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
Allen
86.9
Anderson
88.6
Atchison
84.6
Barber
90.6
Barton
81.5
Bourbon
83.5
Brown
89.2
Butler
85.1
Chase
88.3
Chautauqua
92.0
Cherokee
89.5
Cheyenne
91.9
Clark
85.9
Clay
81.4
Cloud
82.3
Coffey
87.5
Comanche
93.2
Cowley
82.6
Crawford
78.5
Decatur
83.9
Dickinson
87.7
Doniphan
84.9
Douglas
72.5
Edwards
94.7
Elk
89.9
Ellis
75.3
Ellsworth
85.7
Finney
85.0
Ford
84.7
Franklin
89.0
Geary
70.5
Gove
91.8
Graham
91.3
Grant
90.6
Gray
86.8
Greeley
85.5
Greenwood
90.4
Hamilton
85.7
Harper
89.1
Harvey
86.6
Haskell
90.6
Hodgeman
86.7
Jackson
87.2
Jefferson
90.2
Jewell
90.3
Johnson
83.9
Kearny
89.6
Kingman
91.0
Kiowa
93.7
Labette
86.0
Lane
91.1
Leavenworth
79.5
Lincoln
92.1
Linn
92.8
Logan
87.7
Lyon
76.3
Marion
89.8
Marshall
87.1
McPherson
85.5
Meade
86.8
Miami
90.5
Mitchell
87.4
Montgomery
83.9
Morris
86.9
Morton
95.1
Nemaha
90.4
Neosho
86.4
Ness
93.2
Norton
78.3
Osage
88.6
Osborne
88.0
Ottawa
91.0
Pawnee
74.2
Phillips
91.2
Pottawatomie
85.6
Pratt
85.0
Rawlins
87.8
Reno
83.7
Republic
89.4
Rice
82.9
Riley
70.8
Rooks
89.3
Rush
90.1
Russell
83.5
Saline
83.7
Scott
80.9
Sedgwick
83.6
Seward
84.3
Shawnee
84.9
Sheridan
90.0
Sherman
79.6
Smith
90.4
Stafford
90.0
Stanton
92.9
Stevens
89.6
Sumner
87.1
Thomas
85.9
Trego
80.3
Wabaunsee
90.9
Wallace
90.4
Washington
92.9
Wichita
89.1
Wilson
87.8
Woodson
86.5
Wyandotte
85.9
Value for Kansas (Percent): 83.6%
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.
