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
Adams
89.2
Alexander
93.2
Bond
84.9
Boone
89.0
Brown
80.1
Bureau
90.7
Calhoun
93.3
Carroll
89.8
Cass
90.2
Champaign
77.4
Christian
89.2
Clark
85.5
Clay
92.3
Clinton
89.3
Coles
76.1
Cook
87.0
Crawford
85.5
Cumberland
88.2
De Witt
87.4
DeKalb
77.6
Douglas
89.1
DuPage
87.8
Edgar
88.1
Edwards
89.9
Effingham
87.4
Fayette
85.5
Ford
85.4
Franklin
86.0
Fulton
85.2
Gallatin
91.0
Greene
89.5
Grundy
89.2
Hamilton
94.4
Hancock
93.2
Hardin
91.5
Henderson
88.3
Henry
93.4
Iroquois
88.4
Jackson
73.6
Jasper
91.5
Jefferson
85.2
Jersey
90.5
Jo Daviess
87.8
Johnson
85.0
Kane
88.5
Kankakee
89.1
Kendall
88.4
Knox
90.8
Lake
87.3
LaSalle
88.0
Lawrence
82.7
Lee
85.7
Livingston
87.1
Logan
82.7
Macon
83.5
Macoupin
89.5
Madison
85.9
Marion
86.9
Marshall
90.2
Mason
88.7
Massac
90.0
McDonough
80.5
McHenry
89.1
McLean
83.6
Menard
87.8
Mercer
90.0
Monroe
91.9
Montgomery
85.7
Morgan
81.9
Moultrie
89.1
Ogle
85.7
Peoria
85.5
Perry
89.3
Piatt
88.5
Pike
87.8
Pope
89.7
Pulaski
94.3
Putnam
89.8
Randolph
86.5
Richland
86.5
Rock Island
85.6
Saline
87.2
Sangamon
83.9
Schuyler
88.3
Scott
91.8
Shelby
91.3
St. Clair
87.8
Stark
91.4
Stephenson
86.3
Tazewell
88.1
Union
92.6
Vermilion
88.0
Wabash
88.2
Warren
86.1
Washington
88.7
Wayne
90.0
White
87.1
Whiteside
88.4
Will
90.6
Williamson
89.1
Winnebago
85.7
Woodford
89.7
Value for Illinois (Percent): 87.1%
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.
