Universe: Workers 16 years and over - B99082001 - Allocation of Private Vehicle Occupancy - 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:

B99082. Allocation of Private Vehicle Occupancy [5]

Universe: Universe: Workers 16 years and over

Variable Details

B99082.	Allocation of Private Vehicle Occupancy
	Universe: Universe: Workers 16 years and over
	B99082001Universe: Workers 16 years and over 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 -> Population Variables -> Private Vehicle Occupancy

Private Vehicle Occupancy

See Journey to Work.

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.