1. Quality assurance in Population and Housing Census-The case of Ghana
UN Reg. Workshop on the 2020 World Programme on P&H Censuses- Lagos, Nigeria
8th -11 May, 2017

2. Introduction Ghana conducted its latest census in 2010
Final results of the census was released in 2012 ( provisional results in Feb. 2011)
Other reports produced from the census data included:
National Analytical Report, Regional and District Analytical Reports, Post Enumeration Survey (PES) Report, 13 monographs and a Census Atlas

3. Why Quality Assurance in P&H Census?
So that census data is of minimal error/high quality data
Can help reduce cost (mapping, training and enumeration)
Results can be released in good time
Results would be accepted by all stakeholders
8/5/2019

4. Quality Assurance processes
Broad consultations with stakeholders in the selection of topics-relevant topics selected
Involvement of stakeholders in the design of census instruments (questionnaires, manuals, etc.)
Involvement of stakeholders in census mapping
Early start of census mapping
Effective supervision in the delineation of EA maps
8/5/2019

5. Quality Assurance processes
Effective supervision in the production and printing of EA maps
Test census questions and carry out pilot census
Recruit high caliber field staff
Carry out sufficient and effective training of field staff
Involve stakeholders in enumeration
Put in place EA tracking system

6. Quality Assurance processes
Effective supervision of data collection (1:5)-supervisors required to edit all questionnaires and conduct spot checks
Issue certificate of enumeration to floating population
Stickers on walls to indicate enumeration has been done
Involvement of external supervisors/monitors
Set-up call centres where queries from the public are addressed

7. Quality Assurance processes
In addition to the normal control measures, quality control teams were set up after the end of enumeration to check on listing and enumeration in selected areas in the case of the 2010 PHC
Timely choice and testing of technology for data processing OR data collection equipment
Control forms for movement of field logistics, especially questionnaires
Evaluation of data quality using PES and demographic methods

8. Challenges in undertaking QA
Funding, leading to :
delays in the completion of census mapping
inadequate no. of supervisors/monitors
delays in the conduct of PES
delays in the choice of technology for data processing OR data collection equipment

9. Thank you for your attention