A historical overview of the census race question—and a bold proposal for eliminating it America is preoccupied with race statistics—perhaps more than any other nation. Do these statistics illuminate social reality and produce coherent social policy, or cloud that reality and confuse social policy? Does America still have a color line? Who is on which side? Does it have a different "race" line—the nativity line—separating the native born from the foreign born? You might expect to answer these and similar questions with the government's "statistical races." Not likely, observes Kenneth Prewitt, who shows why the way we count by race is flawed. Prewitt calls for radical change. The nation needs to move beyond a race classification whose origins are in discredited eighteenth-century race-is-biology science, a classification that once defined Japanese and Chinese as separate races, but now combines them as a statistical "Asian race." One that once tried to divide the "white race" into "good whites" and "bad whites," and that today cannot distinguish descendants of Africans brought in chains four hundred years ago from children of Ethiopian parents who eagerly immigrated twenty years ago. Contrary to common sense, the classification says there are only two ethnicities in America—Hispanics and non-Hispanics. But if the old classification is cast aside, is there something better? What Is Your Race? clearly lays out the steps that can take the nation from where it is to where it needs to be. It's not an overnight task—particularly the explosive step of dropping today's race question from the census—but Prewitt argues persuasively that radical change is technically and politically achievable, and morally necessary.

Introduction : the paradox -- The scientific sources of the paradox -- The political sources of the paradox -- International pragmatism -- Sociological knowledge -- Conceptions of racism -- Ethnic origin and ethnicity -- Collective action -- Conclusion : the paradox resolved.

From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the “New Jim Code,” she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture. Visit the book's free Discussion Guide: www.dropbox.com

In this #1 New York Times bestseller, Ijeoma Oluo offers a revelatory examination of race in America Protests against racial injustice and white supremacy have galvanized millions around the world. The stakes for transformative conversations about race could not be higher. Still, the task ahead seems daunting, and it’s hard to know where to start. How do you tell your boss her jokes are racist? Why did your sister-in-law hang up on you when you had questions about police reform? How do you explain white privilege to your white, privileged friend? In So You Want to Talk About Race, Ijeoma Oluo guides readers of all races through subjects ranging from police brutality and cultural appropriation to the model minority myth in an attempt to make the seemingly impossible possible: honest conversations about race, and about how racism infects every aspect of American life. "Simply put: Ijeoma Oluo is a necessary voice and intellectual for these times, and any time, truth be told." ―Phoebe Robinson, New York Times bestselling author of You Can't Touch My Hair

In their later years, Americans of different racial and ethnic backgrounds are not in equally good-or equally poor-health. There is wide variation, but on average older Whites are healthier than older Blacks and tend to outlive them. But Whites tend to be in poorer health than Hispanics and Asian Americans. This volume documents the differentials and considers possible explanations. Selection processes play a role: selective migration, for instance, or selective survival to advanced ages. Health differentials originate early in life, possibly even before birth, and are affected by events and experiences throughout the life course. Differences in socioeconomic status, risk behavior, social relations, and health care all play a role. Separate chapters consider the contribution of such factors and the biopsychosocial mechanisms that link them to health. This volume provides the empirical evidence for the research agenda provided in the separate report of the Panel on Race, Ethnicity, and Health in Later Life.

Disparities in health and health care across racial, ethnic, and socioeconomic backgrounds in the United States are well documented. The reasons for these disparities are, however, not well understood. Current data available on race, ethnicity, SEP, and accumulation and language use are severely limited. The report examines data collection and reporting systems relating to the collection of data on race, ethnicity, and socioeconomic position and offers recommendations.

An introduction to the dynamic complexity of American ethnic life and Latino identity Latinos are the fastest growing population group in the United States.Through their language and popular music Latinos are making their mark on American culture as never before. As the United States becomes Latinized, how will Latinos fit into America's divided racial landscape and how will they define their own racial and ethnic identity? Through strikingly original historical analysis, extensive personal interviews and a careful examination of census data, Clara E. Rodriguez shows that Latino identity is surprisingly fluid, situation-dependent, and constantly changing. She illustrates how the way Latinos are defining themselves, and refusing to define themselves, represents a powerful challenge to America's system of racial classification and American racism.

Many racial and ethnic groups in the United States, including blacks, Hispanics, Asians, American Indians, and others, have historically faced severe discriminationâ€"pervasive and open denial of civil, social, political, educational, and economic opportunities. Today, large differences among racial and ethnic groups continue to exist in employment, income and wealth, housing, education, criminal justice, health, and other areas. While many factors may contribute to such differences, their size and extent suggest that various forms of discriminatory treatment persist in U.S. society and serve to undercut the achievement of equal opportunity. Measuring Racial Discrimination considers the definition of race and racial discrimination, reviews the existing techniques used to measure racial discrimination, and identifies new tools and areas for future research. The book conducts a thorough evaluation of current methodologies for a wide range of circumstances in which racial discrimination may occur, and makes recommendations on how to better assess the presence and effects of discrimination.

'Every voice raised against racism chips away at its power. We can't afford to stay silent. This book is an attempt to speak' The book that sparked a national conversation. Exploring everything from eradicated black history to the inextricable link between class and race, Why I'm No Longer Talking to White People About Race is the essential handbook for anyone who wants to understand race relations in Britain today. THE NO.1 SUNDAY TIMES BESTSELLER WINNER OF THE BRITISH BOOK AWARDS NON-FICTION NARRATIVE BOOK OF THE YEAR 2018 FOYLES NON-FICTION BOOK OF THE YEAR BLACKWELL'S NON-FICTION BOOK OF THE YEAR WINNER OF THE JHALAK PRIZE LONGLISTED FOR THE BAILLIE GIFFORD PRIZE FOR NON-FICTION LONGLISTED FOR THE ORWELL PRIZE SHORTLISTED FOR A BOOKS ARE MY BAG READERS AWARD

The goal of eliminating disparities in health care in the United States remains elusive. Even as quality improves on specific measures, disparities often persist. Addressing these disparities must begin with the fundamental step of bringing the nature of the disparities and the groups at risk for those disparities to light by collecting health care quality information stratified by race, ethnicity and language data. Then attention can be focused on where interventions might be best applied, and on planning and evaluating those efforts to inform the development of policy and the application of resources. A lack of standardization of categories for race, ethnicity, and language data has been suggested as one obstacle to achieving more widespread collection and utilization of these data. Race, Ethnicity, and Language Data identifies current models for collecting and coding race, ethnicity, and language data; reviews challenges involved in obtaining these data, and makes recommendations for a nationally standardized approach for use in health care quality improvement.