Abstract
This paper presents a unique set of data on health and housing in Tianjin, China, disaggregated by subdistricts. Data are collected from various bureaus and integrated with a geographical data base. The data are useful for health planners to Identify target subpopulations with poor health, but also for city planners to strengthen planning for infrastructure development according to the priority needs of subpopulation groups. The paper illustrates a method of identifying high-risk areas so that targeting of resources to address priority problems can be more effective and efficient.
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