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

Lithuania: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1,317 million SLC in 2024. ◆ Volatile

Latest (2024)
1,317 million SLC
Change on year
up 4.1%
World rank
141st
of 191 countries
All-time high
4,493 million SLC
in 1991
All-time low
925.23 million SLC
in 2006
Years of data
34
1991–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Lithuania, 1991–2024

1.0k2.0k3.0k4.0k1991200720241991: 4.5k million SLC1992: 3.0k million SLC1993: 2.7k million SLC1994: 1.7k million SLC1995: 1.0k million SLC1996: 1.2k million SLC1997: 1.2k million SLC1998: 1.2k million SLC1999: 968.8 million SLC2000: 1.0k million SLC2001: 943.9 million SLC2002: 1.0k million SLC2003: 1.1k million SLC2004: 1.0k million SLC2005: 1.0k million SLC2006: 925.2 million SLC2007: 1.0k million SLC2008: 1.1k million SLC2009: 1.1k million SLC2010: 1.0k million SLC2011: 1.1k million SLC2012: 1.2k million SLC2013: 1.2k million SLC2014: 1.2k million SLC2015: 1.3k million SLC2016: 1.2k million SLC2017: 1.2k million SLC2018: 1.1k million SLC2019: 1.2k million SLC2020: 1.4k million SLC2021: 1.3k million SLC2022: 1.3k million SLC2023: 1.3k million SLC2024: 1.3k million SLC

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

Analysis

The most recent figure for value added (agriculture, forestry and fishing) — value standard in Lithuania is 1,317 million SLC, measured in 2024.

The figure is up 4.1% on the previous year and up 7.7% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Lithuania peaked at 4,493 million SLC in 1991 and was at its lowest, 925.23 million SLC, in 2006.

Lithuania ranks 141st of 191 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 Lithuania, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Lithuania, 1991 to 2024.
Year million SLC Change
1991 4,493 million SLC
1992 2,975 million SLC -33.8%
1993 2,653 million SLC -10.8%
1994 1,741 million SLC -34.4%
1995 1,047 million SLC -39.8%
1996 1,165 million SLC +11.2%
1997 1,235 million SLC +6.1%
1998 1,152 million SLC -6.7%
1999 968.79 million SLC -15.9%
2000 1,010 million SLC +4.3%
2001 943.89 million SLC -6.6%
2002 1,002 million SLC +6.1%
2003 1,057 million SLC +5.5%
2004 1,020 million SLC -3.5%
2005 1,038 million SLC +1.8%
2006 925.23 million SLC -10.9%
2007 1,039 million SLC +12.3%
2008 1,064 million SLC +2.5%
2009 1,079 million SLC +1.4%
2010 1,012 million SLC -6.3%
2011 1,078 million SLC +6.5%
2012 1,207 million SLC +12.0%
2013 1,170 million SLC -3.1%
2014 1,223 million SLC +4.5%
2015 1,287 million SLC +5.2%
2016 1,236 million SLC -4.0%
2017 1,243 million SLC +0.6%
2018 1,106 million SLC -11.0%
2019 1,223 million SLC +10.6%
2020 1,443 million SLC +18.0%
2021 1,322 million SLC -8.4%
2022 1,300 million SLC -1.7%
2023 1,265 million SLC -2.7%
2024 1,317 million SLC +4.1%

Averages by decade

DecadeAverage LowestHighest Years
1990s 1,937 million SLC 968.79 million SLC 4,493 million SLC 9
2000s 1,018 million SLC 925.23 million SLC 1,079 million SLC 10
2010s 1,178 million SLC 1,012 million SLC 1,287 million SLC 10
2020s 1,329 million SLC 1,265 million SLC 1,443 million SLC 5

Countries ranked near Lithuania

  1. 138 Jordan 1,664 million SLC compare
  2. 139 Libya 1,384 million SLC compare
  3. 140 El Salvador 1,373 million SLC compare
  4. 142 China, Hong Kong SAR 1,108 million SLC compare
  5. 143 Oman 958.97 million SLC compare
  6. 144 Fiji 952.74 million SLC compare

See the full ranking of 207 places →

More environment data for Lithuania

All data for Lithuania →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Lithuania?
Value added (agriculture, forestry and fishing) — value standard in Lithuania was 1,317 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 Lithuania?
The highest recorded value was 4,493 million SLC in 1991.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Lithuania?
The lowest recorded value was 925.23 million SLC in 2006.
How does Lithuania rank for value added (agriculture, forestry and fishing) — value standard?
Lithuania ranks 141st out of 191 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Lithuania?
Over the last ten years it is up 7.7%. The long-run trend across the full record is volatile.
Where does this Lithuania 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, 2015 prices. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Lithuania. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 30 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency-2015-prices/lithuania/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
207 places, 10,719 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).