10 to Less than 25 Percent of Total Income for Individual Imputed - B99191005 - Imputation of Individuals' Income in the Past 12 Months for the Population 15 Years and Over - Percent of Income Imputed - American Community Survey Tables: 2011 -- 2015 (5-Year Estimates) (ACS15_5yr) - Survey ACS 2015 (5-Year Estimates)

Data Dictionary:

ACS 2015 (5-Year Estimates)

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Survey: ACS 2015 (5-Year Estimates)

Data Source:

U.S. Census Bureau

Data set: American Community Survey Tables: 2011 -- 2015 (5-Year Estimates) (ACS15_5yr)

Table:

B99191. Imputation of Individuals' Income in the Past 12 Months for the Population 15 Years and Over - Percent of Income Imputed [8]

Universe: Universe: Population 15 years and Over

Variable Details

B99191.	Imputation of Individuals' Income in the Past 12 Months for the Population 15 Years and Over - Percent of Income Imputed
	Universe: Universe: Population 15 years and Over
	B99191001Universe: Population 15 years and Over B99191005 10 to Less than 25 Percent of Total Income for Individual Imputed Percent base: Population 15 Years and Over (ACS15_5yr:B99191001) Aggregation method: Addition

Relevant Documentation:

Excerpt from:	Social Explorer; U.S. Census Bureau; 2015 ACS 1-year and 2011-2015 ACS 5-year Data Releases: Technical Documentation.
	2015 ACS 1-year and 2011-2015 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.