DVLA verified

MOT valid

Check service history

2016 BMW X33.0L Diesel

H6 GRT

Vehicle Insight Summary

Considering this 2016 BMW X3? It's a Diesel with a 2993cc engine showing 80,304 miles. MOT is valid and it's not currently taxed. View the full DVLA history below.

MOT

Valid

Expires 26/08/2026

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: 80,304
Fuel: Diesel
Year: 2016
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 H6GRT

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

Our records for this BMW X3 (H6 GRT) from 2016 show a total of 5 MOT tests between August 2021 and August 2025.

With 5 passes and 0 failures, the lifetime MOT pass rate stands at 100%. Such a high pass rate is a positive indicator of the car's general condition and maintenance history.

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

PASS

FAIL

ADVISORY