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. 2021 May 3;7(4):435–440. doi: 10.1016/j.ijwd.2021.04.003

Table 3.

Correlation between percentage of female dermatologists, otolaryngologists, ophthalmologists, and urologists in each county and county-level demographic, socioeconomic, and political variables

Spearman's correlation coefficient
Variable Dermatology Otolaryngology Ophthalmology Urology
Percent voting democrat in the 2016 presidential election +0.22 a +0.30 a +0.29 a +0.34 a
Median household income +0.18 a +0.20 a +0.29 a +0.25 a
County population size +0.16 a +0.32 a +0.37 a +0.39 a
Female:male earning ratio +0.11 a +0.17 a +0.12 a +0.15 a
Percent high school education or higher +0.09 b +0.05 c +0.18 a +0.16 a
Percent female population +0.07 a +0.11 a +0.10 a +0.09 b
Percent not proficient in English +0.02 +0.21 a +0.25 a +0.25 a
Percent population age ≤18 years –0.03 –0.03 –0.01 +0.03
Percent married –0.07 c –0.14 a –0.6 c –0.13 a
Percent non-Hispanic white race –0.08 c –0.21 a –0.14 a –0.21 a
Unemployment rate –0.09 b +0.01 –0.09 b –0.06 c
Percent of population age >65 years –0.09 b –0.12 a –0.16 a –0.23 a
Percent below poverty line –0.10 b –0.07 c –0.19 a –0.13 a
Uninsured rate –0.11 a –0.05 –0.15 a –0.10 a
Degree of ruralityd –0.18 a –0.25 a –0.31 a –0.30 a
a

p < .001

b

p < .01

c

p < .05

d

Based on U.S. Department of Agriculture rural–urban continuum code for the county of the physician practice