Monthly Traffic Safety Analysis

9,113 CRASHES IN
CHICAGO, IL
DECEMBER 2023

All metrics benchmarked againstDecember 2022

In December 2023, Chicago experienced 9,113 total crashes, an increase of 1.95% compared to the 8,939 crashes in December 2022. The most notable shift was a significant decrease in total fatalities, which dropped by 27.78% year-over-year.

9,113

1.9%was 8,939

Total Crash Events

13

-27.8%was 18

Persons Killed

1,951

14.4%was 1,706

Persons Injured

2,861

-4.5%was 2,995

Hit-and-Run Crashes

Note: "Persons Killed" (13) counts individual fatalities across all crash events. "Fatal" in the severity table below (12) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 18 crashes with unreported severity are not shown in the severity breakdown.

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Chicago saw a slight increase of 1.95% year-over-year, rising from 8,939 crashes in December 2022 to 9,113 crashes in December 2023. Despite this, total fatalities decreased significantly by 27.78%, from 18 to 13, while total injuries increased by 14.36%, from 1,706 to 1,951.

2,861

Hit-and-Run Crashes — December 2023

-4.5% vs prior (2,995)

Hit-and-run crashes decreased by 4.47% year-over-year, from 2,995 incidents in December 2022 to 2,861 in December 2023. The hit-and-run rate also saw a decrease of 2.1 percentage points, moving from 33.5% in the prior period to 31.4% in the current period, indicating a downward trend.

Vulnerable Road User Casualties

4

Pedestrians Killed

Prior: 6-33.3%

0

Cyclists Killed

Prior: 1-100.0%

9

Motorists Killed

Prior: 11-18.2%

0

Other Killed

Prior: 00.0%

258

Pedestrians Injured

Prior: 23410.3%

69

Cyclists Injured

Prior: 3881.6%

1,623

Motorists Injured

Prior: 1,43213.3%

1

Other Injured

Prior: 2-50.0%

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · 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, with 1,870 crashes in December 2023 and 1,627 in December 2022. The peak hour also remained consistent at 5 PM, recording 771 crashes in the current period compared to 700 in the prior. Notably, crashes on Sundays increased by 29.28%, from 1,011 to 1,307, while crashes on Thursdays decreased by 20.44%, from 1,492 to 1,187.

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased by 29.41% year-over-year, from 17 in December 2022 to 12 in December 2023, with the fatal crash rate dropping from 0.19% to 0.13%. While serious injury crashes (severity A) decreased by 17 incidents, minor injury crashes (severity B) increased by 63, and possible injury crashes (severity C) rose by 80 incidents.

Severity is per crash event (most severe injury). 12 fatal crash events resulted in 13 persons killed.

Outcome by Severity (Crash Events)

Fatal12fatal crashes0.1%
-29.4%prior 17
Serious Injury124serious injury crashes1.4%
-12.1%prior 141
Minor Injury781minor injury crashes8.6%
8.8%prior 718
Possible Injury472possible injury crashes5.2%
20.4%prior 392
No Injury7,706no injury crashes84.6%
0.8%prior 7,647

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'FAILING TO YIELD RIGHT-OF-WAY' remained the most frequent, increasing by 94 incidents (9.39%) to 1,095. There was a significant 48.12% decrease in crashes attributed to 'WEATHER' (from 266 to 138 incidents), while crashes involving 'UNDER THE INFLUENCE OF ALCOHOL/DRUGS' increased notably by 53.33% (from 30 to 46 incidents). 'FOLLOWING TOO CLOSELY' saw a decrease of 55 incidents (-7.25%), dropping from 759 to 704.

Officer-Reported Primary Contributing Cause

FAILING TO YIELD RIGHT-OF-WAY1,095 (12%)9.4%prior 1,001
FOLLOWING TOO CLOSELY704 (7.7%)-7.2%prior 759
IMPROPER OVERTAKING/PASSING486 (5.3%)7.3%prior 453
FAILING TO REDUCE SPEED TO AVOID CRASH400 (4.4%)14.6%prior 349
DRIVING SKILLS/KNOWLEDGE/EXPERIENCE350 (3.8%)8.4%prior 323
IMPROPER TURNING/NO SIGNAL314 (3.4%)12.9%prior 278
IMPROPER BACKING280 (3.1%)17.6%prior 238
IMPROPER LANE USAGE264 (2.9%)-14.8%prior 310
DISREGARDING TRAFFIC SIGNALS201 (2.2%)6.3%prior 189
WEATHER138 (1.5%)-48.1%prior 266

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Weather conditions saw a substantial shift, with crashes during 'RAIN' increasing by 139% (from 836 to 1,998 incidents), while crashes during 'SNOW' decreased by 84.75% (from 892 to 136 incidents). Correspondingly, crashes on 'WET' road surfaces increased by 36.43% (from 1,908 to 2,603 incidents), and those on 'SNOW OR SLUSH' surfaces decreased by 94.2% (from 965 to 56 incidents). Crashes in 'DARKNESS' conditions increased by 103 incidents, from 612 to 715.

