ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BRIDGEWATER, MA · APRIL 2022
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/massachusetts/bridgewater/april-2022-report
Monthly Traffic Safety Analysis
38 CRASHES IN
BRIDGEWATER, MA
APRIL 2022
In April 2022, Bridgewater recorded 38 crashes, a slight decrease of 2.6% compared to the 39 crashes reported in April 2021. A notable shift is the absence of fatalities in April 2022, down from one fatality in April 2021. However, total injuries significantly increased by 187.5%, rising from 8 in April 2021 to 23 in April 2022.
38
▼ -2.6%was 39
Total Crash Events
0
▼ -100.0%was 1
Persons Killed
23
▲ 187.5%was 8
Persons Injured
1
Hit-and-Run Crashes
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, the number of crashes in Bridgewater remained relatively stable year-over-year, with a slight decrease of 2.6% from 39 crashes in April 2021 to 38 crashes in April 2022. While fatalities decreased from 1 to 0, total injuries saw a substantial increase of 187.5%, rising from 8 to 23 over the same period.
1
Hit-and-Run Crashes — April 2022
▼ 0.0% vs prior (1)
The number of hit-and-run crashes remained stable at 1 in both April 2021 and April 2022. Consequently, the hit-and-run crash rate also remained largely consistent, at 2.6% in April 2022 compared to 2.6% in April 2021.
Vulnerable Road User Casualties
0
Motorists Killed
23
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes shifted from Saturday in April 2021 (7 crashes) to Friday in April 2022 (9 crashes). The peak hour also changed, with April 2021 recording the highest number of crashes at 12 PM (6 crashes), whereas April 2022 saw the highest at 3 PM (4 crashes). Overall, crash distribution across the week and day appears to have shifted, with fewer crashes occurring in the early afternoon and more in the late afternoon and evening hours in the current period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Fatal crashes decreased from 1 in April 2021 (2.6% of crashes) to 0 in April 2022. Conversely, the proportion of injury-involved crashes significantly increased, with 47.4% of crashes in April 2022 resulting in injury (18 crashes), compared to 17.9% in April 2021 (7 crashes). Specifically, serious injuries rose from 0 to 1, minor injuries increased from 5 to 9, and possible injuries increased from 2 to 8 year-over-year.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record
Top Contributing Factors
The top contributing factor shifted from 'Followed too closely' in April 2021 (9 crashes) to 'No improper driving' in April 2022 (8 crashes), a decrease of 5 crashes for 'Followed too closely' and an increase of 2 crashes for 'No improper driving'. 'Failed to yield right of way' increased by 2 crashes, from 4 to 6, while 'Inattention' saw a 150% increase in count, rising from 2 to 5 crashes. Factors related to speeding, such as 'Driving too fast for conditions' and 'Exceeded authorized speed limit', which accounted for 4 crashes in April 2021, were not reported in April 2022.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The proportion of crashes occurring on dry road surfaces increased from 28 in April 2021 to 33 in April 2022, while crashes on wet surfaces decreased significantly from 11 to 3. Crashes in clear weather conditions decreased slightly from 27 to 24, and crashes during rain-related conditions decreased from 11 to 3. Similarly, crashes occurring during daylight hours decreased from 31 to 29, with crashes in dark conditions also decreasing from 7 to 4.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Road surface condition field
Vehicles & Demographics
TOYOTA remained the most common vehicle make involved in crashes, increasing from 15 vehicles in April 2021 to 18 in April 2022. NISSAN and HONDA significantly increased their representation, each rising to 9 vehicles from 2 and 3 respectively. There was a notable shift in the age distribution of persons involved, with a substantial decrease in those aged 65 and older (from 13 to 2) and those aged 0-15 (from 9 to 5), while the 21-34 age groups saw increases, notably the 26-34 age group rising from 8 to 18 persons.
Top Vehicle Makes (79 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Vehicle unit records
5 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (89 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes in the 65 mph speed zone increased from 4 in April 2021 to 8 in April 2022. Conversely, crashes in the 30 mph zone decreased from 13 to 10, and in the 35 mph zone from 7 to 4. While April 2021 recorded one fatal crash in a 30 mph zone, no fatalities were reported in any speed zone during April 2022.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Posted speed limit at crash location
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly 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: Arcgis_yearly 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: 2022-04-01 through 2022-04-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-04-01 through 2022-04-30 (30 days)
- Geographic scope: BRIDGEWATER, MA
- Total crash records analyzed: 38
- Total persons involved: 93
- Total vehicles involved: 79
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). "BRIDGEWATER, MA Crash Intelligence Report: April 2022." Published June 21, 2026. Reporting period: 2022-04-01 to 2022-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/bridgewater/april-2022-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: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2022-04-01 – 2022-04-30
Generated: June 21, 2026 · All rights reserved