Where was the UO10B number plate registered?

Vehicles with the UO10B prefix were first registered in the UK through official DVLA regional allocation tag UO.

What year was a UO10B registration plate released?

The UO10B series was issued during March 2010 to August 2010.

What is the MOT pass rate for UO10B vehicles?

Vehicles in the UO10B cohort demonstrate an average historical MOT pass rate of 83.3% based on 6 recorded DVSA inspections.

Batch Prefix Hub

UO10B Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix UO10B.

Area Office: DVLA Region (UO)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 83.3%

Popular Makes

FIAT 50% (1)

MAZDA 50% (1)

83.3%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Green1 vehicles

GREY1 vehicles

Active Plates in UO10B Series(2 of 2 displayed)

UO10BEC

TaxedMOT Valid

FIAT 500

1.2L · Petrol · Green

First Used: Sep 2017
MOT Expiry: 08 Jun 2027
Tax Status: Taxed
Color: Green

Check History & Specs

UO10BEN

TaxedMOT Valid

MAZDA MX-5 RF EXCLUSIVE-LINE AUTO

2.0L · PETROL · GREY

First Used: Jun 2023
MOT Expiry: 10 Jun 2027
Tax Status: Taxed
Color: GREY

Check History & Specs

Reliability & Common Problem Guides for UO10B Makes

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

FIAT Common Problems MAZDA Common Problems

Frequently Asked Questions about UO10B Plates

Where was the UO10B number plate series registered?

Vehicles starting with UO10B were assigned to the DVLA regional office covering the UK. The first two letters (UO) identify the memory tag assigned by the DVLA.

What registration period is UO10B?

The UO10B age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a UO10B 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.