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

Libya: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 5,973 million SLC in 2023. ▲ Rising

Latest (2023)
5,973 million SLC
Change on year
down 16.5%
World rank
127th
of 179 countries
All-time high
7,150 million SLC
in 2022
All-time low
766.82 million SLC
in 1995
Years of data
29
1995–2023

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

02.0k4.0k6.0k8.0k1995200920231995: 766.8 million SLC1996: 810 million SLC1997: 884 million SLC1998: 1.0k million SLC1999: 1.1k million SLC2000: 1.1k million SLC2001: 4.7k million SLC2002: 5.8k million SLC2003: 6.0k million SLC2004: 4.7k million SLC2005: 4.9k million SLC2006: 4.4k million SLC2007: 4.4k million SLC2008: 5.3k million SLC2009: 3.9k million SLC2010: 4.6k million SLC2011: 5.5k million SLC2012: 5.6k million SLC2013: 5.4k million SLC2014: 5.1k million SLC2015: 4.5k million SLC2016: 4.4k million SLC2017: 4.1k million SLC2018: 3.8k million SLC2019: 3.6k million SLC2020: 3.1k million SLC2021: 5.9k million SLC2022: 7.2k million SLC2023: 6.0k million SLC

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

Analysis

Libya recorded 5,973 million SLC for net capital stocks (agriculture, forestry and fishing) — value in 2023.

The figure is down 16.5% on the previous year and up 9.8% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Libya peaked at 7,150 million SLC in 2022 and was at its lowest, 766.82 million SLC, in 1995.

Libya ranks 127th 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 Libya, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Libya, 1995 to 2023.
Year million SLC Change
1995 766.82 million SLC
1996 809.99 million SLC +5.6%
1997 883.98 million SLC +9.1%
1998 1,006 million SLC +13.9%
1999 1,066 million SLC +5.9%
2000 1,149 million SLC +7.8%
2001 4,735 million SLC +312.0%
2002 5,837 million SLC +23.3%
2003 6,027 million SLC +3.3%
2004 4,685 million SLC -22.3%
2005 4,932 million SLC +5.3%
2006 4,419 million SLC -10.4%
2007 4,400 million SLC -0.4%
2008 5,278 million SLC +20.0%
2009 3,914 million SLC -25.8%
2010 4,571 million SLC +16.8%
2011 5,476 million SLC +19.8%
2012 5,613 million SLC +2.5%
2013 5,441 million SLC -3.1%
2014 5,142 million SLC -5.5%
2015 4,539 million SLC -11.7%
2016 4,437 million SLC -2.3%
2017 4,107 million SLC -7.4%
2018 3,826 million SLC -6.9%
2019 3,597 million SLC -6.0%
2020 3,138 million SLC -12.7%
2021 5,879 million SLC +87.3%
2022 7,150 million SLC +21.6%
2023 5,973 million SLC -16.5%

Averages by decade

DecadeAverage LowestHighest Years
1990s 906.64 million SLC 766.82 million SLC 1,066 million SLC 5
2000s 4,538 million SLC 1,149 million SLC 6,027 million SLC 10
2010s 4,675 million SLC 3,597 million SLC 5,613 million SLC 10
2020s 5,535 million SLC 3,138 million SLC 7,150 million SLC 4

Countries ranked near Libya

  1. 124 French Polynesia 8,953 million SLC compare
  2. 125 Ecuador 7,021 million SLC compare
  3. 126 Djibouti 6,692 million SLC compare
  4. 128 Zimbabwe 5,499 million SLC compare
  5. 129 Eritrea 5,005 million SLC compare
  6. 130 Jordan 4,579 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 5,973 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 7,150 million SLC in 2022.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Libya?
The lowest recorded value was 766.82 million SLC in 1995.
How does Libya rank for net capital stocks (agriculture, forestry and fishing) — value?
Libya ranks 127th 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 up 9.8%. The long-run trend across the full record is rising.
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. 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 03 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/libya/

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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.