Where was the UN10P number plate registered?

Vehicles with the UN10P prefix were first registered in the UK through official DVLA regional allocation tag UN.

What year was a UN10P registration plate released?

The UN10P series was issued during March 2010 to August 2010.

What is the MOT pass rate for UN10P vehicles?

Vehicles in the UN10P cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

UN10P Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix UN10P.

Area Office: DVLA Region (UN)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

Popular Makes

VOLKSWAGEN 100% (2)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in UN10P Series(2 of 2 displayed)

Filter by 6th Letter:

UN10PAV

MOT Expired

VOLKSWAGEN AMAROK

2.0L · Diesel · Black

First Used: Oct 2014
MOT Expiry: 19 Nov 2024
Tax Status: —
Color: Black

Check History & Specs

UN10PUP

MOT Valid

VOLKSWAGEN GOLF

1.4L · Hybrid Electric (Clean) · Grey

First Used: Aug 2018
MOT Expiry: 02 Sep 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for UN10P Makes

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

VOLKSWAGEN Common Problems

Frequently Asked Questions about UN10P Plates

Where was the UN10P number plate series registered?

Vehicles starting with UN10P 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 UN10P?

The UN10P age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a UN10P 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.