Gender, Labor & Growth
An interactive tool to visualize data from the Harmonized World Labor Force Surveys, including demographic, educational, and employment information at the individual level, from 110 countries across 20 years.
OVERVIEW
How do gender gaps in labor markets evolve with development? Do these patterns differ across regions? How do gender gaps vary across demographic groups?
This project draws on the Harmonized World Labor Force Surveys (HWLFS; work-in-data), an initiative that harmonizes labor market and time use microdata across countries. HWLFS draws from a combination of IPUMS, household surveys, and labour force surveys from national statistical offices, regional statistical hubs, and the World Bank. See the table of data sources for specific citations.
Users can also make use of the full version of this data portal where you can select a type of labor market activity and visualize shares by gender, country, region, alongside a wider range of sub-group aggregates, which can be downloaded as a csv file. (Please note that weight represents the sum of the sampling weight in the sub-population of interest.) We invite you to explore the demo presented below and the full dashboard.
DEMO
We present a demonstration of this data portal's capabilities below. In this example, we showcase how the shares of working-age women and men in five types of labor market activity vary by demographic factors, including age, education, marital status, rural/urban location, and the presence of young children in the household. To use this tool:
First, choose a demographic split: Choose how you would like to split the labor market outcome by age, education, marital status, rural/urban location, or whether these individuals live in a household with children under 5.
Second, choose a type of labor market activity (outcome): Select a labor market activity/status from the following options - work in agriculture, industry, or services; unemployed; or out of the labor force. Outcomes are expressed as shares of the working-age population aged 15-65 years.
Third, choose a measure of gender gaps: Compare the selected labor market activity measure for men and women, or view the gender gap in shares.
Fourth, set the x-axis: Visualize the outcome by countries' GDP per capita (PPP), GDP per capita (current USD), or by log versions of these.
Finally, set the country filter and year (optional): Use the country filter to include or exclude specific countries and regions. By default, the latest available year is selected, but you can choose a specific year, the earliest year, or all years.