This dissertation research intends to document methods for measuring and analyzing urban poverty in developing Cities by using Nairobi as my primary case. Through recoding and aggregating Census data, I propose to construct a composite material poverty index using principal components analysis. Next, I will build a 2SLS (two stage least square regression) model to identify the most significant determinants of material poverty. Finally, a cross- sectional regression analysis will be undertaken to examine the effect of living in a slum and residential segregation of slums from non-slums on local child mortality rate. The findings will have a three-fold implication for anti-poverty or anti-slum practices. First, a composite material poverty index has a distinctively empirical utility for the direct measurement of the living conditions of the urban poor and slum dwellers. Second, lower population density significantly decreases material poverty , which lends some support to anti-slum strategies aiming to de-densify the slum areas. Lastly, de- segregating slum dwellers from non-slum dwellers is effective at least from a health perspective.

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