This repository contains all data outputs related to reasearch that analyzed General Plans from cities across the state of California to understand what topics are adressed and the spacial distribution of topic rerpresentation.  We assembles a database of 421 California city-level General Plans and used Natural Language Processing to read their contents.  The plans contained over 60 discrete topics and wer generally optimistic in sentiment.  A quarter of the topics were reagionally specific.  Housing is a unique subset of planning topics, and plans for affordable housing are not evenly shared across sites.