Monthly Traffic Safety Analysis

9,263 CRASHES IN
CHICAGO, IL
JULY 2022

All metrics benchmarked againstJuly 2021

In July 2022, Chicago experienced 9263 total crashes, a decrease of 7.51% from the 10015 crashes recorded in July 2021. Despite this overall reduction, total fatalities increased by 35.71%, rising from 14 in the prior period to 19 in the current period. Total injuries also decreased by 6.66%, from 2342 to 2186.

9,263

-7.5%was 10,015

Total Crash Events

19

35.7%was 14

Persons Killed

2,186

-6.7%was 2,342

Persons Injured

3,070

-10.7%was 3,439

Hit-and-Run Crashes

Note: "Persons Killed" (19) counts individual fatalities across all crash events. "Fatal" in the severity table below (18) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 27 crashes with unreported severity are not shown in the severity breakdown.

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in Chicago decreased by 7.51% year-over-year, from 10015 in July 2021 to 9263 in July 2022. However, this period saw a notable increase in fatalities, with 19 deaths in July 2022 compared to 14 in July 2021, representing a 35.71% rise. Total injuries also declined, decreasing by 6.66% from 2342 to 2186.

3,070

Hit-and-Run Crashes — July 2022

-10.7% vs prior (3,439)

Hit-and-run crashes decreased by 369 incidents, from 3439 in July 2021 to 3070 in July 2022. Correspondingly, the hit-and-run rate also saw a decrease, moving from 34.3% of all crashes in the prior period to 33.1% in the current period.

Vulnerable Road User Casualties

3

Pedestrians Killed

Prior: 30.0%

0

Cyclists Killed

Prior: 2-100.0%

16

Motorists Killed

Prior: 977.8%

0

Other Killed

Prior: 00.0%

186

Pedestrians Injured

Prior: 1812.8%

175

Cyclists Injured

Prior: 176-0.6%

1,820

Motorists Injured

Prior: 1,982-8.2%

5

Other Injured

Prior: 366.7%

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · 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 decreased from 1761 in July 2021 to 1658 in July 2022. The peak crash hour shifted from 3 p.m. (759 crashes) in July 2021 to 4 p.m. (674 crashes) in July 2022. Sunday crashes increased from 1287 to 1435, while Thursday crashes saw a significant reduction from 1569 to 1179.

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · Crash date field aggregated by weekday

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased from 14 in July 2021 to 18 in July 2022, resulting in an increase in the fatal crash rate from 0.14% to 0.19%. Serious injury crashes decreased from 249 to 207, with their proportion declining from 2.5% to 2.2%. Minor injury crashes also saw a reduction from 985 to 893, while their proportion slightly decreased from 9.8% to 9.6%.

Severity is per crash event (most severe injury). 18 fatal crash events resulted in 19 persons killed.

Outcome by Severity (Crash Events)

Fatal18fatal crashes0.2%
28.6%prior 14
Serious Injury207serious injury crashes2.2%
-16.9%prior 249
Minor Injury893minor injury crashes9.6%
-9.3%prior 985
Possible Injury401possible injury crashes4.3%
-5.9%prior 426
No Injury7,717no injury crashes83.3%
-7.2%prior 8,313

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · KABCO injury classification scale

Severity Distribution

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor, 'Failing to Yield Right-of-Way,' decreased by 71 crashes, from 1021 to 950, though its share slightly increased from 10.2% to 10.3%. 'Following Too Closely' also saw a reduction of 103 crashes, from 901 to 798, and its share decreased from 9% to 8.6%. Notably, 'Operating Vehicle in Erratic, Reckless, Careless, Negligent or Aggressive Manner' decreased by 59 crashes, from 157 to 98.

Officer-Reported Primary Contributing Cause

FAILING TO YIELD RIGHT-OF-WAY950 (10.3%)-7.0%prior 1,021
FOLLOWING TOO CLOSELY798 (8.6%)-11.4%prior 901
IMPROPER OVERTAKING/PASSING515 (5.6%)1.4%prior 508
FAILING TO REDUCE SPEED TO AVOID CRASH398 (4.3%)-17.6%prior 483
DRIVING SKILLS/KNOWLEDGE/EXPERIENCE333 (3.6%)-9.3%prior 367
IMPROPER LANE USAGE312 (3.4%)0.0%prior 312
IMPROPER BACKING311 (3.4%)-16.4%prior 372
IMPROPER TURNING/NO SIGNAL310 (3.3%)-10.1%prior 345
DISREGARDING TRAFFIC SIGNALS209 (2.3%)-14.3%prior 244
OPERATING VEHICLE IN ERRATIC, RECKLESS, CARELESS, NEGLIGENT OR AGGRESSIVE MANNER98 (1.1%)-37.6%prior 157

