Risk perceptions of extreme heat events at the state, county, and census tract level in the U.S.

Creators

Peter D. Howe, Utah State UniversityFollow
Jennifer R. Marlon, Yale UniversityFollow
Xinran Wang, Yale UniversityFollow
Anthony Leiserowitz, Yale UniversityFollow

Description

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

OCLC

1143694072

Document Type

Dataset

DCMI Type

Dataset

File Format

.csv, .txt

Publication Date

2-26-2019

Funder

NSF, Division of Social and Economic Sciences

Publisher

Utah State University

Award Number

NSF, Division of Social and Economic Sciences 1459903

Award Title

Collaborative Research: Multi-scale Modeling of Public Perceptions of Heat Wave Risk

Methodology

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.

Referenced by

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

Start Date

6-13-2015

End Date

10-17-2015

Location

Dataset covers all U.S. states and the District of Columbia, including all populated census tracts within these jurisdictions.

Language

eng

Code Lists

See README file

Comments

Description of attached files:

"riskp_state_nt_table.csv" contains estimates of the heat risk perception index for the adult population (18+) at the U.S. state level for 2015.

"riskp_county_nt_table.csv" contains estimates of the heat risk perception index for the adult population (18+) at the county level for 2015.

"riskp_state_nt_table.csv" contains estimates of the heat risk perception index for the adult population (18+) at the census tract level for 2015.

Disciplines

Other Social and Behavioral Sciences

License

This work is licensed under a Creative Commons Attribution 4.0 License.

Recommended Citation

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

Checksum

7437ab22e805f7967c643f4ae463e20b