Where was the TN61Y number plate registered?

Vehicles with the TN61Y prefix were first registered in the UK through official DVLA regional allocation tag TN.

What year was a TN61Y registration plate released?

The TN61Y series was issued during September 2011 to February 2012.

What is the MOT pass rate for TN61Y vehicles?

Vehicles in the TN61Y cohort demonstrate an average historical MOT pass rate of 60% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TN61Y Series Number Plates

UK vehicles during September 2011 to February 2012 with registration prefix TN61Y.

Area Office: DVLA Region (TN)
Release Period: September 2011 to February 2012
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

AUDI 50% (1)

BMW 50% (1)

60%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in TN61Y Series(2 of 2 displayed)

Filter by 6th Letter:

TN61YAN

MOT Valid

BMW X6

3.0L · Diesel · White

First Used: Mar 2018
MOT Expiry: 31 Jul 2027
Tax Status: —
Color: White

Check History & Specs

TN61YEN

MOT Valid

AUDI A3

1.4L · Petrol · Black

First Used: Jun 2014
MOT Expiry: 29 Jul 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TN61Y Makes

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

AUDI Common Problems BMW Common Problems

Frequently Asked Questions about TN61Y Plates

Where was the TN61Y number plate series registered?

Vehicles starting with TN61Y were assigned to the DVLA regional office covering the UK. The first two letters (TN) identify the memory tag assigned by the DVLA.

What registration period is TN61Y?

The TN61Y age identifier corresponds to vehicles first registered between September 2011 to February 2012.

How can I check the MOT history of a TN61Y 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.