Federal Filing Data

EEO-1 Reports

We collect and display official EEO-1 Component 1 workforce data filed with the U.S. Equal Employment Opportunity Commission. This is the most standardized, verified source of company demographics data available.

What is an EEO-1 Report?

Understanding the federal workforce data standard

The EEO-1 Component 1 report is a mandatory annual filing that private employers with 100+ employees must submit to the EEOC. It provides a snapshot of the company's U.S. workforce broken down by:

10 Job Categories

From Executive/Senior Officials to Service Workers

7 Racial/Ethnic Groups

White, Black, Hispanic, Asian, Native American, Pacific Islander, Two or More

2 Gender Categories

Male and Female, as defined by federal standards

This creates a 140-cell matrix (10 categories x 7 races x 2 genders) that provides one of the most granular views of workforce composition available. Unlike voluntary diversity reports, EEO-1 data follows a strict federal format, making it directly comparable across companies.

Available EEO-1 Data

21 companies

These companies have voluntarily published their certified EEO-1 filings. Click any company to see the full job-category breakdown.

G
Google
2023 filing182,502 employees
PDF
10 job categories
183,057 data points
A
Apple
2024 filing164,000 employees
PDF
10 job categories
162,237 data points
N
Netflix
2023 filing13,000 employees
PDF
10 job categories
12,761 data points
U
Uber
2023 filing32,800 employees
PDF
10 job categories
32,401 data points
M
Microsoft
2023 filing125,853 employees
PDF
10 job categories
125,853 data points
M
Meta
2023 filing51,976 employees
PDF
10 job categories
51,976 data points
A
Amazon
2023 filing1,049,676 employees
PDF
10 job categories
1,049,676 data points
C
Cisco
2023 filing55,280 employees
PDF
10 job categories
55,235 data points
S
Salesforce
2024 filing36,505 employees
PDF
10 job categories
36,505 data points
I
Intel
2023 filing79,850 employees
PDF
10 job categories
79,306 data points
I
Intuit
2023 filing17,300 employees
PDF
10 job categories
15,890 data points
D
Dell Technologies
2023 filing62,500 employees
PDF
10 job categories
61,881 data points
Q
Qualcomm
2023 filing18,200 employees
PDF
10 job categories
17,994 data points
H
HP Inc
2023 filing25,400 employees
PDF
10 job categories
24,962 data points
F
F5 Networks
2023 filing3,520 employees
PDF
10 job categories
3,522 data points
P
Palo Alto Networks
2023 filing8,200 employees
PDF
10 job categories
8,201 data points
A
Adobe
2024 filing15,156 employees
PDF
10 job categories
15,156 data points
P
Pinterest
2023 filing4,014 employees
PDF
10 job categories
3,960 data points
P
PayPal
2023 filing18,500 employees
PDF
10 job categories
17,658 data points
O
Oracle
2022 filing63,000 employees
PDF
10 job categories
63,000 data points
B
Block (Square)
2024 filing8,747 employees
PDF
10 job categories
8,747 data points

Know of a tech company that has published their EEO-1 data? Let us know

How We Use EEO-1 Data

Combining federal filings with crowdsourced insights

1

Verify Crowdsourced Data

We cross-reference anonymous submissions against official EEO-1 numbers to check for consistency and detect anomalies.

2

Job Category Breakdown

EEO-1 data shows how demographics vary across job levels -- something diversity reports often gloss over.

3

Score Calibration

Companies with published EEO-1 data get higher confidence scores since the data is verified and company-reported.

4

Year-over-Year Tracking

Annual filings let us track real progress (or regression) in workforce diversity over time.

Limitations of EEO-1 Data

Important context for interpreting these numbers

  • --U.S. only. EEO-1 reports cover domestic employees only. Companies with large international workforces will show different numbers in their global diversity reports.
  • --Binary gender. Federal reporting only tracks Male/Female. Non-binary, transgender, and other gender identities are not captured.
  • --Broad job categories. The 10 EEO-1 categories may group very different roles together. A “Professional” at a tech company could be an engineer, a researcher, or an analyst.
  • --Point-in-time snapshot. Data reflects a single pay period and may not capture seasonal variations or recent changes.
  • --No intersectionality beyond race x gender. The reports don't capture age, disability status, veteran status, sexual orientation, or other dimensions.

Frequently Asked Questions

Help build the most transparent workforce dataset

EEO-1 data tells part of the story. Your anonymous submission fills in the rest -- PIP rates, culture signals, hire-to-fire patterns, and more.