In provocative terms that push the envelope of technical, administrative, and legal capabilities, Swanson and Walashek propose a re-vamped US census based neither on the current system, self-enumeration, nor its predecessor, door-to-door canvassing. Instead, they propose that it be built on a combination of four elements: (1) administrative records; (2) the continuously updated Master Address File; (3) survey data; and (4) modeling and imputation techniques. They use “Census-Enhanced Master Address File (CEMAF) as a descriptive term for their proposal, which is based on four principles and includes a proposal for an independent Census Bureau. They argue that evidence suggests that the methods used to conduct traditional census counts may be at the end of their useful working lives, as evidenced by increasing costs and declining response rates. Some of their ideas will seem farfetched. However, Swanson and Walashek believe this is the time to discuss radical proposals as governments re-examine the utility of traditional census counts and consider reductions, as is the case in Canada and England. This SpringerBriefs should be on the reading list of staff in statistical agencies grappling with rising costs and declining response rates, as well as census stakeholders concerned about costs, accuracy, and census utility.

This book details cutting-edge methods and findings that may shape the future of applied demography. Inside, readers will discover new insights into the databases, substantive issues, and methodological approaches that can help them to improve how they use demography in decision making and planning problems in both public and private settings. The topics and perspectives are found in the book’s 23 chapters, which are organized into three major sections: (I) Demographic Information for Decision-Making: Case Studies; (II) Data: Issues and Analyses; and (III) Projection and Estimation Methods: Evaluations, Examples, and Discussions. Coverage includes chapters on migration, demographic market analysis, future courtroom needs, trends in the needs of the elderly, access to health care, longitudinal data systems, census costs, and new approaches to small area estimation and projection methods. The case studies represent a wide range of countries, including Australia, Canada, China, England, India, Japan, and the United States of America. Overall, this edited volume collects papers that were presented at different conferences, including the 8th international conference on population geographies (University of Queensland, 2015), the 2014 Applied Demography Conference (San Antonio, Texas, USA), and the annual conference of the Canadian Population Society. Applied demography touches many aspects of our lives and its practitioners continue to push methodological and empirical boundaries. This book documents the steady evolution of this field. It shows demographers, sociologists, economists, planners, marketers, and others how they can improve the quality and relevance of demographic information now and in the future.

Providing a unified and comprehensive treatment of the theory and techniques of sub-national population estimation, this much-needed publication does more than collate disparate source material. It examines hitherto unexplored methodological links between differing types of estimation from both the demographic and sample-survey traditions and is a self-contained primer that combines academic rigor with a wealth of real-world examples that are useful models for demographers. Between censuses, which are expensive, administratively complex, and thus infrequent, demographers and government officials must estimate population using either demographic modeling techniques or statistical surveys that sample a fraction of residents. These estimates play a central role in vital decisions that range from funding allocations and rate-setting to education, health and housing provision. They also provide important data to companies undertaking market research. However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sources—an issue this volume tackles head-on. Rapidly increasing population mobility is making inter-census estimation ever more important to strategic planners. This book will make the theory and techniques involved more accessible to anyone with an interest in developing or using population estimates.

This textbook focuses on the cohort change ratio (CCR) method. It presents powerful, yet relatively simple ways to generate accurate demographic estimates and forecasts that are cost efficient and require fewer resources than other techniques. The concepts, analytical frameworks, and methodological tools presented do not require extensive knowledge of demographics, mathematics, or statistics. The demographic focus is on the characteristics of populations, especially age and sex composition, but these methods are applicable estimating and forecasting other characteristics and total population. The book contains more traditional applications such as the Hamilton-Perry method, but also includes new applications of the CCR method such as stable population theory. Real world empirical examples are provided for every application; along with excel files containing data and program code, which are accessible online. Topics covered include basic demographic measures, sources of demographic information, forecasting and estimating (both current and historical) populations, modifications to current methods, forecasting school enrollment and other characteristics, estimating life expectancy, stable population theory, decomposition of the CCR into its migration and mortality components, and the utility of the CCR. This textbook is designed to provide material for an advanced undergraduate or graduate course on demographic methods. It can also be used as a supplement for other courses including applied demography, business and economic forecasting and market research.

The present volume undertakes socio-demographic analyses of four major topics surrounding the COVID-19 pandemic: Data Issues; Statistical Modeling; Analyses; and Policy Concerns. Regarding Data Issues, three chapters cover topics about obtaining reliable information; the production of summary statistics and using the geometric mean; and the importance of using a Demographic framework in better understanding the COVID-19 pandemic. Statistical modeling is a second topic, and is covered by three chapters. To begin with, one approach centers on modeling local areas. A second chapter discusses and provides a simple method for estimating the number of unconfirmed COVID-19 cases in a local area; a third chapter undertakes an examination of early warnings and responses. Analysis is a third topic and is covered by four chapters. The first chapter under this topic covers the effects of race and age on COVID-19. A second chapter examines the effects of COVID-19 on the broadband access and Census 2020 results for the Hopi and Lummi reservations. A third chapter examines the Black Lives Matters activism during the COVID-19 pandemic. A final chapter in this section examines the relative risk of dying from COVID-19 among those infected. A final topic focuses on policy issues. The first chapter under this topic examines partisan politics and COVID-19. A second chapter examines US policy and COVID-19 cases and deaths. A third chapter examines COVID-19 mortality rates and race-ethnic differences. A fourth chapter examines anti-Asian hate during the COVID-19 pandemic. A final chapter looks at America’s post-pandemic future.

Textbook on sampling and data collecting methodology for sample surveys and censuses - includes chapters on estimation of the sampling error, planning, data analysis and administrative aspects, the use of computers, etc. Bibliography pp. 401 to 433, graphs and statistical tables.