Where was the UK58V number plate registered?

Vehicles with the UK58V prefix were first registered in the UK through official DVLA regional allocation tag UK.

What year was a UK58V registration plate released?

The UK58V series was issued during September 2008 to February 2009.

What is the MOT pass rate for UK58V vehicles?

MOT pass rates for UK58V series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

UK58V Series Number Plates

UK vehicles during September 2008 to February 2009 with registration prefix UK58V.

Area Office: DVLA Region (UK)
Release Period: September 2008 to February 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

HYUNDAI 50% (1)

KIA 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Black1 vehicles

Green1 vehicles

Active Plates in UK58V Series(2 of 2 displayed)

Filter by 6th Letter:

UK58VAL

MOT Expired

KIA PICANTO SHADOW

Petrol · Green

First Used: Feb 2025
MOT Expiry: —
Tax Status: —
Color: Green

Check History & Specs

UK58VON

MOT Expired

HYUNDAI KONA N LINE S T-GDI AUTO

Petrol · Black

First Used: Nov 2023
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for UK58V Makes

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

HYUNDAI Common Problems KIA Common Problems

Frequently Asked Questions about UK58V Plates

Where was the UK58V number plate series registered?

Vehicles starting with UK58V were assigned to the DVLA regional office covering the UK. The first two letters (UK) identify the memory tag assigned by the DVLA.

What registration period is UK58V?

The UK58V age identifier corresponds to vehicles first registered between September 2008 to February 2009.

How can I check the MOT history of a UK58V 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.