DVLA verified

MOT valid

Check service history

2016 MERCEDES-BENZ GLC2.1L Diesel

N50 ACR

Vehicle Insight Summary

MERCEDES-BENZ GLC (2016, Diesel, 2143cc) — mileage recorded at 56,956. MOT status: valid. Road tax: not taxed. Check full history before buying.

MOT

Valid

Expires 10/02/2027

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: 56,956
Fuel: Diesel
Year: 2016
Engine: 2143cc

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 N50ACR

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 2016, this Mercedes-Benz Glc with plate N50 ACR has undergone 5 MOT inspections since February 2024.

Across its entire MOT history, this Mercedes-Benz has a 60% success rate (3 passes and 2 fails). While not perfect, the history shows a relatively typical pattern of MOT passes and fails.

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

PASS

FAIL

ADVISORY