Overview of Administrative Records on Population and Housing

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Presentation transcript:

Overview of Administrative Records on Population and Housing Sonya Rastogi Center for Administrative Records Research and Applications U.S. Census Bureau State Data Centers and Census Information Centers March 5, 2013 .

Examples of Administrative Records Data Federal Data Medicare Indian Health Service Internal Revenue Service Three different files from Housing and Urban Development Selective Service National Change of Address Temporary Assistance for Needy Families Commercial data Data from 5 vendors including Corelogic, Targus, and Experian State Data Supplemental Nutrition Assistance Program Women, Infants, and Children Driver’s License data 2

Record Linkage Assign unique person identifiers called Protected Identification Keys (PIKs) and address identifiers to administrative records (AR) as well as census data Person identifiers are assigned using information such as SSN, name, date of birth, address Unique identifiers facilitate unduplication and linkage of records 3

Research Example - 2010 Census Match Study Objective – compare AR to the 2010 Census to assess the quality and coverage of AR Findings - AR match to 92.6 percent of addresses and 88.2 percent of people in the 2010 Census 4

Match Ratio of 2010 Census and Administrative Records Addresses by County

Percentage of 2010 Census Persons with PIKs and 2010 Census-AR Match Ratios: Hispanic Origin 6

Percentage of 2010 Census Persons with PIKs and 2010 Census-AR Match Ratios: Race 7

Percentage of 2010 Census Persons with PIKs and 2010 Census-AR Match Ratios: Age 8

Percentage of 2010 Census Persons with PIKs and 2010 Census-AR Match Ratios: Gender 9

Match Ratio of 2010 Census and Administrative Records Persons by County

2020 Research and Testing Program Assisting with Nonresponse Followup Operations Update the Master Address File Improving quality control Contact frame 11

Surveys and AR Sampling frame Contact frame Assist with item imputation Replacement of items on surveys Understand the quality of collected data 12

Thank You! sonya.rastogi@census.gov 13