Value Added (Agriculture) — Value US$ in Lithuania

Lithuania: Value Added (Agriculture) — Value US$ was 1,857 million USD in 2021. ▲ Rising

Latest (2021)
1,857 million USD
Change on year
up 7.6%
World rank
53rd
of 82 countries
All-time high
1,857 million USD
in 2021
All-time low
528.88 million USD
in 2001
Years of data
27
1995–2021

Value Added (Agriculture) — Value US$ in Lithuania, 1995–2021

5001.0k1.5k2.0k1995200820211995: 601.6 million USD1996: 856.1 million USD1997: 891.6 million USD1998: 796.2 million USD1999: 646.3 million USD2000: 577 million USD2001: 528.9 million USD2002: 600.3 million USD2003: 726.6 million USD2004: 820.7 million USD2005: 993.9 million USD2006: 1.0k million USD2007: 1.2k million USD2008: 1.3k million USD2009: 782.9 million USD2010: 918.9 million USD2011: 1.3k million USD2012: 1.5k million USD2013: 1.4k million USD2014: 1.4k million USD2015: 1.2k million USD2016: 1.1k million USD2017: 1.4k million USD2018: 1.2k million USD2019: 1.4k million USD2020: 1.7k million USD2021: 1.9k million USD

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

Analysis

In 2021, value added (agriculture) — value us$ in Lithuania stood at 1,857 million USD. That is the highest value across all 27 years on record.

That represents a change of up 7.6% on the previous year and up 46.4% over ten years.

Over the whole period, value added (agriculture) — value us$ in Lithuania peaked at 1,857 million USD in 2021 and was at its lowest, 528.88 million USD, in 2001.

Lithuania ranks 53rd of 82 countries on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 27 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
1990s 758.37 million USD 601.65 million USD 891.62 million USD 5
2000s 852.88 million USD 528.88 million USD 1,330 million USD 10
2010s 1,279 million USD 918.94 million USD 1,507 million USD 10
2020s 1,792 million USD 1,727 million USD 1,857 million USD 2

Countries ranked near Lithuania

  1. 50 Denmark 2,729 million USD compare
  2. 51 Croatia 1,940 million USD compare
  3. 52 Norway 1,922 million USD compare
  4. 54 Finland 1,773 million USD compare
  5. 55 Georgia 1,737 million USD compare
  6. 56 Slovakia 1,371 million USD compare

See the full ranking of 83 places →

More agriculture & rural data for Lithuania

All data for Lithuania →

Frequently asked questions

What is value added (agriculture) — value us$ in Lithuania?
Value added (agriculture) — value us$ in Lithuania was 1,857 million USD in 2021, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture) — value us$ recorded in Lithuania?
The highest recorded value was 1,857 million USD in 2021.
What is the lowest value added (agriculture) — value us$ recorded in Lithuania?
The lowest recorded value was 528.88 million USD in 2001.
How does Lithuania rank for value added (agriculture) — value us$?
Lithuania ranks 53rd out of 82 countries with data for 2021.
Is value added (agriculture) — value us$ rising or falling in Lithuania?
Over the last ten years it is up 46.4%. 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) — Value US$. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 27 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

About this data

Indicator
Value Added (Agriculture) — Value US$
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
83 places, 1,678 data points, 1970–2023
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).