Case Study

Las Vegas 2025 / 26

Across 739,950 rides in two matched five-month windows, the Las Vegas collision rate rose +231% (139 → 460 per million), yet hard braking improved 16% and harsh acceleration fell 71%. The spike is not city-wide: it concentrates in North Las Vegas and the first two months of 2026.

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01 · Executive Summary

Collisions tripled while braking got smoother.

This study compares Nexar dashcam fleet data from the Las Vegas metropolitan area across two equivalent five-month periods: January-May 2025 and January-May 2026. It covers 739,950 rides totaling ~7 million miles, focused on incident prevalence and severity, collisions, hard braking, harsh acceleration, and cornering.

Collision rates rose +231% (139 → 460 per million rides; Z = 17.4, p < 0.001). Yet hard braking, the strongest leading indicator of near-misses, improved 16%, and harsh acceleration dropped 71%. The collision spike concentrates in North Las Vegas, particularly January-February 2026.

Collision Rate · YoY
+231%
139 → 460 per million rides
Danger Index · 100 = baseline
331
2026 collision rate vs 2025 baseline
Hard Brake Rate
−16%
Improved · every month in 2026
Harsh Acceleration
−71%
2,163 → 627 per million
Rides Analyzed
739K
410K (2025) + 330K (2026)
Ride Volume · YoY
−19.4%
Fleet composition, not road activity
◆ Five Things to Know

1. Collision rate surged 139 → 460/M (+231%, Danger Index 331). 2. Hard braking improved 16%, a genuine positive safety signal. 3. North Las Vegas drove the spike: 66% of 2026 collisions from 15% of rides. 4. Q1 was the danger window, January (DI 4,088) and February (DI 950) front-loaded the year. 5. Risk timing shifted: 2026's peak hour is 9 AM (1,445/M) vs near-zero there in 2025.

02 · Study Context

Study context

Las Vegas is one of the most unique driving environments in the United States, a 24/7 city with high tourism traffic, the Las Vegas Strip, convention activity, and one of the country's highest pedestrian exposure rates. Year-over-year safety trends here are directly relevant to fleet operators, insurance underwriters, and road-safety stakeholders.

MetricStudy Period 2025Comparison 2026
Date rangeJan 1 - May 31Jan 1 - May 31
Total rides409,620330,330
Total miles3.85M3.12M
Collision events57152
Hard brake events7,6325,191
▲ Data Context · The −19.4% Volume Decline

Ride counts declined 19.4% year-over-year. This reflects changes in Nexar fleet composition (onboarding / offboarding of specific fleet accounts) rather than an actual decline in Las Vegas road traffic. All incident metrics are reported per million rides to normalize for the volume difference, making the two periods directly comparable despite the different denominators.

Because the metrics are rate-normalized, the headline findings are not artifacts of the shrinking ride pool. A collision rate is collisions ÷ rides × 1,000,000, independent of how many rides were observed, provided the sample is large enough to be stable (it is: hundreds of thousands of rides per window).

03 · Methodology

Methodology

Data source. All data originates from the Nexar Dashcam Fleet, dashcam-equipped vehicles operating in Las Vegas, Nevada. Rides are filtered by starting-point city (Las Vegas, North Las Vegas, and adjacent Las Vegas-named areas) and state (Nevada).

Four incident types tracked: Collision (detected impact events, the primary metric), Hard brake (sudden deceleration over threshold), Harsh acceleration (sudden acceleration over threshold), and Cornering (sharp lateral movement events). Baseline: the 2025 Jan-May window, an identical calendar window in both years, so no day-of-week adjustment is needed and the periods are directly comparable.

∑ Formulas

Rate = (Total incidents ÷ Total rides) × 1,000,000. Danger Index = (2026 rate ÷ 2025 rate) × 100. All rates are expressed as incidents per million rides to normalize across periods with different ride volumes. A Danger Index of 100 equals baseline; above 100 = more dangerous; below 100 = safer than 2025.

