Idaho 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
Ada 68.1
Adams 81.6
Bannock 68.8
Bear Lake 81.3
Benewah 75.2
Bingham 74.8
Blaine 70.1
Boise 78.3
Bonner 73.1
Bonneville 73.0
Boundary 74.4
Butte 79.5
Camas 67.7
Canyon 69.3
Caribou 84.1
Cassia 69.0
Clark 59.5
Clearwater 80.1
Custer 83.5
Elmore 62.4
Franklin 80.9
Fremont 82.5
Gem 74.6
Gooding 70.5
Idaho 78.2
Jefferson 83.8
Jerome 63.5
Kootenai 70.6
Latah 56.7
Lemhi 71.3
Lewis 74.1
Lincoln 71.7
Madison 49.1
Minidoka 72.8
Nez Perce 69.3
Oneida 81.2
Owyhee 64.2
Payette 74.6
Power 70.8
Shoshone 68.4
Teton 72.1
Twin Falls 66.8
Valley 77.8
Washington 76.3

Value for Idaho (Percent): 69.8%

Data item: Homeownership rate, 2009-2013

Source: U. S. Census Bureau, American Community Survey, 5-Year Estimates. Updated every year.


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 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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