Where was the JD64K number plate registered?

Vehicles with the JD64K prefix were first registered in the UK through official DVLA regional allocation tag JD.

What year was a JD64K registration plate released?

The JD64K series was issued during September 2014 to February 2015.

What is the MOT pass rate for JD64K vehicles?

Vehicles in the JD64K cohort demonstrate an average historical MOT pass rate of 100% based on 8 recorded DVSA inspections.

Batch Prefix Hub

JD64K Series Number Plates

UK vehicles during September 2014 to February 2015 with registration prefix JD64K.

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

Popular Makes

MINI 50% (1)

NISSAN 50% (1)

100%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Black2 vehicles

Active Plates in JD64K Series(2 of 2 displayed)

Filter by 6th Letter:

JD64KAZ

MOT Valid

MINI COOPER

1.5L · Diesel · Black

First Used: Jun 2016
MOT Expiry: 21 Jun 2027
Tax Status: —
Color: Black

Check History & Specs

JD64KES

MOT Valid

NISSAN JUKE

1.2L · Petrol · Black

First Used: Jan 2017
MOT Expiry: 04 Jul 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JD64K Makes

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

MINI Common Problems NISSAN Common Problems

Frequently Asked Questions about JD64K Plates

Where was the JD64K number plate series registered?

Vehicles starting with JD64K were assigned to the DVLA regional office covering the UK. The first two letters (JD) identify the memory tag assigned by the DVLA.

What registration period is JD64K?

The JD64K age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a JD64K 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.