Where was the TC58M number plate registered?

Vehicles with the TC58M prefix were first registered in the UK through official DVLA regional allocation tag TC.

What year was a TC58M registration plate released?

The TC58M series was issued during September 2008 to February 2009.

What is the MOT pass rate for TC58M vehicles?

Vehicles in the TC58M cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TC58M Series Number Plates

UK vehicles during September 2008 to February 2009 with registration prefix TC58M.

Area Office: DVLA Region (TC)
Release Period: September 2008 to February 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

BMW 50% (1)

FIAT 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in TC58M Series(2 of 2 displayed)

Filter by 6th Letter:

TC58MEL

MOT Valid

BMW 420

2.0L · Petrol · White

First Used: Mar 2019
MOT Expiry: 19 Mar 2027
Tax Status: —
Color: White

Check History & Specs

TC58MJC

MOT Valid

FIAT DUCATO

2.3L · Diesel · Grey

First Used: Jul 2014
MOT Expiry: 01 May 2026
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TC58M Makes

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

BMW Common Problems FIAT Common Problems

Frequently Asked Questions about TC58M Plates

Where was the TC58M number plate series registered?

Vehicles starting with TC58M were assigned to the DVLA regional office covering the UK. The first two letters (TC) identify the memory tag assigned by the DVLA.

What registration period is TC58M?

The TC58M age identifier corresponds to vehicles first registered between September 2008 to February 2009.

How can I check the MOT history of a TC58M 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.