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oapen-20.500.12657-230872024-03-22T19:23:38Z Differential Undercounts in the U.S. Census O’Hare, William P. Social sciences Demography Statistics Social sciences thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBD Population and demography thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics 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. 2020-03-18 13:36:15 2020-04-01T09:02:48Z 2020-04-01T09:02:48Z 2019 book 1007071 http://library.oapen.org/handle/20.500.12657/23087 eng SpringerBriefs in Population Studies application/pdf n/a 1007071.pdf https://www.springer.com/9783030109738 Springer Nature 10.1007/978-3-030-10973-8 10.1007/978-3-030-10973-8 6c6992af-b843-4f46-859c-f6e9998e40d5 167 Cham open access
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OAPEN
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DSpace
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English
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| description |
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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1007071.pdf
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| spellingShingle |
1007071.pdf
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| title_short |
1007071.pdf
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| title_full |
1007071.pdf
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| title_fullStr |
1007071.pdf
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1007071.pdf
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| title_sort |
1007071.pdf
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| publisher |
Springer Nature
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| publishDate |
2020
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| url |
https://www.springer.com/9783030109738
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1799945294383677440
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