Botswana vs Rwanda: Share of informal employment by industry and sex: Non-agricultural
Share of informal employment by industry and sex: Non-agricultural over time
- Botswana
- Rwanda
How they compare
Rwanda currently reports 80.95 % against 80.4 % in Botswana, a difference of 0.55 %.
The two have swapped places 1 time across 5 shared years of data; in 2020 it was Botswana ahead.
Botswana ranks 16th and Rwanda ranks 15th of 39 countries.
Botswana has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher share of informal employment by industry and sex: non-agricultural, Botswana or Rwanda?
- Rwanda, at 80.95 % against 80.4 % in Botswana as of 2024.
- What is the difference in share of informal employment by industry and sex: non-agricultural between Botswana and Rwanda?
- 0.55 %, with Rwanda ahead.
- How many years of comparable data are there for Botswana and Rwanda?
- 5 years are reported by both, from 2020 to 2024.
- How do Botswana and Rwanda rank globally for share of informal employment by industry and sex: non-agricultural?
- Botswana ranks 16th and Rwanda ranks 15th of 39 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Share of informal employment by industry and sex: Non-agricultural agrifood systems — Value — Female — All age ranges or no breakdown by age — National — Non-agricultural agrifood systems. 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.