ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · TOPSFIELD, 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/topsfield/2022-annual-report
Yearly Traffic Safety Analysis
100 CRASHES IN
TOPSFIELD, MA
2022
In 2022, Topsfield recorded 100 total crashes, an 11.1% increase from the 90 crashes reported in 2021. The total number of injuries also rose from 32 to 45 during this period. The most significant change was the occurrence of one fatal crash in 2022, whereas no fatalities were recorded in the prior year.
100
▲ 11.1%was 90
Total Crash Events
1
Persons Killed
45
▲ 40.6%was 32
Persons Injured
4
▲ 100.0%was 2
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. 2 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
Crash incidents in Topsfield trended upward year-over-year, increasing from 90 in 2021 to 100 in 2022, an 11.1% rise in total collisions. The number of people injured in these crashes also increased by 40.6%, from 32 individuals in 2021 to 45 in 2022. This indicates a general increase in both the frequency and severity of crashes.
4
Hit-and-Run Crashes — 2022
▲ 100.0% vs prior (2)
The number of hit-and-run crashes doubled, increasing from 2 incidents in 2021 to 4 in 2022. Consequently, the hit-and-run rate, which measures the percentage of total crashes that were hit-and-runs, also increased. The rate rose from 2.2% in 2021 to 4.0% in 2022, indicating an upward trend for this crash type.
Vulnerable Road User Casualties
1
Motorists Killed
45
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 temporal patterns of crashes showed some shifts between the two periods. In 2022, the peak day for crashes was Wednesday with 20 incidents, a change from Thursday (17 incidents) in 2021. The peak hour for collisions also shifted later in the day, from the 3 p.m. hour in 2021 (8 crashes) to the 4 p.m. hour in 2022 (10 crashes).
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
In 2022, Topsfield recorded one fatal crash, accounting for 1% of all crashes, compared to zero fatal crashes in 2021. The number of crashes resulting in serious injuries increased from one in 2021 to three in 2022. Overall, the proportion of crashes involving any level of injury (from possible to fatal) rose from 28.9% of total crashes in 2021 to 33% in 2022.
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
"Inattention" remained a leading contributing factor, with the count of related crashes increasing from 12 in 2021 to 15 in 2022. Crashes attributed to "Failed to yield right of way" saw a notable increase in count, rising from 6 incidents to 9. Conversely, crashes linked to "Distracted" driving decreased slightly from a count of 8 to 7 incidents, while "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" held steady at 8 crashes in both years.
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 in clear weather and on dry roads were predominant in both years, though their share of total crashes increased in 2022. In 2022, 80% of crashes occurred in clear weather, up from 63.3% in 2021. Correspondingly, crashes on non-dry surfaces (wet, snow, or ice) decreased, accounting for 21% of incidents in 2022 compared to 30% in 2021. The proportion of crashes occurring in daylight remained relatively stable at 63% in 2022 versus 65.6% in 2021.
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 top three vehicle makes involved in crashes remained consistent, with Honda, Toyota, and Ford leading in both years, though their rankings shifted; in 2022, Honda became the most frequent make with 26 vehicles, up from 18 in 2021. The age distribution of persons involved in crashes showed a shift towards older individuals, with the 65+ age group becoming the largest cohort in 2022 with 37 people, an increase from 25 in 2021. The 21-25 age group, which was the largest in 2021 with 27 people, saw a slight decrease to 26 people in 2022.
Top Vehicle Makes (174 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
5 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (198 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 the 45 mph speed zone saw a notable increase, rising from 22 incidents in 2021 to 33 in 2022. This zone also accounted for the single fatal crash recorded in 2022, where no fatal crashes occurred in any zone in the prior year. Conversely, collisions in the 65 mph zone decreased from 15 in 2021 to 9 in 2022.
Fatal crashes by zone: 45 mph: 1 of 33 (3.03%)
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: TOPSFIELD, MA
- Total crash records analyzed: 100
- Total persons involved: 207
- Total vehicles involved: 174
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). "TOPSFIELD, 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/topsfield/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