Value Added (Agriculture, Forestry and Fishing) — Value Standard in Mali
Mali: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 4.77 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Mali, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Mali recorded 4.77 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.
Compared with earlier readings it is up 7.9% on the previous year and up 76.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Mali peaked at 4.77 million million SLC in 2024 and was at its lowest, 147,002 million SLC, in 1974.
Mali ranks 19th of 191 countries on this measure, in the top 10%.
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 Mali, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 169,890 million SLC | — |
| 1971 | 173,850 million SLC | +2.3% |
| 1972 | 176,491 million SLC | +1.5% |
| 1973 | 157,127 million SLC | -11.0% |
| 1974 | 147,002 million SLC | -6.4% |
| 1975 | 183,093 million SLC | +24.6% |
| 1976 | 209,501 million SLC | +14.4% |
| 1977 | 226,227 million SLC | +8.0% |
| 1978 | 209,063 million SLC | -7.6% |
| 1979 | 242,511 million SLC | +16.0% |
| 1980 | 276,671 million SLC | +14.1% |
| 1981 | 286,460 million SLC | +3.5% |
| 1982 | 253,069 million SLC | -11.7% |
| 1983 | 236,986 million SLC | -6.4% |
| 1984 | 217,986 million SLC | -8.0% |
| 1985 | 281,763 million SLC | +29.3% |
| 1986 | 277,945 million SLC | -1.4% |
| 1987 | 284,737 million SLC | +2.4% |
| 1988 | 283,153 million SLC | -0.6% |
| 1989 | 350,088 million SLC | +23.6% |
| 1990 | 335,836 million SLC | -4.1% |
| 1991 | 392,531 million SLC | +16.9% |
| 1992 | 353,703 million SLC | -9.9% |
| 1993 | 383,184 million SLC | +8.3% |
| 1994 | 426,817 million SLC | +11.4% |
| 1995 | 483,341 million SLC | +13.2% |
| 1996 | 557,410 million SLC | +15.3% |
| 1997 | 610,852 million SLC | +9.6% |
| 1998 | 664,903 million SLC | +8.8% |
| 1999 | 730,518 million SLC | +9.9% |
| 2000 | 679,783 million SLC | -6.9% |
| 2001 | 789,658 million SLC | +16.2% |
| 2002 | 811,750 million SLC | +2.8% |
| 2003 | 1.06 million million SLC | +30.1% |
| 2004 | 807,315 million SLC | -23.6% |
| 2005 | 927,754 million SLC | +14.9% |
| 2006 | 1.11 million million SLC | +19.7% |
| 2007 | 1.10 million million SLC | -0.9% |
| 2008 | 1.36 million million SLC | +23.6% |
| 2009 | 1.51 million million SLC | +10.9% |
| 2010 | 1.70 million million SLC | +12.4% |
| 2011 | 1.72 million million SLC | +1.5% |
| 2012 | 2.34 million million SLC | +35.6% |
| 2013 | 2.38 million million SLC | +2.1% |
| 2014 | 2.70 million million SLC | +13.3% |
| 2015 | 2.88 million million SLC | +6.8% |
| 2016 | 3.20 million million SLC | +11.0% |
| 2017 | 3.31 million million SLC | +3.5% |
| 2018 | 3.57 million million SLC | +7.7% |
| 2019 | 3.76 million million SLC | +5.4% |
| 2020 | 3.66 million million SLC | -2.6% |
| 2021 | 3.74 million million SLC | +2.0% |
| 2022 | 4.01 million million SLC | +7.2% |
| 2023 | 4.42 million million SLC | +10.2% |
| 2024 | 4.77 million million SLC | +7.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 189,476 million SLC | 147,002 million SLC | 242,511 million SLC | 10 |
| 1980s | 274,886 million SLC | 217,986 million SLC | 350,088 million SLC | 10 |
| 1990s | 493,910 million SLC | 335,836 million SLC | 730,518 million SLC | 10 |
| 2000s | 1.02 million million SLC | 679,783 million SLC | 1.51 million million SLC | 10 |
| 2010s | 2.76 million million SLC | 1.70 million million SLC | 3.76 million million SLC | 10 |
| 2020s | 4.12 million million SLC | 3.66 million million SLC | 4.77 million million SLC | 5 |
Countries ranked near Mali
More environment data for Mali
- Historical exposure to drought — Land soil moisture anomaly -6.69 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.27 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.401 °C (2025)
- Temperature change 1.44 °C (2025)
- Wood-based panels — Import quantity, annual growth rate 17.03 % change on previous year (2024)
- Wood-based panels — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Wood-based panels — Import quantity, per capita 0.0008 m3 per person (2024)
- Wood-based panels — Import value, annual growth rate 27.73 % change on previous year (2024)
- Wood-based panels — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Mali?
- Value added (agriculture, forestry and fishing) — value standard in Mali was 4.77 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 Mali?
- The highest recorded value was 4.77 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Mali?
- The lowest recorded value was 147,002 million SLC in 1974.
- How does Mali rank for value added (agriculture, forestry and fishing) — value standard?
- Mali ranks 19th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Mali?
- Over the last ten years it is up 76.4%. The long-run trend across the full record is volatile.
- Where does this Mali 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).