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

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

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

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

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

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

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

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

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