ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · EAST LONGMEADOW, 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.
Yearly Traffic Safety Analysis
327 CRASHES IN
EAST LONGMEADOW, MA
2022
In East Longmeadow, total traffic crashes increased from 285 in 2021 to 327 in 2022, a rise of 14.7%. While overall crash numbers grew, the most notable year-over-year change was the emergence of 4 traffic fatalities in 2022, compared to zero in the prior year. This increase in severe outcomes occurred alongside a 50% rise in the total number of people injured, which grew from 58 to 87.
327
▲ 14.7%was 285
Total Crash Events
4
Persons Killed
87
▲ 50.0%was 58
Persons Injured
24
▼ -20.0%was 30
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. 15 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 data for East Longmeadow shows a rising trend in both the frequency and severity of incidents year-over-year. Total crashes increased by 14.7%, from 285 in 2021 to 327 in 2022. The number of individuals injured in these crashes rose by 50% from 58 to 87, and total fatalities increased from 0 to 4.
24
Hit-and-Run Crashes — 2022
▼ -20.0% vs prior (30)
The number of hit-and-run incidents decreased in 2022 compared to the previous year. The total count of hit-and-run crashes fell from 30 in 2021 to 24 in 2022. Correspondingly, the hit-and-run rate, which measures the proportion of all crashes that are hit-and-runs, dropped from 10.5% in 2021 to 7.3% in 2022, indicating a downward trend.
Vulnerable Road User Casualties
0
Pedestrians Killed
1
Cyclists Killed
3
Motorists Killed
2
Pedestrians Injured
3
Cyclists Injured
82
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 daily and hourly patterns of crashes showed minor shifts between the two years. The peak day for crashes moved from Wednesday (53 crashes) in 2021 to Tuesday (60 crashes) in 2022. Similarly, the peak hour for incidents shifted slightly later, from the 3 p.m. hour in 2021 (30 crashes) to the 4 p.m. hour in 2022 (27 crashes), though the number of crashes in the peak hour decreased.
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 worsened significantly in 2022 compared to 2021. Four fatal crashes were recorded in 2022, accounting for 1.2% of all incidents, whereas no fatal crashes occurred in the prior year. The proportion of crashes involving minor injuries also increased, rising from 9.5% of all crashes in 2021 to 12.8% in 2022. The share of crashes with serious injuries or possible injuries remained stable at 2.1% and 4.6%, respectively.
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 top three contributing factors remained consistent across both years: 'No improper driving,' 'Failed to yield right of way,' and 'Inattention.' The count of crashes attributed to 'Failed to yield right of way' increased from 52 in 2021 to 62 in 2022, a 19.2% rise in incidents. A significant increase was observed in crashes involving 'Exceeded authorized speed limit,' which grew from 1 incident in 2021 to 7 in 2022. Conversely, crashes involving 'Followed too closely' saw a slight decrease in count from 38 to 34.
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
The distribution of crashes across different conditions remained largely stable, with most incidents in both years occurring in clear weather and on dry roads. In 2022, 75.2% of crashes were on dry roads, a decrease from 83.9% in 2021. A notable change was the number of crashes on icy surfaces, which increased from just 1 incident in 2021 to 15 incidents in 2022. Crashes on wet roads also saw an increase in count from 41 to 50.
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 were Toyota, Honda, and Ford in both 2021 and 2022. The number of Toyotas and Hondas involved in crashes increased from 64 to 79 and 58 to 64, respectively. Analysis of persons involved shows a significant demographic shift, with the 26-34 age group's involvement increasing from 65 individuals in 2021 to 119 in 2022. Conversely, the 45-54 age group saw a decrease in involvement from 90 to 65 individuals.
Top Vehicle Makes (575 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
57 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (654 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 35 mph zones, the most common location for incidents in both years, increased from 107 in 2021 to 126 in 2022. The most significant proportional increase occurred in 45 mph zones, where crashes rose from 7 to 20. In 2022, four fatal crashes were recorded, with two in 35 mph zones, one in a 25 mph zone, and one in a 45 mph zone. There were no fatal crashes recorded in 2021.
Fatal crashes by zone: 25 mph: 1 of 85 (1.176%) · 35 mph: 2 of 126 (1.587%) · 45 mph: 1 of 20 (5%)
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: EAST LONGMEADOW, MA
- Total crash records analyzed: 327
- Total persons involved: 713
- Total vehicles involved: 575
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). "EAST LONGMEADOW, 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/east-longmeadow/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