Data Behind the CROWN Act
The CROWN Act’s legislative success across twenty-four US states was not driven by rhetoric or political pressure alone. It was driven by data. Quantitative evidence, produced through rigorous research, provided the empirical foundation that legislators needed to justify, defend, and enact hair discrimination protections.
This page documents the key statistics from the CROWN Act research ecosystem, explains how this data was used in legislative proceedings, and examines the model of evidence-based legislative change that CROWN is now building for Europe through the CROWN Discrimination Index.
The Dove CROWN Coalition Research
The Dove CROWN Coalition, co-founded in 2019 by Dove, the National Urban League, Color of Change, and the Western Center on Law & Poverty, commissioned research that became the evidentiary backbone of the CROWN Act movement. The studies were conducted with JOY Collective and, for workplace data, in partnership with LinkedIn.
Workplace Discrimination Data
The Dove/LinkedIn CROWN Workplace Research Study (2023) produced the movement’s most cited findings:
2.5x more likely to be perceived as unprofessional. Black women’s hair is two and a half times more likely to be perceived as unprofessional in the workplace compared to non-Black women’s hair. This single statistic appeared in legislative testimony in virtually every state that adopted the CROWN Act.
54% feel compelled to straighten hair for interviews. More than half of Black women report feeling they must wear their hair straight when interviewing for a job, indicating that discrimination pressure operates before hiring decisions are even made.
Black women are 83% more likely to be judged on appearance. The study found that Black women report significantly higher rates of appearance-based scrutiny in professional settings.
1 in 5 Black women sent home from work. Twenty percent of Black women aged 25-34 reported being sent home from the workplace because of their hair.
Hair-based microaggressions are routine. Black women reported that colleagues touch their hair without permission, make comments about its texture or style, and question its professionalism at rates dramatically higher than women of other racial backgrounds.
Youth and Education Data
The CROWN Research Study for Girls (2021) and subsequent youth-focused research documented early-onset discrimination:
86% experience discrimination by age 12. Among Black teens who report hair discrimination, 86% report the experience by age twelve, indicating that discrimination begins well before entry into the workforce.
54% of Black girls report hair-related teasing. Research from the University of Connecticut (UConn, 2025) found that more than half of Black girls aged twelve report being teased or bullied because of their hair.
2x more likely to face school discipline. Black students are twice as likely to face disciplinary action related to their hair compared to non-Black students. Cases include students being asked to cut their hair, remove braids, or change styles to conform to grooming codes.
30% report hair affecting school experience. Nearly one in three Black girls report that concerns about their hair affect their experience at school, including their willingness to participate in activities.
Economic Impact Data
The economic dimensions of hair discrimination provide the strongest arguments for legislative intervention:
Conformity spending. Black women spend an estimated $473 billion annually on hair care in the US market, a significant portion driven by pressure to conform to Eurocentric beauty standards rather than personal preference. Chemical relaxing treatments, which carry documented health risks (NIH, 2022), are used disproportionately by women facing workplace pressure to straighten natural hair.
Career deflection. Research from Yale University (2024) documented that hair discrimination correlates with changes in career aspirations, avoidance of customer-facing roles, and reduced willingness to pursue leadership positions, all of which have measurable economic consequences.
Wage gap contribution. While isolating the specific wage impact of hair discrimination from broader racial wage gaps is methodologically challenging, multiple studies indicate that appearance-based discrimination contributes to earnings differentials.
How Data Entered Legislative Proceedings
The pathway from research findings to enacted law followed a consistent pattern across states:
Step 1: Establishing Prevalence
In legislative committee hearings, testimony typically began with prevalence data. The 2.5x statistic established that hair discrimination is not anecdotal but measurable and systematic. Legislators responded to numbers because numbers transform a claim into an established fact.
Step 2: Documenting Harm
Once prevalence was established, testimony presented evidence of specific harms: children disciplined at school, employees terminated, job applicants rejected. These individual cases illustrated what the aggregate data measured. Academic research, including Yale’s 2024 study on psychological impacts and the Association of Black Psychologists’ designation of hair discrimination as “aesthetic trauma,” provided clinical and scholarly weight.
Step 3: Quantifying Economic Cost
Legislators respond to economic arguments because legislative mandates involve economic trade-offs. The research on conformity spending, career deflection, and wage impacts established that hair discrimination carries quantifiable economic costs, not only for individuals but for state economies that lose productivity and tax revenue when talent is misallocated.
Step 4: Demonstrating Legal Gap
Testimony documented that existing anti-discrimination law did not adequately cover hair discrimination. Cases where plaintiffs had attempted to litigate hair discrimination under race or appearance provisions, with inconsistent results, demonstrated the need for explicit statutory language.
