Relevant bibliographies by topics / Census undercounts

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Academic literature on the topic 'Census undercounts'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 March 2023

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Journal articles on the topic "Census undercounts"

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Hacker, J. David. "New Estimates of Census Coverage in the United States, 1850–1930." Social Science History 37, no. 1 (2013): 71–101. http://dx.doi.org/10.1017/s0145553200010579.

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Despite growing reliance on census data for historical research in the United States, there has been little systematic evaluation of census quality. This article relies on back-projection methods, new estimates of nineteenth-century mortality, and the 1850–1940 Integrated Public Use Microdata Series (IPUMS) samples to estimate age- and sex-specific net census underenumeration of the native-born white population in the United States in the 1850–1930 censuses. National and section of birth estimates are constructed. In general, the results suggest slightly higher net undercounts for native-born white males relative to native-born white females, slightly higher net undercounts in the South, and a modest trend toward greater census coverage over time. A few censuses stand out as anomalous. The 1870 census suffered a higher net rate of omission than any other census. The net undercount was especially high in the South, probably reflecting the unsettled conditions in the aftermath of the American Civil War. The net undercount was not nearly as great as nineteenth-century observers speculated and subsequent historians have long believed, however. The 1880 census appears to have achieved the most complete coverage of the native-born white population before 1940.
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King, Miriam L., and Diana L. Magnuson. "Perspectives on Historical U.S. Census Undercounts." Social Science History 19, no. 4 (1995): 455–66. http://dx.doi.org/10.1017/s0145553200017466.

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There are three sources of information about undercounts in nineteenth-century U.S. censuses: demographic analyses of net undercounts by age, sex, and race at the national level; record-linkage studies of gross undercounts for local communities; and contemporary testimony of the types and bases of underenumeration. This article reviews the strengths and limitations of each of these sources, assesses the extent of their agreement, and discusses the bases of their disagreement.
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King, Miriam L., and Diana L. Magnuson. "Perspectives on Historical U.S. Census Undercounts." Social Science History 19, no. 4 (1995): 455. http://dx.doi.org/10.2307/1171475.

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P. O’Hare, William. "Are Self-Participation Rates Predictive of Accuracy in the U.S. Census?" International Journal of Social Science Studies 8, no. 6 (September 24, 2020): 23. http://dx.doi.org/10.11114/ijsss.v8i6.4967.

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Metrics related to the U.S. Census have been widely available for several decades but there has been a dearth of studies examining the relationship among key metrics in the Census. This paper provides empirical evidence about the link between self-participation rates and census accuracy using data from the 1990, 2000, and 2010 U.S Censuses. The preponderance of the evidence shows lower self-participation rates are highly correlated with higher net undercounts and omissions rates for key socio-demographic groups and states. Nine out of 11 correlations examined in this paper are statistically significant and in the predicted direction. One key reason self-participation rates are associated with census accuracy is the fact that the population not captured in the self-participation operation goes into the households for the Nonresponse Followup (NRFU) operation. Census Bureau data show data collected in NRFU is not as accurate as that collected in self-response. The larger the share of data collected for a population that is collected in NFRU, the lower the quality of data for that group. The connection between self-participation rates and census accuracy mean the differential self-participation rates seen in the 2020 Census suggest patterns of net Census undercounts seen in the past are likely to be seen in the 2020 Census.
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Cowan, Charles D. "Estimating census and survey undercounts through multiple service contacts." Housing Policy Debate 2, no. 3 (January 1991): 867–82. http://dx.doi.org/10.1080/10511482.1991.9521075.

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DeBats, Donald A. "Hide and Seek: The Historian and Nineteenth-Century Social Accounting." Social Science History 15, no. 4 (1991): 545–63. http://dx.doi.org/10.1017/s0145553200021295.

