Where was the CD14V number plate registered?

Vehicles with the CD14V prefix were first registered in Cardiff, Wales through official DVLA regional allocation tag CD.

What year was a CD14V registration plate released?

The CD14V series was issued during March 2014 to August 2014.

What is the MOT pass rate for CD14V vehicles?

Vehicles in the CD14V cohort demonstrate an average historical MOT pass rate of 100% based on 8 recorded DVSA inspections.

Batch Prefix Hub

CD14V Series Number Plates

UK vehicles registered in Cardiff, Wales during March 2014 to August 2014 with registration prefix CD14V.

Area Office: Cardiff (Cardiff, Wales)
Release Period: March 2014 to August 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

MAZDA 50% (1)

100%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

White2 vehicles

Active Plates in CD14V Series(2 of 2 displayed)

CD14VED

MOT Expired

FORD TRANSIT

2.2L · Diesel · White

First Used: Mar 2016
MOT Expiry: 09 Apr 2026
Tax Status: —
Color: White

Check History & Specs

CD14VEY

MOT Valid

MAZDA 3

2.0L · Petrol · White

First Used: May 2018
MOT Expiry: 18 May 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for CD14V Makes

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

FORD Common Problems MAZDA Common Problems

Frequently Asked Questions about CD14V Plates

Where was the CD14V number plate series registered?

Vehicles starting with CD14V were assigned to the Cardiff covering Cardiff, Wales. The first two letters (CD) identify the memory tag assigned by the DVLA.

What registration period is CD14V?

The CD14V age identifier corresponds to vehicles first registered between March 2014 to August 2014.

How can I check the MOT history of a CD14V 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.