Labor force, female (% of total labor force)
Definition: Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period.
Description: The map below shows how Labor force, female (% of total labor force) varies by country. The shade of the country corresponds to the magnitude of the indicator. The darker the shade, the higher the value. The country with the highest value in the world is Nepal, with a value of 55.03. The country with the lowest value in the world is Yemen, with a value of 8.15.
Source: Derived using data from International Labour Organization, ILOSTAT database and World Bank population estimates. Labor data retrieved in September 2019.
See also: Country ranking, Time series comparison
More maps: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |
Statistical Concept and Methodology: The labor force is the supply of labor available for producing goods and services in an economy. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave. Data are generated with World Bank population estimates and ILO estimates on labor force participation rate. The ILO estimates are harmonized to ensure comparability across countries and over time by accounting for differences in data source, scope of coverage, methodology, and other country-specific factors. The estimates are based mainly on nationally representative labor force surveys, with other sources (population censuses and nationally reported estimates) used only when no survey data are available.
Aggregation method: Weighted average
General Comments: Data up to 2016 are estimates while data from 2017 are projections.