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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · 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/2016-annual-report
Yearly Traffic Safety Analysis
2,813 CRASHES IN
CONNECTICUT, CT
2016
In 2016, Tolland County recorded 2,813 traffic crashes, a 3.8% increase from the 2,710 crashes reported in 2015. While total fatalities decreased from 17 to 14, the number of total injuries rose by 21.0% from 826 to 999. The most significant year-over-year change was a 150% increase in crashes resulting in serious injuries, which grew from 16 in 2015 to 40 in 2016.
2,813
▲ 3.8%was 2,710
Total Crash Events
14
▼ -17.6%was 17
Persons Killed
999
▲ 20.9%was 826
Persons Injured
231
▲ 0.4%was 230
Hit-and-Run Crashes
Note: "Persons Killed" (14) counts individual fatalities across all crash events. "Fatal" in the severity table below (14) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crashes in Tolland County showed a slight upward trend, increasing by 3.8% from 2,710 in 2015 to 2,813 in 2016. While fatalities decreased by 17.6% year-over-year, the number of people injured increased significantly by 21.0%, rising from 826 to 999.
231
Hit-and-Run Crashes — 2016
▲ 0.4% vs prior (230)
The number of hit-and-run incidents in Tolland County remained stable, with 231 incidents in 2016 compared to 230 in 2015. As a percentage of total crashes, the hit-and-run rate saw a marginal decrease, falling from 8.5% in 2015 to 8.2% in 2016, indicating a relatively stable trend.
Vulnerable Road User Casualties
3
Pedestrians Killed
0
Cyclists Killed
11
Motorists Killed
26
Pedestrians Injured
12
Cyclists Injured
961
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · 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 consistent year-over-year. Friday was the peak day for crashes in both 2016 (537 crashes) and 2015 (462 crashes). The 3 PM hour was also the peak hour in both periods, with 256 crashes in 2016 and 225 in 2015. Crash volumes on the peak day, Friday, increased by 16.2% from the prior year.
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The proportion of crashes resulting in any injury increased from 22.6% in 2015 to 25.4% in 2016. This change was driven by a significant rise in the share of serious injury crashes, which more than doubled from 0.6% to 1.4% of all incidents. The rate of fatal crashes saw a slight decrease, falling from 0.55% of all crashes in 2015 to 0.50% in 2016.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes in both periods occurred during daylight and in clear weather. The proportion of crashes happening in daylight remained steady at approximately 68% for both 2015 and 2016. There was a slight increase in the share of crashes occurring in rainy conditions, from 7.7% in 2015 to 9.5% in 2016. Conversely, the proportion of crashes on snowy road surfaces decreased from 9.3% to 7.5%.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained largely consistent between 2015 and 2016, with Ford being the most common make in both years, increasing its count from 557 to 605. The distribution of persons involved in crashes by age group also showed little change year-over-year. The 26-34 age group represented the largest share of people involved in crashes in both periods, accounting for approximately 15.5% of the total.
Top Vehicle Makes (4,924 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · Vehicle unit records
228 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (6,543 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones shifted slightly towards mid-range speeds. The number of crashes in zones between 35 and 50 mph increased from 1,292 in 2015 to 1,422 in 2016. Conversely, crashes in zones over 50 mph decreased from 321 to 297. While the number of fatal crashes in the 50 mph speed zone decreased from 5 to 3, fatal crashes in the 35 mph zone increased from 2 to 3.
Fatal crashes by zone: 1 mph: 1 of 163 (0.613%) · 20 mph: 1 of 7 (14.286%) · 35 mph: 3 of 639 (0.469%) · 40 mph: 3 of 373 (0.804%) · 45 mph: 1 of 364 (0.275%) · 50 mph: 3 of 46 (6.522%) · 88 mph: 2 of 39 (5.128%)
Source: Connecticut Crash Data · Csv Open Data · 2016-01-01 to 2016-12-31 · 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: 2016-01-01 through 2016-12-31
- Report generated: August 21, 2026
Data Coverage
- Reporting period: 2016-01-01 through 2016-12-31 (366 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 2,813
- Total persons involved: 6,848
- Total vehicles involved: 4,924
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: 2016." Published August 21, 2026. Reporting period: 2016-01-01 to 2016-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/2016-annual-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: 2016-01-01 – 2016-12-31
Generated: August 21, 2026 · All rights reserved
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