Value Added (Agriculture, Forestry and Fishing) — Value Standard in Mauritania
Mauritania: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 79,445 million SLC in 2024. ◆ Volatile
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 79,445 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 9.1% on the previous year and up 111.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Mauritania peaked at 79,445 million SLC in 2024 and was at its lowest, 857.09 million SLC, in 1973.
Mauritania ranks 83rd of 199 countries on this measure, in the middle of the range.
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 Mauritania, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 915.29 million SLC | — |
| 1971 | 937.92 million SLC | +2.5% |
| 1972 | 978.19 million SLC | +4.3% |
| 1973 | 857.09 million SLC | -12.4% |
| 1974 | 1,203 million SLC | +40.4% |
| 1975 | 1,510 million SLC | +25.5% |
| 1976 | 1,795 million SLC | +18.9% |
| 1977 | 1,647 million SLC | -8.2% |
| 1978 | 1,802 million SLC | +9.4% |
| 1979 | 2,577 million SLC | +43.0% |
| 1980 | 3,604 million SLC | +39.8% |
| 1981 | 4,474 million SLC | +24.1% |
| 1982 | 3,829 million SLC | -14.4% |
| 1983 | 3,522 million SLC | -8.0% |
| 1984 | 2,517 million SLC | -28.5% |
| 1985 | 2,895 million SLC | +15.0% |
| 1986 | 4,185 million SLC | +44.6% |
| 1987 | 5,727 million SLC | +36.9% |
| 1988 | 6,197 million SLC | +8.2% |
| 1989 | 6,910 million SLC | +11.5% |
| 1990 | 6,268 million SLC | -9.3% |
| 1991 | 6,827 million SLC | +8.9% |
| 1992 | 7,144 million SLC | +4.6% |
| 1993 | 8,196 million SLC | +14.7% |
| 1994 | 8,783 million SLC | +7.2% |
| 1995 | 9,461 million SLC | +7.7% |
| 1996 | 9,687 million SLC | +2.4% |
| 1997 | 9,594 million SLC | -1.0% |
| 1998 | 9,937 million SLC | +3.6% |
| 1999 | 10,933 million SLC | +10.0% |
| 2000 | 10,556 million SLC | -3.4% |
| 2001 | 11,100 million SLC | +5.2% |
| 2002 | 11,701 million SLC | +5.4% |
| 2003 | 13,045 million SLC | +11.5% |
| 2004 | 14,366 million SLC | +10.1% |
| 2005 | 15,651 million SLC | +8.9% |
| 2006 | 17,484 million SLC | +11.7% |
| 2007 | 20,716 million SLC | +18.5% |
| 2008 | 23,017 million SLC | +11.1% |
| 2009 | 23,722 million SLC | +3.1% |
| 2010 | 25,986 million SLC | +9.5% |
| 2011 | 27,604 million SLC | +6.2% |
| 2012 | 32,103 million SLC | +16.3% |
| 2013 | 35,363 million SLC | +10.2% |
| 2014 | 37,548 million SLC | +6.2% |
| 2015 | 41,305 million SLC | +10.0% |
| 2016 | 49,016 million SLC | +18.7% |
| 2017 | 55,299 million SLC | +12.8% |
| 2018 | 63,076 million SLC | +14.1% |
| 2019 | 57,811 million SLC | -8.3% |
| 2020 | 58,838 million SLC | +1.8% |
| 2021 | 63,687 million SLC | +8.2% |
| 2022 | 74,948 million SLC | +17.7% |
| 2023 | 72,848 million SLC | -2.8% |
| 2024 | 79,445 million SLC | +9.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,422 million SLC | 857.09 million SLC | 2,577 million SLC | 10 |
| 1980s | 4,386 million SLC | 2,517 million SLC | 6,910 million SLC | 10 |
| 1990s | 8,683 million SLC | 6,268 million SLC | 10,933 million SLC | 10 |
| 2000s | 16,136 million SLC | 10,556 million SLC | 23,722 million SLC | 10 |
| 2010s | 42,511 million SLC | 25,986 million SLC | 63,076 million SLC | 10 |
| 2020s | 69,953 million SLC | 58,838 million SLC | 79,445 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)
- Paper and paperboard — Import quantity, annual growth rate 11.95 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0025 t per person (2024)
- Paper and paperboard — Import value, annual growth rate -6.29 % change on previous year (2024)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Paper and paperboard — Import value, per capita 0.0021 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate -12.63 % 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 79,445 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 79,445 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Mauritania?
- The lowest recorded value was 857.09 million SLC in 1973.
- How does Mauritania rank for value added (agriculture, forestry and fishing) — value standard?
- Mauritania ranks 83rd out of 199 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 111.6%. The long-run trend across the full record is volatile.
- 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. 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).