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.
Owner-occupied housing unit rate, 2014-2018 - (Percent)
County
Value
Alamance
65.0
Alexander
75.3
Alleghany
75.0
Anson
66.9
Ashe
75.2
Avery
74.7
Beaufort
70.4
Bertie
74.9
Bladen
70.8
Brunswick
79.0
Buncombe
63.8
Burke
72.3
Cabarrus
71.5
Caldwell
71.3
Camden
80.5
Carteret
72.2
Caswell
78.8
Catawba
69.4
Chatham
76.5
Cherokee
80.2
Chowan
69.3
Clay
76.2
Cleveland
67.5
Columbus
71.9
Craven
62.5
Cumberland
51.0
Currituck
82.6
Dare
70.9
Davidson
70.1
Davie
77.8
Duplin
70.0
Durham
53.8
Edgecombe
59.4
Forsyth
61.5
Franklin
73.3
Gaston
66.3
Gates
78.3
Graham
84.0
Granville
73.6
Greene
70.7
Guilford
58.9
Halifax
62.7
Harnett
64.5
Haywood
71.9
Henderson
72.5
Hertford
67.1
Hoke
67.6
Hyde
68.1
Iredell
71.9
Jackson
64.5
Johnston
71.6
Jones
72.8
Lee
66.6
Lenoir
59.4
Lincoln
76.4
Macon
72.8
Madison
72.6
Martin
69.7
McDowell
71.8
Mecklenburg
56.5
Mitchell
80.3
Montgomery
72.7
Moore
75.3
Nash
65.7
New Hanover
57.2
Northampton
69.0
Onslow
52.8
Orange
61.9
Pamlico
75.1
Pasquotank
61.0
Pender
80.5
Perquimans
74.1
Person
75.2
Pitt
52.4
Polk
73.4
Randolph
71.8
Richmond
66.1
Robeson
65.0
Rockingham
69.1
Rowan
69.1
Rutherford
71.3
Sampson
68.8
Scotland
61.3
Stanly
73.5
Stokes
77.7
Surry
72.2
Swain
71.4
Transylvania
76.8
Tyrrell
71.8
Union
80.5
Vance
59.7
Wake
63.9
Warren
72.5
Washington
63.2
Watauga
60.6
Wayne
61.5
Wilkes
74.2
Wilson
59.0
Yadkin
76.7
Yancey
74.3
Value for North Carolina (Percent): 65.0%
Data item: Owner-occupied housing unit rate, 2014-2018
Sources: U.S. Census Bureau, American Community Survey (ACS) and Puerto Rico Community Survey (PRCS), 5-Year Estimates. The PRCS is part of the Census Bureau's ACS, customized for Puerto Rico. Both Surveys are updated every year.
Definition
Owner-Occupied - A housing unit is owner-occupied if the owner or co-owner lives in the unit, even if it is mortgaged or not fully paid for. The owner or co-owner must live in the unit and usually is Person 1 on the questionnaire. The unit is "Owned by you or someone in this household with a mortgage or loan" if it is being purchased with a mortgage or some other debt arrangement such as a deed of trust, trust deed, contract to purchase, land contract, or purchase agreement. The unit also is considered owned with a mortgage if it is built on leased land and there is a mortgage on the unit. Mobile homes occupied by owners with installment loan balances also are included in this category. For the complete definition, go to ACS subject definitions "Tenure."
The homeownership rate is computed by dividing the number of owner-occupied housing units by the number of occupied housing units or households.
Source and Accuracy
This Fact is based on data collected in the American Community Survey (ACS) and the Puerto Rico Community Survey (PRCS) conducted annually by the U.S. Census Bureau. A sample of over 3.5 million housing unit addresses is interviewed each year over a 12 month period. This Fact (estimate) is based on five years of ACS and PRCS sample data and describes the average value of person, household and housing unit characteristics over this period of collection.
Statistics from all surveys are subject to sampling and nonsampling error. Sampling error is the uncertainty between an estimate based on a sample and the corresponding value that would be obtained if the estimate were based on the entire population (as from a census). Measures of sampling error are provided in the form of margins of error for all estimates included with ACS and PRCS published products. The Census Bureau recommends that data users incorporate this information into their analyses, as sampling error in survey estimates could impact the conclusions drawn from the results. The data for each geographic area are presented together with margins of error at Using margins of error. A more detailed explanation of margins of error and a demonstration of how to use them is provided below.
For more information on sampling and estimation methodology, confidentiality, and sampling and nonsampling errors, please see the Multiyear Accuracy (US) and the Multiyear Accuracy (Puerto Rico) documents at "Documentation - Accuracy of the data."
Margin of Error
As mentioned above, ACS estimates are based on a sample and are subject to sampling error. The margin of error measures the degree of uncertainty caused by sampling error. The margin of error is used with an ACS estimate to construct a confidence interval about the estimate. The interval is formed by adding the margin of error to the estimate (the upper bound) and subtracting the margin of error from the estimate (the lower bound). It is expected with 90 percent confidence that the interval will contain the full population value of the estimate. The following example is for demonstrating purposes only. Suppose the ACS reported that the percentage of people in a state who were 25 years and older with a bachelor's degree was 21.3 percent and that the margin of error associated with this estimate was 0.7 percent. By adding and subtracting the margin of error from the estimate, we calculate the 90-percent confidence interval for this estimate:
Therefore, we can be 90 percent confident that the percent of the population 25 years and older having a bachelor's degree in a state falls somewhere between 20.6 percent and 22.0 percent.