Monthly Traffic Safety Analysis

27 CRASHES IN
CONCORD, MA
DECEMBER 2024

All metrics benchmarked againstDecember 2023

Total crashes decreased from 41 in December 2023 to 27 in December 2024, representing a 34.15% reduction year-over-year. The most notable shift was the 70% decrease in crashes attributed to "Followed too closely," falling from 10 incidents to 3.

27

▼ -34.1%was 41

Total Crash Events

0

Persons Killed

7

▼ -22.2%was 9

Persons Injured

1

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. 1 crash with unreported severity is not shown in the severity breakdown.

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

Overall, crash incidents in December saw a significant downward trend year-over-year, decreasing by 34.15% from 41 crashes in 2023 to 27 crashes in 2024. Total injuries also declined from 9 to 7, while fatalities remained at zero in both periods.

1

Hit-and-Run Crashes — December 2024

3.7% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

7

Motorists Injured

Prior: 8↓-12.5%

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 Saturday (10 crashes) in December 2023 to Monday and Sunday (6 crashes each) in December 2024. While 5 PM remained a peak hour in both periods, recording 6 crashes in 2023 and 4 crashes in 2024, the prior year also saw 8 AM and 9 AM as peak hours with 6 crashes each, which was not observed in the current period.

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 for both December 2023 and December 2024. The total number of injured persons decreased from 9 in the prior period to 7 in the current period. Notably, the current period recorded 1 serious injury (Severity A), which was not present in the prior period, while minor injuries (Severity B) decreased from 6 to 4 and possible injuries (Severity C) decreased from 3 to 2.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.7%
Minor Injury4minor injury crashes14.8%
↓-33.3%prior 6
Possible Injury2possible injury crashes7.4%
↓-33.3%prior 3
No Injury19no injury crashes70.4%
↓-40.6%prior 32

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 contributing factor "Followed too closely" saw the largest decrease, dropping by 70% in count from 10 crashes in December 2023 to 3 in December 2024. "No improper driving" also decreased by 50% in count, from 8 crashes to 4. Conversely, "Failed to yield right of way" increased by 50% in count, from 2 crashes to 3.

Officer-Reported Primary Contributing Cause

Inattention4 (14.8%)↓-33.3%prior 6
No improper driving4 (14.8%)↓-50.0%prior 8
Failed to yield right of way3 (11.1%)
Followed too closely3 (11.1%)↓-70.0%prior 10
Made an improper turn2 (7.4%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (7.4%)
Glare2 (7.4%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (7.4%)
Driving too fast for conditions1 (3.7%)
Emotional1 (3.7%)

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

The proportion of crashes occurring in adverse weather and road conditions increased in December 2024 compared to December 2023. Crashes during "Rain" increased from 1 to 4, and "Snow" conditions, which were absent in the prior period, contributed to 3 crashes in the current period. Similarly, "Ice" and "Snow" road surface conditions, not present in the prior period, accounted for 2 and 1 crashes respectively in the current period, while "Wet" road surface crashes remained stable at 8.

Weather

Clear16 (59.3%)
↓-52.9%prior 34
Rain4 (14.8%)
Snow3 (11.1%)
Cloudy/Cloudy1 (3.7%)
Cloudy1 (3.7%)
Rain/Cloudy1 (3.7%)
Rain/Fog, smog, smoke1 (3.7%)

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

Lighting

Daylight17 (63.0%)
↓-29.2%prior 24
Dark - lighted roadway6 (22.2%)
↓-40.0%prior 10
Dark - roadway not lighted2 (7.4%)
Dusk2 (7.4%)

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

Road Surface

Dry16 (59.3%)
↓-51.5%prior 33
Wet8 (29.6%)
→0.0%prior 8
Ice2 (7.4%)
Snow1 (3.7%)

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 (48 vehicles)

1
TOYOTA14 (29.2%)
↓-6.7%prior 15
2
HONDA6 (12.5%)
↓-33.3%prior 9
3
FORD5 (10.4%)
↓-61.5%prior 13
4
VOLVO3 (6.3%)
5
JEEP3 (6.3%)
6
SUBARU3 (6.3%)
↓-57.1%prior 7
7
NISSAN2 (4.2%)
8
ISU2 (4.2%)
9
LNDR2 (4.2%)
10
PTRB1 (2.1%)

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

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

Sex Distribution (49 persons with recorded sex)

Male30 (61.2%)
↓-31.8%prior 44
Female19 (38.8%)
↓-40.6%prior 32

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 speed zones of 30 MPH and 45 MPH significantly decreased, falling from 9 to 4 and 10 to 3 respectively. Crashes in the 55 MPH zone (2 incidents) present in December 2023 were not recorded in December 2024. Conversely, crashes in the 40 MPH zone, which had no incidents in the prior period, accounted for 2 crashes in the current period. Fatal crash rates remained at zero across all speed zones in both periods.

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: CONCORD, MA
  • Total crash records analyzed: 27
  • Total persons involved: 57
  • Total vehicles involved: 48

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). "CONCORD, 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/concord/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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Concord, MA Crash Report — December 2024 | ThatCarHitMe.com