EEO-1 Reporting Form Changes

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The EEO-1 form is filed annually by all employers covered by Title VII that have 100 or more employees and by all federal contractors and first-tier subcontractors with 50 or more employees.  The EEO-1 survey reports the demographic data of the workforce, by mandatory job categories, using gender and race/ethnicity information.  Reporting deadline tentatively May 17th.

Learn:

  • how to determine which companies are required to file EEO-1 forms;
  • how to determine which EEO-1 forms to use, including the advantages and disadvantages of various options;
  • how to determine the data needed for the reports; and
  • how the government agencies use the reports. 

In this 90-minute webinar, we will also discuss trends and ways to expand the use of this data to assist the employer’s diversity and inclusion initiatives and to use the data in compensation self-audits, where required or appropriate.

  • Sheila M. Abron (Willis)

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Browse previous versions of this webinar series:

  • What You Need to Know to File Your EEO-1 Reports
    Webinar Date: February 26, 2025
  • EEO-1 Reporting Form Changes
    Webinar Date: May 3, 2022
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Frequently Asked Questions

EEO-1 reporting is required by the Equal Employment Opportunity Commission (EEOC) for two primary categories of employers. Private-sector employers with 100 or more employees must file annually. Federal contractors and first-tier subcontractors with 50 or more employees and contracts of $50,000 or more are also required to file. The EEO-1 form requires employers to categorize their workforce by gender and race/ethnicity across ten mandatory job categories established by the EEOC: executive/senior-level officials and managers, first/mid-level officials and managers, professionals, technicians, sales workers, administrative support workers, craft workers, operatives, laborers and helpers, and service workers. Race and ethnicity categories include Hispanic or Latino, White (non-Hispanic), Black or African American (non-Hispanic), Native Hawaiian or other Pacific Islander, Asian, American Indian or Alaska Native, and two or more races. Self-identification by employees is the preferred data collection method, with manager observation used as a fallback when employees decline to self-identify. Accurate categorization within the correct job group and demographic classification is essential, as EEOC and OFCCP use this data to identify potential patterns of discrimination and to target compliance reviews.
EEO-1 data serves as a primary analytical tool for both the EEOC and the Office of Federal Contract Compliance Programs (OFCCP) in identifying patterns of potential employment discrimination and directing enforcement priorities. The EEOC analyzes EEO-1 submissions to identify industries, occupations, and geographic areas where workforce representation of protected groups is significantly below workforce availability—signals that trigger closer scrutiny and potential systemic investigations. The OFCCP uses EEO-1 data alongside affirmative action plan information to select federal contractors for compliance audits, with statistical outliers in workforce composition receiving elevated review priority. Accurate reporting matters for multiple reasons: underreporting or misclassifying employees protects no one—it creates false assurance while the underlying compliance risks remain—and inaccurate data submitted to federal agencies constitutes a false statement with potential legal consequences. Conversely, organizations that report accurately and use their own EEO-1 data to conduct internal workforce analysis gain valuable intelligence for diversity and inclusion strategy: identifying where representation gaps are most significant, where pipeline development is needed, and where promotion rates by demographic group warrant investigation. EEO-1 data is also increasingly relevant to pay equity analysis and ESG reporting requirements.
EEO-1 data, while primarily a compliance instrument, provides a richly informative snapshot of workforce composition that HR professionals can leverage strategically for diversity and inclusion analysis. By tracking EEO-1 data trends over multiple years, organizations can identify whether representation of underrepresented groups is improving, stagnating, or declining across different job categories—providing an objective measure of D&I program effectiveness beyond qualitative assessments. Gaps between representation in lower job categories (such as professionals and technicians) and senior management levels signal advancement barriers that warrant investigation: are diverse employees being hired at entry levels but not advancing? Comparing internal EEO-1 data against external workforce availability data for relevant geographic and occupational markets reveals whether representation gaps reflect market constraints or organizational factors within HR's control to address. EEO-1 job category data can inform targeted sourcing strategies: if technician-level diversity is strong but advancement into professional roles is limited, development and mentoring programs for that pipeline stage are indicated. For organizations subject to OFCCP requirements, EEO-1 data feeds directly into affirmative action planning, goal-setting, and the utilization analysis that identifies where affirmative action efforts should be concentrated.
The EEO-1 reporting system includes several report types designed to accommodate different employer structures and workforce configurations. The Type 1 report is used by single-establishment employers—organizations with all employees at a single physical location. Type 2 reports are consolidated company-wide reports for multi-establishment employers, summarizing total workforce data across all locations. Type 3 reports are headquarters reports, capturing only the employees at the organization's headquarters location. Type 4 reports are establishment-level reports submitted for each non-headquarters location with 50 or more employees. Type 8 reports cover establishments with fewer than 50 employees when those locations are part of a larger multi-establishment employer. Selecting the correct report type requires understanding the organization's physical structure, how employees are assigned to locations, and how the EEOC defines establishment for reporting purposes. Multi-establishment employers must file both a consolidated report and individual establishment reports, which requires coordination of data across locations and HR systems. Employers unsure of their filing obligations should consult EEOC guidance on the EEO-1 portal and consider consulting with employment counsel, particularly for complex organizational structures involving joint ventures, staffing agency relationships, or recently merged entities whose workforce composition may require careful analysis.
Accurate EEO-1 data collection requires building reliable processes into the HR data management infrastructure rather than relying on last-minute pre-deadline data pulls. Best practices begin with self-identification: proactively inviting all employees to self-identify their gender and race/ethnicity during onboarding and through periodic re-solicitation campaigns, emphasizing that participation is voluntary and data is used for compliance and diversity purposes. HR information systems should be configured to capture and retain this data consistently, with controls that prevent accidental overwrites or gaps. Job category classification—often the most error-prone element of EEO-1 preparation—requires that HR teams understand the EEOC's job category definitions thoroughly and map them accurately to internal job titles and grades, which may not align neatly with the ten EEO-1 categories. Regular audits of job category assignments, particularly following organizational restructuring or significant hiring activity, prevent classification drift over time. For multi-establishment employers, establishing standardized data collection processes across all locations reduces consolidation errors at filing time. Beginning data preparation well in advance of the annual deadline provides time to identify and resolve anomalies. Using HRIS system integrations with the EEO-1 portal where available reduces manual data entry errors significantly.