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
Aitkin
90.6
Anoka
88.4
Becker
89.3
Beltrami
83.2
Benton
85.6
Big Stone
88.5
Blue Earth
80.9
Brown
90.6
Carlton
89.9
Carver
89.0
Cass
89.2
Chippewa
85.6
Chisago
86.3
Clay
84.0
Clearwater
89.1
Cook
87.6
Cottonwood
87.9
Crow Wing
88.2
Dakota
87.0
Dodge
86.6
Douglas
87.7
Faribault
90.9
Fillmore
90.6
Freeborn
87.5
Goodhue
86.9
Grant
88.0
Hennepin
83.1
Houston
89.7
Hubbard
87.4
Isanti
86.7
Itasca
88.0
Jackson
88.6
Kanabec
87.9
Kandiyohi
87.5
Kittson
89.7
Koochiching
89.8
Lac qui Parle
88.0
Lake
91.1
Lake of the Woods
89.0
Le Sueur
87.8
Lincoln
87.4
Lyon
84.6
Mahnomen
88.6
Marshall
92.7
Martin
87.6
McLeod
87.9
Meeker
88.9
Mille Lacs
86.2
Morrison
89.7
Mower
84.5
Murray
91.1
Nicollet
84.2
Nobles
90.3
Norman
91.4
Olmsted
85.6
Otter Tail
89.4
Pennington
88.8
Pine
89.6
Pipestone
85.3
Polk
87.5
Pope
86.5
Ramsey
82.0
Red Lake
92.3
Redwood
92.5
Renville
91.2
Rice
85.7
Rock
86.5
Roseau
89.8
Scott
89.0
Sherburne
87.6
Sibley
91.1
St. Louis
83.4
Stearns
80.6
Steele
86.5
Stevens
81.3
Swift
90.2
Todd
89.8
Traverse
92.3
Wabasha
90.0
Wadena
89.2
Waseca
88.3
Washington
88.4
Watonwan
93.1
Wilkin
92.5
Winona
80.2
Wright
89.7
Yellow Medicine
89.9
Value for Minnesota (Percent): 85.7%
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.
