Fatal Crashes Only

This report covers fatal crashes only, from the NHTSA Fatality Analysis Reporting System — the federal census of every crash on a US public road that killed someone within 30 days. It does not include injury or property-damage-only crashes, and its totals are not comparable with the all-severity crash reports published elsewhere on this site.

SponsoredThatCarHitMe.com

If someone you love is part of this data, call us.

We'll connect you with a vetted Virginia attorney who handles fatal-crash and wrongful death cases and will evaluate whether you have a case.

(888) 988-8341Free for accident victims

Yearly Traffic Safety Analysis

37 CRASHES IN
VIRGINIA BEACH, VIRGINIA
2023

All metrics benchmarked against2022

In VIRGINIA BEACH, fatal crashes increased from 30 in the prior year to 37 in the current year, marking a 23.33% rise. A significant year-over-year shift was observed in total injuries, which surged by 190% from 10 injured persons in the prior year to 29 in the current year.

37

23.3%was 30

Total Crash Events

37

23.3%was 30

Persons Killed

29

190.0%was 10

Persons Injured

1

Hit-and-Run Crashes

Note: "Persons Killed" (37) counts individual fatalities across all crash events. "Fatal" in the severity table below (37) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Fatal crashes in VIRGINIA BEACH show an upward trend, increasing by 23.33% from 30 fatal crashes in the prior year to 37 in the current year. Concurrently, the number of persons sustaining injuries in these fatal crashes rose substantially by 190%, from 10 to 29.

1

Hit-and-Run Crashes — 2023

2.7% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

9

Pedestrians Killed

Prior: 650.0%

1

Cyclists Killed

Prior: 0%

26

Motorists Killed

Prior: 248.3%

1

Other Killed

Prior: 0%

0

Pedestrians Injured

Prior: 1-100.0%

0

Cyclists Injured

Prior: 00.0%

29

Motorists Injured

Prior: 9222.2%

0

Other Injured

Prior: 00.0%

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of fatal crashes shifted slightly year-over-year. While Saturday remained a peak day for fatal crashes in the prior year with 8 incidents, the current year saw both Saturday and Sunday as peak days, each with 7 fatal crashes. The peak hour for fatal crashes also shifted from 4 p.m. with 4 incidents in the prior year to 6 p.m. with 7 incidents in the current year.

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Road & Environmental Conditions

Fatal crashes occurring in rainy conditions increased from 2 in the prior year to 6 in the current year. Regarding lighting conditions, fatal crashes in daylight increased from 13 to 17, and those in dark-lighted conditions increased from 11 to 16. Fatal crashes in dark-not lighted conditions decreased from 2 to 1, and those at dusk decreased from 3 to 1.

Weather

Rain6 (85.7%)
Fog, Smog, Smoke1 (14.3%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight17 (45.9%)
30.8%prior 13
Dark - Lighted16 (43.2%)
45.5%prior 11
Dark - Not Lighted1 (2.7%)
Dark - Unknown Lighting1 (2.7%)
Dawn1 (2.7%)
Dusk1 (2.7%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (54 vehicles)

1
HONDA10 (18.5%)
66.7%prior 6
2
CHEVROLET6 (11.1%)
20.0%prior 5
3
NISSAN/DATSUN5 (9.3%)
0.0%prior 5
4
FORD5 (9.3%)
0.0%prior 5
5
CHRYSLER3 (5.6%)
6
DUCATI1 (1.9%)
7
GMC1 (1.9%)
8
HARLEY-DAVIDSON1 (1.9%)
9
HYUNDAI1 (1.9%)
10
ISUZU1 (1.9%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (81 persons with recorded sex)

Male55 (67.9%)
37.5%prior 40
Female26 (32.1%)
36.8%prior 19

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events

Speed Limit Zones

Fatal crashes at a speed limit of 45 mph increased from 16 in the prior year to 20 in the current year. Fatal crashes at 55 mph also rose from 4 to 7, while those at 35 mph saw a slight decrease from 8 to 7. A new speed limit of 40 mph was associated with 1 fatal crash in the current year, where none were recorded in the prior year.

Fatal crashes by zone: 25 mph: 2 of 2 (100%) · 35 mph: 7 of 7 (100%) · 40 mph: 1 of 1 (100%) · 45 mph: 20 of 20 (100%) · 55 mph: 7 of 7 (100%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Posted speed limit at crash location

Manner of Collision

The dominant manner of collision in both periods was 'The First Harmful Event was Not a Collision with a Motor Vehicle in Transport,' increasing from 17 incidents (56.7% of fatal crashes) in the prior year to 24 incidents (64.9%) in the current year. Angle collisions also increased from 6 (20%) to 11 (29.7%), while front-to-rear collisions decreased from 4 (13.3%) to 2 (5.4%).

Manner of Collision

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Vehicle Type

The leading vehicle body type involved in fatal crashes was '4-door sedan, hardtop,' decreasing from 17 in the prior year to 15 in the current year. 'Two Wheel Motorcycle' involvement increased from 9 to 10, and 'Compact Utility' vehicles decreased from 10 to 7. Notably, 'Truck-tractor' vehicles were involved in 2 fatal crashes in the current year, compared to none in the prior year.

