NO2 Land-Use Regression Model Estimate Data

The Health and Retirement Study Contextual Data Resource (HRS-CDR) is a collection of user-friendly datasets that enable researchers to study the impact of place on health and well-being among HRS respondents. The HRS-CDR data products are created by a joint project of the University of Southern California and the University of Michigan, sponsored by the National Institute on Aging (NIA_R21AG045625).

The NO2 land-use regression model estimate data includes national-scale estimates of NO2 in the United States. It provides predictions for annual average NO2 concentrations (ppb) using the land-use regression models. Data are available at census tract level and organized by time (year: 2000-2010).

Product Details

Product Type
HRS Contextual Data Resource Series (HRS-CDR)
Latest Release December 2018 (v1.0)
Documentation and Links
  1. HRS Contextual Data Resources are available only to users of the MiCDA Enclave VDI, and are only available for use with restricted data geographic information products.
  2. The geographic information contained in this dataset is not included in any HRS public file and may not be merged with any other Restricted Dataset without the explicit written permission of HRS.