COVIDSTATES Repository

All materials uploaded here are licensed under a Creative Commons Attribution 4.0 International License.

Public data from the COVID-19 Consortium for Understanding the Public’s Policy Preferences Across States (www.covidstates.org)

A joint project of:

• The Network Science Institute of Northeastern University
• The Shorenstein Center on Media, Politics, and Public Policy of Harvard University
• Harvard Medical School, Harvard University
• The School of Communication & Information, Rutgers University
• Department of Political Science, Northwestern University

Note that updated state-by-state data on health behavior and executive approval is now available through an interactive dashboard at https://lazerlab.shinyapps.io/Behaviors_During_COVID

Suvey waves

• Wave 1: N = 19,489, Time period: 4/16/2020-4/30/2020
• Wave 2: N =20,305, Time period: 5/2/2020-5/15/2020
• Wave 3: N =18,103, Time period: 5/16/2020-5/31/2020
• Wave 4: N = 2,090, Time period: 6/5/20-6/12/20
• Wave 5: N = 22,470, Time period: 6/12/2020-6/28/2020
• Wave 6: N = 1,561, Time period: 7/3/2020-7/10/2020
• Wave 7: N = 19,058, Time period: 7/10/2020-7/26/2020
• Wave 8: N = 2,029, Time period: 7/31/2020 - 8/7/2020
• Wave 9: N = 21,196, Time period: 8/7/2020-8/26/2020
• Wave 10: N = 20,433, Time period: 9/04/2020-9/28/2020
• Wave 11: N = 18,002, Time period: 10/2/2020-10/23/2020
• Wave 12: N = 12,540 Time period: 10/23/20-11/03/2020
• Wave 13: N = 24,019, Time period: 11/03/2020-11/30/2020
• Wave 14: N = 25,640, Time period: 12/16/2020-01/10/2021

Waves 4, 6, 8, and 15 have smaller samples (2000-2500 respondents) and can not be used for state-level analysis.

Suvey weights

The data was collected by PureSpectrum via an online, nonprobability sample, with state-level representative quotas for race/ethnicity, age, and gender. In addition to balancing on these dimensions, we reweighted our data using demographic characteristics to match the U.S. population with respect to race/ethnicity, age, gender, education, and living in urban, suburban, or rural areas. For national-level analysis, data weights were based on interlocking age/gender/race & ethnicity categories, as well as on education, U.S. region, and rural/urban/suburban residence type. For state level analysis, non-interlocking weights for age, gender, race & ethnicity, education, and rural/urban/suburban residence were applied.