Monthly Traffic Safety Analysis

44 CRASHES IN
NEEDHAM, MA
MARCH 2024

All metrics benchmarked againstMarch 2023

In March 2024, Needham experienced 44 total crashes, an increase from 39 crashes in March 2023, representing a 12.8% rise year-over-year. Despite the increase in total crashes, the number of total injuries decreased significantly from 11 in March 2023 to 6 in March 2024, a reduction of 45.5%. Fatalities remained at zero in both periods.

44

12.8%was 39

Total Crash Events

0

Persons Killed

6

-45.5%was 11

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 · 2024-03-01 to 2024-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Total crashes in Needham showed an upward trend year-over-year, increasing by 5 crashes from 39 in March 2023 to 44 in March 2024. This represents a 12.8% increase in overall crash incidents. Conversely, total injuries decreased by 45.5% from 11 to 6.

3

Hit-and-Run Crashes — March 2024

50.0% vs prior (2)

Hit-and-run crashes increased from 2 in March 2023 to 3 in March 2024, representing a 50% increase. The hit-and-run rate also rose from 5.1% of total crashes in the prior period to 6.8% in the current period, indicating an upward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

6

Motorists Injured

Prior: 10-40.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · 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 Wednesday with 11 crashes in March 2023 to Saturday with 9 crashes in March 2024. The peak hour for crashes also shifted, moving from 1 PM with 7 crashes in the prior period to 2 PM with 6 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both March 2023 and March 2024. The proportion of crashes resulting in minor injuries decreased from 17.9% (7 crashes) in the prior period to 4.5% (2 crashes) in the current period. Crashes with no injuries increased from 76.9% (30 crashes) to 86.4% (38 crashes) year-over-year.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes4.5%
-71.4%prior 7
Possible Injury3possible injury crashes6.8%
50.0%prior 2
No Injury38no injury crashes86.4%
26.7%prior 30

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Failed to yield right of way' remained constant at 9 crashes in both periods. 'Followed too closely' crashes doubled from 3 in March 2023 to 6 in March 2024, a 100% increase in count. Conversely, crashes attributed to 'No improper driving' decreased from 7 to 3, a 57.1% reduction in count.

Officer-Reported Primary Contributing Cause

Failed to yield right of way9 (20.5%)0.0%prior 9
Followed too closely6 (13.6%)
Inattention4 (9.1%)
No improper driving3 (6.8%)-57.1%prior 7
Other improper action3 (6.8%)
Disregarded traffic signs, signals, road markings3 (6.8%)
Exceeded authorized speed limit2 (4.5%)
Failure to keep in proper lane or running off road2 (4.5%)
Visibility obstructed1 (2.3%)
Operating defective equipment1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased slightly from 27 to 29 year-over-year. A notable shift was observed in road surface conditions, with crashes on wet roads increasing from 5 in March 2023 to 14 in March 2024, a 180% increase. Crashes during daylight hours increased from 32 to 33.

Weather

Clear29 (65.9%)
7.4%prior 27
Rain9 (20.5%)
Cloudy/Rain3 (6.8%)
Cloudy2 (4.5%)
-60.0%prior 5
Rain/Cloudy1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Weather condition at time of crash

Lighting

Daylight33 (75.0%)
3.1%prior 32
Dark - lighted roadway5 (11.4%)
Dark - roadway not lighted4 (9.1%)
Dawn1 (2.3%)
Dusk1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Lighting condition field

Road Surface

Dry30 (68.2%)
0.0%prior 30
Wet14 (31.8%)
180.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Road surface condition field

Vehicles & Demographics

Toyota remained the most frequently involved vehicle make, with its count increasing from 15 in March 2023 to 21 in March 2024, a 40% rise. Honda and Ford also saw increases in their crash involvement, with Honda rising from 7 to 8 and Ford from 6 to 8. Chevrolet entered the top 5 vehicle makes in the current period with 5 vehicles involved.

Top Vehicle Makes (84 vehicles)

1
TOYOTA21 (25%)
40.0%prior 15
2
HONDA8 (9.5%)
14.3%prior 7
3
FORD8 (9.5%)
33.3%prior 6
4
JEEP7 (8.3%)
16.7%prior 6
5
CHEVROLET5 (6%)
6
HYUNDAI4 (4.8%)
7
SUBARU3 (3.6%)
8
BMW2 (2.4%)
9
NISSAN2 (2.4%)
10
MAZDA2 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Vehicle unit records

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

Sex Distribution (86 persons with recorded sex)

Male55 (64.0%)
7.8%prior 51
Female31 (36.0%)
24.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone decreased from 26 in March 2023 to 23 in March 2024. Conversely, crashes in the 55 mph speed zone increased from 5 to 9, an 80% rise year-over-year. Crashes in the 25 mph zone also saw a significant increase, rising from 1 to 4, a 300% increase.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · 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: 2024-03-01 through 2024-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-03-01 through 2024-03-31 (31 days)
  • Geographic scope: NEEDHAM, MA
  • Total crash records analyzed: 44
  • Total persons involved: 95
  • Total vehicles involved: 84

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). "NEEDHAM, MA Crash Intelligence Report: March 2024." Published June 21, 2026. Reporting period: 2024-03-01 to 2024-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/needham/march-2024-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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Needham, MA Crash Report — March 2024 | ThatCarHitMe.com