The Lens/Electric Mobility

LIVE EVIDENCE TRACKER · VERSION 1.1

Electric
Mobility

EV sales are moving faster than the insured parc.

Severity and model uncertainty are rising before frequency evidence is credible.

Evidence updated18 Sept 2026Lens assessment recorded18 Sept 2026

THE TRANSITION AT A GLANCE

Four signals that matter now.

New registrations show the direction of travel. The licensed parc shows the exposure insurers actually carry. These measures are deliberately kept distinct.

MeasuredBEV share of new cars25.62%

+3.76 percentage points versus 2025 YTD

2026 YTD to AugustEvidence and source
DerivedFlow-to-stock adoption gap20.2pp

New BEV share less licensed-car ZEV share

Latest comparable snapshotsEvidence and source

01 · ADOPTION AND INSURED EXPOSURE

Sales lead. The parc follows slowly.

The flow-to-stock gap is an early-warning indicator of portfolio change. It is not, by itself, a loss-cost answer.

Measured comparison

New-car flow versus licensed-car stock

Latest available UK snapshots. Different periods are shown explicitly because the underlying publications have different cadences.

New-car BEV share2026 YTD to August25.62%
Licensed-car ZEV shareMarch 20265.4%
PRICING IMPLICATIONDo not price today’s insured parc from today’s sales mix.

New business can change faster than the back book, but neither measure replaces exposure-matched claims experience.

EVIDENCE BOUNDARYPublic data cannot yet support a credible UK comparison of EV and ICE claim frequency per exposure-adjusted mile.

Vehicle counts do not reveal annual mileage, road environment, journey purpose or claims propensity. The detailed research backlog remains in the governed admin workflow.

02 · LEADING INDICATORS

Watch where change arrives first.

Commercial fleets, London, new manufacturers and charging supply can reveal emerging exposure and repair pressures before they are visible across the national insured parc.

MeasuredCOMMERCIAL ADOPTION · 2026 Q1

Electrification is uneven by vehicle class.

CarsNew road-using registrations21.8%
Vans / LGVsNew road-using registrations8.8%
HGVsNew road-using registrations0.9%
Buses / coachesNew road-using registrations31.8%

Share of new road-using registrations that are zero-emission. DfT VEH1153a.

DerivedNEW-MARKET ENTRANTS · 2026 YTD TO AUGUST

New marques are entering faster than claims credibility can mature.

DEFINED CHINESE-BRAND SHARE~16.1%of new-car registrations
MG4.39%
BYD3.48%
Jaecoo3.14%
Omoda1.76%
Chery1.70%
Geely0.67%
Leapmotor0.67%
Other defined0.20%

Brand origin, ownership and assembly location are not treated as interchangeable. The published marque definition is repeatable.

LONDON LEADING INDICATOR

Useful precisely because it is not representative.

London’s regulation, charging environment and high-intensity fleets make it unsuitable as a UK proxy—but useful for seeing emerging mechanisms early.

Latest available fleet comparison: 2024
MeasuredBATTERY-ELECTRIC PHVs · 2020–2024

Battery-electric share accelerated fifteen-fold.

1.3%2020
3.1%2021
10.2%2022
14.1%2023
20%2024

+18.7 percentage pointsfrom 2020 to 2024

PHV battery-electric share16.7×London multiple
London20%
England outside London1.2%

London moved from 1.3% in 2020 to 20.0% in 2024.

Taxi electric-capable share28.9×London multiple
London55%
England outside London1.9%

Battery-electric plus range-extended electric; this is not a pure zero-emission measure.

Definition: battery-electric plus range-extended electric; not a pure BEV measure.
SUPPORTING CONTEXT · 1 JULY 2026121,171 public charging devices

Including 28,887 rapid or above and 174.9 devices per 100,000 people. Infrastructure can enable adoption and utilisation, but is not itself an insurance-risk measure.

Evidence

03 · THE PRICING ACTUARY’S LENS

What this means for UK motor insurance.

The summary exposes the conclusion first. Open any test for the evidence, limitation and trigger that would justify changing the view.

01
Claim frequencyHow could this affect how often claims occur?
UncertainLow confidence
Current assessment

Propulsion alone is unlikely to explain frequency. Utilisation, road mix, vehicle mass, driver assistance and commercial use need to be separated before drawing a pricing conclusion.

Current evidence

Vehicle adoption is measurable; comparable claims or collision exposure by propulsion and use remains incomplete.

What would change this view?

Exposure-matched claims or collision evidence by propulsion, vehicle age, use and road environment.

