Where was the JB65P number plate registered?

Vehicles with the JB65P prefix were first registered in the UK through official DVLA regional allocation tag JB.

What year was a JB65P registration plate released?

The JB65P series was issued during September 2015 to February 2016.

What is the MOT pass rate for JB65P vehicles?

Vehicles in the JB65P cohort demonstrate an average historical MOT pass rate of 100% based on 1 recorded DVSA inspections.

Batch Prefix Hub

JB65P Series Number Plates

UK vehicles during September 2015 to February 2016 with registration prefix JB65P.

Area Office: DVLA Region (JB)
Release Period: September 2015 to February 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

MG 50% (1)

100%

Average MOT Pass Rate

Based on 1 historical tests

Common Colors

Red1 vehicles

White1 vehicles

Active Plates in JB65P Series(2 of 2 displayed)

Filter by 6th Letter:

JB65PAB

MOT Valid

FORD BENIMAR TESSORO 482

2.0L · Diesel · White

First Used: Mar 2023
MOT Expiry: 15 Mar 2027
Tax Status: —
Color: White

Check History & Specs

JB65PRB

MOT Expired

MG HS TROPHY AUTO

Petrol · Red

First Used: Sep 2024
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for JB65P Makes

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

FORD Common Problems MG Common Problems

Frequently Asked Questions about JB65P Plates

Where was the JB65P number plate series registered?

Vehicles starting with JB65P 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 JB65P?

The JB65P age identifier corresponds to vehicles first registered between September 2015 to February 2016.

How can I check the MOT history of a JB65P 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.