Where was the TN59L number plate registered?

Vehicles with the TN59L prefix were first registered in the UK through official DVLA regional allocation tag TN.

What year was a TN59L registration plate released?

The TN59L series was issued during September 2009 to February 2010.

What is the MOT pass rate for TN59L vehicles?

Vehicles in the TN59L cohort demonstrate an average historical MOT pass rate of 60% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TN59L Series Number Plates

UK vehicles during September 2009 to February 2010 with registration prefix TN59L.

Area Office: DVLA Region (TN)
Release Period: September 2009 to February 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

RENAULT 50% (1)

VOLVO 50% (1)

60%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue2 vehicles

Active Plates in TN59L Series(2 of 2 displayed)

Filter by 6th Letter:

TN59LDN

MOT Valid

RENAULT CLIO

1.5L · Diesel · Blue

First Used: Nov 2009
MOT Expiry: 03 Jun 2027
Tax Status: —
Color: Blue

Check History & Specs

TN59LOR

MOT Valid

VOLVO C30

2.0L · Petrol · Blue

First Used: Jul 2012
MOT Expiry: 01 Sep 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TN59L Makes

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

RENAULT Common Problems VOLVO Common Problems

Frequently Asked Questions about TN59L Plates

Where was the TN59L number plate series registered?

Vehicles starting with TN59L 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 TN59L?

The TN59L age identifier corresponds to vehicles first registered between September 2009 to February 2010.

How can I check the MOT history of a TN59L 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.