Where was the UR18M number plate registered?

Vehicles with the UR18M prefix were first registered in the UK through official DVLA regional allocation tag UR.

What year was a UR18M registration plate released?

The UR18M series was issued during March 2018 to August 2018.

What is the MOT pass rate for UR18M vehicles?

Vehicles in the UR18M cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

UR18M Series Number Plates

UK vehicles during March 2018 to August 2018 with registration prefix UR18M.

Area Office: DVLA Region (UR)
Release Period: March 2018 to August 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

Popular Makes

DS 50% (1)

VOLKSWAGEN 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Cream1 vehicles

Silver1 vehicles

Active Plates in UR18M Series(2 of 2 displayed)

Filter by 6th Letter:

UR18MAD

MOT Valid

VOLKSWAGEN POLO

1.0L · Petrol · Silver

First Used: Jul 2018
MOT Expiry: 30 Jul 2027
Tax Status: —
Color: Silver

Check History & Specs

UR18MEL

MOT Valid

DS DS3

1.2L · Petrol · Cream

First Used: Mar 2018
MOT Expiry: 18 Mar 2027
Tax Status: —
Color: Cream

Check History & Specs

Reliability & Common Problem Guides for UR18M Makes

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

DS Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UR18M Plates

Where was the UR18M number plate series registered?

Vehicles starting with UR18M were assigned to the DVLA regional office covering the UK. The first two letters (UR) identify the memory tag assigned by the DVLA.

What registration period is UR18M?

The UR18M age identifier corresponds to vehicles first registered between March 2018 to August 2018.

How can I check the MOT history of a UR18M 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.