Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-28T05:23:26.875Z Has data issue: false hasContentIssue false

The Malapportionment of the US House of Representatives: 1940–2020

Published online by Cambridge University Press:  21 June 2022

Ruoxi Li*
Affiliation:
California State University San Marcos, USA

Abstract

In the latest round of the apportionment of the US House of Representatives following the 2020 Census, the State of New York lost a seat by an extremely small margin: if a mere 89 people were added to the state’s population of 20 million, the state would have kept the seat. Political observers pointed to the tendency of the US Census to undercount minority and immigrant populations as the primary culprit. However, New York’s seat loss is as much an issue of apportionment as it is of counting. The current apportionment method used by the federal government, Huntington-Hill’s method, is biased against more populous states such as New York. If an alternative apportionment method were used, such as Webster’s method, New York would have kept the seat. This article discusses four historical apportionment methods: Hamilton’s method, Huntington-Hill’s method, Jefferson’s method, and Webster’s method. These methods are evaluated against the three criteria of within-quota, consistency, and unbiasedness. The article shows that Huntington-Hill’s method has produced biased apportionment results in eight of nine apportionments since its official adoption in 1941. The article concludes with a recommendation for replacing the current apportionment method with the only unbiased divisor method: Webster’s method.

Type
Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the American Political Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Agnew, Robert A. 2008. “Optimal Congressional Apportionment.” American Mathematical Monthly 115 (4): 297303.CrossRefGoogle Scholar
Balinski, Michel L., and Young, H. Peyton. 2001. Fair Representation: Meeting the Ideal of One Man, One Vote. Washington, DC: Brookings Institution Press.Google Scholar
Frederick, Brian. 2009. Congressional Representation and Constituents: The Case for Increasing the U.S. House of Representatives. New York: Routledge.CrossRefGoogle Scholar
Gaines, Brian J., and Jenkins, Jeffery A.. 2009. “Apportionment Matters: Fair Representation in the US House and Electoral College.” Perspectives on Politics 7 (4): 849–57.CrossRefGoogle Scholar
Ladewig, Jeffrey W., and Jasinski, Mathew P.. 2008. “On the Causes and Consequences of and Remedies for Interstate Malapportionment of the U.S. House of Representatives.” Perspectives on Politics 6 (1): 89107.CrossRefGoogle Scholar
Li, Ruoxi. 2022. “Replication Data for: ‘The Malapportionment of the US House of Representatives: 1940–2020.’” Harvard Dataverse. DOI:10.7910/DVN/43ZSGA.CrossRefGoogle Scholar
Neubauer, Michael G., and Zeitlin, Joel. 2003. “Outcomes of Presidential Elections and the House Size.” PS: Political Science & Politics 36 (4): 721–25.Google Scholar
Robinson, E. Arthur, and Ullman, Daniel H.. 2016. The Mathematics of Politics, second edition. Boca Raton, FL: CRC Press.CrossRefGoogle Scholar
Link
Supplementary material: PDF

Li supplementary material

Online Appendix

Download Li supplementary material(PDF)
PDF 735.2 KB