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.

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Yearly Traffic Safety Analysis

39 CRASHES IN
WASHINGTON, DISTRICT OF COLUMBIA
2023

All metrics benchmarked against2022

Fatal crashes in WASHINGTON increased by 39.3% year-over-year, rising from 28 fatal crashes in 2022 to 39 fatal crashes in 2023. This increase was accompanied by a significant 120% rise in hit-and-run fatal crashes, from 5 in 2022 to 11 in 2023.

39

39.3%was 28

Total Crash Events

44

37.5%was 32

Persons Killed

31

63.2%was 19

Persons Injured

11

120.0%was 5

Hit-and-Run Crashes

Note: "Persons Killed" (44) counts individual fatalities across all crash events. "Fatal" in the severity table below (39) 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

The overall trend indicates a notable increase in fatal crashes, with a rise from 28 fatal crashes in 2022 to 39 fatal crashes in 2023. This represents a 39.3% increase in fatal crash events year-over-year.

11

Hit-and-Run Crashes — 2023

120.0% vs prior (5)

Hit-and-run fatal crashes increased significantly, rising from 5 fatal crashes in 2022 to 11 fatal crashes in 2023. This change resulted in the hit-and-run rate for fatal crashes increasing from 17.9% to 28.2% year-over-year.

Vulnerable Road User Casualties

14

Pedestrians Killed

Prior: 16-12.5%

3

Cyclists Killed

Prior: 30.0%

27

Motorists Killed

Prior: 13107.7%

1

Pedestrians Injured

Prior: 6-83.3%

0

Cyclists Injured

Prior: 00.0%

30

Motorists Injured

Prior: 13130.8%

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 peak day for fatal crashes shifted from Friday with 7 fatal crashes in 2022 to Thursday with 10 fatal crashes in 2023. The peak hour for fatal crashes also shifted from 2 AM with 4 fatal crashes in 2022 to 12 AM with 7 fatal crashes in 2023.

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

Clear weather conditions remained the most common factor in fatal crashes, accounting for 37 fatal crashes in 2023, up from 26 in 2022. Crashes occurring in dark but lighted conditions were also dominant, increasing from 18 fatal crashes in 2022 to 25 in 2023. Data for road surface conditions was not available for comparison in either period.

Weather

Clear37 (94.9%)
42.3%prior 26
Cloudy1 (2.6%)
Reported as Unknown1 (2.6%)

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

Lighting

Dark - Lighted25 (64.1%)
38.9%prior 18
Daylight10 (25.6%)
11.1%prior 9
Dark - Not Lighted1 (2.6%)
Dark - Unknown Lighting1 (2.6%)
Dusk1 (2.6%)
Reported as Unknown1 (2.6%)

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

Vehicles & Demographics

Top Vehicle Makes (57 vehicles)

1
TOYOTA7 (12.3%)
40.0%prior 5
2
UNKNOWN MAKE7 (12.3%)
3
CHEVROLET6 (10.5%)
20.0%prior 5
4
HONDA5 (8.8%)
5
FORD5 (8.8%)
6
LEXUS4 (7%)
7
KIA3 (5.3%)
8
BMW2 (3.5%)
9
INFINITI2 (3.5%)
10
MERCEDES-BENZ2 (3.5%)

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

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

Sex Distribution (94 persons with recorded sex)

Male71 (75.5%)
29.1%prior 55
Female23 (24.5%)
0.0%prior 23

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 in 25 mph speed zones increased from 13 in 2022 to 23 in 2023, making it the most frequent speed zone for fatal crashes in both periods. Conversely, fatal crashes in 20 mph zones decreased from 10 in 2022 to 5 in 2023.

Fatal crashes by zone: 15 mph: 1 of 1 (100%) · 20 mph: 5 of 5 (100%) · 25 mph: 23 of 23 (100%) · 30 mph: 4 of 4 (100%) · 35 mph: 1 of 1 (100%) · 40 mph: 1 of 1 (100%) · 45 mph: 1 of 1 (100%) · 50 mph: 2 of 2 (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 19 fatal crashes in 2022 to 27 in 2023. Angle collisions also saw an increase, rising from 4 fatal crashes in 2022 to 9 in 2023.

