Where was the CG64T number plate registered?

Vehicles with the CG64T prefix were first registered in Cardiff, Wales through official DVLA regional allocation tag CG.

What year was a CG64T registration plate released?

The CG64T series was issued during September 2014 to February 2015.

What is the MOT pass rate for CG64T vehicles?

Vehicles in the CG64T cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

CG64T Series Number Plates

UK vehicles registered in Cardiff, Wales during September 2014 to February 2015 with registration prefix CG64T.

Area Office: Cardiff (Cardiff, Wales)
Release Period: September 2014 to February 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

FORD 100% (2)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Silver2 vehicles

Active Plates in CG64T Series(2 of 2 displayed)

Filter by 6th Letter:

CG64TJG

MOT Valid

FORD RANGER

2.2L · Diesel · Silver

First Used: Sep 2016
MOT Expiry: 10 Oct 2027
Tax Status: —
Color: Silver

Check History & Specs

CG64TOW

MOT Valid

FORD TRANSIT

2.2L · Diesel · Silver

First Used: May 2015
MOT Expiry: 07 Oct 2026
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for CG64T Makes

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

FORD Common Problems

Frequently Asked Questions about CG64T Plates

Where was the CG64T number plate series registered?

Vehicles starting with CG64T were assigned to the Cardiff covering Cardiff, Wales. The first two letters (CG) identify the memory tag assigned by the DVLA.

What registration period is CG64T?

The CG64T age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a CG64T 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.