Universe: Occupied housing units - B99257001 - Allocation of Year Householder Moved Into Unit - American Community Survey 2016 (ACS16) - Survey ACS 2016 (1-Year Estimates)

Data Dictionary:

ACS 2016 (1-Year Estimates)

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Survey: ACS 2016 (1-Year Estimates)

Data Source:

U.S. Census Bureau

Data set: American Community Survey 2016 (ACS16)

Table:

B99257. Allocation of Year Householder Moved Into Unit [3]

Universe: Universe: Occupied housing units

Variable Details

B99257.	Allocation of Year Householder Moved Into Unit
	Universe: Universe: Occupied housing units
	B99257001Universe: Occupied housing units Percent base: None - percentages not computed (variable is table universe) Aggregation method: Addition

Relevant Documentation:

Excerpt from:	Social Explorer; U.S. Census Bureau; 2016 ACS 1-year and 2012-2016 ACS 5-year Data Releases: Technical Documentation.
	2016 ACS 1-year and 2012-2016 ACS 5-year Data Releases: Technical Documentation -> Appendix A: Supplemental Documentation -> 2014 Subject Definitions -> Housing Variables -> Year Householder Moved into Unit

Year Householder Moved into Unit

The data on year householder moved into unit were obtained from answers to Housing Question 3 in the 2013 American Community Survey, which was asked at occupied housing units. These data refer to the year of the latest move by the householder. If the householder moved back into a housing unit he or she previously occupied, the year of the latest move was reported. If the householder moved from one apartment to another within the same building, the year the householder moved into the present apartment was reported. The intent is to establish the year the present occupancy by the householder began. The year that the householder moved in is not necessarily the same year other members of the household moved in, although in the great majority of cases an entire household moves at the same time.

The year the householder moved into the unit provides information on the specific period of time when mobility occurs, especially for recent movers. These data help to measure neighborhood stability and to identify transient communities. The data also is used to assess the amount of displacement caused by floods and other natural disasters, and as an aid to evaluate the changes in service requirements.

Median Year Householder Moved into Unit

Median year householder moved into unit divides the distribution into two equal parts: one-half of the cases falling below the median year householder moved into unit and one-half above the median. Median year householder moved into unit is computed on the basis of a standard distribution. (See the "Standard Distributions" section in Appendix A.) Median year householder moved into unit is rounded to the nearest calendar year. (For more information on medians, see "Derived Measures.")

Question/Concept History

Since 1996, the question provided two write-in spaces for the respondent to enter month and year the householder (person 1) moved into the house, apartment, or mobile home.

Comparability

Data on year householder moved into unit in the 2013 American Community Survey can be compared to previous ACS and Census 2000 year householder moved into unit data.

Excerpt from:	Social Explorer; U.S. Census Bureau; 2016 ACS 1-year and 2012-2016 ACS 5-year Data Releases: Technical Documentation.
	2016 ACS 1-year and 2012-2016 ACS 5-year Data Releases: Technical Documentation -> Appendix A: Supplemental Documentation -> 2014 Subject Definitions -> Quality Measures -> Imputation Rates

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.