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

International Seminar on Population and Housing Censuses: Beyond the 2010 Round

Seoul, 27-29 November 2012

Pressure for a greater use of administrative sourcesPressure 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

Register based census

Combined census

The 2011 Combined CensusThe 2011 Combined Census

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: to Return the paper questionnaire to any post office in Italy (22,6%)

• Municipal Centre: to return 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 sourcesQuality errors (Accuracy, Completeness, Update status, Coherence among sources, Accuracy of Geocoding)

are a burden

For the use of administrative sourcesfor census purposes

The equilibrium of Archimedes

ARCHIMEDE, Archive of Economic and Demo-social Micro-data

Infrastructure that will provide anonymised micro data to Public Administrations, researchers and users.

Geo-referenced data up to the enumeration area level

Longitudinal data to study the evolution over time

C-sample andD-sample survey

Georeferencing

Integrated System of microdata

strength of care = max

Sources on individuals

and households

errors

The force generated by the care of errors (Archimede Burning Mirrors)

Other Administrative Sources

Other Administrative Sources

Integrated MicrodataRepository

InformationSystem on Population

MunicipalRegister

MunicipalRegister

ContinuousCensusof HouseholdsIndividuals

•Demographic and Social Surveys

•Demographic and Social Surveys

ARCHIMEDEInfrastructure of Georeferenced

microdata of individuals and

households

D-sampleC-sample

D-sampleC-sample

Georeferencing

Data of census surveyData of census survey

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

canProduce 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 errorsLooking for the best design of sample surveys

In the rotation movement the revolution

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 usual residents to produce the key data on demographic structure of population and households; ii) supplement socio economic data to produce census data hypercubes .

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

C-sample

Starting date 2016 Questionnaire Short – only data to count persons and

households

Tecnique Paperless CAPI

Sampling design Capture Recapture on about 650.000 households per year

Monitoring WEB (SGR)

D-sample

Sampling design Two stage – About 1.500.000 households per year

Questionnaire Long

Technique Paperless: CAWI and CAPI

Monitoring WEB (SGR)

D-sample. Plan of data accumulations by output area size

Output area size (inhab.)Number of years

Pooling IntervalCentral

year

>100.000 1 t t

35.000-100.000 3 t, (t-1), (t-2) (t-1)

<35.000 5 t, (t-1), (t-2), (t-3), (t-4)

(t-2)

D-sample. Dissemination Starting Plan