ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MEDFORD, 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/medford/2022-annual-report
Yearly Traffic Safety Analysis
1,171 CRASHES IN
MEDFORD, MA
2022
In 2022, Medford recorded 1,171 vehicle crashes, an increase of 6.9% from the 1,095 crashes documented in 2021. While total fatalities remained unchanged at three, total injuries rose from 255 to 267. The most notable year-over-year shift was a 40.6% increase in the number of crashes attributed to 'Followed too closely,' which grew from 101 incidents in 2021 to 142 in 2022.
1,171
▲ 6.9%was 1,095
Total Crash Events
3
Persons Killed
267
▲ 4.7%was 255
Persons Injured
207
▲ 3.5%was 200
Hit-and-Run Crashes
Note: "Persons Killed" (3) 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. 105 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 Medford showed an upward trend from 2021 to 2022. The total number of crashes increased by 6.9%, from 1,095 to 1,171. This was accompanied by a 4.7% rise in total injuries, from 255 to 267, while the number of fatalities held steady at three for both years.
207
Hit-and-Run Crashes — 2022
▲ 3.5% vs prior (200)
The number of hit-and-run crashes increased slightly from 200 in 2021 to 207 in 2022, a change of 3.5%. However, because the total number of crashes also increased, the hit-and-run rate as a percentage of all crashes trended downward. The rate decreased from 18.3% in 2021 to 17.7% in 2022.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
2
Motorists Killed
0
Other Killed
21
Pedestrians Injured
12
Cyclists Injured
230
Motorists Injured
4
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 pattern of crashes shifted between the two periods. In 2022, the peak day for crashes was Thursday with 191 incidents, a change from 2021 when Saturday was the peak day with 177 crashes. The peak hour for collisions remained relatively consistent, shifting slightly from the 3 p.m. hour (86 crashes) in 2021 to the 2 p.m. hour (89 crashes) in 2022.
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
The severity distribution of crashes saw minor changes year-over-year. The number of fatal crashes was identical at three for both 2021 and 2022, with the fatal crash rate decreasing slightly from 0.27% to 0.26%. The number of crashes resulting in serious injuries increased from 11 to 12, and minor injury crashes rose from 125 to 132. However, as a proportion of all incidents, crashes involving any injury (serious, minor, or possible) decreased from 19.1% in 2021 to 18.4% in 2022.
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
A comparison of contributing factors reveals a significant shift in driver behavior. Crashes attributed to 'Followed too closely' increased by 40.6%, rising from 101 incidents in 2021 to 142 in 2022, and moving from the third to the second most common factor. 'Failed to yield right of way' also saw an 11.2% increase in count, from 125 to 139 crashes. Conversely, 'Other improper action' decreased from 98 crashes in 2021 to 67 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
Crash conditions remained broadly similar between 2021 and 2022. In both years, the majority of crashes occurred in daylight (64.2% in 2021 vs. 65.3% in 2022) and on dry road surfaces (78.7% vs. 78.3%). The number of crashes in the rain decreased from 90 to 78, while crashes on wet roads were nearly unchanged, with 162 in 2021 and 161 in 2022. There were no significant shifts in the proportion of crashes occurring under adverse 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
The top three vehicle makes involved in crashes—Toyota, Honda, and Ford—remained the same from 2021 to 2022. However, the number of Hondas involved in collisions increased from 297 to 347. An analysis of persons involved shows a notable increase in the 35-44 age group, which grew from 309 individuals in 2021 to 399 in 2022. The 65+ age group also saw an increase, from 151 to 204 persons involved.
Top Vehicle Makes (2,273 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
467 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,185 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
There was a notable shift in where crashes occurred relative to speed zones. Crashes in 35 mph zones decreased by 25.8%, from 225 in 2021 to 167 in 2022. This was offset by a 29.5% increase in crashes within 55 mph zones (from 105 to 136) and a 10.2% increase in 25 mph zones (from 620 to 683). In 2022, one fatal crash occurred in a 25 mph zone, where none had occurred in the prior year.
Fatal crashes by zone: 25 mph: 1 of 683 (0.146%) · 35 mph: 1 of 167 (0.599%) · 55 mph: 1 of 136 (0.735%)
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: MEDFORD, MA
- Total crash records analyzed: 1,171
- Total persons involved: 2,628
- Total vehicles involved: 2,273
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). "MEDFORD, 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/medford/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