Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Lithuania
Lithuania: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 7,608 million SLC in 2023. ▲ Rising
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Lithuania, 1995–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Lithuania recorded 7,608 million SLC for net capital stocks (agriculture, forestry and fishing) — value in 2023. That is the highest value across all 29 years on record.
That represents a change of up 7.0% on the previous year and up 53.7% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Lithuania peaked at 7,608 million SLC in 2023 and was at its lowest, 3,018 million SLC, in 1997.
That places Lithuania 121st out of 179 countries with data for 2023, putting it in the middle of the range.
The long-run direction has been consistently rising across the 29 years of available data.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Lithuania, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 3,087 million SLC | — |
| 1996 | 3,089 million SLC | +0.1% |
| 1997 | 3,018 million SLC | -2.3% |
| 1998 | 3,046 million SLC | +0.9% |
| 1999 | 3,173 million SLC | +4.1% |
| 2000 | 3,276 million SLC | +3.3% |
| 2001 | 3,275 million SLC | -0.0% |
| 2002 | 3,401 million SLC | +3.8% |
| 2003 | 3,551 million SLC | +4.4% |
| 2004 | 3,846 million SLC | +8.3% |
| 2005 | 3,981 million SLC | +3.5% |
| 2006 | 4,082 million SLC | +2.5% |
| 2007 | 4,102 million SLC | +0.5% |
| 2008 | 3,834 million SLC | -6.5% |
| 2009 | 3,880 million SLC | +1.2% |
| 2010 | 4,166 million SLC | +7.4% |
| 2011 | 4,480 million SLC | +7.5% |
| 2012 | 4,665 million SLC | +4.1% |
| 2013 | 4,951 million SLC | +6.1% |
| 2014 | 5,246 million SLC | +6.0% |
| 2015 | 5,497 million SLC | +4.8% |
| 2016 | 5,715 million SLC | +4.0% |
| 2017 | 6,010 million SLC | +5.2% |
| 2018 | 6,296 million SLC | +4.7% |
| 2019 | 6,326 million SLC | +0.5% |
| 2020 | 6,599 million SLC | +4.3% |
| 2021 | 6,740 million SLC | +2.1% |
| 2022 | 7,107 million SLC | +5.4% |
| 2023 | 7,608 million SLC | +7.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 3,083 million SLC | 3,018 million SLC | 3,173 million SLC | 5 |
| 2000s | 3,723 million SLC | 3,275 million SLC | 4,102 million SLC | 10 |
| 2010s | 5,335 million SLC | 4,166 million SLC | 6,326 million SLC | 10 |
| 2020s | 7,014 million SLC | 6,599 million SLC | 7,608 million SLC | 4 |
Countries ranked near Lithuania
- 118 Eswatini 10,255 million SLC compare
- 119 French Polynesia 9,401 million SLC compare
- 120 Latvia 7,686 million SLC compare
- 122 Sierra Leone 6,914 million SLC compare
- 123 Azerbaijan 6,793 million SLC compare
- 124 Ecuador 6,188 million SLC compare
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)
- Sawlogs and veneer logs — Production, annual growth rate 0.2923 % change on previous year (2024)
- Sawlogs and veneer logs, non-coniferous — Production, annual growth 1.92 % change on previous year (2024)
- Other industrial roundwood — Production, annual growth rate -100 % change on previous year (2006)
- Other industrial roundwood, non-coniferous (production) — Production -100 % change on previous year (2006)
- Wood charcoal — Production, annual growth rate -100 % change on previous year (2022)
- Sawnwood — Production, annual growth rate 0.4926 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value in Lithuania?
- Net capital stocks (agriculture, forestry and fishing) — value in Lithuania was 7,608 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Lithuania?
- The highest recorded value was 7,608 million SLC in 2023.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Lithuania?
- The lowest recorded value was 3,018 million SLC in 1997.
- How does Lithuania rank for net capital stocks (agriculture, forestry and fishing) — value?
- Lithuania ranks 121st out of 179 countries with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Lithuania?
- Over the last ten years it is up 53.7%. 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 Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 29 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.