Where was the TH64P number plate registered?

Vehicles with the TH64P prefix were first registered in the UK through official DVLA regional allocation tag TH.

What year was a TH64P registration plate released?

The TH64P series was issued during September 2014 to February 2015.

What is the MOT pass rate for TH64P vehicles?

Vehicles in the TH64P cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TH64P Series Number Plates

UK vehicles during September 2014 to February 2015 with registration prefix TH64P.

Area Office: DVLA Region (TH)
Release Period: September 2014 to February 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

MAZDA 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in TH64P Series(2 of 2 displayed)

Filter by 6th Letter:

TH64PAR

MOT Valid

BMW 740

3.0L · Diesel · Grey

First Used: Jun 2018
MOT Expiry: 18 Jun 2027
Tax Status: —
Color: Grey

Check History & Specs

TH64PJH

MOT Valid

MAZDA 2

1.5L · Petrol · White

First Used: Apr 2016
MOT Expiry: 02 Oct 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TH64P Makes

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

BMW Common Problems MAZDA Common Problems

Frequently Asked Questions about TH64P Plates

Where was the TH64P number plate series registered?

Vehicles starting with TH64P were assigned to the DVLA regional office covering the UK. The first two letters (TH) identify the memory tag assigned by the DVLA.

What registration period is TH64P?

The TH64P age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a TH64P 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.