Numbers, Facts and Trends Shaping Your World
Read our research on:
Black and Hispanic Americans See Their Origins as Central to Who They Are, Less So for White Adults
About half of U.S. adults say census questions reflect own identity very well
Embed
Infographic Gallery
- Black and Hispanic Americans See Their Origins as Central to Who They Are, Less So for White Adults
- Six-in-ten Americans say they are very familiar with their origins. Black and Hispanic adults feel more connected to roots than White adults
- About half of U.S. adults say census questions reflect own identity very well
- Black and Hispanic adults are more likely than White adults to say origins central to their identity
- How do multiracial adults compare with other groups on questions about identity?
- The two different ways we asked about race and ethnicity
- Only about half of Hispanics had matched self-descriptions and responses to census questions
- Six-in-ten Americans said they were very familiar with their origins
- Americans were split on whether they felt connected to their family’s origins
- Most White adults didn’t see their origins as central to their identity
- The survey used the two-step race and ethnicity questions from the 2020 census to ask for respondents’ origins
- Majorities of White and Black respondents provided an origin
- Those with more education more likely to provide an origin
- Large majority of Black respondents identified ‘African American’ as origin
- Most adults’ self-described race and ethnicity match census answers
- How the 2020 census asked about Hispanic origin and race
- Asked to describe their race and ethnicity, most write a usable answer
- About half of U.S. adults say census questions reflect own identity very well
- For Hispanics, importance of origins slips across immigrant generations
- ‘Hispanic’ is most common race or ethnicity given by adults indicating Latin American or Spanish origins in open-ended identity question
- More than half of Hispanics say their race is White
- Weighting dimensions
- Unweighted sample sizes and the error attributable to sampling