Data on small geographic areas that can be easily accessed and updated have become essential for targeting public health programs and services. Disaggregating data at the sub-county or sub-city level has the potential to reveal disparities not otherwise evident for large geographies. As important as such data are, the methods to produce data on small geographic areas are challenging and resource-intensive, and little description and analysis of such tools exists.
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