1. EGM – Population & Housing Censuses Eurostat / UNECE - Geneva - 24/25 May 2012 Building the address register for the 2011 Census (England & Wales) Alistair Calder – Office for National Statistics

2. Role of addresses in Census 2011 Match Field check Evidence base & rules Summary Address Register for 2011

3. THE CENSUS FIELD OPERATION Post Out Special & CEs Post Back Internet Back CCS Follow Up Enforce -ment Questionnaire Tracking MATCH & check etc ADDRESS REGISTER

4. THE CENSUS FIELD OPERATION Post Out Post Back Follow Up Internet Back Special & CEs MATCH & check etc ADDRESS REGISTER Enforce -ment CCS Questionnaire Tracking Addresses

5. Why so important for 2011? Post-out to deliver 95% of questionnaires At the centre of questionnaire tracking –focus effort on non response –target follow-up resources more effectively Key source for use in QA of census estimates –Address frame feeds in to estimation

6. Address Register for 2011 Aims To create: best possible register of households from available sources and fieldwork a register that stakeholders were confident in a register that is best value for money > 99% complete <1% duplication A list designed specifically for Census

7. So what’s the problem ? just use the national address list !

8. Postcode Address File PAF Valuation Office National Land & Property Gazetteer NLPG Address Layer 2 AL2 LLPGs x 348 Council Tax TV License Utilities Emerg. Services etc

9. PAF & AL2 NLPG

10. PAF NLPG 95 % ? ? ?

11. PAF NLPG 95 % ? ? ? ? new CEs

12. Three main streams of work  Match and validate Match of 3 national address files Royal Mail – PAF (& Ordnance Survey – AL2) Local Government Information House - NLPG (and VOA data) Unresolved address anomalies sent to suppliers and Local Authorities (LAs) ONS field checks 15% of E&W

13. Targeting the Address Check finding the suspect addresses

14. Where to check ??

15. Electricity - Multiple meters

16. Electoral register - Multiple names

17. Anomalies between sources (10%) - proxy for address complexity Multiple meters / Multiple names from electoral role within addresses (4%) – proxy for complex structures + Stratified random sample (1%) Criteria for checking

20. The Evidence Base and evidence codes

21. Evidence base ….. Evidence IARMFLA3rd? 9 High Street 1L1F1R1L1L1G 10 High Street0C1F1R0C1L1G 11 High Street0S1F0X1L1L0X 11a High Street0X1F0X0X0X0X 11b High Street0X1F0X0X1D0X Flat 1/11 High Street1L0X1R1L0X1G Flat 2/11 High Street1L0X1R1L0X1G

22. Evidence base ….. Evidence IARMFLA3rd? 9 High Street 1L1F1R1L1L1G 10 High Street0C1F1R0C1L1G 11 High Street0S1F0X1L1L0X 11a High Street0X1F0X0X0X0X 11b High Street0X1F0X0X1D0X Flat 1/11 High Street1L0X1R1L0X1G Flat 2/11 High Street1L0X1R1L0X1G

23. Evidence base ….. Evidence IARMFLA3rd? 9 High Street 1L1F1R1L1L1G 10 High Street0C1F1R0C1L1G 11 High Street0S1F0X1L1L0X 11a High Street0X1F0X0X0X0X 11b High Street0X1F0X0X1D0X Flat 1/11 High Street1L0X1R1L0X1G Flat 2/11 High Street1L0X1R1L0X1G

24. Evidence base ….. Evidence IARMFLA3rd? 9 High Street 1L1F1R1L1L1G 10 High Street0C1F1R0C1L1G 11 High Street0S1F0X1L1L0X 11a High Street0X1F0X0X0X0X 11b High Street0X1F0X0X1D0X Flat 1/11 High Street1L0X1R1L0X1G Flat 2/11 High Street1L0X1R1L0X1G

25. Evidence base ….. Evidence IARMFLA3rd? 9 High Street 1L1F1R1L1L1G 10 High Street0C1F1R0C1L1G 11 High Street0S1F0X1L1L0X 11a High Street0X1F0X0X0X0X 11b High Street0X1F0X0X1D0X Flat 1/11 High Street1L0X1R1L0X1G Flat 2/11 High Street1L0X1R1L0X1G

27.  Keep the data up-to-date ! Constantly match in Change Pick up change late  Research, Data Cleaning & Other Sources Clerical processes Desktop comparison, GIS, Internet, Aerial photography Other Sources Vacant houses, electoral register, utility meters Three main streams of work

28. Royal Mail vs. ONS Address Check Non-Residential vs. Residential Flats above shops, Complex addresses 221 Cannock Road, Cannock, WS11 5DD Recommendation: send a questionnaire

29. Royal Mail vs. ONS Address Check Non-Residential vs. Residential Flats above shops, Complex addresses 221 Cannock Road, Cannock, WS11 5DD Recommendation: send a questionnaire

30. Communal Establishments

31. Strong prioritisation Population Individual size of units (so local relevance) Target populations (hard to count) Split of types Complex – Universities, prisons (100% field) Standard – Hospitals, hostels etc (100% field) Simple – Hotels, B&Bs care homes (phone) Targeted field check Used local input / QA Communals

35. New approach to Census Building the address register Matching several datasets Targeted checking in field Use of evidence base and rules Communal establishments Dealt with separately Students done differently Result – considered highly successful Hit targets for over and under coverage Summary