Tips for Using Gender Inequality Data
Getting Started:
Choose one specific aspect of gender inequality to focus on (pay, education, politics, or time use)
Start with 5-10 countries to compare
Our World in Data and World Bank Gender Portal are the most user-friendly starting points
Think about what other data might help explain differences between countries
Understanding the Data:
Gender pay gap: Usually shown as percentage difference (e.g., women earn 83% of what men earn)
Gender parity index: Ratio of female to male (1.0 = equal, <1.0 = favors males, >1.0 = favors females)
Time use: Usually measured in minutes or hours per day
Representation: Often shown as percentage (e.g., 25% of parliament seats held by women)
Making Comparisons:
Compare countries at similar economic development levels
Look for patterns across regions or cultural groups
Consider whether to use absolute numbers or rates/percentages
Think about what factors might explain the differences you observe
Combining Datasets: Gender inequality research often requires combining multiple datasets. For example:
Pay gap data + education data + parental leave policies
Women in parliament + literacy rates + GDP per capita
Time use data + childcare availability + employment rates
For Your Analysis:
Choose countries with complete data for your time period
Be clear about what you're measuring (pay gap, education gap, time spent, etc.)
Use graphs to show comparisons clearly
Consider both the current situation and trends over time
Citation: Always cite your data sources:
Examples: "OECD (2024). Gender Wage Gap Database. https://www.oecd.org/en/data/indicators/gender-wage-gap.html(accessed October 5, 2025)"
"World Bank (2024). Gender Data Portal. https://genderdata.worldbank.org/ (accessed October 5, 2025)"
Useful Additional Data Sources
When studying gender inequality, you might want to combine gender data with:
Economic data: GDP, income levels, unemployment rates (World Bank, OECD)
Policy data: Parental leave, childcare subsidies (OECD Family Database)
Education data: Enrollment rates, fields of study (UNESCO)
Cultural indicators: Values surveys, social attitudes (World Values Survey)
Labor market data: Employment rates, job types (ILO, OECD)
Gender inequality is complex - it's okay to focus on just one aspect
Start by looking at the visualizations on Our World in Data or World Bank Gender Portal
Think about what hypotheses you can test with available data
Consider what other factors might explain the patterns you see
Ask your professor if you're unsure which datasets to combine