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Journal articles on the topic 'Census undercounts'

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Published: 4 June 2021

Last updated: 1 March 2023

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Rotondi, Michael A., Patricia O’Campo, Kristen O’Brien, Michelle Firestone, Sara H. Wolfe, Cheryllee Bourgeois, and Janet K. Smylie. "Our Health Counts Toronto: using respondent-driven sampling to unmask census undercounts of an urban indigenous population in Toronto, Canada." BMJ Open 7, no. 12 (December 2017): e018936. http://dx.doi.org/10.1136/bmjopen-2017-018936.

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ObjectivesTo provide evidence of the magnitude of census undercounts of ‘hard-to-reach’ subpopulations and to improve estimation of the size of the urban indigenous population in Toronto, Canada, using respondent-driven sampling (RDS).DesignRespondent-driven sampling.SettingThe study took place in the urban indigenous community in Toronto, Canada. Three locations within the city were used to recruit study participants.Participants908 adult participants (15+) who self-identified as indigenous (First Nation, Inuit or Métis) and lived in the city of Toronto. Study participants were generally young with over 60% of indigenous adults under the age of 45 years. Household income was low with approximately two-thirds of the sample living in households which earned less than $C20 000 last year.Primary and secondary outcome measuresWe collected baseline data on demographic characteristics, including indigenous identity, age, gender, income, household type and household size. Our primary outcome asked: ‘Did you complete the 2011 Census Canada questionnaire?’ResultsUsing RDS and our large-scale survey of the urban indigenous population in Toronto, Canada, we have shown that the most recent Canadian census underestimated the size of the indigenous population in Toronto by a factor of 2 to 4. Specifically, under conservative assumptions, there are approximately 55 000 (95% CI 45 000 to 73 000) indigenous people living in Toronto, at least double the current estimate of 19 270.ConclusionsOur indigenous enumeration methods, including RDS and census completion information will have broad impacts across governmental and health policy, potentially improving healthcare access for this community. These novel applications of RDS may be relevant for the enumeration of other ‘hard-to-reach’ populations, such as illegal immigrants or homeless individuals in Canada and beyond.

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12

Gasteyer, Stephen P., Jennifer Lai, Brittany Tucker, Jennifer Carrera, and Julius Moss. "BASICS INEQUALITY." Du Bois Review: Social Science Research on Race 13, no. 2 (2016): 305–25. http://dx.doi.org/10.1017/s1742058x16000242.

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AbstractIn light of 2014–2016 media coverage about the inadequate water and sanitation services for households in places like Flint and Detroit, Michigan and the Central Valley of California, this paper asks whether places with majority non-White residents in the United States disproportionately lack access to these most basic of services. Investigating this issue through the combined lenses of structural racism, environmental justice, and the human right to water and sanitation, we analyze U.S. Census American Community Survey household data at the county level. Our findings indicate strong White versus non-White racial effects at the national and county levels (R2 = 0.0462, P < 0.05). When the non-White population is broken down into racial categories, places with higher percentages of American Indians and Alaska Native households are significantly associated with lack of access to complete plumbing facilities. Lacking access to complete plumbing does correlate with lower educational attainment and higher percentages of unemployment, and less robustly, it also correlates positively with median household income. The implication is the existence of a pattern of structural environmental racism in terms of the practical accessibility of water and sanitation infrastructure. We suspect, however, that the U.S. Census, while considered the most comprehensive national data source on this issue right now, significantly undercounts those lacking access to water and sanitation services. We argue that better data will be essential in order to carry out a more in-depth analysis of water access conditions and to develop strategies that address this issue of growing importance.

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13

Burgard, Jan Pablo, and Ralf T. Münnich. "Modelling over and undercounts for design-based Monte Carlo studies in small area estimation: An application to the German register-assisted census." Computational Statistics & Data Analysis 56, no. 10 (October 2012): 2856–63. http://dx.doi.org/10.1016/j.csda.2010.11.002.

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14

Kaneshiro, Matheu. "Missing Minorities? The Phases of IRCA Legislation and Relative Net Undercounts of the 1990 vis-à-vis 2000 Decennial Census for Foreign-born Cohorts." Demography 50, no. 5 (May 9, 2013): 1897–919. http://dx.doi.org/10.1007/s13524-013-0212-6.

