Where was the TR17K number plate registered?

Vehicles with the TR17K prefix were first registered in the UK through official DVLA regional allocation tag TR.

What year was a TR17K registration plate released?

The TR17K series was issued during March 2017 to August 2017.

What is the MOT pass rate for TR17K vehicles?

Vehicles in the TR17K cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

TR17K Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix TR17K.

Area Office: DVLA Region (TR)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

HONDA 50% (1)

MERCEDES-BENZ 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in TR17K Series(2 of 2 displayed)

TR17KER

MOT Expired

MERCEDES-BENZ EQB 300 AMG LINE EXECUTIVE 4M

Electric · Black

First Used: May 2024
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

TR17KEY

MOT Valid

HONDA CIVIC

1.5L · Petrol · Blue

First Used: Mar 2017
MOT Expiry: 11 Jun 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TR17K Makes

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

HONDA Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about TR17K Plates

Where was the TR17K number plate series registered?

Vehicles starting with TR17K 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 TR17K?

The TR17K age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a TR17K 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.