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
90.3
Allen
84.0
Ashland
85.7
Ashtabula
88.4
Athens
70.1
Auglaize
88.6
Belmont
90.1
Brown
90.1
Butler
83.8
Carroll
90.0
Champaign
83.4
Clark
81.0
Clermont
88.1
Clinton
86.3
Columbiana
88.1
Coshocton
86.6
Crawford
85.6
Cuyahoga
84.7
Darke
88.1
Defiance
87.1
Delaware
87.7
Erie
87.4
Fairfield
87.1
Fayette
86.3
Franklin
80.6
Fulton
89.0
Gallia
85.7
Geauga
92.2
Greene
82.6
Guernsey
87.6
Hamilton
83.1
Hancock
83.3
Hardin
84.1
Harrison
89.8
Henry
88.0
Highland
86.6
Hocking
89.1
Holmes
92.0
Huron
87.4
Jackson
88.3
Jefferson
87.6
Knox
85.9
Lake
89.5
Lawrence
90.1
Licking
86.2
Logan
86.9
Lorain
86.1
Lucas
83.1
Madison
83.3
Mahoning
87.6
Marion
84.5
Medina
90.2
Meigs
88.8
Mercer
89.5
Miami
84.7
Monroe
92.2
Montgomery
82.0
Morgan
91.9
Morrow
90.2
Muskingum
85.5
Noble
87.9
Ottawa
90.4
Paulding
90.2
Perry
89.2
Pickaway
85.6
Pike
89.4
Portage
84.2
Preble
88.7
Putnam
91.5
Richland
83.3
Ross
85.3
Sandusky
90.0
Scioto
86.9
Seneca
85.4
Shelby
87.5
Stark
86.9
Summit
88.0
Trumbull
90.3
Tuscarawas
86.9
Union
82.6
Van Wert
88.9
Vinton
88.9
Warren
87.0
Washington
89.2
Wayne
87.0
Williams
83.1
Wood
79.9
Wyandot
88.1
Value for Ohio (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.