Electoral precinct-level database for Mexican municipal elections.

Area of Science:

• Political Science
• Electoral Studies
• Data Science

Background:

• Understanding Mexican local elections requires granular, longitudinal data.
• Existing datasets often lack precinct-level detail or comprehensive coverage.
• A standardized database is crucial for robust electoral analysis.

Purpose of the Study:

• To introduce a novel database of Mexican municipal election returns from 1994 to 2019.
• To provide fine-grained, precinct-level data for electoral research.
• To facilitate cross-sectional and longitudinal studies of local Mexican politics.

Main Methods:

• Compilation of electoral precinct-level data for Mexican municipal elections (1994-2019).
• Inclusion of vote counts for coalitions, major parties, incumbent performance, and voter turnout.
• Standardization of data sources and key variables for consistent analysis.

Main Results:

• A detailed database covering over two decades of Mexican municipal elections.
• Includes precinct-level votes, registered voters, turnout, and historical electoral performance.
• Data is organized to support advanced analytical techniques like panel and regression discontinuity analyses.

Conclusions:

• The database offers a valuable resource for studying Mexican local electoral dynamics.
• Enables in-depth analysis of electoral behavior and political trends at a granular level.
• Facilitates future research on electoral integrity and political accountability in Mexico.