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Racial Wage Disparity in the US
Data Science and Analytics
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About
This dataset offers a detailed exploration of the black-white wage gap in the United States, covering the period from 1973 to 2022. It provides crucial insights into the disparities in hourly wages between black and white workers, including breakdowns by different genders and subgroups. The data is meticulously derived from the Economic Policy Institute’s State of Working America Data Library, a highly regarded source for socio-economic research and analysis. This resource is invaluable for understanding historical trends and current challenges in wage equality.
Columns
- year: Represents the year of data collection. (Type: Integer)
- white_median: The median hourly wage for white workers. (Type: Float)
- white_average: The average hourly wage for white workers. (Type: Float)
- black_median: The median hourly wage for black workers. (Type: Float)
- black_average: The average hourly wage for black workers. (Type: Float)
- white_men_median: The median hourly wage specifically for white male workers. (Type: Float)
- white_men_average: The average hourly wage specifically for white male workers. (Type: Float)
- black_men_median: The median hourly wage specifically for black male workers. (Type: Float)
- black_men_average: The average hourly wage specifically for black male workers. (Type: Float)
- white_women_median: The median hourly wage specifically for white female workers. (Type: Float)
- white_women_average: The average hourly wage specifically for white female workers. (Type: Float)
- black_women_median: The median hourly wage specifically for black female workers. (Type: Float)
- black_women_average: The average hourly wage specifically for black female workers. (Type: Float)
Distribution
The dataset is provided in a CSV format (
black_white_wage_gap.csv) and is approximately 3.97 kB in size. It comprises 13 columns and 50 records (rows) covering each year from 1973 to 2022.Usage
This dataset can be utilised for a variety of impactful applications:
- Analysing income differences: Examine average earnings to identify racial income disparities.
- Gender-based wage analysis: Investigate wage variations among men and women within the same racial groups.
- Regression analysis: Conduct in-depth regression-based wage gap studies, accounting for factors such as gender, race, education, age, and geographical location.
- Trend observation: Monitor changes and trends in the black-white wage gap in the USA over time.
- Statistical factor identification: Employ statistics to pinpoint variables contributing to the wage gap.
- Data visualisation: Create impactful line charts, bar graphs, or heatmaps to illustrate wage gap trends and enhance understanding of disparities.
- Policy recommendation: Compare different demographic groups to identify areas facing multiple challenges, informing potential policy changes.
- Predictive modelling: Develop models to forecast future wage gap scenarios and evaluate the potential impact of policy interventions.
Coverage
The dataset's scope is geographic to the USA (United States) and covers a time range from 1973 to 2022. It includes demographic breakdowns for black and white individuals, encompassing various gender subgroups. Data is available for all specified years, with 50 valid records for each column.
License
CC0: Public Domain
Who Can Use It
- Researchers and Academics: To conduct socio-economic research, analyse income disparities, and study wage gap trends.
- Policy Makers: To inform policy changes, compare groups facing challenges, and predict future wage scenarios.
- Data Analysts and Scientists: For building models, creating visualisations, and applying statistical methods to understand wage gaps.
- Advocacy Groups and Non-profits: To highlight disparities, track progress, and advocate for wage equality.
- Journalists and Educators: To inform the public and educate students about economic inequality and racial disparities in wages.
Dataset Name Suggestions
- USA Black-White Wage Gap (1973-2022)
- Racial Wage Disparity in the US
- United States Hourly Wage Gap by Race and Gender
- Black and White Earnings Disparities: US Data
Attributes
Original Data Source: Racial Wage Disparity in the US
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