Where was the GW18C number plate registered?

Vehicles with the GW18C prefix were first registered in Canterbury, Kent through official DVLA regional allocation tag GW.

What year was a GW18C registration plate released?

The GW18C series was issued during March 2018 to August 2018.

What is the MOT pass rate for GW18C vehicles?

Vehicles in the GW18C cohort demonstrate an average historical MOT pass rate of 85.7% based on 7 recorded DVSA inspections.

Batch Prefix Hub

GW18C Series Number Plates

UK vehicles registered in Canterbury, Kent during March 2018 to August 2018 with registration prefix GW18C.

Area Office: Canterbury (Canterbury, Kent)
Release Period: March 2018 to August 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 85.7%

Popular Makes

HONDA 100% (2)

85.7%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

Red2 vehicles

Active Plates in GW18C Series(2 of 2 displayed)

Filter by 6th Letter:

GW18CAB

MOT Expired

HONDA GL 1800 DA-K

1.8L · Petrol · Red

First Used: May 2021
MOT Expiry: 13 May 2026
Tax Status: —
Color: Red

Check History & Specs

GW18CGW

MOT Valid

HONDA JAZZ

1.3L · Petrol · Red

First Used: Aug 2018
MOT Expiry: 29 Aug 2027
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for GW18C Makes

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

HONDA Common Problems

Frequently Asked Questions about GW18C Plates

Where was the GW18C number plate series registered?

Vehicles starting with GW18C were assigned to the Canterbury covering Canterbury, Kent. The first two letters (GW) identify the memory tag assigned by the DVLA.

What registration period is GW18C?

The GW18C age identifier corresponds to vehicles first registered between March 2018 to August 2018.

How can I check the MOT history of a GW18C 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.