✦ Reading the Danger Index

The Danger Index is the report's core comparator. The metro collision DI of 331 means 2026 was 3.3× as collision-prone per ride as 2025. Section levels carry their own DIs, North Las Vegas hits 496, January's month-level DI reaches 4,088. The index makes wildly different baselines legible on one scale.

04 · Traffic Volume

Volume fell, but trip shape held.

Volume fell ~19% across rides, miles, and hours, but trip shape is unchanged. Miles-per-ride, hours-per-ride, and average speed are all within ~2% year-over-year, confirming the same fleet on similar routes.

MetricJan-May 2025Jan-May 2026Change
Total rides409,620330,330−19.4%
Total miles driven3,847,6753,123,998−18.8%
Total hours driven230,249184,003−20.1%
Miles per ride9.399.46+0.7%
Hours per ride0.5620.557−0.9%
Avg speed (mph)16.717.0+1.8%
● Stable Trip Profile

Average miles per ride was nearly identical (9.39 vs 9.46), indicating the same fleet operated on similar routes. The volume decline is attributable to fleet composition change, not reduced driving activity in the region, which is exactly why per-million-ride normalization is the correct lens for every safety metric that follows.

05 · Safety Overview

Four incident types, four directions.

Collisions exploded; every behavioral indicator improved or held flat. This split is the analytical core of the study.

Incident Type2025 /M2026 /M% ChangeDanger IndexAssessment
Collision ★139.15460.15+230.7%331Elevated Risk
Hard Brake18,631.915,714.6−15.7%84Below Average
Harsh Acceleration2,162.98626.65−71.0%29Below Average
Cornering6,903.966,469.29−6.3%94Baseline
Collision
+231%
Hard Brake
−16%
Harsh Accel
−71%
Cornering
−6%
● Positive Signal · Hard Braking Improved

Hard braking, the industry's strongest leading indicator of near-miss events and driving aggression, declined 16% in 2026. Underlying driver behavior in the fleet appears to have become smoother, which makes the collision spike more puzzling and points to specific concentrated events rather than a general decline in driving quality. The North Las Vegas analysis (Section 10) resolves the paradox.

06 · Monthly Trends

The Q1 anomaly.

The +231% annual figure is front-loaded. January and February 2026 carry extreme Danger Indices; by March-May the rate converges toward (though stays above) 2025 levels.

Jan 2026
501
Feb 2026
1,076
Mar 2026
276
Apr 2026
289
May 2026
298

Monthly 2026 collision rate per million rides. February 2026 (1,076/M) is the peak.

MonthRides 2025Rides 2026Rate 2025Rate 2026DIHB 2025HB 2026
January81,65667,89312.25500.794,08814,19416,747
February79,50053,920113.211,075.6795016,61615,857
March83,05168,866216.73275.9012720,28915,654
April81,48469,14885.91289.2333718,51916,617
May83,92970,503262.13297.8611423,32913,787
Total / Avg409,620330,330139.15460.1533118,63215,715
▲ January-February 2026 · Extreme Anomaly

January 2026 hit 500.79/M (DI = 4,088 vs Jan 2025's 12.25) and February reached 1,075.67/M (DI = 950). From March on, rates converged toward 2025 levels (DI 114-337). Meanwhile hard braking improved every single month, May 2026 showed the largest gain (13,787 vs 23,329/M, −41%). The collision spike and the braking improvement are genuinely independent signals.

07 · Statistical Significance

Both signals are real.

Every headline metric clears conventional significance by a wide margin. The collision increase and the hard-brake improvement are both real, neither is a statistical artifact of the smaller 2026 ride pool.

