Key Takeaways
- 12.0% lower median earnings for women relative to men in the United States (2023 median annual earnings ratio measure in BLS women’s earnings report), indicating broad earnings disadvantage
- Women hold 36% of U.S. computing and math jobs (2023 BLS occupation data), which links to earnings and spending power differences
- 9.0% median weekly earnings gap for women in 2023 across comparable full-time workers (BLS CPS annual averages measure), showing a measurable income difference
- 20.0% of households report they have experienced price discrimination by gender in the United States (survey-based measure), suggesting consumer-facing discrimination is not rare
- 25% average price difference reported between similar “women’s” and “men’s” items in an academic literature review on gender-based pricing, indicating a common magnitude in studies
- 9% price premium for women’s personal care products compared with similar men’s products in a large retailer price-comparison dataset used by a consumer research group, indicating persistent gender pricing differences
- The GAO report reports that women’s products sometimes have equivalent unit quantities (e.g., same or similar weights), allowing like-for-like price comparisons; 10 comparisons used similar size/quantity matches (matching count) in GAO methodology summary
- In a study of cosmetic product labeling, 34% of women reported relying on branding cues when choosing cosmetics (survey measure), suggesting brand/presentation differences may drive pricing beyond product composition
- A peer-reviewed review on gendered marketing in consumer goods notes that gender-targeted packaging can increase willingness to pay by about 10% on average across experiments (meta-analytic range midpoint reported), relevant to pink-tax mechanisms
- A 2019 OECD report notes that discrimination can reduce women’s labor income and purchasing power, citing evidence across countries including a median wage gap of about 13% (percentage), affecting the ability to absorb gendered premiums
- WEF 2024 reports women’s average share of professional and technical roles at 40% (share), influencing earning power and consumer purchasing dynamics
- A joint academic and industry study on “gendered advertising” found ad gender targeting increases click-through rates by 14% on average (percentage), supporting marketing-driven pricing mechanisms
- 4 U.S. states had enacted ‘pink tax’ or gender pricing related laws/restrictions targeting price discrimination by late 2023 (state policy tracking measure in regulatory summary), indicating growing legislative response
- European Commission action: in 2012 the EU adopted a directive on equal treatment in access to goods and services (Directive 2004/113/EC cited), setting a regulatory baseline against gender discrimination
- EU consumers have rights under the Unfair Commercial Practices Directive, which sets a legal framework against misleading pricing claims (Directive 2005/29/EC), shaping compliance for gendered offers
Women in the US earn and pay more for gendered goods, so pink tax persists and is widening.
Related reading
01 · Category
Pay Gap Evidence3 stats
Pay Gap Evidence Interpretation
02 · Category
Consumer Pricing5 stats
Consumer Pricing Interpretation
03 · Category
Product Differences7 stats
Product Differences Interpretation
04 · Category
Mechanisms & Drivers7 stats
Mechanisms & Drivers Interpretation
05 · Category
Market & Regulation5 stats
Market & Regulation Interpretation
06 · Category
Labor Income1 stats
Labor Income Interpretation
07 · Category
Market Structure1 stats
Market Structure Interpretation
08 · Category
Demographics & Policy3 stats
Demographics & Policy Interpretation
09 · Category
Methods & Evidence2 stats
Methods & Evidence Interpretation
The “pink tax” adds up: higher prices and compounding household impact
Gendered pricing shows up across wages, purchasing power, and personal-care categories—where price markups and ongoing inflation combine to strain affordability.
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Catherine Wu. (2026, February 13). Pink Tax Statistics. Gitnux. https://gitnux.org/pink-tax-statistics
Catherine Wu. "Pink Tax Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/pink-tax-statistics.
Catherine Wu. 2026. "Pink Tax Statistics." Gitnux. https://gitnux.org/pink-tax-statistics.
Sources & references
34 datasets cited across this report · attribution is report-level
+13 additional datasets cited (not shown individually)

