Yearly Traffic Safety Analysis

44,297 CRASHES IN
CHICAGO, IL
2016

In 2016, Chicago recorded 44,297 traffic crashes, resulting in 14 fatalities and 3,613 injuries. The majority of these incidents, 93.8%, resulted in no injuries. A notable finding is that crashes peaked during the afternoon commute, with the 3 p.m. hour having the highest frequency, and Fridays being the most common day for collisions.

44,297

Total Crash Events

14

Persons Killed

3,613

Persons Injured

26.0%

Hit-and-Run Rate

Note: "Persons Killed" (14) counts individual fatalities across all crash events. "Fatal" in the severity table below (14) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 58 crashes with unreported severity are not shown in the severity breakdown.

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Aggregate counts from crash, person, and vehicle records

11,505

Hit-and-Run Crashes — 2016

Based on initial officer reports, 11,505 crashes in 2016 were classified as hit-and-runs. This accounts for 26% of all recorded traffic incidents for the year. This determination is made at the scene and reflects the information available at the time of the report.

Vulnerable Road User Casualties

Of the 3,613 people injured and 14 killed in crashes, motorists comprised the largest group, with 12 motorists killed and 3,088 injured. Vulnerable road users also sustained significant harm, with one pedestrian and one cyclist killed. Additionally, 347 pedestrians and 178 cyclists were reported injured in traffic incidents during the year.

1

Pedestrians Killed

1

Cyclists Killed

12

Motorists Killed

347

Pedestrians Injured

178

Cyclists Injured

3,088

Motorists Injured

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash patterns in 2016 show a clear concentration during weekday afternoon commutes. Fridays were the most frequent day for crashes with 7,394 incidents, and the single hour with the most events was 3 p.m., which saw 3,747 crashes. Crashes were most common during daylight hours (29,749), but a substantial number (7,824) also occurred on lighted roads after dark. Seasonally, crash counts were highest in the last three months of the year, with December recording the most incidents (5,052).

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Crash date field aggregated by weekday

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The vast majority of crashes in 2016 did not result in physical harm, with 93.8% (41,570) classified as 'No Injury'. Injury-related crashes accounted for a combined 6.0% of the total, including 277 serious injury crashes and 1,202 minor injury crashes. There were 14 fatal crash events recorded during the year, which resulted in a total of 14 fatalities.

Outcome by Severity (Crash Events)

Fatal14fatal crashes0%
Serious Injury277serious injury crashes0.6%
Minor Injury1,202minor injury crashes2.7%
Possible Injury1,176possible injury crashes2.7%
No Injury41,570no injury crashes93.8%

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · KABCO injury classification scale

Severity Distribution

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Most severe injury per crash record

Top Contributing Factors

Driver behavior was the primary cause cited in most crashes where a factor could be determined. 'Following too closely' was the leading contributing factor, attributed to 5,705 crashes (12.9% of the total). The second most common factor was 'Failing to yield right-of-way,' which was cited in 4,217 incidents (9.5%). Other significant factors included improper overtaking (2,422 crashes) and improper backing (2,356 crashes).

Officer-Reported Primary Contributing Cause

FOLLOWING TOO CLOSELY5,705 (12.9%)
FAILING TO YIELD RIGHT-OF-WAY4,217 (9.5%)
IMPROPER OVERTAKING/PASSING2,422 (5.5%)
IMPROPER BACKING2,356 (5.3%)
IMPROPER LANE USAGE1,866 (4.2%)
DRIVING SKILLS/KNOWLEDGE/EXPERIENCE1,746 (3.9%)
IMPROPER TURNING/NO SIGNAL1,409 (3.2%)
FAILING TO REDUCE SPEED TO AVOID CRASH1,223 (2.8%)
WEATHER595 (1.3%)
DISREGARDING TRAFFIC SIGNALS432 (1%)

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Most crashes occurred in ideal driving conditions. In 2016, 80% of crashes (35,422) happened in clear weather, and 75.7% (33,532) occurred on dry road surfaces. Daylight was the lighting condition for 67.2% of incidents (29,749). Crashes in adverse conditions were less frequent, with 3,572 incidents during rain and 1,359 during snow.

