Where was the TK17B number plate registered?

Vehicles with the TK17B prefix were first registered in the UK through official DVLA regional allocation tag TK.

What year was a TK17B registration plate released?

The TK17B series was issued during March 2017 to August 2017.

What is the MOT pass rate for TK17B vehicles?

Vehicles in the TK17B cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TK17B Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix TK17B.

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

Popular Makes

FIAT 50% (1)

SUBARU 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Green1 vehicles

Grey1 vehicles

Active Plates in TK17B Series(2 of 2 displayed)

Filter by 6th Letter:

TK17BEL

MOT Valid

FIAT 500

1.2L · Petrol · Green

First Used: Mar 2017
MOT Expiry: 28 Mar 2027
Tax Status: —
Color: Green

Check History & Specs

TK17BOO

MOT Expired

SUBARU OUTBACK LIMITED AWD CVT

Petrol · Grey

First Used: Sep 2024
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TK17B Makes

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

FIAT Common Problems SUBARU Common Problems

Frequently Asked Questions about TK17B Plates

Where was the TK17B number plate series registered?

Vehicles starting with TK17B were assigned to the DVLA regional office covering the UK. The first two letters (TK) identify the memory tag assigned by the DVLA.

What registration period is TK17B?

The TK17B age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a TK17B 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.