Insurance - Uninsured Population

The lack of health insurance is considered a key driver of health status.

This indicator reports the percentage of the total civilian non-institutionalized population without health insurance coverage. This indicator is relevant because lack of insurance is a primary barrier to healthcare access including regular primary care, specialty care, and other health services that contributes to poor health status.
Report Area Total Population
(For Whom Insurance Status is Determined)
Total Uninsured Population Percent Uninsured Population
Franklin County, PA 150,972 18,662 12.36%
Pennsylvania 12,575,088 1,106,674 8.80%
United States 311,516,332 40,446,231 12.98%
Note: This Indicator is compared with the state average. Green - Better than state average, Red - Worse than state average.
Data Source: US Census Bureau, American Community Survey. 2011-15. Source geography: Tract

Uninsured Population by Gender
Report Area Total Male Total Female Percent Male Percent Female
Franklin County, PA 10,065 8,597 13.61% 11.16%
Pennsylvania 612,845 493,829 10.03% 7.64%
United States 21,731,700 18,714,531 14.29% 11.74%
Uninsured Population by Age Group, Percent
Report Area Under Age 18 Age 18 - 64 Age 65 +
Franklin County, PA 11.01% 16.22% 1.14%
Pennsylvania 5.00% 12.23% 0.53%
United States 6.47% 18.12% 0.96%
Uninsured Population by Age Group, Total
Report Area Under Age 18 Age 18 - 64 Age 65 +
Franklin County, PA 3,863 14,498 301
Pennsylvania 135,836 960,313 10,525
United States 4,756,380 35,276,066 413,785
Uninsured Population by Ethnicity Alone
Report Area Total Hispanic / Latino Total Not Hispanic / Latino Percent Hispanic / Latino Percent Not Hispanic or Latino
Franklin County, PA 2,660 16,002 36.45% 11.14%
Pennsylvania 150,360 956,314 18.88% 8.12%
United States 13,784,869 26,661,362 25.76% 10.33%
Uninsured Population by Race Alone, Percent
Report Area Non-Hispanic White Black or African American Native American / Alaska Native Asian Native Hawaiian / Pacific Islander Some Other Race Multiple Race
Franklin County, PA 10.83% 17.51% 22.95% 16.63% 0% 56.42% 5.37%
Pennsylvania 7.28% 12.84% 18.37% 13.07% 8.86% 21.73% 9.78%
United States 9.01% 15.25% 25.04% 12.51% 15.38% 28.85% 11.87%
Uninsured Population by Race Alone, Total
Report Area Non-Hispanic White Black or African American Native American / Alaska Native Asian Native Hawaiian / Pacific Islander Some Other Race Multiple Race
Franklin County, PA 14,608 967 84 260 0 602 97
Pennsylvania 718,006 172,439 4,161 51,139 375 53,688 26,111
United States 17,527,458 5,893,638 627,102 2,020,682 82,052 4,232,966 1,102,953
Website Updated December 11 2017 Site Reviewed January 05 2018

Insurance - Uninsured Population

Data Background

The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds.

Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008).

For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website.


Counts of the population by health insurance status and and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2010-2014. Data are aggregate summaries based on 2010 Census Tract boundaries. Health insurance coverage status is classified in the ACS according to yes/no responses to questions (16a - 16h) representing eight categories of health insurance, including: Employer-based, Directly-purchased, Medicare, Medicaid/Medical Assistance, TRICARE, VA health care, Indian Health Service, and Other. An eligibility edit was applied to give Medicaid, Medicare, and TRICARE coverage to individuals based on program eligibility rules. People were considered insured if they reported at least one "yes" to Questions 16a - 16f. Indicator statistics are measured as a percentage of the universe population using the following formula:

Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2015 Subject Definitions.


Race and Ethnicity
Race and ethnicity (Hispanic origin) are collected as two separate categories in the American Community Survey (ACS) based on methods established by the U.S. Office of Management and Budget (OMB) in 1997. Indicator race and ethnicity statistics are generated from self-identified survey responses. Using the OMB standard, the available race categories in the ACS are: White, Black, American Indian/Alaskan Native, Asian, and Other. An ACS survey respondent may identify as one race alone, or may choose multiple races. Respondents selecting multiple categories are racially identified as “Two or More Races”. The minimum ethnicity categories are: Hispanic or Latino, and Not Hispanic or Latino. Respondents may only choose one ethnicity. All social and economic data are reported in the ACS public use files by race alone, ethnicity alone, and for the white non-Hispanic population.

Data Limitations
The population ‘universe’ for most health insurance coverage estimates is the civilian noninstitutionalized population, which excludes active-duty military personnel and the population living in correctional facilities and nursing homes. Some noninstitutionalized group quarters (GQ) populations have health insurance coverage distributions that are different from the household population (e.g., the prevalence of private health insurance among residents of college dormitories is higher than the household population). The proportion of the universe that is in the noninstitutionalized GQ populations could therefore have a noticeable impact on estimates of the health insurance coverage. Institutionalized GQ populations may also have health insurance coverage distributions that are different from the civilian noninstitutionalized population, the distributions in the published tables may differ slightly from how they would look if the total population were represented.

Courtesy: Community Commons, <>, November 2017