Initial assessment recorded · 18 Sept 2026
02
Claim severityHow could this affect average claim cost and its distribution?
IncreasingMedium confidence
Current assessment

Battery location, ADAS calibration, parts availability, repair capability and downtime can increase repair cost and total-loss propensity even where crash performance improves.

Current evidence

The mechanisms are credible, but a stable UK insurer-level severity distribution by propulsion is not yet public.

What would change this view?

Credible repair-cost, total-loss and repair-duration evidence matched by vehicle segment and age.

Initial assessment recorded · 18 Sept 2026
04
Tail and accumulation riskCould this limit or amplify large and correlated losses?
MixedLow confidence
Current assessment

Depot charging, common battery or software defects, flood exposure and concentrated fleets create plausible accumulation channels, but loss evidence is still sparse.

Current evidence

The dependency structure is visible; insured loss distributions and credible event frequencies are not.

What would change this view?

A credible UK loss event, recall or portfolio study quantifying common-cause exposure.

Initial assessment recorded · 18 Sept 2026
05
Price response and selectionHow price-sensitive is the market and how might selection change?
MixedMedium confidence
Current assessment

Insurance cost is part of EV total cost of ownership. Repair-cost uncertainty and sparse model-level experience can change take-up and attract adverse selection if price does not differentiate quickly enough.

Current evidence

New marques and models are entering faster than credible model-level claims experience can mature.

What would change this view?

Observed quote conversion, retention and elasticity by propulsion and model maturity.

Initial assessment recorded · 18 Sept 2026
06
Capital vulnerabilityCould under-informed capital be burned before experience emerges?
IncreasingHigh confidence
Current assessment

Yes. Fast growth, new manufacturers, changing repair economics and thin model-level credibility can make apparently attractive EV segments easy to misprice.

Current evidence

The flow-to-stock gap and new-entrant share show that portfolio composition can change ahead of mature claims evidence.

What would change this view?

Stable loss-cost emergence by model, repair network and use class.

Initial assessment recorded · 18 Sept 2026
07
Customer expectationDo customers want or expect change?
MixedMedium confidence
Current assessment

Customers expect the ownership economics of EVs to improve as batteries, charging and repair ecosystems mature—and will increasingly question unexplained insurance differences.

Current evidence

Adoption and charging supply are growing, while affordability and repair concerns remain visible barriers.

What would change this view?

Reliable purchasing, switching and complaint evidence tied specifically to insurance cost and cover.

Initial assessment recorded · 18 Sept 2026
08
Duty to actCould doing nothing permit foreseeable harm or poor value?
IncreasingMedium confidence
Current assessment

Where evidence shows material differences in repairability, usage or expected cost, insurers should test whether rating, disclosure, claims pathways and value assessments remain appropriate.

Current evidence

The evidence is not yet sufficient for broad propulsion-only conclusions, but it is sufficient to justify active monitoring and controlled testing.

What would change this view?

Material portfolio evidence that is known, reproducible and not reflected in product or pricing decisions.

Initial assessment recorded · 18 Sept 2026

04 · EVIDENCE AND GOVERNANCE

Public data, visible provenance.

Only directly sourced or reproducibly derived measures appear above. Evidence can refresh through the governed process; the Lens never changes automatically.

Every public metric has passed the publication threshold.Value present · approved source · valid denominator · current period · clear interpretation
METHODOLOGYHow evidence is checked and published
01Check source

Detect a newer official or public release.

02Validate period

Confirm it supersedes the current snapshot.

03Recalculate

Run documented derived measures.

04Review evidence

Publish facts, dates and definitions.

05Materiality gate

Refer potential Lens changes to Johan.

SOURCE REGISTEROpen the full evidence provenance
CHANGE HISTORYWhat changed—and what did not

Evidence update

London leading indicator and calculation register added

Evidence
Published London taxi and PHV comparisons, six reproducible next-stage measures and a clearer boundary between observed signals and unavailable exposure denominators.
Lens
No material change

Method correction

Public MOT data limitation clarified

Evidence
Removed the implication that the current public MOT tables provide vehicle-level odometer histories by propulsion. Mileage-based comparisons remain gated pending suitable linked data.
Lens
No material change

Launch

Electric Mobility tracker launched

Evidence
Published the UK adoption, commercial, manufacturer, charging and exposure baseline. Lens interpretation recorded separately.
Lens
Initial assessment recorded

Evidence update

August registration evidence incorporated

Evidence
Updated new-car BEV share and the defined Chinese-brand registration measure; no separate Lens revision.
Lens
No material change