Where was the TG54C number plate registered?

Vehicles with the TG54C prefix were first registered in the UK through official DVLA regional allocation tag TG.

What year was a TG54C registration plate released?

The TG54C series was issued during September 2004 to February 2005.

What is the MOT pass rate for TG54C vehicles?

Vehicles in the TG54C cohort demonstrate an average historical MOT pass rate of 100% based on 7 recorded DVSA inspections.

Batch Prefix Hub

TG54C Series Number Plates

UK vehicles during September 2004 to February 2005 with registration prefix TG54C.

Area Office: DVLA Region (TG)
Release Period: September 2004 to February 2005
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

SKODA 50% (1)

100%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

Grey2 vehicles

Active Plates in TG54C Series(2 of 2 displayed)

Filter by 6th Letter:

TG54CFS

MOT Valid

SKODA OCTAVIA VRS TSI

2.0L · Petrol · Grey

First Used: Sep 2022
MOT Expiry: 05 Jan 2027
Tax Status: —
Color: Grey

Check History & Specs

TG54CLS

MOT Valid

BMW X5

3.0L · Diesel · Grey

First Used: Jun 2019
MOT Expiry: 06 Jan 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TG54C Makes

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

BMW Common Problems SKODA Common Problems

Frequently Asked Questions about TG54C Plates

Where was the TG54C number plate series registered?

Vehicles starting with TG54C were assigned to the DVLA regional office covering the UK. The first two letters (TG) identify the memory tag assigned by the DVLA.

What registration period is TG54C?

The TG54C age identifier corresponds to vehicles first registered between September 2004 to February 2005.

How can I check the MOT history of a TG54C 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.