Value Added (Agriculture, Forestry and Fishing) — Value Standard in Serbia

Serbia: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 387,693 million SLC in 2024. ◆ Volatile

Latest (2024)
387,693 million SLC
Change on year
down 9.1%
World rank
63rd
of 199 countries
All-time high
458,499 million SLC
in 2022
All-time low
0 million SLC
in 1990
Years of data
35
1990–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Serbia, 1990–2024

0100.0k200.0k300.0k400.0k500.0k1990200720241990: 0 million SLC1991: 0 million SLC1992: 0 million SLC1993: 5.2k million SLC1994: 5.5k million SLC1995: 9.8k million SLC1996: 20.8k million SLC1997: 25.5k million SLC1998: 32.3k million SLC1999: 41.6k million SLC2000: 74.1k million SLC2001: 127.1k million SLC2002: 107.7k million SLC2003: 104.7k million SLC2004: 130.2k million SLC2005: 124.5k million SLC2006: 148.7k million SLC2007: 154.4k million SLC2008: 216.5k million SLC2009: 219.8k million SLC2010: 214.6k million SLC2011: 268.9k million SLC2012: 245.2k million SLC2013: 305.6k million SLC2014: 294.0k million SLC2015: 289.7k million SLC2016: 308.4k million SLC2017: 286.3k million SLC2018: 321.8k million SLC2019: 322.8k million SLC2020: 349.2k million SLC2021: 394.7k million SLC2022: 458.5k million SLC2023: 426.6k million SLC2024: 387.7k million SLC

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

Analysis

In 2024, value added (agriculture, forestry and fishing) — value standard in Serbia stood at 387,693 million SLC.

That represents a change of down 9.1% on the previous year and up 31.9% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Serbia peaked at 458,499 million SLC in 2022 and was at its lowest, 0 million SLC, in 1990.

Serbia ranks 63rd of 199 countries on this measure, in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Serbia, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Serbia, 1990 to 2024.
Year million SLC Change
1990 0 million SLC
1991 0 million SLC
1992 0 million SLC
1993 5,243 million SLC +174760333233.3%
1994 5,520 million SLC +5.3%
1995 9,782 million SLC +77.2%
1996 20,799 million SLC +112.6%
1997 25,518 million SLC +22.7%
1998 32,274 million SLC +26.5%
1999 41,643 million SLC +29.0%
2000 74,138 million SLC +78.0%
2001 127,074 million SLC +71.4%
2002 107,688 million SLC -15.3%
2003 104,679 million SLC -2.8%
2004 130,192 million SLC +24.4%
2005 124,467 million SLC -4.4%
2006 148,693 million SLC +19.5%
2007 154,414 million SLC +3.8%
2008 216,526 million SLC +40.2%
2009 219,799 million SLC +1.5%
2010 214,618 million SLC -2.4%
2011 268,939 million SLC +25.3%
2012 245,164 million SLC -8.8%
2013 305,555 million SLC +24.6%
2014 293,980 million SLC -3.8%
2015 289,704 million SLC -1.5%
2016 308,422 million SLC +6.5%
2017 286,315 million SLC -7.2%
2018 321,765 million SLC +12.4%
2019 322,840 million SLC +0.3%
2020 349,165 million SLC +8.2%
2021 394,708 million SLC +13.0%
2022 458,499 million SLC +16.2%
2023 426,644 million SLC -6.9%
2024 387,693 million SLC -9.1%

Averages by decade

DecadeAverage LowestHighest Years
1990s 14,078 million SLC 0 million SLC 41,643 million SLC 10
2000s 140,767 million SLC 74,138 million SLC 219,799 million SLC 10
2010s 285,730 million SLC 214,618 million SLC 322,840 million SLC 10
2020s 403,342 million SLC 349,165 million SLC 458,499 million SLC 5

Countries ranked near Serbia

  1. 60 South Sudan 468,790 million SLC compare
  2. 61 Albania 430,842 million SLC compare
  3. 62 Guyana 408,231 million SLC compare
  4. 64 Mozambique 376,177 million SLC compare
  5. 65 Jamaica 305,692 million SLC compare
  6. 66 Comoros 256,032 million SLC compare

See the full ranking of 215 places →

More environment data for Serbia

All data for Serbia →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Serbia?
Value added (agriculture, forestry and fishing) — value standard in Serbia was 387,693 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Serbia?
The highest recorded value was 458,499 million SLC in 2022.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Serbia?
The lowest recorded value was 0 million SLC in 1990.
How does Serbia rank for value added (agriculture, forestry and fishing) — value standard?
Serbia ranks 63rd out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Serbia?
Over the last ten years it is up 31.9%. The long-run trend across the full record is volatile.
Where does this Serbia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Serbia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 31 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/serbia/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
215 places, 10,919 data points, 1970–2024
Last refreshed

The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).