DVLA verified

MOT valid

2016 MITSUBISHI OUTLANDER2.0L Hybrid Electric (Clean)

NIL 611

Vehicle Insight Summary

Considering this 2016 MITSUBISHI OUTLANDER? It's a Hybrid Electric (Clean) with a 1998cc engine showing 115,360 miles. MOT is valid and it's not currently taxed. View the full DVLA history below.

MOT

Valid

Expires 13/10/2026

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: 115,360
Fuel: Hybrid Electric (Clean)
Year: 2016
Engine: 1998cc

Free vehicle health score

/ 100 · Average

Public record health check: Average.

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

✓ Valid MOT

! Tax Status Unknown

! Average MOT pass rate (60%)

A score of 73 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 NIL611

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: 16 May 2026, 02:04

AI Analysis · MOT Narrative

Registered in 2016, this Mitsubishi Outlander with plate NIL 611 has undergone 5 MOT inspections since October 2023.

Across its entire MOT history, this Mitsubishi has a 60% success rate (3 passes and 2 fails). A decent overall history, though the failure record warrants a closer look for any patterns.

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

PASS

FAIL

ADVISORY