National Neighborhood Data Archive (NaNDA): Voter Registration, Turnout, and Partisanship by County, United States, 2004-2018

Principal Investigator(s): View help for Principal Investigator(s) Megan Chenoweth, University of Michigan. Institute for Social Research; Mao Li, University of Michigan. Institute for Social Research; Iris N. Gomez-Lopez, University of Michigan. Institute for Social Research; Ken Kollman, University of Michigan. Institute for Social Research

Version: View help for Version V2

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National Neighborhood Data Archive (NaNDA): Voter Registration, Turnout, and Partisanship by County, United States, 2004-2018		0

Project Citation:

Chenoweth, Megan, Li, Mao, Gomez-Lopez, Iris N., and Kollman, Ken. National Neighborhood Data Archive (NaNDA): Voter Registration, Turnout, and Partisanship by County, United States, 2004-2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-11-04. https://doi.org/10.3886/E125781V2

Project Description

Summary: This dataset contains counts of voter registration and voter turnout for all counties in the United States for the years 2004-2018. It also contains measures of each county’s Democratic and Republican partisanship, including six-year longitudinal partisan indices for 2006-2016.

A curated version of this data is available through ICPSR at https://doi.org/10.3886/ICPSR38506.v1.

Scope of Project

Subject Terms: voters; voter registration; voter turnout; political partisanship

Geographic Coverage: United States

Universe: Counties in the United States, excluding Alaska and U.S. island territories.

Data Type(s): aggregate data

Methodology

Data Source: Voter turnout and registration data comes from the United States Election Assistance Commission's annual Election Administration and Voting Survey, 2004-2018 (https://www.eac.gov/research-and-data/datasets-codebooks-and-surveys). Partisanship indices were created with voting data from the MIT Election Science and Data Lab (https://electionlab.mit.edu/data) and the Harvard Election Data Archive Dataverse (https://dataverse.harvard.edu/dataverse/eda).

Unit(s) of Observation: county, year

Geographic Unit: county

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