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Why to capture heterogeneity within regions identify geographical factors that influence poverty

Poverty Mapping 23 - 26 July 2001 PARIS21 Workshop for East Africa & The Great Horn Kampala, Uganda. Poverty Mapping. Why to capture heterogeneity within regions identify geographical factors that influence poverty improve targeting of resources and interventions

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Why to capture heterogeneity within regions identify geographical factors that influence poverty

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  1. Poverty Mapping23 - 26 July 2001PARIS21 Workshop for East Africa & The Great HornKampala, Uganda

  2. Poverty Mapping • Why • to capture heterogeneity within regions • identify geographical factors that influence poverty • improve targeting of resources and interventions • improve communication about poverty conditions • Poverty Profile • poverty maps are part of poverty profile • comprehensive poverty profile needed to balance picture

  3. Who is poor? • 3 Common approaches • Money metric • Basic Needs • Human capabilities

  4. Method used • Used money-metric measure as proxy for household welfare • imputed consumption expenditure (obtained by combining census & survey data) • Imputation based on readily observable household characteristics e.g. age,sex, race, household assets, access to services, educational status etc • obtained poverty rates for 3 levels of geography

  5. National

  6. Eastern Cape : District Level

  7. Free State : District Level

  8. Northern Province : District Level

  9. KwaZulu-Natal : District Level

  10. Gauteng : District Level

  11. Mpumalanga: District Level

  12. North Cape : District Level

  13. North West : District Level

  14. Western Cape : District Level

  15. Where are the poor to be found? 3 md Bloem Botshabelo Thaba Nchu

  16. What are the major characteristics of the poor? Using Census records, the major characteristics of those identified as poor can be obtained e.g. • Demographic profile • Basic needs profile • Human capability profile • Data from other service providers eg location of schools, access to public transport, location of clinics is needed to obtain a comprehensive profile.

  17. Using Poverty Maps • Crime analysis • socio-economic correlates of crime hot spots • Local government resource allocations • equitable shares allocation model • Cholera outbreak • working with health dept to identify communities at risk and inform health education programs

  18. Cholera Outbreak in SA

  19. Benefits • Focus on poor as a group • Support design & development of evidence-based poverty reduction strategies • Guide to resource allocation • Tools for monitoring & evaluating progress • Opportunities for national/regional capacity building • Opportunities for service providers to offer integrated services

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