About this application: This application provides summary profiles showing frequently requested data items from various US Census Bureau programs. Profiles are available for the nation, states, and counties.
Persons without health insurance, under age 65 years, percent - (Percent)
County
Value
Alamance
14.1
Alexander
13.4
Alleghany
18.3
Anson
13.1
Ashe
15.7
Avery
20.0
Beaufort
13.9
Bertie
13.2
Bladen
16.7
Brunswick
13.5
Buncombe
13.5
Burke
14.7
Cabarrus
10.4
Caldwell
13.9
Camden
11.9
Carteret
12.7
Caswell
12.9
Catawba
13.2
Chatham
14.2
Cherokee
14.0
Chowan
11.9
Clay
15.6
Cleveland
11.9
Columbus
14.8
Craven
11.6
Cumberland
10.8
Currituck
12.8
Dare
13.0
Davidson
12.9
Davie
12.5
Duplin
19.6
Durham
13.4
Edgecombe
12.1
Forsyth
12.9
Franklin
14.4
Gaston
12.0
Gates
11.7
Graham
18.6
Granville
11.5
Greene
18.8
Guilford
11.9
Halifax
13.5
Harnett
13.0
Haywood
12.0
Henderson
15.2
Hertford
11.9
Hoke
15.8
Hyde
15.7
Iredell
11.5
Jackson
18.2
Johnston
14.0
Jones
15.6
Lee
15.0
Lenoir
13.5
Lincoln
12.7
Macon
15.6
Madison
12.6
Martin
10.9
McDowell
12.9
Mecklenburg
12.7
Mitchell
14.2
Montgomery
16.3
Moore
11.9
Nash
12.3
New Hanover
12.3
Northampton
11.5
Onslow
8.8
Orange
10.5
Pamlico
12.7
Pasquotank
12.2
Pender
13.7
Perquimans
12.4
Person
11.7
Pitt
10.8
Polk
14.3
Randolph
15.0
Richmond
14.6
Robeson
18.6
Rockingham
13.0
Rowan
13.8
Rutherford
13.6
Sampson
18.7
Scotland
14.2
Stanly
12.9
Stokes
13.3
Surry
14.7
Swain
18.3
Transylvania
15.3
Tyrrell
17.0
Union
10.5
Vance
12.1
Wake
10.0
Warren
16.4
Washington
13.1
Watauga
14.2
Wayne
15.0
Wilkes
15.7
Wilson
13.8
Yadkin
14.1
Yancey
14.7
Value for North Carolina (Percent): 12.7%
Data item: Persons without health insurance, under age 65 years, percent
QuickFacts uses data from the following sources: National level - Current Population Survey, Annual Social and Economic Supplement (CPS ASEC); State level - American Community Survey (ACS), one-year estimates; County level - The Small Area Health Insurance Estimates (SAHIE), one-year estimates;Sub-county level: Cities, towns and census designated places; - ACS, five-year estimates;Puerto Rico and its municipios (county-equivalents for Puerto Rico) and its sub-counties (zonas urbanas and comunidades); Puerto Rico Community Survey (PRCS), five-year estimates.
The Census Bureau produces health insurance data from three surveys and one model-based program. Depending on your needs, one data source may be more suitable than another data source. A chart summarizing the recommendations at various geographic levels is located on this page: Guidance for Data Users Included in this chart is the Survey of Income and Program Participation (SIPP), a longitudinal survey (changes in health status for the same household over time).
The following links are very useful for an overview of heath insurance:
Data at a National level - Current Population Survey, Annual Social and Economic Supplement (CPS ASEC)
The Annual Social and Economic Supplement to the Current Population Survey (CPS ASEC) provides annual, calendar-year, national estimates of health insurance coverage. The Census Bureau conducts the ASEC over a 3 month period, in February, March, and April, with most data collection occurring in the month of March. The CPS, sponsored jointly by the Census Bureau and the U.S. Bureau of Labor Statistics, is the country's primary source of labor force statistics for the civilian, non-institutional population.
Data at the state level - American Community Survey (ACS), one-year estimates
The ACS is a nationwide survey designed to provide communities with reliable and timely demographic, social, economic and housing estimates every year. The PRCS is part of the Census Bureau's ACS, customized for Puerto Rico. The ACS is a nationwide survey designed to provide communities with reliable and timely demographic, social, economic and housing estimates every year. The ACS provides a wide range of important statistics about people and housing for every community across the United States and Puerto Rico, of which this Fact is one. These surveys are the only source of local estimates for most of the 40 topics it covers such as education, occupation, language, ancestry, and housing costs, and provides information for even the smallest communities. Estimates are available for the nation, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. One-year estimate includes information collected from independent monthly samples from the previous 12 months.
Data at a county level - Small Area Health Insurance Estimates (SAHIE)
The U.S. Census Bureau's SAHIE program produces timely estimates for all counties and states by detailed demographic and income groups. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. The SAHIE program models health insurance coverage by combining survey data with population estimates and administrative records from the following sources: American Community Survey (ACS); demographic population estimates; aggregated federal tax returns; participation records for the Supplemental Nutrition Assistance Program (SNAP); County Business Patterns; Medicaid and the Children's Health Insurance Program (CHIP) participation records; and Census 2010.
Data at a sub-county level - American Community Survey (ACS) and Puerto Rico Community Survey (PRCS), five year estimates
The ACS is a nationwide survey designed to provide communities with reliable and timely demographic, social, economic and housing estimates every year. The PRCS is part of the Census Bureau's ACS, customized for Puerto Rico. The ACS produces estimates for numerous social, economic and housing characteristics including language, education, the commute to work, employment, mortgage status and rent, as well as income, poverty and health insurance. A multi-year estimate is simply a period estimate that encompasses more than one calendar year. In the case of ACS multi-year estimates, the period is either three or five calendar years. While a one-year estimate includes information collected from independent monthly samples over a 12-month period, a five-year estimate includes information collected over a 60-month period. These estimates are available for all areas regardless of population size, down to the block group.
