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Data Quality and the ACS Introduction to the ACS Aggregator

Data Quality and the ACS Introduction to the ACS Aggregator. Lisa Neidert January 18, 2012 PSC Data Workshop Ann Arbor, MI. Synopsis . Census long-form data were not as good as you thought ACS data are worse Collapse cells or combine geographies Tool: ACS Aggregator [Beta].

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Data Quality and the ACS Introduction to the ACS Aggregator

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  1. Data Quality and the ACSIntroduction to the ACS Aggregator Lisa Neidert January 18, 2012 PSC Data Workshop Ann Arbor, MI

  2. Synopsis • Census long-form data were not as good as you thought • ACS data are worse • Collapse cells or combine geographies • Tool: ACS Aggregator [Beta]

  3. ACS Data Quality Issues • Sample Size • 1 in 8 instead of 1 in 6 • Mixed Mode • Non-response is a ~1 in 3 sample • Uneven response across geography • Population Controls • Only at state/county • Long-form data had short-form

  4. Geographic Variation in ACS mail response: by pseudo county (2006-2008)

  5. Census Bureau Solutions • Increase sample size • 3.4 million households • Re-distribute sample • Small census tracts + • Low response areas + • Large census tracts; high response areas – • Research • Education

  6. PSC ACS Aggregator • Helps users re-calibrate margins of error after combining geographies or collapsing cells

  7. Statistical Review • Compass Series: Technical Appendix

  8. ACS Aggregator

  9. Practice Data • Seattle: Capitol Hill Neighborhood • Table B11001

  10. Combine Geographies • Enter Name, Estimate, MOE for all geographies

  11. Collapse Cells • Enter Name, Estimate, MOE for each column • Geographies will be repeated

  12. Questions/Comments • E-mail lisan@umich.edu

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