Weather

CLEAR5,641 (67.6%)
-1.2%prior 5,707
RAIN1,998 (24.0%)
139.0%prior 836
CLOUDY/OVERCAST376 (4.5%)
-12.8%prior 431
SNOW136 (1.6%)
-84.8%prior 892
FOG/SMOKE/HAZE111 (1.3%)
516.7%prior 18
OTHER39 (0.5%)
-43.5%prior 69
FREEZING RAIN/DRIZZLE33 (0.4%)
-52.2%prior 69
SLEET/HAIL4 (0.0%)
-84.0%prior 25
BLOWING SNOW1 (0.0%)
-98.3%prior 58

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · Weather condition at time of crash

Lighting

DAYLIGHT4,229 (49.5%)
0.3%prior 4,216
DARKNESS, LIGHTED ROAD3,083 (36.1%)
3.4%prior 2,983
DARKNESS715 (8.4%)
16.8%prior 612
DUSK329 (3.8%)
5.4%prior 312
DAWN191 (2.2%)
5.5%prior 181

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · Lighting condition field

Road Surface

DRY5,222 (66.0%)
9.3%prior 4,779
WET2,603 (32.9%)
36.4%prior 1,908
SNOW OR SLUSH56 (0.7%)
-94.2%prior 965
OTHER22 (0.3%)
-50.0%prior 44
ICE11 (0.1%)
-86.4%prior 81

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased by 2.07% year-over-year, from 18,170 to 18,546. Notably, bicycle involvement in crashes saw a significant increase of 68.25%, rising from 63 to 106 incidents. Toyota remained the most frequently involved vehicle make, increasing its count by 104, while Honda moved from the fifth to the fourth most common make, surpassing Nissan. The age group 16-20 saw a 23.22% increase in persons involved in crashes, and the 65+ age group increased by 16.63%.

Top Vehicle Makes (18,546 vehicles)

1
TOYOTA2,187 (11.8%)
5.0%prior 2,083
2
CHEVROLET1,998 (10.8%)
3.4%prior 1,933
3
FORD1,748 (9.4%)
2.5%prior 1,705
4
HONDA1,413 (7.6%)
3.4%prior 1,366
5
NISSAN1,374 (7.4%)
-1.5%prior 1,395
6
JEEP870 (4.7%)
-1.6%prior 884
7
HYUNDAI766 (4.1%)
3.2%prior 742
8
DODGE684 (3.7%)
-2.0%prior 698
9
KIA576 (3.1%)
-1.2%prior 583
10
VOLKSWAGEN363 (2%)
3.7%prior 350

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · Vehicle unit records

6,029 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 (19,775 persons with recorded sex)

Male10,422 (52.7%)
6.9%prior 9,749
Female7,371 (37.3%)
6.5%prior 6,918
Non-Binary1,982 (10.0%)
-8.2%prior 2,158

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes within a 30 mph speed limit zone increased by 282 incidents (4.34%), from 6,497 to 6,779, though fatalities in this zone decreased from 12 to 8. Conversely, crashes in 20 mph zones decreased by 90 incidents, from 415 to 325, and fatalities in this zone decreased from 1 to 0. Crashes in 45 mph zones increased from 61 to 71, resulting in one fatality in the current period compared to none in the prior.

Fatal crashes by zone: 25 mph: 1 of 666 (0.15%) · 30 mph: 8 of 6,779 (0.118%) · 35 mph: 2 of 597 (0.335%) · 45 mph: 1 of 71 (1.408%)

Source: Chicago Traffic Crashes · Socrata Open Data · 2023-12-01 to 2023-12-31 · 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: 2023-12-01 through 2023-12-31
  • Report generated: June 1, 2026

Data Coverage

  • Reporting period: 2023-12-01 through 2023-12-31 (31 days)
  • Geographic scope: Chicago, IL
  • Total crash records analyzed: 9,113
  • Total persons involved: 20,152
  • Total vehicles involved: 18,546

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/december-2023-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 — December 2023 vs December 2022 | ThatCarHitMe.com