Where was the GE17G number plate registered?

Vehicles with the GE17G prefix were first registered in Maidstone, Kent through official DVLA regional allocation tag GE.

What year was a GE17G registration plate released?

The GE17G series was issued during March 2017 to August 2017.

What is the MOT pass rate for GE17G vehicles?

Vehicles in the GE17G cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

GE17G Series Number Plates

UK vehicles registered in Maidstone, Kent during March 2017 to August 2017 with registration prefix GE17G.

Area Office: Maidstone (Maidstone, Kent)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

VOLKSWAGEN 100% (2)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

Silver1 vehicles

Active Plates in GE17G Series(2 of 2 displayed)

GE17GEN

MOT Valid

VOLKSWAGEN POLO

1.0L · Petrol · Silver

First Used: Oct 2018
MOT Expiry: 04 Apr 2027
Tax Status: —
Color: Silver

Check History & Specs

GE17GET

MOT Valid

VOLKSWAGEN TRANSPORTER

2.0L · Diesel · Grey

First Used: Oct 2018
MOT Expiry: 11 Oct 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for GE17G Makes

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

VOLKSWAGEN Common Problems

Frequently Asked Questions about GE17G Plates

Where was the GE17G number plate series registered?

Vehicles starting with GE17G were assigned to the Maidstone covering Maidstone, Kent. The first two letters (GE) identify the memory tag assigned by the DVLA.

What registration period is GE17G?

The GE17G age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a GE17G 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.