Where was the JU63Y number plate registered?

Vehicles with the JU63Y prefix were first registered in the UK through official DVLA regional allocation tag JU.

What year was a JU63Y registration plate released?

The JU63Y series was issued during September 2013 to February 2014.

What is the MOT pass rate for JU63Y vehicles?

Vehicles in the JU63Y cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JU63Y Series Number Plates

UK vehicles during September 2013 to February 2014 with registration prefix JU63Y.

Area Office: DVLA Region (JU)
Release Period: September 2013 to February 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

AUDI 50% (1)

BMW 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JU63Y Series(2 of 2 displayed)

Filter by 6th Letter:

JU63YAR

MOT Valid

BMW 218

1.5L · Petrol · Black

First Used: Sep 2015
MOT Expiry: 31 Oct 2026
Tax Status: —
Color: Black

Check History & Specs

JU63YYY

MOT Valid

AUDI A5

3.0L · Petrol · Blue

First Used: Sep 2014
MOT Expiry: 22 Jun 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JU63Y Makes

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

AUDI Common Problems BMW Common Problems

Frequently Asked Questions about JU63Y Plates

Where was the JU63Y number plate series registered?

Vehicles starting with JU63Y 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 JU63Y?

The JU63Y age identifier corresponds to vehicles first registered between September 2013 to February 2014.

How can I check the MOT history of a JU63Y 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.