Where was the GH06E number plate registered?

Vehicles with the GH06E prefix were first registered in Maidstone, Kent through official DVLA regional allocation tag GH.

What year was a GH06E registration plate released?

The GH06E series was issued during March 2006 to August 2006.

What is the MOT pass rate for GH06E vehicles?

Vehicles in the GH06E cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

GH06E Series Number Plates

UK vehicles registered in Maidstone, Kent during March 2006 to August 2006 with registration prefix GH06E.

Area Office: Maidstone (Maidstone, Kent)
Release Period: March 2006 to August 2006
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

BMW 100% (2)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

Silver1 vehicles

Active Plates in GH06E Series(2 of 2 displayed)

Filter by 6th Letter:

GH06EMA

MOT Valid

BMW X4

3.0L · Diesel · Silver

First Used: Jun 2016
MOT Expiry: 30 Jun 2027
Tax Status: —
Color: Silver

Check History & Specs

GH06ETH

MOT Valid

BMW Z4

3.2L · Petrol · Blue

First Used: Mar 2007
MOT Expiry: 03 Jul 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for GH06E Makes

Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:

BMW Common Problems

Frequently Asked Questions about GH06E Plates

Where was the GH06E number plate series registered?

Vehicles starting with GH06E were assigned to the Maidstone covering Maidstone, Kent. The first two letters (GH) identify the memory tag assigned by the DVLA.

What registration period is GH06E?

The GH06E age identifier corresponds to vehicles first registered between March 2006 to August 2006.

How can I check the MOT history of a GH06E vehicle?

Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.