Where was the JG58T number plate registered?

Vehicles with the JG58T prefix were first registered in the UK through official DVLA regional allocation tag JG.

What year was a JG58T registration plate released?

The JG58T series was issued during September 2008 to February 2009.

What is the MOT pass rate for JG58T vehicles?

Vehicles in the JG58T cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JG58T Series Number Plates

UK vehicles during September 2008 to February 2009 with registration prefix JG58T.

Area Office: DVLA Region (JG)
Release Period: September 2008 to February 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

Popular Makes

FORD 50% (1)

TRIUMPH 50% (1)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Green1 vehicles

White1 vehicles

Active Plates in JG58T Series(2 of 2 displayed)

JG58TON

MOT Valid

TRIUMPH STREET

0.9L · Petrol · Green

First Used: Nov 2018
MOT Expiry: 25 Feb 2027
Tax Status: —
Color: Green

Check History & Specs

JG58TOW

MOT Valid

FORD TRANSIT

2.4L · Diesel · White

First Used: Feb 2009
MOT Expiry: 08 Jul 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JG58T Makes

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

FORD Common Problems TRIUMPH Common Problems

Frequently Asked Questions about JG58T Plates

Where was the JG58T number plate series registered?

Vehicles starting with JG58T were assigned to the DVLA regional office covering the UK. The first two letters (JG) identify the memory tag assigned by the DVLA.

What registration period is JG58T?

The JG58T age identifier corresponds to vehicles first registered between September 2008 to February 2009.

How can I check the MOT history of a JG58T 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.