Gender gap in informal employment by industry: Agriculture — Value in Mali
Mali: Gender gap in informal employment by industry: Agriculture — Value was -2.37 % in 2023. ◆ Volatile
Gender gap in informal employment by industry: Agriculture — Value in Mali, 2013–2023
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
Mali recorded -2.37 % for gender gap in informal employment by industry: agriculture — value in 2023.
That represents a change of down 593.8% on the previous year and down 146.9% over ten years.
Over the whole period, gender gap in informal employment by industry: agriculture — value in Mali peaked at 2.24 % in 2016 and was at its lowest, -2.92 %, in 2014.
Mali ranks 19th of 39 countries on this measure, in the middle of the range.
Gender gap in informal employment by industry: Agriculture — Value in Mali, year by year
| Year | % | Change |
|---|---|---|
| 2013 | -0.96 % | — |
| 2014 | -2.92 % | +204.2% |
| 2015 | -1.1 % | -62.3% |
| 2016 | 2.24 % | -303.6% |
| 2017 | 0.95 % | -57.6% |
| 2018 | -0.51 % | -153.7% |
| 2020 | -0.74 % | +45.1% |
| 2022 | 0.48 % | -164.9% |
| 2023 | -2.37 % | -593.8% |
Mali compared with similar countries
- Mali's -2.37 % is below the median for Sub-Saharan Africa, which is -1.77 %, 1.3× the median. (10 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -0.3833 % | -2.92 % | 2.24 % | 6 |
| 2020s | -0.8767 % | -2.37 % | 0.48 % | 3 |
Countries ranked near Mali
More agriculture & rural data for Mali
- Agriculture, forestry, and fishing, value added (current US$), annual 13.83 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.3302 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 394.01 current US$ per person (2025)
- Rural population, annual growth rate 2.03 % change on previous year (2025)
- Rural population, per unit of GDP 0.0006 units per US$ of GDP (2025)
- Rural population, per capita 0.6779 units per person (2025)
- Share of GDP from agriculture 33.0% (2025)
- Agriculture as a share of GDP vs. GDP per capita 33.0% (2025)
- Agricultural raw materials exports 8.4% (2023)
- Agricultural raw materials imports 0.4% (2023)
Frequently asked questions
- What is gender gap in informal employment by industry: agriculture — value in Mali?
- Gender gap in informal employment by industry: agriculture — value in Mali was -2.37 % in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest gender gap in informal employment by industry: agriculture — value recorded in Mali?
- The highest recorded value was 2.24 % in 2016.
- What is the lowest gender gap in informal employment by industry: agriculture — value recorded in Mali?
- The lowest recorded value was -2.92 % in 2014.
- How does Mali rank for gender gap in informal employment by industry: agriculture — value?
- Mali ranks 19th out of 39 countries with data for 2023.
- Is gender gap in informal employment by industry: agriculture — value rising or falling in Mali?
- Over the last ten years it is down 146.9%. 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 Gender gap in informal employment by industry: Agriculture — Value — All age ranges or no breakdown by age — National — Agriculture. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 9 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The Suite of Gender Indicators presents a set of indicators relevant to agrifood systems that are disaggregated by sex, with the aim of highlighting gender differences across agrifood systems. The initial set of indicators is based on those used in FAO’s 2023 Status of Women in Agrifood Systems (SWAFS) report and on the recommendations of an expert consultation held in December 2023, and covers key dimensions including economic participation, governance, agency, social norms, assets and services, education, health, and nutrition. Indicator selection was informed by expert judgment and by the availability of data with sufficient geographic and temporal coverage to enable meaningful comparisons across regions and over time. While most indicators are produced and published by FAO and other international organizations, the objective of this domain is to provide a one-stop shop for sex-disaggregated data on agrifood systems.