Abstract: Studies on racial classification systems in Brazil reveal the influence of socioeconomic factors in the expression of color/race categories, especially for whites and blacks. The aim of this study was to analyze specific family arrangements between fathers, mothers, and children, at least one of whom was indigenous. Based on the sample from the 2010 Population Census, we selected households with at least three residents (father, mother, and children), at least one of whom was indigenous. Children were characterized according to color/race (white, brown, and indigenous), sex, age, per capita household income, maternal schooling, and number of urban and rural household residents. Descriptive and multinomial logistic regression analyses were performed. We estimated a total of 290.247 children (of whom 77.1% were classified as indigenous, 13.8% brown, and 9.1% white), 74.3% living in rural households and 41.3% in the North region of Brazil; children classified as white and brown were located mostly in urban areas. The odds of children of indigenous fathers or mothers being classified as white were higher in the Southeast and South. The odds of children being classified as white or brown increased proportionally with monthly income and maternal schooling. The findings show that socioeconomic status is significantly associated with color/race classification in Brazil, including in indigenous households.

ABSTRACT OBJECTIVE To evaluate food consumption in Brazil by race/skin color of the population. METHODS Food consumption data from the Pesquisa de Orçamentos Familiares (POF – Household Budget Survey) 2017–2018 were analyzed. Food and culinary preparations were grouped into 31 items, composing three main groups, defined by industrial processing characteristics: 1 – in natura/minimally processed, 2 – processed, and 3 – ultra-processed. The percentage of calories from each group was estimated by categories of race/skin color – White, Black, Mixed-race, Indigenous, and Yellow– using crude and adjusted linear regression for gender, age, schooling, income, macro-region, and area. RESULTS In the crude analyses, the consumption of in natura/minimally processed foods was lower for Yellow [66.0% (95% Confidence Interval 62.4–69.6)] and White [66.6% (95%CI 66.1–67.1)] groups than for Blacks [69.8% (95%CI 68.9–70.8)] and Mixed-race people [70.2% (95%CI 69.7–70.7)]. Yellow individuals consumed fewer processed foods, with 9.2% of energy (95%CI 7.2–11.1) whereas the other groups consumed approximately 13%. Ultra-processed foods were less consumed by Blacks [16.6% (95%CI 15.6–17.6)] and Mixed-race [16.6% (95%CI 16.2–17.1)], with the highest consumption among White [20.1% (95%CI 19.6–20.6)] and Yellow [24.5% (95%CI 20.0–29.1)] groups. The adjustment of the models reduced the magnitude of the differences between the categories of race/skin color. The difference between Black and Mixed-race individuals from the White ones decreased from 3 percentage points (pp) to 1.2 pp in the consumption of in natura/minimally processed foods and the largest differences remained in the consumption of rice and beans, with a higher percentage in the diet of Black and Mixed-race people. The contribution of processed foods remained approximately 4 pp lower for Yellow individuals. The consumption of ultra-processed products decreased by approximately 2 pp for White and Yellow groups; on the other hand, it increased by 1 pp in the consumption of Black, Mixed-race, and Indigenous peoples. CONCLUSION Differences in food consumption according to race/skin color were found and are influenced by socioeconomic and demographic conditions.