Metric2025 Rate2026 RateZ-ScoreP-Value95% CI (2026)Significance
Collision /M ★139.15460.1517.4<0.001[424, 496]Very High ★★★
Hard Brake /M18,631.915,714.6−38.2<0.001[15,593, 15,836]Very High ★★★
Harsh Accel /M2,162.98626.65−38.1<0.001[609, 644]Very High ★★★
Cornering /M6,903.966,469.29−7.9<0.001[6,387, 6,551]Significant ★★
Collision · Z = 17.4
Less than 0.001% chance of randomness
57 collisions in 2025, 152 in 2026 across hundreds of thousands of rides. The increase is real and not a statistical artifact of the smaller ride pool.
Hard Brake · Z = −38.2
One of the strongest positive signals
The hard-brake improvement is extremely significant. The magnitude (Z = 38) reflects the large sample size, this is a genuine, robust behavioral improvement.
✦ Two Robust, Opposite Signals

This is the statistical heart of the paradox: both the collision increase (Z = 17.4) and the hard-brake improvement (Z = −38.2) are highly significant. They are not measurement noise pulling in different directions, they are two real, independently-confirmed phenomena. The reconciliation is structural, and it lives in the geography (Section 10) and the calendar (Section 06).

08 · Hourly Patterns

The risk shifted to mid-morning.

All times Pacific (Las Vegas local). The 2026 collision risk concentrates in a 9-11 AM window that was near-silent in 2025, a notable shift from 2025's early-morning (3-4 AM) risk profile.

9 AM
1,445
10 AM
1,090
11 AM
919

2026 collision rate per million rides, peak hours. Full 24-hour series in the appendix.

▲ 2026 · Mid-Morning Risk

9 AM reached 1,445/M, 10 AM 1,090/M, 11 AM 919/M. The 9 AM DI = 2,729 vs 2025's 53/M. The 9-11 AM window is the single highest-risk band in the 2026 data.

● 2025 · Early-Morning Risk

2025's riskiest hours were 3-4 AM (4 AM 1,067/M, 3 AM 836/M), with 9 AM near silent at 53/M. The year-over-year shift of peak risk from pre-dawn to mid-morning is a real pattern change.

09 · Day-of-Week Analysis

The weekend reversal.

In 2025, weekends were the safest days. In 2026, they became the most dangerous, Saturday and Friday now top the collision-rate table. A clear behavioral or fleet-pattern shift.

DayRides 2025Rides 2026Rate 2025Rate 2026DIHB 2025HB 2026
Sunday51,17044,04758.63317.8454213,75813,463
Monday55,28644,607144.70291.4320121,88613,787
Tuesday58,47947,238136.80232.8617018,28016,724
Wednesday61,46748,387260.30516.6719919,26216,409
Thursday61,45349,277130.18547.9242118,94115,768
Friday63,18748,395126.61619.9049020,81117,791
Saturday ★58,57848,379102.43661.4464516,83215,730
▲ Weekend Collision Risk Surged

Saturday 2026 had the highest collision rate of any day (661/M, DI = 645); Friday followed at 620/M (DI = 490). In 2025, weekends were the safest days (Saturday 102/M, Sunday 59/M). This reversal, weekends becoming the most dangerous in 2026, is a significant pattern change and aligns with the North Las Vegas concentration.

● Hard Braking Improved Every Day

Across all seven days, hard braking fell in 2026, Monday showed the most dramatic improvement (13,787 vs 21,886/M, −37%). The behavioral indicator improves uniformly even as collisions concentrate on weekends: more evidence the collision spike is event-driven, not a fleet-wide driving-quality decline.

10 · Sub-City · North Las Vegas

Where the paradox resolves.

North Las Vegas, 15% of rides, produced 66% of all 2026 collisions, with a collision rate of 2,011/M against the core's 186/M.

66%

Of 2026 Collisions from North Las Vegas

North Las Vegas produced 100 of 152 total 2026 collision events while representing only 15% of rides. Its collision rate went from 405/M in 2025 (already elevated) to 2,011/M in 2026, a Danger Index of 496. The Las Vegas core's increase was far more modest (97 → 186/M, DI = 192).

