Where was the JC63P number plate registered?

Vehicles with the JC63P prefix were first registered in the UK through official DVLA regional allocation tag JC.

What year was a JC63P registration plate released?

The JC63P series was issued during September 2013 to February 2014.

What is the MOT pass rate for JC63P vehicles?

Vehicles in the JC63P cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JC63P Series Number Plates

UK vehicles during September 2013 to February 2014 with registration prefix JC63P.

Area Office: DVLA Region (JC)
Release Period: September 2013 to February 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

MINI 50% (1)

VOLKSWAGEN 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Blue1 vehicles

Red1 vehicles

Active Plates in JC63P Series(2 of 2 displayed)

JC63PAC

MOT Valid

MINI PACEMAN

1.6L · Diesel · Blue

First Used: Feb 2014
MOT Expiry: 26 Jun 2027
Tax Status: —
Color: Blue

Check History & Specs

JC63PAR

MOT Valid

VOLKSWAGEN GOLF

2.0L · Petrol · Red

First Used: Sep 2019
MOT Expiry: 29 Sep 2026
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for JC63P Makes

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

MINI Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JC63P Plates

Where was the JC63P number plate series registered?

Vehicles starting with JC63P were assigned to the DVLA regional office covering the UK. The first two letters (JC) identify the memory tag assigned by the DVLA.

What registration period is JC63P?

The JC63P age identifier corresponds to vehicles first registered between September 2013 to February 2014.

How can I check the MOT history of a JC63P 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.