Universe: Population 16 years and Over - B99201001 - Imputation of Earnings in the Past 12 Months for the Population 16 Years and Over - Percent of Earnings Imputed - American Community Survey 2013 (3-Year Estimates) (ACS2013_3yr) - Survey ACS 2013 (3-Year Estimates)

Data Dictionary:

ACS 2013 (3-Year Estimates)

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Survey: ACS 2013 (3-Year Estimates)

Data Source:

U.S. Census Bureau

Data set: American Community Survey 2013 (3-Year Estimates) (ACS2013_3yr)

Table:

B99201. Imputation of Earnings in the Past 12 Months for the Population 16 Years and Over - Percent of Earnings Imputed [8]

Universe: Universe: Population 16 years and Over

Variable Details

B99201.	Imputation of Earnings in the Past 12 Months for the Population 16 Years and Over - Percent of Earnings Imputed
	Universe: Universe: Population 16 years and Over
	B99201001Universe: Population 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; American Community Survey 2013 3yr Summary File: Technical Documentation.
	ACS 2013-3yr Summary File: Technical Documentation -> Appendix A: Supplemental Documentation -> 2013 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.

Excerpt from:	Social Explorer; U.S. Census Bureau; American Community Survey 2013 3yr Summary File: Technical Documentation.
	ACS 2013-3yr Summary File: Technical Documentation -> Appendix A: Supplemental Documentation -> 2013 Subject Definitions -> Population Variables -> Income Type in the Past 12 Months -> Earnings

Earnings

Earnings are defined as the sum of wage or salary income and net income from self-employment. "Earnings" represent the amount of income received regularly for people 16 years old and over before deductions for personal income taxes, Social Security, bond purchases, union dues, Medicare deductions, etc. An individual with earnings is one who has either wage/salary income or self-employment income, or both. Respondents who "break even" in self-employment income and therefore have zero self-employment earnings also are considered "individuals with earnings."