Where was the UR10V number plate registered?

Vehicles with the UR10V prefix were first registered in the UK through official DVLA regional allocation tag UR.

What year was a UR10V registration plate released?

The UR10V series was issued during March 2010 to August 2010.

What is the MOT pass rate for UR10V vehicles?

Vehicles in the UR10V cohort demonstrate an average historical MOT pass rate of 62.5% based on 8 recorded DVSA inspections.

Batch Prefix Hub

UR10V Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix UR10V.

Area Office: DVLA Region (UR)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 62.5%

Popular Makes

LAND ROVER 50% (1)

NISSAN 50% (1)

62.5%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in UR10V Series(2 of 2 displayed)

UR10VES

MOT Valid

NISSAN GT-R

3.8L · Petrol · Black

First Used: Mar 2021
MOT Expiry: 29 May 2027
Tax Status: —
Color: Black

Check History & Specs

UR10VEX

MOT Valid

LAND ROVER RANGE ROVER

4.4L · Diesel · Grey

First Used: Jul 2019
MOT Expiry: 13 Aug 2026
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for UR10V Makes

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

LAND ROVER Common Problems NISSAN Common Problems

Frequently Asked Questions about UR10V Plates

Where was the UR10V number plate series registered?

Vehicles starting with UR10V 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 UR10V?

The UR10V age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a UR10V 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.