Value Added (Agriculture, Forestry and Fishing) — Value Standard in Mauritius
Mauritius: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 28,927 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Mauritius, 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 Mauritius stood at 28,927 million SLC. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 15.6% on the previous year and up 126.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Mauritius peaked at 28,927 million SLC in 2024 and was at its lowest, 222 million SLC, in 1970.
That places Mauritius 101st out of 199 countries with data for 2024, putting it 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 Mauritius, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 222 million SLC | — |
| 1971 | 262 million SLC | +18.0% |
| 1972 | 353 million SLC | +34.7% |
| 1973 | 494 million SLC | +39.9% |
| 1974 | 1,323 million SLC | +167.8% |
| 1975 | 1,034 million SLC | -21.8% |
| 1976 | 982.09 million SLC | -5.0% |
| 1977 | 983.14 million SLC | +0.1% |
| 1978 | 1,023 million SLC | +4.0% |
| 1979 | 1,282 million SLC | +25.3% |
| 1980 | 956.97 million SLC | -25.3% |
| 1981 | 1,316 million SLC | +37.5% |
| 1982 | 1,602 million SLC | +21.7% |
| 1983 | 1,523 million SLC | -4.9% |
| 1984 | 1,802 million SLC | +18.3% |
| 1985 | 2,207 million SLC | +22.5% |
| 1986 | 2,571 million SLC | +16.5% |
| 1987 | 2,902 million SLC | +12.9% |
| 1988 | 3,099 million SLC | +6.8% |
| 1989 | 3,454 million SLC | +11.5% |
| 1990 | 3,999 million SLC | +15.8% |
| 1991 | 4,181 million SLC | +4.6% |
| 1992 | 4,806 million SLC | +15.0% |
| 1993 | 4,999 million SLC | +4.0% |
| 1994 | 5,238 million SLC | +4.8% |
| 1995 | 6,113 million SLC | +16.7% |
| 1996 | 6,863 million SLC | +12.3% |
| 1997 | 6,990 million SLC | +1.8% |
| 1998 | 7,758 million SLC | +11.0% |
| 1999 | 5,466 million SLC | -29.5% |
| 2000 | 6,984 million SLC | +27.8% |
| 2001 | 8,262 million SLC | +18.3% |
| 2002 | 7,530 million SLC | -8.9% |
| 2003 | 8,403 million SLC | +11.6% |
| 2004 | 9,545 million SLC | +13.6% |
| 2005 | 9,527 million SLC | -0.2% |
| 2006 | 10,935 million SLC | +14.8% |
| 2007 | 11,168 million SLC | +2.1% |
| 2008 | 11,583 million SLC | +3.7% |
| 2009 | 11,322 million SLC | -2.3% |
| 2010 | 11,215 million SLC | -0.9% |
| 2011 | 12,246 million SLC | +9.2% |
| 2012 | 12,824 million SLC | +4.7% |
| 2013 | 12,570 million SLC | -2.0% |
| 2014 | 12,779 million SLC | +1.7% |
| 2015 | 12,931 million SLC | +1.2% |
| 2016 | 13,864 million SLC | +7.2% |
| 2017 | 14,161 million SLC | +2.1% |
| 2018 | 12,821 million SLC | -9.5% |
| 2019 | 13,864 million SLC | +8.1% |
| 2020 | 14,103 million SLC | +1.7% |
| 2021 | 15,706 million SLC | +11.4% |
| 2022 | 20,320 million SLC | +29.4% |
| 2023 | 25,013 million SLC | +23.1% |
| 2024 | 28,927 million SLC | +15.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 795.77 million SLC | 222 million SLC | 1,323 million SLC | 10 |
| 1980s | 2,143 million SLC | 956.97 million SLC | 3,454 million SLC | 10 |
| 1990s | 5,641 million SLC | 3,999 million SLC | 7,758 million SLC | 10 |
| 2000s | 9,526 million SLC | 6,984 million SLC | 11,583 million SLC | 10 |
| 2010s | 12,927 million SLC | 11,215 million SLC | 14,161 million SLC | 10 |
| 2020s | 20,814 million SLC | 14,103 million SLC | 28,927 million SLC | 5 |
Countries ranked near Mauritius
- 98 Germany 35,574 million SLC compare
- 99 Tajikistan 35,336 million SLC compare
- 100 Vanuatu 32,715 million SLC compare
- 102 Turkmenistan 26,802 million SLC compare
- 103 Yugoslav SFR 25,451 million SLC compare
- 104 New Caledonia 23,248 million SLC compare
More environment data for Mauritius
- Historical exposure to drought — Land soil moisture anomaly 9.92 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 9.84 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.295 °C (2025)
- Temperature change 1.05 °C (2025)
- Other paper and paperboard, not elsewhere specified — Import -38.46 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 0 t per person (2024)
- Exposure to drought — Land soil moisture anomaly 6.77 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly -4.36 Percentage change (2024)
- Other paper and paperboard, not elsewhere specified — Import value 25.93 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Mauritius?
- Value added (agriculture, forestry and fishing) — value standard in Mauritius was 28,927 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 Mauritius?
- The highest recorded value was 28,927 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Mauritius?
- The lowest recorded value was 222 million SLC in 1970.
- How does Mauritius rank for value added (agriculture, forestry and fishing) — value standard?
- Mauritius ranks 101st out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Mauritius?
- Over the last ten years it is up 126.4%. The long-run trend across the full record is volatile.
- Where does this Mauritius 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).