Weather

CLEAR35,422 (85.0%)
RAIN3,572 (8.6%)
SNOW1,359 (3.3%)
CLOUDY/OVERCAST1,087 (2.6%)
OTHER110 (0.3%)
FOG/SMOKE/HAZE52 (0.1%)
SLEET/HAIL44 (0.1%)
SEVERE CROSS WIND GATE17 (0.0%)

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Weather condition at time of crash

Lighting

DAYLIGHT29,749 (70.6%)
DARKNESS, LIGHTED ROAD7,824 (18.6%)
DARKNESS2,433 (5.8%)
DUSK1,457 (3.5%)
DAWN688 (1.6%)

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Lighting condition field

Road Surface

DRY33,532 (82.5%)
WET5,214 (12.8%)
SNOW OR SLUSH1,452 (3.6%)
ICE326 (0.8%)
OTHER91 (0.2%)
SAND, MUD, DIRT15 (0.0%)

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Road surface condition field

Vehicles & Demographics

Analysis of the 96,022 persons involved in crashes shows the 26-34 age group was the most represented, accounting for 14,747 individuals, followed by the 35-44 age group with 12,213 individuals. Among vehicle makes involved in incidents, Chevrolet was the most frequent with 10,865 vehicles recorded. This was followed by Toyota with 10,478 vehicles and Ford with 8,658 vehicles.

Top Vehicle Makes (89,146 vehicles)

1
CHEVROLET10,865 (12.2%)
2
TOYOTA MOTOR COMPANY, LTD.10,478 (11.8%)
3
FORD8,658 (9.7%)
4
NISSAN6,994 (7.8%)
5
HONDA5,781 (6.5%)
6
DODGE4,284 (4.8%)
7
HYUNDAI3,196 (3.6%)
8
JEEP2,931 (3.3%)
9
CHRYSLER2,108 (2.4%)
10
BUICK1,713 (1.9%)

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Vehicle unit records

31,555 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 (94,734 persons with recorded sex)

Male49,145 (51.9%)
Female37,355 (39.4%)
Non-Binary8,234 (8.7%)

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Person-level records linked to crash events

Speed Limit Zones

The majority of crashes occurred in 30 mph zones, which accounted for 32,766 incidents, or approximately 74% of all crashes. These zones also saw the highest number of fatal crashes, with 9 of the 14 total. While the 30 mph zone had the most crashes, 0.027% of crashes within that zone were fatal. In contrast, 35 mph zones, which had 2,761 crashes, experienced a higher fatal crash rate of 0.109% for incidents occurring within that speed limit.

Fatal crashes by zone: 10 mph: 1 of 874 (0.114%) · 20 mph: 1 of 1,544 (0.065%) · 30 mph: 9 of 32,766 (0.027%) · 35 mph: 3 of 2,761 (0.109%)

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Posted speed limit at crash location

Crashes by District

Crash distribution was concentrated in specific areas of the city, with Chicago Police District 08 recording the highest number of incidents at 4,124, representing 9.3% of the city's total. District 01 followed closely with 3,986 crashes. Together, these two districts accounted for over 18% of all crashes in 2016.

Crashes by District

"Other" combines 15 smaller categories (22,510 records): District 24 (1,898), District 10 (1,863), District 19 (1,749), District 09 (1,712), District 11 (1,665), District 14 (1,552), District 07 (1,537), District 17 (1,504), District 22 (1,425), District 16 (1,415), District 15 (1,379), District 04 (1,344), District 02 (1,317), District 20 (1,231), District 05 (919).

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Person-level records

First Crash Type

Rear-end collisions were the most prevalent type of crash, accounting for 12,884 incidents or 29.1% of the total. The second most common event involved striking a parked motor vehicle, which occurred 9,780 times (22.1%). Sideswipes in the same direction of travel were also common, with 8,336 reported incidents.

First Crash Type

1
REAR END12,884 (29.1%)
2
PARKED MOTOR VEHICLE9,780 (22.1%)
3
SIDESWIPE SAME DIRECTION8,336 (18.8%)
4
TURNING5,505 (12.4%)
5
ANGLE4,431 (10%)
6
FIXED OBJECT1,092 (2.5%)
7
SIDESWIPE OPPOSITE DIRECTION676 (1.5%)
8
PEDESTRIAN434 (1%)
9
PEDALCYCLIST373 (0.8%)

Showing top 9 of 15 reported. 6 additional (786 total) not shown: HEAD ON, OTHER OBJECT, OTHER NONCOLLISION, ANIMAL, OVERTURNED, TRAIN.

