The Data Gap

The Founding Argument

CROWN was founded on a single, verifiable observation: the United States has accumulated a substantial body of quantitative data on hair discrimination, while Europe — home to an estimated 150 million people with textured hair — has produced almost none.

This is not a matter of European indifference. European institutions care deeply about discrimination. The European Union’s Racial Equality Directive (2000/43/EC) established a legal framework for combating racial discrimination. National equality bodies across the continent monitor, investigate, and adjudicate discrimination complaints. Academic research on prejudice, bias, and social exclusion is world-leading.

What is missing is specific, quantitative, systematically collected data on hair discrimination. Without this data, the problem remains invisible in the statistics that policymakers rely upon, unmeasured in the surveys that researchers conduct, and unquantified in the economic analyses that drive corporate decision-making.

What Exists in the United States

The US data ecosystem on hair discrimination is substantial and growing.

Dove/LinkedIn CROWN Workplace Research Study (2023). The most widely cited research on hair discrimination. Key findings: Black women’s hair is 2.5 times more likely to be perceived as unprofessional. 80 percent of Black women feel they must alter their natural hair for work. Black women with natural hair are 1.5 times more likely to be sent home from work due to their hair. These statistics have been cited in legislative proceedings across 24 US states.

University of Connecticut Hair Satisfaction Study (2025). Research on adolescent experiences documenting that 54 percent of Black girls aged 12 report hair-related teasing from peers. This data has been instrumental in arguments for school policy reform.

Yale University Impact of Hair Discrimination (2024). Academic research quantifying the professional and psychological consequences of hair-based bias, including career deflection, earning differentials, and mental health outcomes.

Washington State University Deep Hair Phenomics (2024). Published in the Journal of Investigative Dermatology, this research advanced objective measurement of hair properties — moving beyond subjective visual classification toward sensor-based assessment. This work directly informs CROWN’s diagnostic technology.

NIH Chemical Straightening and Cancer Risk (2022). Published in the Journal of the National Cancer Institute, this study established an association between frequent chemical hair straightening and uterine cancer risk — evidence that conformity pressure from discrimination carries measurable health consequences.

This body of research did not emerge spontaneously. It required sustained investment, institutional commitment, and — critically — the creation of measurement instruments. The Dove CROWN Coalition, co-founded in 2019, invested in producing the data that made legislative advocacy possible. Data preceded legislation in every US state that adopted the CROWN Act.

What Exists in Europe

By comparison, Europe’s data landscape on hair discrimination is sparse.

No equivalent prevalence studies. No European research institution has conducted a population-scale study measuring the prevalence of hair discrimination comparable to the Dove/LinkedIn research.

No standardised measurement instrument. No validated index exists to quantify hair discrimination in European contexts — across different languages, legal systems, and cultural norms. The CROWN Discrimination Index is being developed to fill precisely this gap.

No sensor-verified hair data. European hair research relies on proprietary datasets held by cosmetics companies (L’Oreal, Henkel) or on clinical dermatological data that was not collected with discrimination research in mind. No open, multi-ethnic, sensor-verified dataset exists. The CROWN Hair Commons aims to create one.

No linked psychosocial data. Even where hair data exists in Europe, it is not linked to psychosocial outcomes — discrimination experiences, mental health indicators, career impacts. CROWN’s research design links diagnostic data with CDI survey responses, creating the multi-dimensional dataset needed for evidence-based policy.

Limited disaggregation. EU-wide discrimination surveys (FRA EU-MIDIS) document that 56 percent of ethnic minorities experienced discrimination in the preceding year (OECD, 2025), but do not disaggregate appearance-based discrimination from other forms, making it impossible to quantify hair discrimination specifically.

Why the Gap Matters

The absence of data is not neutral. It has three concrete consequences.

Legislative inaction. In the United States, quantitative evidence drove legislative change. When Dove’s research showed that Black women’s hair is 2.5 times more likely to be perceived as unprofessional, this statistic appeared in legislative hearings, committee reports, and floor speeches. Without equivalent European data, advocates for legislation like France’s Serva bill must rely on American statistics — which European legislators reasonably question as applicable to different social contexts.

Institutional blind spots. European equality bodies cannot address what they cannot measure. When discrimination surveys do not capture hair-based bias, the resulting data shows no problem — not because the problem does not exist, but because the instruments were not designed to detect it.

Corporate inertia. Companies committed to diversity and inclusion lack the benchmarking tools to assess whether their grooming policies, hiring practices, or workplace cultures discriminate against textured hair. Without a measurable index, “inclusion” remains aspirational rather than verifiable.

CROWN’s Response

CROWN’s entire research and technology programme is designed to close the data gap. The components are interdependent.

The CROWN Diagnostic produces objective, sensor-verified hair data at individual level. The CROWN Hair Commons aggregates this data at population scale. The CROWN Discrimination Index transforms the data into a standardised metric that policymakers, researchers, and corporations can use. The legislative hub translates the evidence into formats that inform legal deliberation.

Each component addresses a specific dimension of the gap. Together, they build the measurement infrastructure that Europe currently lacks — the infrastructure that must exist before legislation, corporate policy, and institutional practice can be grounded in evidence rather than assumption.

Explore the data in detail:

• Gap Visualisation — a visual comparison of US and European data infrastructure
• Key Statistics — every significant statistic on hair discrimination, properly cited
• Source Library — the complete bibliography informing CROWN’s work
• Policy Briefs — evidence translated for policymakers