Where was the UV10S number plate registered?

Vehicles with the UV10S prefix were first registered in the UK through official DVLA regional allocation tag UV.

What year was a UV10S registration plate released?

The UV10S series was issued during March 2010 to August 2010.

What is the MOT pass rate for UV10S vehicles?

Vehicles in the UV10S cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UV10S Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix UV10S.

Area Office: DVLA Region (UV)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

Popular Makes

FORD 50% (1)

VOLKSWAGEN 50% (1)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in UV10S Series(2 of 2 displayed)

Filter by 6th Letter:

UV10SAM

MOT Valid

FORD FIESTA

1.0L · Petrol · Black

First Used: Jun 2019
MOT Expiry: 16 Apr 2027
Tax Status: —
Color: Black

Check History & Specs

UV10SER

MOT Valid

VOLKSWAGEN GOLF

1.4L · Petrol · Blue

First Used: Sep 2016
MOT Expiry: 24 Jul 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for UV10S Makes

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

FORD Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UV10S Plates

Where was the UV10S number plate series registered?

Vehicles starting with UV10S were assigned to the DVLA regional office covering the UK. The first two letters (UV) identify the memory tag assigned by the DVLA.

What registration period is UV10S?

The UV10S age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a UV10S 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.