ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · LINCOLN, 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/lincoln/2022-annual-report
Yearly Traffic Safety Analysis
95 CRASHES IN
LINCOLN, MA
2022
In 2022, Lincoln recorded 95 traffic crashes, a 5.6% increase from the 90 crashes documented in 2021. While total injuries decreased slightly from 35 to 32, the most significant change was in contributing factors, where incidents attributed to 'Failed to yield right of way' more than doubled, increasing from 9 in 2021 to 20 in 2022.
95
▲ 5.6%was 90
Total Crash Events
0
Persons Killed
32
▼ -8.6%was 35
Persons Injured
5
Hit-and-Run Crashes
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
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 Lincoln saw a slight increase in 2022 compared to the prior year, rising by 5.6% from 90 to 95 incidents. Despite the rise in total crashes, the number of people injured decreased by 8.6%, from 35 in 2021 to 32 in 2022. There were no fatalities recorded in either period.
5
Hit-and-Run Crashes — 2022
▼ 0.0% vs prior (5)
The occurrence of hit-and-run incidents remained stable year-over-year. Lincoln recorded 5 hit-and-run crashes in 2022, the same number as in 2021. The hit-and-run rate, expressed as a percentage of total crashes, was also nearly unchanged, moving from 5.6% in 2021 to 5.3% in 2022.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
0
Other Killed
1
Pedestrians Injured
3
Cyclists Injured
27
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 temporal patterns of crashes in Lincoln remained broadly consistent year-over-year, with Tuesday being the peak day for incidents in both 2022 (21 crashes) and 2021 (20 crashes). The 4 p.m. hour was the peak time for collisions in both periods, though the number of crashes during this hour increased from 11 to 14. A more pronounced afternoon commute peak was observed in 2022, with the hours from 3 p.m. to 5 p.m. accounting for 41% of all crashes, up from 30% in the previous year.
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
No fatal crashes were reported in Lincoln during either 2022 or 2021. However, the severity of injury-related crashes increased notably; incidents resulting in a 'Serious Injury' rose from just 1 in 2021 to 6 in 2022, representing a proportional increase from 1.1% to 6.3% of all crashes. Crashes resulting in 'Minor Injury' or 'No Injury' saw slight decreases in their share of the total, with no-injury crashes falling from 72.2% to 69.5% of all incidents.
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 significantly between 2021 and 2022. 'Failed to yield right of way' became the most cited factor in 2022, with the count of associated crashes more than doubling from 9 to 20—a 122% increase. 'Failure to keep in proper lane or running off road' also saw a notable rise in count, increasing from 8 to 13 incidents. Conversely, crashes where 'No improper driving' was noted decreased from 18 to 15 incidents.
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
Crashes in 2022 occurred more frequently under clear and dry conditions compared to the previous year. In 2022, 83.2% of crashes happened on dry roads, up from 73.3% in 2021. Correspondingly, the share of crashes on adverse road surfaces like wet, snow, or ice dropped from 26.7% in 2021 to 15.8% in 2022. Lighting conditions remained relatively stable, with daylight crashes accounting for the majority of incidents in both periods.
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 most common vehicle makes involved in crashes remained consistent, with Honda, Toyota, Subaru, and Ford leading in both years. The involvement of Subaru vehicles more than doubled, increasing from 8 in 2021 to 18 in 2022. Analysis of persons involved in crashes shows a demographic shift, with individuals in the 65+ age group representing a larger share of the total, increasing from 12.0% in 2021 to 17.3% in 2022.
Top Vehicle Makes (144 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
5 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (177 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
A notable shift occurred in the speed zones where crashes were most frequent. In 2022, crashes became more concentrated in lower-speed zones, with 78.3% of incidents occurring in areas with posted limits between 25 and 35 mph, an increase from a 58.2% share in 2021. Consequently, the proportion of crashes in higher-speed zones (40-55 mph) decreased from 38.0% in 2021 to 22.9% in 2022. No fatal crashes were recorded in any speed zone during either period.
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: LINCOLN, MA
- Total crash records analyzed: 95
- Total persons involved: 185
- Total vehicles involved: 144
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). "LINCOLN, 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/lincoln/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