Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Lithuania

Lithuania: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 10,055 million SLC in 2023. ▲ Rising

Latest (2023)
10,055 million SLC
Change on year
up 7.4%
World rank
122nd
of 179 countries
All-time high
10,055 million SLC
in 2023
All-time low
2,440 million SLC
in 1995
Years of data
29
1995–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Lithuania, 1995–2023

2.0k4.0k6.0k8.0k10.0k1995200920231995: 2.4k million SLC1996: 2.6k million SLC1997: 2.6k million SLC1998: 2.6k million SLC1999: 2.6k million SLC2000: 2.6k million SLC2001: 2.6k million SLC2002: 2.6k million SLC2003: 2.8k million SLC2004: 3.0k million SLC2005: 3.3k million SLC2006: 3.6k million SLC2007: 3.9k million SLC2008: 3.9k million SLC2009: 3.7k million SLC2010: 3.8k million SLC2011: 4.2k million SLC2012: 4.4k million SLC2013: 4.8k million SLC2014: 5.2k million SLC2015: 5.5k million SLC2016: 5.8k million SLC2017: 6.2k million SLC2018: 6.6k million SLC2019: 6.9k million SLC2020: 7.3k million SLC2021: 7.8k million SLC2022: 9.4k million SLC2023: 10.1k million SLC

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

Analysis

In 2023, net capital stocks (agriculture, forestry and fishing) — value in Lithuania stood at 10,055 million SLC. That is the highest value across all 29 years on record.

That represents a change of up 7.4% on the previous year and up 107.7% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Lithuania peaked at 10,055 million SLC in 2023 and was at its lowest, 2,440 million SLC, in 1995.

Lithuania ranks 122nd of 179 countries on this measure, 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

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Lithuania, 1995 to 2023.
Year million SLC Change
1995 2,440 million SLC
1996 2,551 million SLC +4.6%
1997 2,604 million SLC +2.0%
1998 2,573 million SLC -1.2%
1999 2,556 million SLC -0.7%
2000 2,596 million SLC +1.6%
2001 2,621 million SLC +1.0%
2002 2,643 million SLC +0.8%
2003 2,766 million SLC +4.7%
2004 3,010 million SLC +8.8%
2005 3,288 million SLC +9.2%
2006 3,585 million SLC +9.0%
2007 3,917 million SLC +9.3%
2008 3,911 million SLC -0.2%
2009 3,657 million SLC -6.5%
2010 3,807 million SLC +4.1%
2011 4,179 million SLC +9.8%
2012 4,426 million SLC +5.9%
2013 4,840 million SLC +9.4%
2014 5,182 million SLC +7.1%
2015 5,497 million SLC +6.1%
2016 5,826 million SLC +6.0%
2017 6,196 million SLC +6.3%
2018 6,611 million SLC +6.7%
2019 6,852 million SLC +3.6%
2020 7,262 million SLC +6.0%
2021 7,806 million SLC +7.5%
2022 9,364 million SLC +20.0%
2023 10,055 million SLC +7.4%

Averages by decade

DecadeAverage LowestHighest Years
1990s 2,545 million SLC 2,440 million SLC 2,604 million SLC 5
2000s 3,199 million SLC 2,596 million SLC 3,917 million SLC 10
2010s 5,342 million SLC 3,807 million SLC 6,852 million SLC 10
2020s 8,622 million SLC 7,262 million SLC 10,055 million SLC 4

Countries ranked near Lithuania

  1. 119 Eswatini 12,782 million SLC compare
  2. 120 Suriname 12,501 million SLC compare
  3. 121 Azerbaijan 10,689 million SLC compare
  4. 123 Latvia 9,902 million SLC compare
  5. 124 French Polynesia 8,953 million SLC compare
  6. 125 Ecuador 7,021 million SLC compare

See the full ranking of 192 places →

More environment data for Lithuania

All data for Lithuania →

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 10,055 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 10,055 million SLC in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Lithuania?
The lowest recorded value was 2,440 million SLC in 1995.
How does Lithuania rank for net capital stocks (agriculture, forestry and fishing) — value?
Lithuania ranks 122nd 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 107.7%. 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. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Lithuania. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 06 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/lithuania/

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About this data

Indicator
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
192 places, 5,493 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.