Social Indicators by Race, Ethnicity, and Social Background: Brazil, India, the United States

John Trumpbour
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Abstract

ew nations of the world collect national economic and social data broken down by race and ethnicity, and this absence is particularly striking in the vast statistical collections of the Organization of Economic Cooperation and Development (OECD). Nevertheless, three of the world’s five most populous nations—India (1.2 billion), the United States (311 million), and Brazil (192 million), make efforts in this area. The statistical record indicates that income and labor market conditions are significantly stratified by racial and ethnic backgrounds in these nations. While there are examples of racial and ethnic minorities who outperform the dominant majority or traditional power bloc in these democracies, the available statistics paint a grim picture, showing dramatically higher poverty and unemployment levels for those belonging to certain racial and ethnic classifications. Often at the apex of income inequality in the world, Brazil has watched notable shrinkage during the Lula years in its Gini coefficient, the most widely used measure of disparities of wealth and income. But the stratification remains enormous. Whites still earn double the income of black/brown workers, though for the university-educated black/brown population the salary gap is narrower, approximately 15 percent less than for university-educated whites. Since the late 1970s, the United States has seen remarkable leaps of inequality under both Democrat and Republican regimes, though African Americans had made striking gains between the 1940s and the mid-1970s. India classifies many of its different peoples with categories that sound archaic and offensive in the postmodern and politically correct circles of the contemporary West: “Scheduled Castes” (SC), “Scheduled Tribes” (ST), and “Other Backward Classes”
种族、民族和社会背景的社会指标:巴西、印度、美国
世界上的新国家收集按种族和民族分类的国民经济和社会数据,这种缺失在经济合作与发展组织(经合发组织)庞大的统计收集中尤其引人注目。然而,世界上人口最多的五个国家中的三个——印度(12亿)、美国(3.11亿)和巴西(1.92亿)——在这方面做出了努力。统计记录表明,在这些国家,收入和劳动力市场状况因种族和民族背景而明显分层。虽然在这些民主国家中也有少数种族和民族表现优于占主导地位的多数人或传统权力集团的例子,但现有的统计数据描绘了一幅严峻的画面,显示属于某些种族和民族分类的人的贫困和失业率急剧上升。巴西通常处于世界收入不平等的顶峰,在卢拉执政期间,巴西的基尼系数显著下降。基尼系数是衡量财富和收入差距的最广泛使用的指标。但分化仍然很大。白人的收入仍然是黑人/棕色人种的两倍,尽管受过大学教育的黑人/棕色人种的收入差距较小,大约比受过大学教育的白人少15%。自20世纪70年代末以来,美国的不平等在民主党和共和党政权下都出现了显著的飞跃,尽管非裔美国人在20世纪40年代至70年代中期取得了显著的进步。印度对许多不同的民族进行分类,这些分类在当代西方后现代和政治正确的圈子里听起来既古老又令人反感:“排定种姓”(SC)、“排定部落”(ST)和“其他落后阶级”。
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