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.
North Dakota Value:
Percentage of children ages 0-17 whose health is very good or excellent (2-year estimate)
North Dakota Rank:
Additional Measures:
Explore Population Data:
Appears In:
Percentage of children ages 0-17 whose health is very good or excellent (2-year estimate)
>= 92.2%
91.6% - 92.1%
90.1% - 91.5%
88.8% - 90.0%
<= 88.7%
US Value: 90.0%
Top State(s): Idaho, Utah: 94.1%
Bottom State(s): Mississippi: 85.8%
Definition: Percentage of children ages 0-17 whose health is very good or excellent (2-year estimate)
Data Source and Years(s): National Survey of Children's Health, U.S. Department of Health and Human Services, Health Resources and Services Administration (HRSA), Maternal and Child Health Bureau (MCHB), 2022-2023
Suggested Citation: America's Health Rankings analysis of National Survey of Children's Health, U.S. Department of Health and Human Services, Health Resources and Services Administration (HRSA), Maternal and Child Health Bureau (MCHB), United Health Foundation, AmericasHealthRankings.org, accessed 2024.
Self-reported health status is a measure of how individuals perceive their own health. Health status is a subjective measure of health-related quality of life that is not limited to specific health conditions or outcomes, but factors in social support, ability and ease of functioning, and other socioeconomic, environmental and cultural components.
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 and future use of health care.
Chronic illnesses such as ADHD, anxiety, cancer and kidney disease are often associated with lower quality of life and lower self-reported health status in children. More years of schooling are associated with better self-reported health status, which may be related to the fact that those with higher education are more likely to have fewer chronic conditions.
According to data from the National Survey of Children’s Health, the prevalence of children described as being in “very good” or “excellent” health is higher among:
A study of high school dropouts found that the link between lower education and negative health outcomes was even more pronounced for children who grew up in low-income households. Research has found that a good self-perception of one’s financial security and economic situation is further associated with better health status.
The Community Preventive Services Task Force recommends implementing high-quality center-based early childhood education programs in order to improve health. These programs promote health equity and narrow the educational achievement gap, especially for children in low-income or racial/ethnic minority communities.
Additional strategies that promote children’s health include:
The Title V Maternal and Child Health Services Block Grant Program has several goals for children’s health, including:
Adams, Dawn, Megan Clark, and Deb Keen. “Using Self-Report to Explore the Relationship between Anxiety and Quality of Life in Children on the Autism Spectrum.” Autism Research 12, no. 10 (2019): 1505–15. https://doi.org/10.1002/aur.2155.
Benyamini, Yael. “Why Does Self-Rated Health Predict Mortality? An Update on Current Knowledge and a Research Agenda for Psychologists.” Psychology & Health 26, no. 11 (November 2011): 1407–13. https://doi.org/10.1080/08870446.2011.621703.
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.
Canetta, Pietro A., Jonathan P. Troost, Shannon Mahoney, Amy J. Kogon, Noelle Carlozzi, Sharon M. Bartosh, Yi Cai, et al. “Health-Related Quality of Life in Glomerular Disease.” Kidney International 95, no. 5 (May 1, 2019): 1209–24. https://doi.org/10.1016/j.kint.2018.12.018.
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.
Lansford, Jennifer E., Kenneth A. Dodge, Gregory S. Pettit, and John E. Bates. “A Public Health Perspective on School Dropout and Adult Outcomes: A Prospective Study of Risk and Protective Factors From Age 5 to 27 Years.” Journal of Adolescent Health 58, no. 6 (March 19, 2016): 652–58. https://doi.org/10.1016/j.jadohealth.2016.01.014.
Lee, Yi-chen, Hao-Jan Yang, Vincent Chin-hung Chen, Wan-Ting Lee, Ming-Jen Teng, Chung-Hui Lin, and Michael Gossop. “Meta-Analysis of Quality of Life in Children and Adolescents with ADHD: By Both Parent Proxy-Report and Child Self-Report Using PedsQLTM.” Research in Developmental Disabilities 51–52 (April 1, 2016): 160–72. https://doi.org/10.1016/j.ridd.2015.11.009.
Lorem, Geir, Sarah Cook, David A. Leon, Nina Emaus, and Henrik Schirmer. “Self-Reported Health as a Predictor of Mortality: A Cohort Study of Its Relation to Other Health Measurements and Observation Time.” Scientific Reports 10 (December 2020): 4886. https://doi.org/10.1038/s41598-020-61603-0.
Lundborg, Petter. “The Health Returns to Schooling—What Can We Learn from Twins?” Journal of Population Economics 26, no. 2 (2013): 673–701. https://doi.org/10.1007/s00148-012-0429-5.
Pinheiro, Laura C., Molly McFatrich, Nicole Lucas, Jennifer S. Walker, Janice S. Withycombe, Pamela S. Hinds, Lillian Sung, et al. “Child and Adolescent Self-Report Symptom Measurement in Pediatric Oncology Research: A Systematic Literature Review.” Quality of Life Research 27, no. 2 (February 1, 2018): 291–319. https://doi.org/10.1007/s11136-017-1692-4.
Quesnel–Vallée, Amélie. “Self-Rated Health: Caught in the Crossfire of the Quest for ‘True’ Health?” International Journal of Epidemiology 36, no. 6 (December 1, 2007): 1161–64. https://doi.org/10.1093/ije/dym236.
Ramon, Ismaila, Sajal K. Chattopadhyay, W. Steven Barnett, Robert A. Hahn, and The Community Preventive Services Task Force. “Early Childhood Education to Promote Health Equity: A Community Guide Economic Review.” Journal of Public Health Management and Practice 24, no. 1 (2018). https://doi.org/10.1097/PHH.0000000000000557.
America’s Health Rankings builds on the work of the United Health Foundation to draw attention to public health and better understand the health of various populations. Our platform provides relevant information that policymakers, public health officials, advocates and leaders can use to effect change in their communities.
We have developed detailed analyses on the health of key populations in the country, including women and children, seniors and those who have served in the U.S. Armed Forces, in addition to a deep dive into health disparities across the country.