The value of model-based approaches increases when moving to finer levels of spatial disaggregation. Detailed poverty maps are powerful tools for targeting social funds and for the design of safety nets. Work in this field should include supporting informed use of these estimates, by publishing quality assessments (e.g. standard errors, relative sampling errors) and providing guidance to data users. This should include evaluating whether three-year averages are significantly more reliable than yearly estimates, given the survey data available, and whether administrative sources could be used for the regional income indicators.