Where was the TP57L number plate registered?

Vehicles with the TP57L prefix were first registered in the UK through official DVLA regional allocation tag TP.

What year was a TP57L registration plate released?

The TP57L series was issued during September 2007 to February 2008.

What is the MOT pass rate for TP57L vehicles?

Vehicles in the TP57L cohort demonstrate an average historical MOT pass rate of 60% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TP57L Series Number Plates

UK vehicles during September 2007 to February 2008 with registration prefix TP57L.

Area Office: DVLA Region (TP)
Release Period: September 2007 to February 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

LEXUS 50% (1)

VOLKSWAGEN 50% (1)

60%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

Red1 vehicles

Active Plates in TP57L Series(2 of 2 displayed)

TP57LEV

MOT Valid

VOLKSWAGEN POLO

1.2L · Petrol · Red

First Used: Sep 2013
MOT Expiry: 29 Jan 2027
Tax Status: —
Color: Red

Check History & Specs

TP57LEX

MOT Expired

LEXUS RX400H

3.3L · Electric · Grey

First Used: Jan 2008
MOT Expiry: 26 Nov 2024
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TP57L Makes

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

LEXUS Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about TP57L Plates

Where was the TP57L number plate series registered?

Vehicles starting with TP57L were assigned to the DVLA regional office covering the UK. The first two letters (TP) identify the memory tag assigned by the DVLA.

What registration period is TP57L?

The TP57L age identifier corresponds to vehicles first registered between September 2007 to February 2008.

How can I check the MOT history of a TP57L 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.