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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Monthly Traffic Safety Analysis

4 CRASHES IN
DISTRICT OF COLUMBIA
SEPTEMBER 2023

All metrics benchmarked againstSeptember 2022

In September 2023, there were 4 fatal crashes and 4 fatalities, an increase from September 2022, which recorded 3 fatal crashes and 3 fatalities. This represents an increase of 1 fatal crash and 1 fatality year-over-year. One notable shift was the increase in pedestrian crashes, which rose from 1 in the prior period to 2 in the current period.

4

33.3%was 3

Total Crash Events

4

33.3%was 3

Persons Killed

2

Persons Injured

1

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.

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates an increase in fatal crashes and fatalities year-over-year. Fatal crashes rose from 3 in September 2022 to 4 in September 2023, and total fatalities also increased from 3 to 4 during the same period.

1

Hit-and-Run Crashes — September 2023

0.0% vs prior (1)

The number of fatal hit-and-run crashes remained constant at 1 in both September 2023 and September 2022. However, the hit-and-run rate decreased from 33.3% of all fatal crashes in September 2022 to 25% in September 2023, due to the increase in total fatal crashes.

Vulnerable Road User Casualties

2

Pedestrians Killed

Prior: 1100.0%

2

Motorists Killed

Prior: 20.0%

0

Pedestrians Injured

Prior: 00.0%

2

Motorists Injured

Prior: 20.0%

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · 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 Saturday in September 2022 to Thursday in September 2023, with 1 crash on each day. The peak hour also changed, from 8 PM in the prior period to 10 PM in the current period, both with 1 crash. Crashes in the current period were more spread across weekdays (Tuesday, Wednesday, Thursday) compared to the prior period which had crashes on Friday and Saturday.

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Crash date field aggregated by weekday

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Crash time field aggregated by hour (0-23)

Road & Environmental Conditions

Lighting conditions for fatal crashes remained predominantly dark, with 3 out of 4 fatal crashes occurring in 'Dark - Lighted' conditions in September 2023, compared to 2 out of 3 in September 2022. The number of fatal crashes occurring in 'Daylight' conditions remained constant at 1 in both periods. Data for weather and road surface conditions were not available for comparison.

Lighting

Dark - Lighted3 (75.0%)
Daylight1 (25.0%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (5 vehicles)

1
FORD1 (20%)
2
GMC1 (20%)
3
LEXUS1 (20%)
4
SUZUKI1 (20%)
5
UNKNOWN MAKE1 (20%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Vehicle unit records

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

Sex Distribution (6 persons with recorded sex)

Male4 (66.7%)
33.3%prior 3
Female2 (33.3%)
0.0%prior 2

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Person-level records linked to crash events

Speed Limit Zones

Fatal crashes in September 2023 occurred across speed limits of 25 mph (2 crashes), 30 mph (1 crash), and 45 mph (1 crash). In September 2022, fatal crashes were recorded at 20 mph (1 crash), 25 mph (1 crash), and 30 mph (1 crash). The current period saw an increase in fatal crashes at 25 mph from 1 to 2, and a new occurrence at 45 mph, while the 20 mph speed zone had no fatal crashes in the current period.

Fatal crashes by zone: 25 mph: 2 of 2 (100%) · 30 mph: 1 of 1 (100%) · 45 mph: 1 of 1 (100%)

Source: NHTSA FARS (Fatal Crashes) · Federal fatal-crash census · 2023-09-01 to 2023-09-30 · Posted speed limit at crash location

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: 2023-09-01 through 2023-09-30
  • Report generated: August 5, 2026

Data Coverage

  • Reporting period: 2023-09-01 through 2023-09-30 (30 days)
  • Geographic scope: District of Columbia
  • Total crash records analyzed: 4
  • Total persons involved: 7
  • Total vehicles involved: 5

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). "District of Columbia Crash Intelligence Report: September 2023." Published August 5, 2026. Reporting period: 2023-09-01 to 2023-09-30. Data source: NHTSA FARS (Fatal Crashes), NHTSA FARS Open Data. Available at: https://thatcarhitme.com/crash-data/district-of-columbia/fatal/statewide/september-2023-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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