Where was the JW64P number plate registered?

Vehicles with the JW64P prefix were first registered in the UK through official DVLA regional allocation tag JW.

What year was a JW64P registration plate released?

The JW64P series was issued during September 2014 to February 2015.

What is the MOT pass rate for JW64P vehicles?

Vehicles in the JW64P cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JW64P Series Number Plates

UK vehicles during September 2014 to February 2015 with registration prefix JW64P.

Area Office: DVLA Region (JW)
Release Period: September 2014 to February 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

KIA 50% (1)

LAND ROVER 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey2 vehicles

Active Plates in JW64P Series(2 of 2 displayed)

Filter by 6th Letter:

JW64PAD

MOT Valid

LAND ROVER DISCOVERY SPORT

2.2L · Diesel · Grey

First Used: Oct 2015
MOT Expiry: 27 May 2027
Tax Status: —
Color: Grey

Check History & Specs

JW64PJW

MOT Expired

KIA EV3 GT-LINE

Electric · Grey

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

Check History & Specs

Reliability & Common Problem Guides for JW64P Makes

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

KIA Common Problems LAND ROVER Common Problems

Frequently Asked Questions about JW64P Plates

Where was the JW64P number plate series registered?

Vehicles starting with JW64P were assigned to the DVLA regional office covering the UK. The first two letters (JW) identify the memory tag assigned by the DVLA.

What registration period is JW64P?

The JW64P age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a JW64P 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.