Where was the TN57H number plate registered?

Vehicles with the TN57H prefix were first registered in the UK through official DVLA regional allocation tag TN.

What year was a TN57H registration plate released?

The TN57H series was issued during September 2007 to February 2008.

What is the MOT pass rate for TN57H vehicles?

Vehicles in the TN57H cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TN57H Series Number Plates

UK vehicles during September 2007 to February 2008 with registration prefix TN57H.

Area Office: DVLA Region (TN)
Release Period: September 2007 to February 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

MG 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey1 vehicles

Silver1 vehicles

Active Plates in TN57H Series(2 of 2 displayed)

TN57HAN

MOT Expired

VOLKSWAGEN TRANSPORTER

2.0L · Diesel · Silver

First Used: May 2018
MOT Expiry: 15 Apr 2026
Tax Status: —
Color: Silver

Check History & Specs

TN57HAR

MOT Expired

MG HS TROPHY AUTO

Petrol · Grey

First Used: Mar 2025
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TN57H Makes

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

MG Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about TN57H Plates

Where was the TN57H number plate series registered?

Vehicles starting with TN57H 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 TN57H?

The TN57H age identifier corresponds to vehicles first registered between September 2007 to February 2008.

How can I check the MOT history of a TN57H 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.