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15

Griffin, Deborah H., and William P. O'Hare. "Are Census Omissions of Young Children Due to Respondent Misconceptions about the Census?" International Journal of Social Science Studies 8, no. 6 (October 9, 2020): 59. http://dx.doi.org/10.11114/ijsss.v8i6.4994.

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The United States Census Bureau acknowledges the systematic undercount of young children in censuses and widely used surveys. Despite the growing body of research to understand the scope and characteristics of undercounted young children, little is known about likely causes. Missing from the research are efforts to talk with respondents about possible reasons for young child omissions. This study addresses that shortcoming using data from an online survey asking 800 respondents with young children several questions related to children and the census. The results indicate that many respondents have doubts about including young children in the census count for their household. Only 82 percent of low-income parents of young children responded that they would include their young child in the census count for their household. This percentage was lower if children had weaker ties to a household. These survey results provide evidence that misconceptions and confusion about including young children in the census exist and could easily result in young child omissions. These findings warrant replication and suggest that significant changes in instructions are needed to dispel these respondent misconceptions.

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16

Wright, Tommy. "Census Undercount Recommendation." Science 240, no. 4848 (April 1988): 12. http://dx.doi.org/10.1126/science.240.4848.12.c.

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17

WRIGHT, T. "Census Undercount Recommendation." Science 240, no. 4848 (April 1, 1988): 12. http://dx.doi.org/10.1126/science.240.4848.12-b.

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18

P. O’Hare, William. "Geographic Variation in 2010 U.S. Census Coverage Rates for Young Children: A Look at Counties." International Journal of Social Science Studies 5, no. 9 (August 21, 2017): 11. http://dx.doi.org/10.11114/ijsss.v5i9.2611.

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Data from the Census Bureau’s Demographic Analysis (DA) show there was a net undercount of almost one million children under age 5 in the 2010 Decennial Census. The net undercount for young children was more than twice as high as any other age group. Given the high net total undercount of young children it would be useful to know how this net undercount is distributed geographically. In this study, the 2010 Decennial Census county-level counts of children age 0 to 4 are compared to corresponding figures from the Census Bureau’s Vintage 2010 population estimates, to ascertain census coverage for young children. Results show that net undercount rates for young children are higher in larger counties and counties with high percentages of Black or Hispanic children but county growth rates do not seem to be related to net undercount rates for young children. Discussion explores how this information may be helpful in the 2020 Census.

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19

Warren, Robert. "2020 American Community Survey: Use with Caution, An Analysis of the Undercount in the 2020 ACS Data Used to Derive Estimates of the Undocumented Population." Journal on Migration and Human Security 10, no. 2 (June 2022): 134–45. http://dx.doi.org/10.1177/23315024221102327.

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This paper analyzes and provides estimates of the undercount of the foreign-born in the US Census Bureau’s 2020 American Community Survey (ACS). It confirms that a differential undercount occurred in the 2020 ACS. In particular, noncitizens that arrived from Central American countries after 1981 had undercount rates of 15–25 percent, but undercount of noncitizens that arrived from European countries in the same period was not detectable by the methods described in this paper. The Center for Migration Studies of New York (CMS) and others use ACS data to derive annual estimates of the US undocumented population. The Census Bureau recently reported that the total population count for the 2020 Census was consistent with the count for recent censuses, despite the Covid-19 pandemic and the Trump administration’s interference in the 2020 Census. Nonetheless, the accuracy of 2020 ACS data for the noncitizen population that arrived after 1981 remains a major concern given the fear generated by the Trump administration’s abusive rhetoric and anti-immigrant policies. The estimates set forth in this paper were derived by analyzing trends in annual ACS data for 2016–2020 compiled from the IPUMS website (Ruggles et al. 2021). Decennial census data cannot be used for this purpose because data on country of birth, citizenship, and year of immigration are not collected in the census. However, it is reasonable to believe that the 2020 census and the 2020 ACS experienced similar challenges because they were conducted under comparable conditions. The patterns of undercount of noncitizens described here for the 2020 ACS are likely mirrored in the 2020 census and will reduce federal funding and representation to affected cities and states for the next decade.

