ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · ATTLEBORO, 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/attleboro/2022-annual-report
Yearly Traffic Safety Analysis
1,105 CRASHES IN
ATTLEBORO, MA
2022
In 2022, Attleboro recorded 1,105 vehicle crashes, an 11.7% decrease from the 1,251 crashes reported in 2021. While the overall number of crashes and related injuries declined, the number of fatalities doubled from 2 in 2021 to 4 in 2022. This increase in deaths occurred despite a reduction in total collisions.
1,105
▼ -11.7%was 1,251
Total Crash Events
4
▲ 100.0%was 2
Persons Killed
357
▼ -15.0%was 420
Persons Injured
41
▼ -48.1%was 79
Hit-and-Run Crashes
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 13 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
Overall, traffic crashes in Attleboro showed a downward trend from 2021 to 2022. The total number of crashes decreased by 11.7%, from 1,251 to 1,105, representing 146 fewer incidents. Similarly, the number of people injured in these collisions fell by 15.0%, from 420 in 2021 to 357 in 2022.
41
Hit-and-Run Crashes — 2022
▼ -48.1% vs prior (79)
Hit-and-run incidents saw a significant decrease both in absolute numbers and as a proportion of total crashes. The number of hit-and-run crashes fell by 48.1%, from 79 in 2021 to 41 in 2022. Consequently, the hit-and-run rate, which measures the percentage of all crashes that are hit-and-runs, dropped from 6.3% in 2021 to 3.7% in 2022.
Vulnerable Road User Casualties
4
Motorists Killed
357
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 temporal patterns of crashes showed some shifts between the two years. In 2022, the peak day for crashes was Friday with 208 incidents, a change from 2021 when Wednesday was the peak day with 207 incidents. The peak hour for crashes remained in the afternoon, occurring at 4 p.m. in 2021 (128 crashes) and jointly at 3 p.m. and 4 p.m. in 2022 (90 crashes each), indicating a less concentrated but still present afternoon rush hour peak.
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
While total crashes decreased, the severity of crashes worsened in some respects year-over-year. The number of fatalities doubled from 2 in 2021 to 4 in 2022, and the number of fatal crashes rose from 2 to 3. The share of crashes involving serious injuries also increased, from 1.1% of all crashes (14 incidents) in 2021 to 1.7% (19 incidents) in 2022. Concurrently, the proportion of crashes resulting in no injuries rose from 73.1% to 75.2%.
Severity is per crash event (most severe injury). 3 fatal crash events resulted in 4 persons killed.
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 leading contributing factors for crashes shifted between 2021 and 2022. "Failed to yield right of way" became the top factor in 2022 with 197 incidents, a 26.3% increase in count from 156 incidents in 2021. Conversely, crashes attributed to "Inattention" decreased in count by 14.1% (from 220 to 189) and "Followed too closely" decreased in count by 17.5% (from 177 to 146), changing the ranking of top collision causes.
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
The majority of crashes in both periods occurred during daylight on dry roads. The proportion of crashes under these ideal conditions remained relatively stable, with daylight crashes accounting for 66.8% in 2021 and 68.6% in 2022. However, there was a noticeable increase in the share of crashes occurring on wet road surfaces, which rose from 13.9% of all crashes in 2021 to 16.4% in 2022.
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 makes of vehicles involved in crashes remained broadly consistent, with Toyota, Honda, and Ford being the most common in both years. While the number of Toyotas involved increased slightly from 345 to 363, the number of Hondas and Fords decreased by 32.5% and 29.5% respectively. The age distribution of persons involved in crashes also saw minor shifts; for instance, the proportion of individuals aged 16-20 decreased from 12.3% of all persons involved in 2021 to 11.1% in 2022.
Top Vehicle Makes (1,977 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
80 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,427 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
The distribution of crashes across speed zones changed between the two periods. While crashes in 30 mph zones decreased from 379 to 343, incidents in higher speed zones increased, notably in 65 mph zones (from 180 to 216 crashes) and 40 mph zones (from 166 to 178 crashes). Fatal crashes also shifted location; in 2022, two fatal crashes occurred in 40 mph zones and one in a 45 mph zone, whereas in 2021, the two fatal crashes were recorded in 30 mph and 65 mph zones.
Fatal crashes by zone: 40 mph: 2 of 178 (1.124%) · 45 mph: 1 of 69 (1.449%)
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: ATTLEBORO, MA
- Total crash records analyzed: 1,105
- Total persons involved: 2,546
- Total vehicles involved: 1,977
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). "ATTLEBORO, 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/attleboro/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