Table 1.
Variable | n | Mean | SD | Min. | Max. |
---|---|---|---|---|---|
Implicit Bias | |||||
Unstandardized | 2994 | 0.38 | 0.14 | −1.16 | 1.42 |
957 | 0.38 | 0.08 | −0.21 | 0.84 | |
Standardized | 2994 | 0.00 | 1.00 | −10.86 | 7.24 |
957 | 0.00 | 1.00 | −7.30 | 5.62 | |
Explicit Bias | |||||
Unstandardized | 2994 | 0.40 | 0.62 | −10.00 | 8.00 |
957 | 0.40 | 0.38 | −1.75 | 3.33 | |
Standardized | 2994 | 0.00 | 1.00 | −16.86 | 12.33 |
957 | 0.00 | 1.00 | −5.66 | 7.73 | |
Covariates | |||||
Median Age | 2994 | 41.25 | 5.27 | 21.70 | 67.00 |
957 | 40.12 | 4.58 | 24.60 | 67.00 | |
Percent with Bachelor’s Degree | 2994 | 21.70 | 9.48 | 5.38 | 78.53 |
957 | 24.77 | 10.77 | 8.18 | 74.56 | |
Percent Black | 2994 | 9.08 | 14.16 | 0.00 | 82.61 |
957 | 13.87 | 17.27 | 0.01 | 82.61 | |
Percent in Poverty | 2994 | 15.50 | 6.19 | 2.30 | 55.10 |
957 | 15.23 | 6.13 | 3.46 | 41.75 | |
Percent in Crowded Housing | 2994 | 2.30 | 1.74 | 0.00 | 15.46 |
957 | 2.22 | 1.47 | 0.00 | 13.06 | |
Percent Voting Trump (2016) | 2994 | 63.55 | 15.21 | 4.12 | 91.86 |
957 | 56.30 | 14.46 | 9.59 | 89.96 | |
Population Density | 2994 | 283.03 | 1834.28 | 0.24 | 71,509.98 |
957 | 540.64 | 3055.53 | 1.95 | 71,509.98 | |
Population Size | 2994 | 111,296 | 371,533 | 463 | 10,000,000 |
957 | 195,433 | 448,658 | 3838 | 8,336,817 | |
Mortality Rate (per 10,000) | |||||
Overall Mortality Rate, 7/1/20 | 2994 | 1.72 | 3.33 | 0.00 | 37.84 |
957 | 3.15 | 4.42 | 0.00 | 37.84 | |
Incidence Rate (per 10,000) | |||||
Overall Incidence Rate, 7/1/20 | 2994 | 52.12 | 77.21 | 0.00 | 1319.57 |
957 | 82.05 | 86.57 | 0.00 | 864.93 | |
White Incidence Rate, 5/28/20 | 957 | 16.48 | 27.51 | 0.00 | 455.00 |
Black Incidence Rate, 5/28/20 | 957 | 35.59 | 92.45 | 0.00 | 1181.00 |
Black–White Incidence Rate Gap, 5/28/20 | 957 | 19.11 | 78.80 | −204.00 | 1069.00 |
SD = standard deviation. While there were 3142 counties for which we had data on any given variable, our adjusted models had either 2994 counties (for overall rate models) or 957 counties (for race-disaggregated rate models) as these were the counties which had information on all model-relevant variables. Above, we report averages for the 2994 and 957 county sets to demonstrate similarities and differences between county sets. Unstandardized exposure summary statistics provide a sense of aggregate racial bias central tendency, which trend slightly above 0 (indicating general pro-White bias). Standardized exposure measures provide ease of comparability against regression coefficients, which are x-standardized and reported later.