Ohio Owner-occupied housing units - percent of total occupied housing units, 2009-2013 by County

Data Item State
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Homeownership rate, 2009-2013 - (Percent)
County Value
Adams 73.2
Allen 68.6
Ashland 74.7
Ashtabula 72.5
Athens 56.6
Auglaize 74.6
Belmont 74.6
Brown 77.6
Butler 70.4
Carroll 78.8
Champaign 74.3
Clark 67.0
Clermont 75.2
Clinton 66.8
Columbiana 72.6
Coshocton 73.9
Crawford 69.9
Cuyahoga 60.9
Darke 74.4
Defiance 75.8
Delaware 82.3
Erie 69.0
Fairfield 72.8
Fayette 62.4
Franklin 55.1
Fulton 80.1
Gallia 76.3
Geauga 86.6
Greene 67.8
Guernsey 73.7
Hamilton 59.5
Hancock 70.7
Hardin 70.1
Harrison 76.7
Henry 79.4
Highland 70.9
Hocking 76.2
Holmes 76.0
Huron 72.9
Jackson 67.2
Jefferson 73.0
Knox 71.4
Lake 75.0
Lawrence 73.3
Licking 72.9
Logan 74.1
Lorain 71.6
Lucas 62.2
Madison 71.4
Mahoning 69.8
Marion 69.1
Medina 79.6
Meigs 79.5
Mercer 79.1
Miami 71.2
Monroe 79.0
Montgomery 62.0
Morgan 77.3
Morrow 82.2
Muskingum 68.3
Noble 80.3
Ottawa 80.5
Paulding 78.1
Perry 70.5
Pickaway 74.6
Pike 71.9
Portage 68.2
Preble 77.7
Putnam 84.1
Richland 69.2
Ross 72.5
Sandusky 75.8
Scioto 69.6
Seneca 72.4
Shelby 74.6
Stark 70.0
Summit 67.9
Trumbull 72.3
Tuscarawas 72.9
Union 75.8
Van Wert 79.0
Vinton 76.4
Warren 77.9
Washington 75.3
Wayne 73.2
Williams 75.3
Wood 67.6
Wyandot 71.2

Value for Ohio (Percent): 67.5%

Data item: Homeownership rate, 2009-2013

Source: U. S. Census Bureau, American Community Survey, 5-Year Estimates. Updated every year. http://factfinder2.census.gov


A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied (or if vacant, is intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live and eat separately from any other persons in the building and which have direct access from the outside of the building or through a common hall.

A housing unit is owner-occupied if the owner or co-owner lives in the unit, even if it is mortaged or not fully paid for.

The homeownership rate is computed by dividing the number of owner-occupied housing units by the number of occupied housing units or households.

Scope and Methodology:

These data are collected in the American Community Survey (ACS). The data for each geographic area are presented together with margins of error at factfinder2.census.gov. The data are period estimates, that is, they represent the characteristics of the housing over a specific 60-month data collection period.

Margins of Error (MOE). ACS estimates are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a MOE. The MOE used with ACS estimates can be interpreted as providing a 90 percent probability that the interval defined by the estimate plus the MOE and the estimate minus the MOE (the upper and lower confidence bounds) contains the full population value of the estimate.

For example, suppose the 5-year ACS reported the percentage of people 25 years and older in Birmingham, Alabama who had a bachelor's degree was 21.3 percent and that the MOE associated with this estimate is plus or minus (+/-) 0.9 percent. By adding and subtracting the MOE from the estimate, we can calculate the 90-percent confidence interval for this estimate at 21.3%, +/-0.9%:

21.3% - 0.9% = 20.4% = Lower-bound estimate
21.3% + 0.9% = 22.2% = Upper-bound estimate

Therefore, we can be 90 percent confident that the percent of the population in Birmingham, Alabama of age 25 years and older having a bachelor's degree in 2007-2011 falls somewhere between 20.4 percent and 22.2 percent.

For this Fact and other 5-year Housing Characteristic Facts (listed below), their estimates and margins of error or percents and percent margins of errors can be found on Data Profile - Housing Characteristics. This profile is displayed by geography. Click on the link for "Browse data sets for (geography picked)" near the top of the Quick Facts profile page, click on the link for People QuickLinks/American Community Survey - "Housing Characteristics" for the data profile.

Homeownership rate,
Median value of owner-occupied housing units.

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