ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · ANDOVER, MA · 2024
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/2024-annual-report
Yearly Traffic Safety Analysis
1,102 CRASHES IN
ANDOVER, MA
2024
Current total crashes are 1102, a decrease of 4.67% from the 1156 crashes reported in the prior year. The most notable shift was a 50% reduction in total fatalities, from 4 in the prior year to 2 in the current year. Overall, the data indicates a reduction in both crash frequency and severity year-over-year.
1,102
▼ -4.7%was 1,156
Total Crash Events
2
▼ -50.0%was 4
Persons Killed
274
▼ -7.7%was 297
Persons Injured
114
▼ -4.2%was 119
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 31 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash data for the current year shows a downward trend compared to the prior year. Total crashes decreased by 4.67%, from 1156 to 1102. This reduction was accompanied by a significant 50% decrease in total fatalities, dropping from 4 to 2.
114
Hit-and-Run Crashes — 2024
▼ -4.2% vs prior (119)
Hit-and-run crashes decreased from 119 in the prior year to 114 in the current year, a reduction of 5 crashes. The hit-and-run crash rate remained stable at 10.3% of total crashes in both the current and prior years.
Vulnerable Road User Casualties
0
Cyclists Killed
2
Motorists Killed
2
Cyclists Injured
272
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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 Wednesday (207 crashes) in the prior year to Tuesday (195 crashes) in the current year. The peak hour also shifted from 5 PM (96 crashes) in the prior year to 3 PM (94 crashes) in the current year. While peak times moved, the overall distribution of crashes by day of week and hour remained broadly similar.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Fatal crashes decreased from 3 (0.3% of total crashes) in the prior year to 2 (0.2% of total crashes) in the current year. Serious injury crashes increased slightly from 13 (1.1% share) to 15 (1.4% share), while minor injury crashes decreased from 134 (11.6% share) to 120 (10.9% share). The proportion of crashes resulting in no injury remained largely stable, at 77.9% in the prior year and 78.5% in the current year.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
The contributing factor "Followed too closely" decreased by 42 crashes (17.36%), from 242 to 200. Conversely, "Failed to yield right of way" saw a substantial increase of 52 crashes (42.28%), rising from 123 to 175, and becoming the second most frequent factor. "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" experienced a significant reduction of 18 crashes (52.94%), from 34 to 16.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in "Clear" weather conditions decreased from 598 in the prior year to 528 in the current year, while "Clear/Clear" conditions increased from 192 to 279. Crashes on "Wet" road surfaces decreased by 70, from 211 to 141, but "Dry" road surface crashes increased by 16, from 871 to 887. Crashes in "Dark - roadway not lighted" conditions decreased from 166 to 129, while "Daylight" crashes remained relatively stable, decreasing from 773 to 764.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes decreased from 2121 in the prior year to 2057 in the current year. Honda vehicles involved in crashes increased by 60 (17.8%), from 337 to 397, while Ford vehicles decreased by 44 (19.6%), from 224 to 180. The 65+ age group saw an increase of 37 persons involved in crashes, rising from 219 to 256, while the 35-44 age group decreased by 103 persons, from 549 to 446.
Top Vehicle Makes (2,057 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
208 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,209 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in the 65 mph speed limit zone decreased by 48, from 436 to 388, though the number of fatal crashes in this zone remained 2 in both years, leading to an increase in the fatal crash percentage from 0.459% to 0.515%. Crashes in the 25 mph zone increased by 52, from 151 to 203, while crashes in the 30 mph zone decreased by 33, from 175 to 142. No fatalities were recorded in speed zones below 65 mph in either period.
Fatal crashes by zone: 65 mph: 2 of 388 (0.515%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: ANDOVER, MA
- Total crash records analyzed: 1,102
- Total persons involved: 2,508
- Total vehicles involved: 2,057
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: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/andover/2024-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: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved