Where was the GG62N number plate registered?

Vehicles with the GG62N prefix were first registered in Maidstone, Kent through official DVLA regional allocation tag GG.

What year was a GG62N registration plate released?

The GG62N series was issued during September 2012 to February 2013.

What is the MOT pass rate for GG62N vehicles?

Vehicles in the GG62N cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

GG62N Series Number Plates

UK vehicles registered in Maidstone, Kent during September 2012 to February 2013 with registration prefix GG62N.

Area Office: Maidstone (Maidstone, Kent)
Release Period: September 2012 to February 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

AUDI 100% (2)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

White1 vehicles

WHITE1 vehicles

Active Plates in GG62N Series(2 of 2 displayed)

Filter by 6th Letter:

GG62NAN

TaxedMOT Valid

AUDI Q7

3.0L · DIESEL · WHITE

First Used: Dec 2012
MOT Expiry: 16 Dec 2026
Tax Status: Taxed
Color: WHITE

Check History & Specs

GG62NER

MOT Valid

AUDI A1

1.4L · Petrol · White

First Used: Jul 2015
MOT Expiry: 17 Oct 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for GG62N Makes

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

AUDI Common Problems

Frequently Asked Questions about GG62N Plates

Where was the GG62N number plate series registered?

Vehicles starting with GG62N were assigned to the Maidstone covering Maidstone, Kent. The first two letters (GG) identify the memory tag assigned by the DVLA.

What registration period is GG62N?

The GG62N age identifier corresponds to vehicles first registered between September 2012 to February 2013.

How can I check the MOT history of a GG62N 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.