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New Area- and Population-based Geographic Crosswalks for U.S. Counties and Congressional Districts, 1790-2020

Principal Investigator(s): View help for Principal Investigator(s) Andreas Ferrara, University of Pittsburgh; Patrick A. Testa, Tulane University; Liyang Zhou, University of Pittsburgh

Version: View help for Version V1

Name	File Type	Size	Last Modified
crosswalk_1790_1880.csv	text/csv	321 KB	09/17/2021 12:57:PM
crosswalk_1800_1880.csv	text/csv	413.3 KB	09/17/2021 12:57:PM
crosswalk_1810_1880.csv	text/csv	584.5 KB	09/17/2021 12:57:PM
crosswalk_1820_1880.csv	text/csv	640.4 KB	09/17/2021 12:57:PM
crosswalk_1830_1880.csv	text/csv	684.8 KB	09/17/2021 12:57:PM
crosswalk_1840_1880.csv	text/csv	710.7 KB	09/17/2021 12:57:PM
crosswalk_1850_1880.csv	text/csv	840.6 KB	09/17/2021 12:57:PM
crosswalk_1860_1880.csv	text/csv	821.9 KB	09/17/2021 12:57:PM
crosswalk_1870_1880.csv	text/csv	788.6 KB	09/17/2021 12:57:PM
crosswalk_1890_1880.csv	text/csv	804.3 KB	09/17/2021 12:57:PM

Project Description

Summary: A common problem in applied research involves harmonizing geographic units across time or different levels of aggregation. We provide crosswalks that allow researchers i) to harmonize U.S. county boundaries over time across Census decades and ii) to generate congressional district level variables from county-level data. The crosswalks include an area-based approach as in Hornbeck (2010), as well as the new population-based methods from Ferrara, Testa, and Zhou (2021), which are based on granular sub-county population information. We also provide teaching material to demonstrate the utility of these new crosswalks.

Scope of Project

Geographic Coverage: USA

Universe: U.S. counties and congressional districts

Data Type(s): geographic information system (GIS) data

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