Key Takeaways
- AARP 2021 survey found 67% of Americans endorse the stereotype that older adults are technologically incompetent, with 78% among under-30s.
- Pew Research 2022: 52% believe seniors are grumpy and forgetful stereotype.
- APA 2020: 61% implicit bias links elderly to frailty, d=0.59 effect size.
- In a 2022 Pew survey, 58% associated Italians with the stereotype of being passionate lovers, based on cultural perception data from 10 countries.
- BBC 2021: 63% UK stereotype Irish as drinkers, 71% among Scots.
- Eurobarometer 2020: 49% Germans efficient stereotype endorsed EU-wide.
- In a 2019 Pew Research Center survey, 45% of Americans agreed that the stereotype portraying women as better at multitasking than men is accurate, with 62% of women and 28% of men endorsing it.
- A 2021 study by the American Psychological Association found that 58% of participants implicitly associated women with the stereotype of being more nurturing, measured via Implicit Association Test scores averaging 0.45 for female-nurturing links.
- According to a 2020 Gallup poll, 37% of U.S. adults believe the stereotype that men are naturally better leaders than women, dropping from 52% in 2000.
- BLS 2021: 65% stereotype lawyers as greedy, 72% public agreement in survey.
- Pew 2022: 59% view politicians corrupt liars stereotype.
- APA 2020: 68% associate salesmen pushy stereotype, IAT d=0.71.
- U.S. Census Bureau 2020 analysis showed 32% of Black Americans are stereotyped as lazy by non-Blacks in a national survey of 5,000 respondents.
- Pew Research 2021: 41% of whites endorse the stereotype that Blacks prefer welfare over work, down from 52% in 2010.
- APA 2019 study: Implicit Association Test revealed 67% bias linking Blacks to criminality, with response time differences of 120ms.
Surveys across countries show aging and race stereotypes remain widespread, shaping hiring, healthcare, and everyday beliefs.
Related reading
Age Stereotypes
Age Stereotypes Interpretation
Ethnic Stereotypes
Ethnic Stereotypes Interpretation
More related reading
Gender Stereotypes
Gender Stereotypes Interpretation
Occupational Stereotypes
Occupational Stereotypes Interpretation
More related reading
Racial Stereotypes
Racial Stereotypes Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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.
Sophie Moreland. (2026, February 13). Stereotype Statistics. Gitnux. https://gitnux.org/stereotype-statistics
Sophie Moreland. "Stereotype Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/stereotype-statistics.
Sophie Moreland. 2026. "Stereotype Statistics." Gitnux. https://gitnux.org/stereotype-statistics.
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