Value Added (Agriculture, Forestry and Fishing) — Value Standard in Algeria
Algeria: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 4.81 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
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Algeria is 4.81 million million SLC, measured in 2024. That is the highest value across all 55 years on record.
That represents a change of up 9.2% on the previous year and up 171.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Algeria peaked at 4.81 million million SLC in 2024 and was at its lowest, 3,376 million SLC, in 1970.
Algeria ranks 31st of 199 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 | 3,376 million SLC | — |
| 1971 | 3,639 million SLC | +7.8% |
| 1972 | 3,932 million SLC | +8.1% |
| 1973 | 3,793 million SLC | -3.5% |
| 1974 | 4,755 million SLC | +25.4% |
| 1975 | 6,906 million SLC | +45.2% |
| 1976 | 7,390 million SLC | +7.0% |
| 1977 | 7,444 million SLC | +0.7% |
| 1978 | 9,369 million SLC | +25.8% |
| 1979 | 10,897 million SLC | +16.3% |
| 1980 | 13,056 million SLC | +19.8% |
| 1981 | 16,420 million SLC | +25.8% |
| 1982 | 16,273 million SLC | -0.9% |
| 1983 | 16,778 million SLC | +3.1% |
| 1984 | 18,476 million SLC | +10.1% |
| 1985 | 24,332 million SLC | +31.7% |
| 1986 | 26,549 million SLC | +9.1% |
| 1987 | 32,114 million SLC | +21.0% |
| 1988 | 39,184 million SLC | +22.0% |
| 1989 | 52,165 million SLC | +33.1% |
| 1990 | 63,371 million SLC | +21.5% |
| 1991 | 88,206 million SLC | +39.2% |
| 1992 | 129,738 million SLC | +47.1% |
| 1993 | 132,451 million SLC | +2.1% |
| 1994 | 147,114 million SLC | +11.1% |
| 1995 | 198,583 million SLC | +35.0% |
| 1996 | 280,701 million SLC | +41.4% |
| 1997 | 245,201 million SLC | -12.6% |
| 1998 | 328,189 million SLC | +33.8% |
| 1999 | 363,367 million SLC | +10.7% |
| 2000 | 349,733 million SLC | -3.8% |
| 2001 | 416,360 million SLC | +19.1% |
| 2002 | 421,519 million SLC | +1.2% |
| 2003 | 515,282 million SLC | +22.2% |
| 2004 | 580,506 million SLC | +12.7% |
| 2005 | 581,616 million SLC | +0.2% |
| 2006 | 641,285 million SLC | +10.3% |
| 2007 | 708,072 million SLC | +10.4% |
| 2008 | 727,413 million SLC | +2.7% |
| 2009 | 931,349 million SLC | +28.0% |
| 2010 | 1.02 million million SLC | +9.0% |
| 2011 | 1.18 million million SLC | +16.5% |
| 2012 | 1.42 million million SLC | +20.2% |
| 2013 | 1.64 million million SLC | +15.4% |
| 2014 | 1.77 million million SLC | +8.1% |
| 2015 | 1.94 million million SLC | +9.2% |
| 2016 | 2.14 million million SLC | +10.6% |
| 2017 | 2.22 million million SLC | +3.7% |
| 2018 | 2.42 million million SLC | +9.1% |
| 2019 | 2.61 million million SLC | +7.8% |
| 2020 | 2.62 million million SLC | +0.2% |
| 2021 | 2.83 million million SLC | +8.1% |
| 2022 | 3.40 million million SLC | +20.3% |
| 2023 | 4.40 million million SLC | +29.5% |
| 2024 | 4.81 million million SLC | +9.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 6,150 million SLC | 3,376 million SLC | 10,897 million SLC | 10 |
| 1980s | 25,535 million SLC | 13,056 million SLC | 52,165 million SLC | 10 |
| 1990s | 197,692 million SLC | 63,371 million SLC | 363,367 million SLC | 10 |
| 2000s | 587,314 million SLC | 349,733 million SLC | 931,349 million SLC | 10 |
| 2010s | 1.84 million million SLC | 1.02 million million SLC | 2.61 million million SLC | 10 |
| 2020s | 3.61 million million SLC | 2.62 million million SLC | 4.81 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)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Paper and paperboard — Import value, per capita 0.0166 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate 13.67 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.0056 t per person (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 4.81 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 4.81 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 3,376 million SLC in 1970.
- How does Algeria rank for value added (agriculture, forestry and fishing) — value standard?
- Algeria ranks 31st out of 199 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 171.2%. 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. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).