The datasets include individual-level BMI in Phoenix, AZ and Portland, OR obtained from the state DMVs, greenery along walkable roads within 500, 1000, 1500, and 2000 network buffers, and covariates. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: EnviroAtlas data can be assessed through https://www.epa.gov/enviroatlas Individual-level residential location and body mass index can be requested from state DMVs. Navteq street data can be assessed through EPA internal network by EPA Region. Format: Data used in this study include: 1) EnviroAtlas 1m landcover data (Raster) 2) EnviroAtlas metrics related to street greenery (Raster) 3) Boundaries of neighborhood extents (buffers) (Vector, polygon) 4) Navteq street dataset (Vector, polyline) 5) Individual residential addresses (CSV) and its geocoded points (Vector, point) 6) Individual-level body mass index (CSV) 7) EnviroAtlas Intersection Density of Walkable Roads (Raster) 8) EnviroAtlas Distance to a Park Entrance (Raster) 9) EnviroAtlas Percent Population below the Adjusted Threshold for Quality of Life (CSV) 10) EnviroAtlas Percent Population with Income Twice below the Poverty Level (CSV) 11) EnviroAtlas Percent Non-White Population (CSV) 12) Age and Sex.

This dataset is associated with the following publication: Tsai, W., A.S. Davis, and L.E. Jackson. Associations between types of greenery along neighborhood roads and weight status in different climates. Urban Forestry & Urban Greening. Elsevier B.V., Amsterdam, NETHERLANDS, 41: 104-107, (2019).