10 to less than 25 Percent of Total Income for Nonfamily Household Imputed - RC2000SF3_009_P142004 - Imputation of Nonfamily Household Income in 1999 -- Percent of Income Imputed - Census 2000 on 2010 Geographies Summary File 3 (Sample Data) (RC2000SF3) - Survey Census 2000 on 2010 Geographies

Data Dictionary:

Census 2000 on 2010 Geographies

you are here: choose a survey survey data set table variable details

Survey: Census 2000 on 2010 Geographies

Data Source:

U.S. Census Bureau & Social Explorer

Data set: Census 2000 on 2010 Geographies Summary File 3 (Sample Data) (RC2000SF3)

Table:

P142. Imputation of Nonfamily Household Income in 1999 -- Percent of Income Imputed [7]

Universe: Nonfamily households

Variable Details

P142.	Imputation of Nonfamily Household Income in 1999 -- Percent of Income Imputed
	Universe: Nonfamily households
	RC2000SF3_009_P14200410 to less than 25 Percent of Total Income for Nonfamily Household Imputed Percent base: None - percentages not computed (variable is table universe) Aggregation method: Addition

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 -> 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.