Javascript must be enabled to continue!
Does enumerating undocumented residents in the U.S. census affect congressional apportionment?
View through CrossRef
Abstract
In recent years American political figures, media pundits, and others have argued that undocumented residents in the United States should not be included in census data used for congressional apportionment. They argue that including them unfairly benefits some states ─ especially politically Democratic leaning (or “blue”) states, according to most arguments ─ at the expense of others. Some people have speculated that many more House seats and Electoral College votes would have been apportioned to politically Republican leaning (or “red”) states and that many fewer would have been apportioned to politically “blue” states if undocumented residents were excluded from apportionment data. The only systematic empirical examinations of this question occurred prior to the 2020 Census and projected ─ mostly inaccurately ─ how apportionment would differ after the 2020 Census under this hypothetical. Does including undocumented residents in U.S. census data used for congressional apportionment alter (a) political party representation in the House of Representatives or (b) presidential electoral college votes? We use annual state-level estimates of the undocumented resident population at each census date to examine the consequences of including them in official apportionment data since 1980. If undocumented residents had been entirely excluded from census data used for apportionment, no more than two House seats and three electoral college votes would have shifted between political parties in any year since 1980; this would have had no bearing on party control of the House or the outcome of presidential elections.
Title: Does enumerating undocumented residents in the U.S. census affect congressional apportionment?
Description:
Abstract
In recent years American political figures, media pundits, and others have argued that undocumented residents in the United States should not be included in census data used for congressional apportionment.
They argue that including them unfairly benefits some states ─ especially politically Democratic leaning (or “blue”) states, according to most arguments ─ at the expense of others.
Some people have speculated that many more House seats and Electoral College votes would have been apportioned to politically Republican leaning (or “red”) states and that many fewer would have been apportioned to politically “blue” states if undocumented residents were excluded from apportionment data.
The only systematic empirical examinations of this question occurred prior to the 2020 Census and projected ─ mostly inaccurately ─ how apportionment would differ after the 2020 Census under this hypothetical.
Does including undocumented residents in U.
S.
census data used for congressional apportionment alter (a) political party representation in the House of Representatives or (b) presidential electoral college votes? We use annual state-level estimates of the undocumented resident population at each census date to examine the consequences of including them in official apportionment data since 1980.
If undocumented residents had been entirely excluded from census data used for apportionment, no more than two House seats and three electoral college votes would have shifted between political parties in any year since 1980; this would have had no bearing on party control of the House or the outcome of presidential elections.
Related Results
Current Trends in Female Osteopathic Orthopedic Surgery Residents10.70709/FT09876-BQ
Current Trends in Female Osteopathic Orthopedic Surgery Residents10.70709/FT09876-BQ
Background
Matching into competitive surgical specialties, including orthopedic surgery, has been a competitive task for medical students; however, Doctors of Osteopathic Medicine ...
Knowledge, beliefs/attitudes and practices of rural residents in the prevention and control of COVID-19: An online questionnaire survey
Knowledge, beliefs/attitudes and practices of rural residents in the prevention and control of COVID-19: An online questionnaire survey
Abstract
Background: The outbreak of COVID-19 in Wuhan quickly spread to 34 provinces, municipalities and autonomous regions in the country and 184 countries and regions ar...
2021 Census to Census Coverage Survey Matching Results.
2021 Census to Census Coverage Survey Matching Results.
The 2021 England and Wales Census was matched to the Census Coverage Survey (CCS). This was an essential requisite for estimating undercount in the Census. To ensure outputs could ...
A Graduated Responsibility Supervising Resident Experience Using Mastery Learning Principles
A Graduated Responsibility Supervising Resident Experience Using Mastery Learning Principles
This article was migrated. The article was marked as recommended. Introduction: Supervising other residents and independently running an emergency department (ED) is different from...
Residents' practice and perceptions during the COVID-19 pandemic
Residents' practice and perceptions during the COVID-19 pandemic
Rationale, aims and objectives: This study aimed to determine the
residents’ perspectives on clinical practice during the pandemic of
coronavirus disease 2019 (COVID-19). Methods: ...
Emotional Tone of Dreams and Daily Affect
Emotional Tone of Dreams and Daily Affect
Abstract
One theoretical function of dreams is emotion processing. However, few studies have examined how daily emotions in waking life (i.e., daytime affect) affect...
Assessment of the Environmental and Health Effects of Solid Waste Disposal at Ikhueniro Dumpsite in Ikhueniro Community of Uhunmwode LGA, Benin City, Edo State, Nigeria
Assessment of the Environmental and Health Effects of Solid Waste Disposal at Ikhueniro Dumpsite in Ikhueniro Community of Uhunmwode LGA, Benin City, Edo State, Nigeria
Compared to those in developed countries, residents in developing countries like Nigeria, especially the urban poor in Benin City, are more severely impacted by unsustainably manag...
Prevalence of burnout and its correlates among residents in a tertiary medical center in Kerala, India
Prevalence of burnout and its correlates among residents in a tertiary medical center in Kerala, India
Background and Rationale:
Residents work in emotionally demanding environments with multiple stressors. The risk for burnout is high in them and it has significant nega...

