Where was the CU12M number plate registered?

Vehicles with the CU12M prefix were first registered in Swansea, Wales through official DVLA regional allocation tag CU.

What year was a CU12M registration plate released?

The CU12M series was issued during March 2012 to August 2012.

What is the MOT pass rate for CU12M vehicles?

Vehicles in the CU12M cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

CU12M Series Number Plates

UK vehicles registered in Swansea, Wales during March 2012 to August 2012 with registration prefix CU12M.

Area Office: Swansea (Swansea, Wales)
Release Period: March 2012 to August 2012
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

CUPRA 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey1 vehicles

Silver1 vehicles

Active Plates in CU12M Series(2 of 2 displayed)

CU12MAR

MOT Valid

BMW X1

2.0L · Diesel · Silver

First Used: Jan 2017
MOT Expiry: 15 Jan 2027
Tax Status: —
Color: Silver

Check History & Specs

CU12MAS

MOT Expired

CUPRA TAVASCAN V1 EV

Electric · Grey

First Used: Apr 2025
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for CU12M Makes

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

BMW Common Problems CUPRA Common Problems

Frequently Asked Questions about CU12M Plates

Where was the CU12M number plate series registered?

Vehicles starting with CU12M 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 CU12M?

The CU12M age identifier corresponds to vehicles first registered between March 2012 to August 2012.

How can I check the MOT history of a CU12M 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.