Idaho Population 1 year and over by residence - same house, one year ago, percent, 2009-2013 by County

Data Item State
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Living in same house 1 year & over, percent, 2009-2013 - (Percent)
County Value
Ada 82.5
Adams 88.3
Bannock 80.6
Bear Lake 85.7
Benewah 89.5
Bingham 85.9
Blaine 85.1
Boise 84.6
Bonner 86.5
Bonneville 84.8
Boundary 91.7
Butte 88.7
Camas 86.0
Canyon 82.1
Caribou 89.0
Cassia 83.5
Clark 70.9
Clearwater 84.9
Custer 91.6
Elmore 79.5
Franklin 91.2
Fremont 91.2
Gem 82.8
Gooding 88.0
Idaho 86.4
Jefferson 86.8
Jerome 87.9
Kootenai 83.2
Latah 70.4
Lemhi 86.6
Lewis 85.5
Lincoln 85.7
Madison 60.7
Minidoka 86.7
Nez Perce 85.4
Oneida 92.0
Owyhee 84.8
Payette 85.1
Power 89.8
Shoshone 80.2
Teton 83.3
Twin Falls 81.6
Valley 78.6
Washington 86.8

Value for Idaho (Percent): 82.8%

Data item: Living in same house 1 year & over, percent, 2009-2013

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


Persons living in the same house one year ago are those who responded "Yes, this house" to the question "Did this person live in this house or apartment 1 year ago?" The category includes all people 1 year and over who did not move during the 1 year as well as those who had moved and returned to their residence 1 year before the time of interview.

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.

Data were tabulated for persons 1 years old and over, and the percentage shown is derived by dividing the number of persons living in the same house by the total number of persons 1 years old and over.

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 population 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 Social Characteristic Facts (listed below), their estimates and margins of errors or percents and percent margins of error can be found on Data Profile - Social 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 - "Social Characteristics" for the data profile.

Living in same house 1 year & over, percent;
Foreign born persons, percent;
Language other than English spoken at home, percent age 5 years and over;
High school graduates or higher, percent of persons age 25 years and over;
Bachelor's degree or higher, percent of persons age 25 years and over;
Persons per household.

More Information:

  • ACS subject definitions
  • ACS methodology
  • Geographic mobility/migration data from other sources