Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Serbia
Serbia: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 761,930 million SLC in 2023. ▬ Flat
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Serbia, 2000–2023
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 Serbia stood at 761,930 million SLC.
Compared with earlier readings it is up 2.6% on the previous year and up 9.8% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Serbia peaked at 770,172 million SLC in 2000 and was at its lowest, 687,369 million SLC, in 2010.
Serbia ranks 43rd of 179 countries on this measure, in the top quarter.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Serbia, year by year
| Year | million SLC | Change |
|---|---|---|
| 2000 | 770,172 million SLC | — |
| 2001 | 766,296 million SLC | -0.5% |
| 2002 | 751,628 million SLC | -1.9% |
| 2003 | 735,583 million SLC | -2.1% |
| 2004 | 723,899 million SLC | -1.6% |
| 2005 | 708,095 million SLC | -2.2% |
| 2006 | 697,962 million SLC | -1.4% |
| 2007 | 690,263 million SLC | -1.1% |
| 2008 | 693,052 million SLC | +0.4% |
| 2009 | 692,026 million SLC | -0.1% |
| 2010 | 687,369 million SLC | -0.7% |
| 2011 | 689,779 million SLC | +0.4% |
| 2012 | 689,552 million SLC | -0.0% |
| 2013 | 694,144 million SLC | +0.7% |
| 2014 | 696,460 million SLC | +0.3% |
| 2015 | 696,749 million SLC | +0.0% |
| 2016 | 699,323 million SLC | +0.4% |
| 2017 | 698,800 million SLC | -0.1% |
| 2018 | 702,029 million SLC | +0.5% |
| 2019 | 706,959 million SLC | +0.7% |
| 2020 | 715,601 million SLC | +1.2% |
| 2021 | 728,688 million SLC | +1.8% |
| 2022 | 742,938 million SLC | +2.0% |
| 2023 | 761,930 million SLC | +2.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 722,898 million SLC | 690,263 million SLC | 770,172 million SLC | 10 |
| 2010s | 696,116 million SLC | 687,369 million SLC | 706,959 million SLC | 10 |
| 2020s | 737,289 million SLC | 715,601 million SLC | 761,930 million SLC | 4 |
Countries ranked near Serbia
More environment data for Serbia
- Historical exposure to drought — Land soil moisture anomaly -4.51 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -4.72 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.594 °C (2025)
- Temperature change 2.12 °C (2025)
- Cropland — Area, annual growth rate -2.3 % change on previous year (2024)
- Cropland — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Cropland — Area, per capita 0.0004 1000 ha per person (2024)
- Arable land — Area, annual growth rate -2.39 % change on previous year (2024)
- Arable land — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value in Serbia?
- Net capital stocks (agriculture, forestry and fishing) — value in Serbia was 761,930 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 Serbia?
- The highest recorded value was 770,172 million SLC in 2000.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Serbia?
- The lowest recorded value was 687,369 million SLC in 2010.
- How does Serbia rank for net capital stocks (agriculture, forestry and fishing) — value?
- Serbia ranks 43rd out of 179 countries with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Serbia?
- Over the last ten years it is up 9.8%. The long-run trend across the full record is flat.
- Where does this Serbia 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.