Representation at Google
Representation at Google can be viewed as a simple equation: hiring minus attrition. Though gains in representation are not evenly realized for all, our work in hiring is having an impact for women in tech all over the world and for Black+ and Latinx+ people in the U.S. For example, YouTube realized a 4% increase in global representation year over year for women in tech.
Setting the bar for transparency and data sharing
Data transparency is a critical contribution to creating systemic, industry-wide solutions. We were one of the tech first companies to start sharing our diversity data publicly in 2014, and today, we are proud to provide one of the largest, publicly available DEI data sets in the industry. As we move forward, we continue to expand our data set and publicly share our progress with the world.
For the first time ever, we are publishing race data outside the U.S. This data has enabled us to expand and evolve our work in response to the unique historical and cultural contexts of race and gender around the world by creating custom and tailored programming and dedicated staff.
Defining racial and ethnic categories is particularly complex. In this report, the objective is to create categories that address significant global patterns of racial and ethnic dynamics. In some instances, this data set is limited due to various government protections around the world and the desire to protect Googler confidentiality.
Our workforce representation data
Representation by race / ethnicity
Google had its largest increase to date in Black+ and Latinx+ representation in the U.S.
Not every data point revealed progress — Native American+ representation remained stagnant from years past.
Representation by gender
Globally, we continue to see large gains in female representation to date. Women make up 25% of our tech workforce in the U.S. — an all-time high.
Our leadership representation data
Leadership representation by race / ethnicity
Leadership representation by gender
Leadership intersectional representation
More inclusive demographic data
Since 2019, we have intentionally expanded our employee demographic data to be more inclusive. As our data set has grown, so too have our use cases. Last year’s report announced company-wide goals on product accessibility and disability inclusion in our workforce. This year’s report highlights how this data has been used to weave intersectionality throughout our approach to this work.
Of the 67% of employees who have self-identified globally, we see that:
6.9% self-identified as LGBQ+ and/or Trans+
5.6% self-identified as having a disability
5.2% self-identified as being, or having been, members of the military
<1% self-identified as non-binary
View all of our historical data
This year, we’re making it even easier for researchers, community organizations, and industry groups to leverage our data. External research shows that only industry-wide systemic solutions will create sustainable change. We believe that data transparency and standardization is an important step in service of collective action.
A note about our methodology
All reporting on gender, unless otherwise stated, reflects global data. Google also reports on global non-binary gender, using global self-reported data. We do not collect data where it is expressly prohibited by local law or would put our employees’ safety at risk. Data can be found in “Representation at Google.”
All reporting on race, unless otherwise stated, reflects U.S. data. Google also reports on global race data, using global self-reported data. In these instances, some race categories have changed to be more globally relevant. We do not collect data where it is expressly prohibited by local law or would put our employees’ safety at risk. Data can be found in “Representation at Google.”
In our 2019 Diversity Annual Report, we began counting multiracial people as a member of all the racial categories they identify with. This system used in the report is called the “plus system” (indicated by the + sign) because multiracial people are “plussed in” to each racial category they identify with. To see this data using U.S. government reporting categories, view our EEO-1.
In some cases, due to rounding and how we count multiracial people, the individual percentages may not add up exactly to the overall percentage.
Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is marked N/A.
“Native American+” includes Native Americans, Alaska Natives, Native Hawaiian and Other Pacific Islanders as categorized by U.S. government reporting standards.
“Americas” includes all countries in North and South America in which we operate, excluding the U.S.
Historical numbers may differ slightly due to rounding and corrections in methodology year over year.