Diversity, Equity and Inclusion - Employment and Wages

This product contains datasets that present data on income, earnings, income inequality, and poverty in the United States and in the world. There are 3 datasets for the US: Women and Minorities Employed by Private industry, Women and Minorities employed by the State and Local Govt, Median annual earnings, number, and percentage of full-time year-round workers age 25 and over, by highest level of educational attainment and sex: Selected years, 1990 through 2019 and the Wage Gap Data. There are 2 international datasets showing the disparity in employment and wages from the International Labor Organization.

This listing contains the following five datasets that pertain to Employment and Wages in the United States and the world. More datasets may be added to this product in future.

This dataset conveys the number of women in management as a percentage of employment in management. This indicator is calculated based on data on employment by sex and occupation. For more information, refer to the concepts and definitions . Data covers years 1991-2020. Data for additional years will be added as it becomes available.

Source:

• International Labor Organization (ILO) | Employment Data 
• [Female Share of Employment in Managerial Positions (%) - Annual](https://www.ilo.org/shinyapps/bulkexplorer14/?lang=en &segment=indicator&id=SDG_0552_OCU_RT_A)
• Frequency: Annual
• Formats: CSV
• Code on GitHub 

This dataset is calculated as the difference between average earnings of men and average earnings of women expressed as a percentage of average earnings of men and is unadjusted. This indicator provides a measure of the relative difference between the earnings of men and those of women. Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. For more information, refer to the concepts and definitions . Data covers years 1981-2020. Data for additional years will be added as it becomes available.

Source:

• International Labor Organization (ILO) | Wage Data 
• [Gender Wage Gap by Occupation (%) - Annual](https://www.ilo.org/shinyapps/bulkexplorer39/?lang=en &segment=indicator&id=EAR_GGAP_OCU_RT_A)
• Frequency: Annual
• Formats: CSV
• Code on GitHub 

Median annual earnings, number, and percentage of full-time year-round workers age 25 and over, by highest level of educational attainment and sex (Table 502.20). Data covers years 1990 through 2019. Data for additional years will be added as it becomes available.

Source:

• National Center for Education Statistics (NCES) 
• Frequency: Annual
• Formats: CSV, XLS
• Code on GitHub 

This dataset includes Median Wage Comparison Data by Sex for each year since 2010. Currently data is available through year 2019. New data will be added as it becomes available for additional years. There are three files included for each year: A data file in CSV format, a metadata file in CSV format that includes description of data fields, and a title file in TXT format which includes a description of the dataset.

Source:

• [US Census American Community Survey](https://data.census.gov/cedsci/table?q=wages &tid=ACSST5Y2019.S2002&hidePreview=true)
• Frequency: Annual
• Formats: CSV, TXT
• Code on GitHub 

• If you find any issues with or have enhancement ideas for any of datasets of this product, open up a GitHub issue in the Github repository of the dataset (listed above) and we will gladly take a look at it. Better yet, submit a pull request. Any contributions you make are greatly appreciated :heart:.
• If you are looking for specific open datasets currently not available on ADX, please submit a request on our project board here .
• If you have any other questions or feedback, send us an email at data@rearc.io .

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