EGM – Population & Housing Censuses Eurostat / UNECE - Geneva - 24/25 May 2012 Building the address register for the 2011 Census.

Download Report

Transcript EGM – Population & Housing Censuses Eurostat / UNECE - Geneva - 24/25 May 2012 Building the address register for the 2011 Census.

EGM – Population & Housing Censuses
Eurostat / UNECE - Geneva - 24/25 May 2012
Building the address register
for the 2011 Census (England & Wales)
Alistair Calder – Office for National Statistics
Address Register for 2011
•
•
•
•
•
Role of addresses in Census 2011
Match
Field check
Evidence base & rules
Summary
THE CENSUS FIELD OPERATION
MATCH
& check
etc
ADDRESS
REGISTER
Enforce
-ment
Special
& CEs
Post
Out
Post
Back
Questionnaire
Tracking
Internet
Back
Follow
Up
CCS
THE CENSUS FIELD OPERATION
Addresses
MATCH
& check
etc
ADDRESS
REGISTER
Enforce
-ment
Special
& CEs
Post
Out
Post
Back
Questionnaire
Tracking
Internet
Back
Follow
Up
CCS
Why so important for 2011?
• Post-out to deliver 95% of questionnaires
• At the centre of questionnaire tracking
– focus effort on non response
– target follow-up resources more effectively
• Key source for use in QA of census estimates
– Address frame feeds in to estimation
Address Register for 2011
Aims
To create:
• best possible register of households from
available sources and fieldwork
• a register that stakeholders were confident in
• a register that is best value for money
> 99% complete <1% duplication
A list designed specifically for Census
So what’s the problem ?
just use the national address list !
LLPGs
x 348
LLPGs
Postcode
Address
File
PAF
National Land
& Property
Gazetteer
NLPG
Emerg.
Services
Council
Tax
Address
Layer 2
AL2
Valuation
Office
Utilities
etc
TV
License
PAF
& AL2
NLPG
PAF
95%??
?
NLPG
PAF
95%??
new
?
?
NLPG
CEs
Three main streams of work
 Match and validate
• Match of 3 national address files
• Royal Mail – PAF (& Ordnance Survey – AL2)
• Local Government Information House - NLPG
• (and VOA data)
• Unresolved address anomalies sent to
suppliers and Local Authorities (LAs)
• ONS field checks 15% of E&W
Targeting the Address Check
finding the suspect addresses
Where to check ??
Electricity - Multiple meters
Electoral register - Multiple names
Criteria for checking
• Anomalies between sources (10%)
- proxy for address complexity
• Multiple meters / Multiple names from
electoral role within addresses (4%)
– proxy for complex structures
+
• Stratified random sample (1%)
The Evidence Base
and evidence codes
Evidence base …..
Evidence
IA
RM
F
LA
3rd
?
9 High Street
1L
1F
1R
1L
1L
1G
10 High Street
0C
1F
1R
0C
1L
1G
11 High Street
0S
1F
0X
1L
1L
0X
11a High Street
0X
1F
0X
0X
0X
0X
11b High Street
0X
1F
0X
0X
1D
0X
Flat 1/11 High Street
1L
0X
1R
1L
0X
1G
Flat 2/11 High Street
1L
0X
1R
1L
0X
1G
Evidence base …..
Evidence
IA
RM
F
LA
3rd
?
9 High Street
1L
1F
1R
1L
1L
1G
10 High Street
0C
1F
1R
0C
1L
1G
11 High Street
0S
1F
0X
1L
1L
0X
11a High Street
0X
1F
0X
0X
0X
0X
11b High Street
0X
1F
0X
0X
1D
0X
Flat 1/11 High Street
1L
0X
1R
1L
0X
1G
Flat 2/11 High Street
1L
0X
1R
1L
0X
1G
Evidence base …..
Evidence
IA
RM
F
LA
3rd
?
9 High Street
1L
1F
1R
1L
1L
1G
10 High Street
0C
1F
1R
0C
1L
1G
11 High Street
0S
1F
0X
1L
1L
0X
11a High Street
0X
1F
0X
0X
0X
0X
11b High Street
0X
1F
0X
0X
1D
0X
Flat 1/11 High Street
1L
0X
1R
1L
0X
1G
Flat 2/11 High Street
1L
0X
1R
1L
0X
1G
Evidence base …..
Evidence
IA
RM
F
LA
3rd
?
9 High Street
1L
1F
1R
1L
1L
1G
10 High Street
0C
1F
1R
0C
1L
1G
11 High Street
0S
1F
0X
1L
1L
0X
11a High Street
0X
1F
0X
0X
0X
0X
11b High Street
0X
1F
0X
0X
1D
0X
Flat 1/11 High Street
1L
0X
1R
1L
0X
1G
Flat 2/11 High Street
1L
0X
1R
1L
0X
1G
Evidence base …..
Evidence
IA
RM
F
LA
3rd
?
9 High Street
1L
1F
1R
1L
1L
1G
10 High Street
0C
1F
1R
0C
1L
1G
11 High Street
0S
1F
0X
1L
1L
0X
11a High Street
0X
1F
0X
0X
0X
0X
11b High Street
0X
1F
0X
0X
1D
0X
Flat 1/11 High Street
1L
0X
1R
1L
0X
1G
Flat 2/11 High Street
1L
0X
1R
1L
0X
1G
Three main streams of work
 Keep the data up-to-date !
• Constantly match in Change
• Pick up change late
 Research, Data Cleaning & Other Sources
• Clerical processes Desktop comparison, GIS,
Internet, Aerial photography
• Other Sources Vacant houses, electoral register,
utility meters
Royal Mail vs. ONS Address Check
Non-Residential vs. Residential
Flats above shops, Complex addresses
221 Cannock Road, Cannock, WS11 5DD
Recommendation: send a questionnaire
Royal Mail vs. ONS Address Check
Non-Residential vs. Residential
Flats above shops, Complex addresses
221 Cannock Road, Cannock, WS11 5DD
Recommendation: send a questionnaire
Communal
Establishments
Communals
• Strong prioritisation
Population
Individual size of units (so local relevance)
Target populations (hard to count)
• Split of types
Complex – Universities, prisons (100% field)
Standard – Hospitals, hostels etc (100% field)
Simple – Hotels, B&Bs care homes (phone)
• Targeted field check
• Used local input / QA
Summary
• New approach to Census
• Building the address register
• Matching several datasets
• Targeted checking in field
• Use of evidence base and rules
• Communal establishments
• Dealt with separately
• Students done differently
• Result – considered highly successful
• Hit targets for over and under coverage