CityRides 2025Rides 2026Coll. 2025Coll. 2026Rate 2025Rate 2026DI
Las Vegas (core)350,819279,147345296.9186.3192
North Las Vegas ★56,72649,72523100405.42,010.9496
Other LV areas2,0751,4580000-
Total409,620330,33057152139.2460.2331
◆ February 2026 · 5,210/M in North Las Vegas

North Las Vegas's January 2026 collision rate (2,385/M) was already higher than any month in 2025 for the entire metro. In February it reached 5,210/M, pointing to specific fleet vehicles operating in high-risk conditions during early winter 2026. This single sub-city, in a single quarter, accounts for the bulk of the metro's +231% headline. The spike is a concentrated event, not a city-wide trend.

11 · Driver Type Analysis

The Consumer segment carries the story.

Over 99% of Las Vegas Nexar rides fall in the Consumer/Unknown category, which therefore carries the entire collision-rate story. Truck and Taxi/Rideshare counts are too small to read individually.

Driver TypeRides 2025Rides 2026Rate 2025Rate 2026DIHB 2025HB 2026
Consumer / Unknown409,260329,759131.95457.9134718,62615,690
Truck14937620,1342,6601326,84629,255
Taxi / Rideshare21119500-23,69730,769
▲ Small-n Warning · Truck & Taxi

Truck (149 / 376 rides) and Taxi/Rideshare (211 / 195 rides) segments have very small ride counts in this market. Treat their individual rates as directional only. The truck collision-rate "drop" (20,134 → 2,660/M) is based on a handful of events and should not be over-interpreted.

● The Consumer Segment Carries the Story

At 99%+ of rides, the Consumer/Unknown segment effectively is the Las Vegas fleet. Its collision rate (132 → 458/M, DI = 347) mirrors the metro total almost exactly. The +231% headline is a Consumer-segment phenomenon, concentrated geographically in North Las Vegas and temporally in Q1 2026.

12 · Trip Characteristics & Context

Trip Characteristics & External Context

Trip length and duration were remarkably stable, confirming the same fleet on similar routes. Against external benchmarks, the collision spike is large but explainable; the braking improvement is validated.

Metric20252026ChangeInterpretation
Avg miles per ride9.399.46+0.7%Stable, same routes
Avg hours per ride0.5620.557−0.9%Effectively unchanged
Avg speed (mph)16.717.0+1.8%Slightly faster, lighter traffic
Total miles (fleet)3.85M3.12M−18.8%Fleet volume reduction
Total hours (fleet)230,249184,003−20.1%Fleet volume reduction
MetricNexar LV FindingExternal BenchmarkAssessment
YoY collision rate change+230.7%±10-30% typical YoYExplainable
Hard brake trend direction−15.7% (improving)NHTSA: ~3%/yr improvingValidated
Nevada baseline safetyrate per ride, not VMTIIHS: NV fatality above US avgContext
◆ Novel Study

No equivalent dashcam-fleet time-series comparison for Las Vegas Jan-May exists in public literature, this is original fleet intelligence. The +231% increase is explained by geographic concentration (North Las Vegas) and front-loading in Q1 2026, beyond typical YoY benchmarks, but not inconsistent with concentrated real-world events.

13 · Key Findings

Key Findings

Six findings, the spike, where it lives, when it happened, and the improving behavioral backdrop.

Finding 01 · The Spike
+231%
Collision rate · DI 331
139 → 460/M (Z = 17.4, p < 0.001). Las Vegas collisions more than tripled relative to ride volume in 2026.
Finding 02 · Where
66%
North Las Vegas · 2,011/M, DI 496
NLV produced 66% of all 2026 collisions from only 15% of rides, the dominant driver of the metro headline.
Finding 03 · When
Q1
Jan (DI 4,088) + Feb (DI 950)
January and February 2026 drove the annual total. March-May rates were elevated but far closer to 2025.
Finding 04 · Braking
−16%
Improved every month & day
Hard braking fell consistently in 2026, a genuine improvement in fleet driving behavior, independent of the collision spike.
Finding 05 · Weekend Flip
661/M
Saturday now most dangerous
Weekends went from safest (2025) to most dangerous (2026): Saturday DI 645, Friday DI 490.
Finding 06 · Acceleration
−71%
Harsh acceleration collapsed
2,163 → 627/M. A dramatic behavioral improvement, though partly possibly a detection-model change (see Limitations).
14 · Recommendations

Recommendations

Five actions, ranked by priority. R1 follows directly from the geographic concentration.

