ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · LAKEVILLE, 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/lakeville/2022-annual-report
Yearly Traffic Safety Analysis
210 CRASHES IN
LAKEVILLE, MA
2022
In 2022, Lakeville recorded 210 total crashes, a slight decrease from the 212 crashes reported in 2021. While the overall crash volume remained stable with a decline of less than 1%, the most significant year-over-year change was the occurrence of one fatal crash in 2022, whereas there were no fatalities in the prior year. The total number of injuries also decreased from 78 in 2021 to 70 in 2022.
210
▼ -0.9%was 212
Total Crash Events
1
Persons Killed
70
▼ -10.3%was 78
Persons Injured
10
▲ 66.7%was 6
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
Overall crash trends in Lakeville were relatively stable year-over-year, with total crashes decreasing by just under 1%, from 212 in 2021 to 210 in 2022. Despite this stability in crash volume, the number of people injured in these incidents declined by 10.3%, from 78 to 70. However, 2022 saw one fatality, compared to none in the previous year.
10
Hit-and-Run Crashes — 2022
▲ 66.7% vs prior (6)
The number of hit-and-run incidents increased from 6 in 2021 to 10 in 2022, a 66.7% rise in count. This pushed the hit-and-run rate, as a percentage of total crashes, from 2.8% in the prior year to 4.8% in the current year. The data indicates an upward trend in crashes where at least one driver left the scene.
Vulnerable Road User Casualties
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
1
Cyclists Injured
68
Motorists Injured
1
Other 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 in Lakeville showed some shifts between 2021 and 2022. The peak day for collisions moved from Friday (34 crashes) in 2021 to Thursday (40 crashes) in 2022. Similarly, the peak hour for crashes shifted from 2 p.m. in the prior year (24 crashes) to 5 p.m. in the current year (20 crashes). The morning commute saw an increase in incidents, with crashes during the 7 a.m. hour rising from 10 to 16.
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 in 2022 was marked by the appearance of one fatal incident, which accounted for 0.5% of all crashes, compared to zero fatal crashes in 2021. The proportion of serious injury crashes decreased slightly from 3.8% to 3.3% of all crashes. There was a notable shift in lower-level injury classifications, with the share of 'possible injury' crashes dropping from 7.1% to 2.9%, while 'minor injury' crashes increased their share from 14.2% to 16.2% of the total.
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 remained consistent, with 'Inattention' (48 crashes in 2022 vs. 45 in 2021) and 'No improper driving' (59 vs. 56) being the most cited in both periods. However, there were significant changes in the counts of other factors. Crashes attributed to 'Failed to yield right of way' decreased from 23 to 17, and those involving 'Driving too fast for conditions' dropped from 14 to 6. Conversely, crashes involving a driver who was 'Fatigued/asleep' increased from 4 incidents in 2021 to 11 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
The environmental conditions during crashes were broadly similar year-over-year, with most incidents in both periods occurring in daylight (59.0% of crashes in 2022 vs. 59.4% in 2021) and on dry roads (80.0% vs. 75.5%). However, the proportion of crashes happening in adverse weather saw a decrease. Incidents during rainy conditions fell from representing 12.3% of all crashes in 2021 to 4.3% in 2022. Correspondingly, crashes on wet road surfaces decreased from 17.0% to 13.3% of the total.
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 vehicle makes involved in crashes remained consistent, with Ford, Toyota, Chevrolet, and Honda leading in both 2021 and 2022. In 2022, Ford and Toyota were tied as the most common makes, each involved in 44 crashes. Analysis of persons involved shows a shift in age demographics; the number of individuals in the 26-34 age group decreased from 71 to 53. Conversely, involvement of the 65+ age group increased from 35 individuals in 2021 to 49 in 2022.
Top Vehicle Makes (324 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
16 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (384 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 saw some changes between the two years. While the 40 mph zone remained a frequent location for crashes with 60 incidents in both 2021 and 2022, there was a shift away from some higher speed zones. Crashes in 65 mph zones decreased from 50 to 44, and incidents in 45 mph zones fell from 26 to 17. In contrast, crashes in 25 mph zones increased from 13 to 21. The single fatal crash recorded in 2022 occurred in a 40 mph speed zone.
Fatal crashes by zone: 40 mph: 1 of 60 (1.667%)
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: LAKEVILLE, MA
- Total crash records analyzed: 210
- Total persons involved: 412
- Total vehicles involved: 324
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). "LAKEVILLE, 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/lakeville/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