Where was the TJ58C number plate registered?

Vehicles with the TJ58C prefix were first registered in the UK through official DVLA regional allocation tag TJ.

What year was a TJ58C registration plate released?

The TJ58C series was issued during September 2008 to February 2009.

What is the MOT pass rate for TJ58C vehicles?

Vehicles in the TJ58C cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TJ58C Series Number Plates

UK vehicles during September 2008 to February 2009 with registration prefix TJ58C.

Area Office: DVLA Region (TJ)
Release Period: September 2008 to February 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

BMW 50% (1)

TOYOTA 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in TJ58C Series(2 of 2 displayed)

Filter by 6th Letter:

TJ58CAZ

MOT Valid

BMW X5

3.0L · Diesel · Black

First Used: Mar 2013
MOT Expiry: 26 May 2027
Tax Status: —
Color: Black

Check History & Specs

TJ58CHR

MOT Valid

TOYOTA C-HR

1.2L · Petrol · Blue

First Used: Feb 2019
MOT Expiry: 03 Feb 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TJ58C Makes

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

BMW Common Problems TOYOTA Common Problems

Frequently Asked Questions about TJ58C Plates

Where was the TJ58C number plate series registered?

Vehicles starting with TJ58C were assigned to the DVLA regional office covering the UK. The first two letters (TJ) identify the memory tag assigned by the DVLA.

What registration period is TJ58C?

The TJ58C age identifier corresponds to vehicles first registered between September 2008 to February 2009.

How can I check the MOT history of a TJ58C 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.