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Register-Based Census 2011 in Slovenia – Some Quality Aspects

Register-Based Census 2011 in Slovenia – Some Quality Aspects. Danilo Dolenc Statistical Office of the Republic of Slovenia. UNECE-Eurostat Expert Group Meeting on Censuses Using Registers , Geneva , 22-23 May 2012. Basic facts (1). Fully register- based census using data from

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Register-Based Census 2011 in Slovenia – Some Quality Aspects

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  1. Register-Based Census 2011 in Slovenia – Some QualityAspects Danilo Dolenc Statistical Office oftheRepublicofSlovenia UNECE-Eurostat ExpertGroupMeeting on Censuses UsingRegisters, Geneva, 22-23 May 2012

  2. Basicfacts (1) • Fully register-basedcensususingdatafrom • Administrative registers (5) • Statistical register (1) • Administrative databases (7) • Statistical surveys (full coverage) (6) • Organized as a project • Started in 2009 • Project teamconsistsof 6 employees • No permanentstaff • No outsourcing • No budget (savingsaround 14 mio EUR) • Census consideredas regularstatisticalsurvey

  3. Basicfacts (2) • Reference date 1 January 2011 • Three (four) stages of the statistical process following the availability of sources concluded by dissemination of data: • Basicdemographicdata (30 April 2011) • Producedquarterly • Householdsandfamilies (30 June 2011) • Otherpopulationtopics (30 December 2011) • Includingoccupieddwellings – preliminarydata • Housing (bytheendofJune 2012) • Delay due to the updated version of administrative data (Real Estate Register)

  4. Background • Four basic registers set up by SORS far ago • CPR for the first time used for statistics in 1986 • Dataalready used in 1991 and 2002 Censuses • Register of Spatial Units (address list) in 80‘s • Statistical Register on Employment – from 1986 • In 2002 data on occupation, industry, placeofworktakenover • Business Register in 1976 • Two missing registers available after 2002 • Real Estate Register established in 2007 • Household Register computerized • CPR supplemented with dwellings number • Mini project of SORS and Ministry of Interior in 2010

  5. Preparatoryphase (1) • Analyses and evaluation • Data sources • Quality of data • Methodological and processing solutions • Trial census carried out in 2010 - main findings • Inconsistencies in Household Register • Easy to improvequality • Solved by Ministry of the Interior on the basis of SORS guidelines • Detectederrorsshouldbecorrected in primarysource

  6. Preparatoryphase (2) • Missingdwellingnumbers (DN) in CPR • More thanhalfofpopulationliving in multi-dwellingbuildings • Twomainactivitiesforimprovementundertaken • Automated determination of DN on thebasisofownershipandresidence • 49,000 letters sent to residents without DN • Responserate 75 % includingreturninglettersby post Still 12.3 % ofmissing DN in inputdatabase

  7. Preparatoryphase (3) • Unsatisfactory quality of Real Estate Register data • Themain problem in wholestatisticalprocess • SORS analyses sent to register keeper • Public data – ownershadchance to check and changedata • Data on ownershipdepends on long-lasting legal matters Re-updatingoffinaldatabase – selectedtopics

  8. Linkage ofdata (1) • Identifiers crucial forintegrationofpersons, households and dwellings • PIN (transformed to SID before the process) • Basic identifier for most of linkage regarding persons • Householdnumber • Housekeepingconcept is implemented • Not available for foreigners - 2.1% HN missing • Relation to the reference personcouldbeconsideredas identifier (keyforfamilygeneration) • Dwelling number • The share of missing data still high – 12.3% • Address • Unique identifier of every building

  9. Linkage ofdata (2) • Statisticalprocessalmostcompletelyautomated • Verycomplexrulesforimputingkeyidentifiers • Interface for manual editing incorporated in thestatistical process • Better quality – but only 1% records • Householdformationofforeigners • Familyformation • Multi-memberhouseholds • Householdswithoutdata on biologicalparents or spouses

  10. Qualityindicators - identifiers

  11. Current activity status • Population aged 15+ • Data integration stage

  12. Imputation • Almostallmissingdataimputed • Exceptoccupation,industryand status in employmentforpersonsworkingabroad (e. g. dailycommuters) • Twomainmethods used • Automatedcorrections on thebasisofexistingcorrelateddata (e.g. activity status byhealthinsurancecode) • Hot-deckimputation • Imputationrates – lowerthan in 2002 Census

  13. Where should we be heading ? • Integration into social statistics • Census data used for regular surveys (e.g. country ob birth of parents, immigrant background) • Coverage • Cooperation with MI to improve over-registration • Geo-referencing • Free of charge on the web – application KASPeR • Qualty of processes and outputs • Every single change of data from the input databases to the final census database is recorded • Introducing manual interface for improving quality • Common tools – internal integration of IT processes

  14. Over-registration • Common problem of register-basedsystems • Missingdata on activity status used as indicator • Datafrom 8 sources used • For 1,25 % ofpopulation no evidence in anysource • Overestimatedpopulationgroups • Foreignerswithpermanentresidence • Workingage population (30-44 years) – workingabroad? • Administrative survivors (over 94 years) • Finalestimation 0.9% • Verycomparablewithhouseholdssurveys • No needfor post-enumerationsurvey

  15. Conclusion • Twomainconditionsforinputdataquality • Closecooperationwith register keepers • Feedbackimplemented in primarysource • Permanentuseofregisters • Not onlyforstatisticalpurposes • In future no more ‘‘Census‘‘ butregularannual/periodicalsurvey • Every 3-4 yearscomplete‘‘Census‘‘ • Everyyeareducation,activity, migrationdata • Twice a yearbasicdemographicdataincludingcitizenship • New term insteadof ‘‘Census‘‘ ???

  16. Thank you for your attention!

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