We have made year-over-year progress, and we will continue to strive for better representation across our company.

See below for a four-year trend of our global gender and U.S. race and ethnicity data as of December 31, 2022.

Graphs representing Amazon's workforce data.
Graphs representing Amazon's workforce data.
Graphs representing Amazon's workforce data.
Graphs representing Amazon's workforce data.
Graphs representing Amazon's workforce data.
Graphs representing Amazon's workforce data.
Graphs representing Amazon's workforce data.
Graphs representing Amazon's workforce data.
Graphs representing Amazon's workforce data.
Graphs representing Amazon's workforce data.

At Amazon, we are a company of builders who bring varying backgrounds, ideas, and points of view to inventing on behalf of our customers. Our diverse perspectives come from many sources, including gender, race, age, national origin, sexual orientation, culture, education, and professional and life experience. However, we recognize that categorizing identity can be falsely limiting and miss important nuances within broader demographic categories. That is why we have implemented a new “plus” or “+” methodology designed to give our employees more choices to self-select one or more categories. This Self-ID process allows Amazon to gather more inclusive global data on race, gender, and other identities to help give us a more detailed picture of our workforce.

A review of 2023 compensation, including base pay, cash bonuses, and stock, shows women in the U.S. earned 99.9 cents and women globally earned 99.8 cents for every dollar men earned performing the same jobs. The review also shows that racial/ethnic minorities in the U.S. earned 1 dollar for every dollar white employees earned performing the same jobs.

Note: Employees included in these data are those for whom gender, race, or ethnicity has been identified. Amazon recognizes gender is not binary. Historically underrepresented communities refer to Women, Black, Hispanic/Latinx, Multiracial, and Indigenous peoples as groups whose representation in tech has been historically low.

View Amazon's historical workforce data.

Amazon's EEO-1 consolidated reports:

2022 (PDF)
2021 (PDF)
2020 (PDF)
2019 (PDF)