Identifying Differential Undercounts At Local Geographic Levels A Targeting Database Approach

To achieve its principal goals of reducing the differential undercount and containing costs, the Census Bureau is committed to using new methods to take the 2000 Census. One way is to target hard-to-count areas in advance of the census, where special enumeration and outreach tools will be used (such as blitz enumeration, use of local facilitators, assistance centers in large multi-unit buildings, mailout of Spanish questionnaires). The hard-to-count areas need to be defined for small geographic units (e.g., tracts, block groups) - a level which gives the field staff flexibility to use specific tools tailored to meet the characteristics of the population.

In dispute is the proposed census sampling technique for addressing the problem of undercount. Media reports often suggest that experts share a consensus that sampling would heighten the accuracy of the census. This text presents a scientific case against the proposed procedure.

This book covers several dimensions of the undercount of young children in the U.S. Decennial Census, examines the data from the 2010 U.S. Decennial Census in detail and looks at trends in the undercount of children over time. Other aspects included are the geographic distribution of the net undercount and an exploration for some of the potential explanations for the high net undercount of children. The number of young children in the US is growing, but almost one million young children (under age 5) were missed in the 2010 U.S. Decennial Census. The net undercount of young children has been higher than any other age group for the past several decades and is increasing rapidly, but little attention has been paid to the issue but demographers or the public.

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 population and housing census is part of an integrated national statistical system, which may include other censuses (for example, agriculture), surveys, registers and administrative files. It provides, at regular intervals, the benchmark for population count at national and local levels. For small geographical areas or sub-populations, it may represent the only source of information for certain social, demographic and economic characteristics. For many countries the census also provides a solid framework to develop sampling frames. This publication represents one of the pillars for data collection on the number and characteristics of the population of a country.

This report reviews patterns in migration within the U.S. over the past thirty years. Internal migration has fallen noticeably since the 1980s, reversing increases from earlier in the century. The decline in migration has been widespread across demographic and socioeconomic groups, as well as for moves of all distances. Although a convincing explanation for the secular decline in migration remains elusive and requires further research, the authors find only limited roles for the housing market contraction and the economic recession in reducing migration recently. Despite its downward trend, migration within the U.S. remains higher than that within most other developed countries. Charts and tables. This is a print on demand report.

According to the Centers for Disease Control and Prevention (CDC), 115 Americans die each day from an opioid overdose, which averages one death every 12.5 minutes. Between 1999 and 2016, the number of drug overdoses catapulted by 300 percent, with injection drug use increasing by 93 percent between 2004 and 2014 and opioid-related hospital admissions increasing by 58 percent over the past decade. And an inexorable sequela of the opioid epidemic is the spread of infectious diseases. To address these infectious disease consequences of the opioid crisis, a public workshop titled Integrating Infectious Disease Considerations with Response to the Opioid Epidemic was convened on March 12 and 13, 2018, by the National Academies of Sciences, Engineering, and Medicine. Participants discussed strategies to prevent and treat infections in people who inject drugs, especially ways to work efficiently though the existing public health and medical systems. This publication summarizes the presentations and discussions from the workshop.

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.

Monograph on statistical analysis methodology for measurement of geographic distribution - develops the theory of spatial autocorrelation together with sample procedures, and considers their use in the presentation and evaluation of maps showing statistical tables in the fields of economic geography and human geography. Bibliography pp. 173 to 176 and graphs.