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    Diversity, Equity and Inclusion - Employment and Wages

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    Sold by: Rearc 
    Deployed on AWS
    This product contains five datasets that present data on income, earnings, income inequality, and poverty in the United States and in the world.

    Overview

    Diversity, Equity and Inclusion - Employment and Wages

    Main Overview

    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.

    Data Sources

    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.

    DEI-Female-Share-Managerial-Positions-ILO

    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:

    DEI-Gender-Wage-Gap-ILO

    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:

    DEI-Median-Annual-Earnings-by-Education-Sex-NCES

    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:

    DEI-Median-Earnings-by-Sex-US-Census

    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:

    Contact Details

    • 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 .

    About Rearc

    Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.

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    Diversity, Equity and Inclusion - Employment and Wages

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
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    Dimensions summary

    This product uses a single free pricing dimension called Product Access (Units). It grants you access to the dataset as a subscriber. There are no tiers, usage charges, or add-on options to compare. You subscribe once to unlock access, and the product carries no cost. The dataset comes from publicly available sources and is published for consistent consumption through AWS Data Exchange.

    Top-of-mind questions for buyers

    One unit of Product Access gives you subscriber access to the dataset. It is not tied to a per-user, per-server, or per-record count. A single subscription unlocks the full dataset for consumption through AWS Data Exchange at no cost.
    No. This product uses a single free dimension with no usage metering, no tiers, and no per-user charges. Consuming more data or adding users does not trigger extra software fees. Your access carries no cost regardless of how much you use.
    The dataset comes from publicly available sources, published for consistent consumption through AWS Data Exchange. The source does not affect your cost. The single Product Access dimension remains free regardless of the underlying data origin.
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    Usage information

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    Delivery details

    AWS Data Exchange (ADX)

    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

    Additional details

    Data sets (5)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    DEI-Median-Annual-Earnings-by-Education-Sex-NCES
    All historical revisions
    All future revisions
    Not included
    Not included
    DEI-Jobs-Women-Minorities-Private-Sector-EEOC
    All historical revisions
    All future revisions
    Not included
    Not included
    DEI-Female-Share-Managerial-Positions-ILO
    All historical revisions
    All future revisions
    Not included
    Not included
    DEI-Gender-Wage-Gap-ILO
    All historical revisions
    All future revisions
    Not included
    Not included
    DEI-Median-Earnings-by-Sex-US-Census
    All historical revisions
    All future revisions
    Not included
    Not included

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