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									USING CENSUS AND HOUSEHOLD SURVEY DATA FOR
POVERTY MAPPING AND OTHER DEVELOPMENTAL
ATTRIBUTES

                                             BY
                                     FRANCIS M. MUNENE
                                          KENYA


1.0 Introduction

       1.1 Historical perspective of Kenyan Census Taking– brief overview

       1.2 Structure of the Presentation

This presentation is divided into 4 parts:-

Part 1 attempts to describe briefly the processes we went through in developing an integrated
multi-information system (IMIS).
Part2 demonstrate the population and GIS structural framework and their linkages.
Part3 looks at potential capabilities of each framework, citing tangible achievements, constraints,
and way forward in terms of planned activities while in Part 4, I shall be making a synthesized
overview of the utility of some of the key census products.

These parts are key determinants into the final integration process as will be seen later in my
discussion.


2.0 Development Of Integrated Multi Information System (IMIS)

Briefly, the development of the Kenyan IMIS encompass 4 steps:

      Development of population database
      Development of GIS database
      Integration of population and GIS database
      Creation of local and wide area network


2.1 Structures of The 1999 and 1989 Kenya Population and Housing Census Database
Country

 Province A
 Province B



                                                 1
       Division 1
       Division 2
       Division 16

              Location 1
              Location 2

                      Sub-location 1
                      Sub-location 2

                             EA1
                             EA2

3.     SOME KEY POTENTIAL CAPABILITIES OF EACH FRAMEWORK

3.1    Population database

        1. Flexibility to in-build parallel databases from previous censuses – 1962, 1969,
           1979,1989 and 1999,
        2. Hook household based survey data, micro-level/ mini-case studies datasets onto the
census database. Some of the data sets planned to be incorporated into this framework include
the following:
           o The 1992, 1994 and 1997 Welfare monitoring survey data series for monitoring
               poverty situation in the country,
           o The Kenya demographic and Health Survey data series (1989, 1993 and 1998)
           o The 1998 Multiple indicator survey data,
           o Labor force and child module data (2000)
           o Datasets from various national registration systems,

                     Civil & vital registration
                     Motor vehicle registration
                     Migration
                     National Hospital insurance fund

       3. In-built summary indicators for trend analysis and performance monitoring.

3.2    GIS database

              -   Development of GIS Database involved the Process of digitizing all
                  administrative area boundaries up to the EA level and interfacing the same
                  with key demographic and socio-economic attributes.

              -   So far, we have digitized all the 69 districts up to Sub-location level,




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              -   Ultimately aim is to have an institutionalized computer assisted cartography
                  (CAC)


4.0 UTILITY OF SOME KEY CENSUS PRODUCTS

The census products generated from the integration of census data and survey data have been
used for various purposes:

a) Development Planning
 Through the integration of population census data, household based data and administrative
records data, it has been possible to generate:

           o Poverty maps for Kenya.
           o Distribution map by key socio-economic attributes.
           o Map out:
           o High HIV/AIDS prevalence areas. This information has been useful for resource
             allocation, mounting special preventive programmes and for targeting vulnerable
             population sub-groups.
           o Informal settlements/slums
           o Generation of monitorable development indicators for monitoring and evaluation
             of national development programmes.

b)     Facilitation of In-Depth Census Analysis
Kenya has in the past experience continuous administrative boundary changes as a result it has
not been possible to monitor demographic profiles for the country.

              -   Consequently, through use of the GIS products, it has been possible to
                  reconstruct population profiles for 1979 and 1989 population censuses using
                  the 1999 Administrative area structures as a base. This information is
                  important for deriving fertility and mortality estimates, which are key inputs
                  into population projection model.

c)     Monitoring And Evaluation

              -   Mapping of high crime spot areas using crime data generated through the law
                  enforcement agencies – police, law courts etc.,

d)     Administrative, political and social arena
            - Products facilitated quick and effective responses to issues related to:
                     i. Parliamentary questions
                    ii. Boundary disputes,
                   iii. Queries on population matters,
                   iv. Allocation of local authority transfer funds and other uses.

4.1.   Constraints



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               -   High maintenance cost of the Network
               -   Procurement of the GIS software
               -   Inadequate skills on optimal use of GPS
               -   Delays in the digitization of the EAs


Conclusion:
 Due to its wide and invaluable benefits accrued from census products, statistical agencies could
use these products to argue for or negotiate for enhanced funding from governments, private
sector institutions, influential individuals and donor communities alike.




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