Global Employee Gender Representation
0.0%
Women
0.0%
Men
0.0%
NON-BINARY / OTHER / UNDISCLOSED
U.S. Employee Gender Representation
0.0%
Women
0.0%
Men
0.0%
NON-BINARY / OTHER / UNDISCLOSED
U.S. Employee Race and Ethnicity Representation
0.0%
White
Women 36.4%
Men 63.5%
0.0%
Asian
Women 34.3%
Men 65.6%
0.0%
Hispanic or Latinx
Women 38.9%
Men 61.0%
0.0%
Black or African American
Women 39.7%
Men 60.2%
0.0%
Multiracial
Women 42.4%
Men 57.5%
0.0%
Undisclosed
Women 30.5%
Men 65.9%
0.0%
Native Hawaiian or Other Pacific Islander
Women 42.3%
Men 57.8%
0.0%
Native American or Native Alaskan
Women 31.9%
Men 68.1%
Total U.S. Underrepresented Minority (URM) Representation
11.2%
Total Underrepresented Minority Population — Black, Latinx, Indigenous, and Multiracial Employees.
Areas of Progress
50%
Greater than 50% increase of Black leadership (VP+) over the past year. Black women leaders in the U.S. also doubled — albeit from a small base. Overall Black representation is up 0.5 percentage points.
27%
Over the last year, URM attrition is down 27% and is currently lower than total company attrition.
11K
Nearly 11K more women work at Salesforce than 5 years ago. 36.1% of the U.S. and 33.6% of our Global workforce are women.
7.6%
A 7.6% increase in the global representation of women in leadership since 2019.
Areas of Opportunity
Increase U.S. representation of Latinx employees broadly and in leadership — currently at 4.5% overall and 3.1% in leadership. Develop additional strategies and partnerships to grow representation of Indigenous employees.
Increase U.S. representation of URM employees in tech – currently at 9.6% vs. 11.2% overall in the U.S.
Continue increasing representation of women in tech — currently at 24.3%.
Continue to expand participation in voluntary Self-ID for Veterans, LGBTQ+ community and People with Disabilities to better understand and empower these employees.
Additional U.S. Representation Data
We are working to better understand our diverse workforce through our voluntary Self-ID initiative. The following data has been collected through these efforts. Currently, our voluntary Self-ID adoption in the U.S. is slower than we’d like. We recognize that we have significant work ahead to drive completions and ensure we have comprehensive data that reflects the actual populations of these communities.
0.0%
LGBTQ+
0.0%
People with disabilities
0.0%
Veterans
Equal Pay
We believe in equal pay for equal work. As part of this commitment, we conduct a pay assessment every year to adjust salaries by gender, race, and ethnicity. We adjust salaries up, never down.
LEARN MORE$2.1m
INVESTMENT FOR 2020
$12.4m
SALARY ADJUSTMENT SINCE 2015