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Municipal Court Case Analysis

Data-Driven Policy Solutions for Court Operations

October 2025 Analysis • 19,906 Cases • Austin, TX

Total Cases Analyzed

19,906

+12%

Active Cases

13,586

68.3%

Potential Savings

$263K

Annual

Data Quality Gap

89.5%

Missing Demographics

Project Overview

This comprehensive analysis examined one month (October 2025) of municipal court case data containing 19,906 cases across multiple violation types. The project was designed to support evidence-based policy decisions and identify opportunities for operational improvement in municipal court operations.

Objective

Analyze municipal court cases to identify operational inefficiencies, equity concerns, and policy improvement opportunities while quantifying financial impact.

Key Achievement

Generated actionable recommendations with potential savings of $263,000+ annually and identified critical data quality gaps affecting 89.5% of cases.

Case Type Distribution

Parking (PK)17,547 (88.1%)
Traffic (TR)1,645 (8.3%)
Ordinance (OR)366 (1.8%)
Disabled Parking (CP)238 (1.2%)
Non-Traffic (NT)110 (0.6%)

Technology Stack

Data Processing

  • • Python 3.x
  • • Pandas & NumPy
  • • JSON parsing
  • • Feature engineering

Visualization

  • • Matplotlib
  • • Seaborn
  • • Statistical plots
  • • Interactive dashboards

Analysis

  • • Descriptive statistics
  • • Temporal analysis
  • • Geographic patterns
  • • Policy modeling

Interested in Similar Analysis?

Available for data science and policy analysis consulting