ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · HINGHAM, MA · 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/hingham/2023-annual-report
Yearly Traffic Safety Analysis
375 CRASHES IN
HINGHAM, MA
2023
In 2023, Hingham recorded 375 total vehicle crashes, a 15.9% decrease from the 446 crashes reported in 2022. While overall crashes and injuries declined, the number of fatal crashes increased from 3 to 4. A notable year-over-year shift was the 77.8% increase in the count of hit-and-run incidents, which rose from 9 to 16.
375
▼ -15.9%was 446
Total Crash Events
4
▲ 33.3%was 3
Persons Killed
80
▼ -24.5%was 106
Persons Injured
16
▲ 77.8%was 9
Hit-and-Run Crashes
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 10 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crashes in Hingham showed a downward trend, decreasing by 15.9% from 446 in 2022 to 375 in 2023. The number of people injured also fell by 24.5%, from 106 to 80. However, this positive trend did not extend to crash severity, as the number of fatalities increased from 3 to 4 year-over-year.
16
Hit-and-Run Crashes — 2023
▲ 77.8% vs prior (9)
Hit-and-run crashes increased significantly in 2023 compared to the previous year. The total count of hit-and-run incidents rose from 9 in 2022 to 16 in 2023, representing a 77.8% increase. The hit-and-run rate, as a percentage of total crashes, more than doubled, climbing from 2.0% to 4.3%.
Vulnerable Road User Casualties
0
Pedestrians Killed
1
Cyclists Killed
3
Motorists Killed
3
Pedestrians Injured
4
Cyclists Injured
73
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of peak crash activity shifted between the two periods. In 2023, the peak day for crashes was Wednesday with 67 incidents, whereas in 2022 it was Friday with 77 incidents. Similarly, the peak hour for crashes moved later in the day, from 3 p.m. in 2022 (41 crashes) to 5 p.m. in 2023 (35 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes decreased, the severity of crashes worsened in 2023. The number of fatal crashes increased from 3 to 4, and the fatal crash rate rose from 0.7% to 1.1% of all crashes. The proportion of crashes resulting in any type of injury (minor, serious, or possible) remained stable at approximately 18% for both years, but the count of minor injuries decreased from 60 to 46.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record
Top Contributing Factors
Inattention remained the top contributing factor in both years, though its count decreased from 91 in 2022 to 74 in 2023. The most significant change in rankings was for 'Followed too closely,' which increased from 53 incidents to 67, a 26.4% rise in count, making it the second-leading factor in 2023. Crashes where 'No improper driving' was cited fell from 72 to 52, dropping from the second to the fourth-ranked factor.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in 2023 were more likely to occur in adverse conditions compared to the prior year. The proportion of crashes on wet road surfaces increased from 12.8% in 2022 to 18.7% in 2023. Similarly, crashes during rainfall accounted for 10.9% of all incidents in 2023, up from 3.1% in 2022. Consequently, the share of crashes occurring on dry roads and in clear weather decreased.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
Toyota and Ford were the top two vehicle makes involved in crashes in both years, though their total counts declined in 2023. The age demographics of persons involved in crashes showed a slight shift, with the proportion of individuals aged 65 and older increasing from 13.8% in 2022 to 15.3% in 2023. In contrast, the share of persons aged 16-20 decreased from 14.2% to 11.1% over the same period.
Top Vehicle Makes (687 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
37 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (763 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones changed, with a notable reduction in the 30 mph zone from 153 crashes in 2022 to 105 in 2023. In 2023, the four fatal crashes occurred in 25, 30, and 40 mph zones. This contrasts with 2022, when the three fatal crashes were recorded in 15, 45, and 60 mph zones, indicating a shift in where the most severe incidents happened.
Fatal crashes by zone: 25 mph: 1 of 48 (2.083%) · 30 mph: 1 of 105 (0.952%) · 40 mph: 2 of 58 (3.448%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: HINGHAM, MA
- Total crash records analyzed: 375
- Total persons involved: 835
- Total vehicles involved: 687
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). "HINGHAM, MA Crash Intelligence Report: 2023." Published June 21, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/hingham/2023-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: 2023-01-01 – 2023-12-31
Generated: June 21, 2026 · All rights reserved