Monthly Traffic Safety Analysis

36 CRASHES IN
CONCORD, MA
AUGUST 2022

All metrics benchmarked againstAugust 2021

In August 2022, total crashes in CONCORD, MA increased by 5.9% to 36, up from 34 crashes in August 2021. Total injuries also rose by 22.2%, from 9 to 11. The most notable shift was a 300% increase in crashes attributed to 'Distracted' driving, rising from 1 to 4 crashes year-over-year.

36

5.9%was 34

Total Crash Events

0

Persons Killed

11

22.2%was 9

Persons Injured

3

50.0%was 2

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 · 2022-08-01 to 2022-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data indicates a slight upward trend year-over-year, with total crashes increasing from 34 in August 2021 to 36 in August 2022. This 5.9% rise was accompanied by a 22.2% increase in total injuries, from 9 to 11. Fatalities remained at 0 in both periods.

3

Hit-and-Run Crashes — August 2022

50.0% vs prior (2)

Hit-and-run crashes increased from 2 in August 2021 to 3 in August 2022, representing a 50% rise in count. The hit-and-run rate also increased from 5.9% to 8.3% year-over-year.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 2-50.0%

10

Motorists Injured

Prior: 742.9%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · 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 to Tuesday in August 2022, recording 11 crashes compared to 7 crashes on Tuesday in August 2021. The peak hour for crashes moved from 3p and 4p in August 2021 to 2p in August 2022, with both periods experiencing 5 crashes during their respective peak hours. Friday crashes saw a significant increase from 3 to 9, while Monday crashes decreased from 7 to 3.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

No fatal crashes were recorded in either August 2021 or August 2022. The number of minor injuries increased from 5 to 8, and possible injuries rose from 1 to 2 year-over-year. Serious injuries decreased from 1 in August 2021 to 0 in August 2022.

Outcome by Severity (Crash Events)

Minor Injury8minor injury crashes22.2%
60.0%prior 5
Possible Injury2possible injury crashes5.6%
100.0%prior 1
No Injury25no injury crashes69.4%
0.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Distracted' driving saw a 300% increase in count, rising from 1 in August 2021 to 4 in August 2022. 'Followed too closely' increased by 40% from 5 crashes to 7 crashes. Conversely, 'No improper driving' decreased by 25% from 8 crashes to 6 crashes, and 'Inattention' decreased by 14.3% from 7 crashes to 6 crashes.

Officer-Reported Primary Contributing Cause

Followed too closely7 (19.4%)40.0%prior 5
No improper driving6 (16.7%)-25.0%prior 8
Inattention6 (16.7%)-14.3%prior 7
Distracted4 (11.1%)
Failed to yield right of way3 (8.3%)
Failure to keep in proper lane or running off road2 (5.6%)
Fatigued/asleep2 (5.6%)
Physical impairment2 (5.6%)
Made an improper turn1 (2.8%)
Over-correcting/over-steering1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather conditions were associated with 31 crashes in August 2022, a slight decrease from 32 crashes in August 2021. Crashes occurring in daylight increased from 30 to 31 year-over-year. Data for road surface conditions was not available for comparison in August 2021.

Weather

Clear31 (86.1%)
-3.1%prior 32
Cloudy/Rain2 (5.6%)
Rain2 (5.6%)
Cloudy1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Weather condition at time of crash

Lighting

Daylight31 (86.1%)
3.3%prior 30
Dark - lighted roadway2 (5.6%)
Dark - roadway not lighted2 (5.6%)
Dusk1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Lighting condition field

Road Surface

Dry31 (86.1%)
Wet5 (13.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 61 in August 2021 to 65 in August 2022. Toyota remained the most frequently involved make with 13 vehicles in both periods. Ford's involvement increased by 80%, from 5 vehicles to 9 vehicles, while Chevrolet's involvement decreased by 80%, from 5 vehicles to 1 vehicle.

Top Vehicle Makes (65 vehicles)

1
TOYOTA13 (20%)
0.0%prior 13
2
FORD9 (13.8%)
80.0%prior 5
3
HONDA7 (10.8%)
-12.5%prior 8
4
HYUNDAI3 (4.6%)
5
ACURA2 (3.1%)
6
CHRYSLER2 (3.1%)
7
GMC2 (3.1%)
8
JEEP2 (3.1%)
-60.0%prior 5
9
MERCEDES-BENZ2 (3.1%)
10
NISSAN2 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Vehicle unit records

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

Sex Distribution (59 persons with recorded sex)

Female30 (50.8%)
42.9%prior 21
Male29 (49.2%)
-29.3%prior 41

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 25 mph speed zones increased by 125%, from 4 crashes in August 2021 to 9 crashes in August 2022. Conversely, crashes in 45 mph zones decreased by 40%, from 10 crashes to 6 crashes. Crashes in 10 mph zones also saw a 200% increase, rising from 1 crash to 3 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · 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: 2022-08-01 through 2022-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-08-01 through 2022-08-31 (31 days)
  • Geographic scope: CONCORD, MA
  • Total crash records analyzed: 36
  • Total persons involved: 75
  • Total vehicles involved: 65

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: August 2022." Published June 21, 2026. Reporting period: 2022-08-01 to 2022-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/concord/august-2022-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 — August 2022 | ThatCarHitMe.com