Monthly Traffic Safety Analysis

7,681 CRASHES IN
CHICAGO, IL
JUNE 2020

All metrics benchmarked againstJune 2019

Total crashes in Chicago decreased by 28.25%, from 10,706 in June 2019 to 7,681 in June 2020. Despite this overall reduction, total fatalities increased by 36.36%, rising from 11 in June 2019 to 15 in June 2020. This indicates a significant increase in the severity of crashes during the current period.

7,681

-28.3%was 10,706

Total Crash Events

15

36.4%was 11

Persons Killed

1,830

-13.8%was 2,123

Persons Injured

2,698

-7.4%was 2,913

Hit-and-Run Crashes

Note: "Persons Killed" (15) counts individual fatalities across all crash events. "Fatal" in the severity table below (13) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 30 crashes with unreported severity are not shown in the severity breakdown.

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, traffic crashes in Chicago experienced a substantial decrease year-over-year, falling by 3,025 crashes, which represents a 28.25% reduction from June 2019 to June 2020. This trend indicates a significant decline in the total number of reported crash incidents.

2,698

Hit-and-Run Crashes — June 2020

-7.4% vs prior (2,913)

The number of hit-and-run crashes decreased from 2,913 in June 2019 to 2,698 in June 2020. However, the hit-and-run rate, calculated as a percentage of total crashes, significantly increased from 27.2% to 35.1% year-over-year. This indicates that a higher proportion of the reduced number of crashes in June 2020 involved a hit-and-run incident.

Vulnerable Road User Casualties

3

Pedestrians Killed

Prior: 5-40.0%

1

Cyclists Killed

Prior: 0%

11

Motorists Killed

Prior: 683.3%

0

Other Killed

Prior: 00.0%

149

Pedestrians Injured

Prior: 264-43.6%

118

Cyclists Injured

Prior: 160-26.3%

1,561

Motorists Injured

Prior: 1,699-8.1%

2

Other Injured

Prior: 0%

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted year-over-year. In June 2019, Saturday was the peak day for crashes with 1,826 incidents, but in June 2020, Monday became the peak day with 1,255 crashes. Similarly, the peak crash hour moved from 4 p.m. with 849 crashes in June 2019 to 5 p.m. with 609 crashes in June 2020.

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · Crash date field aggregated by weekday

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Despite a decrease in total crashes, the fatal crash rate increased from 0.08% in June 2019 to 0.17% in June 2020. The number of fatal crashes also rose from 9 to 13 year-over-year. While total injuries decreased from 2,123 to 1,830, the proportion of serious injury crashes (severity 'A') increased from 1.7% to 2.3% of all crashes.

Severity is per crash event (most severe injury). 13 fatal crash events resulted in 15 persons killed.

Outcome by Severity (Crash Events)

Fatal13fatal crashes0.2%
44.4%prior 9
Serious Injury179serious injury crashes2.3%
-4.3%prior 187
Minor Injury758minor injury crashes9.9%
-14.7%prior 889
Possible Injury329possible injury crashes4.3%
-23.8%prior 432
No Injury6,372no injury crashes83%
-30.4%prior 9,157

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · KABCO injury classification scale

Severity Distribution

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · Most severe injury per crash record

Top Contributing Factors

All top contributing factors saw a decrease in count year-over-year, consistent with the overall crash reduction. 'FAILING TO YIELD RIGHT-OF-WAY' decreased by 360 crashes (from 1,151 to 791), and 'FOLLOWING TOO CLOSELY' decreased by 425 crashes (from 1,107 to 682). 'IMPROPER OVERTAKING/PASSING' also saw a reduction of 193 crashes, moving from 544 to 351 incidents.

Officer-Reported Primary Contributing Cause

FAILING TO YIELD RIGHT-OF-WAY791 (10.3%)-31.3%prior 1,151
FOLLOWING TOO CLOSELY682 (8.9%)-38.4%prior 1,107
FAILING TO REDUCE SPEED TO AVOID CRASH412 (5.4%)-14.7%prior 483
IMPROPER OVERTAKING/PASSING351 (4.6%)-35.5%prior 544
IMPROPER BACKING301 (3.9%)-39.7%prior 499
IMPROPER TURNING/NO SIGNAL274 (3.6%)-27.9%prior 380
IMPROPER LANE USAGE264 (3.4%)-37.7%prior 424
DISREGARDING TRAFFIC SIGNALS229 (3%)20.5%prior 190
DRIVING SKILLS/KNOWLEDGE/EXPERIENCE219 (2.9%)-36.7%prior 346
OPERATING VEHICLE IN ERRATIC, RECKLESS, CARELESS, NEGLIGENT OR AGGRESSIVE MANNER120 (1.6%)-13.7%prior 139

