ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · IPSWICH, 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/ipswich/2022-annual-report
Yearly Traffic Safety Analysis
180 CRASHES IN
IPSWICH, MA
2022
In 2022, Ipswich recorded 180 total crashes, a 7.1% increase from the 168 crashes reported in 2021. While total fatalities remained constant at one death in each period, the most significant year-over-year change was in hit-and-run incidents, which increased from 3 in 2021 to 10 in 2022.
180
▲ 7.1%was 168
Total Crash Events
1
Persons Killed
33
▼ -8.3%was 36
Persons Injured
10
▲ 233.3%was 3
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. 10 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 trends in Ipswich show an increase from 2021 to 2022. Total collisions rose by 7.1%, from 168 to 180. Despite the rise in total crashes, the number of reported injuries decreased slightly from 36 to 33, and fatalities held steady with one death recorded in each year.
10
Hit-and-Run Crashes — 2022
▲ 233.3% vs prior (3)
Hit-and-run incidents saw a significant year-over-year increase. The number of hit-and-run crashes rose from 3 in 2021 to 10 in 2022, a more than 230% increase in count. Consequently, the hit-and-run rate as a share of total crashes climbed from 1.8% in 2021 to 5.6% in 2022.
Vulnerable Road User Casualties
0
Cyclists Killed
1
Motorists Killed
3
Cyclists Injured
30
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 years, though Friday remained the peak day for crashes in both 2022 (39 incidents) and 2021 (31 incidents). The morning peak hour was consistent at 10 a.m. in both years, but 2022 saw an additional afternoon peak at 2 p.m. with 17 crashes, compared to 2021's afternoon peaks at 1 p.m. and 5 p.m. (15 crashes each). Notably, crashes on Mondays increased from 17 in 2021 to 29 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
Crash severity profiles were broadly similar year-over-year, with one fatal crash recorded in both 2022 and 2021, resulting in a slightly lower fatal crash rate of 0.56% in 2022 compared to 0.6% in 2021. The proportion of crashes resulting in no injury increased from 75.6% in 2021 to 78.3% in 2022. While the count of serious injury crashes rose from 4 to 5, the number of possible injury crashes fell from 11 to 8.
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
The leading contributing factors for crashes shifted between 2021 and 2022. While 'No improper driving' remained the most cited factor and increased in count from 47 to 54, crashes attributed to 'Inattention' saw a notable decrease, falling from 42 incidents in 2021 to 30 in 2022. Conversely, incidents involving 'Physical impairment' doubled in count from 4 to 8. 'Failed to yield right of way' also saw an increase in count from 8 to 10 incidents.
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
Crash conditions remained largely consistent, with the majority of incidents in both years occurring in clear weather, during daylight hours, and on dry roads. In 2022, 80% of crashes happened on dry surfaces, compared to 82.7% in 2021. A notable shift occurred in crashes on icy roads, which increased from 2 incidents in 2021 to 9 in 2022. Crashes in daylight accounted for 75% of the total in 2022, nearly identical to the 74.4% 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 four vehicle makes involved in crashes remained the same in 2022 as in 2021, though their order shifted; Toyota became the most common make with 42 vehicles, up from 33, while Ford dropped from first to third place. Analysis of persons involved shows a demographic shift toward younger individuals, with the 16-20 age group increasing from 25 to 39 people and the 21-25 group growing from 22 to 32. Conversely, the number of people in the 55-64 age group involved in crashes decreased from 51 to 33.
Top Vehicle Makes (290 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
37 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (293 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 became more concentrated in lower speed zones in 2022 compared to the prior year. The number of incidents in 25 mph zones increased from 54 to 67, representing the largest change in any single speed zone. The single fatal crash in 2022 occurred in a 25 mph zone, whereas the fatality in 2021 was recorded in a 35 mph zone. Crashes in zones of 40 mph or higher saw a decrease from 47 in 2021 to 38 in 2022.
Fatal crashes by zone: 25 mph: 1 of 67 (1.493%)
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: IPSWICH, MA
- Total crash records analyzed: 180
- Total persons involved: 335
- Total vehicles involved: 290
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). "IPSWICH, 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/ipswich/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