Step 5: Showing Precedent
Once California enacted SB 188, every subsequent state hearing could point to existing legislation as proof of concept. The cumulative weight of states adopting the CROWN Act became, itself, evidence that the legislation was sound.
The Model: Data to Policy to Law
The CROWN Act experience establishes a clear model for evidence-based legislative change:
Research produces data. Rigorous, quantitative studies document the prevalence, severity, and economic impact of the problem.
Data informs advocacy. Organisations use the data to articulate the case for legislative action in terms that legislators understand: measurable harm, economic cost, legal inadequacy.
Advocacy produces legislation. Legislators, equipped with evidence, introduce and champion bills that address documented harms.
Legislation creates demand for measurement. Once protections are enacted, enforcement and impact assessment require ongoing data collection, creating a feedback loop that sustains the research-to-policy pipeline.
This model is not unique to hair discrimination. It is the standard pathway for evidence-based policymaking in public health, environmental regulation, and economic policy. What the CROWN Act movement demonstrated is that this model can be applied to appearance-based discrimination.
Where the Data Falls Short
An honest assessment must acknowledge the limitations of the CROWN Act’s evidence base:
Self-report bias. The primary research relies on survey methodology, which is subject to self-report bias, social desirability effects, and recall distortion. Respondents may over- or under-report experiences depending on question framing, cultural context, and personal factors.
Limited baseline data. Most states lacked pre-enactment baseline data on hair discrimination prevalence. Without baselines, measuring the impact of CROWN Act legislation on actual discrimination rates is difficult.
Cross-state comparability. Research was national rather than state-specific. The 2.5x statistic describes a national pattern, but discrimination prevalence likely varies across states, regions, and industries.
No objective verification. Survey data captures perceptions and self-reported experiences. It does not include objective, independently verified evidence of discrimination incidents. Legal proceedings benefit from objective evidence, which survey methodology alone cannot provide.
What CROWN Is Building for Europe
CROWN’s research programme is designed to produce data that addresses these limitations while following the proven data-to-policy-to-law model:
The CROWN Discrimination Index produces quantitative, comparable data on hair discrimination prevalence across European jurisdictions. The CDI methodology, developed in consultation with the University of Geneva, is designed for cross-cultural validity and legislative utility.
The CROWN Diagnostic provides hardware-verified, objective data on hair characteristics. This addresses the self-report limitation by calibrating survey data against sensor-measured physical evidence. When discrimination claims involve hair that was objectively measured and documented, the evidentiary standard rises.
The CROWN Hair Commons aggregates anonymised data at population scale, enabling the kind of jurisdiction-specific, demographically detailed analysis that the CROWN Act research could not provide.
Baseline measurement capability. CROWN’s infrastructure is designed to measure discrimination prevalence before legislative action, providing the baselines needed to assess impact after enactment. If France’s Proposition de loi Serva is enacted by the Senate, CROWN’s data can track whether the legislation reduces measured discrimination over time.
European specificity. CROWN produces data on European populations, legal frameworks, and workplace cultures. The US CROWN Act data was powerful for US legislatures; European legislatures need European data. The dynamics of hair discrimination in Switzerland, France, the UK, and across the EU differ from those in the United States, and measurement must reflect those differences.
The European Data Gap
The contrast between the US evidence base and the European evidence base is stark:
In the United States, multiple large-scale studies have quantified hair discrimination in the workplace, in schools, and in economic terms. In Europe, no comparable studies exist. The OECD’s 2025 report on discrimination in the EU found that 56% of ethnic minorities experienced discrimination in the preceding year, but this figure does not disaggregate hair-specific discrimination. No European research institution has produced a hair discrimination prevalence study comparable to the Dove CROWN Coalition research.
This is not because hair discrimination does not occur in Europe. CROWN’s preliminary research indicates that the dynamics are similar. What is absent is the measurement infrastructure to make the problem visible, quantifiable, and actionable.
CROWN is building that infrastructure. The CDI pilot study, the diagnostic technology being developed with guidance from ETH Zürich, and the data commons are designed to produce for Europe what the Dove research produced for America: a body of evidence rigorous enough to inform legislative deliberation and comprehensive enough to sustain long-term monitoring.
The CROWN Act’s data-driven success is not merely an American story. It is a model for how evidence creates the conditions for legislative change. CROWN’s contribution is producing the evidence that makes that model applicable in Europe.
CROWN provides technical analysis and quantitative evidence for legislative deliberation. For questions about our research data, contact contact@crown.ngo.