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The problem of census undercounts, a familiar political issue for modern groups or instrumentalities that consider themselves underrepresented in the Census Bureau statistics, has only recently attracted attention from historians. While the modern “miss rate” is potentially high among some groups (the reason for the emphasis on the homeless in the 1990 census), the general rate of underenumeration appears to have diminished in recent censuses. The bureau acknowledges a net undercount of 5.6% of the population in 1940; the error declined gradually to an estimated 1.4% in 1980 (Burnham 1986; Anderson 1988; Edmondson 1988).Nineteenth-century censuses no doubt contained more serious errors. Although he did not have underenumeration specifically in mind, the administrator for the 1870 census said that “the censuses of 1850, 1860, and of 1870 are loaded with bad statistics. There are statistics in the census of 1870,I am sorry to say, where some of the results are false to the extent of one-half. They had to be published then, because the law called for it; but I took the liberty of branding them as untrustworthy and in some cases giving the reasons therefore at some length” (quoted in Sharpless and Shortridge 1975: 411). Strikingly modern quarrels surrounded the accuracy of the 1840 Boston and New Orleans censuses, while the errors in the 1870 enumeration of New York City and Philadelphia were sufficient to cause recounts of both cities (ibid. ; Knights 1971: 145).
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Bianchi, Suzanne M., and Harvey Choldin. "Looking for the Last Percent: The Controversy Over Census Undercounts." Contemporary Sociology 24, no. 4 (July 1995): 372. http://dx.doi.org/10.2307/2077668.

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Verma, Ravi B. P. "Evaluation of projections of populations for the aboriginal identity groups in Canada, 1996-2001." Canadian Studies in Population 32, no. 2 (December 31, 2005): 229. http://dx.doi.org/10.25336/p6pc81.

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The population projections for the Aboriginal identity groups (North American Indians, Métis and Inuit) by age and sex from 1996 to 2001 were developed at the Canada level, using the cohort-component method. The purpose of this paper is to compare and analyze the error of closure between the projected 2001 and adjusted 2001 population counts due to net census undercounts. It is observed that the error of closure for the 2001 projected Aboriginal population based on the 1996 adjusted census population seems to be lower by 7% over the 2001 Census adjusted Aboriginal population. In contrast, the projected populations for North American Indians and Inuit are lower by -0.20% and -2.73%. However, for the Métis the error of closure is extremely high, at -24.84%. Reasons for the higher error of closure for the Métis such as the effects of intra-generational ethnic mobility will be discussed in the paper.
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Rosenthal, Miriam D. "Striving for perfection: a brief history of advances and undercounts in the U.S. Census." Government Information Quarterly 17, no. 2 (April 2000): 193–208. http://dx.doi.org/10.1016/s0740-624x(00)00027-7.

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Garcia, Victor, Bernardo Lopez-Ariza, and Juan Marinez. "Exploring Undercounts in the Agriculture Census: An Alternative Enumeration of Hispanic Farmers in Southwestern Michigan." Journal of Latino/Latin American Studies 3, no. 2 (September 2008): 47–58. http://dx.doi.org/10.18085/llas.3.2.m100225821368j44.

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Dissertations / Theses on the topic "Census undercounts"

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Montoya, Martin Dale. "The methodological risk of relying on official statistics to construct crime and other deviancy rates /." view abstract or download file of text, 2003. http://wwwlib.umi.com/cr/uoregon/fullcit?p3095264.

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Thesis (Ph. D.)--University of Oregon, 2003.
Typescript. Includes vita and abstract. Includes bibliographical references (leaves 107-113). Also available for download via the World Wide Web; free to University of Oregon users.
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Kardos, Julian, and n/a. "Visualising attribute and spatial uncertainty in choropleth maps using hierachical spatial data models." University of Otago. Department of Information Science, 2006. http://adt.otago.ac.nz./public/adt-NZDU20060908.151014.

