Where was the TT57G number plate registered?

Vehicles with the TT57G prefix were first registered in the UK through official DVLA regional allocation tag TT.

What year was a TT57G registration plate released?

The TT57G series was issued during September 2007 to February 2008.

What is the MOT pass rate for TT57G vehicles?

Vehicles in the TT57G cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TT57G Series Number Plates

UK vehicles during September 2007 to February 2008 with registration prefix TT57G.

Area Office: DVLA Region (TT)
Release Period: September 2007 to February 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

Popular Makes

AUDI 50% (1)

VOLKSWAGEN 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in TT57G Series(2 of 2 displayed)

Filter by 6th Letter:

TT57GEM

MOT Valid

AUDI TT

1.8L · Petrol · Blue

First Used: Mar 2010
MOT Expiry: 11 Oct 2026
Tax Status: —
Color: Blue

Check History & Specs

TT57GUN

MOT Valid

VOLKSWAGEN AMAROK

2.0L · Diesel · Black

First Used: Mar 2015
MOT Expiry: 17 Jun 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TT57G Makes

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

AUDI Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about TT57G Plates

Where was the TT57G number plate series registered?

Vehicles starting with TT57G were assigned to the DVLA regional office covering the UK. The first two letters (TT) identify the memory tag assigned by the DVLA.

What registration period is TT57G?

The TT57G age identifier corresponds to vehicles first registered between September 2007 to February 2008.

How can I check the MOT history of a TT57G 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.