ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CHICAGO, IL · JUNE 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/june-2019-report
Monthly Traffic Safety Analysis
10,706 CRASHES IN
CHICAGO, IL
JUNE 2019
In June 2019, Chicago experienced 10,706 total crashes, a slight increase from the 10,602 crashes recorded in June 2018, representing a 0.98% rise. Total fatalities remained stable at 11 in both periods. The most notable year-over-year shift was a 6.26% increase in total injuries, rising from 1,998 to 2,123.
10,706
▲ 1.0%was 10,602
Total Crash Events
11
Persons Killed
2,123
▲ 6.3%was 1,998
Persons Injured
2,913
▲ 4.1%was 2,798
Hit-and-Run Crashes
Note: "Persons Killed" (11) 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. 32 crashes with unreported severity are not shown in the severity breakdown.
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash data for June 2019 indicates a slight increase in crash frequency compared to June 2018, with total crashes rising by 104 incidents. This represents a 0.98% increase year-over-year. Despite stable fatalities, total injuries saw a more significant rise.
2,913
Hit-and-Run Crashes — June 2019
▲ 4.1% vs prior (2,798)
Hit-and-run crashes increased by 115 incidents, from 2,798 in June 2018 to 2,913 in June 2019. The hit-and-run rate also rose from 26.4% to 27.2% of all crashes year-over-year, indicating an upward trend.
Vulnerable Road User Casualties
5
Pedestrians Killed
0
Cyclists Killed
6
Motorists Killed
264
Pedestrians Injured
160
Cyclists Injured
1,699
Motorists Injured
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · 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 June 2018, which saw 2,029 crashes, to Saturday in June 2019, with 1,826 crashes. While Friday crashes decreased by 408 incidents, Wednesday crashes increased by 258 incidents year-over-year. The peak hour remained consistent at 4 p.m. in both periods, with 849 crashes in June 2019 compared to 826 in June 2018.
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · Crash date field aggregated by weekday
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The fatal crash rate decreased slightly from 0.09% in June 2018 to 0.08% in June 2019, with fatal crashes decreasing from 10 to 9. Serious injury crashes (severity A) decreased by 6 incidents, while minor injury crashes (severity B) increased by 16 incidents. The proportion of crashes resulting in no injury decreased marginally from 85.7% to 85.5%.
Severity is per crash event (most severe injury). 9 fatal crash events resulted in 11 persons killed.
Outcome by Severity (Crash Events)
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · KABCO injury classification scale
Severity Distribution
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · Most severe injury per crash record
Top Contributing Factors
The top contributing factor, 'FAILING TO YIELD RIGHT-OF-WAY,' decreased by 73 crashes (from 1,224 to 1,151) year-over-year. 'FOLLOWING TOO CLOSELY' also saw a reduction of 44 crashes, from 1,151 to 1,107. Conversely, 'FAILING TO REDUCE SPEED TO AVOID CRASH' increased by 26 crashes, rising from 457 to 483 incidents.
Officer-Reported Primary Contributing Cause
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in 'CLEAR' weather conditions increased by 109 incidents, while those in 'RAIN' decreased by 163 incidents year-over-year. Crashes during 'DAYLIGHT' decreased by 92 incidents, whereas those in 'DARKNESS, LIGHTED ROAD' increased by 112 incidents. For road surface conditions, crashes on 'DRY' surfaces increased by 107 incidents, while 'WET' surface crashes decreased by 101 incidents.
Weather
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · Weather condition at time of crash
Lighting
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · Lighting condition field
Road Surface
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes increased by 168, from 21,668 to 21,836. While the top three vehicle makes (Chevrolet, Toyota, Ford) remained consistent, Chevrolet and Toyota saw slight decreases in involvement, by 19 and 54 vehicles respectively. Honda vehicles involved increased by 78, moving it from sixth to fifth among top makes.
Top Vehicle Makes (21,836 vehicles)
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · Vehicle unit records
6,916 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 (23,689 persons with recorded sex)
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes in 30 mph zones remained stable with 7,830 incidents in June 2019 compared to 7,827 in June 2018, though fatalities in these zones decreased from 7 to 5. Crashes in 15 mph zones increased from 375 to 415, with fatalities in these zones rising from 0 to 1. Similarly, 40 mph zones saw an increase in crashes from 98 to 127, and fatalities increased from 0 to 1.
Fatal crashes by zone: 15 mph: 1 of 415 (0.241%) · 20 mph: 1 of 463 (0.216%) · 30 mph: 5 of 7,830 (0.064%) · 35 mph: 1 of 682 (0.147%) · 40 mph: 1 of 127 (0.787%)
Source: Chicago Traffic Crashes · Socrata Open Data · 2019-06-01 to 2019-06-30 · 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: 2019-06-01 through 2019-06-30
- Report generated: June 1, 2026
Data Coverage
- Reporting period: 2019-06-01 through 2019-06-30 (30 days)
- Geographic scope: Chicago, IL
- Total crash records analyzed: 10,706
- Total persons involved: 24,161
- Total vehicles involved: 21,836
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/june-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: 2019-06-01 – 2019-06-30
Generated: June 1, 2026 · All rights reserved