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This thesis defines a novel and intuitive method to visually represent attribute uncertainty, and spatial boundary uncertainty generated from choropleth maps. Like all data, it is not possible to know exactly how far from the truth spatial data used for choropleth mapping is. When spatial data is used in a decision-making context a visual representation of data correctness may become a valuable addition. As an example, the visualisation of uncertainty is illustrated using choropleth mapping techniques superimposed on New Zealand 2001 census data, but other spatial datasets could have been employed. Both attribute and spatial uncertainty are considered, with Monte Carlo statistical simulations being used to model attribute uncertainty. A visualisation technique to manage certain choropleth spatial boundary issues (i.e. the modifiable areal unit problem - MAUP) and uncertainty in attribute data is introduced, especially catering for attribute and choropleth spatial boundary uncertainty simultaneously. The new uncertainty visualisation method uses the quadtree spatial data model (SDM) in a novel manner. It is shown that by adapting the quadtree SDM to divide according to uncertainty levels possessed by attributes (associated with areal units), rather than divide on the basis of homogeneous regions (as the original quadtree design was intended), a measure of attribute and choropleth spatial boundary uncertainty can be exhibited. The variable cell size of the structure expresses uncertainty, with larger cell size indicating large uncertainty, and vice versa. The new quadtree SDM was termed the trustree. A software suite called TRUST v1.0 (The Representation of Uncertainty using Scale-unspecific Tessellations) was developed to create square trustree visualisations. The visual appeal and representational accuracy of the trustree was investigated. Representative accuracy and visual appeal increased when using hexagonal tessellations instead of the quadtree�s traditional square tessellation. In particular, the Hexagonal or Rhombus (HoR) quadtree designed by Bell et al. (1989) was used to programme TRUST v1.1. Using the HoR quadtree in rhombic mode (TRUST v1.1.1) produced Orbison�s optical illusion, so it was disregarded. However, the HoR trustree (the hexagonal tessellation produced by TRUST v1.1.2) was adopted for further research and user assessment. When assessed using an Internet survey, the HoR trustree adequately displayed choropleth spatial boundary uncertainty, but not attribute uncertainty. New trustree visualisations, the value-by-area (VBA) trustree and adjacent HoR trustree were developed to help increase the expression of attribute uncertainty. Upon reassessment, the new trustree visualisations were deemed usable to express attribute uncertainty and choropleth spatial boundary uncertainty at a modest 58% usable (HoR trustree), 80% usable (VBA trustree) and 85% usable (adjacent HoR trustree). A usability test (where participants were asked to spot different levels of uncertainty) validated these results, whereby the HoR trustree achieved a 65% accuracy level and the VBA trustree achieved an 80% accuracy level. The user assessments helped to highlight that the trustree could be used in two ways, to express detail within or clutter over areal units. The HoR trustree showed (1) a level of detail (or resolution) metaphor, where more detail represented more accuracy and/or the reverse, (2) a metaphor of clutter, where the data structure output was sufficiently dense as to cover spatial information, in effect hiding uncertain areas. Further Internet survey testing showed the trustree tessellation works better when representing a metaphor of detail. Attribute and spatial uncertainty can be effectively expressed depending on the tessellation level used. Overall, the new TRUST suite visualisations compare favourably with existing uncertainty visualisation techniques. Some uncertainty visualisation methods consistently performed better than the TRUST visualisations such as blinking areas, adjacent value and non-continuous cartograms. Other methods like colour saturation, image sharpness and a three-dimensional surface frequently performed with less usability. Therefore, the TRUST visualisations have found their place amongst other uncertainty visualisation methods. However, survey results showed that TRUST is a viable option for visualising two forms of uncertainty - attribute and spatial uncertainty. No other visualisation method has these capabilities. Further research could include a laboratory assessment of TRUST and also incorporating vagueness and temporal uncertainty concepts. Additionally, end-user testing could provide a valuable insight into uncertainty visualisation for everyday use. Adopting uncertainty methods to uncertainty, such as the technique presented here, into the mainstream decision making environment could be considered a fundamental objective for future investigation in spatial studies.
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Gumbo, Jeremy Dickson. "Undercounting controversies in South African censuses." Thesis, 2016. http://hdl.handle.net/10539/21837.

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A thesis submitted to the Faculty of Humanities in fulfilment of the requirements of the degree of Doctor of Philosophy in Demography and Population Studies, University of Witwatersrand, Johannesburg, South Africa 2016
Census taking dates back to the era of the Roman Empire as can be drawn from the gospel of Luke Chapter 2, Verses 1-5. Under the Roman rule censuses were conducted to keep records for individuals that were eligible for conscription into the army. Later during the colonial era, censuses were conducted to capture individuals that were eligible to pay tax. Currently censuses are widely used in guiding efficient planning and fair resource allocation. Content error, which refers to recording inaccurate information on captured individuals, and coverage error, i.e. either undercounting or over counting of people in a census, presents challenges in achieving these goals. Coverage error is frequent in censuses, especially undercount, which is of interest in this study. In countries that have a well-documented history of census taking like the United States of America, Canada, and China, there are indications that respective censuses recorded substantial numbers of people that were missed. Nigeria and South Africa are some of the countries in Africa where high undercounts have been recorded in censuses. The latter country, which is the focus of this study, recorded undercount estimates of 10.6%, 17%, and 14.6% in the last three censuses of 1996, 2001, and 2011 respectively. These high undercount estimates were the source of controversies that have been associated with the three censuses. The controversies centred on the accuracy of the Post-enumeration Survey (PES). Critiques argue that the PES has been inaccurate in estimating and adjusting the undercount in the respective censuses. For this reason, the accuracy of both the undercount estimates and adjusted counts drawn from this method has also been contested. [Abbreviated abstract. Open document to view full version]
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Dowling, Julie Anne Ellison Christopher G. "The lure of whiteness and the politics of "otherness" Mexican American racial identity /." 2004. http://wwwlib.umi.com/cr/utexas/fullcit?p3142717.

