Where was the JJ63N number plate registered?

Vehicles with the JJ63N prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ63N registration plate released?

The JJ63N series was issued during September 2013 to February 2014.

What is the MOT pass rate for JJ63N vehicles?

Vehicles in the JJ63N cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JJ63N Series Number Plates

UK vehicles during September 2013 to February 2014 with registration prefix JJ63N.

Area Office: DVLA Region (JJ)
Release Period: September 2013 to February 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

JJ63N Cohort Statistics

Popular Makes

FORD 50% (1)

VAUXHALL 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in JJ63N Series(2 of 2 displayed)

JJ63NET

MOT Valid

FORD KA

1.2L · Petrol · Grey

First Used: Nov 2019
MOT Expiry: 28 Nov 2026
Tax Status: —
Color: Grey

Check History & Specs

JJ63NEW

MOT Expired

VAUXHALL VIVARO

2.0L · Diesel · White

First Used: Dec 2013
MOT Expiry: 20 Mar 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JJ63N Makes

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

FORD Common Problems VAUXHALL Common Problems

Frequently Asked Questions about JJ63N Plates

Where was the JJ63N number plate series registered?

Vehicles starting with JJ63N were assigned to the DVLA regional office covering the UK. The first two letters (JJ) identify the memory tag assigned by the DVLA.

What registration period is JJ63N?

The JJ63N age identifier corresponds to vehicles first registered between September 2013 to February 2014.

How can I check the MOT history of a JJ63N 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.