Where was the GT13V number plate registered?

Vehicles with the GT13V prefix were first registered in Canterbury, Kent through official DVLA regional allocation tag GT.

What year was a GT13V registration plate released?

The GT13V series was issued during March 2013 to August 2013.

What is the MOT pass rate for GT13V vehicles?

Vehicles in the GT13V cohort demonstrate an average historical MOT pass rate of 100% based on 3 recorded DVSA inspections.

Batch Prefix Hub

GT13V Series Number Plates

UK vehicles registered in Canterbury, Kent during March 2013 to August 2013 with registration prefix GT13V.

Area Office: Canterbury (Canterbury, Kent)
Release Period: March 2013 to August 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

VOLKSWAGEN 100% (2)

100%

Average MOT Pass Rate

Based on 3 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in GT13V Series(2 of 2 displayed)

GT13VAG

MOT Expired

VOLKSWAGEN ID7 MATCH PRO

Electric · Blue

First Used: Dec 2024
MOT Expiry: —
Tax Status: —
Color: Blue

Check History & Specs

GT13VAT

MOT Valid

VOLKSWAGEN GOLF

2.0L · Diesel · Grey

First Used: Mar 2013
MOT Expiry: 17 Nov 2026
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for GT13V 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 GT13V Plates

Where was the GT13V number plate series registered?

Vehicles starting with GT13V were assigned to the Canterbury covering Canterbury, Kent. The first two letters (GT) identify the memory tag assigned by the DVLA.

What registration period is GT13V?

The GT13V age identifier corresponds to vehicles first registered between March 2013 to August 2013.

How can I check the MOT history of a GT13V 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.