ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BLANDFORD, 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/blandford/2022-annual-report
Yearly Traffic Safety Analysis
72 CRASHES IN
BLANDFORD, MA
2022
In 2022, Blandford recorded 72 total crashes, a 15.3% decrease from the 85 crashes reported in 2021. Despite the overall reduction in collisions, the most significant change was the occurrence of one fatal crash in 2022, whereas no fatal crashes were recorded in the prior year. Total injuries saw a slight increase from 22 in 2021 to 24 in 2022.
72
▼ -15.3%was 85
Total Crash Events
1
Persons Killed
24
▲ 9.1%was 22
Persons Injured
3
▲ 50.0%was 2
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. 3 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 Blandford showed a downward trend, decreasing by 15.3% from 85 in 2021 to 72 in 2022. However, this decrease in total crashes was accompanied by an increase in severity, with total injuries rising by 9.1% from 22 to 24 and one fatality recorded in 2022 compared to none in the previous year.
3
Hit-and-Run Crashes — 2022
▲ 50.0% vs prior (2)
The number of hit-and-run incidents increased from 2 in 2021 to 3 in 2022. As a proportion of total collisions, the hit-and-run rate also increased, rising from 2.4% in the prior year to 4.2% in the current year. This indicates an upward trend in both the absolute count and the rate of hit-and-run crashes.
Vulnerable Road User Casualties
1
Motorists Killed
24
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 shifted between the two periods. While Friday remained a peak day for collisions, Sunday emerged as an equally high-risk day in 2022 with 15 crashes, up from 8 the prior year. The peak hour for crashes moved earlier, from 10 p.m. in 2021 (7 crashes) to 7 p.m. in 2022 (8 crashes). A notable seasonal shift occurred, with December becoming the month with the most crashes in 2022 (24), a significant increase from the 9 crashes recorded in December 2021.
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 increased in 2022, with one fatal crash recorded, compared to none in 2021. The proportion of crashes resulting in any level of injury remained stable at approximately 22% in both years. However, the composition of injury crashes changed; the share of minor injury crashes decreased from 17.6% to 12.5% of all crashes, while the share of possible injury crashes increased from 3.5% to 8.3%.
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
While 'No improper driving' remained the most common factor listed for crashes in both years, its count decreased from 43 in 2021 to 30 in 2022. The second most cited factor, 'Driving too fast for conditions,' saw a notable increase in count, rising from 11 crashes in 2021 to 17 in 2022. Crashes attributed to 'Inattention' also doubled in count from 2 to 4, while those involving 'Failure to keep in proper lane' decreased from a count of 6 to 4.
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 environmental conditions associated with crashes shifted significantly year-over-year. In 2022, a much larger number of crashes occurred during adverse winter weather, with the count of collisions in snow or sleet conditions rising from 11 to 24. Consequently, the proportion of crashes on snowy road surfaces increased from 14.1% in 2021 to 29.2% in 2022. There was also an increase in the proportion of crashes occurring in unlit dark conditions, which rose from 34.1% to 41.7% of all crashes.
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
Ford and Toyota remained the top two vehicle makes involved in crashes across both years. However, the involvement of Honda vehicles decreased from 11 in 2021 to 4 in 2022, while Chevrolet and Subaru saw increased involvement, moving them into the top four makes. Analysis of persons involved shows the 26-34 age group was the most represented in both periods. Notably, the number of persons in the 16-20 age group involved in crashes increased from 11 to 15, while involvement for the 21-25 age group decreased from 16 to 5.
Top Vehicle Makes (93 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
8 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (102 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
Crashes in 65 mph zones saw a significant decrease, from 60 in 2021 to 41 in 2022, though this speed zone continued to account for the largest number of collisions. The number of crashes in 35 mph and 40 mph zones remained relatively stable. The single fatal crash recorded in 2022 occurred in a 35 mph zone, where no fatalities were reported in the prior year.
Fatal crashes by zone: 35 mph: 1 of 11 (9.091%)
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: BLANDFORD, MA
- Total crash records analyzed: 72
- Total persons involved: 113
- Total vehicles involved: 93
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). "BLANDFORD, 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/blandford/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