Where was the JP64L number plate registered?

Vehicles with the JP64L prefix were first registered in the UK through official DVLA regional allocation tag JP.

What year was a JP64L registration plate released?

The JP64L series was issued during September 2014 to February 2015.

What is the MOT pass rate for JP64L vehicles?

Vehicles in the JP64L cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JP64L Series Number Plates

UK vehicles during September 2014 to February 2015 with registration prefix JP64L.

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

Popular Makes

FORD 50% (1)

SKODA 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Red1 vehicles

White1 vehicles

Active Plates in JP64L Series(2 of 2 displayed)

Filter by 6th Letter:

JP64LLY

MOT Valid

SKODA OCTAVIA

2.0L · Petrol · White

First Used: Jun 2019
MOT Expiry: 19 Jun 2027
Tax Status: —
Color: White

Check History & Specs

JP64LMP

MOT Valid

FORD KUGA

2.0L · Diesel · Red

First Used: Sep 2019
MOT Expiry: 11 Mar 2027
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for JP64L Makes

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

FORD Common Problems SKODA Common Problems

Frequently Asked Questions about JP64L Plates

Where was the JP64L number plate series registered?

Vehicles starting with JP64L were assigned to the DVLA regional office covering the UK. The first two letters (JP) identify the memory tag assigned by the DVLA.

What registration period is JP64L?

The JP64L age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a JP64L 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.