Monthly Traffic Safety Analysis

34 CRASHES IN
CONCORD, MA
JULY 2025

All metrics benchmarked againstJuly 2024

Total crashes in CONCORD, MA increased from 25 in July 2024 to 34 in July 2025, representing a 36% rise year-over-year. The most notable shift was a 100% increase in total injuries, which rose from 6 to 12 during the same period.

34

36.0%was 25

Total Crash Events

0

Persons Killed

12

100.0%was 6

Persons Injured

6

-14.3%was 7

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. 3 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in CONCORD, MA show an upward trend year-over-year. Total crashes increased by 36%, from 25 in July 2024 to 34 in July 2025. This increase was accompanied by a 100% rise in total injuries, from 6 to 12.

6

Hit-and-Run Crashes — July 2025

-14.3% vs prior (7)

Hit-and-run crashes decreased from 7 in July 2024 to 6 in July 2025, a 14.3% reduction in count. The hit-and-run crash rate also decreased from 28% in July 2024 to 17.6% in July 2025, indicating a downward trend in their proportion of total crashes.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 10.0%

11

Motorists Injured

Prior: 5120.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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 (9 crashes) in July 2024 to Tuesday (10 crashes) in July 2025. The peak hour also changed, moving from 5 PM (5 crashes) in July 2024 to 3 PM (5 crashes) in July 2025, though the peak count remained consistent.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total fatalities remained at 0 in both July 2024 and July 2025. Total injuries increased from 6 in July 2024 to 12 in July 2025, a 100% increase. In July 2025, serious injuries (Severity A) were reported in 1 crash (2.9% share) and possible injuries (Severity C) in 2 crashes (5.9% share), neither of which were present in July 2024 data. Minor injuries (Severity B) increased from 5 crashes (20% share) to 6 crashes (17.6% share).

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.9%
Minor Injury6minor injury crashes17.6%
20.0%prior 5
Possible Injury2possible injury crashes5.9%
No Injury22no injury crashes64.7%
15.8%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'No improper driving' increased in count from 6 in July 2024 to 10 in July 2025, a 66.7% increase. 'Followed too closely' decreased from 6 crashes to 5 crashes, a 16.7% decrease in count, while 'Inattention' increased from 4 crashes to 5 crashes, a 25% increase in count. 'Failure to keep in proper lane or running off road' and 'Made an improper turn' both increased by 200% in count, from 1 crash each to 3 crashes each.

Officer-Reported Primary Contributing Cause

No improper driving10 (29.4%)66.7%prior 6
Followed too closely5 (14.7%)-16.7%prior 6
Inattention5 (14.7%)
Failure to keep in proper lane or running off road3 (8.8%)
Made an improper turn3 (8.8%)
Failed to yield right of way2 (5.9%)
Disregarded traffic signs, signals, road markings1 (2.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.9%)
History heart/epilepsy/fainting1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Weather

Clear23 (67.6%)
Clear/Clear8 (23.5%)
Rain3 (8.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Lighting

Daylight29 (85.3%)
Dark - lighted roadway3 (8.8%)
Dark - roadway not lighted1 (2.9%)
Dusk1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field

Road Surface

Dry31 (91.2%)
Wet3 (8.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 51 in July 2024 to 66 in July 2025. The age group 65+ became the most represented in July 2025 with 18 persons, compared to 6 in July 2024, while the 35-44 age group, which was highest in July 2024 (12 persons), decreased to 6 persons in July 2025. Honda remained a top make, though its count decreased from 11 to 8, while Toyota's count increased from 4 to 8.

Top Vehicle Makes (66 vehicles)

1
HONDA8 (12.1%)
-27.3%prior 11
2
TOYOTA8 (12.1%)
3
FORD7 (10.6%)
4
CHEVROLET4 (6.1%)
5
VOLKSWAGEN3 (4.5%)
6
KIA2 (3%)
7
BMW2 (3%)
8
STRG2 (3%)
9
SUBARU2 (3%)
10
JEEP2 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records

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

Sex Distribution (70 persons with recorded sex)

Male41 (58.6%)
78.3%prior 23
Female29 (41.4%)
38.1%prior 21

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed limit zone increased from 6 in July 2024 to 13 in July 2025, a 116.7% rise. Conversely, crashes in the 45 mph zone decreased from 6 in July 2024 to 5 in July 2025, a 16.7% decrease. There were no fatal crashes reported in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-07-01 through 2025-07-31 (31 days)
  • Geographic scope: CONCORD, MA
  • Total crash records analyzed: 34
  • Total persons involved: 82
  • Total vehicles involved: 66

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: July 2025." Published June 21, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/concord/july-2025-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 — July 2025 | ThatCarHitMe.com