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20

O’Hare, William P. "Assessing Net Coverage for Young Children in the 2010 U.S. Decennial Census." International Journal of Population Research 2014 (November 18, 2014): 1–13. http://dx.doi.org/10.1155/2014/671715.

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The U.S. Census Bureau’s Demographic Analysis shows that the population aged 0 to 4 experienced a net undercount rate of 4.6 percent in the 2010 Decennial Census. This is more than twice as high as any other age group. Despite the fact that the relatively high net undercount of young children was uncovered more than fifty years ago, this problem has received little systematic attention from demographers. To help fill that gap in the literature, this study examines the accuracy of the count of children in the 2010 Decennial Census. The initial focus on all children shifts to a focus on young children (aged 0 to 4) where the net undercount rate is the highest. Discussion highlights some of the potential explanations for the findings.

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21

Martin, David. "Understanding the Social Geography of Census Undercount." Environment and Planning A: Economy and Space 42, no. 11 (November 2010): 2753–70. http://dx.doi.org/10.1068/a43123.

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22

Schenker, Nathaniel. "Undercount in the 1990 Census: Special Section." Journal of the American Statistical Association 88, no. 423 (September 1993): 1044–46. http://dx.doi.org/10.1080/01621459.1993.10476373.

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23

Breiman, Leo. "The 1991 Census Adjustment: Undercount or Bad Data?" Statistical Science 9, no. 4 (November 1994): 458–75. http://dx.doi.org/10.1214/ss/1177010259.

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24

West, Kirsten K., and David J. Fein. "Census Undercount: An Historical and Contemporary Sociological Issue." Sociological Inquiry 60, no. 2 (April 1990): 127–41. http://dx.doi.org/10.1111/j.1475-682x.1990.tb00134.x.

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25

Mulry, Mary H., and Bruce D. Spencer. "Accuracy of the 1990 Census and Undercount Adjustments." Journal of the American Statistical Association 88, no. 423 (September 1993): 1080–91. http://dx.doi.org/10.1080/01621459.1993.10476379.

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26

Cressie, Noel. "Empirical Bayes Estimation of Undercount in the Decennial Census." Journal of the American Statistical Association 84, no. 408 (December 1989): 1033–44. http://dx.doi.org/10.1080/01621459.1989.10478869.

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27

Schirm, Allen L. "The Effects of Census Undercount Adjustment on Congressional Apportionment." Journal of the American Statistical Association 86, no. 414 (June 1991): 526–41. http://dx.doi.org/10.1080/01621459.1991.10475076.

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28

Kissam, Edward. "Differential undercount of Mexican immigrant families in the U.S. Census." Statistical Journal of the IAOS 33, no. 3 (August 19, 2017): 797–816. http://dx.doi.org/10.3233/sji-170388.

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29

Schirm, Allen L., and Samuel H. Preston. "Census Undercount Adjustment and the Quality of Geographic Population Distributions." Journal of the American Statistical Association 82, no. 400 (December 1987): 965–78. http://dx.doi.org/10.1080/01621459.1987.10478523.

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30

Taylor, Christopher M. "Vote Dilution and the Census Undercount: A State-by-State Remedy." Michigan Law Review 94, no. 4 (February 1996): 1098. http://dx.doi.org/10.2307/1289807.

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31

Wolter, Kirk M. "Census Undercount Adjustment and the Quality of Geographic Population Distributions: Comment." Journal of the American Statistical Association 82, no. 400 (December 1987): 978. http://dx.doi.org/10.2307/2289365.

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32

Cressie, Noel. "Census Undercount Adjustment and the Quality of Geographic Population Distributions: Comment." Journal of the American Statistical Association 82, no. 400 (December 1987): 980. http://dx.doi.org/10.2307/2289366.

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33

Spencer, Bruce D. "Census Undercount Adjustment and the Quality of Geographic Population Distributions: Comment." Journal of the American Statistical Association 82, no. 400 (December 1987): 984. http://dx.doi.org/10.2307/2289367.

