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

Lithuania: Value Added (Agriculture, Forestry and Fishing) — Value US$ was 2,184 million USD in 2024. ▲ Rising

Latest (2024)
2,184 million USD
Change on year
up 0.8%
World rank
130th
of 233 countries
All-time high
2,790 million USD
in 2022
All-time low
596.5 million USD
in 2001
Years of data
34
1991–2024

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

5001.0k1.5k2.0k2.5k3.0k1991200720241991: 1.5k million USD1992: 1.0k million USD1993: 912.9 million USD1994: 611.9 million USD1995: 661.9 million USD1996: 917.3 million USD1997: 953.4 million USD1998: 861.2 million USD1999: 700.3 million USD2000: 643.8 million USD2001: 596.5 million USD2002: 680.8 million USD2003: 830.7 million USD2004: 944.1 million USD2005: 1.1k million USD2006: 1.2k million USD2007: 1.4k million USD2008: 1.6k million USD2009: 948.3 million USD2010: 1.1k million USD2011: 1.5k million USD2012: 1.7k million USD2013: 1.6k million USD2014: 1.7k million USD2015: 1.4k million USD2016: 1.3k million USD2017: 1.7k million USD2018: 1.6k million USD2019: 1.7k million USD2020: 2.0k million USD2021: 2.3k million USD2022: 2.8k million USD2023: 2.2k million USD2024: 2.2k million USD

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

Analysis

In 2024, value added (agriculture, forestry and fishing) — value us$ in Lithuania stood at 2,184 million USD.

Compared with earlier readings it is up 0.8% on the previous year and up 31.3% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value us$ in Lithuania peaked at 2,790 million USD in 2022 and was at its lowest, 596.5 million USD, in 2001.

Lithuania ranks 130th of 233 countries on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 34 years of available data.

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

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value US$ in Lithuania, 1991 to 2024.
Year million USD Change
1991 1,477 million USD —
1992 1,000 million USD -32.3%
1993 912.92 million USD -8.7%
1994 611.87 million USD -33.0%
1995 661.85 million USD +8.2%
1996 917.26 million USD +38.6%
1997 953.38 million USD +3.9%
1998 861.2 million USD -9.7%
1999 700.32 million USD -18.7%
2000 643.79 million USD -8.1%
2001 596.5 million USD -7.3%
2002 680.78 million USD +14.1%
2003 830.7 million USD +22.0%
2004 944.09 million USD +13.6%
2005 1,130 million USD +19.7%
2006 1,166 million USD +3.2%
2007 1,379 million USD +18.3%
2008 1,571 million USD +13.9%
2009 948.3 million USD -39.6%
2010 1,125 million USD +18.6%
2011 1,521 million USD +35.3%
2012 1,709 million USD +12.3%
2013 1,636 million USD -4.3%
2014 1,663 million USD +1.7%
2015 1,428 million USD -14.2%
2016 1,341 million USD -6.1%
2017 1,695 million USD +26.4%
2018 1,566 million USD -7.6%
2019 1,722 million USD +9.9%
2020 2,028 million USD +17.8%
2021 2,276 million USD +12.3%
2022 2,790 million USD +22.6%
2023 2,167 million USD -22.3%
2024 2,184 million USD +0.8%

Lithuania compared with similar countries

  • Lithuania's 2,184 million USD is below the median for high income countries, which is 2,318 million USD, 94% of the median. (71 countries reporting)
  • Lithuania's 2,184 million USD is below the median for Europe & Central Asia, which is 4,627 million USD, 47% of the median. (51 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1990s 899.52 million USD 611.87 million USD 1,477 million USD 9
2000s 989.11 million USD 596.5 million USD 1,571 million USD 10
2010s 1,541 million USD 1,125 million USD 1,722 million USD 10
2020s 2,289 million USD 2,028 million USD 2,790 million USD 5

Countries ranked near Lithuania

  1. 127 Jordan 2,684 million USD compare
  2. 128 Bulgaria 2,318 million USD compare
  3. 129 Panama 2,211 million USD compare
  4. 131 Armenia 2,043 million USD compare
  5. 132 Mauritania 2,005 million USD compare
  6. 133 Guyana 1,958 million USD compare

See the full ranking of 263 places →

More environment data for Lithuania

All data for Lithuania →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value us$ in Lithuania?
Value added (agriculture, forestry and fishing) — value us$ in Lithuania was 2,184 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$ recorded in Lithuania?
The highest recorded value was 2,790 million USD in 2022.
What is the lowest value added (agriculture, forestry and fishing) — value us$ recorded in Lithuania?
The lowest recorded value was 596.5 million USD in 2001.
How does Lithuania rank for value added (agriculture, forestry and fishing) — value us$?
Lithuania ranks 130th out of 233 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value us$ rising or falling in Lithuania?
Over the last ten years it is up 31.3%. The long-run trend across the full record is rising.
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 US$. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value US$ in Lithuania. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 27 September 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-us/lithuania/

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About this data

Indicator
Value Added (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
263 places, 13,442 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).