Where was the TG10L number plate registered?

Vehicles with the TG10L prefix were first registered in the UK through official DVLA regional allocation tag TG.

What year was a TG10L registration plate released?

The TG10L series was issued during March 2010 to August 2010.

What is the MOT pass rate for TG10L vehicles?

Vehicles in the TG10L cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TG10L Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix TG10L.

Area Office: DVLA Region (TG)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

Popular Makes

BMW 50% (1)

VOLKSWAGEN 50% (1)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in TG10L Series(2 of 2 displayed)

Filter by 6th Letter:

TG10LEY

MOT Valid

VOLKSWAGEN POLO

1.2L · Petrol · Blue

First Used: Jun 2015
MOT Expiry: 05 Nov 2026
Tax Status: —
Color: Blue

Check History & Specs

TG10LLY

MOT Valid

BMW 430

3.0L · Diesel · White

First Used: Dec 2015
MOT Expiry: 15 Oct 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TG10L Makes

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

BMW Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about TG10L Plates

Where was the TG10L number plate series registered?

Vehicles starting with TG10L 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 TG10L?

The TG10L age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a TG10L 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.