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2011 Census Data Quality Assurance Strategy: Plans and developments for the 2009 Rehearsal and 2011 Census Paula Guy BSPS 10 th September 2009. Contents. QA Strategy: objectives & prioritisation QA Strategy: components Comparator sources Demographic analysis Census Rehearsal Next steps.

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  1. 2011 Census Data Quality Assurance Strategy: Plans and developments for the 2009 Rehearsal and 2011 Census Paula Guy BSPS 10th September 2009

  2. Contents • QA Strategy: objectives & prioritisation • QA Strategy: components • Comparator sources • Demographic analysis • Census Rehearsal • Next steps

  3. Design quality Operational quality management Quality assurance Quality measurement and reporting High quality population statistics (as defined by the CSFs) Quality management Context: 2011 Quality Model

  4. Improvements since 2001 • Enhanced address register • Better management information • Wider enumeration base • More questions re: migration and second addresses

  5. Data QA Strategy objectives: • Ensure 2011 outputs are fit for purpose and meet user expectations • Understand differences between Census population estimates and rolled-forward MYEs • Ensure Census population characteristics are accurate • Transparency • Work in partnership with stakeholders • Metadata including quality measures published with data

  6. Planning and prioritisation of data QA to meet these objectives: • Monitor information and data from field operations • Identify and monitor data at key processing stages • Prioritise QA of data items critical for Census population estimates, including coverage adjustment • Prioritise LADs where data uncertainty is concentrated, including uncertainty around MYEs, and process them early • Flexible deployment of QA resource • Automation of QA checks as far as possible

  7. Topic QA • To quality assure detailed level Census data to address errors such as respondent or enumerator error or those introduced by processes such as data capture, edit or imputation. Includes item-level data, low level geographies and multivariate analysis of specified population subgroups. Demographic QA • To quality assure national, regional and Local Authority District census estimates, drawing on external sources, using demographic indicators and guided by the input and direction of an expert QA panel

  8. Overlaps between Topic & Demographic QA Priority subgroups • Young men • International migrants (short and long term) • Students • Residents and staff in Communal Establishments • Minority ethnic groups • Private renters • People with a second address • Babies under 1 • Over 85s • Armed forces

  9. Overlaps between Topic & Demographic QA cont … ‘Priority LAs’ identified by areas with: • Lots of holiday homes • Caravan sites • Second residences • High multi-occupancy • Regeneration areas • Low enumeration or high variability of response • High population change

  10. Internet data capture Scanning & recognition Data load Reconcile multiple responses within a HH Apply derivations & filters Item imputation Demographic QA Topic QA Coverage estimation Coverage imputation Post-adjustment imputation Apply complex Derived Vars Assign output geographies Disclosure control adjustment Data flows: Questionnaire tracking, Address Register, Field reports, Administrative and Survey sources Demographic and Topic QA

  11. LA Estimate QA Panel Accepts Level 2 Topic & Demo QA checks Level 1 Topic & Demo QA checks QA Panel Rejects QA Panel Rejects Implement contingency Local Authority estimates QA process QA Panel Reviews LA, Regional and cumulative totals Proceed to coverage imputation

  12. Comparator data Black = Within age group, all people are counted Grey = Within age group, looking at characteristics White = Looking at sub-set of population

  13. Additional sources for QA • International Passenger Survey • ONS survey data sources • University halls of residence capacity data • CLG Gypsy/ traveller numbers • Address Register • Council tax data • CORE HA and LAD properties and tenants data

  14. Demographic analysis at national & sub-national level • Age/sex specific fertility rates and summary measures • Age/sex specific mortality rates and summary measures • Age specific sex ratios • Age/sex in-migration rates • Cohort change over time across censuses

  15. 2001 Sex ratio validation: Southampton example Source: ‘A Quality Assurance and Contingency Strategy for the One Number Census’, ONS

  16. Census Rehearsal • Basic demographic analyses • Ethnicity and marital status by age & sex • Frequency of households and CEs, including HH by tenure • CE residents by age • Home Armed Forces by age and sex • Prisoners by age and sex • Students by age and sex • Migration – LT, ST, Internal, International and Cross-border by age and sex • Caravans/caravan residents • Traveller counts

  17. Next steps • Rehearsal • Plan for LA engagement • Contingency strategy and admin data linkage • Determine QA checks for 2011 • Topic expert input • Assess and secure comparator data sources • Methodological input on tolerances and diagnostic ranges

  18. Thank you The 2011 Census Data Quality Assurance Strategy is now available at: http:// www.ons.gov.uk / census / 2011-census / process-info / data-quality-assurance / index.html

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