El Salvador vs Namibia: Gender gap in the share of Self-employed people in [industry]: Total
Gender gap in the share of Self-employed people in [industry]: Total over time
- El Salvador
- Namibia
How they compare
El Salvador currently reports -10.22 % against -10.71 % in Namibia, a difference of 0.49 %.
The two have swapped places 1 time across 5 shared years of data; in 2012 it was El Salvador ahead.
El Salvador ranks 52nd and Namibia ranks 54th of 68 countries.
El Salvador has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher gender gap in the share of self-employed people in [industry]: total, El Salvador or Namibia?
- El Salvador, at -10.22 % against -10.71 % in Namibia as of 2024.
- What is the difference in gender gap in the share of self-employed people in [industry]: total between El Salvador and Namibia?
- 0.49 %, with El Salvador ahead.
- How many years of comparable data are there for El Salvador and Namibia?
- 5 years are reported by both, from 2012 to 2018.
- How do El Salvador and Namibia rank globally for gender gap in the share of self-employed people in [industry]: total?
- El Salvador ranks 52nd and Namibia ranks 54th of 68 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Gender gap in the share of Self-employed people in [industry]: Total employment — Value — All age ranges or no breakdown by age — National. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.