ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MEDFORD, MA · AUGUST 2023
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/august-2023-report
Monthly Traffic Safety Analysis
115 CRASHES IN
MEDFORD, MA
AUGUST 2023
In August 2023, Medford experienced 115 total crashes, a slight increase from 113 crashes in August 2022, representing a 1.77% rise. Total injuries increased by 30%, from 30 to 39. A notable shift was the 38.5% decrease in hit-and-run crashes, falling from 26 to 16 incidents.
115
▲ 1.8%was 113
Total Crash Events
0
Persons Killed
39
▲ 30.0%was 30
Persons Injured
16
▼ -38.5%was 26
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. 9 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash incidents in Medford remained relatively stable year-over-year, with a minor increase of 1.77% from 113 to 115 crashes. However, total injuries saw a significant rise of 30%, from 30 to 39. Fatalities remained at zero in both periods.
16
Hit-and-Run Crashes — August 2023
▼ -38.5% vs prior (26)
Hit-and-run crashes decreased from 26 incidents in August 2022 to 16 incidents in August 2023. Correspondingly, the hit-and-run rate declined from 23% to 13.9%. This indicates a downward trend in both the absolute number and the proportion of crashes involving a hit-and-run component.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
2
Pedestrians Injured
2
Cyclists Injured
35
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes shifted from Monday in August 2022, with 21 incidents, to Tuesday in August 2023, with 26 incidents. The peak hour also shifted from 5 PM in the prior period, with 10 crashes, to 4 PM in the current period, with 13 crashes. This indicates a slight shift in the busiest times for crash occurrences.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
There was a decrease in serious injury crashes, falling from 4 (3.5% of total) in August 2022 to 1 (0.9% of total) in August 2023. Conversely, minor injury crashes increased from 12 (10.6% of total) to 22 (19.1% of total). Possible injury crashes decreased from 9 (8% of total) to 7 (6.1% of total).
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Most severe injury per crash record
Top Contributing Factors
The factor 'No improper driving' saw an increase of 10 incidents, rising from 19 to 29. Incidents attributed to 'Failed to yield right of way' decreased by 7, from 18 to 11. 'Inattention' incidents also decreased by 6, from 12 to 6. The count for 'Followed too closely' remained constant at 16 incidents in both periods.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring on wet road surfaces saw a significant increase, rising from 5 incidents in August 2022 to 25 incidents in August 2023. Crashes under clear weather conditions decreased from 84 to 71. The number of crashes occurring during daylight hours increased from 79 to 86, while those in dark-lighted roadway conditions remained stable, with 26 in the prior period and 25 in the current period.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Road surface condition field
Vehicles & Demographics
The number of persons aged 55-64 involved in crashes increased notably from 19 to 31. There was also an increase in involvement for the 0-15 age group, rising from 4 to 9. Conversely, the 26-34 age group saw a decrease in involvement from 46 to 41. Toyota and Honda remained the top two vehicle makes involved, with Toyota increasing from 40 to 42 and Honda from 33 to 36.
Top Vehicle Makes (227 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Vehicle unit records
41 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (225 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Person-level records linked to crash events
Speed Limit Zones
There was a notable increase in crashes occurring in the 30 mph speed zone, rising from 5 incidents in August 2022 to 16 in August 2023. Crashes in the 55 mph zone decreased from 15 to 9. The 25 mph zone saw a slight increase from 64 to 67 incidents. Fatal crash rates remained at 0 across all speed zones in both periods.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · 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: 2023-08-01 through 2023-08-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-08-01 through 2023-08-31 (31 days)
- Geographic scope: MEDFORD, MA
- Total crash records analyzed: 115
- Total persons involved: 264
- Total vehicles involved: 227
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: August 2023." Published June 21, 2026. Reporting period: 2023-08-01 to 2023-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/medford/august-2023-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: 2023-08-01 – 2023-08-31
Generated: June 21, 2026 · All rights reserved