Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Lithuania

Lithuania: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 1,318 million USD in 2023. ◆ Volatile

Latest (2023)
1,318 million USD
Change on year
up 29.6%
World rank
54th
of 182 countries
All-time high
1,318 million USD
in 2023
All-time low
81.46 million USD
in 1995
Years of data
29
1995–2023

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Lithuania, 1995–2023

02505007501.0k1.2k1995200920231995: 81.5 million USD1996: 108.8 million USD1997: 145 million USD1998: 136.6 million USD1999: 149.5 million USD2000: 153.7 million USD2001: 181.6 million USD2002: 191.4 million USD2003: 293.8 million USD2004: 376.4 million USD2005: 395.7 million USD2006: 375.9 million USD2007: 446.1 million USD2008: 405.7 million USD2009: 258.1 million USD2010: 533.3 million USD2011: 758.2 million USD2012: 568.9 million USD2013: 906.5 million USD2014: 824.7 million USD2015: 708.9 million USD2016: 778.6 million USD2017: 787.6 million USD2018: 869.2 million USD2019: 659.2 million USD2020: 706.4 million USD2021: 845.1 million USD2022: 1.0k million USD2023: 1.3k million USD

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

Analysis

The most recent figure for gross fixed capital formation (agriculture, forestry and fishing) in Lithuania is 1,318 million USD, measured in 2023. That is the highest value across all 29 years on record.

The figure is up 29.6% on the previous year and up 45.4% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Lithuania peaked at 1,318 million USD in 2023 and was at its lowest, 81.46 million USD, in 1995.

Lithuania ranks 54th of 182 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.

Averages by decade

DecadeAverage LowestHighest Years
1990s 124.27 million USD 81.46 million USD 149.46 million USD 5
2000s 307.84 million USD 153.7 million USD 446.1 million USD 10
2010s 739.52 million USD 533.35 million USD 906.54 million USD 10
2020s 971.46 million USD 706.4 million USD 1,318 million USD 4

Countries ranked near Lithuania

  1. 51 Portugal 1,372 million USD compare
  2. 52 Uganda 1,355 million USD compare
  3. 53 Ghana 1,341 million USD compare
  4. 55 Uruguay 1,302 million USD compare
  5. 56 Myanmar 1,291 million USD compare
  6. 57 Kazakhstan 1,279 million USD compare

See the full ranking of 228 places →

More environment data for Lithuania

All data for Lithuania →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Lithuania?
Gross fixed capital formation (agriculture, forestry and fishing) in Lithuania was 1,318 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross fixed capital formation (agriculture, forestry and fishing) recorded in Lithuania?
The highest recorded value was 1,318 million USD in 2023.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Lithuania?
The lowest recorded value was 81.46 million USD in 1995.
How does Lithuania rank for gross fixed capital formation (agriculture, forestry and fishing)?
Lithuania ranks 54th out of 182 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Lithuania?
Over the last ten years it is up 45.4%. 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 (Agriculture, Forestry and Fishing) — Value US$. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Lithuania. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 21 August 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-us/lithuania/

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About this data

Indicator
Gross Fixed Capital Formation (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
228 places, 6,512 data points, 1995–2023
Last refreshed

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.