Where was the GP09E number plate registered?

Vehicles with the GP09E prefix were first registered in Canterbury, Kent through official DVLA regional allocation tag GP.

What year was a GP09E registration plate released?

The GP09E series was issued during March 2009 to August 2009.

What is the MOT pass rate for GP09E vehicles?

Vehicles in the GP09E cohort demonstrate an average historical MOT pass rate of 100% based on 10 recorded DVSA inspections.

Batch Prefix Hub

GP09E Series Number Plates

UK vehicles registered in Canterbury, Kent during March 2009 to August 2009 with registration prefix GP09E.

Area Office: Canterbury (Canterbury, Kent)
Release Period: March 2009 to August 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

NISSAN 50% (1)

100%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in GP09E Series(2 of 2 displayed)

Filter by 6th Letter:

GP09EAP

MOT Valid

NISSAN NAVARA

2.3L · Diesel · Grey

First Used: Sep 2018
MOT Expiry: 16 Sep 2026
Tax Status: —
Color: Grey

Check History & Specs

GP09ELL

MOT Valid

FORD KUGA

2.0L · Diesel · Blue

First Used: Mar 2017
MOT Expiry: 28 Jan 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for GP09E Makes

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

FORD Common Problems NISSAN Common Problems

Frequently Asked Questions about GP09E Plates

Where was the GP09E number plate series registered?

Vehicles starting with GP09E were assigned to the Canterbury covering Canterbury, Kent. The first two letters (GP) identify the memory tag assigned by the DVLA.

What registration period is GP09E?

The GP09E age identifier corresponds to vehicles first registered between March 2009 to August 2009.

How can I check the MOT history of a GP09E 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.