Where was the TR56N number plate registered?

Vehicles with the TR56N prefix were first registered in the UK through official DVLA regional allocation tag TR.

What year was a TR56N registration plate released?

The TR56N series was issued during September 2006 to February 2007.

What is the MOT pass rate for TR56N vehicles?

Vehicles in the TR56N cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TR56N Series Number Plates

UK vehicles during September 2006 to February 2007 with registration prefix TR56N.

Area Office: DVLA Region (TR)
Release Period: September 2006 to February 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

NISSAN 50% (1)

SKODA 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Beige1 vehicles

Black1 vehicles

Active Plates in TR56N Series(2 of 2 displayed)

TR56NAN

MOT Valid

SKODA KODIAQ

2.0L · Diesel · Black

First Used: Mar 2020
MOT Expiry: 22 Sep 2026
Tax Status: —
Color: Black

Check History & Specs

TR56NAS

MOT Valid

NISSAN QASHQAI

1.5L · Diesel · Beige

First Used: Sep 2014
MOT Expiry: 07 Oct 2026
Tax Status: —
Color: Beige

Check History & Specs

Reliability & Common Problem Guides for TR56N Makes

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

NISSAN Common Problems SKODA Common Problems

Frequently Asked Questions about TR56N Plates

Where was the TR56N number plate series registered?

Vehicles starting with TR56N were assigned to the DVLA regional office covering the UK. The first two letters (TR) identify the memory tag assigned by the DVLA.

What registration period is TR56N?

The TR56N age identifier corresponds to vehicles first registered between September 2006 to February 2007.

How can I check the MOT history of a TR56N 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.