Where was the TN55L number plate registered?

Vehicles with the TN55L prefix were first registered in the UK through official DVLA regional allocation tag TN.

What year was a TN55L registration plate released?

The TN55L series was issued during September 2005 to February 2006.

What is the MOT pass rate for TN55L vehicles?

Vehicles in the TN55L cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TN55L Series Number Plates

UK vehicles during September 2005 to February 2006 with registration prefix TN55L.

Area Office: DVLA Region (TN)
Release Period: September 2005 to February 2006
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

AUDI 50% (1)

MAZDA 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Red1 vehicles

Active Plates in TN55L Series(2 of 2 displayed)

Filter by 6th Letter:

TN55LEX

MOT Valid

MAZDA CX-5

2.2L · Diesel · Red

First Used: Mar 2018
MOT Expiry: 29 Jan 2027
Tax Status: —
Color: Red

Check History & Specs

TN55LVN

MOT Valid

AUDI Q2

1.4L · Petrol · Black

First Used: Sep 2017
MOT Expiry: 17 Jun 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TN55L Makes

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

AUDI Common Problems MAZDA Common Problems

Frequently Asked Questions about TN55L Plates

Where was the TN55L number plate series registered?

Vehicles starting with TN55L were assigned to the DVLA regional office covering the UK. The first two letters (TN) identify the memory tag assigned by the DVLA.

What registration period is TN55L?

The TN55L age identifier corresponds to vehicles first registered between September 2005 to February 2006.

How can I check the MOT history of a TN55L 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.