American Wage Disparity by Education & Gender
Education & Learning Analytics
Tags and Keywords
Trusted By




"No reviews yet"
Free
About
This dataset details the differences in hourly wages between college and high school graduates in the United States, spanning from 1973 to 2022. It offers insight into how education levels impact earnings across various demographic groups over nearly five decades. The wage figures have been adjusted to 2022 dollars, providing a consistent basis for analysis.
Columns
- year: Represents the specific year for the wage data (integer type). Data ranges from 1973 to 2022.
- high_school: Shows the median hourly wage for individuals who are high school graduates, adjusted to 2022 dollars (float type).
- bachelors_degree: Shows the median hourly wage for individuals who are college graduates with a bachelor's degree, adjusted to 2022 dollars (float type).
- men_high_school: Shows the median hourly wage specifically for male high school graduates, adjusted to 2022 dollars (float type).
- men_bachelors_degree: Shows the median hourly wage specifically for male college graduates with a bachelor's degree, adjusted to 2022 dollars (float type).
- women_high_school: Shows the median hourly wage specifically for female high school graduates, adjusted to 2022 dollars (float type).
- women_bachelors_degree: Shows the median hourly wage specifically for female college graduates with a bachelor's degree, adjusted to 2022 dollars (float type).
Each column contains 50 valid records, with no missing or mismatched entries.
Distribution
The dataset is provided as a CSV file, named
college_wage_premium.csv
, and has a size of 2.12 kB. It comprises 7 columns and 50 records, covering data from 1973 to 2022.Usage
This dataset is ideal for:
- Analysing the overall trend in the wage disparity between college and high school graduates over time.
- Investigating whether wage disparities have narrowed or widened for different genders.
- Determining the specific year(s) when the wage gap was at its lowest and highest points.
- Identifying which demographic groups have experienced the largest increase in wages over time.
- Comparing the wage disparity between men and women within each educational group and understanding its evolution.
- Creating visualisations to compare wage trends for high school and college graduates across various time periods.
Coverage
The dataset focuses on the United States. It spans a time range from 1973 to 2022, providing historical wage data. The demographic scope includes individuals with high school education versus those with a bachelor's degree, further broken down by gender (men and women). Data is available for each year within the specified period.
License
CC0: Public Domain
Who Can Use It
This dataset is highly valuable for:
- Researchers and Academics: To conduct studies on labour economics, educational returns, and social inequality.
- Economists and Policy Analysts: To inform policy decisions related to education funding, workforce development, and gender equality.
- Students: For academic projects, dissertations, and learning about data analysis, trends, and visualisation in social sciences.
- Journalists: To report on socio-economic trends and disparities in the United States.
Dataset Name Suggestions
- USA Education Wage Gap (1973-2022)
- US College vs. High School Earnings
- American Wage Disparity by Education & Gender
- Historical US Wage Gap: Education Levels
Attributes
Original Data Source: American Wage Disparity by Education & Gender