State of Place quantifies why people are drawn to live, work, play, and dwell in places. We use vision language models to extract data on 140+ street-level built environment features (e.g., sidewalks, benches, trees, crosswalks, etc.) from digital images. We pull this “micro-scale” data together into a score from 0-100 that we call the “State of Place Index.” And we break that down into 10 sub-indices that measure key aspects of urban design that have been empirically linked to people’s behaviors, decisions, feelings, and perceptions about places. These include: form, density, connectivity, proximity to non-residential destinations, parks and public spaces, recreational facilities, pedestrian & bicyclist amenities, traffic safety, aesthetics and personal safety.