Chicago Crime Data Analysis Project
This project provides a data-driven exploration of crime incidents in Chicago, using real-time data from the Chicago Police Department. The analysis covers over 650,000 reported crimes between 2023 and the present, focusing on trends, hotspots, and social factors influencing crime rates
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Accessing the Data :
Primary Dataset
Crimes - 2023 to Present, from Chicago Data Portal.
Daily Updates
Data refreshed daily, typically 7 days behind the current date.
Flexible Formats
Available via API, CSV, and JSON for seamless integration.
What We Analyzed Crime Types :
  • Theft, battery, assault, criminal damage, gun-related crimes
  • Temporal Patterns: Crime trends by hour, day, season
  • Location Data: Neighborhoods with high crime density
  • Demographics: Socioeconomic indicators correlated with crime
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Key Insights from Crime Data Analysis
  • Total Recorded Crimes : Over 650,000 incidents reported from 2023 to present, across 31 crime types.
  • Peak Crime Periods : Most crimes occur during the night (151K) and evening (140K) hours.
  • Weekends, particularly Friday and Saturday, show the highest crime rates.
  • Public Places at Risk : 58% of crimes happen in public spaces such as streets, sidewalks, and parking lots.
  • Arrest Rate Concern : Only 13.64% of reported crimes resulted in arrests — indicating a potential gap in enforcement or evidence.
  • Gun-Related Crimes : 67,000 incidents involved firearms (approx. 10% of total crimes).
  • Socioeconomic Impact :
  • High-crime areas like Austin and Auburn Gresham correlate with : High unemployment, poverty, and lack of educational attainment
  • Seasonal Patterns : Spring and summer have elevated crime volumes (e.g., Spring = 184K).
  • Domestic Crime Share : Around 18.37% of crimes were domestic in nature — a significant social issue.
  • Danger Levels : 42% of crimes are classified as high danger, requiring urgent attention.
  • Theft and Battery alone account for over 40% of total crimes, indicating a strong need to address petty and violent street-level offenses.
  • Austin alone recorded 32,368 crimes, the highest in the city — tied strongly to low income, education, and a high hardship index. Near North Side, although wealthier, had 28K+ crimes, mostly thefts — indicating that commercial areas aren't immune to crime.
  • Despite expected drops in winter, crimes remained relatively stable — showing that seasonal variation is not dramatic in some communities.
  • Majority of high-danger crimes are clustered in areas with poor infrastructure, dense housing, and low community-police interaction.
Recommendations
  • Enhance Police Presence in Public Spaces Allocate patrols to hotspots like streets, alleys, and retail zones where most crimes are concentrated.
  • Focus Security During High-Risk Times Deploy more resources at night and on weekends to address crime peaks.
  • Strengthen Community Programs in High-Risk Areas Invest in education, employment, and youth engagement programs in areas like Austin and Humboldt Park.
  • Improve Arrest Efficiency Boost forensic and surveillance infrastructure to raise the arrest rate beyond the current 13.6%.
  • Establish Domestic Violence Support Systems Given the high percentage of domestic crimes, expand access to crisis centers, shelters, and public awareness campaigns.
  • Develop Predictive Policing Models Leverage historical time and location trends to anticipate future crime patterns and pre-position security forces.
  • Use Crime Severity Mapping Implement maps that highlight high-danger crime zones for better emergency response planning and public alerts.
Impact / Real-World Application
This analysis can help policymakers and police departments deploy resources more effectively, and highlights the importance of addressing root social issues like poverty and unemployment in reducing crime
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