Where was the TY63O number plate registered?

Vehicles with the TY63O prefix were first registered in the UK through official DVLA regional allocation tag TY.

What year was a TY63O registration plate released?

The TY63O series was issued during September 2013 to February 2014.

What is the MOT pass rate for TY63O vehicles?

Vehicles in the TY63O cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TY63O Series Number Plates

UK vehicles during September 2013 to February 2014 with registration prefix TY63O.

Area Office: DVLA Region (TY)
Release Period: September 2013 to February 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

MERCEDES-BENZ 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Blue1 vehicles

Silver1 vehicles

Active Plates in TY63O Series(2 of 2 displayed)

TY63ONE

MOT Valid

BMW 420

2.0L · Petrol · Blue

First Used: May 2014
MOT Expiry: 20 May 2027
Tax Status: —
Color: Blue

Check History & Specs

TY63ONY

MOT Valid

MERCEDES-BENZ C

2.1L · Diesel · Silver

First Used: Feb 2014
MOT Expiry: 11 Nov 2026
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for TY63O Makes

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

BMW Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about TY63O Plates

Where was the TY63O number plate series registered?

Vehicles starting with TY63O were assigned to the DVLA regional office covering the UK. The first two letters (TY) identify the memory tag assigned by the DVLA.

What registration period is TY63O?

The TY63O age identifier corresponds to vehicles first registered between September 2013 to February 2014.

How can I check the MOT history of a TY63O 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.