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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · AUGUST 2021
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/august-2021-report
Monthly Traffic Safety Analysis
8,802 CRASHES IN
CONNECTICUT, CT
AUGUST 2021
In August 2021, Connecticut recorded 8,802 total traffic crashes, an increase of 14.9% from the 7,663 crashes documented in August 2020. This rise was accompanied by an increase in total fatalities from 28 to 33. The most notable year-over-year shift was a substantial increase in the number of crashes occurring in 55 mph speed zones, which rose from 596 to 1,023.
8,802
▲ 14.9%was 7,663
Total Crash Events
33
▲ 17.9%was 28
Persons Killed
3,145
▲ 6.3%was 2,958
Persons Injured
1,115
▲ 1.5%was 1,099
Hit-and-Run Crashes
Note: "Persons Killed" (33) counts individual fatalities across all crash events. "Fatal" in the severity table below (31) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic safety metrics worsened in August 2021 compared to the same month in the prior year. Total crashes rose by 14.9% from 7,663 to 8,802. Concurrently, the number of people injured increased by 6.3% from 2,958 to 3,145, and total fatalities rose from 28 to 33.
1,115
Hit-and-Run Crashes — August 2021
▲ 1.5% vs prior (1,099)
The total number of hit-and-run crashes remained relatively stable, with a slight increase from 1,099 in August 2020 to 1,115 in August 2021. However, due to the significant overall increase in total crashes, the hit-and-run rate trended downward. Hit-and-runs constituted 12.7% of all crashes in the current period, a decrease from the 14.3% rate observed in the prior year.
Vulnerable Road User Casualties
6
Pedestrians Killed
0
Cyclists Killed
27
Motorists Killed
70
Pedestrians Injured
21
Cyclists Injured
3,054
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes showed a shift between the two periods. In August 2021, the peak day for crashes was Tuesday with 1,411 incidents, a change from August 2020 when Saturday was the peak day with 1,235 incidents. The peak hour remained consistent at 4 p.m. in both periods, though the volume of crashes during that hour increased from 640 to 789 year-over-year.
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the absolute number of fatal crashes increased from 28 to 31 year-over-year, the fatal crash rate per 100 crashes saw a slight decrease from 0.37 to 0.35. The proportion of crashes resulting in injury declined across all categories: serious injuries fell from 1.8% to 1.3% of all crashes, and minor injuries decreased from 11.8% to 11.5%. Consequently, the share of crashes with no reported injuries rose from 72.0% in August 2020 to 74.2% in August 2021.
Severity is per crash event (most severe injury). 31 fatal crash events resulted in 33 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions remained broadly similar year-over-year, with the majority of incidents in both periods occurring in clear weather (86.0% in 2021 vs. 88.6% in 2020) and on dry roads (88.7% vs. 90.2%). However, there was a slight proportional increase in crashes occurring in adverse conditions. Crashes in the rain accounted for 8.0% of the total in August 2021, up from 6.3% in the prior year, while crashes on wet roads increased from 9.0% to 10.4% of the total.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained consistent: Honda, Ford, and Toyota, with Ford and Toyota swapping second and third place between August 2020 and August 2021. The age distribution of persons involved in crashes showed a notable shift, with the 0-15 age group seeing a 32.7% increase in involvement and the 65+ age group seeing a 21.4% increase. The 26-34 age group remained the most frequently involved demographic in both periods.
Top Vehicle Makes (16,629 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · Vehicle unit records
1,406 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (20,091 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · Person-level records linked to crash events
Speed Limit Zones
There was a noticeable shift in crashes toward higher speed zones in August 2021 compared to the previous year. The number of crashes in 55 mph zones increased significantly, from 596 to 1,023, raising its share of zoned crashes from 8.4% to 12.5%. Crashes in 25 mph zones, while remaining the largest category by volume, saw their proportion of total zoned crashes decrease from 34.5% to 30.5%. The number of fatalities in 65 mph zones increased from 4 to 5.
Fatal crashes by zone: 25 mph: 5 of 2,508 (0.199%) · 30 mph: 2 of 699 (0.286%) · 35 mph: 2 of 930 (0.215%) · 40 mph: 4 of 450 (0.889%) · 45 mph: 4 of 357 (1.12%) · 50 mph: 4 of 325 (1.231%) · 55 mph: 4 of 1,023 (0.391%) · 65 mph: 5 of 544 (0.919%) · 88 mph: 1 of 417 (0.24%)
Source: Connecticut Crash Data · Csv Open Data · 2021-08-01 to 2021-08-31 · 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: 2021-08-01 through 2021-08-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2021-08-01 through 2021-08-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 8,802
- Total persons involved: 21,582
- Total vehicles involved: 16,629
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: August 2021." Published August 20, 2026. Reporting period: 2021-08-01 to 2021-08-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/august-2021-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: 2021-08-01 – 2021-08-31
Generated: August 20, 2026 · All rights reserved
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