Where was the TT57U number plate registered?

Vehicles with the TT57U prefix were first registered in the UK through official DVLA regional allocation tag TT.

What year was a TT57U registration plate released?

The TT57U series was issued during September 2007 to February 2008.

What is the MOT pass rate for TT57U vehicles?

Vehicles in the TT57U cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TT57U Series Number Plates

UK vehicles during September 2007 to February 2008 with registration prefix TT57U.

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

Popular Makes

AUDI 50% (1)

LAND ROVER 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in TT57U Series(2 of 2 displayed)

TT57URF

MOT Valid

LAND ROVER DEFENDER

2.4L · Diesel · Blue

First Used: Jun 2008
MOT Expiry: 26 Feb 2027
Tax Status: —
Color: Blue

Check History & Specs

TT57URS

MOT Valid

AUDI A4

2.0L · Diesel · White

First Used: May 2015
MOT Expiry: 12 Nov 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TT57U Makes

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

AUDI Common Problems LAND ROVER Common Problems

Frequently Asked Questions about TT57U Plates

Where was the TT57U number plate series registered?

Vehicles starting with TT57U 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 TT57U?

The TT57U age identifier corresponds to vehicles first registered between September 2007 to February 2008.

How can I check the MOT history of a TT57U 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.