Where was the UN12P number plate registered?

Vehicles with the UN12P prefix were first registered in the UK through official DVLA regional allocation tag UN.

What year was a UN12P registration plate released?

The UN12P series was issued during March 2012 to August 2012.

What is the MOT pass rate for UN12P vehicles?

Vehicles in the UN12P cohort demonstrate an average historical MOT pass rate of 83.3% based on 6 recorded DVSA inspections.

Batch Prefix Hub

UN12P Series Number Plates

UK vehicles during March 2012 to August 2012 with registration prefix UN12P.

Area Office: DVLA Region (UN)
Release Period: March 2012 to August 2012
Tracked in Batch: 2 vehicles
MOT Pass Rate: 83.3%

Popular Makes

BMW 50% (1)

FORD 50% (1)

83.3%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in UN12P Series(2 of 2 displayed)

Filter by 6th Letter:

UN12PAK

MOT Valid

BMW X3

2.0L · Diesel · Black

First Used: Jan 2013
MOT Expiry: 05 May 2027
Tax Status: —
Color: Black

Check History & Specs

UN12PEG

MOT Valid

FORD FIESTA TITANIUM TURBO MHEV A

1.0L · Petrol · Grey

First Used: Feb 2023
MOT Expiry: 23 Feb 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for UN12P Makes

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

BMW Common Problems FORD Common Problems

Frequently Asked Questions about UN12P Plates

Where was the UN12P number plate series registered?

Vehicles starting with UN12P were assigned to the DVLA regional office covering the UK. The first two letters (UN) identify the memory tag assigned by the DVLA.

What registration period is UN12P?

The UN12P age identifier corresponds to vehicles first registered between March 2012 to August 2012.

How can I check the MOT history of a UN12P 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.