Principles and Recommendations for Population and Housing Censuses
Principles and Recommendations for Population and Housing Censuses

Author: United Nations. Statistical Division

Publisher: United Nations Publications

Published: 2008

Total Pages: 420

ISBN-13: 9789211615050

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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.

Population Situation Analysis (PSA)
Population Situation Analysis (PSA)

Author:

Publisher: UN

Published: 2010

Total Pages: 0

ISBN-13: 9780897149884

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The Population Situation Analysis (PSA) provides the basis for an integrated appraisal of the population and reproductive health dynamics and their impacts on poverty, inequality and development. By integrating a micro and macro analytical approach, the population situation analysis clarifies the interactions between individual behaviour and demographic dynamics. The Population Situation Analysis (PSA) responds to demand by countries that international cooperation should promote national capacity-building and recognize national ownership and leadership as prerequisites for development, in accordance with the principles agreed at the International Conference on Population and Development (ICPD) and the Millennium Declaration. This manual contributes to more efficient evidence-based programming, which relies on increased capacity for data generation, new databases, the consolidation of available evidence and the promotion of the use of hard data. The knowledge generated thr

Differential Undercounts in the U.S. Census
Differential Undercounts in the U.S. Census

Author: William P. O’Hare

Publisher: Springer

Published: 2019-02-13

Total Pages: 174

ISBN-13: 3030109739

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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.

Race, Ethnicity, and Language Data
Race, Ethnicity, and Language Data

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2009-12-30

Total Pages: 286

ISBN-13: 0309140129

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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.