  1. Investigate North Las Vegas fleet accounts

    Identify which specific fleet accounts or vehicles generated the 100 collision events in NLV during Jan-May 2026. The concentration (65.8% of collisions from 15% of rides) points to specific operators. Prioritize safety coaching and telematics review for these accounts.

  2. Deploy real-time monitoring for Q1 risk windows

    The January-February spike suggests seasonal or post-New-Year risk may be consistently elevated. Implement enhanced monitoring during these months in 2027.

  3. Address weekend & mid-morning concentration

    Saturday/Friday and 9-11 AM local time are the highest-risk segments in 2026. Fleet operators should consider targeted coaching for these specific windows.

  4. Leverage hard-brake improvements as a model

    The consistent −16% improvement in hard braking across all days and months suggests effective coaching or operational change. Document and replicate what drove this improvement across other markets.

  5. Establish Las Vegas as a monitored market

    With 330K-410K rides per 5-month window, Las Vegas provides statistically reliable data for continuous monitoring. Set quarterly alerts for collision rate exceeding 300/M.

15 · Limitations

Limitations

▲ About This Section

Limitations are a first-class section. They define the scope within which the +231% headline should be interpreted, especially the detection-model and small-count caveats.

  1. Fleet composition change

    Ride volume declined 19.4% between periods. Some of the rate change may reflect which fleet accounts are active, not purely behavioral change. Per-million normalization handles volume, but not composition shifts.

  2. North Las Vegas concentration

    The NLV signal is driven by a small number of rides relative to the metro total. Individual fleet accounts may disproportionately influence the rate, the headline is sensitive to a handful of operators.

  3. Incident detection model

    Changes in Nexar's collision detection model between 2025 and 2026 could affect comparability. The dramatic harsh-acceleration drop (−71%) may partly reflect a model change rather than pure behavioral improvement.

  4. Population bias

    Nexar fleet data represents vehicles equipped with Nexar dashcams, not all Las Vegas traffic. Fleet-equipped vehicles may skew toward commercial and professional drivers.

  5. Small absolute counts

    57 (2025) and 152 (2026) collision events are relatively small absolute numbers, amplifying percentage changes. The statistical significance is genuine, but caution is warranted in extrapolation. External benchmarks were drawn from prior knowledge without real-time validation.

16 · Appendix · Hourly Data

Appendix · Full Hourly Collision Data

Complete by-hour series (Pacific Time), both periods, for reproducibility. Mid-morning 2026 risk hours marked.

HourRides 2025Rate 2025Rides 2026Rate 2026DI
12 AM5,05503,2170-
1 AM3,54302,5740-
2 AM2,74202,151465-
3 AM3,5908362,80400
4 AM4,6881,0673,45000
5 AM8,2983626,16816245
6 AM13,41229811,156627210
7 AM18,86315917,637397250
8 AM18,63416116,173866538
9 AM18,8985316,6091,4452,729
10 AM21,39818717,4321,090583
11 AM24,23528919,588919318
12 PM26,409020,913335-
1 PM26,70715021,702415277
2 PM28,7826923,590551799
3 PM31,00816124,668324201
4 PM30,03110024,810282282
5 PM30,0086723,3824364
6 PM25,57711720,589243208
7 PM20,40214716,263184125
8 PM16,71112012,887388323
9 PM13,07809,896101-
10 PM10,57907,584264-
11 PM6,97205,0870-

Analysis by Nexar BI · Requested by Itamar Bul · nexar-ai.com. Data source · Nexar Dashcam Fleet · Las Vegas Metro, Nevada. Generated June 7, 2026 · Study windows Jan-May 2025 & 2026 · 739,950 rides analyzed.