Monthly Traffic Safety Analysis

30 CRASHES IN
AMESBURY, MA
DECEMBER 2024

All metrics benchmarked againstDecember 2023

In December 2024, Amesbury experienced 30 crashes, an increase of 36.4% compared to the 22 crashes reported in December 2023. While total crashes rose, the number of injuries significantly decreased from 4 in the prior period to 1 in the current period. Fatalities remained at zero for both December 2023 and December 2024.

30

36.4%was 22

Total Crash Events

0

Persons Killed

1

-75.0%was 4

Persons Injured

0

-100.0%was 3

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 · 2024-12-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a notable increase in total crashes, rising from 22 in December 2023 to 30 in December 2024, representing a 36.4% increase. Despite this rise in crash incidents, the number of total injuries decreased by 75%, from 4 to 1, suggesting a shift towards less severe outcomes. Fatal crashes remained stable at zero in both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

1

Motorists Injured

Prior: 4-75.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · 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 December 2023, with 6 crashes, to Friday and Saturday in December 2024, both with 6 crashes. The peak hour for crashes remained 4 PM in both periods, with 4 crashes in December 2023 and 6 crashes in December 2024. Overall, crashes were more distributed across the week in the current period, with an increase in incidents on Sundays, Fridays, and Saturdays.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both December 2023 and December 2024. Total injuries decreased significantly from 4 in the prior period to 1 in the current period, representing a 75% reduction. While minor injuries stayed constant at 1 crash in both periods, possible injuries, which accounted for 3 crashes in December 2023, were not reported in December 2024.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes3.3%
0.0%prior 1
No Injury29no injury crashes96.7%
70.6%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving,' increased by 3 crashes (50%), rising from 6 in December 2023 to 9 in December 2024. 'Inattention' decreased by 4 crashes (66.7%), moving from 6 incidents to 2 incidents year-over-year. 'Failed to yield right of way' saw a substantial increase, rising from 1 crash to 4 crashes, a 300% change in count, making it the second most frequent factor in the current period.

Officer-Reported Primary Contributing Cause

No improper driving9 (30%)50.0%prior 6
Failed to yield right of way4 (13.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway3 (10%)
Driving too fast for conditions2 (6.7%)
Failure to keep in proper lane or running off road2 (6.7%)
Inattention2 (6.7%)-66.7%prior 6
Physical impairment2 (6.7%)
Visibility obstructed1 (3.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 13 in December 2023 to 15 in December 2024. There was a notable increase in crashes on 'Snow' road surfaces, rising from 1 in the prior period to 8 in the current period. In terms of lighting, crashes during 'Dark - lighted roadway' conditions saw a significant increase from 5 to 14, while 'Daylight' crashes decreased from 12 to 10.

Weather

Clear15 (50.0%)
15.4%prior 13
Snow4 (13.3%)
Snow/Sleet, hail (freezing rain or drizzle)3 (10.0%)
Clear/Unknown1 (3.3%)
Cloudy/Rain1 (3.3%)
Cloudy/Snow1 (3.3%)
Rain1 (3.3%)
Rain/Cloudy1 (3.3%)
Clear/Other1 (3.3%)
Snow/Blowing sand, snow1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Weather condition at time of crash

Lighting

Dark - lighted roadway14 (46.7%)
180.0%prior 5
Daylight10 (33.3%)
-16.7%prior 12
Dark - roadway not lighted5 (16.7%)
Dawn1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Lighting condition field

Road Surface

Dry17 (56.7%)
13.3%prior 15
Snow8 (26.7%)
Wet3 (10.0%)
-40.0%prior 5
Ice2 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (50 vehicles)

1
TOYOTA7 (14%)
16.7%prior 6
2
CHEVROLET6 (12%)
-25.0%prior 8
3
HONDA6 (12%)
20.0%prior 5
4
FORD5 (10%)
5
NISSAN4 (8%)
6
SUBARU4 (8%)
7
MAZDA3 (6%)
8
KIA3 (6%)
9
LEXUS2 (4%)
10
JEEP2 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Vehicle unit records

2 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (56 persons with recorded sex)

Male30 (53.6%)
25.0%prior 24
Female26 (46.4%)
30.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed zone increased from 13 in December 2023 to 16 in December 2024. Crashes in the 65 mph speed zone remained stable at 4 incidents in both periods. Additionally, crashes were reported in 5 mph and 15 mph zones in December 2024 (1 and 3 crashes respectively), which were not present in the prior period, while the 45 mph zone (1 crash) from December 2023 was not present in the current data. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · 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: 2024-12-01 through 2024-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-12-01 through 2024-12-31 (31 days)
  • Geographic scope: AMESBURY, MA
  • Total crash records analyzed: 30
  • Total persons involved: 58
  • Total vehicles involved: 50

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). "AMESBURY, MA Crash Intelligence Report: December 2024." Published June 21, 2026. Reporting period: 2024-12-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/amesbury/december-2024-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

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Amesbury, MA Crash Report — December 2024 | ThatCarHitMe.com