Where was the JD65K number plate registered?

Vehicles with the JD65K prefix were first registered in the UK through official DVLA regional allocation tag JD.

What year was a JD65K registration plate released?

The JD65K series was issued during September 2015 to February 2016.

What is the MOT pass rate for JD65K vehicles?

Vehicles in the JD65K cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JD65K Series Number Plates

UK vehicles during September 2015 to February 2016 with registration prefix JD65K.

Area Office: DVLA Region (JD)
Release Period: September 2015 to February 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

CITROEN 50% (1)

VOLKSWAGEN 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Silver2 vehicles

Active Plates in JD65K Series(2 of 2 displayed)

JD65KAT

MOT Valid

VOLKSWAGEN POLO

1.4L · Petrol · Silver

First Used: Sep 2015
MOT Expiry: 02 Jun 2027
Tax Status: —
Color: Silver

Check History & Specs

JD65KAZ

MOT Valid

CITROEN C3

1.2L · Petrol · Silver

First Used: Sep 2017
MOT Expiry: 21 Sep 2026
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for JD65K Makes

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

CITROEN Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JD65K Plates

Where was the JD65K number plate series registered?

Vehicles starting with JD65K 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 JD65K?

The JD65K age identifier corresponds to vehicles first registered between September 2015 to February 2016.

How can I check the MOT history of a JD65K 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.