Gross Fixed Capital Formation — Value Standard Local Currency in Lithuania
Lithuania: Gross Fixed Capital Formation — Value Standard Local Currency was 17,718 million SLC in 2024. ◆ Volatile
Gross Fixed Capital Formation — Value Standard Local Currency in Lithuania, 1991–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, gross fixed capital formation — value standard local currency in Lithuania stood at 17,718 million SLC. That is the highest value across all 34 years on record.
Compared with earlier readings it is up 1.0% on the previous year and up 153.9% over ten years.
Over the whole period, gross fixed capital formation — value standard local currency in Lithuania peaked at 17,718 million SLC in 2024 and was at its lowest, 26.96 million SLC, in 1991.
Lithuania ranks 162nd of 230 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.
Gross Fixed Capital Formation — Value Standard Local Currency in Lithuania, year by year
| Year | million SLC | Change |
|---|---|---|
| 1991 | 26.96 million SLC | — |
| 1992 | 226.86 million SLC | +741.4% |
| 1993 | 775.25 million SLC | +241.7% |
| 1994 | 1,131 million SLC | +45.9% |
| 1995 | 1,581 million SLC | +39.8% |
| 1996 | 2,000 million SLC | +26.5% |
| 1997 | 2,624 million SLC | +31.2% |
| 1998 | 3,114 million SLC | +18.7% |
| 1999 | 2,795 million SLC | -10.3% |
| 2000 | 2,560 million SLC | -8.4% |
| 2001 | 2,915 million SLC | +13.9% |
| 2002 | 3,144 million SLC | +7.9% |
| 2003 | 3,595 million SLC | +14.3% |
| 2004 | 4,182 million SLC | +16.4% |
| 2005 | 4,920 million SLC | +17.6% |
| 2006 | 6,258 million SLC | +27.2% |
| 2007 | 8,323 million SLC | +33.0% |
| 2008 | 8,535 million SLC | +2.5% |
| 2009 | 4,819 million SLC | -43.5% |
| 2010 | 4,741 million SLC | -1.6% |
| 2011 | 5,874 million SLC | +23.9% |
| 2012 | 5,864 million SLC | -0.2% |
| 2013 | 6,539 million SLC | +11.5% |
| 2014 | 6,978 million SLC | +6.7% |
| 2015 | 7,365 million SLC | +5.5% |
| 2016 | 7,756 million SLC | +5.3% |
| 2017 | 8,539 million SLC | +10.1% |
| 2018 | 9,538 million SLC | +11.7% |
| 2019 | 10,472 million SLC | +9.8% |
| 2020 | 10,819 million SLC | +3.3% |
| 2021 | 12,813 million SLC | +18.4% |
| 2022 | 15,266 million SLC | +19.1% |
| 2023 | 17,550 million SLC | +15.0% |
| 2024 | 17,718 million SLC | +1.0% |
Lithuania compared with similar countries
- Lithuania's 17,718 million SLC is below the median for high income countries, which is 36,467 million SLC, 49% of the median. (73 countries reporting)
- Lithuania's 17,718 million SLC is below the median for Europe & Central Asia, which is 116,713 million SLC, 15% of the median. (52 countries reporting)
Biggest year-on-year movements
Years where Gross Fixed Capital Formation — Value Standard Local Currency in Lithuania changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1992 | +741.4% | 26.96 million SLC | 226.86 million SLC |
| 1993 | +241.7% | 226.86 million SLC | 775.25 million SLC |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 1,586 million SLC | 26.96 million SLC | 3,114 million SLC | 9 |
| 2000s | 4,925 million SLC | 2,560 million SLC | 8,535 million SLC | 10 |
| 2010s | 7,367 million SLC | 4,741 million SLC | 10,472 million SLC | 10 |
| 2020s | 14,833 million SLC | 10,819 million SLC | 17,718 million SLC | 5 |
Countries ranked near Lithuania
- 159 Georgia 20,108 million SLC compare
- 160 Azerbaijan 18,093 million SLC compare
- 161 Puerto Rico 17,884 million SLC compare
- 163 Cuba 15,390 million SLC compare
- 164 Eswatini 14,107 million SLC compare
- 165 Luxembourg 13,501 million SLC compare
More economy & growth data for Lithuania
- SDRs holdings, US dollar, annual growth rate 4.83 % change on previous year (2025)
- SDRs holdings, US dollar, per unit of GDP 0.0083 units per US$ of GDP (2025)
- SDRs holdings, US dollar, per capita 273.38 units per person (2025)
- SDRs holdings, SDR, annual growth rate -0.1754 % change on previous year (2025)
- SDRs holdings, SDR, per unit of GDP 0.0061 units per US$ of GDP (2025)
- SDRs holdings, SDR, per capita 199.62 units per person (2025)
- IMF holdings of currency, US dollar, annual growth rate 5.16 % change on previous year (2025)
- IMF holdings of currency, US dollar, per unit of GDP 0.0047 units per US$ of GDP (2025)
- IMF holdings of currency, US dollar, per capita 155.84 units per person (2025)
- IMF holdings of currency, SDR, annual growth rate 0.1411 % change on previous year (2025)
Frequently asked questions
- What is gross fixed capital formation — value standard local currency in Lithuania?
- Gross fixed capital formation — value standard local currency in Lithuania was 17,718 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross fixed capital formation — value standard local currency recorded in Lithuania?
- The highest recorded value was 17,718 million SLC in 2024.
- What is the lowest gross fixed capital formation — value standard local currency recorded in Lithuania?
- The lowest recorded value was 26.96 million SLC in 1991.
- How does Lithuania rank for gross fixed capital formation — value standard local currency?
- Lithuania ranks 162nd out of 230 countries with data for 2024.
- Is gross fixed capital formation — value standard local currency rising or falling in Lithuania?
- Over the last ten years it is up 153.9%. 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 Gross Fixed Capital Formation — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 34 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).