Where was the TT10X number plate registered?

Vehicles with the TT10X prefix were first registered in the UK through official DVLA regional allocation tag TT.

What year was a TT10X registration plate released?

The TT10X series was issued during March 2010 to August 2010.

What is the MOT pass rate for TT10X vehicles?

Vehicles in the TT10X cohort demonstrate an average historical MOT pass rate of 75% based on 8 recorded DVSA inspections.

Batch Prefix Hub

TT10X Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix TT10X.

Area Office: DVLA Region (TT)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 75%

Popular Makes

AUDI 50% (1)

JAGUAR 50% (1)

75%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

BLACK1 vehicles

Blue1 vehicles

Active Plates in TT10X Series(2 of 2 displayed)

Filter by 6th Letter:

TT10XKR

MOT Valid

JAGUAR XKR

5.0L · Petrol · Blue

First Used: May 2010
MOT Expiry: 29 May 2026
Tax Status: —
Color: Blue

Check History & Specs

TT10XXX

MOT Expired

AUDI TT S LINE TDI QUATTRO

2.0L · Diesel · BLACK

First Used: Sep 2011
MOT Expiry: 14 Apr 2024
Tax Status: —
Color: BLACK

Check History & Specs

Reliability & Common Problem Guides for TT10X Makes

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

AUDI Common Problems JAGUAR Common Problems

Frequently Asked Questions about TT10X Plates

Where was the TT10X number plate series registered?

Vehicles starting with TT10X 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 TT10X?

The TT10X age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a TT10X 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.