ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONCORD, MA · 2022
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/concord/2022-annual-report
Yearly Traffic Safety Analysis
357 CRASHES IN
CONCORD, MA
2022
In 2022, Concord recorded 357 total vehicle crashes, a 13.7% increase from the 314 crashes documented in 2021. While there were no fatalities in either period, the number of persons injured rose from 90 to 114. One of the most notable year-over-year changes was a 60% increase in the count of hit-and-run incidents, which grew from 10 to 16.
357
▲ 13.7%was 314
Total Crash Events
0
Persons Killed
114
▲ 26.7%was 90
Persons Injured
16
▲ 60.0%was 10
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. 9 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for Concord indicates an upward trend year-over-year. Total crashes increased by 13.7%, rising from 314 in 2021 to 357 in 2022. Similarly, the number of individuals injured in these incidents grew by 26.7%, from 90 to 114, although no fatalities were reported in either year.
16
Hit-and-Run Crashes — 2022
▲ 60.0% vs prior (10)
The number of hit-and-run crashes in Concord increased by 60% year-over-year, rising from 10 incidents in 2021 to 16 in 2022. This represents an upward trend in the hit-and-run rate, which grew from 3.2% of all crashes in the prior year to 4.5% in the current year. The increase in both the absolute count and the proportional rate indicates a growing trend for this type of incident.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
3
Pedestrians Injured
5
Cyclists Injured
106
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in Concord remained largely consistent, with Tuesday being the peak day and 3 p.m. the peak hour in both 2021 and 2022. In 2022, Tuesday saw 68 crashes and the 3 p.m. hour saw 34, up from 52 and 30 respectively in the prior year. A notable pattern shift occurred in the weekly distribution, as weekday crashes (Monday-Friday) increased from 238 to 292, while weekend crashes (Saturday-Sunday) decreased from 76 to 65.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
There were no fatal crashes in Concord during either 2022 or 2021. The distribution of injury severity shifted, with crashes resulting in minor injuries increasing from 46 in 2021 to 66 in 2022, representing a proportional rise from 14.6% to 18.5% of all crashes. Conversely, crashes involving serious injuries decreased from 4 to 3, and those with possible injuries fell from 25 to 17.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Top Contributing Factors
In 2022, the leading contributing factors were inattention (58 incidents) and following too closely (57 incidents). This marks a shift from 2021, when 'no improper driving' was the most cited factor with 88 incidents, a count that fell to 63 in 2022. The count of crashes attributed to inattention increased by 20.8% from 48 in the prior year, while those related to following too closely rose by 35.7% from 42. Crashes involving failure to keep in the proper lane also saw a significant increase in count, from 10 to 26 incidents.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The majority of crashes in both 2022 and 2021 occurred in clear weather and daylight conditions, with proportions remaining stable year-over-year. In 2022, 73.1% of crashes happened during daylight, compared to 72.9% in 2021. There was a notable shift in road surface conditions, as crashes on wet roads increased from 34 incidents (10.8% of total) in 2021 to 54 incidents (15.1% of total) in 2022.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
Toyota, Honda, and Ford were consistently among the top three vehicle makes involved in crashes in both years, though their order shifted. In 2022, Ford (71 vehicles) surpassed Honda (61 vehicles) for the second-highest involvement, behind Toyota (118 vehicles). An analysis of persons involved shows a notable increase in several age groups between 2021 and 2022; the number of individuals aged 55-64 involved in crashes rose from 77 to 105, and those in the 26-34 age group increased from 105 to 126.
Top Vehicle Makes (654 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
50 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (668 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes occurred across a similar range of speed zones in both 2022 and 2021, with no fatalities recorded in any zone for either period. The most notable change was an increase in crashes within 25 mph zones, which rose from 62 incidents in 2021 to 82 in 2022. The number of crashes in other common speed zones, such as 30 mph (71 to 74) and 45 mph (77 in both years), remained relatively stable.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: CONCORD, MA
- Total crash records analyzed: 357
- Total persons involved: 763
- Total vehicles involved: 654
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: 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/concord/2022-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: 2022-01-01 – 2022-12-31
Generated: June 21, 2026 · All rights reserved