Where was the JB56W number plate registered?

Vehicles with the JB56W prefix were first registered in the UK through official DVLA regional allocation tag JB.

What year was a JB56W registration plate released?

The JB56W series was issued during September 2006 to February 2007.

What is the MOT pass rate for JB56W vehicles?

Vehicles in the JB56W cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JB56W Series Number Plates

UK vehicles during September 2006 to February 2007 with registration prefix JB56W.

Area Office: DVLA Region (JB)
Release Period: September 2006 to February 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

BMW 50% (1)

MERCEDES-BENZ 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in JB56W Series(2 of 2 displayed)

JB56WAG

MOT Valid

MERCEDES-BENZ C

2.0L · Petrol · Blue

First Used: Dec 2016
MOT Expiry: 27 Apr 2026
Tax Status: —
Color: Blue

Check History & Specs

JB56WAL

MOT Valid

BMW 3 SERIES

2.0L · Diesel · White

First Used: Mar 2013
MOT Expiry: 18 May 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JB56W Makes

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

BMW Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JB56W Plates

Where was the JB56W number plate series registered?

Vehicles starting with JB56W 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 JB56W?

The JB56W age identifier corresponds to vehicles first registered between September 2006 to February 2007.

How can I check the MOT history of a JB56W 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.