ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CHICAGO, IL · NOVEMBER 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/illinois/chicago/november-2025-report
Monthly Traffic Safety Analysis
8,524 CRASHES IN
CHICAGO, IL
NOVEMBER 2025
In November 2025, Chicago recorded 8524 total crashes, a 4.62% decrease from the 8937 crashes reported in November 2024. Despite the overall reduction in crashes, total fatalities increased by 20%, rising from 10 to 12. A significant shift was observed in bicycle-involved crashes, which increased by 28.9% year-over-year.
8,524
▼ -4.6%was 8,937
Total Crash Events
12
▲ 20.0%was 10
Persons Killed
1,937
▲ 1.1%was 1,915
Persons Injured
2,569
▼ -5.1%was 2,706
Hit-and-Run Crashes
Note: "Persons Killed" (12) counts individual fatalities across all crash events. "Fatal" in the severity table below (9) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 13 crashes with unreported severity are not shown in the severity breakdown.
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The total number of crashes decreased by 413, a 4.62% reduction from the prior year. However, total fatalities increased by 20%, rising from 10 to 12. Total injuries also saw a slight increase of 1.15%, from 1915 to 1937.
2,569
Hit-and-Run Crashes — November 2025
▼ -5.1% vs prior (2,706)
The number of hit-and-run crashes decreased by 137, falling from 2706 to 2569. This change represents a 5.06% reduction in count. The hit-and-run rate also saw a slight decrease, moving from 30.3% in the prior period to 30.1% in the current period.
Vulnerable Road User Casualties
2
Pedestrians Killed
1
Cyclists Killed
9
Motorists Killed
0
Other Killed
234
Pedestrians Injured
113
Cyclists Injured
1,584
Motorists Injured
6
Other Injured
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes shifted from Friday in November 2024 (1545 crashes) to Saturday in November 2025 (1658 crashes). While the peak hour remained 5 PM in both periods, the number of crashes during this hour decreased from 715 to 601. Crashes on Sundays and Saturdays saw increases of 24% and 24.8% respectively, contrasting with significant decreases on Thursdays (-27.3%) and Fridays (-19.5%).
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Crash date field aggregated by weekday
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Fatal crashes remained constant at 9 in both periods, though total fatalities increased from 10 to 12. Serious injury crashes (A) decreased by 11, while minor injury crashes (B) increased by 43. The proportion of fatal crashes stayed at 0.1% of the total crashes in both periods.
Severity is per crash event (most severe injury). 9 fatal crash events resulted in 12 persons killed.
Outcome by Severity (Crash Events)
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · KABCO injury classification scale
Severity Distribution
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Most severe injury per crash record
Top Contributing Factors
The most significant change in contributing factors was 'WEATHER', which increased by 125 crashes, from 182 to 307, representing a 68.7% increase in count. 'Following Too Closely' decreased by 128 crashes, and 'Improper Overtaking/Passing' decreased by 69 crashes. 'Failing to Yield Right-of-Way' remained the top factor, decreasing slightly from 1006 to 982 crashes.
Officer-Reported Primary Contributing Cause
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
There was a notable shift in weather conditions, with crashes occurring in 'SNOW' increasing by 320 (74.8%) and crashes in 'RAIN' decreasing by 688 (58.1%). Correspondingly, 'SNOW OR SLUSH' as a road surface condition increased by 323 crashes (84.8%), while 'WET' road surface crashes decreased by 683 (42.9%). Crashes occurring in 'DARKNESS' decreased by 104, a 16.6% reduction.
Weather
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Weather condition at time of crash
Lighting
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Lighting condition field
Road Surface
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes decreased by 878, a 4.8% reduction year-over-year. Bicycle-involved vehicles saw a significant increase of 39, a 30% rise, while pedestrian-involved vehicles decreased by 20. All reported age groups experienced a decrease in person counts, with the 0-15 age group showing the largest percentage decrease of 17%.
Top Vehicle Makes (17,307 vehicles)
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Vehicle unit records
5,330 persons with unknown or unrecorded age excluded from age chart. Age=0 in Chicago records is a sentinel for unknown/unrecorded age (not infants) and is grouped with nulls.
Sex Distribution (18,178 persons with recorded sex)
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes in 30 MPH zones decreased from 6692 to 6344, with fatal crashes in these zones decreasing from 7 to 6. A fatal crash occurred in a 15 MPH zone in the current period, where none were recorded in the prior period. Additionally, a fatal crash occurred in a 50 MPH zone in the current period, where no crashes were reported in that zone in the prior period.
Fatal crashes by zone: 15 mph: 1 of 295 (0.339%) · 30 mph: 6 of 6,344 (0.095%) · 40 mph: 1 of 102 (0.98%) · 50 mph: 1 of 6 (16.667%)
Source: Chicago Traffic Crashes · Socrata Open Data · 2025-11-01 to 2025-11-30 · Posted speed limit at crash location
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Chicago Traffic Crashes, accessed programmatically via the Socrata Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.
Data Retrieval
- Access method: Socrata Open Data API (SoQL queries)
- Data format: Structured JSON via REST API
- Record types queried: Crash events, person records, and vehicle unit records
- Date filter applied: 2025-11-01 through 2025-11-30
- Report generated: June 1, 2026
Data Coverage
- Reporting period: 2025-11-01 through 2025-11-30 (30 days)
- Geographic scope: Chicago, IL
- Total crash records analyzed: 8,524
- Total persons involved: 18,478
- Total vehicles involved: 17,307
Analytical Methodology
- Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
- Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
- Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
- Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
- Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
- Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
- AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.
Limitations & Disclaimers
- Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
- Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
- Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
- AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
- Percentages are calculated from reported data and are subject to rounding.
Non-Affiliation Disclosure
This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.
Data License
The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.
Corrections & Feedback
If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.
Suggested Citation
ThatCarHitMe.com (Injuria.ai). "Chicago, IL Crash Intelligence Report." Published June 1, 2026. Data source: Chicago Traffic Crashes, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/illinois/chicago/november-2025-report
About the Publisher
ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.
Questions about this report's data or methodology: data@injuria.ai
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Chicago Traffic Crashes · Socrata
Period: 2025-11-01 – 2025-11-30
Generated: June 1, 2026 · All rights reserved