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34

Schirm, Allen L., and Samuel H. Preston. "Census Undercount Adjustment and the Quality of Geographic Population Distributions: Rejoinder." Journal of the American Statistical Association 82, no. 400 (December 1987): 986. http://dx.doi.org/10.2307/2289368.

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35

Griffin, Richard A. "Potential Uses of Administrative Records for Triple System Modeling for Estimation of Census Coverage Error in 2020." Journal of Official Statistics 30, no. 2 (June 1, 2014): 177–89. http://dx.doi.org/10.2478/jos-2014-0012.

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Abstract Heterogeneity in capture probabilities is known to produce bias in the dual system estimates that have been used to estimate census coverage in U.S. Censuses since 1980. Triple system estimation using an administrative records list as a third source along with the census and coverage measurement survey has the potential to produce estimates with less bias. This is particularly important for hard-to-reach populations. The article presents potential statistical methods for the estimation of net census undercount using three systems for obtaining population information: (1) a decennial census; (2) an independent enumeration of the population in a sample of block clusters; and (3) administrative records. The 2010 Census Match Study will create census-like files for the entire nation using federal and commercial sources of administrative records. The 2010 Census Coverage Measurement Survey is an enumeration in a sample of block clusters that is independent of the 2010 decennial Census.

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36

Mitchell, Richard, Danny Dorling, David Martin, and Ludi Simpson. "Bringing the Missing Million Home: Correcting the 1991 Small Area Statistics for Undercount." Environment and Planning A: Economy and Space 34, no. 6 (June 2002): 1021–35. http://dx.doi.org/10.1068/a34161.

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The 1991 UK Decennial Census missed about 1.2 million people. These missing individuals present a serious challenge to any census user interested in measuring intercensal change, particularly amongst the most marginalised groups in society who were prominent amongst the missing population. Recently, a web-based system for accessing census data from the 1971, 1981, and 1991 censuses was launched ( www.census.ac.uk/cdu/lct ). The ‘LCT’ package also provides access to a set of 1991 small area statistics (SAS) which have been corrected to compensate for the missing million. The authors explain the methods used for adjusting the SAS counts, provide examples of the differences between analysis with the adjusted and unadjusted data, and recommend the use of the new data set to all those interested in intercensal change.

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37

Toulemon, Laurent. "Undercount of young children and young adults in the new French census." Statistical Journal of the IAOS 33, no. 2 (May 12, 2017): 311–16. http://dx.doi.org/10.3233/sji-171054.

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38

Anderson, Margo, and Stephen E. Fienberg. "Why Is There Still a Controversy About Adjusting the Census for Undercount?" Political Science & Politics 35, no. 01 (March 2002): 83–85. http://dx.doi.org/10.1017/s1049096502000185.

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Margolis, Maxine. "Brazilians and the 1990 United States Census: Immigrants, Ethnicity, and the Undercount." Human Organization 54, no. 1 (March 1995): 52–59. http://dx.doi.org/10.17730/humo.54.1.5487w18130176194.

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O'Hare, William P. "An international perspective on the undercount of young children in the U.S. Census." Statistical Journal of the IAOS 33, no. 2 (May 12, 2017): 289–304. http://dx.doi.org/10.3233/sji-161008.

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Robinson, J. Gregory. "An international perspective on the undercount of young children in the U.S. Census." Statistical Journal of the IAOS 33, no. 2 (May 12, 2017): 307–9. http://dx.doi.org/10.3233/sji-171055.

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42

Redfern, Philip. "A Bayesian Model for Estimating Census Undercount, Taking Emigration Data from Foreign Censuses." International Statistical Review / Revue Internationale de Statistique 69, no. 2 (August 2001): 277. http://dx.doi.org/10.2307/1403816.

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Redfern, Philip. "A Bayesian Model for Estimating Census Undercount, Taking Emigration Data from Foreign Censuses." International Statistical Review 69, no. 2 (August 2001): 277–301. http://dx.doi.org/10.1111/j.1751-5823.2001.tb00459.x.

