• Issues
  • Equitable Work and Wages

    • Earnings and Income

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    Data represent individuals aged 16 and above who work full-time year-round (FTYR). Data source: American Community Survey, 2020-2024.
    Hover over a category to highlight it. Click on a category in the chart legend to eliminate it from view. Blank bars are not large enough to display values; hover over these bars to view values. If data for a race/ethnicity category is not shown, the underlying sample size is too small to compute an estimate.
    This chart depicts women’s median annual earnings as a percentage of what White men earn annually at the median for the same position. Data represent individuals aged 16 and above who work full-time year-round (FTYR). Data source: American Community Survey, 2020-2024.
    Hover over a category to highlight it. Click on a category in the chart legend to eliminate it from view. Blank bars are not large enough to display values; hover over these bars to view values. If data for a race/ethnicity category is not shown, the underlying sample size is too small to compute an estimate.
    Data represent individuals aged 16 and above who work full-time year-round (FTYR). Data source: American Community Survey, 2020-2024.
    Hover over a category to highlight it. Click on a category in the chart legend to eliminate it from view. Blank bars are not large enough to display values; hover over these bars to view values. If data for a race/ethnicity category is not shown, the underlying sample size is too small to compute an estimate.
    This chart depicts the median annual earnings of women in managerial jobs as a percentage of what White men earn annually at the median for the same position. Data represent individuals aged 16 and above who work full-time year-round (FTYR). Data source: American Community Survey, 2020-2024.
    Hover over a category to highlight it. Click on a category in the chart legend to eliminate it from view. Blank bars are not large enough to display values; hover over these bars to view values. If data for a race/ethnicity category is not shown, the underlying sample size is too small to compute an estimate.
    Data represent individuals aged 62 and above. Data source: American Community Survey, 2020-2024.
    Hover over a category to highlight it. Click on a category in the chart legend to eliminate it from view. Blank bars are not large enough to display values; hover over these bars to view values. If data for a race/ethnicity category is not shown, the underlying sample size is too small to compute an estimate.
    This chart depicts women's median annual retirement income as a percentage of White men's median annual retirement income. Data represent individuals aged 62 and above. Data source: American Community Survey, 2020-2024.
    Hover over a category to highlight it. Click on a category in the chart legend to eliminate it from view. Blank bars are not large enough to display values; hover over these bars to view values. If data for a race/ethnicity category is not shown, the underlying sample size is too small to compute an estimate.
    Data represent individuals aged 62 and above. Data source: American Community Survey, 2019-2023.
    Hover over a category to highlight it. Click on a category in the chart legend to eliminate it from view. Blank bars are not large enough to display values; hover over these bars to view values. If data for a race/ethnicity category is not shown, the underlying sample size is too small to compute an estimate.
    This chart depicts women’s median annual Social Security income as a percentage of White men’s median annual Social Security income. Data represent individuals aged 62 and above. Data source: American Community Survey, 2020-2024.
    Hover over a category to highlight it. Click on a category in the chart legend to eliminate it from view. Blank bars are not large enough to display values; hover over these bars to view values. If data for a race/ethnicity category is not shown, the underlying sample size is too small to compute an estimate.

    Policy

    Updated July 31, 2026
    Salary transparency laws that require employers to disclose the compensation range for job postings can help close the gender wage gap.
    Salary history bans that prohibit employers from inquiring about an applicant's prior compensation or using it to justify a pay discrepancy can contribute to closing the gender and racial wage gaps.
    State minimum wage laws set the wage floor for the hourly rate that employers can compensate workers, and because women are overrepresented in low-wage jobs, they are more likely to live in poverty.
    Workplace antidiscrimination laws prohibit disparate treatment of workers on the basis of sex or gender, gender identity, race, religion, family or marital status, pregnancy status, disability, or other protected class.

    State policy or data requests?

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