Where was the TG11W number plate registered?

Vehicles with the TG11W prefix were first registered in the UK through official DVLA regional allocation tag TG.

What year was a TG11W registration plate released?

The TG11W series was issued during March 2011 to August 2011.

What is the MOT pass rate for TG11W vehicles?

Vehicles in the TG11W cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TG11W Series Number Plates

UK vehicles during March 2011 to August 2011 with registration prefix TG11W.

Area Office: DVLA Region (TG)
Release Period: March 2011 to August 2011
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

JAGUAR 50% (1)

SUZUKI 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Red1 vehicles

Silver1 vehicles

Active Plates in TG11W Series(2 of 2 displayed)

Filter by 6th Letter:

TG11WAY

MOT Valid

SUZUKI SWIFT

1.6L · Petrol · Red

First Used: Jan 2013
MOT Expiry: 13 Aug 2027
Tax Status: —
Color: Red

Check History & Specs

TG11WEN

MOT Valid

JAGUAR F-PACE

2.0L · Diesel · Silver

First Used: Jan 2018
MOT Expiry: 16 Dec 2026
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for TG11W Makes

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

JAGUAR Common Problems SUZUKI Common Problems

Frequently Asked Questions about TG11W Plates

Where was the TG11W number plate series registered?

Vehicles starting with TG11W 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 TG11W?

The TG11W age identifier corresponds to vehicles first registered between March 2011 to August 2011.

How can I check the MOT history of a TG11W 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.