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Person-level records

Point of Impact

Analysis of the initial point of impact on the 89,146 vehicles involved shows that frontal impacts were the most common. The front of the vehicle was the point of impact in 17,831 cases (20.0%). This was followed by rear impacts, which were recorded for 14,680 vehicles (16.5%).

Point of Impact

"Other" combines 5 smaller categories (5,674 records): REAR-RIGHT (4,828), OTHER (316), TOTAL (ALL AREAS) (299), UNDER CARRIAGE (150), ROOF (81).

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Person-level records

Pre-Crash Driver Action

The most common action of vehicles prior to a crash was proceeding straight ahead, which was the case for 39,367 vehicles, or 44.2% of all vehicles involved. The second most frequent pre-crash action was being parked, accounting for 10,187 vehicles (11.4%). A significant number of vehicles were also reported as slowing or stopped in traffic (8,068) before the collision.

Pre-Crash Driver Action

1
STRAIGHT AHEAD39,367 (44.7%)
2
PARKED10,187 (11.6%)
3
SLOW/STOP IN TRAFFIC8,068 (9.2%)
4
UNKNOWN/NA7,592 (8.6%)
5
BACKING4,514 (5.1%)
6
TURNING LEFT4,114 (4.7%)
7
TURNING RIGHT2,667 (3%)
8
PASSING/OVERTAKING2,333 (2.6%)
9
CHANGING LANES2,155 (2.4%)

Showing top 9 of 27 reported. 18 additional (7,111 total) not shown: OTHER, ENTERING TRAFFIC LANE FROM PARKING, STARTING IN TRAFFIC, MERGING, SLOW/STOP - LEFT TURN, LEAVING TRAFFIC LANE TO PARK, U-TURN, ENTER FROM DRIVE/ALLEY, SLOW/STOP - RIGHT TURN, AVOIDING VEHICLES/OBJECTS, SKIDDING/CONTROL LOSS, PARKED IN TRAFFIC LANE, SLOW/STOP - LOAD/UNLOAD, NEGOTIATING A CURVE, DRIVING WRONG WAY, TURNING ON RED, DRIVERLESS, DIVERGING.

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Person-level records

Pedestrian/Cyclist Action

Among the 942 pedestrians involved in crashes where their action was known, the most common behavior was walking with traffic, reported in 189 cases. The second most frequent action was crossing at an intersection with the signal, which accounted for 159 incidents. Conversely, 48 pedestrians were reported as crossing against the signal when the crash occurred.

Pedestrian/Cyclist Action

1
WITH TRAFFIC189 (21.2%)
2
CROSSING - WITH SIGNAL159 (17.8%)
3
UNKNOWN/NA159 (17.8%)
4
OTHER ACTION109 (12.2%)
5
NO ACTION54 (6%)
6
NOT AT INTERSECTION53 (5.9%)
7
CROSSING - AGAINST SIGNAL48 (5.4%)
8
AGAINST TRAFFIC43 (4.8%)
9
STANDING IN ROADWAY19 (2.1%)

Showing top 9 of 17 reported. 8 additional (60 total) not shown: PARKED VEHICLE, TURNING LEFT, ENTER FROM DRIVE/ALLEY, PLAYING IN ROADWAY, INTOXICATED PED/PEDAL, TURNING RIGHT, WORKING IN ROADWAY, PLAYING/WORKING ON VEHICLE.

Source: Chicago Traffic Crashes · Socrata Open Data · 2016-01-01 to 2016-12-31 · Person-level records

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: 2016-01-01 through 2016-12-31
  • Report generated: June 1, 2026

Data Coverage

  • Reporting period: 2016-01-01 through 2016-12-31 (366 days)
  • Geographic scope: Chicago, IL
  • Total crash records analyzed: 44,297
  • Total persons involved: 96,022
  • Total vehicles involved: 89,146

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/2016-annual-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

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Chicago, IL Crash Report — 2016 | ThatCarHitMe.com