Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Serbia

Serbia: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 619.86 million USD in 2023. ▲ Rising

Latest (2023)
619.86 million USD
Change on year
up 12.9%
World rank
74th
of 182 countries
All-time high
619.86 million USD
in 2023
All-time low
261.78 million USD
in 2005
Years of data
24
2000–2023

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Serbia, 2000–2023

02004006002000201120232000: 452.3 million USD2001: 401.1 million USD2002: 296.6 million USD2003: 275.3 million USD2004: 307.5 million USD2005: 261.8 million USD2006: 306.5 million USD2007: 323.8 million USD2008: 418.8 million USD2009: 384.2 million USD2010: 349.3 million USD2011: 413.6 million USD2012: 390 million USD2013: 435.5 million USD2014: 416.5 million USD2015: 398.7 million USD2016: 420.5 million USD2017: 392.6 million USD2018: 427.8 million USD2019: 445.8 million USD2020: 483.8 million USD2021: 530.8 million USD2022: 549.2 million USD2023: 619.9 million USD

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

Analysis

In 2023, gross fixed capital formation (agriculture, forestry and fishing) in Serbia stood at 619.86 million USD. That is the highest value across all 24 years on record.

Compared with earlier readings it is up 12.9% on the previous year and up 42.3% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Serbia peaked at 619.86 million USD in 2023 and was at its lowest, 261.78 million USD, in 2005.

Serbia ranks 74th 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.

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Serbia, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Serbia, 2000 to 2023.
Year million USD Change
2000 452.28 million USD
2001 401.09 million USD -11.3%
2002 296.64 million USD -26.0%
2003 275.26 million USD -7.2%
2004 307.46 million USD +11.7%
2005 261.78 million USD -14.9%
2006 306.52 million USD +17.1%
2007 323.83 million USD +5.6%
2008 418.82 million USD +29.3%
2009 384.25 million USD -8.3%
2010 349.28 million USD -9.1%
2011 413.58 million USD +18.4%
2012 389.96 million USD -5.7%
2013 435.49 million USD +11.7%
2014 416.55 million USD -4.4%
2015 398.65 million USD -4.3%
2016 420.46 million USD +5.5%
2017 392.59 million USD -6.6%
2018 427.83 million USD +9.0%
2019 445.79 million USD +4.2%
2020 483.75 million USD +8.5%
2021 530.79 million USD +9.7%
2022 549.25 million USD +3.5%
2023 619.86 million USD +12.9%

Averages by decade

DecadeAverage LowestHighest Years
2000s 342.79 million USD 261.78 million USD 452.28 million USD 10
2010s 409.02 million USD 349.28 million USD 445.79 million USD 10
2020s 545.91 million USD 483.75 million USD 619.86 million USD 4

Countries ranked near Serbia

  1. 71 Nepal 691.41 million USD compare
  2. 72 Croatia 660.47 million USD compare
  3. 73 Honduras 631.91 million USD compare
  4. 75 Guinea 592.28 million USD compare
  5. 76 Senegal 591.3 million USD compare
  6. 77 Mali 519.33 million USD compare

See the full ranking of 228 places →

More environment data for Serbia

All data for Serbia →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Serbia?
Gross fixed capital formation (agriculture, forestry and fishing) in Serbia was 619.86 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross fixed capital formation (agriculture, forestry and fishing) recorded in Serbia?
The highest recorded value was 619.86 million USD in 2023.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Serbia?
The lowest recorded value was 261.78 million USD in 2005.
How does Serbia rank for gross fixed capital formation (agriculture, forestry and fishing)?
Serbia ranks 74th out of 182 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Serbia?
Over the last ten years it is up 42.3%. 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 Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Serbia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 September 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-us-2015-prices/serbia/

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About this data

Indicator
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
228 places, 6,512 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.