Transcript SLOVENIAN REGISTER-BASED CENSUS – administrative versus statistical approach Danilo Dolenc Statistical Office of the Republic of Slovenia.

SLOVENIAN
REGISTER-BASED
CENSUS –
administrative versus
statistical approach
Danilo Dolenc
Statistical 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 used
 Pre-printed questionnaires
 10 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

Dwellings
 Real
Estate Register
– Established in 2007 by Surveying and Mapping Authority
Sources by topic (1)

About 30 sources are identified

POPULATION TOPICS
 Central
Population Register
 Register of Foreigners
 2002 Census
 Statistical 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




The main advantage


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
Possibility of direct derivation of household composition /
type of family for the most persons
Housekeeping concept
Data integration - input
RER data
DN 3
DN 1
BA
DN 4
DN 2
HR data
DN HN RELATION
3
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 - output
HH RELATION
ID
DN 4
DN 3
2 HH (x3
and x4)
1 HH (x1)
x1 Reference person
x1 Wife
FAMILY
TYPE
Husband-wife
with children
x1 Child
x2 Reference person
Lone mother
x2 Mother
DN 1
Vacant
DN 2
1 HH (x 2)
X3 Reference person
-*
X4 Reference person
Lone father
**
X4 Son
x4 Grandchild
* One-person household
BA
** 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


Complexity of relations in households


Not used for statistical purposes yet
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