Monthly Traffic Safety Analysis

31 CRASHES IN
TYNGSBOROUGH, MA
AUGUST 2022

All metrics benchmarked againstAugust 2021

Total crashes in TYNGSBOROUGH increased from 20 in August 2021 to 31 in August 2022, representing a 55% rise year-over-year. The most notable shift was a 180% increase in total injuries, rising from 5 to 14.

31

55.0%was 20

Total Crash Events

0

Persons Killed

14

180.0%was 5

Persons Injured

3

200.0%was 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.

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 incidents in TYNGSBOROUGH show an upward trend, with total crashes increasing by 55% from 20 in August 2021 to 31 in August 2022. This period also saw a significant 180% increase in total injuries, from 5 to 14.

3

Hit-and-Run Crashes — August 2022

200.0% vs prior (1)

Hit-and-run crashes increased from 1 in August 2021 to 3 in August 2022. Correspondingly, the hit-and-run crash rate rose from 5% of all crashes in August 2021 to 9.7% in August 2022, indicating an upward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

14

Motorists Injured

Prior: 5180.0%

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 from Tuesday with 6 crashes in August 2021 to Saturday with 7 crashes in August 2022. While the peak hour remained 4p in August 2021 with 4 crashes, August 2022 saw the peak hour shift to 8p, also with 4 crashes. Crashes on Saturday increased from 3 to 7, and crashes on Sunday increased from 3 to 6.

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

Both August 2021 and August 2022 recorded no fatalities or fatal crashes. However, total injuries increased substantially from 5 in August 2021 to 14 in August 2022, a 180% increase. The number of serious injury crashes remained constant at 1, while minor injury crashes increased from 2 to 6, and possible injury crashes increased from 1 to 2.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.2%
0.0%prior 1
Minor Injury6minor injury crashes19.4%
200.0%prior 2
Possible Injury2possible injury crashes6.5%
100.0%prior 1
No Injury22no injury crashes71%
37.5%prior 16

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

Among contributing factors, "Inattention" crashes increased by 60%, rising from 5 in August 2021 to 8 in August 2022. Crashes attributed to "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" saw a substantial increase from 1 to 5, a 400% change in count. "No improper driving" also increased, from 6 crashes to 7 crashes.

Officer-Reported Primary Contributing Cause

Inattention8 (25.8%)60.0%prior 5
No improper driving7 (22.6%)16.7%prior 6
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner5 (16.1%)
Failure to keep in proper lane or running off road1 (3.2%)
Failed to yield right of way1 (3.2%)
Exceeded authorized speed limit1 (3.2%)
Driving too fast for conditions1 (3.2%)
Over-correcting/over-steering1 (3.2%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.2%)
Distracted1 (3.2%)

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

Data for weather conditions and road surface conditions were not available for August 2022, preventing a year-over-year comparison for these categories. For lighting conditions, crashes occurring in "Daylight" increased from 16 in August 2021 to 22 in August 2022. Crashes in "Dark - roadway not lighted" also increased from 2 to 5, and "Dark - lighted roadway" crashes increased from 2 to 4.

Lighting

Daylight22 (71.0%)
37.5%prior 16
Dark - roadway not lighted5 (16.1%)
Dark - lighted roadway4 (12.9%)

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

Vehicles & Demographics

Top Vehicle Makes (53 vehicles)

1
TOYOTA11 (20.8%)
57.1%prior 7
2
HONDA11 (20.8%)
37.5%prior 8
3
FORD6 (11.3%)
4
CHEVROLET6 (11.3%)
5
VOLKSWAGEN5 (9.4%)
6
SUBARU2 (3.8%)
7
BUIC2 (3.8%)
8
JEEP1 (1.9%)
9
DODGE1 (1.9%)
10
HYUNDAI1 (1.9%)

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

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

Sex Distribution (56 persons with recorded sex)

Female29 (51.8%)
26.1%prior 23
Male27 (48.2%)
42.1%prior 19

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 in 35 MPH speed zones increased from 8 in August 2021 to 11 in August 2022. Crashes in 30 MPH zones also rose from 3 to 5. There were no fatal crashes reported in any speed limit zone for either period.

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: TYNGSBOROUGH, MA
  • Total crash records analyzed: 31
  • Total persons involved: 66
  • Total vehicles involved: 53

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). "TYNGSBOROUGH, 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/tyngsborough/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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Tyngsborough, MA Crash Report — August 2022 | ThatCarHitMe.com