County Health Rankings Model

Uninsured Children*

In the model

Use County Health Rankings’ model of health to explore the measures that influence how long and how well we live.

Loading interactive model…

About

Percentage of children under age 19 without health insurance. The 2022 County Health Rankings used data from 2019 for this measure.

Lack of health insurance coverage is a significant barrier to accessing needed health care and to maintaining financial security.

The Kaiser Family Foundation released a report in January 2019 that outlines the effects insurance has on access to health care and financial independence. One key finding was that, “Going without coverage can have serious health consequences for the uninsured because they receive less preventative care, and delayed care often results in serious illness or other health problems. Being uninsured can also have serious financial consequences, with many unable to pay their medical bills, resulting in medical debt.”[1] Uninsured children are less likely to receive preventive care such as vaccinations and well child visits on time.[2,3]

Find strategies to address Uninsured Children*

Data and methods

Data Source

Small Area Health Insurance Estimates

The US Census Bureau's Small Area Health Insurance Estimates (SAHIE) program produces estimates of health insurance coverage for all states and counties. In July 2005, SAHIE released the first nationwide set of county-level estimates on the number of people without health insurance coverage for all ages and those under 18 years old. SAHIE releases estimates of health insurance coverage by age, sex, race, Hispanic origin, and income categories at the state level and by age, sex, and income categories at the county level.

Website to download data
For more detailed methodological information

Key Measure Methods

Uninsured Children is a percentage

Uninsured Children is the percentage of the population under age 19 that has no health insurance coverage in a given county.

Uninsured Children is created using statistical modeling

Uninsured Children is created using complex statistical modeling. Modeling generates more stable estimates for places with small numbers of residents or survey responses. There are also drawbacks to using modeled data. The smaller the population or sample size of a county, the more the estimates are derived from the model itself and the less they are based on survey responses. Models make statistical assumptions about relationships that may not hold in all cases. Finally, there is no perfect model and each model generally has limitations specific to their methods.

Numerator

The numerator is the number of people under age 19 who currently have no health insurance coverage. A person is uninsured if they are not currently covered by insurance through a current/former employer or union, purchased from an insurance company, Medicare, Medicaid, Medical Assistance, any kind of government-assistance plan for those with low incomes or disability, TRICARE or other military health care, Indian Health Services, VA, or any other health insurance or health coverage plan.

Denominator

The denominator is the county population under age 19.

Can This Measure Be Used to Track Progress

This measure can be used to track progress with come caveats. Modeled estimates have specific drawbacks with regard to their usefulness in tracking progress in communities. Modeled data are not particularly good at incorporating the effects of local conditions, such as health promotion policies or unique population characteristics, into their estimates. Counties trying to measure the effects of programs and policies on the data should use great caution when using modeled estimates. In order to better understand and validate modeled estimates, confirming this data with additional sources of data at the local level is particularly valuable.

Digging Deeper

Age1
Gender1
Race1
Education0
Income1
Subcounty Area1

On the Small Area Health Insurance Estimates (SAHIE) website, you can stratify by age, gender, and poverty ratios. In addition, the Community Health Needs Assessment Report has a variety of data available, including health insurance by gender, age group, race/ethnicity at the county-level as well as a census-tract level map. These data are available by clicking “view tool,” selecting a location, selecting your indicators (insurance is under Social & Economic Factors), and clicking on reports.

References

[1] Kaiser Family Foundation. The Uninsured: A Primer - Key Facts about Health Insurance and the Uninsured Under the Affordable Care Act. December, 2017.
[2] Hill HA, Elam-Evans LD, Yankey D, Singleton JA, and Kang Y. Vaccination Coverage Among Children Aged 19–35 Months — United States, 2017. Morbidity and Mortality Weekly Reports. 2018 October 12; 67(40): 1123-1128. 
[3] Murphy D. Health Insurance Coverage Improves Child Well-Being. https://www.childtrends.org/publications/health-insurance-coverage-improves-child-well Accessed: November 27, 2019.

Find strategies in What Works for Health