Table.

Demographic Characteristics of Interviewees and Comparison With ERAS Data

Demographic	Interviewees		ERAS Applicantsa
	N (%)	Disaggregated Mixed Race Categoryb N (%)	N (%)	Weighted Averagec
Gender
Female	361 (63.9)		20 913 (49.6)	54.4
Male	181 (32.0)		21 196 (50.3)	45.5
Non-binary	3 (0.5)
Transgender	1 (0.2)
Prefer not to answer	4 (0.7)
Unknown	15 (2.7)		20 (0.0)	0.0
UiMd
Yes	108 (19.1)	112 (17.9)	8072 (19.2)	19.2
No	437 (77.3)	492 (78.8)	27 067 (64.2)
Unknown	20 (3.5)	20 (3.2)	3377 (8.0)
Race
White	306 (54.2)	347 (55.6)	17 365 (41.2)	42.4
Asian	106 (18.8)	133 (21.3)	9702 (23.0])	22.3
Latinxe	32 (5.7)	53 (8.5)	3694 (8.8)	8.9
Blackf	29 (5.1)	39 (6.3)	3976 (9.4)	9.4
American Indian or Alaska Native	6 (1.1)	12 (1.9)	302 (0.7)	0.7
Native Hawaiian or Pacific Islander	0 (0.0)	7 (1.1)	100 (0.2)	0.2
Multiracial	55 (9.7)
Other	11 (2.0)	13 (2.1)	1684 (4.0)	3.8
Unknown	20 (3.5)	20 (3.2)	1693 (4.0)	3.8
Location
Rural	35 (6.2)
Suburban	185 (32.7)
Urban	331 (58.6)
Unknown	14 (2.5)
GME program
Family medicine	148 (26.2)
Pediatrics	137 (24.3)
OB/GYN	78 (13.8)
Anesthesia	59 (10.4)
Emergency medicine	59 (10.4)
Psychiatry	40 (7.1)
General surgery	34 (6.0)
Clinical psychology	10 (1.8)

Abbreviations: ERAS, Electronic Residency Application System; UiM, underrepresented in medicine; GME, graduate medical education; OB/GYN, obstetrics and gynecology.

^aIncludes only applicants to the same residency specialties as included in our study (excluding clinical psychology) in the 2019–2020 interview cycle.

^bIncluded for comparison to ERAS data. Participants who reported multiple races in the ERAS data are counted separately in each race category, rather than in a mixed-race category.

^cWeighted by residency specialty representativeness in our sample.

^dUnderrepresented in medicine excludes Asian and White.

^eLatinx includes ERAS categories of Latino, Hispanic, or Spanish origin.

^fBlack includes ERAS category of Black or African American.