PRESENTED BY: THABANG MPEKA  May 2006  To evaluate the coverage as well as content errors of the 2006 population and housing census.

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Transcript PRESENTED BY: THABANG MPEKA  May 2006  To evaluate the coverage as well as content errors of the 2006 population and housing census.

PRESENTED BY: THABANG MPEKA

May 2006

To evaluate the coverage as well as content
errors of the 2006 population and housing
census.
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National Statistics Office (BOS) planned and
conducted the PES.
No independent organization was involved.
PES team was made up of six members, who
were never involved in census planning.
PES funding was part of census programme.
Funding was adequate.
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Enumerators were recruited from 2006
population census constituency supervisors.
Best performers during population census
were recruited.
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3 Days for Enumerators
5 Days for Supervisors
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One stage stratified cluster sample design
Lesotho stratified by Urban and Rural.
2006 Census enumeration areas were the
primary sampling units (PSUs).
All households in the selected E.As were
enumerated.
224 E.As was the sample size of the first
stage units.
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National
Rural
Urban
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Selected supervisors and enumerators were in
different districts from the ones in which they
were working during census data collection.
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Was done manually
Matching rules documented
Field reconciliation followed the matching
exercise.
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Coverage rate
Net coverage rate
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Rate of Agreement
Gross Error Rate
Net Difference Rate
Index of Inconsistency
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Report not ready but the draft report is
available.
3 years to release PES analytical report
PES results were never used to adjust the
census figures.
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Independence between PES and Census is
essential
Gained some knowledge and experience in
planning the survey, designing the sample,
developing the questionnaire, matching
procedures, reconciliation process, up to
report writing.
Our next census date is on 01 April 2016
and PES May 2016
 Objectives of 2016 PES will be;
To quantitatively evaluate accuracy of the
census in terms of coverage and content
error at national, rural and urban strata.
To provide concrete statistical basis for
adjustment of census data
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To provide information on sources and causes
of errors
To evaluate quality of Enumeration Areas as
sampling units for the future intercensal
household based surveys