ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CHICAGO, IL · NOVEMBER 2022
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-2022-report
Monthly Traffic Safety Analysis
8,795 CRASHES IN
CHICAGO, IL
NOVEMBER 2022
In November 2022, Chicago experienced 8,795 total crashes, a slight increase of 0.24% compared to 8,774 crashes in November 2021. The most notable year-over-year shift was a 50% decrease in total fatalities, from 20 in the prior period to 10 in the current period. Total injuries saw a 2.13% increase, rising from 1,733 to 1,770.
8,795
▲ 0.2%was 8,774
Total Crash Events
10
▼ -50.0%was 20
Persons Killed
1,770
▲ 2.1%was 1,733
Persons Injured
2,872
▼ -1.4%was 2,913
Hit-and-Run Crashes
Note: "Persons Killed" (10) counts individual fatalities across all crash events. "Fatal" in the severity table below (8) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 33 crashes with unreported severity are not shown in the severity breakdown.
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, the number of total crashes remained relatively stable year-over-year, with a marginal increase of 0.24% from 8,774 to 8,795. Despite this slight increase in crash volume, total fatalities significantly decreased by 50%, while total injuries increased by 2.13%.
2,872
Hit-and-Run Crashes — November 2022
▼ -1.4% vs prior (2,913)
The number of hit-and-run crashes decreased from 2,913 in the prior period to 2,872 in the current period, a reduction of 41 crashes. Consequently, the hit-and-run rate saw a slight decline from 33.2% to 32.7% of all crashes.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
8
Motorists Killed
0
Other Killed
233
Pedestrians Injured
86
Cyclists Injured
1,447
Motorists Injured
4
Other Injured
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · 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 Tuesday in both periods, with 1,554 crashes in the current period compared to 1,478 in the prior period. The peak hour for crashes also remained 3 PM, though the count decreased from 698 in the prior period to 673 in the current period. Crashes on Monday decreased from 1,443 to 1,108, while Friday crashes increased from 1,368 to 1,397.
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · Crash date field aggregated by weekday
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The fatal crash rate decreased from 0.21% in November 2021 to 0.09% in November 2022, corresponding to a drop from 18 fatal crashes to 8. Serious injury crashes (severity A) increased from 145 (1.7% of total crashes) to 162 (1.8% of total crashes). Minor injury crashes (severity B) also saw a slight increase from 745 (8.5%) to 757 (8.6%), while possible injury crashes (severity C) decreased from 393 (4.5%) to 364 (4.1%).
Severity is per crash event (most severe injury). 8 fatal crash events resulted in 10 persons killed.
Outcome by Severity (Crash Events)
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · KABCO injury classification scale
Severity Distribution
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · Most severe injury per crash record
Top Contributing Factors
FAILING TO YIELD RIGHT-OF-WAY remained the top contributing factor, decreasing slightly from 983 crashes to 975 crashes, a -0.81% change in count. FOLLOWING TOO CLOSELY decreased from 743 crashes to 712 crashes, a -4.17% change in count. Notably, crashes attributed to WEATHER as a contributing factor saw a substantial increase of 242.86% in count, rising from 42 crashes in the prior period to 144 crashes in the current period.
Officer-Reported Primary Contributing Cause
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
There were significant shifts in weather-related crash conditions, with crashes occurring in SNOW increasing from 64 to 365, and those in ICE increasing from 7 to 119. Conversely, crashes in CLEAR weather decreased from 7,239 to 6,748. Regarding road surface, crashes on DRY roads decreased from 7,065 to 6,383, while crashes on WET roads increased from 841 to 993, and on SNOW OR SLUSH from 11 to 138.
Weather
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · Weather condition at time of crash
Lighting
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · Lighting condition field
Road Surface
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes saw a minor increase from 17,943 to 17,971. Among top vehicle makes, TOYOTA-involved crashes increased by 98 (from 1,823 to 1,921), while CHEVROLET-involved crashes decreased by 34 (from 1,979 to 1,945). In terms of person age distribution, the 65+ age group saw the largest increase in involvement, rising from 970 to 1,098 persons, while the 0-15 age group saw a decrease from 673 to 579 persons.
Top Vehicle Makes (17,971 vehicles)
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · Vehicle unit records
5,742 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 (18,483 persons with recorded sex)
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes in the 30 MPH speed limit zone, which accounted for the majority of incidents, decreased slightly from 6,482 to 6,466 crashes. Fatal crashes within the 30 MPH zone significantly decreased from 12 to 7. Crashes in the 35 MPH zone increased from 546 to 597, but fatal crashes in this zone decreased from 3 to 1.
Fatal crashes by zone: 30 mph: 7 of 6,466 (0.108%) · 35 mph: 1 of 597 (0.168%)
Source: Chicago Traffic Crashes · Socrata Open Data · 2022-11-01 to 2022-11-30 · 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: 2022-11-01 through 2022-11-30
- Report generated: June 1, 2026
Data Coverage
- Reporting period: 2022-11-01 through 2022-11-30 (30 days)
- Geographic scope: Chicago, IL
- Total crash records analyzed: 8,795
- Total persons involved: 18,829
- Total vehicles involved: 17,971
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-2022-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: 2022-11-01 – 2022-11-30
Generated: June 1, 2026 · All rights reserved