1 / 22

2010 Census Coverage Measurement State Data Center Conference October 15, 2009 Tamara Adams US Census Bureau

2010 Census Coverage Measurement State Data Center Conference October 15, 2009 Tamara Adams US Census Bureau. CCM – Census Coverage Measurement. Provides estimates of coverage error for people in housing units and for housing units: Excludes group quarters and remote Alaska

butch
Download Presentation

2010 Census Coverage Measurement State Data Center Conference October 15, 2009 Tamara Adams US Census Bureau

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 2010 Census Coverage MeasurementState Data Center ConferenceOctober 15, 2009Tamara AdamsUS Census Bureau

  2. CCM – Census Coverage Measurement • Provides estimates of coverage error for people in housing units and for housing units: • Excludes group quarters and remote Alaska • Includes Puerto Rico • No intent to adjust the census

  3. Net Error • Uses dual-system estimation, a sample capture-recapture technique • Used in 1980, 1990, and 2000 • Provides estimates of net undercount and overcount • Key demographic groups • Specific geographic areas • Requires independence from census

  4. Components of Census Coverage Error • New objective for 2010 • Provides estimates of: • Omissions – those missed by the census • Correct enumerations – those included correctly by the census • Erroneous enumerations – those included incorrectly by the census • Imputations • Key demographic groups and by census operations

  5. Correct Measurement Error • 2000 coverage measurement program failed to detect erroneous enumerations • Many were census duplicates • CCM Goal: Reduce nonsampling error from the 2000 Accuracy and Coverage Evaluation

  6. Sample Design of 2010 CCM • Area sample of block clusters – groups of census collection blocks • Population (P) Sample: Independent sample of housing units in block clusters. Recapture sample. • Enumeration (E) Sample: Census enumerations in the same sample block clusters

  7. Independent Listing • Independent listing of area sample • Canvass block cluster • List addresses of housing units and potential housing units • August-December 2009

  8. Person Interview • Laptop interview at independently listed addresses • Personal visit • Gather independent roster of people • Probing questions about places where the person: • Should have been counted • Could have been counted • Send data to headquarters for next phase

  9. Person Matching and Followup • Match people collected in CCM to census person list • Computer • Clerical • Search throughout the country • Computer nationwide search • Clerical search at places the person could have been counted from the person interview • Person Followup for discrepancies (personal visit and telephone, paper-based)

  10. Current Plans for Estimation Domains for 2010 CCM • Estimation domains have not been finalized so products shown here are current plans • Break into 3 Major Groupings: • Demographic/housing unit characteristic groups • Geographic areas • Census operation results

  11. Race and Hispanic Origin Estimates • Multiple results provided: • Seven Race/Origin domains used in 2000 A.C.E. • Race marked alone or in combination • Hispanic Origin

  12. Examples of Estimation Domains for Demographic Groupings for People in Housing Units

  13. Examples of Estimation Domains for Geographic Areas for People in Housing Units

  14. Examples of Estimation Domains for Census Operations for People in Housing Units

  15. What about those people who should have been enumerated somewhere else? • A table to show people who should been enumerated outside our block cluster search area. • Same county • Different county in the same state • Different state

  16. Examples of Estimation Domains for HU Characteristics for Housing Units

  17. Examples of Estimation Domains for Geographic Areas for Housing Units 1Similar criteria mentioned for people will apply to housing units as well

  18. Examples of Estimation Domains for Census Operations for Housing Units

  19. Housing units that were geocoded incorrectly • A table to show housing unit geocoding results in relation to block cluster search area • Geocoded to block cluster • Geocoded one block outside of the cluster • Geocoded beyond one block outside of the cluster

  20. Reducing Nonsampling Error in the CCM • Part of Decennial review being conducted by Director Groves • In process of identifying areas in the CCM where efforts can be made to reduce nonsampling error • Reducing the CCM sample size is being considered

  21. 2010 Evaluations and Assessments • Evaluations • Goals • Examine results of 2010 • Improve 2020 • Assessments • Every operation

  22. Thanks! tamara.s.adams@census.gov

More Related