ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CHICAGO, IL · NOVEMBER 2019
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-2019-report
Monthly Traffic Safety Analysis
9,640 CRASHES IN
CHICAGO, IL
NOVEMBER 2019
Total crashes in November 2019 increased to 9,640, up 1.75% from 9,474 crashes in November 2018. The most significant year-over-year shift was in total fatalities, which rose by 160% from 5 in November 2018 to 13 in November 2019. Total injuries also saw an increase, climbing from 1,743 to 1,857.
9,640
▲ 1.8%was 9,474
Total Crash Events
13
▲ 160.0%was 5
Persons Killed
1,857
▲ 6.5%was 1,743
Persons Injured
2,466
▼ -1.9%was 2,514
Hit-and-Run Crashes
Note: "Persons Killed" (13) counts individual fatalities across all crash events. "Fatal" in the severity table below (10) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 22 crashes with unreported severity are not shown in the severity breakdown.
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash incidents showed a slight upward trend, with total crashes increasing by 1.75% from 9,474 in November 2018 to 9,640 in November 2019. Fatalities experienced a substantial increase of 160%, rising from 5 to 13 year-over-year. Total injuries also increased by 6.54%, from 1,743 to 1,857.
2,466
Hit-and-Run Crashes — November 2019
▼ -1.9% vs prior (2,514)
Hit-and-run crashes decreased by 48 incidents, from 2,514 in November 2018 to 2,466 in November 2019. The hit-and-run rate also decreased from 26.5% to 25.6% of total crashes, representing a decline of 0.9 percentage points.
Vulnerable Road User Casualties
6
Pedestrians Killed
2
Cyclists Killed
5
Motorists Killed
0
Other Killed
293
Pedestrians Injured
67
Cyclists Injured
1,496
Motorists Injured
1
Other Injured
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes remained Friday in both periods, though the count slightly decreased from 1,701 in November 2018 to 1,691 in November 2019. The peak hour for crashes also remained 5 PM, with counts increasing from 740 to 771 year-over-year. Tuesday saw a notable increase in crashes, rising from 1,404 in November 2018 to 1,601 in November 2019.
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · Crash date field aggregated by weekday
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The fatal crash rate increased from 0.04% (4 crashes) in November 2018 to 0.1% (10 crashes) in November 2019. The proportion of serious injury crashes remained stable at 1.6% in both periods. Minor injury crashes saw a slight increase in their share, from 7.5% to 7.8% of total crashes.
Severity is per crash event (most severe injury). 10 fatal crash events resulted in 13 persons killed.
Outcome by Severity (Crash Events)
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · KABCO injury classification scale
Severity Distribution
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · Most severe injury per crash record
Top Contributing Factors
Failing to Yield Right-of-Way, the top contributing factor, decreased by 99 crashes from 1,120 to 1,021 year-over-year. Conversely, 'Failing to Reduce Speed to Avoid Crash' increased by 52 crashes, from 426 to 478. 'Disregarding Traffic Signals' decreased by 40 crashes, from 190 to 150, while 'Disregarding Stop Sign' increased by 19 crashes, from 91 to 110.
Officer-Reported Primary Contributing Cause
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in clear weather conditions increased by 865, from 6,485 to 7,350, while those in snow decreased by 493, from 973 to 480. Crashes on wet road surfaces decreased by 549, from 1,998 to 1,449, but crashes on ice increased significantly from 164 to 530. Crashes in darkness with lighted roads increased by 211, from 2,645 to 2,856.
Weather
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · Weather condition at time of crash
Lighting
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · Lighting condition field
Road Surface
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes increased by 643, from 19,172 to 19,815. Toyota Motor Company, Ltd. became the top make involved in crashes, with its count increasing from 2,049 to 2,173, surpassing Chevrolet which saw a slight decrease. All age groups experienced an increase in persons involved, with the 26-34 age group seeing the largest rise of 177 persons.
Top Vehicle Makes (19,815 vehicles)
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · Vehicle unit records
5,856 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 (21,156 persons with recorded sex)
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes in 30 mph zones increased by 75, from 7,031 to 7,106, and fatal crashes in this zone increased from 2 to 8. In 25 mph zones, crashes increased by 74, from 542 to 616, but fatal crashes decreased from 2 to 1. Crashes in 40 mph zones increased by 11, from 80 to 91, with one fatal crash occurring in this zone in November 2019 compared to none in November 2018.
Fatal crashes by zone: 25 mph: 1 of 616 (0.162%) · 30 mph: 8 of 7,106 (0.113%) · 40 mph: 1 of 91 (1.099%)
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-11-01 to 2019-11-30 · 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: 2019-11-01 through 2019-11-30
- Report generated: June 1, 2026
Data Coverage
- Reporting period: 2019-11-01 through 2019-11-30 (30 days)
- Geographic scope: Chicago, IL
- Total crash records analyzed: 9,640
- Total persons involved: 21,556
- Total vehicles involved: 19,815
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-2019-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: 2019-11-01 – 2019-11-30
Generated: June 1, 2026 · All rights reserved