Where was the JG63D number plate registered?

Vehicles with the JG63D prefix were first registered in the UK through official DVLA regional allocation tag JG.

What year was a JG63D registration plate released?

The JG63D series was issued during September 2013 to February 2014.

What is the MOT pass rate for JG63D vehicles?

Vehicles in the JG63D cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JG63D Series Number Plates

UK vehicles during September 2013 to February 2014 with registration prefix JG63D.

Area Office: DVLA Region (JG)
Release Period: September 2013 to February 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

SKODA 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

White2 vehicles

Active Plates in JG63D Series(2 of 2 displayed)

Filter by 6th Letter:

JG63DAD

MOT Valid

FORD ECOSPORT

1.5L · Diesel · White

First Used: Aug 2017
MOT Expiry: 12 Aug 2026
Tax Status: —
Color: White

Check History & Specs

JG63DOG

MOT Valid

SKODA YETI

1.2L · Petrol · White

First Used: Mar 2016
MOT Expiry: 21 Oct 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JG63D Makes

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

FORD Common Problems SKODA Common Problems

Frequently Asked Questions about JG63D Plates

Where was the JG63D number plate series registered?

Vehicles starting with JG63D were assigned to the DVLA regional office covering the UK. The first two letters (JG) identify the memory tag assigned by the DVLA.

What registration period is JG63D?

The JG63D age identifier corresponds to vehicles first registered between September 2013 to February 2014.

How can I check the MOT history of a JG63D 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.