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Report on a seminar on current problems and trends in the efforts of the Census Bureau of the USA in attempting to provide and develop statistical services. Covers the right of privacy and the problem of confidentiality, the evolution of economic indicators and social indicators, data collecting and data processing.
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.
Includes changes entitled Public bulletin.
The State and Metropolitan Area Data Book is the continuation of the U.S. Census Bureau’s discontinued publication. It is a convenient summary of statistics on the social and economic structure of the states, metropolitan areas, and micropolitan areas in the United States. It is designed to serve as a statistical reference and guide to other data publications and sources. This new edition features more than 1,500 data items from a variety of sources. It covers many key topical areas including population, birth and death rates, health coverage, school enrollment, crime rates, income and housing, employment, transportation, and government. The metropolitan area information is based on the la...
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.
How to parse, analyze, and incorporate census data This handy resource offers a reference guide for anyone interested in tailoring specific Census data to their needs. It includes computer coding (SAS v9.x) software for extracting targeted data from thousands of Census files, as well as primers on using online tools and mapping software for analyzing data. The book offers thorough coverage of all aspects of census data including its historical significance, suggestions for parsing housing, occupation, transportation, economic, health, and other data from the census, and much more. Offers an guide to analyzing Census data that can have an impact on financial markets as well as housing and eco...