Where was the TG12N number plate registered?

Vehicles with the TG12N prefix were first registered in the UK through official DVLA regional allocation tag TG.

What year was a TG12N registration plate released?

The TG12N series was issued during March 2012 to August 2012.

What is the MOT pass rate for TG12N vehicles?

Vehicles in the TG12N cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TG12N Series Number Plates

UK vehicles during March 2012 to August 2012 with registration prefix TG12N.

Area Office: DVLA Region (TG)
Release Period: March 2012 to August 2012
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

VOLKSWAGEN 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in TG12N Series(2 of 2 displayed)

Filter by 6th Letter:

TG12NAT

MOT Valid

VOLKSWAGEN PASSAT

1.5L · Petrol · Grey

First Used: Jun 2020
MOT Expiry: 31 Mar 2027
Tax Status: —
Color: Grey

Check History & Specs

TG12NEW

MOT Valid

FORD FOCUS

1.0L · Petrol · White

First Used: Mar 2013
MOT Expiry: 06 Jan 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TG12N Makes

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

FORD Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about TG12N Plates

Where was the TG12N number plate series registered?

Vehicles starting with TG12N 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 TG12N?

The TG12N age identifier corresponds to vehicles first registered between March 2012 to August 2012.

How can I check the MOT history of a TG12N 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.