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Explore national- and state-level data for hundreds of health, environmental and socioeconomic measures, including background information about each measure. Use features on this page to find measures; view subpopulations, trends and rankings; and download and share content.
United States Value:
Percentage of women ages 18-44 who reported their health is very good or excellent
Percentage of women ages 18-44 who have served in the U.S. armed forces who reported their health is very good or excellent
70.6% - 60.7%
60.6% - 58.1%
58.0% - 54.4%
54.3% - 52.0%
51.9% - 38.9%
No Data
US Value: 49.4%
Top State(s): Vermont: 58.8%
Bottom State(s): Arkansas, West Virginia: 44.6%
Definition: Percentage of women ages 18-44 who reported their health is very good or excellent
Data Source and Years(s): U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Behavioral Risk Factor Surveillance System, 2023-2024
Suggested Citation: America's Health Rankings analysis of U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Behavioral Risk Factor Surveillance System, United Health Foundation, AmericasHealthRankings.org, accessed 2026.
Self-reported health status measures how individuals perceive their health. It is a subjective measure of health-related quality of life that is not limited to specific health conditions or outcomes, but also factors in social support, ability and ease of functioning, and other socioeconomic, environmental and cultural components. This measure is used by the United States Department of Health and Human Services to evaluate progress toward achieving Healthy People 2030 objectives.
Research shows that those with “poor” self-reported health status have a mortality risk double that of those with ”excellent” self-reported health status. The association between health status and mortality makes this measure a good predictor of future mortality rates.
According to America’s Health Rankings analysis, the prevalence of women ages 18-44 who report “very good” or “excellent” health is higher among:
Increased investments in women’s health research may help advance understanding of the biological, behavioral and social factors that influence health outcomes. Historically, women have been overlooked in research studies and clinical trials, which has hindered the identification of sex differences and slowed progress for women’s health research and clinical practice. In addition to enhancing quality of life, improving women’s health outcomes can reduce health care expenditures and decrease dependence on caregivers.
More years of schooling are associated with better self-reported health status. The connection between education and health is well-documented — higher educational attainment is associated with higher earnings and fewer chronic conditions. Access to economic resources, as well as jobs with healthier working conditions and benefits, is also associated with better health status.
The Community Preventive Services Task Force recommends implementing high-quality, center-based early childhood education programs to improve health. These programs promote health equity and narrow the educational achievement gap, especially for children in low-income or racial and ethnic minority communities.
Chronic diseases such as cancer, diabetes and heart disease are leading causes of death in the U.S., affecting 3 in 4 American adults. Many chronic diseases can be prevented by eating well, staying physically active, avoiding tobacco use and excessive drinking, and getting regular health screenings. The Office of Disease Prevention and Health Promotion has a web page on strategies for healthy living that covers safety, nutrition, physical activity, mental health and sexual health.
Mental health is essential to overall wellness. Research has found a strong connection between social support and health outcomes. Poor social support is associated with alcohol use, depression and cardiovascular disease, while strong social support helps individuals cope with stress and stay motivated to achieve their goals. Therefore, policies and interventions aimed at promoting social ties and reducing social isolation could advance population health. The Centers for Disease Control and Prevention offers various community-based approaches to enhance social connections.
Health status is an overall measure of health and well-being used by the U.S. Department of Health and Human Services to summarize and gauge progress toward achieving the Healthy People 2030 objectives.
Borgonovi, Francesca, and Artur Pokropek. “Education and Self-Reported Health: Evidence from 23 Countries on the Role of Years of Schooling, Cognitive Skills and Social Capital.” Edited by Joshua L. Rosenbloom. PLoS ONE 11, no. 2 (February 22, 2016): e0149716. https://doi.org/10.1371/journal.pone.0149716.
Cho, Hyunsoon, Zhuoqiao Wang, K. Robin Yabroff, Benmei Liu, Timothy McNeel, Eric J. Feuer, and Angela B. Mariotto. “Estimating Life Expectancy Adjusted by Self-Rated Health Status in the United States: National Health Interview Survey Linked to the Mortality.” BMC Public Health 22, no. 1 (December 2022): 141. https://doi.org/10.1186/s12889-021-12332-0.
Cialani, Catia, and Reza Mortazavi. “The Effect of Objective Income and Perceived Economic Resources on Self-Rated Health.” International Journal for Equity in Health 19, no. 1 (December 2020): 196. https://doi.org/10.1186/s12939-020-01304-2.
DeSalvo, Karen B., Nicole Bloser, Kristi Reynolds, Jiang He, and Paul Muntner. “Mortality Prediction With a Single General Self-Rated Health Question.” Journal of General Internal Medicine 21, no. 3 (March 1, 2006): 267. https://doi.org/10.1111/j.1525-1497.2005.00291.x.
Innovation Equity Forum. Women’s Health Innovation Opportunity Map 2023: 50 High-Return Opportunities to Advance Global Women’s Health R&D. Bill & Melinda Gates Foundation and National Institutes of Health, October 2023. https://cambercollective.com/wp-content/uploads/2025/01/Womens-Health-RD-Opportunity-Map-2023.pdf.
Institute of Medicine, ed. Women’s Health Research: Progress, Pitfalls, and Promise. Washington, D.C.: National Academies Press, 2010. https://www.ncbi.nlm.nih.gov/books/NBK210136/.
Johnson-Lawrence, Vicki, Anna Zajacova, and Rodlescia Sneed. “Education, Race/Ethnicity, and Multimorbidity Among Adults Aged 30–64 in the National Health Interview Survey.” SSM - Population Health 3 (December 1, 2017): 366–72. https://doi.org/10.1016/j.ssmph.2017.03.007.
Kaplan, Robert M., and Ron D. Hays. “Health-Related Quality of Life Measurement in Public Health.” Annual Review of Public Health 43, no. 1 (April 5, 2022): 355–73. https://doi.org/10.1146/annurev-publhealth-052120-012811.
Ramon, Ismaila, Sajal K. Chattopadhyay, W. Steven Barnett, and Robert A. Hahn. “Early Childhood Education to Promote Health Equity: A Community Guide Economic Review.” Journal of Public Health Management and Practice 24, no. 1 (2018): e8–15. https://doi.org/10.1097/PHH.0000000000000557.
Umberson, Debra, and Jennifer Karas Montez. “Social Relationships and Health: A Flashpoint for Health Policy.” Journal of Health and Social Behavior 51, no. S1 (March 2010): S54–66. https://doi.org/10.1177/0022146510383501.
Zajacova, Anna, and Elizabeth M. Lawrence. “The Relationship Between Education and Health: Reducing Disparities Through a Contextual Approach.” Annual Review of Public Health 39 (April 1, 2018): 273–89. https://doi.org/10.1146/annurev-publhealth-031816-044628.
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