Where was the UL12A number plate registered?

Vehicles with the UL12A prefix were first registered in the UK through official DVLA regional allocation tag UL.

What year was a UL12A registration plate released?

The UL12A series was issued during March 2012 to August 2012.

What is the MOT pass rate for UL12A vehicles?

Vehicles in the UL12A cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

UL12A Series Number Plates

UK vehicles during March 2012 to August 2012 with registration prefix UL12A.

Area Office: DVLA Region (UL)
Release Period: March 2012 to August 2012
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

AUDI 50% (1)

MERCEDES-BENZ 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in UL12A Series(2 of 2 displayed)

Filter by 6th Letter:

UL12ANA

MOT Valid

MERCEDES-BENZ A-CLASS

1.6L · Petrol · Black

First Used: Apr 2017
MOT Expiry: 28 May 2026
Tax Status: —
Color: Black

Check History & Specs

UL12AYR

MOT Valid

AUDI A6

4.0L · Petrol · Blue

First Used: Oct 2017
MOT Expiry: 25 Sep 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for UL12A Makes

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

AUDI Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about UL12A Plates

Where was the UL12A number plate series registered?

Vehicles starting with UL12A were assigned to the DVLA regional office covering the UK. The first two letters (UL) identify the memory tag assigned by the DVLA.

What registration period is UL12A?

The UL12A age identifier corresponds to vehicles first registered between March 2012 to August 2012.

How can I check the MOT history of a UL12A 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.