Where was the JU65C number plate registered?

Vehicles with the JU65C prefix were first registered in the UK through official DVLA regional allocation tag JU.

What year was a JU65C registration plate released?

The JU65C series was issued during September 2015 to February 2016.

What is the MOT pass rate for JU65C vehicles?

MOT pass rates for JU65C series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JU65C Series Number Plates

UK vehicles during September 2015 to February 2016 with registration prefix JU65C.

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

Popular Makes

JAGUAR 50% (1)

VOLKSWAGEN 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Blue1 vehicles

Red1 vehicles

Active Plates in JU65C Series(2 of 2 displayed)

JU65COL

MOT Expired

VOLKSWAGEN TAIGO R-LINE TSI S-A

Petrol · Red

First Used: Jun 2023
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

JU65COU

MOT Valid

JAGUAR F-PACE

2.0L · Petrol · Blue

First Used: Feb 2018
MOT Expiry: 07 Feb 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JU65C Makes

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

JAGUAR Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JU65C Plates

Where was the JU65C number plate series registered?

Vehicles starting with JU65C were assigned to the DVLA regional office covering the UK. The first two letters (JU) identify the memory tag assigned by the DVLA.

What registration period is JU65C?

The JU65C age identifier corresponds to vehicles first registered between September 2015 to February 2016.

How can I check the MOT history of a JU65C 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.