Demographics

Data stock image

One of our key priorities is to track, understand and report the demographics of our community. Reporting demographics is only one part of nurturing a supportive and collaborative culture. We look at climate surveys, feedback from our community, our success in recruiting and retaining faculty, staff and trainees, and the quality and equity of healthcare that we deliver to our patients.

Sources/definitions
This is unpublished

Overview

Our Strategic Plan (2021-2025) identified four core priority areas, including the aim of nurturing a supportive, collaborative culture built on equity, diversity, and inclusion.

In sharing demographic data, we hope to:

  • Examine who we are as a community in terms of race/ethnicity, gender, disability status, and age. Are we reflective of the Seattle region? Do we resemble the communities that we serve? How can we be more inclusive of our community members?
  • Provide transparency to our community.
  • Establish a baseline in evaluating DOM’s progress in becoming a more equitable, diverse, and inclusive organization.
  • Share our demographics and progress with prospective faculty, staff, and trainees.
  • Identify variations in demographics by different categories of faculty, trainees, and staff and develop initiatives to improve equity.
  • Provide metrics to support organizational accountability.

Race/Ethnicity and Sex 

Faculty Race/Ethnicity and Sex, 2022

Race and sex 2022

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  • Due to missing information (Null/no data + Refused, 14%), a direct comparison to Seattle demographics may not be accurate for most racial/ethnic categories.
  • Compared to Seattle as a whole, it is likely that there is a lower proportion of DOM faculty who identify as Black and Latino
  • In 2022, no DOM faculty members self-identified as American Indian/Native Alaskan.
  • There is a higher percent of DOM faculty members who identify as female compared to Seattle (49.3%)

Faculty Race/Ethnicity and Sex, 2017-2022

Race sex over time

 
  • The DOM has grown by 23.8% since 2017, when there were 1046 faculty members. This growth was primarily driven by additions to the Clinical Salaried Faculty and Teaching Associate tracks.
  • The DOM faculty who identify as female has increased over the last six years, from 50.0% to 55.6%.
  • The proportion of faculty who declined or had no data for race/ethnicity was 14.8% in 2017 and 13.9% in 2022.
  • There was a greater proportion of faculty who identify as Asian or Black in 2022 compared to 2017
  • The proportion of faculty who identify as BIPOC has increased from 23% to 26% over the last six years.
  • The proportion of faculty who come from backgrounds underrepresented in medicine (URM) was 5.2% in 2022, similar to the proportion in 2017.
  • There were no faculty members who identified as American Indian/Native Alaskan during the time period.

Faculty Race/Ethnicity and Sex by Track, 2022

race and sex by faculty track

 
  • In 2022, there was a higher proportion of faculty who identify as women in the Teaching Associate track compared to the overall DOM (56%) and lower proportion in the Professorial Tenured and Without Tenure tracks.
  • There are high levels of missing race/ethnicity data for Acting (20.9%), Clinical (15.2%), and Teaching Associate (14.8%) tracks.

Resident & Fellow Race/Ethnicity and Sex, 2022

Resident race and sex 2022

 
  • In 2022, there were 404 DOM trainees, among whom more than one half identified as female.
  • Regarding race/ethnicity, the proportion of missing information (Refused plus No Data) was high, 29% and 38% for residents and fellows, respectively.
  • After excluding DOM members with missing (Refused plus No Data) race/ethnicity data, the proportion of residents who identified as Asian, Black, Latino, white, or 2 or more ethnicities was 31%, 7%, 7%, 53%, and 1% respectively (denominator, n=159).
  • After excluding DOM members with missing race/ethnicity data, the proportion of fellows who identified as Asian, Black, Latino, Native Hawaiian/Pacific Islander, white, or 2 or more ethnicities was 29%, 7%, 7%, 1%, 52%, and 4% respectively (denominator, n=112).

Disability and Veteran Status

Faculty Disability and Veteran Status, 2022

Disability vet status 2022

 
  • There was a low proportion of faculty (0.7%) who self-reported a disability in 2022.
  • The proportion of missing information on veteran status is high (Null/no data + Refused, 36%). The proportion of the Seattle area population who are veterans is 6.8%.

Faculty Disability and Veteran Status by Track

Disability by track

Resident & Fellow Disability and Veteran Status, 2022

Resident disabilty

Age groups

Faculty Age Groups, 2022

Age 2022

Faculty Age Groups, 2017-2022

age groups 2017-2022