ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CHICAGO, IL · JUNE 2017
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-2017-report
Monthly Traffic Safety Analysis
6,212 CRASHES IN
CHICAGO, IL
JUNE 2017
Total crashes in June 2017 were 6212, a significant increase from 2831 crashes reported in June 2016. This represents a 119.4% rise in overall crash incidents year-over-year. The most notable shift was the increase in total fatalities, which rose from 0 in June 2016 to 9 in June 2017.
6,212
▲ 119.4%was 2,831
Total Crash Events
9
Persons Killed
787
▲ 283.9%was 205
Persons Injured
1,666
▲ 107.2%was 804
Hit-and-Run Crashes
Note: "Persons Killed" (9) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 3 crashes with unreported severity are not shown in the severity breakdown.
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash incidents in June 2017 showed a substantial upward trend compared to June 2016. The total number of crashes increased by 3381, marking a 119.4% rise year-over-year. This indicates a significant increase in crash frequency for the period.
1,666
Hit-and-Run Crashes — June 2017
▲ 107.2% vs prior (804)
The count of hit-and-run crashes increased from 804 in June 2016 to 1666 in June 2017. Despite this increase in raw numbers, the hit-and-run rate decreased slightly from 28.4% to 26.8% of total crashes. This indicates that while more hit-and-run incidents occurred, they constituted a smaller proportion of the overall crash increase.
Vulnerable Road User Casualties
2
Pedestrians Killed
1
Cyclists Killed
6
Motorists Killed
87
Pedestrians Injured
56
Cyclists Injured
644
Motorists Injured
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · 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 Wednesday (481 crashes) in June 2016 to Friday (1149 crashes) in June 2017. While the peak hour remained 4 p.m. in both periods, the number of crashes during this hour increased from 276 to 586. All days of the week experienced an increase in crash counts year-over-year.
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · Crash date field aggregated by weekday
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Fatalities increased from 0 in June 2016 to 9 in June 2017, with the fatal crash rate rising from 0% to 0.11%. Total injuries also saw a substantial increase, from 205 to 787 year-over-year. The proportion of serious injury crashes (code A) rose from 0.5% to 1.1%, and minor injury crashes (code B) increased from 2.8% to 4.6% of total crashes.
Severity is per crash event (most severe injury). 7 fatal crash events resulted in 9 persons killed.
Outcome by Severity (Crash Events)
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · KABCO injury classification scale
Severity Distribution
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · Most severe injury per crash record
Top Contributing Factors
"FOLLOWING TOO CLOSELY" remained the leading contributing factor, increasing from 411 incidents in June 2016 to 763 in June 2017. "FAILING TO YIELD RIGHT-OF-WAY" also remained a top factor, rising from 278 to 628 incidents. "IMPROPER BACKING" became the third most common factor in June 2017 with 313 incidents, up from 153 in the prior year.
Officer-Reported Primary Contributing Cause
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Clear weather, dry road surfaces, and daylight remained the predominant conditions for crashes in both periods. Crashes occurring in clear weather increased from 2487 to 5570, while those on dry roads rose from 2440 to 5436. Similarly, crashes during daylight hours increased from 2208 to 4770, reflecting the overall increase in crash volume.
Weather
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · Weather condition at time of crash
Lighting
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · Lighting condition field
Road Surface
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes more than doubled, from 5709 in June 2016 to 12584 in June 2017. "DRIVER" remained the most common vehicle type involved, with counts rising from 4930 to 10856. The top three vehicle makes involved in crashes—Chevrolet, Toyota, and Ford—maintained their rankings, all experiencing significant increases in their respective counts.
Top Vehicle Makes (12,584 vehicles)
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · Vehicle unit records
4,551 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 (13,789 persons with recorded sex)
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · Person-level records linked to crash events
Speed Limit Zones
The majority of crashes in both periods occurred in 30 mph speed zones, increasing from 2061 to 4581 incidents. Fatal crashes in 30 mph zones rose from 0 to 6, resulting in a fatal crash rate of 0.131% in June 2017. Crashes in 35 mph zones also increased from 179 to 432, with 1 fatal crash recorded in June 2017 compared to 0 in the prior year.
Fatal crashes by zone: 30 mph: 6 of 4,581 (0.131%) · 35 mph: 1 of 432 (0.231%)
Source: Chicago Traffic Crashes · Socrata Open Data · 2017-06-01 to 2017-06-30 · 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: 2017-06-01 through 2017-06-30
- Report generated: June 1, 2026
Data Coverage
- Reporting period: 2017-06-01 through 2017-06-30 (30 days)
- Geographic scope: Chicago, IL
- Total crash records analyzed: 6,212
- Total persons involved: 13,962
- Total vehicles involved: 12,584
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-2017-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: 2017-06-01 – 2017-06-30
Generated: June 1, 2026 · All rights reserved