Monthly Traffic Safety Analysis

120 CRASHES IN
LAWRENCE, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, LAWRENCE, MA recorded 120 crashes, marking a 12.4% decrease from the 137 crashes reported in July 2022. Total injuries also decreased by 25%, from 52 to 39, year-over-year. A notable shift was the reduction in pedestrian crashes, which decreased from 6 to 2.

120

-12.4%was 137

Total Crash Events

0

Persons Killed

39

-25.0%was 52

Persons Injured

3

-57.1%was 7

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in LAWRENCE, MA showed a downward trend year-over-year, with total crashes decreasing by 12.4% from 137 to 120. Total injuries also saw a significant reduction, falling by 25% from 52 in July 2022 to 39 in July 2023, while fatalities remained at 0 in both periods.

3

Hit-and-Run Crashes — July 2023

-57.1% vs prior (7)

Hit-and-run crashes decreased significantly from 7 in July 2022 to 3 in July 2023. Consequently, the hit-and-run rate decreased from 5.1% to 2.5% year-over-year, indicating a downward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

38

Motorists Injured

Prior: 47-19.1%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Saturday in both periods, with 29 crashes in July 2023 compared to 25 in July 2022. The peak hour for crashes also remained 4 PM, although the number of crashes at this hour slightly decreased from 15 in July 2022 to 14 in July 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both July 2022 and July 2023. Total injuries decreased from 52 to 39 year-over-year. Serious injuries decreased from 4 to 3, minor injuries from 25 to 22, and possible injuries from 8 to 5.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes2.5%
-25.0%prior 4
Minor Injury22minor injury crashes18.3%
-12.0%prior 25
Possible Injury5possible injury crashes4.2%
-37.5%prior 8
No Injury87no injury crashes72.5%
-11.2%prior 98

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'No improper driving' crashes increased slightly from 36 to 37. 'Inattention' crashes saw a substantial decrease from 20 to 8, and 'Failed to yield right of way' crashes decreased from 15 to 9. Crashes involving 'Exceeded authorized speed limit' increased from 0 to 2, and 'Driving too fast for conditions' also increased from 0 to 2.

Officer-Reported Primary Contributing Cause

No improper driving37 (30.8%)2.8%prior 36
Failed to yield right of way9 (7.5%)-40.0%prior 15
Inattention8 (6.7%)-60.0%prior 20
Failure to keep in proper lane or running off road6 (5%)
Followed too closely5 (4.2%)
Disregarded traffic signs, signals, road markings4 (3.3%)
Made an improper turn4 (3.3%)
Other improper action4 (3.3%)
Exceeded authorized speed limit2 (1.7%)
Driving too fast for conditions2 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 121 (combining 'Clear' and 'Clear/Clear') in July 2022 to 87 in July 2023. Crashes during 'Rain' conditions increased from 8 to 16 year-over-year. Notably, crashes on 'Wet' road surfaces more than doubled, increasing from 11 in July 2022 to 23 in July 2023.

Weather

Clear78 (65.0%)
-18.8%prior 96
Rain16 (13.3%)
100.0%prior 8
Cloudy10 (8.3%)
Clear/Clear9 (7.5%)
-64.0%prior 25
Rain/Rain3 (2.5%)
Cloudy/Rain3 (2.5%)
Cloudy/Clear1 (0.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight86 (71.7%)
-14.0%prior 100
Dark - lighted roadway28 (23.3%)
-17.6%prior 34
Dawn3 (2.5%)
Dark - roadway not lighted1 (0.8%)
Dark - unknown roadway lighting1 (0.8%)
Dusk1 (0.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry96 (80.7%)
-23.8%prior 126
Wet23 (19.3%)
109.1%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 280 in July 2022 to 242 in July 2023. HONDA remained the most involved make, though its count decreased from 93 to 80. TOYOTA involvement increased from 31 to 35, while FORD involvement decreased from 27 to 23. In terms of persons involved, the 0-15 age group increased from 20 to 26, while the 35-44 age group decreased from 64 to 49.

Top Vehicle Makes (242 vehicles)

1
HONDA80 (33.1%)
-14.0%prior 93
2
TOYOTA35 (14.5%)
12.9%prior 31
3
FORD23 (9.5%)
-14.8%prior 27
4
ACURA18 (7.4%)
63.6%prior 11
5
MERCEDES-BENZ10 (4.1%)
6
JEEP9 (3.7%)
-43.8%prior 16
7
NISSAN9 (3.7%)
-25.0%prior 12
8
CHEVROLET9 (3.7%)
-40.0%prior 15
9
CHRYSLER4 (1.7%)
10
INFI4 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

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

Sex Distribution (294 persons with recorded sex)

Male171 (58.2%)
-8.6%prior 187
Female123 (41.8%)
-6.1%prior 131

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph speed zones decreased from 116 in July 2022 to 106 in July 2023. Crashes in 25 mph zones decreased from 7 to 4, and in 20 mph zones from 5 to 2. There were no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: LAWRENCE, MA
  • Total crash records analyzed: 120
  • Total persons involved: 399
  • Total vehicles involved: 242

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). "LAWRENCE, MA Crash Intelligence Report: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/lawrence/july-2023-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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Lawrence, MA Crash Report — July 2023 | ThatCarHitMe.com