Andy Sumner - Institute of Development Studies

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IDS WORKING PAPER 349AcknowledgementsThe author would like to thank in particular Ricardo Santos for research assistanceand the following people for comments and discussion on earlier drafts: SimonMaxwell, Stephan Klasen, Terry McKinley, Andrew Fischer, Andrew Rogerson, JonLomoy, Richard Manning, Richard Jolly, Jeni Klugman, Peter Edwards, Alan Winters,Nick Dyer, Jo McCrae, and Chris Pyecroft.AcronymsCISCPIAEIUGDFGNIHICIBRDICPIDAIMFLDCLICLSMSMICMPIODAPPPSSAUMICWEOWDIWDRCommonwealth of Independent StatesCountry Policy and Institutional AssessmentEconomist Intelligence UnitGlobal Development Financegross national incomehigher-income countryInternational Bank for Reconstruction and DevelopmentInternational Comparison ProgrammeInternational Development AssociationInternational Monetary Fundleast developed countrylower-income countryLiving Standards Measurement Studymiddle-income countryMulti-dimensional Poverty Indexoverseas development assistancepurchasing power paritysub-Saharan Africaupper middle-income countryWorld Economic OutlookWorld Development IndicatorsWorld Development Report08
IDS WORKING PAPER 3491 IntroductionIf development is about poverty reduction, where the poor live is a crucial question.This paper seeks to add to the existing analysis of global poverty estimates byregion by estimating the global distribution of the world’s poor by low-incomecountry (LIC) and middle-income country (MIC) classification and by fragile andconflict-affected states (FCAS).It is recognised that the endeavour of this paper is an inherently imprecise exercisebut it is argued that the general pattern generated is robust enough to warrantfurther investigation and discussion. Indeed, the results raise all sorts of questionsabout the definitions of country categories, about the future of poverty reduction inheterogeneous contexts, the role of inequality and structural societal change, andabout aid and development policy. The full set of poverty estimates for 2007–8 bymonetary, nutritional, educational and multi-dimensional poverty measures areannexed to this paper (and the Excel charts for both 1988–90 and 2007–8 areavailable from the author on request).2 Existing estimates of global povertyThe World Bank’s most recent systematic estimate of global poverty is that byChen and Ravallion (2008). They updated the international poverty line (based onthe average of a sample of developing countries) with a new US$1.25 per capita/day international poverty line (see Table 2.1). At the outset one should note thatthe US$1.25/day level and its precursors have faced considerable criticism for arange of reasons (see Fischer 2010). We use the US$1.25 level in this paperbecause, for better or worse, it is MDG 1a and we compare the findings wegenerate with the global poverty distribution generated with MDG 1b (nutrition),MDG 2 (education) and the new Multi-dimensional Poverty measure.Table 2.1 The history of the US$1.25 International Poverty Line (IPL)IPL Year published Basis of IPL and estimatesUS$1 (1985 PPP) 1990 WDR Countries with survey data had anaverage poverty line of $0.75–$1(1985 PPP). 22 LSMS householdsurveys covering 75% world population.US$1.08 (1993 PPP) 2000/1 WDR IPL updated with new PPP data fromICP for 117 countries.US$1.25 (2005 PPP) Chen and Ravallion (2008) IPL updated to $1.25 as average ofpoverty lines in 15 poorest countries.New PPP data from 146 countries(including China for the first time). 700surveys for 115 countries covering91% world population.Sources: Chen and Ravallion (2004, 2007, 2008).Notes: PPP = purchasing power parity; WDR = World Development Report; ICP = International ComparisonProgramme; LSMS = Living Standards Measurement Programme.09
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Andy Sumner - Institute of Development Studies

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