Where was the UX10S number plate registered?

Vehicles with the UX10S prefix were first registered in the UK through official DVLA regional allocation tag UX.

What year was a UX10S registration plate released?

The UX10S series was issued during March 2010 to August 2010.

What is the MOT pass rate for UX10S vehicles?

Vehicles in the UX10S cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

UX10S Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix UX10S.

Area Office: DVLA Region (UX)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

CAN-AM 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Black1 vehicles

Red1 vehicles

Active Plates in UX10S Series(2 of 2 displayed)

Filter by 6th Letter:

UX10SEE

MOT Expired

CAN-AM MAVERICK

1.0L · Petrol · Red

First Used: Jun 2017
MOT Expiry: 13 May 2026
Tax Status: —
Color: Red

Check History & Specs

UX10SRX

MOT Expired

BMW 3 SERIES

3.0L · Diesel · Black

First Used: Apr 2010
MOT Expiry: 05 Jan 2024
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for UX10S Makes

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

BMW Common Problems CAN-AM Common Problems

Frequently Asked Questions about UX10S Plates

Where was the UX10S number plate series registered?

Vehicles starting with UX10S were assigned to the DVLA regional office covering the UK. The first two letters (UX) identify the memory tag assigned by the DVLA.

What registration period is UX10S?

The UX10S age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a UX10S 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.