Yearly Traffic Safety Analysis

1,156 CRASHES IN
ANDOVER, MA
2023

All metrics benchmarked against2022

The city of ANDOVER experienced a 10.73% increase in total crashes from 1044 in 2022 to 1156 in 2023. Concurrently, total injuries rose by 20.24%, from 247 to 297. A notable shift was observed in DUI-related crashes, which increased by 70% year-over-year.

1,156

▲ 10.7%was 1,044

Total Crash Events

Persons Killed

297

▲ 20.2%was 247

Persons Injured

119

▲ 24.0%was 96

Hit-and-Run Crashes

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 29 crashes with unreported severity are not shown in the severity breakdown.

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 crash trends in ANDOVER show an increase, with total crashes rising by 10.73% from 1044 in 2022 to 1156 in 2023. While total fatalities remained stable at 4 in both years, the number of injured persons increased by 20.24%, from 247 in 2022 to 297 in 2023.

119

Hit-and-Run Crashes — 2023

▲ 24.0% vs prior (96)

The number of hit-and-run crashes increased by 23.96%, rising from 96 in 2022 to 119 in 2023. The hit-and-run rate also saw an increase, moving from 9.2% of all crashes in 2022 to 10.3% in 2023, indicating an upward trend.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 1→0.0%

Cyclists Killed

Prior: 0→0.0%

Motorists Killed

Prior: 3→0.0%

Pedestrians Injured

Prior: 9↓-44.4%

Cyclists Injured

Prior: 0→%

290

Motorists Injured

Prior: 238↑21.8%

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

The peak day for crashes shifted from Friday in 2022, with 174 crashes, to Wednesday in 2023, which recorded 207 crashes. The peak hour for crashes also changed, moving from 3 PM in 2022 (106 crashes) to 5 PM in 2023 (96 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

The overall fatal crash rate decreased from 0.38% in 2022 to 0.26% in 2023, with the number of fatal crashes dropping from 4 to 3. However, serious injuries (A) more than doubled, increasing by 116.67% from 6 in 2022 to 13 in 2023. Minor injuries (B) saw a slight increase of 3.08%, while possible injuries (C) rose by 30.51%.

Severity is per crash event (most severe injury). 3 fatal crash events resulted in 4 persons killed.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.3%

↓-25.0%prior 4

Serious Injury13serious injury crashes1.1%

↑116.7%prior 6

Minor Injury134minor injury crashes11.6%

↑3.1%prior 130

Possible Injury77possible injury crashes6.7%

↑30.5%prior 59

No Injury900no injury crashes77.9%

↑17.8%prior 764

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

Several contributing factors saw significant increases in crash counts year-over-year. Crashes attributed to 'Followed too closely' increased by 53 incidents (28.04%), rising from 189 in 2022 to 242 in 2023. 'Failure to keep in proper lane or running off road' nearly doubled, increasing by 46 incidents (97.87%) from 47 to 93, and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' rose by 15 incidents (78.95%) from 19 to 34.

Officer-Reported Primary Contributing Cause

Followed too closely242 (20.9%)↑28.0%prior 189

No improper driving182 (15.7%)↓-12.1%prior 207

Inattention142 (12.3%)↓-2.7%prior 146

Failed to yield right of way123 (10.6%)↑10.8%prior 111

Failure to keep in proper lane or running off road93 (8%)↑97.9%prior 47

Driving too fast for conditions57 (4.9%)↑39.0%prior 41

Operating vehicle in erratic, reckless, careless, negligent or aggressive manner34 (2.9%)↑78.9%prior 19

Other improper action31 (2.7%)↓-3.1%prior 32

Exceeded authorized speed limit29 (2.5%)↑93.3%prior 15

Made an improper turn25 (2.2%)↑19.0%prior 21

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

Crashes occurring in 'Daylight' conditions increased by 61 incidents, from 712 in 2022 to 773 in 2023. Incidents on 'Wet' road surfaces saw a 46.53% increase, rising by 67 from 144 to 211. Conversely, crashes on 'Ice' decreased significantly by 24 incidents, dropping from 29 in 2022 to 5 in 2023.

Weather

Clear598 (52.0%)

↓-8.3%prior 652

Clear/Clear192 (16.7%)

↑156.0%prior 75

Cloudy122 (10.6%)

↑41.9%prior 86

Rain78 (6.8%)

↑27.9%prior 61

Cloudy/Rain35 (3.0%)

↑150.0%prior 14

Snow23 (2.0%)

↓-17.9%prior 28

Cloudy/Cloudy15 (1.3%)

↑87.5%prior 8

Rain/Rain13 (1.1%)

↑85.7%prior 7

Rain/Cloudy13 (1.1%)

↓-27.8%prior 18

Snow/Snow8 (0.7%)

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

Lighting

Daylight773 (67.2%)

↑8.6%prior 712

Dark - roadway not lighted166 (14.4%)

↑30.7%prior 127

Dark - lighted roadway132 (11.5%)

↑1.5%prior 130

Dusk34 (3.0%)

↑17.2%prior 29

Dawn33 (2.9%)

↑3.1%prior 32

Dark - unknown roadway lighting11 (1.0%)

↑37.5%prior 8

Other1 (0.1%)

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

Road Surface

Dry871 (76.3%)

↑6.1%prior 821

Wet211 (18.5%)

↑46.5%prior 144

Snow41 (3.6%)

↑7.9%prior 38

Slush7 (0.6%)

→0.0%prior 7

Ice5 (0.4%)

↓-82.8%prior 29

Water (standing, moving)4 (0.4%)

Sand, mud, dirt, oil, gravel2 (0.2%)

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

Vehicles & Demographics

The total number of vehicles involved in crashes increased by 8.77%, from 1950 in 2022 to 2121 in 2023. The 35-44 age group experienced the largest increase in persons involved in crashes, rising by 42.23% from 386 to 549. Both male and female persons involved in crashes increased, with male involvement up by 14.35% and female involvement up by 16.09%.

Top Vehicle Makes (2,121 vehicles)

HONDA337 (15.9%)

↑8.4%prior 311

TOYOTA300 (14.1%)

↑2.0%prior 294

FORD224 (10.6%)

↑28.0%prior 175

CHEVROLET146 (6.9%)

↑4.3%prior 140

NISSAN106 (5%)

↓-0.9%prior 107

SUBARU89 (4.2%)

↑6.0%prior 84

JEEP73 (3.4%)

↓-18.9%prior 90

BMW68 (3.2%)

↑94.3%prior 35

ACURA55 (2.6%)

↑37.5%prior 40

HYUNDAI54 (2.5%)

↑1.9%prior 53

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

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

Sex Distribution (2,378 persons with recorded sex)

Male1,331 (56.0%)

↑14.3%prior 1,164

Female1,046 (44.0%)

↑16.1%prior 901

X / Unspecified1 (0.0%)

→0.0%prior 1

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 occurring in the 65 mph speed zone increased by 14.14%, from 382 in 2022 to 436 in 2023, while fatalities in this zone decreased from 3 to 2. Conversely, crashes in the 30 mph speed zone decreased by 27.08%, dropping from 240 to 175, and the single fatality recorded in this zone in 2022 was not present in 2023. The highest number of crashes shifted from the 30 mph zone in 2022 to the 65 mph zone in 2023.

Fatal crashes by zone: 65 mph: 2 of 436 (0.459%)

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: ANDOVER, MA
Total crash records analyzed: 1,156
Total persons involved: 2,632
Total vehicles involved: 2,121

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: 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/andover/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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1,156 CRASHES INANDOVER, MA2023