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'CENSUS is a vital testament to selfless love; a psalm to commonplace miracles; and a mysterious evolving metaphor. So kind, it aches.' David Mitchell, author of Cloud Atlas A father and son who are census takers journey across a nameless country from the town of A to the town of Z in the wake of the father's fatal diagnosis. Knowing that his time is menacingly short, the father takes his son, who requires close and constant adult guidance, on this trip of indefinite length. Their feelings for each other are challenged and bolstered as they move in and out of a variety of homes, meeting a variety of different people. Census is about the ways in which people react to the son's condition, to the son as a person in the world. It is about discrimination and acceptance, kindness and art, education and love. It is a profoundly moving novel, glowing with wisdom and grace, roaring with a desire to change the world.
This open access book describes the differences in US census coverage, also referred to as “differential undercount”, by showing which groups have the highest net undercounts and which groups have the greatest undercount differentials, and discusses why such undercounts occur. In addition to focusing on measuring census coverage for several demographic characteristics, including age, gender, race, Hispanic origin status, and tenure, it also considers several of the main hard-to-count populations, such as immigrants, the homeless, the LBGT community, children in foster care, and the disabled. However, given the dearth of accurate undercount data for these groups, they are covered less comprehensively than those demographic groups for which there is reliable undercount data from the Census Bureau. This book is of interest to demographers, statisticians, survey methodologists, and all those interested in census coverage.
The U.S. census, conducted every 10 years since 1790, faces dramatic new challenges as the country begins its third century. Critics of the 1990 census cited problems of increasingly high costs, continued racial differences in counting the population, and declining public confidence. This volume provides a major review of the traditional U.S. census. Starting from the most basic questions of how data are used and whether they are needed, the volume examines the data that future censuses should provide. It evaluates several radical proposals that have been made for changing the census, as well as other proposals for redesigning the year 2000 census. The book also considers in detail the much-criticized long form, the role of race and ethnic data, and the need for and ways to obtain small-area data between censuses.
Exploring the U.S. Census gives social science students and researchers alike the tools to understand, extract, process, and analyze data from the decennial census, the American Community Survey, and other data collected by the U.S. Census Bureau. Donnelly′s text provides a thorough background on the data collection methods, structures, and potential pitfalls of the census for unfamiliar researchers, collecting information previously available only in widely disparate sources into one handy guide. Hands-on, applied exercises at the end of the chapters help readers dive into the data. Along the way, the author shows how best to analyze census data with open-source software and tools. Readers can freely evaluate the data on their own computers, in keeping with the free and open data provided by the Census Bureau. By placing the census in the context of the open data movement, this text makes the history and practice of the census relevant so readers can understand what a crucial resource the census is for research and knowledge.
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.
This fascinating three-thousand-year history of the census traces the making of the modern survey and explores its political power in the age of big data and surveillance. In April 2020, the United States will embark on what has been called "the largest peacetime mobilization in American history": the decennial population census. It is part of a tradition of counting people that goes back at least three millennia and now spans the globe. In The Sum of the People, data scientist Andrew Whitby traces the remarkable history of the census, from ancient China and the Roman Empire, through revolutionary America and Nazi-occupied Europe, to the steps of the Supreme Court. Marvels of democracy, instruments of exclusion, and, at worst, tools of tyranny and genocide, censuses have always profoundly shaped the societies we've built. Today, as we struggle to resist the creep of mass surveillance, the traditional census -- direct and transparent -- may offer the seeds of an alternative.