1. 30TH May 2017 Dar-es-Salaam, Tanzania
UN Regional Workshop on 2020 World Programme on Censuses Quality Assurance in Population and Housing Censuses
SAMWEL A. OGOLA
KENYA NATIONAL BUREAU OF STATISTICS
30TH May Dar-es-Salaam, Tanzania

2. OUTLINE Background Kenya’s Census History (m) Quality of Census Data
Census Quality Assurance Programme
Evaluation of Census Data Quality
Access to Census Data

3. Background
A population census is the total process of collecting, compiling, evaluating, analyzing and publishing or otherwise disseminating demographic, economic, and social data pertaining, at a specified time, to all persons in a country or in a well delimited part of a country.
Follows the UN_P & R Definition

4. Background …. The first modern census was undertaken in 1948
During the 2010 Round of Censuses Kenya undertook the census in 2009, which was the 7th (and 5th decennial)
The enumerated population was in 2009 was 38.6 million
The projected population for 2017 is about 46.6 Million
Projected to the next census (2019) at 50 million

5. Kenya’s Census History (m)

6. Quality of Census Data In a census context, quality refers to Six
Census data quality focuses on the fitness for use of the information/data;
In a census context, quality refers to Six
Dimensions namely:-
relevance,
accuracy,
timeliness,
accessibility,
interpretability and
coherence.

7. Census Quality Assurance
An appropriate quality assurance and improvement system is needed as part of the census process
The system should be able to identify on time and
address most of the errors
The system should also allow room for improvement

8. Quality Assurance Programme
Design of census tools in consultation with stakeholders to ensure that;
only appropriate questions are in the questionnaire
the census topics are relevant to user needs
Recruitment and proper training of enumerators
Mapping the whole country
Production of high quality maps with proper boundaries and points of interests for ease of identification of the enumeration areas

9. Quality Assurance Programme …..
Proper publicity of the census process to enable the public to own and participate in the process
Release of the census results within the shortest time possible
Piloting both the tools for mapping and census enumeration
Development of edit specs to address the issue of coding and imputation

10. Monitoring Quality of Census Process
Variables to be used to measure quality of census process
Non response to census questions
Quality of staff recruited and training
Type of maps produced
Extent of coverage during enumeration
Types of publicity undertaken
Duration taken to release the census data

11. Evaluation of Census Data Quality
A population census cannot be a perfect operation
there will always be some errors, regardless of the methodology used
measures are taken to assure the best quality, in all phases of the census process;
Errors can be introduced during
data collection - by the enumerators/interviewers or by the respondents;
data processing;
Errors could be of coverage or content in nature.

12. Evaluation of Census Data Quality ….
A comprehensive census evaluation program
should estimate coverage and content errors, and
undertake an assessment of all phases of census operations,
to provide the users with a complete picture of the quality of the census.
During the 2019 KPHC,
Demographic techniques will be used to determine the;
Extent of coverage
Type and extent of content errors
Then an evaluation report will produced

13. Evaluation of Census Data Quality
Indicators for measuring data quality;
Extent of over or under coverage
Type and Extent of content errors
Frequency of request of the census data
When the census results are released
Preliminary results – 1 month after enumeration
Basic Reports – 6 months after enumeration
Thematic Reports – 1 year after enumeration
Feedback from users after the launch and dissemination

14. Access to Census Data
The 2019 KPHC data will be made available through;
National launch and regional disseminations
the Bureau’s website and other appropriate websites
various dissemination portals such as the IMIS
10% of the data will be made available through the website

15. Quality Reporting Channel
The quality team will composed of;
Monitors
Supervisors - to re-enumerate a number of sampled households from an EA
Coordinators
Secretariat