P139. Imputation Of Earnings In 1999 For The Population 16+ Years -- Percent Of Earnings Imputed [7] - Summary File 3 (SF3) - Census 2000

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Census 2000

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Survey: Census 2000

Data Source:

U.S. Census Bureau

Data set: Summary File 3 (SF3)

Table:

P139. Imputation Of Earnings In 1999 For The Population 16+ Years -- Percent Of Earnings Imputed [7]

Universe: Population 16 years and over

Table Details

P139.

Imputation Of Earnings In 1999 For The Population 16+ Years -- Percent Of Earnings Imputed

Universe: Population 16 years and over

Variable	Label
P139001	No earnings imputed
P139002	Dollar value of zero imputed
P139003	More than 0 to less than 10 percent of total earnings for individual imputed
P139004	10 to less than 25 percent of total earnings for individual imputed
P139005	25 to less than 50 percent of total earnings for individual imputed
P139006	50 to less than 100 percent of total earnings for individual imputed
P139007	100 percent of total earnings for individual imputed

Relevant Documentation:

Excerpt from:	Social Explorer, U.S. Census Bureau; 2000 Census of Population and Housing, Summary File 3: Technical Documentation, 2002.
	Summary File 3 Technical Documentation -> Appendix C. Data Collection and Processing Procedures -> Glossary -> Imputation

Imputation

When information is missing or inconsistent, the Census Bureau uses a method called imputation to assign values. Imputation relies on the statistical principle of "homogeneity," or the tendency of households within a small geographic area to be similar in most characteristics. For example, the value of "rented" is likely to be imputed for a housing unit not reporting on owner/renter status in a neighborhood with multiunits or apartments where other respondents reported "rented" on the census questionnaire. In past censuses, when the occupancy status or the number of residents was not known for a housing unit, this information was imputed.

Internet Questionnaire Assistance (IQA)

An operation which allows respondents to use the Census Bureau's Internet site to (1) ask questions and receive answers about the census form, job opportunities, or the purpose of the census and (2) provide responses to the short form.

Interpolation

Interpolation frequently is used in calculating medians or quartiles based on interval data and in approximating standard errors from tables. Linear interpolation is used to estimate values of a function between two known values. Pareto interpolation is an alternative to linear interpolation. In Pareto interpolation, the median is derived by interpolating between the logarithms of the upper and lower income limits of the median category. It is used by the Census Bureau in calculating median income within intervals wider than $2,500.

Excerpt from:	Social Explorer, U.S. Census Bureau; 2000 Census of Population and Housing, Summary File 3: Technical Documentation, 2002.
	Summary File 3 Technical Documentation -> Appendix B. Definitons of Subject Characteristics -> Population Characteristics -> Income in 1999 -> Income Type in 1999 -> 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.

Excerpt from:	Social Explorer, U.S. Census Bureau; 2000 Census of Population and Housing, Summary File 3: Technical Documentation, 2002.
	Summary File 3 Technical Documentation -> Appendix B. Definitons of Subject Characteristics -> Derived Measures -> Percentage

Percentage

This measure is calculated by taking the number of items in a group possessing a characteristic of interest and dividing by the total number of items in that group, and then multiplying by 100.