Value Added (Agriculture, Forestry and Fishing) — Value Standard in Algeria
Algeria: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 2.48 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Algeria, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Algeria recorded 2.48 million million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
That represents a change of up 3.6% on the previous year and up 35.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Algeria peaked at 2.48 million million SLC in 2024 and was at its lowest, 252,071 million SLC, in 1973.
Algeria ranks 29th of 191 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Algeria, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 269,899 million SLC | — |
| 1971 | 281,011 million SLC | +4.1% |
| 1972 | 278,133 million SLC | -1.0% |
| 1973 | 252,071 million SLC | -9.4% |
| 1974 | 273,416 million SLC | +8.5% |
| 1975 | 322,344 million SLC | +17.9% |
| 1976 | 283,410 million SLC | -12.1% |
| 1977 | 276,454 million SLC | -2.5% |
| 1978 | 305,875 million SLC | +10.6% |
| 1979 | 334,196 million SLC | +9.3% |
| 1980 | 376,679 million SLC | +12.7% |
| 1981 | 377,432 million SLC | +0.2% |
| 1982 | 346,483 million SLC | -8.2% |
| 1983 | 339,207 million SLC | -2.1% |
| 1984 | 371,092 million SLC | +9.4% |
| 1985 | 426,756 million SLC | +15.0% |
| 1986 | 421,208 million SLC | -1.3% |
| 1987 | 493,235 million SLC | +17.1% |
| 1988 | 459,695 million SLC | -6.8% |
| 1989 | 530,028 million SLC | +15.3% |
| 1990 | 497,166 million SLC | -6.2% |
| 1991 | 573,730 million SLC | +15.4% |
| 1992 | 600,121 million SLC | +4.6% |
| 1993 | 577,917 million SLC | -3.7% |
| 1994 | 525,904 million SLC | -9.0% |
| 1995 | 604,580 million SLC | +15.0% |
| 1996 | 749,074 million SLC | +23.9% |
| 1997 | 648,324 million SLC | -13.4% |
| 1998 | 722,233 million SLC | +11.4% |
| 1999 | 741,733 million SLC | +2.7% |
| 2000 | 707,613 million SLC | -4.6% |
| 2001 | 798,188 million SLC | +12.8% |
| 2002 | 788,609 million SLC | -1.2% |
| 2003 | 942,388 million SLC | +19.5% |
| 2004 | 993,277 million SLC | +5.4% |
| 2005 | 1.02 million million SLC | +2.3% |
| 2006 | 1.10 million million SLC | +8.1% |
| 2007 | 1.13 million million SLC | +2.5% |
| 2008 | 1.08 million million SLC | -3.8% |
| 2009 | 1.31 million million SLC | +21.1% |
| 2010 | 1.38 million million SLC | +4.9% |
| 2011 | 1.54 million million SLC | +11.6% |
| 2012 | 1.65 million million SLC | +7.2% |
| 2013 | 1.78 million million SLC | +8.2% |
| 2014 | 1.83 million million SLC | +2.5% |
| 2015 | 1.94 million million SLC | +6.0% |
| 2016 | 1.97 million million SLC | +1.8% |
| 2017 | 1.98 million million SLC | +0.6% |
| 2018 | 2.05 million million SLC | +3.5% |
| 2019 | 2.17 million million SLC | +6.0% |
| 2020 | 2.20 million million SLC | +1.2% |
| 2021 | 2.21 million million SLC | +0.4% |
| 2022 | 2.32 million million SLC | +5.2% |
| 2023 | 2.39 million million SLC | +2.9% |
| 2024 | 2.48 million million SLC | +3.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 287,681 million SLC | 252,071 million SLC | 334,196 million SLC | 10 |
| 1980s | 414,182 million SLC | 339,207 million SLC | 530,028 million SLC | 10 |
| 1990s | 624,078 million SLC | 497,166 million SLC | 749,074 million SLC | 10 |
| 2000s | 986,526 million SLC | 707,613 million SLC | 1.31 million million SLC | 10 |
| 2010s | 1.83 million million SLC | 1.38 million million SLC | 2.17 million million SLC | 10 |
| 2020s | 2.32 million million SLC | 2.20 million million SLC | 2.48 million million SLC | 5 |
Countries ranked near Algeria
More environment data for Algeria
- Historical exposure to drought — Land soil moisture anomaly -26.91 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -13.76 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.401 °C (2025)
- Temperature change 2.01 °C (2025)
- Sawnwood, non-coniferous — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood, non-coniferous — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Production, per capita 0.0001 m3 per person (2024)
- Sawnwood, non-coniferous — Import quantity, annual growth rate -21.62 % change on previous year (2024)
- Sawnwood, non-coniferous — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Algeria?
- Value added (agriculture, forestry and fishing) — value standard in Algeria was 2.48 million 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 Algeria?
- The highest recorded value was 2.48 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Algeria?
- The lowest recorded value was 252,071 million SLC in 1973.
- How does Algeria rank for value added (agriculture, forestry and fishing) — value standard?
- Algeria ranks 29th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Algeria?
- Over the last ten years it is up 35.7%. The long-run trend across the full record is volatile.
- Where does this Algeria 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).