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Session 3 The register of addresses and buildings – a combination of different registers

Session 3 The register of addresses and buildings – a combination of different registers. UNECE-Eurostat Expert Group Meeting on Censuses Using Registers Susanne Stiglmayr, Census Division Federal Statistical Office of Germany. Employment registers 35 million data records.

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Session 3 The register of addresses and buildings – a combination of different registers

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  1. Session 3The register of addresses and buildings – a combination of different registers UNECE-Eurostat Expert Group Meeting on Censuses Using Registers Susanne Stiglmayr, Census DivisionFederal Statistical Office of Germany

  2. Employment registers 35 million data records Population registers 88 million data records • Household generating procedure38.5 million households • Correction of register errors • Overcoverage/undercoverage • Variableintegration Clarificationof implausiblecases Result: data recordstypical of the census Census 2011: overview Steering file – Register of addresses and buildings Census of buildings and housing 17.5 million owners ofbuildings/dwellings Data collection for special facilities 2 million persons Linking andchecks for multipleregistration Supplementarysample survey max. 10% of thepopulation Federal Statistical Office, Germany

  3. Functions pursuant to the 2011 Census Preparation Act, Section 2, Subsection 2: Steering function in respect of primary data surveys Sampling frame for sample survey Completeness checks for buildings, dwellings and persons Linking of different data sources and co-ordination of survey components Creating a basis for spatial analyses of census results Register of addresses and buildings (AGR) Federal Statistical Office, Germany

  4. Data acquisition: using registers in place MR Data of resident‘s registration offices ~ 86 entries contains demographic and geographical information BA Data of the Federal Employment Agency~ 35 entries contains employment variables GAB Geo-referenced address data ~ 21 entries contains geo-coordinates Federal Statistical Office, Germany

  5. MRST BAST GABST AGR The setup of the AGR – overview MR BA GAB Standardisation Referencing Federal Statistical Office, Germany

  6. Data checks Preprocessing Decomposing the address data into address components Standardisation of the address information Harmonisation Referencing the street names at street level Adjustment of changing address identifiers Merging The setup of the AGR Federal Statistical Office, Germany

  7. The quality assurance of the AGR • Using different registers for building up the AGR • Classification of addresses • Checking of addresses which are only in one source • Classification of addresses as “address with housing space” • Integration of update deliveries • Installation of an application for updating the AGR • Integration of new addresses • Editing of address identifiers Federal Statistical Office, Germany

  8. Conclusion • Necessity of a basic register for the 2011 Census model • Challenges of the AGR • Combining data from different data sources at the level of addresses without numerical identifiers • Future prospects • Using standard address identifiers in the administrative registers • Setting up a permanent register of buildings and dwellings Federal Statistical Office, Germany

  9. Federal Statistical Office, Germany

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