Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Serbia

Serbia: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ was 8,673 million USD in 2023. ▲ Rising

Latest (2023)
8,673 million USD
Change on year
up 2.8%
World rank
65th
of 180 countries
All-time high
9,131 million USD
in 2008
All-time low
3,198 million USD
in 2000
Years of data
24
2000–2023

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

02.0k4.0k6.0k8.0k10.0k2000201120232000: 3.2k million USD2001: 4.0k million USD2002: 5.0k million USD2003: 5.9k million USD2004: 6.5k million USD2005: 6.4k million USD2006: 6.9k million USD2007: 8.2k million USD2008: 9.1k million USD2009: 8.0k million USD2010: 7.5k million USD2011: 8.4k million USD2012: 7.4k million USD2013: 7.7k million USD2014: 7.6k million USD2015: 6.4k million USD2016: 6.3k million USD2017: 6.7k million USD2018: 7.4k million USD2019: 7.2k million USD2020: 7.4k million USD2021: 8.3k million USD2022: 8.4k million USD2023: 8.7k million USD

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

Analysis

The most recent figure for net capital stocks (agriculture, forestry and fishing) — value us$ in Serbia is 8,673 million USD, measured in 2023.

The figure is up 2.8% on the previous year and up 11.9% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value us$ in Serbia peaked at 9,131 million USD in 2008 and was at its lowest, 3,198 million USD, in 2000.

Serbia ranks 65th of 180 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.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Serbia, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Serbia, 2000 to 2023.
Year million USD Change
2000 3,198 million USD
2001 4,000 million USD +25.1%
2002 4,951 million USD +23.8%
2003 5,946 million USD +20.1%
2004 6,516 million USD +9.6%
2005 6,359 million USD -2.4%
2006 6,942 million USD +9.2%
2007 8,152 million USD +17.4%
2008 9,131 million USD +12.0%
2009 8,029 million USD -12.1%
2010 7,469 million USD -7.0%
2011 8,354 million USD +11.9%
2012 7,440 million USD -10.9%
2013 7,749 million USD +4.2%
2014 7,582 million USD -2.2%
2015 6,403 million USD -15.5%
2016 6,309 million USD -1.5%
2017 6,673 million USD +5.8%
2018 7,388 million USD +10.7%
2019 7,237 million USD -2.0%
2020 7,382 million USD +2.0%
2021 8,264 million USD +12.0%
2022 8,435 million USD +2.1%
2023 8,673 million USD +2.8%

Averages by decade

DecadeAverage LowestHighest Years
2000s 6,323 million USD 3,198 million USD 9,131 million USD 10
2010s 7,260 million USD 6,309 million USD 8,354 million USD 10
2020s 8,188 million USD 7,382 million USD 8,673 million USD 4

Countries ranked near Serbia

  1. 62 Kazakhstan 9,596 million USD compare
  2. 63 Uganda 9,396 million USD compare
  3. 64 Uruguay 9,346 million USD compare
  4. 66 Bulgaria 8,606 million USD compare
  5. 67 Paraguay 8,337 million USD compare
  6. 68 Israel 8,237 million USD compare

See the full ranking of 226 places →

More environment data for Serbia

All data for Serbia →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value us$ in Serbia?
Net capital stocks (agriculture, forestry and fishing) — value us$ in Serbia was 8,673 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest net capital stocks (agriculture, forestry and fishing) — value us$ recorded in Serbia?
The highest recorded value was 9,131 million USD in 2008.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value us$ recorded in Serbia?
The lowest recorded value was 3,198 million USD in 2000.
How does Serbia rank for net capital stocks (agriculture, forestry and fishing) — value us$?
Serbia ranks 65th out of 180 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value us$ rising or falling in Serbia?
Over the last ten years it is up 11.9%. The long-run trend across the full record is rising.
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 US$. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Serbia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 03 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-us/serbia/

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About this data

Indicator
Net Capital Stocks (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
226 places, 6,479 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.