| Data Dictionary: | ACS 2012 (1-Year Estimates) |
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Survey: ACS 2012 (1-Year Estimates)
| Data Source: | U.S. Census Bureau |
Data set: American Community Survey 2012 (ACS12)
| Table: | B992523. Imputation of Selected Monthly Owner Costs for Owner-Occupied Housing Units [3] |
Universe: Universe: Owner-occupied housing units
Table Details
| B992523. | Imputation of Selected Monthly Owner Costs for Owner-Occupied Housing Units | ||||||||
| Universe: Universe: Owner-occupied housing units | |||||||||
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Relevant Documentation:
| Excerpt from: | Social Explorer; U.S. Census Bureau; American Community Survey 2012 Summary File: Technical Documentation. |
| ACS 2012-1yr Summary File: Technical Documentation -> Appendix A: Supplemental Documentation -> 2012 Subject Definitions -> Quality Measures -> Imputation Rates |
Missing data for a particular question or item is called item nonresponse. It occurs when a respondent fails to provide an answer to a required item. The ACS also considers invalid answers as item nonresponse. The Census Bureau uses imputation methods that either use rules to determine acceptable answers or use answers from similar housing units or people who provided the item information. One type of imputation, allocation, involves using statistical procedures, such as within-household or nearest neighbor matrices populated by donors, to impute for missing values.
Overall Person Characteristic Imputation Rate - This rate is calculated by adding together the weighted number of allocated items across a set of person characteristics, and dividing by the total weighted number of responses across the same set of characteristics.
Overall Housing Characteristic Imputation Rate - This rate is calculated by adding together the weighted number of allocated items across a set of household and housing unit characteristics, and dividing by the total weighted number of responses across the same set of characteristics.
These rates give an overall picture of the rate of item nonresponse for a geographic area.
Overall Person Characteristic Imputation Rate - This rate is calculated by adding together the weighted number of allocated items across a set of person characteristics, and dividing by the total weighted number of responses across the same set of characteristics.
Overall Housing Characteristic Imputation Rate - This rate is calculated by adding together the weighted number of allocated items across a set of household and housing unit characteristics, and dividing by the total weighted number of responses across the same set of characteristics.
These rates give an overall picture of the rate of item nonresponse for a geographic area.
| Excerpt from: | Social Explorer; U.S. Census Bureau; American Community Survey 2012 Summary File: Technical Documentation. |
| ACS 2012-1yr Summary File: Technical Documentation -> Appendix A: Supplemental Documentation -> 2012 Subject Definitions -> Housing Variables -> Monthly Housing Costs |
The data for monthly housing costs are developed from a distribution of "Selected Monthly Owner Costs" for owner-occupied units and "Gross Rent" for renter-occupied units. The owner-occupied categories are further separated into those with a mortgage and those without a mortgage. See the sections on "Selected Monthly Owner Costs" and "Gross Rent" for more details on what characteristics are included in each measure and how these data are comparable to previous ACS and Census 2000 data.
Monthly housing costs provide information on the cost of monthly housing expenses for owners and renters. When the data is used in conjunction with income data, the information offers an excellent measure of housing affordability and excessive shelter costs. The data also serve to aid in the development of housing programs to meet the needs of people at different economic levels.
Monthly housing costs provide information on the cost of monthly housing expenses for owners and renters. When the data is used in conjunction with income data, the information offers an excellent measure of housing affordability and excessive shelter costs. The data also serve to aid in the development of housing programs to meet the needs of people at different economic levels.
This measure divides the monthly housing costs distribution into two equal parts: one-half of the cases falling below the median monthly housing costs and one-half above the median. Medians are shown separately for units "with a mortgage" and for units "not mortgaged." Median monthly housing costs are computed on the basis of a standard distribution. (See the "Standard Distributions" section under Appendix A.) Median monthly housing costs are rounded to the nearest whole dollar.
