Value Added (Agriculture) — Annual growth US$, 2015 prices in Lithuania
Lithuania: Value Added (Agriculture) — Annual growth US$, 2015 prices was -12.22 % in 2021. ◆ Volatile
Value Added (Agriculture) — Annual growth US$, 2015 prices in Lithuania, 1996–2021
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
In 2021, value added (agriculture) — annual growth us$, 2015 prices in Lithuania stood at -12.22 %.
Compared with earlier readings it is down 150.8% on the previous year and down 239.9% over ten years.
Over the whole period, value added (agriculture) — annual growth us$, 2015 prices in Lithuania peaked at 24.04 % in 2020 and was at its lowest, -17.64 %, in 2018.
That places Lithuania 70th out of 77 countries with data for 2021, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture) — Annual growth US$, 2015 prices in Lithuania, year by year
| Year | % | Change |
|---|---|---|
| 1996 | 14.17 % | — |
| 1997 | 6.28 % | -55.7% |
| 1998 | -7.82 % | -224.4% |
| 1999 | -16.05 % | +105.4% |
| 2000 | 1.28 % | -108.0% |
| 2001 | -7.58 % | -691.6% |
| 2002 | 5.57 % | -173.4% |
| 2003 | 4.64 % | -16.7% |
| 2004 | -4.07 % | -187.7% |
| 2005 | 2.93 % | -172.0% |
| 2006 | -11.84 % | -504.6% |
| 2007 | 8.02 % | -167.7% |
| 2008 | 3.7 % | -53.9% |
| 2009 | -1.13 % | -130.5% |
| 2010 | -7.24 % | +541.7% |
| 2011 | 8.73 % | -220.6% |
| 2012 | 18.43 % | +111.1% |
| 2013 | -7.77 % | -142.2% |
| 2014 | 1.35 % | -117.3% |
| 2015 | 11.97 % | +789.8% |
| 2016 | -8.41 % | -170.2% |
| 2017 | 1.73 % | -120.6% |
| 2018 | -17.64 % | -1119.7% |
| 2019 | 15.89 % | -190.0% |
| 2020 | 24.04 % | +51.4% |
| 2021 | -12.22 % | -150.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -0.8536 % | -16.05 % | 14.17 % | 4 |
| 2000s | 0.1504 % | -11.84 % | 8.02 % | 10 |
| 2010s | 1.7 % | -17.64 % | 18.43 % | 10 |
| 2020s | 5.91 % | -12.22 % | 24.04 % | 2 |
Countries ranked near Lithuania
More agriculture & rural data for Lithuania
- Agriculture, forestry, and fishing, value added (current US$), annual 4.69 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0227 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 748.66 current US$ per person (2025)
- Rural population, annual growth rate -0.7947 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3092 units per person (2025)
- Agriculture share gdp 2.27 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 2.27 (2025)
- Agricultural raw materials exports 2.4% (2025)
- Agricultural raw materials imports 1.7% (2025)
Frequently asked questions
- What is value added (agriculture) — annual growth us$, 2015 prices in Lithuania?
- Value added (agriculture) — annual growth us$, 2015 prices in Lithuania was -12.22 % in 2021, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture) — annual growth us$, 2015 prices recorded in Lithuania?
- The highest recorded value was 24.04 % in 2020.
- What is the lowest value added (agriculture) — annual growth us$, 2015 prices recorded in Lithuania?
- The lowest recorded value was -17.64 % in 2018.
- How does Lithuania rank for value added (agriculture) — annual growth us$, 2015 prices?
- Lithuania ranks 70th out of 77 countries with data for 2021.
- Is value added (agriculture) — annual growth us$, 2015 prices rising or falling in Lithuania?
- Over the last ten years it is down 239.9%. 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) — Annual growth US$, 2015 prices. Statizoid updates them automatically from the source API.
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About this data
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).