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'CLEAR' weather conditions decreased from 8763 in July 2021 to 7883 in July 2022, mirroring the overall reduction in total crashes. Similarly, crashes on 'DRY' road surfaces decreased from 8601 to 7585. Crashes occurring in 'DARKNESS' conditions increased slightly from 288 to 298, despite the overall decline in crash counts.

Weather

CLEAR7,883 (91.5%)
-10.0%prior 8,763
RAIN488 (5.7%)
-6.0%prior 519
CLOUDY/OVERCAST222 (2.6%)
-9.0%prior 244
OTHER15 (0.2%)
-28.6%prior 21
FOG/SMOKE/HAZE4 (0.0%)
33.3%prior 3
FREEZING RAIN/DRIZZLE4 (0.0%)
-66.7%prior 12
SNOW1 (0.0%)
0.0%prior 1

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · Weather condition at time of crash

Lighting

DAYLIGHT6,501 (74.4%)
-6.9%prior 6,981
DARKNESS, LIGHTED ROAD1,624 (18.6%)
-16.4%prior 1,942
DARKNESS298 (3.4%)
3.5%prior 288
DUSK184 (2.1%)
-27.3%prior 253
DAWN132 (1.5%)
-14.3%prior 154

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · Lighting condition field

Road Surface

DRY7,585 (92.1%)
-11.8%prior 8,601
WET635 (7.7%)
-4.7%prior 666
OTHER15 (0.2%)
-11.8%prior 17
SAND, MUD, DIRT2 (0.0%)
0.0%prior 2

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 20545 in July 2021 to 18895 in July 2022. Chevrolet remained the most common vehicle make involved, though its count decreased from 2333 to 2068. Toyota increased its count from 1935 to 2003, while Ford decreased from 1868 to 1739.

Top Vehicle Makes (18,895 vehicles)

1
CHEVROLET2,068 (10.9%)
-11.4%prior 2,333
2
TOYOTA2,003 (10.6%)
3.5%prior 1,935
3
FORD1,739 (9.2%)
-6.9%prior 1,868
4
NISSAN1,502 (7.9%)
-9.9%prior 1,667
5
HONDA1,462 (7.7%)
-2.7%prior 1,503
6
JEEP812 (4.3%)
-8.4%prior 886
7
HYUNDAI779 (4.1%)
-13.3%prior 898
8
DODGE721 (3.8%)
-20.9%prior 912
9
KIA563 (3%)
-6.3%prior 601
10
VOLKSWAGEN353 (1.9%)
-12.0%prior 401

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · Vehicle unit records

6,152 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 (19,685 persons with recorded sex)

Male10,302 (52.3%)
-7.0%prior 11,082
Female7,339 (37.3%)
-10.8%prior 8,223
Non-Binary2,044 (10.4%)
-6.7%prior 2,190

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones decreased from 7262 to 6818, but fatalities in these zones increased from 12 to 15, causing the fatal crash rate to rise from 0.165% to 0.22%. Crashes in 35 mph zones decreased from 677 to 552, with fatalities increasing from 0 to 1. The 45 mph zone experienced a decrease in crashes from 91 to 68, but its fatal crash rate increased from 1.099% to 1.471%.

Fatal crashes by zone: 30 mph: 15 of 6,818 (0.22%) · 35 mph: 1 of 552 (0.181%) · 40 mph: 1 of 117 (0.855%) · 45 mph: 1 of 68 (1.471%)

Source: Chicago Traffic Crashes · Socrata Open Data · 2022-07-01 to 2022-07-31 · 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: 2022-07-01 through 2022-07-31
  • Report generated: June 1, 2026

Data Coverage

  • Reporting period: 2022-07-01 through 2022-07-31 (31 days)
  • Geographic scope: Chicago, IL
  • Total crash records analyzed: 9,263
  • Total persons involved: 20,064
  • Total vehicles involved: 18,895

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/july-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

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Chicago, IL Year-over-Year Crash Report — July 2022 vs July 2021 | ThatCarHitMe.com