Georgia vs Lithuania: Value Added (Agriculture) — Value US$
Value Added (Agriculture) — Value US$ over time
- Georgia
- Lithuania
How they compare
Lithuania currently reports 1,857 million USD against 1,737 million USD in Georgia, a difference of 120 million USD.
That makes Lithuania's figure about 1.1 times Georgia's.
The two have swapped places 7 times across 12 shared years of data; in 2010 it was Georgia ahead.
Georgia ranks 55th and Lithuania ranks 53rd of 82 countries.
Lithuania has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Georgia | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 1,263 million USD | 1,279 million USD | 15.8 million USD | Lithuania |
| 2020s | 1,295 million USD | 1,792 million USD | 496.69 million USD | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher value added (agriculture) — value us$, Georgia or Lithuania?
- Lithuania, at 1,857 million USD against 1,737 million USD in Georgia as of 2021.
- What is the difference in value added (agriculture) — value us$ between Georgia and Lithuania?
- 120 million USD, with Lithuania ahead.
- How many years of comparable data are there for Georgia and Lithuania?
- 12 years are reported by both, from 2010 to 2021.
- How do Georgia and Lithuania rank globally for value added (agriculture) — value us$?
- Georgia ranks 55th and Lithuania ranks 53rd of 82 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture) — Value US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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).