DVLA verified

MOT valid

Check service history

2017 BMW X33.0L Diesel

ROB 30G

Vehicle Insight Summary

Considering this 2017 BMW X3? It's a Diesel with a 2993cc engine showing 98,992 miles. MOT is valid and it's not currently taxed. View the full DVLA history below.

MOT

Valid

Expires 08/03/2027

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: 98,992
Fuel: Diesel
Year: 2017
Engine: 2993cc

Free vehicle health score

/ 100 · Good

Public record health check: Good.

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 88 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 ROB30G

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, 16:56

AI Analysis · MOT Narrative

Registered in 2017, this BMW X3 with plate ROB 30G has undergone 5 MOT inspections since March 2022.

The vehicle has achieved an overall 100% pass rate, with 5 passes and 0 failures recorded. 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