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International Seminar on Population and Housing Censuses: Beyond the 2010 Round. 5 Marzo 2007. Emerging methodologies OF Continuous use of registers and geocoded databases In The Italian population and housing census Fabio Crescenzi , Methods and Techniques for Censuses
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International Seminar on Population and Housing Censuses: Beyond the 2010 Round 5 Marzo 2007 Emerging methodologies OF Continuous use of registers and geocoded databases In The Italian population and housing census Fabio Crescenzi, Methods and Techniques for Censuses Istat (National Institute of Statistics), Italy Seoul, 27-29 November 2012
Pressure for a greater use of administrative sources the need of frequently updated and georeferenced data + Operational complexity of decennial census = Pressure for a greater use of administrative sources Combinedcensus Registerbasedcensus
The 2011 CombinedCensus mail out using Municipal Population Registers (LAC), multi-mode data collection, field correction of coverage errors, short form/long form strategy in Municipalities with more than 20.000 inhabitants.
Multi-mode data collection • Online: To fill the questionnaire online, using the provided password (33,4%) • Post office: toReturn the paper questionnaire to any post office in Italy (22,6%) • Municipal Centre: toreturn the paper questionnaire to one of the Municipal Collection Centres (31,7%) • Enumerator: to return the paper questionnaire to enumerator (12,3 %)
Web Monitoring and Enumerators field recovery Web census management system. A web management system was devoted to the census field work (SGR - survey management system). Enumerators recovery • non-responders • unregistered individuals The number of enumerators dropped from 108.000 in 2001 to 68.000 in 2011 (-37%).
Maximum use of administrative and statistical data sources + Rolling Sample Surveys to correct coverage errors and to supplement data = Georeferenced census data every year
The quality of the sources Quality errors (Accuracy, Completeness, Update status, Coherence among sources, Accuracy of Geocoding) are a burden For the use of administrative sourcesfor census purposes
ARCHIMEDE, Archive of Economicand Demo-social Micro-data Infrastructure that will provide anonymisedmicro data to Public Administrations, researchers and users.Geo-referenced data up to the enumeration area level Longitudinal data to study the evolution over time
The force generated by the care of errors (Archimede Burning Mirrors) Sources on individuals and households Integrated System of microdata strength of care = max C-sample and D-sample survey Georeferencing errors
Integrated Microdata Repository Municipal Register Other Administrative Sources Data of census survey Continuous Census of Households Individuals Information System on Population • Demographic and Social Surveys D-sample C-sample ARCHIMEDE Infrastructure of Georeferenced microdata of individuals and households Georeferencing
Give me a fulcrum and I will move the world ... (Archimede)
The leverage effect of continuous census The cumulation of data collected by administrative sources and cared by sample annual survey can Produce data capable of satisfying the needs of a decennial census and the annual needs of users
Searching the best leverage • Maximising the use of local administrative sources • Increasing the care of errors • Looking for the best design of sample surveys
C-sample and D-sample to correct coverage errors and to supplement data The waves of two different sample surveys (the C-sample and the D-sample survey) will be used in crucial stages of a continuous process designed to achieve, separately, the two main goals of census operations: i) correct the counting of usualresidents to produce the key data on demographicstructure of population and households; ii) supplement socio economic data to produce census data hypercubes . D-sample C-sample
Georeferencing and mapping • A key role is given to the ANSC, the georeferenced national register of streets and addresses • Census mapping has to be made consistent with the requirements of a continuous census
D-sample. Plan of data accumulations by output area size Reference year of estimates Depend on OUTPUT AREA SIZE