Cross-tabulations: Gender, Race, and Age
What’s in the cross-tabulation tables?
There are 3 sets of cross-tabulation tables included for each week of data collection.
Banner Table 1 focuses on the data from the 18 regions in the study and includes columns for the 10 states (CA, CO, FL, LA, MN, MO, MT, NY, OR, TX) and 8 Metropolitan Statistical Areas (Atlanta, Baltimore, Birmingham, Chicago, Cleveland, Columbus, Phoenix, Pittsburgh).
Banner Table 2 focuses on the national data and includes columns to compare:
Respondent’s gender (male and female)
Respondent’s broad race/ethnic category (non-Hispanic white, non-Hispanic black, Hispanic, non-Hispanic Asian, and non-Hispanic other)
Respondent’s race/ethnic category with Asian races/ethnicities broken out (non-Hispanic white, non-Hispanic black, Hispanic, non-Hispanic American Indian or Alaska Native or Pacific Islander, non-Hispanic Chinese, non-Hispanic Asian Indian, non-Hispanic Filipino or Vietnamese, non-Hispanic Japanese or Korean, and non-Hispanic other)
Respondent’s age (18-22 years old, 23-64 years old, and 65+ years old)
Banner Table 3 focuses on the national data and includes columns to compare:
If the respondent reports a family member or close friend that has died from COVID-19 (yes or no)
Respondent’s highest level of education (less than a high school graduate, high school graduate or equivalent, some college eduction, college degree or above)
Population density where the respondent lives (rural, suburban, or urban)
Respondent’s household income (less than $30,000 per year, $30,000-$59,999, $60,000-$124,999, $125,000 or more)
The respondent’s household structure (living alone, living with 1 other adult but no children, living with 1 or 2 children, living with 3 or more children, other).
How to read and use the tables:
Each banner table book has a table of contents that can be used to navigate to each question asked on the survey. The data from each question is on its own tab. The question number and text and shown in row 4 of the spreadsheet.
The estimates listed under column heading A include the estimates for the total population (all 18 regions in Banner Table 1 and the nation for Banner Tables 2 and 3). Then each of the following columns is the estimate for the subgroup in the header. For example, in this example, the table is read to show under column heading A that 13% of adults nationwide say their health is excellent, 40% very good, 30% good, 14% fair, and 3% poor. Under column heading B, the data show that 14% of male respondents say their health is excellent and under column heading C that 13% of female respondents say the same.
The first row of each table is the unweighted base, or the number of respondents from the survey in each group. We urge users to treat the results for groups with fewer than 100 respondents with caution.
The letters under some of the frequencies are indicating statistically significant differences with other groups at the 95% confidence level. For example, the “D,F,G” circled in the example signifies that 27% of non-Hispanic blacks who say their health is very good is significantly less than the 40% of non-Hispanic whites (column D), the 46% of Hispanics (column F), and the 47% of non-Hispanic Asians (column G).
PHYS8: Would you say your health in general is excellent, very good, good, fair, or poor?
Access the data
Week 1
Week 2
Week 3
Other Resources
Statement from Nick Hart, Ph.D., Data Foundation President to the House of Representatives Ways and Means Committee, “Findings from the COVID Impact Survey Relevant to Understand the
Disproportionate Impact of COVID-19 on Communities of Color”, June 3, 2020