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
Anderson
85.1
Bedford
87.2
Benton
92.5
Bledsoe
88.9
Blount
91.1
Bradley
84.0
Campbell
88.2
Cannon
85.3
Carroll
87.6
Carter
86.1
Cheatham
87.1
Chester
90.1
Claiborne
87.2
Clay
90.4
Cocke
91.3
Coffee
85.3
Crockett
89.5
Cumberland
82.8
Davidson
81.0
Decatur
93.2
DeKalb
88.0
Dickson
87.4
Dyer
84.6
Fayette
91.3
Fentress
86.7
Franklin
89.5
Gibson
85.6
Giles
87.1
Grainger
90.7
Greene
87.8
Grundy
94.9
Hamblen
89.3
Hamilton
85.9
Hancock
89.0
Hardeman
93.0
Hardin
92.3
Hawkins
87.9
Haywood
90.6
Henderson
91.8
Henry
88.7
Hickman
89.6
Houston
89.8
Humphreys
85.2
Jackson
91.9
Jefferson
86.3
Johnson
89.6
Knox
82.5
Lake
79.3
Lauderdale
82.4
Lawrence
90.6
Lewis
91.7
Lincoln
86.5
Loudon
87.5
Macon
85.1
Madison
89.2
Marion
94.0
Marshall
89.5
Maury
85.9
McMinn
87.5
McNairy
93.5
Meigs
88.9
Monroe
83.5
Montgomery
78.3
Moore
86.8
Morgan
84.4
Obion
86.0
Overton
91.7
Perry
92.3
Pickett
84.0
Polk
88.2
Putnam
83.7
Rhea
83.8
Roane
86.2
Robertson
87.9
Rutherford
83.1
Scott
88.9
Sequatchie
90.5
Sevier
85.2
Shelby
84.2
Smith
90.5
Stewart
85.4
Sullivan
86.1
Sumner
85.1
Tipton
87.8
Trousdale
80.9
Unicoi
86.9
Union
90.1
Van Buren
88.9
Warren
87.8
Washington
83.2
Wayne
93.1
Weakley
85.1
White
89.1
Williamson
84.1
Wilson
86.3
Value for Tennessee (Percent): 85.2%
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.