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Coverage assessment and adjustment methodology
Owen Abbott
Methodology Directorate, ONS
Agenda
• Introduction• 2001 One Number Census• 2011 Strategy• The Census Coverage Survey (CCS)• Estimation• Overcount• Adjustment• Summary
What is the problem?
• Despite best efforts, Census won’t count every household or person
• It will also count some people twice• Why is that a problem?
- In 2001, we estimated that 3 million persons (6%) missed- Need robust census estimates - counts not good enough
• Further problem:- The undercount is not evenly spread- Inner Cities, Deprived areas, Young persons
The problem
• This is a problem that all census taking countries face
• We can try really hard to maximise coverage• But we will still miss households and people• So what do we do?
- We must have a robust method for measuring coverage
- It must provide accurate estimates at LA level- It must be an integral part of the census process
The 2001 Census experience
• Estimated 1.5 million households missed• 3 million persons missed (most from the
missing households but some from counted households)
• Subsequent studies estimated a further 0.3 million missed
The 2001 Census experience
Underenumeration of Census by agegroup
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
16.0%
0 1-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+
Agegroup
ON
C/C
en
su
s
Males Females
The 2001 Census experience
The One Number Census
• In 2001, One Number Census methodology was developed- Large Census Coverage Survey- Matching, Capture Recapture, Ratio estimation- Small area estimation to get LA totals- Imputation of missed households and persons
• In 2011 we want to build on the ONC, as broadly it was very successful
2011 Aims and Objectives
• Measure undercount• Measure overcount• Address lessons from 2001• Take into account changes
- In census design- In the population of interest
• Accuracy to be as good or better than in 2001- 0.2 per cent confidence interval nationally
2011 Coverage Assessment Overview
Estimation
Matching
Adjustment
2011 Census
Quality Assurance
Census Coverage
Survey
The Census Coverage Survey
• Key component• Similar to 2001 CCS:
- Large Sample Survey- 320,000 Households- Sample of small areas (postcodes)- Focus on counting the population- 6 weeks after census day- Short paper based interview- Independent of Census
The Census Coverage Survey
• Sample design similar to 2001- Two stage stratified by geography and a ‘hard to
count’ index- First sample Output Areas- Then select postcodes within each OA- Sample size determined by optimal allocation
• Improvements for 2011- Sample stratified by Local Authority- More refined HtC index- Better Design variable
Estimation
• Estimation based on Dual System Estimation- Used mainly for wildlife applications- Requires two counts of the population
• Assumptions- Independence- Homogeneity- No matching errors
• Applied at very low level
Estimation
• Use matched Census + CCS data• DSE estimates adjustment for those missed
in both Census and CCSCounted By CCSYes No
Counted Yes n11 n10 n1+
By Census No n01 n00 n0+
n+1 n+0 n++
DSE count for a postcode:
n++ = n1+ n+1 n11
Estimation
• Generalise sample DSE estimates- Use standard ratio type estimators
• Problem – not enough sample in most LAs• Solution – post-stratify LAs into groups
- 2011 equivalent of Estimation Areas- Group LAs by type, not geography
• Then small area model to get LA estimates
Census
DSE
Measuring Overcount
• Estimate separately• Not yet developed methodology• Sources likely to be:
- CCS- Matching Census data
• Weight individuals in the DSEs to integrate into estimation methodology
Coverage adjustment
• Imputation of households and persons estimated to have been missed
• Planning on similar process to that in 2001- Model coverage probabilities- Calibrate weights- Impute households (with people)- Impute persons into counted households
• Looking at improvements in modelling steps
Summary
• Measuring Coverage very important• Integral part of the UK Census process• In the UK looking to build on 2001:
- Improvements across the board