Yearly Traffic Safety Analysis

28 CRASHES IN
HARDWICK, MA
2023

All metrics benchmarked against2022

In 2023, Hardwick recorded 28 total traffic crashes, a 24.3% decrease from the 37 crashes reported in 2022. There were no fatalities in either period. The most notable year-over-year shift was this overall reduction in crash frequency, with total injuries also declining from 12 to 10.

28

-24.3%was 37

Total Crash Events

0

Persons Killed

10

-16.7%was 12

Persons Injured

0

-100.0%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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, traffic crashes in Hardwick saw a significant downward trend year-over-year. The total number of crashes decreased by 24.3%, falling from 37 in 2022 to 28 in 2023. This trend extended to crash outcomes, with total injuries declining by 16.7% over the same period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

10

Motorists Injured

Prior: 12-16.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Temporal crash patterns shifted between the two periods. In 2022, the peak day for crashes was a tie between Sunday, Tuesday, and Friday (7 crashes each), with the peak hour occurring at 9 a.m. (5 crashes). In 2023, the peak was more distributed, with Sunday, Monday, and Tuesday each recording 5 crashes, and peak hours shifting to the afternoon and evening, with 1 p.m., 3 p.m., 4 p.m., and 7 p.m. each seeing 3 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity saw a notable change, with the elimination of serious injuries in 2023. While 2022 recorded one crash with a serious injury, 2023 reported none. The proportion of crashes resulting in minor injuries increased from a share of 18.9% in 2022 to 35.7% in 2023, even as the total number of crashes and injured persons decreased. The fatal crash rate remained at zero for both years.

Outcome by Severity (Crash Events)

Minor Injury10minor injury crashes35.7%
42.9%prior 7
No Injury18no injury crashes64.3%
-33.3%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor in both years was 'No improper driving,' accounting for 11 crashes in 2023 and 14 in 2022. Significant reductions were seen in several driver-related factors; crashes attributed to 'Inattention' decreased in count from 6 to 3, and those involving 'Operating vehicle in erratic... manner' fell from 4 to 2. 'Driving too fast for conditions' was cited in 2 crashes in 2023 but was not listed as a primary factor in the 2022 data.

Officer-Reported Primary Contributing Cause

No improper driving11 (39.3%)-21.4%prior 14
Inattention3 (10.7%)-50.0%prior 6
Driving too fast for conditions2 (7.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (7.1%)
Disregarded traffic signs, signals, road markings1 (3.6%)
Failed to yield right of way1 (3.6%)
Fatigued/asleep1 (3.6%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.6%)
Wrong side or wrong way1 (3.6%)
Followed too closely1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in adverse weather increased notably in 2023. While crashes in 'Clear' conditions dropped from representing 83.8% of the total in 2022 to 50% in 2023, the share of crashes involving 'Cloudy' or 'Snow' conditions rose. Similarly, the percentage of incidents on non-dry road surfaces grew from 18.9% in 2022 to 25% in 2023. The distribution of crashes by lighting conditions remained relatively stable, with daylight crashes accounting for 67.9% in 2023 compared to 62.2% in 2022.

Weather

Clear14 (50.0%)
-54.8%prior 31
Cloudy9 (32.1%)
Snow3 (10.7%)
Sleet, hail (freezing rain or drizzle)1 (3.6%)
Snow/Sleet, hail (freezing rain or drizzle)1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight19 (67.9%)
-17.4%prior 23
Dark - roadway not lighted5 (17.9%)
-37.5%prior 8
Dawn2 (7.1%)
Dusk2 (7.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry21 (75.0%)
-30.0%prior 30
Snow2 (7.1%)
Wet2 (7.1%)
Ice1 (3.6%)
Sand, mud, dirt, oil, gravel1 (3.6%)
Slush1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (40 vehicles)

1
FORD8 (20%)
-11.1%prior 9
2
HYUNDAI4 (10%)
3
SUBARU4 (10%)
-20.0%prior 5
4
TOYOTA3 (7.5%)
-50.0%prior 6
5
NISSAN3 (7.5%)
6
CHEVROLET2 (5%)
7
GMC2 (5%)
8
JAGU1 (2.5%)
9
JEEP1 (2.5%)
10
MACK1 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (46 persons with recorded sex)

Male28 (60.9%)
-26.3%prior 38
Female18 (39.1%)
-30.8%prior 26

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 40 mph speed zone were the most numerous in both periods, holding steady at 13 incidents year-over-year; however, this represented a larger share of the total, growing from 36.1% in 2022 to 46.4% in 2023. Reductions were observed in other common zones, with crashes in 35 mph zones falling from 8 to 5 and in 45 mph zones from 7 to 4. There were no fatal crashes recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: HARDWICK, MA
  • Total crash records analyzed: 28
  • Total persons involved: 47
  • Total vehicles involved: 40

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). "HARDWICK, MA Crash Intelligence Report: 2023." Published June 21, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/hardwick/2023-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

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Hardwick, MA Crash Report — 2023 | ThatCarHitMe.com