ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · RANDOLPH, MA · 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/randolph/2022-annual-report
Yearly Traffic Safety Analysis
740 CRASHES IN
RANDOLPH, MA
2022
In Randolph, total traffic crashes remained relatively stable, increasing slightly from 730 in 2021 to 740 in 2022, a change of 1.4%. While the overall crash volume was steady, the most significant year-over-year change was the occurrence of one fatal crash in 2022, whereas none were recorded in the prior year. Despite this fatality, the total number of injuries reported decreased from 131 to 110.
740
▲ 1.4%was 730
Total Crash Events
1
Persons Killed
110
▼ -16.0%was 131
Persons Injured
45
▲ 21.6%was 37
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 385 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend shows a marginal increase in the total number of crashes, which rose by 1.4% from 730 in 2021 to 740 in 2022. However, this was accompanied by a 16% decrease in the total number of injuries, which fell from 131 to 110. The data indicates a shift towards fewer injuries per crash, though the city did experience its first fatal crash in this two-year comparison period, with one fatality recorded in 2022.
45
Hit-and-Run Crashes — 2022
▲ 21.6% vs prior (37)
Hit-and-run incidents increased in both count and rate year-over-year. The number of hit-and-run crashes rose from 37 in 2021 to 45 in 2022, representing a 21.6% increase. Consequently, the hit-and-run rate as a percentage of total crashes trended upward, increasing from 5.1% in 2021 to 6.1% in 2022.
Vulnerable Road User Casualties
1
Motorists Killed
110
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes showed some shifts between the two periods. The peak day for crashes moved from Friday (121 crashes) in 2021 to Saturday (131 crashes) in 2022. Similarly, the peak hour shifted slightly later in the day, from the 4 PM hour in 2021 (59 crashes) to the 5 PM hour in 2022 (65 crashes). This suggests that weekend and late afternoon commute times remain high-frequency periods for collisions.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity saw a mixed trend year-over-year. A notable increase was the recording of one fatal crash in 2022, up from zero in 2021. Conversely, the number of crashes resulting in serious injuries decreased from 5 to 3, and minor injury crashes fell from 62 to 48. Crashes involving possible injuries saw an increase, rising from 25 in 2021 to 31 in 2022.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Top Contributing Factors
The top three contributing factors remained consistent across both years, though their ranking changed. In 2022, 'Followed too closely' became the leading factor with 134 incidents, an increase of 17.5% from 114 incidents in 2021. 'Failed to yield right of way' decreased from 130 to 121 incidents, and crashes attributed to 'No improper driving' fell from 148 to 131. Notably, crashes involving 'Inattention' saw a significant 79% increase in count, rising from 38 incidents in 2021 to 68 in 2022.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions remained broadly similar year-over-year, with most incidents in both periods occurring in daylight (453 in 2022 vs. 449 in 2021) and on dry roads (584 in 2022 vs. 587 in 2021). There was a notable increase in crashes occurring on adverse road surfaces; incidents on roads with snow, ice, or slush more than doubled, increasing from a combined 14 crashes in 2021 to 32 in 2022. Crashes in dark but lighted roadway conditions also saw a slight increase from 152 to 164.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The top five vehicle makes involved in crashes—Toyota, Honda, Ford, Nissan, and Chevrolet—were identical in both 2021 and 2022, indicating stable vehicle demographics. Toyota-involved crashes increased from 236 to 272, while Ford-involved crashes decreased from 144 to 136. Analysis of person age groups shows a significant decrease in crash involvement for the 21-25 age group, which fell from 280 individuals in 2021 to 207 in 2022, while the 35-44 age group saw an increase from 309 to 336.
Top Vehicle Makes (1,489 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
85 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,681 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Person-level records linked to crash events
Speed Limit Zones
There was a shift in where crashes occurred relative to posted speed limits. Crashes in higher speed zones decreased, with incidents in 55 mph zones falling from 171 to 156 and those in 65 mph zones dropping from 130 to 112. Conversely, crashes in 25 mph zones increased from 179 in 2021 to 202 in 2022. The single fatal crash recorded in 2022 occurred in a 55 mph zone.
Fatal crashes by zone: 55 mph: 1 of 156 (0.641%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: RANDOLPH, MA
- Total crash records analyzed: 740
- Total persons involved: 1,816
- Total vehicles involved: 1,489
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). "RANDOLPH, MA Crash Intelligence Report: 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/randolph/2022-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: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2022-01-01 – 2022-12-31
Generated: June 21, 2026 · All rights reserved