Replication Data for: Disproportionality in geographic representation

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Authors: Orit Kedar, Y. Amitai, Gilad Hurvitz
Cited by: 1

Abstract

We theoretically develop and empirically study the concept of geographic representation. We identify an overlooked aspect of (mis)representation in electoral systems: The degree to which within parties, voters residing in some districts are overrepresented at the expense of their co-partisans residing elsewhere. Drawing on district-level data of 113 parties from 12 districted democracies, we find a substantial degree of geographic representational discrepancies within parties. Importantly, we show that the discrepancy is often accompanied by a difference in policy positions between under and overrepresented districts, making it particularly significant politically. We derive a general measure for the discrepancy between the votes a party gains and the seats it holds in different districts, namely, geographic disproportionality (GeoDisp). Unlike malapportionment, GeoDisp is party specific, and draws on actual votes. Utilizing geocoded data, we find a substantial degree of geographic disproportionality, which, per our expectations, varies systematically by party.

Publication details

Journal / source
Harvard Dataverse
Publication date
19 April 2026
Document type
Dataset