Alaska Housing units by units in structure - multi-dwelling structure, percent, 2009-2013 by County
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. http://factfinder2.census.gov
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 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
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.
Median value of owner-occupied housing units.