Vehicle Type

1
4-door sedan, hardtop15 (27.8%)
2
Two Wheel Motorcycle (excluding motor scooters)10 (18.5%)
3
Compact Utility (Utility Vehicle Categories "Small" and "Midsize")7 (13%)
4
Large utility (ANSI D16.1 Utility Vehicle Categories and "Full Size" and "Large")4 (7.4%)
5
Light Pickup3 (5.6%)
6
Station Wagon (excluding van and truck based)3 (5.6%)
7
Truck-tractor (Cab only, or with any number of trailing unit; any weight)2 (3.7%)
8
Minivan (Chrysler Town and Country, Caravan, Grand Caravan, Voyager, Voyager, Honda-Odyssey, ...)2 (3.7%)
9
Utility Vehicle, Unknown body type1 (1.9%)

Showing top 9 of 16 reported. 7 additional (7 total) not shown: 5-door/4-door hatchback, Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...), Medium/heavy Pickup (GVWR greater than 10,000 lbs.), Motor Scooter, Other van type (Hi-Cube Van, Kary), Utility station wagon (includes suburban limousines, Suburban, Travellall, Grand Wagoneer), 2-door sedan,hardtop,coupe.

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records

Rural vs Urban

Urban areas consistently accounted for the majority of fatal crashes, increasing from 27 in the prior year to 34 in the current year. The number of fatal crashes in rural areas remained stable at 3 for both years. The rural share of fatal crashes decreased from 10% in the prior year to 8.1% in the current year, indicating that urban areas saw a larger increase in fatal incidents.

Rural vs Urban

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Roadway Functional Class

Fatal crashes on 'Other Principal Arterial' roadways significantly increased from 7 in the prior year to 14 in the current year. 'Minor Arterial' fatal crashes rose from 11 to 12, and 'Major Collector' incidents increased from 4 to 6. Interstate fatal crashes remained constant at 5 in both periods.

Roadway Functional Class

1
Other Principal Arterial14 (37.8%)
2
Minor Arterial12 (32.4%)
3
Major Collector6 (16.2%)
4
Interstate5 (13.5%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Roadway Ownership

Roadways owned by 'City or Municipal Highway Agency' experienced an increase in fatal crashes from 23 in the prior year to 31 in the current year, making them the primary jurisdiction for fatal incidents. Fatal crashes on 'State Highway Agency' roads remained stable at 5. The current year also recorded 1 fatal crash on a road owned by a 'Local Toll Authority,' which had no incidents in the prior year.

Roadway Ownership

1
City or Municipal Highway Agency31 (83.8%)
2
State Highway Agency5 (13.5%)
3
Local Toll Authority1 (2.7%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Person Type

Drivers continued to be the most frequently involved person type in fatal crashes, increasing from 49 in the prior year to 54 in the current year. The number of passengers involved saw a substantial increase from 5 to 17, and pedestrians involved rose from 7 to 9. Additionally, 1 bicyclist and 1 'other' person type were involved in fatal crashes in the current year, compared to none in the prior year.

Person Type

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Person Injury Severity

The number of persons fatally injured (K) increased from 30 in the prior year to 37 in the current year. Persons sustaining serious injuries (A) more than doubled, rising from 3 to 9, and those with minor injuries (B) increased from 6 to 16. Conversely, the count of persons with no injuries (O) decreased from 21 to 16.

Person Injury Severity

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Occupant Safety Equipment

The number of persons recorded using 'Shoulder and Lap Belt Used' in fatal crashes increased from 31 in the prior year to 42 in the current year. Concurrently, the count of persons with 'None Used/Not Applicable' safety equipment also rose from 21 to 28. The current year also saw 1 instance of 'Child Restraint Type Unknown' not present in the prior year.

Occupant Safety Equipment

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events

Point of Impact

The '12 Clock Point' (front) remained the most common point of impact, increasing from 28 instances in the prior year to 30 in the current year. Impacts at the '6 Clock Point' (rear) decreased from 5 to 2. '11 Clock Point' impacts increased from 2 to 4, and '9 Clock Point' impacts increased from 1 to 4.

Point of Impact

"Other" combines 4 smaller categories (6 records): 3 Clock Point (2), 6 Clock Point (2), Non-Collision (1), Top (1).

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Vehicle unit records

Vehicles Per Crash

Single-vehicle fatal crashes increased from 16 in the prior year to 23 in the current year. Fatal crashes involving two vehicles remained consistent at 11 in both periods. Incidents with three vehicles rose from 2 to 3, while the prior year included 1 fatal crash involving five vehicles, which was not observed in the current year.

Vehicles Per Crash

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-01-01 to 2023-12-31 · Crash-level records

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from NHTSA FARS (Fatal Crashes), accessed programmatically via the NHTSA FARS 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: NHTSA FARS 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: 2023-01-01 through 2023-12-31
  • Report generated: August 5, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: Virginia Beach, Virginia
  • Total crash records analyzed: 37
  • Total persons involved: 82
  • Total vehicles involved: 54

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). "Virginia Beach, Virginia Crash Intelligence Report: 2023." Published August 5, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: NHTSA FARS (Fatal Crashes), NHTSA FARS Open Data. Available at: https://thatcarhitme.com/crash-data/virginia/fatal/virginia-beach/2023-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

SponsoredThatCarHitMe.com

Someone you love in this data? We’ll help you find out if you have a case.

Call our intake team. We connect you to a vetted Virginia attorney who handles fatal-crash and wrongful death cases, and who will treat your family’s situation with care.

Always free for accident victims.