Differential Undercounts in the U.S. Census [electronic resource] : Who is Missed? / by William P. O’Hare.

By: O’Hare, William P [author.]
Contributor(s): SpringerLink (Online service)
Material type: TextTextSeries: SpringerBriefs in Population Studies: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XI, 167 p. 15 illus., 13 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783030109738Subject(s): Demography | Statistics  | Social sciences | Demography | Statistical Theory and Methods | Methodology of the Social SciencesAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 304.6 LOC classification: HB848-3697Online resources: Click here to access online
Contents:
1. Introduction -- 2. Why the Census is Important -- 3. How Do We Know Who is Missed in the Census? -- 4. The Big Picture on Census Undercount Differentials -- 5. Differentials by Age -- 6. Differentials by Sex -- 7. Differentials by Hispanic Origin Status -- 8. Census Coverage of the Black Population -- 9. Census Coverage of American Indians and Alaskan Natives -- 10. Coverage of Asians -- 11. Census Coverage of Native Hawaiians and Other Pacific Islanders -- 12. Renters and Owners -- 13. Data on Other groups at risk of being undercounted -- 14. Attempts to Reduce/Eliminate Differential Census Undercounts -- 15. Looking toward the 2020 Census.
In: Springer Nature Open Access eBookSummary: 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.
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1. Introduction -- 2. Why the Census is Important -- 3. How Do We Know Who is Missed in the Census? -- 4. The Big Picture on Census Undercount Differentials -- 5. Differentials by Age -- 6. Differentials by Sex -- 7. Differentials by Hispanic Origin Status -- 8. Census Coverage of the Black Population -- 9. Census Coverage of American Indians and Alaskan Natives -- 10. Coverage of Asians -- 11. Census Coverage of Native Hawaiians and Other Pacific Islanders -- 12. Renters and Owners -- 13. Data on Other groups at risk of being undercounted -- 14. Attempts to Reduce/Eliminate Differential Census Undercounts -- 15. Looking toward the 2020 Census.

Open Access

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.

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