Where was the UN60D number plate registered?

Vehicles with the UN60D prefix were first registered in the UK through official DVLA regional allocation tag UN.

What year was a UN60D registration plate released?

The UN60D series was issued during September 2010 to February 2011.

What is the MOT pass rate for UN60D vehicles?

Vehicles in the UN60D cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

UN60D Series Number Plates

UK vehicles during September 2010 to February 2011 with registration prefix UN60D.

Area Office: DVLA Region (UN)
Release Period: September 2010 to February 2011
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

FORD 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey2 vehicles

Active Plates in UN60D Series(2 of 2 displayed)

Filter by 6th Letter:

UN60DEG

MOT Valid

AUDI A3

1.6L · Diesel · Grey

First Used: Dec 2016
MOT Expiry: 18 Dec 2026
Tax Status: —
Color: Grey

Check History & Specs

UN60DNT

MOT Expired

FORD TRANSIT CUSTOM 300LMTD EBLUE A

Diesel · Grey

First Used: Oct 2024
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for UN60D Makes

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

AUDI Common Problems FORD Common Problems

Frequently Asked Questions about UN60D Plates

Where was the UN60D number plate series registered?

Vehicles starting with UN60D 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 UN60D?

The UN60D age identifier corresponds to vehicles first registered between September 2010 to February 2011.

How can I check the MOT history of a UN60D 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.