Brazil in black and white? Race categories, the census, and the study of inequality
Abstract
Many scholars advocate the adoption of a black-and-white lens for the analysis of racial inequality in Brazil. Drawing on a nationally representative dataset that includes race questions in multiple formats, we evaluate how removal of the ‘brown’ category from the census or other social surveys would likely affect: (1) the descriptive picture of Brazil's racial composition; and (2) estimates of income inequality between and within racial categories. We find that a forced binary question format results in a whiter and more racially unequal picture of Brazil through the movement of many higher income mixed-race respondents into the white category. We also find that regardless of question format, racial inequality in income accounts for relatively little of Brazil's overall income inequality. We discuss implications for public policy debates in Brazil, and for the broader scientific and political challenges of ethnic and racial data collection and analysis.
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These mismatches can significantly impact health statistics, population statistics, and measures of social inequality.
“This in turn can significantly impact health statistics [62, 101], population statistics [8, 74], and measures of social inequality [102].”
From Towards a critical race methodology in algorithmic fairness (2020) · cites this paper as [74]
Cites
Does it matter who answers the race question? Racial classification and income inequality in Brazil
Telles, E. E., & Lim, N. (1998) · Demography · doi:10.2307/3004014 · Cited by 280 · see citing works
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Towards a critical race methodology in algorithmic fairness
Hanna, A., Denton, R., Smart, A., & Smith-Loud, J. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency · doi:10.1145/3351095.3372826 · Cited by 295 · see citing works
“lt in mismatches between different measures of race for the same individual across different time points or across studies. Thisinturncansignificantlyimpacthealthstatistics[62,101],population statistics [8, 74], and measures of social inequality [102]. Country-specific understandings of what "race" references an…”
- Authors
- Loveman, M., Muniz, J. O., & Bailey, S. R.
- Corresponding author
- Loveman, Mara
- ORCID
- Loveman, Mara
- Venue
- Ethnic and Racial Studies
- Publisher
- Informa UK Limited
- Published
- 2012-08
- Volume
- 35
- Issue
- 8
- Pages
- 1466-1483
- ISSN
- 0141-9870 (ISSN-L)
- 1466-4356
- OpenAlex
- W1987671711
- Cited by
- 116
- References
- 1
- Citations by year
- 2026: 7 · 2025: 15 · 2024: 8 · 2023: 6 · 2022: 9 · 2021: 9 · 2020: 11 · 2019: 6 · 2018: 18 · 2017: 10 · 2016: 5 · 2015: 3 · 2014: 5 · 2013: 1 · 2012: 3
- FWCI
- 9.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ethnic and Racial Studies (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Income, Poverty, and Inequality
- Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
- Social Sciences › Sociology and Political Science › Race, Identity, and Education in Brazil
- Keywords
- race categories, racial inequality, income inequality, census question design, racial classification, racial composition, Brazil, ethnic data collection
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