The local supply and household choice data available in the 2012 and 2019 NSECE provides the best possible data basis for estimating a model of child care demand that considers spatial variation in both child care supply and demand, and does so across geographic settings that vary by density and transportation networks. This project extends our own previous work estimating child care demand models using state and local administrative data. We will use statistical methods that identify the relevance of household contextual factors in the likelihood of selecting specific local providers, of how these factors trade off against one another, and how these tradeoffs differ depending on household characteristics and circumstances. This emphasizes the fact that accessibility is multidimensional and depends on a match between locally available providers and individual households’ needs. (author abstract)