Where was the TT66B number plate registered?

Vehicles with the TT66B prefix were first registered in the UK through official DVLA regional allocation tag TT.

What year was a TT66B registration plate released?

The TT66B series was issued during September 2016 to February 2017.

What is the MOT pass rate for TT66B vehicles?

Vehicles in the TT66B cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

TT66B Series Number Plates

UK vehicles during September 2016 to February 2017 with registration prefix TT66B.

Area Office: DVLA Region (TT)
Release Period: September 2016 to February 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

JAGUAR 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Black2 vehicles

Active Plates in TT66B Series(2 of 2 displayed)

Filter by 6th Letter:

TT66BAD

MOT Valid

AUDI TT

2.5L · Petrol · Black

First Used: Dec 2017
MOT Expiry: 30 Jun 2027
Tax Status: —
Color: Black

Check History & Specs

TT66BOB

MOT Valid

JAGUAR F-PACE

2.0L · Diesel · Black

First Used: Mar 2017
MOT Expiry: 17 May 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TT66B 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 TT66B Plates

Where was the TT66B number plate series registered?

Vehicles starting with TT66B 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 TT66B?

The TT66B age identifier corresponds to vehicles first registered between September 2016 to February 2017.

How can I check the MOT history of a TT66B 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.