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
Alcona
90.2
Alger
86.1
Allegan
90.3
Alpena
86.9
Antrim
88.9
Arenac
89.4
Baraga
89.2
Barry
89.3
Bay
88.9
Benzie
90.6
Berrien
85.0
Branch
88.0
Calhoun
84.5
Cass
88.3
Charlevoix
88.4
Cheboygan
88.3
Chippewa
81.7
Clare
83.4
Clinton
89.3
Crawford
87.4
Delta
88.7
Dickinson
89.9
Eaton
84.9
Emmet
85.8
Genesee
86.5
Gladwin
91.5
Gogebic
91.3
Grand Traverse
85.4
Gratiot
85.8
Hillsdale
88.0
Houghton
81.6
Huron
90.5
Ingham
74.9
Ionia
86.9
Iosco
86.2
Iron
91.0
Isabella
72.5
Jackson
85.7
Kalamazoo
79.0
Kalkaska
87.9
Kent
83.2
Keweenaw
90.8
Lake
88.9
Lapeer
89.4
Leelanau
89.9
Lenawee
86.8
Livingston
91.2
Luce
84.9
Mackinac
88.8
Macomb
88.0
Manistee
87.5
Marquette
82.6
Mason
87.3
Mecosta
82.1
Menominee
89.1
Midland
87.3
Missaukee
87.4
Monroe
89.5
Montcalm
87.7
Montmorency
87.6
Muskegon
84.1
Newaygo
88.4
Oakland
86.9
Oceana
86.9
Ogemaw
86.5
Ontonagon
94.9
Osceola
88.4
Oscoda
89.5
Otsego
85.2
Ottawa
84.6
Presque Isle
91.0
Roscommon
85.3
Saginaw
86.6
Sanilac
90.1
Schoolcraft
89.3
Shiawassee
89.4
St. Clair
86.1
St. Joseph
86.0
Tuscola
88.4
Van Buren
86.5
Washtenaw
76.8
Wayne
86.9
Wexford
86.7
Value for Michigan (Percent): 85.8%
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.