Where was the CU15K number plate registered?

Vehicles with the CU15K prefix were first registered in Swansea, Wales through official DVLA regional allocation tag CU.

What year was a CU15K registration plate released?

The CU15K series was issued during March 2015 to August 2015.

What is the MOT pass rate for CU15K vehicles?

Vehicles in the CU15K cohort demonstrate an average historical MOT pass rate of 100% based on 3 recorded DVSA inspections.

Batch Prefix Hub

CU15K Series Number Plates

UK vehicles registered in Swansea, Wales during March 2015 to August 2015 with registration prefix CU15K.

Area Office: Swansea (Swansea, Wales)
Release Period: March 2015 to August 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

SKODA 50% (1)

VOLKSWAGEN 50% (1)

100%

Average MOT Pass Rate

Based on 3 historical tests

Common Colors

Blue2 vehicles

Active Plates in CU15K Series(2 of 2 displayed)

CU15KEE

MOT Valid

SKODA SCALA

1.0L · Petrol · Blue

First Used: Sep 2021
MOT Expiry: 29 Sep 2026
Tax Status: —
Color: Blue

Check History & Specs

CU15KEY

MOT Valid

VOLKSWAGEN T-ROC

2.0L · Diesel · Blue

First Used: Sep 2022
MOT Expiry: 02 Oct 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for CU15K Makes

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

SKODA Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about CU15K Plates

Where was the CU15K number plate series registered?

Vehicles starting with CU15K were assigned to the Swansea covering Swansea, Wales. The first two letters (CU) identify the memory tag assigned by the DVLA.

What registration period is CU15K?

The CU15K age identifier corresponds to vehicles first registered between March 2015 to August 2015.

How can I check the MOT history of a CU15K 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.