Universe: Households - B99192001 - Imputation of Household Income in the Past 12 Months - Percent of Income Imputed - American Community Survey 2015 (ACS15) - Survey ACS 2015 (1-Year Estimates)

Data Dictionary:

ACS 2015 (1-Year Estimates)

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Survey: ACS 2015 (1-Year Estimates)

Data Source:

U.S. Census Bureau

Data set: American Community Survey 2015 (ACS15)

Table:

B99192. Imputation of Household Income in the Past 12 Months - Percent of Income Imputed [8]

Universe: Universe: Households

Variable Details

B99192.	Imputation of Household Income in the Past 12 Months - Percent of Income Imputed
	Universe: Universe: Households
	B99192001Universe: Households Percent base: None - percentages not computed (variable is table universe) 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 -> Population Variables -> Income Type in the Past 12 Months -> Income of Households

Income of Households

This includes the income of the householder and all other individuals 15 years old and over in the household, whether they are related to the householder or not. Because many households consist of only one person, average household income is usually less than average family income. Although the household income statistics cover the past 12 months, the characteristics of individuals and the composition of households refer to the time of interview. Thus, the income of the household does not include amounts received by individuals who were members of the household during all or part of the past 12 months if these individuals no longer resided in the household at the time of interview. Similarly, income amounts reported by individuals who did not reside in the household during the past 12 months but who were members of the household at the time of interview are included. However, the composition of most households was the same during the past 12 months as at the time of interview.

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.