Where was the TK10O number plate registered?

Vehicles with the TK10O prefix were first registered in the UK through official DVLA regional allocation tag TK.

What year was a TK10O registration plate released?

The TK10O series was issued during March 2010 to August 2010.

What is the MOT pass rate for TK10O vehicles?

Vehicles in the TK10O cohort demonstrate an average historical MOT pass rate of 85.7% based on 7 recorded DVSA inspections.

Batch Prefix Hub

TK10O Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix TK10O.

Area Office: DVLA Region (TK)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 85.7%

Popular Makes

BMW 50% (1)

PORSCHE 50% (1)

85.7%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

Blue2 vehicles

Active Plates in TK10O Series(2 of 2 displayed)

Filter by 6th Letter:

TK10OLD

MOT Valid

BMW 218I M SPORT AUTO

1.5L · Petrol · Blue

First Used: Oct 2021
MOT Expiry: 19 Oct 2026
Tax Status: —
Color: Blue

Check History & Specs

TK10OWL

MOT Valid

PORSCHE 911 CARRERA 4 S-A

3.0L · Petrol · Blue

First Used: Dec 2019
MOT Expiry: 23 Dec 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TK10O Makes

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

BMW Common Problems PORSCHE Common Problems

Frequently Asked Questions about TK10O Plates

Where was the TK10O number plate series registered?

Vehicles starting with TK10O 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 TK10O?

The TK10O age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a TK10O 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.