A comprehensive data dictionary is delivered with each project. The data dictionary describes the neighborhood definition used, aggregation methods used, the origin and provenance of the underlying data used to create the delivered variables, the naming scheme for the variables, each variable’s name and how it was calculated. Variables are organized in the dictionary by domain (e.g. food environment) and the domain is described, as are any special considerations for using variables in the domain.
The best way to get a sense of the types of data that are available and the types of measures that can be created is to take a look at some of our data dictionaries or read our paper on the use of neighborhood data in the National Children’s Study (available here in PubmedCentral).
This project was conducted in partnership with NYCDOHMH with funding from NIDDK and added neighborhood built and social environmental data to the NYCDOHMH Community Health Surveys (CHS) from 2002 to 2006. The CHS only collects data on residential zip codes and so this data set defined neighborhoods at the zip code level.