ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · ANDOVER, MA · 2022
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/andover/2022-annual-report
Yearly Traffic Safety Analysis
1,044 CRASHES IN
ANDOVER, MA
2022
ANDOVER experienced a notable increase in total crashes in 2022, with 1,044 crashes compared to 924 in 2021, representing a 12.99% rise. The most significant year-over-year shift was in hit-and-run incidents, which increased by 68.42%.
1,044
▲ 13.0%was 924
Total Crash Events
4
▲ 33.3%was 3
Persons Killed
247
▲ 4.7%was 236
Persons Injured
96
▲ 68.4%was 57
Hit-and-Run Crashes
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 81 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash data for ANDOVER indicates an upward trend year-over-year. Total crashes increased by 120 (12.99%), while total fatalities rose from 3 in 2021 to 4 in 2022, a 33.33% increase. Injuries also saw an increase, with 247 reported in 2022 compared to 236 in 2021, a 4.66% rise.
96
Hit-and-Run Crashes — 2022
▲ 68.4% vs prior (57)
Hit-and-run crashes increased substantially from 57 in 2021 to 96 in 2022, a 68.42% rise in count. Correspondingly, the hit-and-run rate increased from 6.2% of all crashes in 2021 to 9.2% in 2022, indicating an upward trend.
Vulnerable Road User Casualties
1
Pedestrians Killed
3
Motorists Killed
9
Pedestrians Injured
238
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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 Thursday in 2021 (162 crashes) to Friday in 2022 (174 crashes). The peak hour for crashes remained consistent at 3 PM, with 106 crashes in 2022 compared to 93 in 2021. Monthly crash counts show an increase in November, rising from 90 crashes in 2021 to 123 in 2022.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The fatal crash rate increased from 0.32% in 2021 to 0.38% in 2022, corresponding to an increase of one fatality. Serious injury crashes (severity 'A') decreased from 15 (1.6% share) in 2021 to 6 (0.6% share) in 2022, while minor injury crashes (severity 'B') increased from 105 (11.4% share) to 130 (12.5% share).
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Top Contributing Factors
Among contributing factors, 'No improper driving' increased by 34 crashes (19.65% change in count) and 'Followed too closely' increased by 28 crashes (17.39% change in count). 'Failed to yield right of way' saw a substantial increase of 40 crashes (56.34% change in count), rising from 71 in 2021 to 111 in 2022. Conversely, 'Driving too fast for conditions' decreased by 18 crashes (-30.51% change in count), and 'Exceeded authorized speed limit' decreased by 7 crashes (-31.82% change in count).
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in 'Clear' weather conditions increased by 160 (32.52% change in count), from 492 in 2021 to 652 in 2022. Crashes during 'Snow' conditions saw a significant increase of 16 incidents (133.33% change in count), rising from 12 to 28. Crashes on 'Wet' road surfaces decreased by 39 (21.31% change in count), while those on 'Dry' surfaces increased by 133 (19.33% change in count).
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes increased by 275 (16.42%) from 1,675 in 2021 to 1,950 in 2022. Honda remained the most frequently involved vehicle make, with 311 incidents in 2022 compared to 290 in 2021. The 26-34 age group continued to represent the largest share of persons involved in crashes, increasing from 385 in 2021 to 447 in 2022.
Top Vehicle Makes (1,950 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
176 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,066 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in 30 mph speed zones increased from 203 in 2021 to 240 in 2022, and this zone recorded 1 fatal crash in 2022 compared to 0 in 2021. The 65 mph speed zone, which had 3 fatal crashes in both years, saw a decrease in total crashes from 404 in 2021 to 382 in 2022. The fatal rate in the 65 mph zone increased slightly from 0.743% to 0.785%.
Fatal crashes by zone: 30 mph: 1 of 240 (0.417%) · 65 mph: 3 of 382 (0.785%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: ANDOVER, MA
- Total crash records analyzed: 1,044
- Total persons involved: 2,351
- Total vehicles involved: 1,950
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: 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/andover/2022-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2022-01-01 – 2022-12-31
Generated: June 21, 2026 · All rights reserved