Where was the UJ05S number plate registered?

Vehicles with the UJ05S prefix were first registered in the UK through official DVLA regional allocation tag UJ.

What year was a UJ05S registration plate released?

The UJ05S series was issued during March 2005 to August 2005.

What is the MOT pass rate for UJ05S vehicles?

Vehicles in the UJ05S cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

UJ05S Series Number Plates

UK vehicles during March 2005 to August 2005 with registration prefix UJ05S.

Area Office: DVLA Region (UJ)
Release Period: March 2005 to August 2005
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

FORD 50% (1)

SUZUKI 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in UJ05S Series(2 of 2 displayed)

Filter by 6th Letter:

UJ05SAN

MOT Valid

SUZUKI SWIFT

1.0L · Hybrid Electric (Clean) · Grey

First Used: Jul 2017
MOT Expiry: 21 Jul 2027
Tax Status: —
Color: Grey

Check History & Specs

UJ05SHA

MOT Valid

FORD FIESTA

1.0L · Petrol · Blue

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

Check History & Specs

Reliability & Common Problem Guides for UJ05S Makes

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

FORD Common Problems SUZUKI Common Problems

Frequently Asked Questions about UJ05S Plates

Where was the UJ05S number plate series registered?

Vehicles starting with UJ05S were assigned to the DVLA regional office covering the UK. The first two letters (UJ) identify the memory tag assigned by the DVLA.

What registration period is UJ05S?

The UJ05S age identifier corresponds to vehicles first registered between March 2005 to August 2005.

How can I check the MOT history of a UJ05S 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.