Two-wave panel survey dataset on who feels affected by Hurricane Florence

Talbot M Andrews; Oleg Smirnov

doi:10.1016/j.dib.2020.106361

Two-wave panel survey dataset on who feels affected by Hurricane Florence

Data Brief. 2020 Sep 29:33:106361. doi: 10.1016/j.dib.2020.106361. eCollection 2020 Dec.

Authors

Talbot M Andrews¹, Oleg Smirnov¹

Affiliation

¹ Department of Political Science, Stony Brook University, Center for Behavioral Political Economy, 100 Nicolls Rd, Stony Brook, NY 11794 USA.

Abstract

Feeling affected by climate change related natural disasters is an important predictor of engaging in climate change mitigation behavior. We therefore collected data to identify who felt affected by Hurricane Florence, which made landfall in the United States on September 14^th, 2018. In the months before Hurricane Florence, we collected survey responses from a nationally representative sample of United States citizens. We measured their attitudes towards climate change, emotional predispositions, and demographic information. Then, in the days after the hurricane, we re-contacted respondents to identify whether or not they felt personally affected by Hurricane Florence. These data can be used first to identify variables associated with climate change attitudes, and second to identify the traits that predispose individuals to feel affected by climate change related disasters.

Keywords: Climate change; Disaster; Empathy; Helping; Hurricane; Perspective taking; Public opinion; Survey.