ABSTRACT This study advances the racial occupational segregation literature by modelling the intersections of race, gender and place. Analysis of confidential 2021 Canadian Census microdata finds that approximately one‐quarter of Black men or women would have to change occupations for distributions to be similar to their White counterparts. We then augment the largely descriptive Black−White occupational segregation research by using counterfactual conditional segregation techniques. Compared to men, the occupational segregation of Black and White women is explained more by compositional differences in educational attainments, immigrant status and language use. However, the importance of place also cannot be ignored. Language differences between groups matter little in Toronto but are more important for occupational segregation in Montreal. Large Black−White differences in the percentage foreign‐born also play a crucial role in explaining women's levels of occupational segregation in Montreal. These findings emphasize the gender and place variations in Black−White inequalities.
Kaida et al. (Wed,) studied this question.