Patterns and Determinants of Poverty Transitions among Poor Urban Households in Nairobi, Kenya

We examine the patterns and determinants of household transitions into and out of poverty among the urban poor in two Nairobi informal settlements in Kenya between 2006 and 2009. We find worsening household poverty over time, with the proportion of poor households increasing from 51.2 percent in 200...

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Bibliographic Details
Published inAfrican development review Vol. 26; no. 1; pp. 172 - 185
Main Authors Mberu, Blessing Uchenna, Ciera, James Mbugua, Elungata, Patricia, Ezeh, Alex Chika
Format Journal Article
LanguageEnglish
Published Oxford Blackwell Publishing Ltd 01.03.2014
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Summary:We examine the patterns and determinants of household transitions into and out of poverty among the urban poor in two Nairobi informal settlements in Kenya between 2006 and 2009. We find worsening household poverty over time, with the proportion of poor households increasing from 51.2 percent in 2006 to 54.9 percent by the end of 2009. Over the period, 34.5 percent of households remained in chronic poverty, 20.4 percent fell into poverty, 16.7 percent successfully escaped poverty and 28.4 percent fully remained out of poverty. We identify slum of residence, gender and marital status of household head, attainment of at least secondary education by household head, consistent engagement in formal employment, household size and the incidence of births within a household, among key determinants of household poverty transitions. Our results underscore the need for anti‐poverty policy options around provision of economic opportunities, addressing disadvantages of female‐headed households, promoting access to at least secondary education, smaller household norms and birth control among the urban poor. While the outcomes are consistent with some national trends, the need for the design and implementation of slum and sub‐group specific anti‐poverty policies are significantly evident.
Bibliography:ArticleID:AFDR12073
Work on this paper is supported by the INDEPTH Network through the INDEPTH Network Fertility Family Planning Grant #214.428. The authors also acknowledge the support of the Bill and Melinda Gates Foundation through Grant ID# OPP1021893 for the Nairobi Urban Health and Demographic Surveillance System run by the African Population and Health Research Center, Nairobi Kenya.
Nairobi Urban Health and Demographic Surveillance System run by the African Population and Health Research Center, Nairobi Kenya
ark:/67375/WNG-KW4SGQM7-8
Bill and Melinda Gates Foundation - No. OPP1021893
istex:F89BA6DD9EDAAAEC295BBD8B99CE38F51E603D8D
INDEPTH Network Fertility Family Planning - No. 214.428
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ISSN:1017-6772
1467-8268
DOI:10.1111/1467-8268.12073