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Poverty Mapping Poverty Mapping 23 - 26 July 2001 23 - 26 July 2001 PARIS21 Workshop for East Africa & The Great PARIS21 Workshop for East Africa & The Great Horn Horn Kampala, Uganda Kampala, Uganda

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

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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 - PowerPoint PPT Presentation

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  • Poverty Mapping

    23 - 26 July 2001PARIS21 Workshop for East Africa & The Great HornKampala, Uganda

  • Whyto capture heterogeneity within regionsidentify geographical factors that influence povertyimprove targeting of resources and interventionsimprove communication about poverty conditions Poverty Profilepoverty maps are part of poverty profilecomprehensive poverty profile needed to balance picture

    Poverty Mapping

  • 3 Common approachesMoney metricBasic NeedsHuman capabilitiesWho is poor?

  • Basic Need Indicators

    Concept based on deprivation of requirements for basic human needsIndicators include:foodshelteraccess to basic social services e.g.schooling, health servicessafe water, sanitation,employment opportunities

  • Human capabilities

    Concept based on absence of basic human capabilities to function at a minimally acceptable level within society (see UN definition of Poverty)Emphasis on peoples abilities & opportunities to :enjoy long, healthy livesto be literateand to participate freely in their societyIndicators include:life expectancyliteracy ratesmalnutrition etc

  • Money metric Indicators

    Based on income or consumption expenditureAssumption:individuals or households are poor if their income/consumption falls below a certain threshold ( or a set poverty line)

  • Used money-metric measure as proxy for household welfareimputed 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

    Method used

  • National

  • Eastern Cape : District Level

  • Free State : District Level

  • Northern Province : District Level

  • KwaZulu-Natal : District Level

  • Gauteng : District Level

  • Mpumalanga: District Level

  • North Cape : District Level

  • North West : District Level

  • Western Cape : District Level

  • Where are the poor to be found?3 mdBloemThaba NchuBotshabelo

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

    What are the major characteristics of the poor?

  • Access to Basic Services

    Locality

    All households

    No proper sanitation

    No refuse removal

    No electricity

    No safe water (tap)

    Bloem

    95,967

    28%

    22%

    26%

    18%

    Mangaung

    45,868

    42%

    26%

    42%

    27%

    Botshabelo

    39,446

    93%

    18%

    71%

    59%

    Thaba Nchu

    18,524

    81%

    66%

    34%

    70%

    Selosesha

    2,802

    1%

    1%

    4%

    0.5%

  • Crime analysissocio-economic correlates of crime hot spotsLocal government resource allocationsequitable shares allocation modelCholera outbreakworking with health dept to identify communities at risk and inform health education programs

    Using Poverty Maps

  • Cholera Outbreak in SA

  • Focus on poor as a groupSupport design & development of evidence-based poverty reduction strategiesGuide to resource allocation Tools for monitoring & evaluating progressOpportunities for national/regional capacity buildingOpportunities for service providers to offer integrated services

    Benefits