Appropriate data management as the basis of effective performance reporting is crucial if sectorinstitutions are to track whether they achieve their objectives. This paper shows how a post process ofreadily available data to construct water poverty maps can be used to identify effectively the most waterpoor communities, and thus improve the targeting of sector development policies and projects. To thisend, water poverty takes its definition from the Water Poverty Index, which combines biophysical, social,economic and environmental data in one single and comparable number to produce a holistic and userfriendlytool for policy making. The study is based on a comprehensive record of the water sourcesdeveloped by UNICEF in Turkana District, in Kenya. The main conclusion is that such an index allowsdecision-makers to determine and target priority needs for interventions in the water sector, whileassessing the impacts of sector-related development policies.
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