Monthly Traffic Safety Analysis

114 CRASHES IN
WALTHAM, MA
JUNE 2022

All metrics benchmarked againstJune 2021

In Waltham, MA, total crashes decreased by 19.7%, from 142 in June 2021 to 114 in June 2022. This period also saw a significant 42.4% reduction in total injuries, decreasing from 33 to 19. However, hit-and-run incidents increased by 23.1% year-over-year.

114

-19.7%was 142

Total Crash Events

0

Persons Killed

19

-42.4%was 33

Persons Injured

32

23.1%was 26

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for Waltham, MA, shows a downward trend in June year-over-year, with total crashes decreasing by 19.7%, from 142 in June 2021 to 114 in June 2022. Total injuries also saw a substantial reduction, dropping by 42.4% from 33 to 19 during the same period.

32

Hit-and-Run Crashes — June 2022

23.1% vs prior (26)

Hit-and-run crashes increased from 26 in June 2021 to 32 in June 2022, marking an increase of 6 incidents. The hit-and-run rate also rose from 18.3% of all crashes in June 2021 to 28.1% in June 2022, indicating an upward trend.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

3

Pedestrians Injured

Prior: 1200.0%

1

Cyclists Injured

Prior: 2-50.0%

15

Motorists Injured

Prior: 30-50.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · 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, with 28 incidents in June 2021, to Tuesday, with 22 incidents in June 2022. The peak crash hour also changed, moving from 5 p.m. with 18 crashes in June 2021 to 3 p.m. with 12 crashes in June 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both June 2021 and June 2022. While total injuries decreased by 42.4% (from 33 to 19), the number of serious injuries (code A) remained constant at 11 in both periods. Possible injuries (code C) saw a notable decrease from 13 in June 2021 to 4 in June 2022.

Outcome by Severity (Crash Events)

Serious Injury11serious injury crashes9.6%
0.0%prior 11
Minor Injury3minor injury crashes2.6%
0.0%prior 3
Possible Injury4possible injury crashes3.5%
-69.2%prior 13
No Injury76no injury crashes66.7%
-24.8%prior 101

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Most severe injury per crash record

Top Contributing Factors

Several contributing factors saw decreases in crash counts year-over-year; 'Inattention' and 'Failed to yield right of way' both decreased by 9 crashes each, from 29 to 20 and 18 to 9 respectively. Conversely, 'Failure to keep in proper lane or running off road' increased by 5 crashes, from 1 in June 2021 to 6 in June 2022. 'No improper driving' decreased by 5 crashes, from 26 to 21.

Officer-Reported Primary Contributing Cause

No improper driving21 (18.4%)-19.2%prior 26
Inattention20 (17.5%)-31.0%prior 29
Failed to yield right of way9 (7.9%)-50.0%prior 18
Failure to keep in proper lane or running off road6 (5.3%)
Followed too closely5 (4.4%)-54.5%prior 11
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (3.5%)-33.3%prior 6
Distracted3 (2.6%)
Made an improper turn2 (1.8%)
Disregarded traffic signs, signals, road markings2 (1.8%)
Over-correcting/over-steering2 (1.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased from 111 in June 2021 to 93 in June 2022. Similarly, incidents during daylight hours decreased from 110 to 88 year-over-year. Crashes on dry road surfaces also saw a reduction, from 127 in June 2021 to 103 in June 2022.

Weather

Clear93 (83.0%)
-16.2%prior 111
Cloudy10 (8.9%)
-41.2%prior 17
Rain4 (3.6%)
Clear/Clear2 (1.8%)
Clear/Cloudy1 (0.9%)
Clear/Unknown1 (0.9%)
Rain/Cloudy1 (0.9%)
-80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Weather condition at time of crash

Lighting

Daylight88 (80.0%)
-20.0%prior 110
Dark - lighted roadway14 (12.7%)
-33.3%prior 21
Dark - roadway not lighted3 (2.7%)
Dawn2 (1.8%)
Dusk2 (1.8%)
Dark - unknown roadway lighting1 (0.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Lighting condition field

Road Surface

Dry103 (92.0%)
-18.9%prior 127
Wet9 (8.0%)
-30.8%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Road surface condition field

Vehicles & Demographics

The number of persons involved in crashes decreased across most age groups, with the largest drops observed in the 21-25 age group (from 37 to 18) and the 16-20 age group (from 33 to 19). Toyota, Honda, and Ford remained the top three vehicle makes involved in crashes, though their counts decreased by 10, 7, and 7 respectively.

Top Vehicle Makes (222 vehicles)

1
TOYOTA28 (12.6%)
-26.3%prior 38
2
HONDA22 (9.9%)
-24.1%prior 29
3
FORD20 (9%)
-25.9%prior 27
4
CHEVROLET7 (3.2%)
-30.0%prior 10
5
NISSAN7 (3.2%)
-41.7%prior 12
6
SUBARU6 (2.7%)
-50.0%prior 12
7
GMC6 (2.7%)
8
AUDI6 (2.7%)
9
JEEP6 (2.7%)
20.0%prior 5
10
LEXUS5 (2.3%)
0.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Vehicle unit records

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

Sex Distribution (197 persons with recorded sex)

Male117 (59.4%)
-32.8%prior 174
Female80 (40.6%)
-20.8%prior 101

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Person-level records linked to crash events

Speed Limit Zones

All speed zones recorded 0 fatalities in both June 2021 and June 2022. Crashes in the 30 mph speed zone decreased from 103 to 73, and in the 55 mph zone from 11 to 8. The 10 mph zone experienced a slight increase in crashes, from 9 to 11.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · 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: 2022-06-01 through 2022-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-06-01 through 2022-06-30 (30 days)
  • Geographic scope: WALTHAM, MA
  • Total crash records analyzed: 114
  • Total persons involved: 263
  • Total vehicles involved: 222

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). "WALTHAM, MA Crash Intelligence Report: June 2022." Published June 21, 2026. Reporting period: 2022-06-01 to 2022-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/waltham/june-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

ThatCarHitMe.com · An Injuria.ai Company

Waltham, MA Crash Report — June 2022 | ThatCarHitMe.com