Value Added (Agriculture, Forestry and Fishing) — Value Standard in Libya
Libya: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1,384 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Libya, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Libya stood at 1,384 million SLC.
Compared with earlier readings it is down 0.9% on the previous year and down 59.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Libya peaked at 3,426 million SLC in 2014 and was at its lowest, 690.74 million SLC, in 1971.
That places Libya 139th out of 191 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Libya, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 739.29 million SLC | — |
| 1971 | 690.74 million SLC | -6.6% |
| 1972 | 770.37 million SLC | +11.5% |
| 1973 | 783.27 million SLC | +1.7% |
| 1974 | 900.01 million SLC | +14.9% |
| 1975 | 1,063 million SLC | +18.1% |
| 1976 | 1,214 million SLC | +14.2% |
| 1977 | 1,014 million SLC | -16.5% |
| 1978 | 1,101 million SLC | +8.6% |
| 1979 | 1,169 million SLC | +6.2% |
| 1980 | 1,345 million SLC | +15.0% |
| 1981 | 1,528 million SLC | +13.6% |
| 1982 | 1,565 million SLC | +2.5% |
| 1983 | 1,795 million SLC | +14.7% |
| 1984 | 1,725 million SLC | -3.9% |
| 1985 | 1,795 million SLC | +4.0% |
| 1986 | 1,592 million SLC | -11.3% |
| 1987 | 1,358 million SLC | -14.7% |
| 1988 | 1,460 million SLC | +7.5% |
| 1989 | 1,566 million SLC | +7.3% |
| 1990 | 1,626 million SLC | +3.8% |
| 1991 | 1,872 million SLC | +15.1% |
| 1992 | 1,832 million SLC | -2.1% |
| 1993 | 1,767 million SLC | -3.6% |
| 1994 | 1,761 million SLC | -0.3% |
| 1995 | 1,790 million SLC | +1.6% |
| 1996 | 1,809 million SLC | +1.1% |
| 1997 | 1,929 million SLC | +6.6% |
| 1998 | 1,939 million SLC | +0.6% |
| 1999 | 1,883 million SLC | -2.9% |
| 2000 | 1,940 million SLC | +3.0% |
| 2001 | 2,025 million SLC | +4.4% |
| 2002 | 2,055 million SLC | +1.5% |
| 2003 | 2,082 million SLC | +1.3% |
| 2004 | 2,134 million SLC | +2.5% |
| 2005 | 2,248 million SLC | +5.3% |
| 2006 | 2,030 million SLC | -9.7% |
| 2007 | 1,819 million SLC | -10.4% |
| 2008 | 1,892 million SLC | +4.1% |
| 2009 | 1,961 million SLC | +3.6% |
| 2010 | 2,110 million SLC | +7.6% |
| 2011 | 2,229 million SLC | +5.6% |
| 2012 | 3,062 million SLC | +37.4% |
| 2013 | 3,232 million SLC | +5.5% |
| 2014 | 3,426 million SLC | +6.0% |
| 2015 | 2,952 million SLC | -13.9% |
| 2016 | 2,238 million SLC | -24.2% |
| 2017 | 1,884 million SLC | -15.8% |
| 2018 | 1,966 million SLC | +4.3% |
| 2019 | 2,363 million SLC | +20.2% |
| 2020 | 1,117 million SLC | -52.7% |
| 2021 | 1,433 million SLC | +28.3% |
| 2022 | 1,283 million SLC | -10.5% |
| 2023 | 1,396 million SLC | +8.8% |
| 2024 | 1,384 million SLC | -0.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 944.48 million SLC | 690.74 million SLC | 1,214 million SLC | 10 |
| 1980s | 1,573 million SLC | 1,345 million SLC | 1,795 million SLC | 10 |
| 1990s | 1,821 million SLC | 1,626 million SLC | 1,939 million SLC | 10 |
| 2000s | 2,019 million SLC | 1,819 million SLC | 2,248 million SLC | 10 |
| 2010s | 2,546 million SLC | 1,884 million SLC | 3,426 million SLC | 10 |
| 2020s | 1,322 million SLC | 1,117 million SLC | 1,433 million SLC | 5 |
Countries ranked near Libya
More environment data for Libya
- Historical exposure to drought — Land soil moisture anomaly -35.17 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -10.37 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.386 °C (2025)
- Temperature change 1.4 °C (2025)
- Newsprint — Import quantity, gaps filled 542 t (2024)
- Newsprint — Import quantity, annual growth rate 20.71 % change on previous year (2024)
- Newsprint — Import value, gaps filled 380 1000 USD (2024)
- Newsprint — Import value, annual growth rate 15.15 % change on previous year (2024)
- Printing and writing papers — Import quantity, annual growth rate -44.07 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Libya?
- Value added (agriculture, forestry and fishing) — value standard in Libya was 1,384 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Libya?
- The highest recorded value was 3,426 million SLC in 2014.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Libya?
- The lowest recorded value was 690.74 million SLC in 1971.
- How does Libya rank for value added (agriculture, forestry and fishing) — value standard?
- Libya ranks 139th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Libya?
- Over the last ten years it is down 59.6%. 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 Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).