Where was the TT51U number plate registered?

Vehicles with the TT51U prefix were first registered in the UK through official DVLA regional allocation tag TT.

What year was a TT51U registration plate released?

The TT51U series was issued during September 2001 to February 2002.

What is the MOT pass rate for TT51U vehicles?

Vehicles in the TT51U cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TT51U Series Number Plates

UK vehicles during September 2001 to February 2002 with registration prefix TT51U.

Area Office: DVLA Region (TT)
Release Period: September 2001 to February 2002
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

Popular Makes

AUDI 50% (1)

JEEP 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black1 vehicles

Silver1 vehicles

Active Plates in TT51U Series(2 of 2 displayed)

TT51UNA

MOT Valid

JEEP CHEROKEE

2.2L · Diesel · Black

First Used: Sep 2017
MOT Expiry: 05 Jun 2027
Tax Status: —
Color: Black

Check History & Specs

TT51UNT

MOT Expired

AUDI TT

1.8L · Petrol · Silver

First Used: Oct 2001
MOT Expiry: 04 Oct 2025
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for TT51U Makes

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

AUDI Common Problems JEEP Common Problems

Frequently Asked Questions about TT51U Plates

Where was the TT51U number plate series registered?

Vehicles starting with TT51U 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 TT51U?

The TT51U age identifier corresponds to vehicles first registered between September 2001 to February 2002.

How can I check the MOT history of a TT51U 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.