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

While the absolute number of crashes under all conditions decreased, the proportion of crashes occurring in 'CLEAR' weather increased from 81.45% in June 2019 to 87.55% in June 2020. Correspondingly, the share of crashes in 'RAIN' decreased from 9.85% to 6.6%. The proportion of crashes on 'DRY' road surfaces increased from 79.94% to 84.92%, suggesting a higher percentage of crashes occurred under ideal conditions in the current period.

Weather

CLEAR6,725 (91.4%)
-22.9%prior 8,720
RAIN507 (6.9%)
-51.9%prior 1,055
CLOUDY/OVERCAST107 (1.5%)
-72.5%prior 389
OTHER13 (0.2%)
-50.0%prior 26
FREEZING RAIN/DRIZZLE1 (0.0%)
-87.5%prior 8
FOG/SMOKE/HAZE1 (0.0%)
-97.5%prior 40
SEVERE CROSS WIND GATE1 (0.0%)
0.0%prior 1

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · Weather condition at time of crash

Lighting

DAYLIGHT5,485 (73.8%)
-29.9%prior 7,827
DARKNESS, LIGHTED ROAD1,350 (18.2%)
-21.3%prior 1,716
DARKNESS263 (3.5%)
-16.8%prior 316
DUSK226 (3.0%)
-18.4%prior 277
DAWN112 (1.5%)
-41.1%prior 190

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · Lighting condition field

Road Surface

DRY6,523 (90.6%)
-23.8%prior 8,558
WET657 (9.1%)
-52.7%prior 1,390
OTHER15 (0.2%)
36.4%prior 11
SAND, MUD, DIRT1 (0.0%)
-66.7%prior 3

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 21,836 in June 2019 to 15,828 in June 2020. The number of pedestrian-involved vehicles decreased from 301 to 176, and bicycle-involved vehicles decreased from 226 to 169. Chevrolet remained the top vehicle make involved in crashes, though its count decreased from 2,416 to 1,983, while Toyota (including 'TOYOTA MOTOR COMPANY, LTD.') dropped from second to third place in the top makes.

Top Vehicle Makes (15,828 vehicles)

1
CHEVROLET1,983 (12.5%)
-17.9%prior 2,416
2
FORD1,567 (9.9%)
-24.9%prior 2,086
3
TOYOTA1,375 (8.7%)
4
NISSAN1,297 (8.2%)
-26.0%prior 1,752
5
HONDA1,021 (6.5%)
-35.8%prior 1,590
6
JEEP734 (4.6%)
-12.2%prior 836
7
DODGE725 (4.6%)
-23.6%prior 949
8
HYUNDAI644 (4.1%)
-33.1%prior 962
9
KIA412 (2.6%)
10
CHRYSLER333 (2.1%)
-21.8%prior 426

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · Vehicle unit records

5,148 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 (16,494 persons with recorded sex)

Male8,730 (52.9%)
-30.8%prior 12,621
Female6,075 (36.8%)
-34.3%prior 9,251
Non-Binary1,689 (10.2%)
-7.0%prior 1,817

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes at the 30 mph speed limit zone decreased in count from 7,830 to 5,612, though its proportion of total crashes remained stable at approximately 73%. However, the fatal crash rate at 30 mph significantly increased from 0.064% in June 2019 to 0.214% in June 2020, with fatalities rising from 5 to 12 in this zone. Crashes at 25 mph also decreased from 721 to 479.

Fatal crashes by zone: 30 mph: 12 of 5,612 (0.214%) · 35 mph: 1 of 619 (0.162%)

Source: Chicago Traffic Crashes · Socrata Open Data · 2020-06-01 to 2020-06-30 · 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: 2020-06-01 through 2020-06-30
  • Report generated: June 1, 2026

Data Coverage

  • Reporting period: 2020-06-01 through 2020-06-30 (30 days)
  • Geographic scope: Chicago, IL
  • Total crash records analyzed: 7,681
  • Total persons involved: 16,775
  • Total vehicles involved: 15,828

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-2020-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 — June 2020 vs June 2019 | ThatCarHitMe.com