Monthly Traffic Safety Analysis

113 CRASHES IN
CAMBRIDGE, MA
FEBRUARY 2022

All metrics benchmarked againstFebruary 2021

In Cambridge, MA, February 2022 saw a total of 113 crashes, an increase of 9.71% compared to 103 crashes in February 2021. The most notable shift year-over-year was the increase in total fatalities, rising from 0 in February 2021 to 1 in February 2022.

113

9.7%was 103

Total Crash Events

1

Persons Killed

25

25.0%was 20

Persons Injured

41

51.9%was 27

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. 22 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Cambridge, MA, showed an upward trend year-over-year. Total crashes increased by 10, from 103 in February 2021 to 113 in February 2022, representing a 9.71% rise. This indicates a moderate increase in crash frequency.

41

Hit-and-Run Crashes — February 2022

51.9% vs prior (27)

Hit-and-run crashes significantly increased year-over-year, rising from 27 in February 2021 to 41 in February 2022, a 51.85% increase in count. The hit-and-run rate also trended upward, increasing by 10.1 percentage points from 26.2% in February 2021 to 36.3% in February 2022.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

6

Pedestrians Injured

Prior: 0%

2

Cyclists Injured

Prior: 20.0%

17

Motorists Injured

Prior: 166.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · 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 Tuesday in February 2021, with 18 crashes, to Friday in February 2022, with 24 crashes. The peak crash hour also changed; while February 2021's peak was 4 PM with 11 crashes, February 2022's peak was 10 AM, also with 11 crashes. This suggests a shift in the busiest times for crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The most significant change in crash severity was the increase in total fatalities from 0 in February 2021 to 1 in February 2022, resulting in a fatal crash rate of 0.88% in the current period. Serious injuries (A) were not reported in February 2021 but accounted for 4 crashes (3.5% of total crashes) in February 2022. Minor injury (B) crashes decreased from 11 (10.7% of total crashes) in the prior period to 8 (7.1% of total crashes) in the current period, while possible injury (C) crashes slightly increased from 8 to 9.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.9%
Serious Injury4serious injury crashes3.5%
Minor Injury8minor injury crashes7.1%
-27.3%prior 11
Possible Injury9possible injury crashes8%
12.5%prior 8
No Injury69no injury crashes61.1%
9.5%prior 63

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to 'No improper driving' decreased by 2, from 25 in February 2021 to 23 in February 2022. 'Failed to yield right of way' crashes increased by 1 count, from 6 to 7. 'Followed too closely' crashes also increased by 1 count, from 4 to 5. Conversely, 'Driving too fast for conditions' crashes decreased by 2, from 3 to 1, and 'Other improper action' decreased by 3, from 4 to 1.

Officer-Reported Primary Contributing Cause

No improper driving23 (20.4%)-8.0%prior 25
Failed to yield right of way7 (6.2%)16.7%prior 6
Followed too closely5 (4.4%)
Disregarded traffic signs, signals, road markings3 (2.7%)
Inattention3 (2.7%)
Exceeded authorized speed limit2 (1.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (1.8%)
Failure to keep in proper lane or running off road2 (1.8%)
Made an improper turn1 (0.9%)
Emotional1 (0.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 30 in February 2021 to 47 in February 2022, while 'Rain' condition crashes decreased from 6 to 4. Regarding road surface, 'Dry' conditions saw an increase in crashes from 35 to 48, but 'Wet' conditions experienced a decrease from 28 to 16. Crashes during 'Dark - lighted roadway' conditions increased from 26 to 32, while 'Daylight' crashes remained relatively stable, increasing slightly from 55 to 56.

Weather

Clear47 (47.5%)
56.7%prior 30
Snow12 (12.1%)
50.0%prior 8
Clear/Clear12 (12.1%)
20.0%prior 10
Sleet, hail (freezing rain or drizzle)6 (6.1%)
Rain4 (4.0%)
-33.3%prior 6
Unknown/Unknown3 (3.0%)
Cloudy3 (3.0%)
-78.6%prior 14
Sleet, hail (freezing rain or drizzle)/Cloudy2 (2.0%)
Blowing sand, snow/Snow2 (2.0%)
Snow/Sleet, hail (freezing rain or drizzle)2 (2.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Weather condition at time of crash

Lighting

Daylight56 (56.6%)
1.8%prior 55
Dark - lighted roadway32 (32.3%)
23.1%prior 26
Dusk6 (6.1%)
-14.3%prior 7
Dawn2 (2.0%)
Dark - unknown roadway lighting1 (1.0%)
Dark - roadway not lighted1 (1.0%)
Other1 (1.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Lighting condition field

Road Surface

Dry48 (53.3%)
37.1%prior 35
Snow17 (18.9%)
-15.0%prior 20
Wet16 (17.8%)
-42.9%prior 28
Slush5 (5.6%)
Ice4 (4.4%)
-42.9%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Road surface condition field

Vehicles & Demographics

The age group 16-20 experienced a decrease in persons involved in crashes, from 7 in February 2021 to 2 in February 2022. Conversely, the 21-25 age group saw an increase from 19 to 26 persons, and the 45-54 age group increased from 16 to 22 persons. Among vehicle makes, TOYOTA vehicles involved in crashes increased from 35 to 46, while JEEP vehicles decreased from 12 to 6.

Top Vehicle Makes (205 vehicles)

1
TOYOTA46 (22.4%)
31.4%prior 35
2
HONDA22 (10.7%)
-12.0%prior 25
3
FORD19 (9.3%)
18.8%prior 16
4
NISSAN13 (6.3%)
8.3%prior 12
5
CHEVROLET8 (3.9%)
14.3%prior 7
6
SUBARU8 (3.9%)
-27.3%prior 11
7
AUDI6 (2.9%)
8
VOLKSWAGEN6 (2.9%)
20.0%prior 5
9
JEEP6 (2.9%)
-50.0%prior 12
10
KIA5 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Vehicle unit records

82 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (161 persons with recorded sex)

Male111 (68.9%)
9.9%prior 101
Female50 (31.1%)
11.1%prior 45

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed limit zone increased from 67 in February 2021 to 78 in February 2022. Crashes in the 30 mph zone decreased from 9 to 5, but notably, this zone recorded 1 fatal crash in February 2022, resulting in a 20% fatal rate for that speed limit, whereas no fatalities were recorded in this zone in the prior period. The 20 mph zone maintained 18 crashes in both periods.

Fatal crashes by zone: 30 mph: 1 of 5 (20%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · 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: 2022-02-01 through 2022-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-02-01 through 2022-02-28 (28 days)
  • Geographic scope: CAMBRIDGE, MA
  • Total crash records analyzed: 113
  • Total persons involved: 236
  • Total vehicles involved: 205

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). "CAMBRIDGE, MA Crash Intelligence Report: February 2022." Published June 21, 2026. Reporting period: 2022-02-01 to 2022-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/cambridge/february-2022-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

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Cambridge, MA Crash Report — February 2022 | ThatCarHitMe.com