Value Added (Agriculture, Forestry and Fishing) — Value Standard in Mauritania
Mauritania: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 56,156 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Mauritania, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Mauritania recorded 56,156 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
The figure is up 4.7% on the previous year and up 49.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Mauritania peaked at 56,156 million SLC in 2024 and was at its lowest, 23,888 million SLC, in 1984.
That places Mauritania 80th 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 Mauritania, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 44,139 million SLC | — |
| 1971 | 40,003 million SLC | -9.4% |
| 1972 | 35,061 million SLC | -12.4% |
| 1973 | 27,662 million SLC | -21.1% |
| 1974 | 33,657 million SLC | +21.7% |
| 1975 | 35,507 million SLC | +5.5% |
| 1976 | 36,076 million SLC | +1.6% |
| 1977 | 31,020 million SLC | -14.0% |
| 1978 | 31,181 million SLC | +0.5% |
| 1979 | 33,467 million SLC | +7.3% |
| 1980 | 31,466 million SLC | -6.0% |
| 1981 | 42,346 million SLC | +34.6% |
| 1982 | 36,844 million SLC | -13.0% |
| 1983 | 32,234 million SLC | -12.5% |
| 1984 | 23,888 million SLC | -25.9% |
| 1985 | 28,482 million SLC | +19.2% |
| 1986 | 32,505 million SLC | +14.1% |
| 1987 | 32,234 million SLC | -0.8% |
| 1988 | 33,158 million SLC | +2.9% |
| 1989 | 33,668 million SLC | +1.5% |
| 1990 | 31,570 million SLC | -6.2% |
| 1991 | 33,885 million SLC | +7.3% |
| 1992 | 34,675 million SLC | +2.3% |
| 1993 | 39,089 million SLC | +12.7% |
| 1994 | 40,822 million SLC | +4.4% |
| 1995 | 43,671 million SLC | +7.0% |
| 1996 | 42,807 million SLC | -2.0% |
| 1997 | 33,290 million SLC | -22.2% |
| 1998 | 33,786 million SLC | +1.5% |
| 1999 | 35,712 million SLC | +5.7% |
| 2000 | 32,628 million SLC | -8.6% |
| 2001 | 32,066 million SLC | -1.7% |
| 2002 | 29,525 million SLC | -7.9% |
| 2003 | 30,338 million SLC | +2.8% |
| 2004 | 29,796 million SLC | -1.8% |
| 2005 | 32,798 million SLC | +10.1% |
| 2006 | 30,482 million SLC | -7.1% |
| 2007 | 32,884 million SLC | +7.9% |
| 2008 | 34,884 million SLC | +6.1% |
| 2009 | 34,966 million SLC | +0.2% |
| 2010 | 37,187 million SLC | +6.4% |
| 2011 | 37,213 million SLC | +0.1% |
| 2012 | 39,786 million SLC | +6.9% |
| 2013 | 38,985 million SLC | -2.0% |
| 2014 | 37,460 million SLC | -3.9% |
| 2015 | 41,305 million SLC | +10.3% |
| 2016 | 43,524 million SLC | +5.4% |
| 2017 | 48,617 million SLC | +11.7% |
| 2018 | 50,072 million SLC | +3.0% |
| 2019 | 51,617 million SLC | +3.1% |
| 2020 | 51,303 million SLC | -0.6% |
| 2021 | 49,821 million SLC | -2.9% |
| 2022 | 54,178 million SLC | +8.7% |
| 2023 | 53,622 million SLC | -1.0% |
| 2024 | 56,156 million SLC | +4.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 34,777 million SLC | 27,662 million SLC | 44,139 million SLC | 10 |
| 1980s | 32,683 million SLC | 23,888 million SLC | 42,346 million SLC | 10 |
| 1990s | 36,931 million SLC | 31,570 million SLC | 43,671 million SLC | 10 |
| 2000s | 32,037 million SLC | 29,525 million SLC | 34,966 million SLC | 10 |
| 2010s | 42,577 million SLC | 37,187 million SLC | 51,617 million SLC | 10 |
| 2020s | 53,016 million SLC | 49,821 million SLC | 56,156 million SLC | 5 |
Countries ranked near Mauritania
More environment data for Mauritania
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.465 °C (2025)
- Temperature change 1.85 °C (2025)
- Sawnwood — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0.0026 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate -70.94 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Import quantity, per capita 0.0009 m3 per person (2024)
- Sawnwood — Import value, annual growth rate -36.06 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Mauritania?
- Value added (agriculture, forestry and fishing) — value standard in Mauritania was 56,156 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 Mauritania?
- The highest recorded value was 56,156 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Mauritania?
- The lowest recorded value was 23,888 million SLC in 1984.
- How does Mauritania rank for value added (agriculture, forestry and fishing) — value standard?
- Mauritania ranks 80th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Mauritania?
- Over the last ten years it is up 49.9%. The long-run trend across the full record is rising.
- Where does this Mauritania 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
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).