Project summary, description or abstract: This dataset contains model estimates of how Americans perceive the health risks of extreme heat events at the state, county, and census tract level in the U.S. Estimates are produced using a statistical model based on national survey data.
These data are associated with the following publication: Howe, Peter D., Jennifer R. Marlon, Xinran Wang, and Anthony Leiserowitz. “Public perceptions of the health risks of extreme heat across U.S. states, counties, and neighborhoods.” 2019. Proceedings of the National Academy of Sciences. www.pnas.org/cgi/doi/10.1073/pnas.1813145116
Author ORCID Identifier
Peter D Howe https://orcid.org/0000-0002-1555-3746
NSF, Division of Social and Economic Sciences
Utah State University
NSF, Division of Social and Economic Sciences 1459903
Collaborative Research: Multi-scale Modeling of Public Perceptions of Heat Wave Risk
Risk perception estimates are produced using a multilevel regression and post stratification (MRP) model based on national survey data (n = 9,217) collected in summer 2015. Estimates are based on a heat risk perception index that ranges from 0 to 100, with higher values indicating higher risk perceptions. People with higher risk perceptions were 1) more likely to think that a heat wave would occur in their community; 2) more likely to think that a heat wave, were it to happen in their community, would affect the health of themselves, their family, and others in their community; and 3) more worried about the effects of heat waves. See associated publications for details.
Data are associated with the following publication:
Howe, Peter D., Jennifer R. Marlon, Xinran Wang, and Anthony Leiserowitz. “Public perceptions of the health risks of extreme heat across U.S. states, counties, and neighborhoods.” 2019. Proceedings of the National Academy of Sciences. www.pnas.org/cgi/doi/10.1073/pnas.1813145116
Dataset covers all U.S. states and the District of Columbia, including all populated census tracts within these jurisdictions.
See README file
Other Social and Behavioral Sciences
This work is licensed under a Creative Commons Attribution 4.0 License.
Howe, P. D., Marlon, J. R., Wang, X., & Leiserowitz, A. (2019). Risk perceptions of extreme heat events at the state, county, and census tract level in the U.S. Utah State University. https://doi.org/10.26078/YR9W-N861
Additional Filesreadme.txt (3 kB)
riskp_tract_table.csv (7363 kB)
riskp_county_table.csv (308 kB)
riskp_state_table.csv (3 kB)