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Data Report · Hit & Run

Nearly 1 in 3 El Paso crashes ends with a driver fleeing the scene.

28.7%
Hit-and-run share of all reported crashes in the City of El Paso, 2022–2026 YTD. Roughly 2.5× the U.S. urban average of ~11% (AAA Foundation).
23,583 hit-and-run crashes|82,107 total crashes|276 fatal crashes|294 deaths

Key findings

The rate has been stable for five consecutive years — a sign of a structural problem, not a fluke. Individual intersections concentrate the risk far above the city-wide share.

28.7%
Five-year hit-and-run share of all reported crashes in the City of El Paso. National urban average per AAA: ~11%.
23,583
Hit-and-run crashes reported to TxDOT across 2022 through 2026 YTD. Yearly band: 27.1%–29.3%, essentially flat.
37.7%
Highest hit-and-run rate at any El Paso intersection (Copia St & I-10 Frontage Road, 23 of 61 crashes over 5 years).

The rate has not moved in five years

If the hit-and-run share were going up, the city could call it a crime wave. If it were going down, an enforcement success. Instead it's been almost perfectly flat — a structural baseline, most likely tied to El Paso's elevated uninsured driver prevalence and its border city demographics.

40%30%20% 10%0% 28.9% 29.3% 28.9% 28.3% 27.1% YTD 202220232024 20252026* *2026 through April 24 (YTD). Source: TxDOT CRIS · Analysis: 915 Injury

From 2022 through the most recent full year, El Paso's hit-and-run rate moved by less than one percentage point. The 2022–2025 spread is 28.3%–29.3%.

U.S. urban hit-and-run average (~11%, AAA Foundation)

The 15 intersections with the highest hit-and-run rates

Data is restricted to intersections with at least 30 reported crashes over five years to prevent small sample sizes from distorting the trends. Marker size reflects total crash volume, while the color darkens as the hit-and-run rate rises.

25–30% H&R rate
30–35% H&R rate
35%+ H&R rate
Marker size ∝ total crashes (5-year)

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<iframe src="https://915injury.com/reports/hit-and-run/embed/" width="100%" height="520" frameborder="0" style="border:0;"></iframe>
<p style="font-size:11px">Source: TxDOT CRIS 2022–2026 · Analysis: <a href="https://915injury.com/reports/hit-and-run/">915 Injury</a></p>

Worst intersections by hit-and-run rate

Five-year totals, 2022-01-01 through 2026-04-24. Minimum 30 reported crashes to qualify.

# Intersection Crashes Hit-and-run H&R rate Fatal
1 Copia St & I-10 Frontage Road 61 23 37.7% 0
2 Redd Rd & Doniphan Dr 37 13 35.1% 0
3 Lee Trevino Dr & I-10 Frontage Road 59 20 33.9% 0
4 Executive Center Blvd & Mesa St 47 15 31.9% 0
5 Redd Rd & Resler Dr 53 16 30.2% 0
6 Lee Trevino Dr & Vista Del Sol Dr 30 9 30.0% 0
7 Mesa Hills Dr & Sunland Park Dr 37 11 29.7% 0
8 Zaragoza Rd & Montwood Dr 46 13 28.3% 0
9 Lee Trevino Dr & Pellicano Dr 43 12 27.9% 0
10 Socorro Rd & Loop 375 41 11 26.8% 1
11 Lomaland Dr & I-10 Frontage Road 57 15 26.3% 0
12 Hawkins Blvd & I-10 Frontage Road 81 21 25.9% 0
13 Geronimo Dr & I-10 Frontage Road 102 26 25.5% 0
14 South Americas Ave & Alameda Ave 83 21 25.3% 0
15 Resler Dr & Doniphan Dr 32 8 25.0% 0

Full dataset (15 rows by rate + 15 rows by volume, with latitude/longitude) available in the CSV at the top of the page.

Methodology

  • Source. TxDOT Crash Records Information System (CRIS) public Query Builder at cris.dot.state.tx.us. One attribute-list export per year (2022, 2023, 2024, 2025, 2026 YTD) filtered to City = EL PASO, all severities, all crash types. Raw extracts preserved in the project archive.
  • Time window. 2022-01-01 through 2026-04-24 (YTD). TxDOT noted a processing backlog in mid-April 2026; 2026 YTD may undercount the final 1–2 weeks.
  • Unit of analysis. Unique crashes (82,107) after deduplicating on CRIS Crash ID. The raw extracts contain one row per person involved (201,322 person-rows total), denormalized across crash × unit × person.
  • TxDOT highway codes. CRIS reports highway-system street names as internal codes (IH0010, SL0375, US0054, FM0659, etc.). We translate these to locally-used names (I-10, Loop 375, US-54, Zaragoza Rd, Doniphan Dr) in published tables. Crashes on I-10's Gateway Boulevard access roads (Gateway Blvd East and West) are listed as "[cross street] & I-10 Frontage Road" rather than "I-10 & [cross street]," since vehicles at these intersections are on the Frontage Road, not the interstate itself.
  • Reproducibility. Full Python source for ingestion, cleaning, and analysis is preserved with the project. Raw CSV extracts available on request.
  • Hit-and-run definition. A crash is flagged as a hit-and-run if any unit (vehicle) involved has the CRIS Vehicle Hit and Run Flag = Yes. This matches investigative practice: a multi-vehicle crash where one driver flees still counts.
  • Intersection identification. A crash is assigned to a named intersection only when both Street Name and Intersecting Street Name are populated AND At Intersection Flag = true. 21,462 of 82,107 crashes meet the strict intersection definition across 4,030 unique intersections.
  • Rate-based ranking threshold. Minimum 30 reported crashes over 5 years to qualify for the "worst by rate" ranking. Prevents tiny-sample artifacts.
  • National comparison. The ~11% U.S. urban hit-and-run share is from the AAA Foundation for Traffic Safety's 2018 research brief on hit-and-run crashes, the most recent peer-reviewed national estimate we're aware of.

Last updated: 2026-04-24. Corrections or questions: [email protected].

About this report

"When a driver flees a crash, which is significantly more common in El Paso than in most U.S. cities, the victim is often left with limited recovery options, especially if they did not carry uninsured motorist coverage to protect themselves and their loved ones against hit-and-run drivers. We hope publishing this data helps the city, the media, and responsible drivers to understand the importance of carrying proper insurance coverage."

John Aufiero, attorney, 915 Injury

915 Injury is a personal injury law firm based in El Paso, Texas. We build data reports like this one to help local journalism and readers understand traffic-safety patterns in our city. The data is public; our work was the ingestion, cleaning, and cross-tabulation. Citation and editorial reuse are welcome under the CC BY 4.0 license.

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