Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Lithuania
Lithuania: Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value was 12,599 million SLC in 2020. ▲ Rising
Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Lithuania, 1995–2020
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2020, gross capital stocks (agriculture, forestry and fishing) — value in Lithuania stood at 12,599 million SLC. That is the highest value across all 26 years on record.
Compared with earlier readings it is up 6.3% on the previous year and up 78.5% over ten years.
Over the whole period, gross capital stocks (agriculture, forestry and fishing) — value in Lithuania peaked at 12,599 million SLC in 2020 and was at its lowest, 4,200 million SLC, in 1995.
Lithuania ranks 23rd of 26 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 26 years of available data.
Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value in Lithuania, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 4,200 million SLC | — |
| 1996 | 4,467 million SLC | +6.3% |
| 1997 | 4,593 million SLC | +2.8% |
| 1998 | 4,576 million SLC | -0.4% |
| 1999 | 4,563 million SLC | -0.3% |
| 2000 | 4,624 million SLC | +1.3% |
| 2001 | 4,673 million SLC | +1.1% |
| 2002 | 4,726 million SLC | +1.1% |
| 2003 | 4,937 million SLC | +4.5% |
| 2004 | 5,334 million SLC | +8.0% |
| 2005 | 5,821 million SLC | +9.1% |
| 2006 | 6,432 million SLC | +10.5% |
| 2007 | 7,116 million SLC | +10.6% |
| 2008 | 7,182 million SLC | +0.9% |
| 2009 | 6,822 million SLC | -5.0% |
| 2010 | 7,058 million SLC | +3.5% |
| 2011 | 7,627 million SLC | +8.1% |
| 2012 | 8,066 million SLC | +5.8% |
| 2013 | 8,661 million SLC | +7.4% |
| 2014 | 9,174 million SLC | +5.9% |
| 2015 | 9,656 million SLC | +5.3% |
| 2016 | 10,172 million SLC | +5.3% |
| 2017 | 10,751 million SLC | +5.7% |
| 2018 | 11,400 million SLC | +6.0% |
| 2019 | 11,851 million SLC | +4.0% |
| 2020 | 12,599 million SLC | +6.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 4,480 million SLC | 4,200 million SLC | 4,593 million SLC | 5 |
| 2000s | 5,767 million SLC | 4,624 million SLC | 7,182 million SLC | 10 |
| 2010s | 9,441 million SLC | 7,058 million SLC | 11,851 million SLC | 10 |
| 2020s | 12,599 million SLC | 12,599 million SLC | 12,599 million SLC | 1 |
Countries ranked near Lithuania
More environment data for Lithuania
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.889 °C (2025)
- Temperature change 2.41 °C (2025)
- Industrial roundwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Industrial roundwood — Import quantity, per capita 0.1427 m3 per person (2024)
- Industrial roundwood — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Industrial roundwood — Import value, per capita 0.014 1000 USD per person (2024)
- Industrial roundwood — Export quantity, annual growth rate 7.35 % change on previous year (2024)
- Industrial roundwood — Export value, annual growth rate 10.3 % change on previous year (2024)
- Industrial roundwood, non-coniferous — Production, annual growth rate 7.16 % change on previous year (2024)
Frequently asked questions
- What is gross capital stocks (agriculture, forestry and fishing) — value in Lithuania?
- Gross capital stocks (agriculture, forestry and fishing) — value in Lithuania was 12,599 million SLC in 2020, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross capital stocks (agriculture, forestry and fishing) — value recorded in Lithuania?
- The highest recorded value was 12,599 million SLC in 2020.
- What is the lowest gross capital stocks (agriculture, forestry and fishing) — value recorded in Lithuania?
- The lowest recorded value was 4,200 million SLC in 1995.
- How does Lithuania rank for gross capital stocks (agriculture, forestry and fishing) — value?
- Lithuania ranks 23rd out of 26 countries with data for 2020.
- Is gross capital stocks (agriculture, forestry and fishing) — value rising or falling in Lithuania?
- Over the last ten years it is up 78.5%. 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 Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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.