Monthly Traffic Safety Analysis

76 CRASHES IN
ANDOVER, MA
JULY 2022

All metrics benchmarked againstJuly 2021

In July 2022, Andover experienced 76 crashes, an 8.43% decrease compared to the 83 crashes recorded in July 2021. The most notable year-over-year shift was the increase in fatalities, with 1 fatality reported in July 2022 compared to 0 in the prior year. Total injuries also saw a decrease, falling from 22 to 17.

76

-8.4%was 83

Total Crash Events

1

Persons Killed

17

-22.7%was 22

Persons Injured

5

25.0%was 4

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 6 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a decrease in total crashes, falling from 83 in July 2021 to 76 in July 2022, representing an 8.43% reduction. Despite this decline in total incidents, there was a significant increase in crash severity, with one fatal crash occurring in the current period.

5

Hit-and-Run Crashes — July 2022

25.0% vs prior (4)

Hit-and-run crashes increased from 4 incidents in July 2021 to 5 in July 2022. Consequently, the hit-and-run rate rose from 4.8% to 6.6% year-over-year, indicating an upward trend.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

1

Motorists Killed

Prior: 0%

1

Pedestrians Injured

Prior: 0%

16

Motorists Injured

Prior: 22-27.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Friday remained the peak day for crashes in both periods, with 13 crashes in July 2022 and 20 in July 2021. The peak crash hour shifted from 2 PM in July 2021 (11 crashes) to 4 PM in July 2022 (11 crashes).

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The current period saw 1 fatal crash, resulting in a fatal rate of 1.32%, compared to 0 fatal crashes in the prior period. Total injuries decreased from 22 in July 2021 to 17 in July 2022. Minor injury crashes increased from 9 (10.8% share) to 12 (15.8% share), while possible injury crashes decreased from 8 (9.6% share) to 4 (5.3% share).

Outcome by Severity (Crash Events)

Fatal1fatal crashes1.3%
Minor Injury12minor injury crashes15.8%
33.3%prior 9
Possible Injury4possible injury crashes5.3%
-50.0%prior 8
No Injury53no injury crashes69.7%
-18.5%prior 65

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Inattention' increased by 6, from 9 in July 2021 to 15 in July 2022. Similarly, 'Failed to yield right of way' crashes increased by 5, from 6 to 11. Conversely, crashes with 'No improper driving' decreased by 6, from 16 to 10, and 'Driving too fast for conditions' also decreased by 6, from 7 to 1.

Officer-Reported Primary Contributing Cause

Followed too closely16 (21.1%)0.0%prior 16
Inattention15 (19.7%)66.7%prior 9
Failed to yield right of way11 (14.5%)83.3%prior 6
No improper driving10 (13.2%)-37.5%prior 16
Failure to keep in proper lane or running off road3 (3.9%)
Other improper action3 (3.9%)-66.7%prior 9
Exceeded authorized speed limit2 (2.6%)
Made an improper turn2 (2.6%)
Disregarded traffic signs, signals, road markings2 (2.6%)
Fatigued/asleep2 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring on wet road surfaces decreased significantly from 24 in July 2021 to 6 in July 2022. Crashes in 'Clear' weather conditions increased from 39 to 55, while those in 'Rain' conditions decreased from 15 to 1. Crashes occurring in 'Dark - roadway not lighted' conditions also saw a decrease, from 9 to 3.

Weather

Clear55 (75.3%)
41.0%prior 39
Clear/Clear10 (13.7%)
100.0%prior 5
Rain/Cloudy2 (2.7%)
Cloudy2 (2.7%)
-86.7%prior 15
Cloudy/Rain2 (2.7%)
-60.0%prior 5
Rain1 (1.4%)
-93.3%prior 15
Cloudy/Cloudy1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Weather condition at time of crash

Lighting

Daylight67 (88.2%)
4.7%prior 64
Dark - lighted roadway4 (5.3%)
-50.0%prior 8
Dark - roadway not lighted3 (3.9%)
-66.7%prior 9
Dawn1 (1.3%)
Dusk1 (1.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Lighting condition field

Road Surface

Dry70 (92.1%)
18.6%prior 59
Wet6 (7.9%)
-75.0%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes slightly decreased from 145 in July 2021 to 141 in July 2022. Honda vehicles involved in crashes decreased from 29 to 15, while Toyota remained stable at 21. Jeep vehicles involved in crashes saw a notable increase from 3 to 12.

Top Vehicle Makes (141 vehicles)

1
TOYOTA21 (14.9%)
0.0%prior 21
2
HONDA15 (10.6%)
-48.3%prior 29
3
JEEP12 (8.5%)
4
CHEVROLET12 (8.5%)
33.3%prior 9
5
FORD11 (7.8%)
-35.3%prior 17
6
NISSAN8 (5.7%)
7
VOLKSWAGEN6 (4.3%)
8
SUBARU6 (4.3%)
-14.3%prior 7
9
HYUNDAI6 (4.3%)
20.0%prior 5
10
VOLVO4 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Vehicle unit records

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

Sex Distribution (157 persons with recorded sex)

Male89 (56.7%)
-12.7%prior 102
Female68 (43.3%)
21.4%prior 56

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 65 mph speed zones decreased from 44 in July 2021 to 28 in July 2022. A fatal crash was recorded in a 65 mph zone in July 2022, which was not observed in the prior period. Crashes in the 30 mph zone remained consistent at 16 in both periods.

Fatal crashes by zone: 65 mph: 1 of 28 (3.571%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · 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: 2022-07-01 through 2022-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-07-01 through 2022-07-31 (31 days)
  • Geographic scope: ANDOVER, MA
  • Total crash records analyzed: 76
  • Total persons involved: 177
  • Total vehicles involved: 141

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). "ANDOVER, MA Crash Intelligence Report: July 2022." Published June 21, 2026. Reporting period: 2022-07-01 to 2022-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/andover/july-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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Andover, MA Crash Report — July 2022 | ThatCarHitMe.com