Where was the JB63H number plate registered?

Vehicles with the JB63H prefix were first registered in the UK through official DVLA regional allocation tag JB.

What year was a JB63H registration plate released?

The JB63H series was issued during September 2013 to February 2014.

What is the MOT pass rate for JB63H vehicles?

Vehicles in the JB63H cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JB63H Series Number Plates

UK vehicles during September 2013 to February 2014 with registration prefix JB63H.

Area Office: DVLA Region (JB)
Release Period: September 2013 to February 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

AUDI 50% (1)

VOLKSWAGEN 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

Silver1 vehicles

Active Plates in JB63H Series(2 of 2 displayed)

JB63HAM

MOT Valid

VOLKSWAGEN TIGUAN

2.0L · Diesel · Silver

First Used: Dec 2016
MOT Expiry: 01 Dec 2026
Tax Status: —
Color: Silver

Check History & Specs

JB63HAZ

MOT Valid

AUDI A3

1.0L · Petrol · Grey

First Used: May 2018
MOT Expiry: 08 May 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JB63H Makes

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

AUDI Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JB63H Plates

Where was the JB63H number plate series registered?

Vehicles starting with JB63H were assigned to the DVLA regional office covering the UK. The first two letters (JB) identify the memory tag assigned by the DVLA.

What registration period is JB63H?

The JB63H age identifier corresponds to vehicles first registered between September 2013 to February 2014.

How can I check the MOT history of a JB63H 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.