Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Slovenia

Slovenia: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 742.01 million USD in 2024. ▬ Flat

Latest (2024)
742.01 million USD
Change on year
down 3.5%
World rank
134th
of 200 countries
All-time high
931.27 million USD
in 2020
All-time low
680.4 million USD
in 2003
Years of data
35
1990–2024

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Slovenia, 1990–2024

02004006008001.0k1990200720241990: 814.3 million USD1991: 793.8 million USD1992: 740.5 million USD1993: 708.6 million USD1994: 738.7 million USD1995: 750 million USD1996: 792.8 million USD1997: 848.1 million USD1998: 829.5 million USD1999: 791.1 million USD2000: 794 million USD2001: 798.1 million USD2002: 909 million USD2003: 680.4 million USD2004: 871 million USD2005: 832.9 million USD2006: 817.3 million USD2007: 863.2 million USD2008: 833.5 million USD2009: 759.8 million USD2010: 774.7 million USD2011: 812.1 million USD2012: 740.3 million USD2013: 729.9 million USD2014: 720.9 million USD2015: 842.9 million USD2016: 824.9 million USD2017: 775.6 million USD2018: 908.9 million USD2019: 869.5 million USD2020: 931.3 million USD2021: 797.7 million USD2022: 799.8 million USD2023: 768.9 million USD2024: 742 million USD

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

Analysis

The most recent figure for value added (agriculture, forestry and fishing) — value us$, 2015 in Slovenia is 742.01 million USD, measured in 2024.

That represents a change of down 3.5% on the previous year and up 2.9% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Slovenia peaked at 931.27 million USD in 2020 and was at its lowest, 680.4 million USD, in 2003.

That places Slovenia 134th out of 200 countries with data for 2024, putting it in the middle of the range.

Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Slovenia, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Slovenia, 1990 to 2024.
Year million USD Change
1990 814.31 million USD
1991 793.8 million USD -2.5%
1992 740.55 million USD -6.7%
1993 708.63 million USD -4.3%
1994 738.66 million USD +4.2%
1995 750 million USD +1.5%
1996 792.8 million USD +5.7%
1997 848.1 million USD +7.0%
1998 829.5 million USD -2.2%
1999 791.09 million USD -4.6%
2000 794.03 million USD +0.4%
2001 798.14 million USD +0.5%
2002 908.98 million USD +13.9%
2003 680.4 million USD -25.1%
2004 871.02 million USD +28.0%
2005 832.89 million USD -4.4%
2006 817.33 million USD -1.9%
2007 863.18 million USD +5.6%
2008 833.52 million USD -3.4%
2009 759.79 million USD -8.8%
2010 774.74 million USD +2.0%
2011 812.13 million USD +4.8%
2012 740.28 million USD -8.8%
2013 729.95 million USD -1.4%
2014 720.92 million USD -1.2%
2015 842.92 million USD +16.9%
2016 824.9 million USD -2.1%
2017 775.61 million USD -6.0%
2018 908.89 million USD +17.2%
2019 869.47 million USD -4.3%
2020 931.27 million USD +7.1%
2021 797.67 million USD -14.3%
2022 799.83 million USD +0.3%
2023 768.85 million USD -3.9%
2024 742.01 million USD -3.5%

Averages by decade

DecadeAverage LowestHighest Years
1990s 780.75 million USD 708.63 million USD 848.1 million USD 10
2000s 815.93 million USD 680.4 million USD 908.98 million USD 10
2010s 799.98 million USD 720.92 million USD 908.89 million USD 10
2020s 807.92 million USD 742.01 million USD 931.27 million USD 5

Countries ranked near Slovenia

  1. 131 Kuwait 827.83 million USD compare
  2. 132 Namibia 823.75 million USD compare
  3. 133 North Macedonia 774.66 million USD compare
  4. 135 Greenland 701.81 million USD compare
  5. 136 Guinea-Bissau 686 million USD compare
  6. 137 Puerto Rico 677.16 million USD compare

See the full ranking of 249 places →

More environment data for Slovenia

All data for Slovenia →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value us$, 2015 in Slovenia?
Value added (agriculture, forestry and fishing) — value us$, 2015 in Slovenia was 742.01 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Slovenia?
The highest recorded value was 931.27 million USD in 2020.
What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Slovenia?
The lowest recorded value was 680.4 million USD in 2003.
How does Slovenia rank for value added (agriculture, forestry and fishing) — value us$, 2015?
Slovenia ranks 134th out of 200 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Slovenia?
Over the last ten years it is up 2.9%. The long-run trend across the full record is flat.
Where does this Slovenia 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 US$, 2015 prices. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Slovenia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 26 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us-2015-prices/slovenia/

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About this data

Indicator
Value Added (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
249 places, 12,769 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).