SLOVENIAN REGISTER-BASED CENSUS –

administrative versus statistical approach

Danilo DolencStatistical Office of the

Republic of Slovenia

Introduction

Slovenia is an example of change of main census method

First step – 2002 Census Combined method of enumeration

Register based (data on persons only)About 10 administrative and statistical sources

have been usedPre-printed questionnaires10 topics entirely taken from registers (not

included in questionnaire) Complete field enumeration (dwellings,

households, persons – only data not available in sources)

Next step – new sources Three main administrative sources

Persons CPR – available since 1986

Households Household Register (electronic form since 2007)

– Paper forms exit before – but not used for statistical purposes

DwellingsReal Estate Register

– Established in 2007 by Surveying and Mapping Authority

Sources by topic (1) About 30 sources are identified

POPULATION TOPICSCentral Population RegisterRegister of Foreigners2002 CensusStatistical demographic surveys on birth and

migration Identificators: SID* and BA_DN**

* SID – statistical identificator (substitute for PIN)** BA – building address DN - dwelling number

Sources by topic (2) ACTIVITY

Statistical Register on Employment Business Register Unemployment Register Statistical survey on students Statistical survey on scholarship Income Tax Register Database on Beneficiaries of Pensions Social and Health Security database Database on Social Benefits

Identificator: SID

Sources by topic (3) EDUCATION

Statistical Register on Employment Unemployment database Statistical survey on students Statistical survey on scholarship Statistical survey on graduates, master’s and

doctoral graduates 2002 Census General and vocational matura examination

database Chamber’s examination databases

Identificator: SID

Sources by topic (4) HOUSEHOLD TOPICS

Household Register (HR)– Based on statement made by household member(s)

DWELLING TOPICS Real Estate Register (RER)

– Will be also used for taxation in the future

Identificators: SID and BA_DN

Household Register Relevant data

Dwelling number (DN) (running number in the scope of address - BA) - also in RER and CPR

Household number (HN) (running number in the scope of address - BA) - only in HR

Relation to the reference person of household

The main advantage Possibility of direct derivation of household composition /

type of family for the most persons

Housekeeping concept

DN 3 DN 4

DN 1 DN 2

BA

DN HN RELATION3 1 Mother

4 3 Reference person

2 2 Child

4 4 Grandchild

4 4 Child

2 2 Reference person

3 1 Reference person

2 2 Wife

4 4 Reference person

BA

Data integration - input

RER dataHR data

DN 31 HH (x1)

DN 42 HH (x3 and x4)

DN 1Vacant

DN 21 HH (x 2)

BA

HH ID

RELATION FAMILY TYPE

x1 Reference person Husband-wife with childrenx1 Wife

x1 Child

x2 Reference person Lone mother

x2 Mother

X3 Reference person - *

X4 Reference person Lone father **X4 Son

x4 Grandchild

Data integration - output

* One-person household ** Lone father household

with other persons

Households quality assessment Administrative obstacles

Legislation Household data only for permanent residence

Statistical concepts versus administrative ones Definition of usual residence No data on collective households

Inconsistency of source data Relation to reference person and age Relation to reference person and marital status

Incompleteness of source data Missing data on dwelling number

Households quality assessment Statistical obstacles

Recently established source Not used for statistical purposes yet

Complexity of relations in households Multi-family households

Comparability of the results to previous censuses or current field surveys

New concept/definition of household Underestimation of consensual unions

‘’Broken’’ households No reference person Reference person is under certain age

Results of test database Direct derivation of household/family types

Simple rules – 80 % Complex criteria – 6 %

Reasons for non-derivation Records without household number – 4 % Records without relation to RP – 2 % Records with unknown relation to RP – 7 % Fault records - only 1 %

Improvement of the process Introduction of quality indicators

Measuring every change of input data

Use of statistical methods Setting up households Distinguish institutional households Consensual unions

Conclusion Structural changes of size of household

and types of families are expected Huge increase of one-person households

Focus on developing statistical methods Improving quality in close coopeation with

administrative source Feedback in aggregate form Common interest