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Dowling, Julie Anne. "The lure of whiteness and the politics of "otherness": Mexican American racial identity." Thesis, 2004. http://hdl.handle.net/2152/1175.

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Books on the topic "Census undercounts"

1

O’Hare, William P. Differential Undercounts in the U.S. Census. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10973-8.

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Population, United States Congress House Committee on Post Office and Civil Service Subcommittee on Census and. Plans for conducting the 1990 census in Alaska: Hearing before the Subcommittee on Census and Population of the Committee on Post Office and Civil Service, House of Representatives, One Hundredth Congress, first session, August 19, 1987. Washington: U.S. G.P.O., 1988.

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2+2 should never equal 3: Getting intercensal population estimates right the first time : hearing before the Subcommittee on Federalism and the Census of the Committee on Government Reform, House of Representatives, One Hundred Ninth Congress, second session, September 6, 2006. Washington: U.S. G.P.O., 2007.

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Looking for the last percent: The controversy over census undercounts. New Brunswick: Rutgers University Press, 1994.

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United States Commission on Civil Rights. New York State Advisory Committee., ed. Census undercounts and preparations for the 1990 census: A summary report, December 1988. [Washington, D.C.?]: New York Advisory Committee to the U.S. Commission on Civil Rights, 1989.

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South Africa. Central Statistical Services., ed. Bevolkingsensus 1991.: Population census 1991. Adjustment for undercount. Pretoria: Sentrale Statistiekdiens, 1992.

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Census 2010: Hard-to-count populations with special living conditions : hearing before the Subcommittee on Information Policy, Census, and National Archives of the Committee on Oversight and Government Reform, House of Representatives, One Hundred Eleventh Congress, first session, March 8, 2010. Washington: U.S. G.P.O., 2010.

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United States. Congress. House. Committee on Post Office and Civil Service. Subcommittee on Census and Population. Proposed guidelines for statistical adjustment of the 1990 census: Hearing before the Subcommittee on Census and Population of the Committee on Post Office and Civil Service, House of Representatives, One Hundred First Congress, second session, January 30, 1990. Washington: U.S. G.P.O., 1990.

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Is Brooklyn being counted?: Problems with the 2010 census : hearing before the Committee on Oversight and Government Reform, House of Representatives, One Hundred Eleventh Congress, second session, July 19, 2010. Washington: U.S. G.P.O., 2011.

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O’Hare, William P. Differential Undercounts in the U.S. Census: Who is Missed? Cham: Springer Nature, 2019.

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Book chapters on the topic "Census undercounts"

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O’Hare, William P. "Census Bureau Efforts to Eliminate Differential Undercounts." In SpringerBriefs in Population Studies, 139–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10973-8_14.

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O’Hare, William P. "Who Is Missing? Undercounts and Omissions in the U.S. Census." In SpringerBriefs in Population Studies, 1–12. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10973-8_1.

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O’Hare, William P. "Methodology Used to Measure Census Coverage." In The Undercount of Young Children in the U.S. Decennial Census, 11–25. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18917-8_2.

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Zaslavsky, Alan M. "Representing the Census Undercount by Multiple Imputation of Households." In Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives, 129–40. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470090456.ch12.

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O’Hare, William P. "Coverage of Young Children in the 2010 U.S. Decennial Census." In The Undercount of Young Children in the U.S. Decennial Census, 27–37. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18917-8_3.

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O’ Hare, William P. "The Net Undercount of Children in the 2010 U.S. Decennial Census." In Emerging Techniques in Applied Demography, 39–51. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8990-5_4.

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O’Hare, William P. "Coverage of Young Children in the Census: An International Comparative Perspective." In The Undercount of Young Children in the U.S. Decennial Census, 73–82. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18917-8_6.

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O’Hare, William P. "Introduction." In The Undercount of Young Children in the U.S. Decennial Census, 1–10. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18917-8_1.

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O’Hare, William P. "Historical Examination of Net Coverage for Children in the U.S. Decennial Census: 1950 to 2010." In The Undercount of Young Children in the U.S. Decennial Census, 39–49. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18917-8_4.

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O’Hare, William P. "State and County Level 2010 U.S. Census Coverage Rates for Young Children." In The Undercount of Young Children in the U.S. Decennial Census, 51–71. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18917-8_5.

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