DVLA verified

MOT valid

Check service history

2019 BMW X32.0L Diesel

V50 SCA

Vehicle Insight Summary

2019 BMW X3 — Diesel, 1995cc. This vehicle has 37,276 miles on record. MOT status: valid. Tax: not taxed. Review the complete history and specs.

MOT

Valid

Expires 19/01/2027

Tax

No data

£8.99

Check outstanding finance, stolen records, write-off categories & mileage anomalies.

Instant results • £20,000 data guarantee • Same data source as HPI

Mileage: 37,276
Fuel: Diesel
Year: 2019
Engine: 1995cc

Free vehicle health score

/ 100 · Excellent

Public record health check: Excellent.

Based on free DVLA & DVSA signals. Premium checks for stolen/finance/write-off history are locked below.

✓ Valid MOT

! Tax Status Unknown

✓ Exceptional MOT pass rate (100%)

A score of 92 doesn't mean it's safe to buy. Private markers don't appear in public data.

Verified Experian Data

Full History Report

Official provenance and safety check for V50SCA

Data provided by Experian

Stolen

Locked

Finance

Locked

Write-off

Locked

Salvage

Locked

Imported

Locked

Exported

Locked

Scrapped

Locked

Destruction

Locked

V5C Logbook

Locked

Premium Vehicle History Data Locked

Unlock the full report to reveal outstanding finance agreements, police stolen markers, insurance write-off categories (Cat A/B/C/D/S/N), mileage anomaly checks, and plate changes.

Instant results • £20,000 data guarantee • Same data source as HPI

Data provided by Experian

Technical Specifications

AI Intelligence

What's this car worth today?

Get an instant, AI-powered valuation based on live market data, this exact model, and recent auction results.

Full MOT History

Live data last synced with DVSA: 15 Apr 2026, 17:56

AI Analysis · MOT Narrative

Registered in 2019, this BMW X3 with plate V50 SCA has undergone 5 MOT inspections since October 2022.

Historically, this vehicle has passed 100% of its MOT tests, totaling 5 passes against 0 fails. This consistent performance at MOT centers suggests this vehicle has been kept in good order.

AI insights are experimental and can be incorrect. All claims should be manually verified.

PASS

FAIL

ADVISORY