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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · MARCH 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/march-2016-report
Monthly Traffic Safety Analysis
8,627 CRASHES IN
CONNECTICUT, CT
MARCH 2016
In March 2016, there were 8,627 total crashes, a 9.7% decrease from the 9,553 crashes recorded in March 2015. Despite the overall reduction in collisions, the number of fatalities rose significantly, increasing 53.3% from 15 in the prior year to 23 in the current period.
8,627
▼ -9.7%was 9,553
Total Crash Events
23
▲ 53.3%was 15
Persons Killed
2,831
▲ 14.0%was 2,483
Persons Injured
1,027
▲ 4.3%was 985
Hit-and-Run Crashes
Note: "Persons Killed" (23) counts individual fatalities across all crash events. "Fatal" in the severity table below (21) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic collisions decreased by 9.7% from March 2015 to March 2016. However, the severity of these crashes increased, with total injuries rising by 14.0% (from 2,483 to 2,831) and total fatalities increasing by 53.3% (from 15 to 23) year-over-year.
1,027
Hit-and-Run Crashes — March 2016
▲ 4.3% vs prior (985)
Hit-and-run incidents showed an upward trend. The total number of hit-and-run crashes increased from 985 in March 2015 to 1,027 in March 2016. As a percentage of all crashes, the hit-and-run rate also rose from 10.3% to 11.9% year-over-year.
Vulnerable Road User Casualties
4
Pedestrians Killed
0
Cyclists Killed
19
Motorists Killed
97
Pedestrians Injured
22
Cyclists Injured
2,712
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak hour for crashes remained consistent at 4 p.m. in both March 2015 and March 2016, though the volume in that hour decreased from 818 to 767. The peak day for crashes shifted from Friday (1,742 crashes) in the prior year to Thursday (1,518 crashes) in the current year.
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes increased year-over-year. The fatal crash rate rose from 0.15 to 0.24 per 100 crashes. The proportion of crashes resulting in serious injuries nearly doubled, from 0.6% to 1.3% of all collisions, and crashes involving any injury (fatal, serious, minor, or possible) grew from 18.9% to 23.8% of the total.
Severity is per crash event (most severe injury). 21 fatal crash events resulted in 23 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · Most severe injury per crash record
Road & Environmental Conditions
There was a significant shift in crash conditions between the two periods, largely driven by weather. In March 2016, 84.4% of crashes occurred in clear weather and 84.8% on dry roads. This contrasts sharply with March 2015, when only 61.4% of crashes were in clear weather and 54.0% were on dry roads, with snow conditions accounting for 20.3% of weather-related crashes and 17.8% of road surface-related crashes. The distribution of crashes by lighting condition remained relatively stable year-over-year.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · Road surface condition field
Vehicles & Demographics
The top five vehicle makes involved in crashes remained the same across both periods: Honda, Ford, Toyota, Nissan, and Chevrolet, with only minor changes in their rank order. The counts for each of these top makes decreased, in line with the overall drop in total crashes. The age distribution of persons involved in crashes also remained largely consistent, with no significant shifts in representation among different age groups.
Top Vehicle Makes (16,406 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · Vehicle unit records
1,319 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (20,559 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across different speed zones was highly consistent year-over-year. For instance, crashes in zones posted at 25 mph or less were nearly unchanged, with 2,913 incidents in the current period compared to 2,940 in the prior. While overall crashes decreased, the number of fatal crashes increased in the 40 mph zone (from 3 to 4) and the 65 mph zone (from 1 to 2).
Fatal crashes by zone: 1 mph: 1 of 959 (0.104%) · 15 mph: 1 of 43 (2.326%) · 20 mph: 1 of 39 (2.564%) · 25 mph: 5 of 2,786 (0.179%) · 30 mph: 1 of 739 (0.135%) · 35 mph: 2 of 1,003 (0.199%) · 40 mph: 4 of 516 (0.775%) · 45 mph: 1 of 327 (0.306%) · 55 mph: 1 of 707 (0.141%) · 65 mph: 2 of 387 (0.517%) · 88 mph: 2 of 500 (0.4%)
Source: Connecticut Crash Data · Csv Open Data · 2016-03-01 to 2016-03-31 · 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: 2016-03-01 through 2016-03-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2016-03-01 through 2016-03-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 8,627
- Total persons involved: 21,809
- Total vehicles involved: 16,406
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: March 2016." Published August 20, 2026. Reporting period: 2016-03-01 to 2016-03-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/march-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: 2016-03-01 – 2016-03-31
Generated: August 20, 2026 · All rights reserved
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