ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · SPENCER, 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/spencer/2022-annual-report
Yearly Traffic Safety Analysis
236 CRASHES IN
SPENCER, MA
2022
In 2022, Spencer recorded 236 total traffic crashes, a 4.9% increase from the 225 crashes reported in 2021. The most significant year-over-year change was the occurrence of one fatal crash in 2022, whereas there were no fatal crashes in the prior year. Total injuries also saw a slight increase, rising from 54 people in 2021 to 59 in 2022.
236
▲ 4.9%was 225
Total Crash Events
1
Persons Killed
59
▲ 9.3%was 54
Persons Injured
9
▼ -43.8%was 16
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. 4 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
Traffic collisions in Spencer trended upward from 2021 to 2022. The total number of crashes rose by 4.9%, from 225 to 236. Similarly, the number of people injured in these incidents increased by 9.3%, from 54 to 59, and the city recorded one fatality in 2022 after having none in the previous year.
9
Hit-and-Run Crashes — 2022
▼ -43.8% vs prior (16)
Hit-and-run incidents in Spencer saw a significant decrease from 2021 to 2022. The total number of hit-and-run crashes fell by 43.8%, from 16 incidents in 2021 to 9 in 2022. This decline is also reflected in the hit-and-run rate, which dropped from 7.1% of all crashes in the prior year to 3.8% in the current year.
Vulnerable Road User Casualties
0
Cyclists Killed
1
Motorists Killed
2
Cyclists Injured
57
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 2021 and 2022. While Wednesday remained the peak day for crashes in both years, the number of incidents on this day grew from 40 to 53. The peak hour for collisions shifted slightly earlier, from 4 p.m. in 2021 (28 crashes) to 3 p.m. in 2022 (25 crashes). Notably, crashes on Saturdays increased from 32 to 41, while crashes on Mondays decreased from 37 to 28.
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 worsened from 2021 to 2022, with the city recording one fatal crash after having none the previous year. The overall proportion of crashes resulting in any level of injury increased from 16.0% in 2021 to 19.1% in 2022. While the share of serious and minor injury crashes saw a slight decrease, crashes classified as "Possible Injury" increased their share of all incidents from 4.9% to 8.9%.
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 to crashes remained consistent year-over-year, though their counts shifted. In both 2021 and 2022, "No improper driving" was the most common factor listed, followed by "Failed to yield right of way." The count for "Failed to yield right of way" crashes grew by 34.5%, from 29 incidents in 2021 to 39 in 2022. Crashes attributed to "Other improper action" also saw a significant count increase, rising from 12 to 21. Conversely, crashes involving "Inattention" decreased from 24 to 16.
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 distribution of environmental conditions during crashes remained largely stable between 2021 and 2022. In both years, approximately 70% of crashes occurred in daylight and about 74% occurred on dry road surfaces. The proportion of crashes happening in clear weather was also consistent, accounting for 71.1% of incidents in 2021 and 68.2% in 2022. There were no significant year-over-year shifts in crashes related to adverse weather, lighting, or road surface conditions.
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
Analysis of vehicles and persons involved shows notable demographic shifts from 2021 to 2022. The 55-64 age group saw a 58.7% increase in persons involved in crashes, from 46 to 73, becoming the most represented group in 2022. Conversely, the 26-34 age group, which was the largest in 2021, saw its involvement decrease by 18.1%, from 83 to 68 persons. Regarding vehicle makes, Ford remained the most common vehicle in crashes in both years with 63 vehicles, while the number of Toyotas involved increased from 44 to 56.
Top Vehicle Makes (389 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
18 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (443 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 different speed zones remained consistent between 2021 and 2022. In both years, the majority of incidents occurred in 30 mph zones (96 in 2021, 100 in 2022) and 40 mph zones (60 in 2021, 71 in 2022). The single fatal crash recorded in 2022 occurred within a 30 mph speed zone. There were no fatal crashes reported in any speed zone in 2021.
Fatal crashes by zone: 30 mph: 1 of 100 (1%)
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: SPENCER, MA
- Total crash records analyzed: 236
- Total persons involved: 461
- Total vehicles involved: 389
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). "SPENCER, 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/spencer/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