Where was the TG66S number plate registered?

Vehicles with the TG66S prefix were first registered in the UK through official DVLA regional allocation tag TG.

What year was a TG66S registration plate released?

The TG66S series was issued during September 2016 to February 2017.

What is the MOT pass rate for TG66S vehicles?

Vehicles in the TG66S cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TG66S Series Number Plates

UK vehicles during September 2016 to February 2017 with registration prefix TG66S.

Area Office: DVLA Region (TG)
Release Period: September 2016 to February 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

MINI 50% (1)

TESLA 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in TG66S Series(2 of 2 displayed)

Filter by 6th Letter:

TG66SAM

MOT Expired

MINI JOHN COOPER WORKS AUTO

Petrol · Grey

First Used: Jun 2025
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

TG66SLA

MOT Valid

TESLA MODEL X

Electric · Black

First Used: Sep 2017
MOT Expiry: 24 Jul 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TG66S Makes

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

MINI Common Problems TESLA Common Problems

Frequently Asked Questions about TG66S Plates

Where was the TG66S number plate series registered?

Vehicles starting with TG66S were assigned to the DVLA regional office covering the UK. The first two letters (TG) identify the memory tag assigned by the DVLA.

What registration period is TG66S?

The TG66S age identifier corresponds to vehicles first registered between September 2016 to February 2017.

How can I check the MOT history of a TG66S 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.