Gender Pay Gap*
In the model
Use County Health Rankings’ model of health to explore the measures that influence how long and how well we live.
Ratio of women's median earnings to men's median earnings for all full-time, year-round workers, presented as "cents on the dollar." The 2022 County Health Rankings used data from 2016-2020 for this measure.
A gender pay gap persists across industries in the United States, with women earning an estimated 80 cents for every dollar a man earns. The pay gap remains even though women make up the majority of college-educated adults in the U.S. and decades after the Equal Pay Act of 1963 made it illegal to pay men and women different salaries for similar work. Unequal pay by gender can harm women’s health and wellbeing. Women who earn a lower income for the same work are more likely to suffer from mood disorders including depression and anxiety. Larger gaps in pay and gender inequities are also associated with worse mortality outcomes, poorer self-rated health, and increased disability.[4-6] Eliminating the gender pay gap, on the other hand, could significantly reduce poverty, especially among single, female-headed households. About 17% of children live in poverty across the country, and as a result, these children may experience lasting educational, financial, and health effects into adulthood.
Data and methods
American Community Survey, 5-year estimates
The American Community Survey (ACS) is a nationwide survey designed to provide communities with a fresh look at how they are changing. It is a critical element in the Census Bureau's reengineered decennial census program. The ACS collects and produces population and housing information every year instead of every ten years, and publishes both one-year and five-year estimates. The County Health Rankings use American Community Survey data to obtain measures of social and economic factors.
Website to download data
For more detailed methodological information
Key Measure Methods
Gender Pay Gap is a ratio
Gender Pay Gap is expressed as "cents on the dollar," or women's median earnings in cents compared to every dollar (100 cents) of men's median earnings.
Women's median earnings are the level of earnings where half of full-time, year-round, female workers are earning more than this value, and half are earning less. Men's median earnings follow the same definition for male workers.
Pay inequities are even more stark for most women of color. The pay gap is the largest for Hispanic women who earn just over half what white men in the U.S. are paid. This measure is not disaggregated by race, which could help quantify the effects of a combined gender and race pay gap affecting opportunity and outcomes for women of color.
The American Community Survey captures a binary representation of gender. People living intersectional identities (e.g., transgender women) experience compounding power differentials, which are not captured in these data. The Gender Pay Gap measure is a representation of median annual earnings; studies using median hourly or weekly earnings show an even larger gender pay gap.
The numerator is women's median annual earnings for full-time, year-round workers ages 16 and older with earnings in a county.
The denominator is men's median annual earnings for full-time, year-round workers ages 16 and older with earnings in a county.
Can This Measure Be Used to Track Progress
This measure can be used to track progress with some caveats. It is important to note that the estimate provided in the County Health Rankings is a 5-year average which may make year-to-year changes harder to observe. However, for counties with a population greater than 20,000 individuals, single-year estimates can be obtained from the resource listed in Digging Deeper
Finding More Data
Disaggregation means breaking data down into smaller, meaningful subgroups. Disaggregated data are often broken down by characteristics of people or where they live. Disaggregated data can reveal inequalities that are otherwise hidden. These data can be disaggregated by:
- Subcounty Area
You can find this data stratified by income, education, and gender in table S2001, and you can calculate the gender pay gap by race using tables B20017A-G. These tables can be accessed at https://data.census.gov/. For many communities, you can access these same tables at the census tract or census block level.
 Gould E, Schieder J, Geier K. What is the gender pay gap and is it real? Economic Policy Institute. 2016; 1-42. epi.org/112962.
 Fry R. U.S. women near milestone in the college-educated labor force. 2019; https://pewrsr.ch/2ZEVQB3.
 Platt J, Prins S, Bates L, Keyes K. Unequal depression for equal work? How the wage gap explains gendered disparities in mood disorders. 2016; 149:1-8.
 Kawachi I, Kennedy BP, Gupta V, Prothrow-Stith D. Women's status and the health of women and men: a view from the States. Social science & medicine. 1999 Jan 1;48(1):21-32.
 Milner A, Kavanagh A, Scovelle AJ, O'Neil A, Kalb G, Hewitt B, King TL. Gender Equality and Health in High-Income Countries: A Systematic Review of Within-Country Indicators of Gender Equality in Relation to Health Outcomes. Women's Health Reports. 2021 Apr 1;2(1):113-23.
 Jun HJ, Subramanian SV, Gortmaker S, Kawachi I. A multilevel analysis of women's status and self-rated health in the United States. Journal of the American Medical Women's Association (1972). 2004 Jan 1;59(3):172-80.
Kramer KZ, Myhra LL, Zuiker VS, et al. Comparison of Poverty and Income Disparity of Single Mothers and Fathers Across Three Decades: 1990–2010. Gend. Issues 33, 22–41 (2016). https://doi.org/10.1007/s12147-015-9144-3
 Payscale. The state of the gender pay gap in 2021. 2021: https://www.payscale.com/research-and-insights/gender-pay-gap/#section14
 Lips H. The Gender pay gap: Challenging the rationalizations. Perceived equity, discrimination, and the limits of human capital models. Sex Roles. 2013; 68:169-185.