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US Gender and Race Wage Data
Data Science and Analytics
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About
This dataset provides a detailed insight into wage disparities between men and women in the United States, spanning from 1973 to 2022. It integrates data from the Economic Policy Institute’s State of Working America Data Library, serving as a valuable resource for understanding gender and race wage gap trends over time. The dataset is regularly updated, making it a current and relevant source for labour market analysis and social studies.
Columns
The dataset includes the following columns, detailing various wage metrics:
- year: The specific year the wage data was recorded (integer).
- men_median: The median hourly wages for men (float).
- men_average: The average hourly wages for men (float).
- women_median: The median hourly wages for women (float).
- women_average: The average hourly wages for women (float).
- white_men_median: The median hourly wages for white men (float).
- white_men_average: The average hourly wages for white men (float).
- black_men_median: The median hourly wages for black men (float).
- black_men_average: The average hourly wages for black men (float).
- hispanic_men_median: The median hourly wages for Hispanic men (float).
- hispanic_men_average: The average hourly wages for Hispanic men (float).
- white_women_median: The median hourly wages for white women (float).
- white_women_average: The average hourly wages for white women (float).
- black_women_median: The median hourly wages for black women (float).
- black_women_average: The average hourly wages for black women (float).
- hispanic_women_median: The median hourly wages for Hispanic women (float).
- hispanic_women_average: The average hourly wages for Hispanic women (float).
Distribution
The dataset is provided in a CSV format (
gender_wage_gap.csv) and has a size of 5.25 kB. It contains 17 columns and includes 50 valid records for each column, representing data points from 1973 to 2022.Usage
This dataset is ideal for a variety of analytical and research purposes, including:
- Analysing how the gender wage gap has evolved through the years and identifying key trends.
- Comparing earnings across different racial and ethnic groups to gain insights into disparities.
- Assessing the effectiveness of policies implemented to reduce the gender wage gap.
- Creating compelling data visualisations to communicate wage disparity information.
- Investigating the impact of economic events or recessions on the gender wage gap.
- Examining wage differences in specific industries or jobs.
- Developing predictive models to forecast future wage gap scenarios.
Coverage
The dataset covers wage data for the United States (USA). It spans a time range from 1973 to 2022. The demographic scope includes data for men and women, further broken down by race for white, black, and Hispanic individuals, providing both median and average hourly wage figures.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for:
- Social scientists and researchers studying labour economics, gender studies, and social inequality.
- Data analysts looking to perform time-series analysis, statistical comparisons, and predictive modelling.
- Advocacy groups and policymakers working on social issues, aiming to understand and address wage disparities.
- Economists interested in employment trends and the economic factors influencing wage gaps.
Dataset Name Suggestions
- America's Wage Gap: Gender and Race Disparities (1973-2022)
- US Gender and Race Wage Data
- Historical Wage Disparities in the USA
- Economic Policy Institute Wage Gap Dataset
Attributes
Original Data Source: US Gender and Race Wage Data
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