Gender gap in earnings of employees in agriculture — Value — All age in Mali
Mali: Gender gap in earnings of employees in agriculture — Value — All age was 0.82 % in 2018. ◆ Volatile
Gender gap in earnings of employees in agriculture — Value — All age in Mali, 2013–2018
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
In 2018, gender gap in earnings of employees in agriculture — value — all age in Mali stood at 0.82 %. That is the highest value across all 6 years on record.
That represents a change of up 26.2% on the previous year and up 20.6% over ten years.
Mali ranks 1st of 43 countries on this measure, in the top 10%.
Gender gap in earnings of employees in agriculture — Value — All age in Mali, year by year
| Year | % | Change |
|---|---|---|
| 2013 | 0.68 % | — |
| 2014 | 0.43 % | -36.8% |
| 2015 | -0.21 % | -148.8% |
| 2016 | 0.48 % | -328.6% |
| 2017 | 0.65 % | +35.4% |
| 2018 | 0.82 % | +26.2% |
Mali compared with similar countries
- Mali's 0.82 % is above the median for Sub-Saharan Africa, which is 0.035 %, 23.4× the median. (8 countries reporting)
Countries ranked near Mali
- 1 Viet Nam 0.21 % compare
- 2 Bangladesh 0.36 % compare
- 2 Türkiye 0.14 % compare
- 3 Bolivia (Plurinational State of) 0.12 % compare
- 3 Jamaica 0.33 %
- 4 Myanmar 0.31 %
- 4 Republic of Moldova -0.04 % compare
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 earnings of employees in agriculture — value — all age in Mali?
- Gender gap in earnings of employees in agriculture — value — all age in Mali was 0.82 % in 2018, according to Food and Agriculture Organization of the United Nations.
- What is the highest gender gap in earnings of employees in agriculture — value — all age recorded in Mali?
- The highest recorded value was 0.82 % in 2018.
- What is the lowest gender gap in earnings of employees in agriculture — value — all age recorded in Mali?
- The lowest recorded value was -0.21 % in 2015.
- How does Mali rank for gender gap in earnings of employees in agriculture — value — all age?
- Mali ranks 1st out of 43 countries with data for 2018.
- Is gender gap in earnings of employees in agriculture — value — all age rising or falling in Mali?
- Over the last ten years it is up 20.6%. 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 earnings of employees in agriculture — Value — All age ranges or no breakdown by age — National. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 6 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.