Alaska Housing units by units in structure - multi-dwelling structure, percent, 2009-2013 by County

Data Item State
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Housing units in multi-unit structures, percent, 2009-2013 - (Percent)
County Value
Aleutians East Borough 15.7
Aleutians West Census Area 44.2
Anchorage Municipality 33.6
Bethel Census Area 13.0
Bristol Bay Borough 12.7
Denali Borough 9.8
Dillingham Census Area 15.2
Fairbanks North Star Borough 24.9
Haines Borough 15.0
Hoonah-Angoon Census Area 7.3
Juneau City and Borough 32.2
Kenai Peninsula Borough 11.7
Ketchikan Gateway Borough 39.4
Kodiak Island Borough 29.3
Lake and Peninsula Borough 2.9
Matanuska-Susitna Borough 11.1
Nome Census Area 18.1
North Slope Borough 26.4
Northwest Arctic Borough 17.5
Petersburg Census Area 14.5
Prince of Wales-Hyder Census Area 10.5
Sitka City and Borough 27.2
Skagway Municipality 27.6
Southeast Fairbanks Census Area 16.9
Valdez-Cordova Census Area 18.1
Wade Hampton Census Area 3.4
Wrangell City and Borough 17.2
Yakutat City and Borough 13.8
Yukon-Koyukuk Census Area 2.1

Value for Alaska (Percent): 24.0%

Data item: Housing units in multi-unit structures, percent, 2009-2013

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


Housing units in multi-unit structures are units in structures containing 2 or more housing units. Some tabulations further categorized them as units in structures with 2, 3 or 4, 5 to 9, 10 to 19, 20 to 49, and 50 or more units. Excluded from this category are single-family homes, mobile homes, and occupied living quarters that do not fit in the previous categories, such as houseboats, railroad cars, campers, and vans.

Units in structure was determined for both occupied and vacant housing units. A structure is a separate building that either has open spaces on all sides or is separated from other structures by dividing walls that extend from ground to roof. In determining the number of units in a structure, all housing units, both occupied and vacant, are counted. Stores and office space are excluded. The statistics are presented for the number of housing units in structures of specified type and size, not for the number of residential buildings.

The percentage shown is calculated by dividing the number units in multi-unit structures by the total number of housing units.

Scope and Methodology:

These data are collected in the American Community Survey (ACS). The data are estimates and are subject to sampling variability. 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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