Manner of Collision

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

Vehicle Type

4-door sedans were the most frequently involved vehicle body type in fatal crashes for both periods, with 14 in 2023 and 16 in 2022. Compact utility vehicles saw an increase from 6 in 2022 to 10 in 2023, while two-wheel motorcycles increased from 2 in 2022 to 5 in 2023. Fatal crashes involving large trucks decreased from 3 in 2022 to 1 in 2023.

Vehicle Type

1
4-door sedan, hardtop14 (24.6%)
2
Compact Utility (Utility Vehicle Categories "Small" and "Midsize")10 (17.5%)
3
Unknown body type7 (12.3%)
4
Large utility (ANSI D16.1 Utility Vehicle Categories and "Full Size" and "Large")5 (8.8%)
5
Two Wheel Motorcycle (excluding motor scooters)5 (8.8%)
6
5-door/4-door hatchback3 (5.3%)
7
Convertible(excludes sun-roof,t-bar)3 (5.3%)
8
2-door sedan,hardtop,coupe2 (3.5%)
9
Station Wagon (excluding van and truck based)2 (3.5%)

Showing top 9 of 15 reported. 6 additional (6 total) not shown: Other or Unknown automobile type, Single-unit straight truck or Cab-Chassis (GVWR greater than 26,000 lbs.), 3-door/2-door hatchback, Three-wheel Motorcycle (2 Rear Wheels), Large Van-Includes van-based buses (B150-B350, Sportsman, Royal Maxiwagon, Ram, Tradesman,...), Light Pickup.

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

Roadway Functional Class

Arterial roads, combining Principal and Minor Arterials, accounted for the majority of fatal crashes in both periods, increasing from 21 in 2022 to 28 in 2023. Fatal crashes on Interstates increased from 1 in 2022 to 5 in 2023. Local and collector roads maintained a consistent count of 6 fatal crashes in both years.

Roadway Functional Class

1
Other Principal Arterial17 (43.6%)
2
Minor Arterial11 (28.2%)
3
Interstate5 (12.8%)
4
Local3 (7.7%)
5
Major Collector3 (7.7%)

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

Roadway Ownership

City or Municipal Highway Agencies continued to own the roadways with the most fatal crashes, increasing slightly from 27 in 2022 to 28 in 2023. Fatal crashes on State Highway Agency-owned roads increased from 1 in 2022 to 6 in 2023, and 5 fatal crashes occurred on National Park Service-owned roads in 2023, a category not present in 2022 data.

Roadway Ownership

1
City or Municipal Highway Agency28 (71.8%)
2
State Highway Agency6 (15.4%)
3
National Park Service5 (12.8%)

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

Person Type

Drivers remained the dominant person type involved in fatal crashes, increasing from 39 in 2022 to 56 in 2023. The number of pedestrians involved in fatal crashes decreased from 23 in 2022 to 15 in 2023, while passengers increased from 15 in 2022 to 23 in 2023. The number of bicyclists involved remained consistent at 3 in both periods.

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 fatal injuries (K) increased from 32 in 2022 to 44 in 2023. Similarly, the total number of injured persons (A, B, C, U) increased from 19 in 2022 to 31 in 2023.

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 reported with 'None Used/Not Applicable' safety equipment increased from 16 in 2022 to 30 in 2023. Conversely, the count of persons using 'Shoulder and Lap Belt Used' decreased from 22 in 2022 to 16 in 2023.

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' remained the most frequent point of impact in fatal crashes, increasing from 26 instances in 2022 to 31 in 2023. Other impact points like 'Undercarriage' showed a slight increase from 2 in 2022 to 3 in 2023.

Point of Impact

"Other" combines 9 smaller categories (9 records): Left (1), Left-Back Side (1), Top (1), 7 Clock Point (1), 2 Clock Point (1), 3 Clock Point (1), 4 Clock Point (1), 6 Clock Point (1), 10 Clock Point (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 2022 to 23 in 2023, making them the most common type in both periods. Two-vehicle fatal crashes also increased, rising from 9 in 2022 to 13 in 2023. The number of multi-vehicle fatal crashes involving three or more vehicles remained consistent at 3 in both years.

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: Washington, District of Columbia
  • Total crash records analyzed: 39
  • Total persons involved: 101
  • Total vehicles involved: 57

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). "Washington, District of Columbia 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/district-of-columbia/fatal/washington/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

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