Zogby Analytics surveyed 5,180 voters in the U.S. about their personal experience with COVID-19.

Our data shows that, overall, 15% of US voters have, at some point, tested positive for COVID-19. Adults aged 30-49 (25% report having tested positive for COVID-19), Hispanics (28%), those with household incomes of more than $150,000 (27%) and voters living in large cities (27%) are most likely to have, at some point, tested positive for the COVID-19 virus. Males (22%) are more likely to have tested positive than females (9%), while college-educated (21%) respondents had higher numbers than those without college degrees (10%). Socialists (36%, seventeen or more percentage points higher than three major ideological groups, Liberals, Moderates and Conservatives) and Jewish males (41%, at least double the rate of any other religious subgroup, including Jewish females at 14%) also had some of very highest positivity rates.

Voters who voted in person before the Election Day (21%) and voters who voted on the Election Day (17%) show higher COVID-19 rates than voters who voted by absentee ballots (5%).

We pursued these questions further by offering only those respondents who have, at some point, tested positive, to rate severity of their symptoms on a scale from 0 (asymptomatic) to 5 (extremely serious). The average rating for severity of symptoms in this subgroup of 782 respondents was 2.81. Perceived severity was high on both ends of the ideological spectrum - 3.52 among very conservatives and 3.12 among progressives (compared to 2.37 among moderates). It also grew with the income - 3.11 among those in the top income group rated their symptoms, on average, at 3.11 compared to 2.08 and 2.28 observed among respondents in the two bottom income groups.

Zogby Analytics conducted an online survey of 5180 adults who voted in the November 3rd Presidential Election.

Using internal and trusted interactive partner resources, thousands of adults were randomly invited to participate in this interactive survey. Each invitation is password coded and secure so that one respondent can only access the survey one time.

Using information based on census data, voter registration figures, CIA fact books and exit polls, we use complex weighting techniques to best represent the demographics of the population being surveyed. Weighted variables may include age, race, gender, region, party, education, and religion. The party breakdown for this survey is as follows: 37% Democrat, 35% Republican and 28% Independent/unaffiliated.

Based on a confidence interval of 95%, the margin of error for 5180 is +/- 1.4 percentage points. This means that all other things being equal, the identical survey repeated will have results within the margin of error 95 times out of 100.

Subsets of the data have a larger margin of error than the whole data set. As a rule we do not rely on the validity of very small subsets of the data especially sets smaller than 50-75 respondents. At that subset we can make estimations based on the data, but in these cases the data is more qualitative than quantitative.

Additional factors can create error, such as question wording and question order.

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About Zogby Analytics:
Zogby Analytics is respected nationally and internationally for its opinion research capabilities. Since 1984, Zogby has empowered clients with powerful information and knowledge critical for making informed strategic decisions.

The firm conducts multi-phased opinion research engagements for banking and financial services institutions, insurance companies, hospitals and medical centers, retailers and developers, religious institutions, cultural organizations, colleges and universities, IT companies and Federal agencies. Zogby's dedication and commitment to excellence and accuracy are reflected in its state-of-the-art opinion research capabilities and objective analysis and consultation.