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44

Chao, Anne, and P. K. Tsay. "A Sample Coverage Approach to Multiple-System Estimation with Application to Census Undercount." Journal of the American Statistical Association 93, no. 441 (March 1998): 283–93. http://dx.doi.org/10.1080/01621459.1998.10474109.

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O'Hare, William P. "An international perspective on the undercount of young children in the U.S. Census: Rejoinder." Statistical Journal of the IAOS 33, no. 2 (May 12, 2017): 335–2. http://dx.doi.org/10.3233/sji-171065.

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46

Prewitt, Kenneth. "When You Have a Hammer …" Du Bois Review: Social Science Research on Race 9, no. 2 (2012): 281–301. http://dx.doi.org/10.1017/s1742058x1200029x.

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AbstractRace statistics and race policy have been intertwined in American history since its founding, starting with the infamous three-fifths clause, continuing with policies based on nineteenth-century race science, the restrictionist immigration at the turn of the century, the Jim Crow regime, and carrying into the civil rights era through such policy concepts as institutional racism, statistical proportionality, disparate impact, and affirmative action. Across this history, the policies and the statistics were about “race,” whether they punished or benefited, were racist or antiracist. But can there be policy that misuses race statistics, that is presented as about race when it should not be? Race statistics are a powerful policy hammer in American history, but not everything is, in fact, a nail. Today the census undercount is argued over as if it is about race; it isn't really. Posing far greater danger, census race categories have worked their way into genomic medicine. The nineteenth-century belief that “race is biological” lingers in the American mind. The use of census categories in genomic medicine risks re-biologizing race. Maybe we should not leave the hammer lying around.

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47

Predojevic-Despic, Jelena, and Goran Penev. "Emigration zones in Serbia: 2011 census results." Zbornik Matice srpske za drustvene nauke, no. 148 (2014): 383–97. http://dx.doi.org/10.2298/zmsdn1448383p.

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In the last few decades there have been changes in the nature of international migration trends and spatial mobility of population on the world level. This was influenced by significant changes on the political scene of Europe and the world, globalisation, international capital flows, technical-technological progress, the IT revolution and so forth. International migration trends are mainly analysed from the perspective of the recipient countries, while research from the perspective of the origin countries is much rarer, and especially those which include both aspects. At the same time, there is an evident lack of reliable information containing data on migration trends between countries of origin and destination, regional origin and demographic structures of migrants, which hinders a more detailed territorial analysis. Serbia does not have satisfactory statistics on international migration as well, even though it is a country with long emigration tradition. The census data on the Serbian nationals working or residing abroad, regardless of the relatively large census undercount, present the main sources of statistical information on the characteristics of Serbian emigration, and practically the only source of data on their regional origin and socio-demographic features. Regional differences in view of the share of nationals abroad are very pronounced in Serbia. They were established as early as 1971 the Census and confirmed by every following census. The 2002 Census results indicated there were three typical emigration zones. The aim of the paper is to determine whether there have been changes in the spatial distribution of the emigrants from the regional aspect of Serbia as an origin country, based on 2011 Census final results. The characteristics of the Serbian citizens abroad, according to age and sex, length of stay abroad, country of destination and ethnic composition, have also been analyzed in this paper.

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Simpson, Stephen, and Elizabeth Middleton. "Undercount of migration in the UK 1991 Census and its impact on counterurbanisation and population projections." International Journal of Population Geography 5, no. 5 (September 1999): 387–405. http://dx.doi.org/10.1002/(sici)1099-1220(199909/10)5:5<387::aid-ijpg155>3.0.co;2-f.

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Anderson, Barbara A., and Brian D. Silver. "Estimating Census Undercount from School Enrollment Data: An Application to the Soviet Censuses of 1959 and 1970." Demography 22, no. 2 (May 1985): 289. http://dx.doi.org/10.2307/2061183.

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Griffin, Deborah H. "Commenting on An international perspective on the undercount of young children in the U.S. Census (DOI: 10.3233/SJI-161008)." Statistical Journal of the IAOS 33, no. 2 (May 12, 2017): 305–6. http://dx.doi.org/10.3233/sji-171039.

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