million USD2019: 417.9 million USD2020: 415.9 million USD2021: 440.2 million USD2022: 391 million USD2023: 406.4 million USD

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

Analysis

The most recent figure for consumption of fixed capital (agriculture, forestry and fishing) in Croatia is 406.37 million USD, measured in 2023.

Compared with earlier readings it is up 3.9% on the previous year and down 13.6% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Croatia peaked at 576.04 million USD in 2011 and was at its lowest, 37.18 million USD, in 2005.

Croatia ranks 73rd of 182 countries on this measure, in the middle of the range.

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

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Croatia, year by year

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value US$ in Croatia, 2000 to 2023.
Year million USD Change
2000 136.79 million USD
2001 168.12 million USD +22.9%
2002 177.77 million USD +5.7%
2003 234.19 million USD +31.7%
2004 290.99 million USD +24.3%
2005 37.18 million USD -87.2%
2006 308.61 million USD +729.9%
2007 452.65 million USD +46.7%
2008 436.35 million USD -3.6%
2009 401.34 million USD -8.0%
2010 567.11 million USD +41.3%
2011 576.04 million USD +1.6%
2012 507.54 million USD -11.9%
2013 470.25 million USD -7.3%
2014 465.37 million USD -1.0%
2015 385.75 million USD -17.1%
2016 388.13 million USD +0.6%
2017 400.34 million USD +3.1%
2018 440.91 million USD +10.1%
2019 417.9 million USD -5.2%
2020 415.88 million USD -0.5%
2021 440.17 million USD +5.8%
2022 391.01 million USD -11.2%
2023 406.37 million USD +3.9%

Averages by decade

DecadeAverage LowestHighest Years
2000s 264.4 million USD 37.18 million USD 452.65 million USD 10
2010s 461.94 million USD 385.75 million USD 576.04 million USD 10
2020s 413.36 million USD 391.01 million USD 440.17 million USD 4

Countries ranked near Croatia

  1. 70 Libya 452.98 million USD compare
  2. 71 Slovenia 428.94 million USD compare
  3. 72 Ecuador 409.48 million USD compare
  4. 74 Cameroon 389.77 million USD compare
  5. 75 Albania 383.42 million USD compare
  6. 76 Guinea 380.78 million USD compare

See the full ranking of 228 places →

More environment data for Croatia

All data for Croatia →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Croatia?
Consumption of fixed capital (agriculture, forestry and fishing) in Croatia was 406.37 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest consumption of fixed capital (agriculture, forestry and fishing) recorded in Croatia?
The highest recorded value was 576.04 million USD in 2011.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Croatia?
The lowest recorded value was 37.18 million USD in 2005.
How does Croatia rank for consumption of fixed capital (agriculture, forestry and fishing)?
Croatia ranks 73rd out of 182 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Croatia?
Over the last ten years it is down 13.6%. 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 Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value US$. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Croatia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-us/croatia/

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About this data

Indicator
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
228 places, 6,497 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.