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

Libya: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 1,984 million SLC in 2023. ▼ Falling

Latest (2023)
1,984 million SLC
Change on year
down 12.7%
World rank
142nd
of 179 countries
All-time high
7,324 million SLC
in 2000
All-time low
1,984 million SLC
in 2023
Years of data
29
1995–2023

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

2.0k4.0k6.0k8.0k1995200920231995: 6.2k million SLC1996: 6.4k million SLC1997: 6.7k million SLC1998: 6.9k million SLC1999: 7.1k million SLC2000: 7.3k million SLC2001: 7.2k million SLC2002: 7.0k million SLC2003: 6.7k million SLC2004: 6.5k million SLC2005: 6.3k million SLC2006: 6.1k million SLC2007: 5.9k million SLC2008: 5.7k million SLC2009: 5.7k million SLC2010: 5.5k million SLC2011: 5.3k million SLC2012: 5.2k million SLC2013: 5.0k million SLC2014: 4.8k million SLC2015: 4.5k million SLC2016: 4.2k million SLC2017: 3.9k million SLC2018: 3.5k million SLC2019: 3.1k million SLC2020: 2.9k million SLC2021: 2.5k million SLC2022: 2.3k million SLC2023: 2.0k million SLC

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

Analysis

Libya recorded 1,984 million SLC for net capital stocks (agriculture, forestry and fishing) — value in 2023. That is the lowest value across all 29 years on record.

That represents a change of down 12.7% on the previous year and down 60.4% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Libya peaked at 7,324 million SLC in 2000 and was at its lowest, 1,984 million SLC, in 2023.

Libya ranks 142nd of 179 countries on this measure, in the bottom quarter.

The long-run direction has been consistently falling across the 29 years of available data.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Libya, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Libya, 1995 to 2023.
Year million SLC Change
1995 6,202 million SLC
1996 6,430 million SLC +3.7%
1997 6,684 million SLC +3.9%
1998 6,897 million SLC +3.2%
1999 7,121 million SLC +3.2%
2000 7,324 million SLC +2.9%
2001 7,164 million SLC -2.2%
2002 6,958 million SLC -2.9%
2003 6,730 million SLC -3.3%
2004 6,514 million SLC -3.2%
2005 6,303 million SLC -3.2%
2006 6,093 million SLC -3.3%
2007 5,922 million SLC -2.8%
2008 5,742 million SLC -3.0%
2009 5,667 million SLC -1.3%
2010 5,547 million SLC -2.1%
2011 5,345 million SLC -3.6%
2012 5,170 million SLC -3.3%
2013 5,007 million SLC -3.1%
2014 4,780 million SLC -4.5%
2015 4,539 million SLC -5.0%
2016 4,238 million SLC -6.6%
2017 3,854 million SLC -9.1%
2018 3,465 million SLC -10.1%
2019 3,127 million SLC -9.8%
2020 2,864 million SLC -8.4%
2021 2,543 million SLC -11.2%
2022 2,274 million SLC -10.6%
2023 1,984 million SLC -12.7%

Averages by decade

DecadeAverage LowestHighest Years
1990s 6,667 million SLC 6,202 million SLC 7,121 million SLC 5
2000s 6,442 million SLC 5,667 million SLC 7,324 million SLC 10
2010s 4,507 million SLC 3,127 million SLC 5,547 million SLC 10
2020s 2,416 million SLC 1,984 million SLC 2,864 million SLC 4

Countries ranked near Libya

  1. 139 Panama 2,318 million SLC compare
  2. 140 Georgia 2,139 million SLC compare
  3. 141 Suriname 2,113 million SLC compare
  4. 143 Palestine, State of 1,941 million SLC compare
  5. 144 Cyprus 1,572 million SLC compare
  6. 145 Lesotho 1,526 million SLC compare

See the full ranking of 192 places →

More environment data for Libya

All data for Libya →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Libya?
Net capital stocks (agriculture, forestry and fishing) — value in Libya was 1,984 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 Libya?
The highest recorded value was 7,324 million SLC in 2000.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Libya?
The lowest recorded value was 1,984 million SLC in 2023.
How does Libya rank for net capital stocks (agriculture, forestry and fishing) — value?
Libya ranks 142nd out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Libya?
Over the last ten years it is down 60.4%. The long-run trend across the full record is falling.
Where does this Libya 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.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Libya. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency-2015/libya/

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About this data

Indicator
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
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.