Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Croatia
Croatia: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 2,504 million SLC in 2023. ▼ Falling
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Croatia, 2000–2023
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 Croatia is 2,504 million SLC, measured in 2023.
The figure is up 14.6% on the previous year and up 25.8% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Croatia peaked at 2,664 million SLC in 2000 and was at its lowest, 1,729 million SLC, in 2016.
Croatia ranks 137th of 179 countries on this measure, in the bottom quarter.
The long-run direction has been consistently falling across the 24 years of available data.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Croatia, year by year
| Year | million SLC | Change |
|---|---|---|
| 2000 | 2,664 million SLC | — |
| 2001 | 2,542 million SLC | -4.6% |
| 2002 | 2,451 million SLC | -3.6% |
| 2003 | 2,380 million SLC | -2.9% |
| 2004 | 2,288 million SLC | -3.9% |
| 2005 | 2,442 million SLC | +6.7% |
| 2006 | 2,445 million SLC | +0.1% |
| 2007 | 2,344 million SLC | -4.1% |
| 2008 | 2,385 million SLC | +1.7% |
| 2009 | 2,361 million SLC | -1.0% |
| 2010 | 2,286 million SLC | -3.2% |
| 2011 | 2,265 million SLC | -0.9% |
| 2012 | 2,102 million SLC | -7.2% |
| 2013 | 1,990 million SLC | -5.3% |
| 2014 | 1,839 million SLC | -7.6% |
| 2015 | 1,759 million SLC | -4.3% |
| 2016 | 1,729 million SLC | -1.7% |
| 2017 | 1,737 million SLC | +0.5% |
| 2018 | 1,744 million SLC | +0.4% |
| 2019 | 1,808 million SLC | +3.7% |
| 2020 | 1,871 million SLC | +3.5% |
| 2021 | 1,969 million SLC | +5.2% |
| 2022 | 2,184 million SLC | +10.9% |
| 2023 | 2,504 million SLC | +14.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 2,430 million SLC | 2,288 million SLC | 2,664 million SLC | 10 |
| 2010s | 1,926 million SLC | 1,729 million SLC | 2,286 million SLC | 10 |
| 2020s | 2,132 million SLC | 1,871 million SLC | 2,504 million SLC | 4 |
Countries ranked near Croatia
More environment data for Croatia
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.487 °C (2025)
- Temperature change 2.13 °C (2025)
- Land area equipped for irrigation — Area, annual growth rate 0 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 11.13 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 0.0008 million SLC per person (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, annual 11.24 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, per unit 0 million USD per US$ of GDP (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, per 0.0008 million USD per person (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 0.4492 % change on previous year (2024)
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 2,504 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 2,664 million SLC in 2000.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Croatia?
- The lowest recorded value was 1,729 million SLC in 2016.
- How does Croatia rank for net capital stocks (agriculture, forestry and fishing) — value?
- Croatia ranks 137th 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 25.8%. The long-run trend across the full record is falling.
- 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, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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.