Value Added (Agriculture, Forestry and Fishing) — Value Standard in Mali
Mali: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 4.89 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
In 2024, value added (agriculture, forestry and fishing) — value standard in Mali stood at 4.89 million million SLC. That is the highest value across all 55 years on record.
That represents a change of up 11.1% on the previous year and up 86.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Mali peaked at 4.89 million million SLC in 2024 and was at its lowest, 75,190 million SLC, in 1970.
Mali ranks 30th 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 Mali, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 75,190 million SLC | — |
| 1971 | 81,214 million SLC | +8.0% |
| 1972 | 89,469 million SLC | +10.2% |
| 1973 | 84,784 million SLC | -5.2% |
| 1974 | 78,090 million SLC | -7.9% |
| 1975 | 133,869 million SLC | +71.4% |
| 1976 | 161,758 million SLC | +20.8% |
| 1977 | 186,078 million SLC | +15.0% |
| 1978 | 188,086 million SLC | +1.1% |
| 1979 | 244,088 million SLC | +29.8% |
| 1980 | 202,174 million SLC | -17.2% |
| 1981 | 232,999 million SLC | +15.2% |
| 1982 | 240,783 million SLC | +3.3% |
| 1983 | 228,225 million SLC | -5.2% |
| 1984 | 242,236 million SLC | +6.1% |
| 1985 | 206,326 million SLC | -14.8% |
| 1986 | 256,039 million SLC | +24.1% |
| 1987 | 279,910 million SLC | +9.3% |
| 1988 | 285,826 million SLC | +2.1% |
| 1989 | 323,708 million SLC | +13.3% |
| 1990 | 325,057 million SLC | +0.4% |
| 1991 | 390,114 million SLC | +20.0% |
| 1992 | 342,299 million SLC | -12.3% |
| 1993 | 373,370 million SLC | +9.1% |
| 1994 | 484,402 million SLC | +29.7% |
| 1995 | 528,788 million SLC | +9.2% |
| 1996 | 586,286 million SLC | +10.9% |
| 1997 | 594,184 million SLC | +1.3% |
| 1998 | 673,159 million SLC | +13.3% |
| 1999 | 740,736 million SLC | +10.0% |
| 2000 | 681,402 million SLC | -8.0% |
| 2001 | 821,270 million SLC | +20.5% |
| 2002 | 872,383 million SLC | +6.2% |
| 2003 | 800,122 million SLC | -8.3% |
| 2004 | 845,797 million SLC | +5.7% |
| 2005 | 1.03 million million SLC | +22.2% |
| 2006 | 1.04 million million SLC | +1.0% |
| 2007 | 1.18 million million SLC | +13.3% |
| 2008 | 1.40 million million SLC | +18.4% |
| 2009 | 1.50 million million SLC | +7.3% |
| 2010 | 1.71 million million SLC | +13.8% |
| 2011 | 2.09 million million SLC | +22.0% |
| 2012 | 2.38 million million SLC | +14.3% |
| 2013 | 2.37 million million SLC | -0.7% |
| 2014 | 2.62 million million SLC | +10.7% |
| 2015 | 2.88 million million SLC | +10.1% |
| 2016 | 3.06 million million SLC | +6.2% |
| 2017 | 3.29 million million SLC | +7.4% |
| 2018 | 3.52 million million SLC | +6.9% |
| 2019 | 3.72 million million SLC | +5.9% |
| 2020 | 3.59 million million SLC | -3.7% |
| 2021 | 3.77 million million SLC | +5.0% |
| 2022 | 4.14 million million SLC | +10.0% |
| 2023 | 4.40 million million SLC | +6.2% |
| 2024 | 4.89 million million SLC | +11.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 132,263 million SLC | 75,190 million SLC | 244,088 million SLC | 10 |
| 1980s | 249,823 million SLC | 202,174 million SLC | 323,708 million SLC | 10 |
| 1990s | 503,840 million SLC | 325,057 million SLC | 740,736 million SLC | 10 |
| 2000s | 1.02 million million SLC | 681,402 million SLC | 1.50 million million SLC | 10 |
| 2010s | 2.77 million million SLC | 1.71 million million SLC | 3.72 million million SLC | 10 |
| 2020s | 4.16 million million SLC | 3.59 million million SLC | 4.89 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)
- Printing and writing papers — Import quantity, annual growth rate 68.83 % change on previous year (2024)
- Printing and writing papers — Import quantity, per capita 0.0001 t per person (2024)
- Printing and writing papers — Import value, annual growth rate 14.65 % change on previous year (2024)
- Printing and writing papers — Import value, per capita 0.0001 1000 USD per person (2024)
- Other paper and paperboard — Import quantity, annual growth rate -45.17 % change on previous year (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 4.89 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 4.89 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 75,190 million SLC in 1970.
- How does Mali rank for value added (agriculture, forestry and fishing) — value standard?
- Mali ranks 30th out of 199 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 86.5%. 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. 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).