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ThatCarHitMe.com
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YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · JULY 2016
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/connecticut/statewide/july-2016-report
Monthly Traffic Safety Analysis
9,583 CRASHES IN
CONNECTICUT, CT
JULY 2016
In July 2016, there were 9,583 total crashes, a 3.1% increase from the 9,296 crashes recorded in July 2015. The most significant year-over-year change was a sharp rise in traffic fatalities, which increased from 22 to 29, and a corresponding 55.6% increase in fatal crashes, from 18 to 28.
9,583
▲ 3.1%was 9,296
Total Crash Events
29
▲ 31.8%was 22
Persons Killed
3,371
▲ 4.0%was 3,241
Persons Injured
1,158
▲ 4.4%was 1,109
Hit-and-Run Crashes
Note: "Persons Killed" (29) counts individual fatalities across all crash events. "Fatal" in the severity table below (28) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic collisions trended upward in July 2016 compared to the same month in the prior year. Total crashes increased by 3.1% (from 9,296 to 9,583), while total injuries rose by 4.0% (from 3,241 to 3,371). Most notably, fatalities increased by 31.8%, from 22 in July 2015 to 29 in July 2016.
1,158
Hit-and-Run Crashes — July 2016
▲ 4.4% vs prior (1,109)
Hit-and-run incidents increased in both absolute numbers and as a percentage of total crashes. In July 2016, there were 1,158 hit-and-run crashes, up from 1,109 in July 2015. This represents a slight upward trend in the hit-and-run rate, which edged up from 11.9% to 12.1% of all collisions.
Vulnerable Road User Casualties
3
Pedestrians Killed
0
Cyclists Killed
25
Motorists Killed
1
Other Killed
119
Pedestrians Injured
65
Cyclists Injured
3,185
Motorists Injured
2
Other Injured
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained broadly similar year-over-year, with Friday being the peak day for collisions in both July 2016 (1,809 crashes) and July 2015 (1,786 crashes). The peak hour shifted slightly from 5 p.m. in the prior period to 4 p.m. in the current period, with both times falling within the evening commute. A notable change occurred on weekends, with Saturday crashes increasing from 956 to 1,400 and Sunday crashes rising from 980 to 1,146.
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Compared to the prior year, the severity of crashes increased in July 2016. The number of fatal crashes rose from 18 to 28, increasing their share of total crashes from 0.2% to 0.3%. While the proportion of serious injury crashes decreased slightly from 1.5% to 1.3%, minor injury crashes saw an increase, growing from 9.8% to 10.8% of all collisions. The percentage of crashes resulting in no injury was unchanged at 74.6%.
Severity is per crash event (most severe injury). 28 fatal crash events resulted in 29 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · Most severe injury per crash record
Road & Environmental Conditions
The proportion of crashes occurring in adverse weather and road conditions increased in July 2016 compared to the previous year. Crashes in the rain rose from 5.0% to 7.2% of the total, and collisions on wet road surfaces increased from 7.1% to 9.9%. While the majority of crashes in both periods happened in daylight (78.8% in 2016 vs. 80.8% in 2015), there was a slight proportional increase in crashes occurring in dark but lighted conditions.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles most frequently involved in crashes remained consistent year-over-year, with Honda, Toyota, and Ford being the top three in both periods. When analyzing the age distribution of all persons involved in crashes, the 26-34 age group saw its representation increase from 15.6% in July 2015 to 17.0% in July 2016. Conversely, the proportion of persons in the 21-25 age group decreased slightly from 12.0% to 11.4%.
Top Vehicle Makes (18,205 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · Vehicle unit records
1,549 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (22,705 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · Person-level records linked to crash events
Speed Limit Zones
Crash distribution across speed zones shifted slightly towards lower-speed roads in July 2016. The number of crashes in zones posted at 35 mph or less increased from 4,472 to 4,836, while crashes in zones of 55 mph or higher decreased from 1,396 to 1,301. The fatal crash rate saw a notable increase in several lower speed zones; for example, in 25 mph zones, the rate rose from 0.076% to 0.202%, and in 45 mph zones, it increased from 0.262% to 1.527%.
Fatal crashes by zone: 25 mph: 6 of 2,973 (0.202%) · 30 mph: 3 of 802 (0.374%) · 35 mph: 2 of 1,061 (0.189%) · 40 mph: 2 of 582 (0.344%) · 45 mph: 6 of 393 (1.527%) · 50 mph: 3 of 251 (1.195%) · 55 mph: 3 of 857 (0.35%) · 65 mph: 3 of 444 (0.676%)
Source: Connecticut Crash Data · Csv Open Data · 2016-07-01 to 2016-07-31 · Posted speed limit at crash location
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Connecticut Crash Data, accessed programmatically via the Csv 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: Csv 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: 2016-07-01 through 2016-07-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2016-07-01 through 2016-07-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 9,583
- Total persons involved: 24,165
- Total vehicles involved: 18,205
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). "connecticut, CT Crash Intelligence Report: July 2016." Published August 20, 2026. Reporting period: 2016-07-01 to 2016-07-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/july-2016-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: Connecticut Crash Data · Csv
Period: 2016-07-01 – 2016-07-31
Generated: August 20, 2026 · All rights reserved
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