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.
Living in same house 1 year ago, percent of persons age 1 year+, 2014-2018 - (Percent)
County
Value
Alamance
86.0
Alexander
90.3
Alleghany
93.0
Anson
90.5
Ashe
93.3
Avery
87.0
Beaufort
94.2
Bertie
89.1
Bladen
91.2
Brunswick
84.4
Buncombe
86.5
Burke
87.8
Cabarrus
86.3
Caldwell
85.6
Camden
91.8
Carteret
85.7
Caswell
90.6
Catawba
87.3
Chatham
89.7
Cherokee
88.5
Chowan
91.9
Clay
91.1
Cleveland
87.7
Columbus
88.2
Craven
80.4
Cumberland
78.5
Currituck
87.7
Dare
85.7
Davidson
86.3
Davie
88.4
Duplin
85.9
Durham
79.6
Edgecombe
90.9
Forsyth
84.9
Franklin
88.6
Gaston
86.4
Gates
93.3
Graham
92.7
Granville
88.4
Greene
81.6
Guilford
85.0
Halifax
89.9
Harnett
83.3
Haywood
85.7
Henderson
87.6
Hertford
85.7
Hoke
84.5
Hyde
90.1
Iredell
85.3
Jackson
82.0
Johnston
88.3
Jones
90.7
Lee
88.3
Lenoir
84.0
Lincoln
88.8
Macon
86.5
Madison
87.5
Martin
93.0
McDowell
90.7
Mecklenburg
81.3
Mitchell
92.1
Montgomery
90.1
Moore
88.1
Nash
86.8
New Hanover
82.2
Northampton
88.8
Onslow
71.4
Orange
77.4
Pamlico
88.4
Pasquotank
87.2
Pender
86.6
Perquimans
90.9
Person
90.7
Pitt
78.3
Polk
89.3
Randolph
88.7
Richmond
87.1
Robeson
91.7
Rockingham
89.3
Rowan
87.1
Rutherford
87.6
Sampson
86.0
Scotland
85.8
Stanly
88.2
Stokes
92.8
Surry
93.3
Swain
89.9
Transylvania
86.7
Tyrrell
84.7
Union
88.1
Vance
87.4
Wake
82.2
Warren
89.1
Washington
91.8
Watauga
76.3
Wayne
82.9
Wilkes
92.1
Wilson
88.1
Yadkin
91.3
Yancey
91.6
Value for North Carolina (Percent): 84.8%
Data item: Living in same house 1 year ago, percent of persons age 1 year+, 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
Residence 1 year ago is used in conjunction with location of current residence to determine the extent of residential mobility of the population and the resulting redistribution of the population across the various states, metropolitan areas, and regions of the country. For the complete definition, go to ACS subject definitions "Residence 1 year ago."
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.
