Where was the JN67B number plate registered?

Vehicles with the JN67B prefix were first registered in the UK through official DVLA regional allocation tag JN.

What year was a JN67B registration plate released?

The JN67B series was issued during September 2017 to February 2018.

What is the MOT pass rate for JN67B vehicles?

Vehicles in the JN67B cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JN67B Series Number Plates

UK vehicles during September 2017 to February 2018 with registration prefix JN67B.

Area Office: DVLA Region (JN)
Release Period: September 2017 to February 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

FIAT 50% (1)

RENAULT 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

White2 vehicles

Active Plates in JN67B Series(2 of 2 displayed)

Filter by 6th Letter:

JN67BOO

MOT Valid

RENAULT CAPTUR

1.2L · Petrol · White

First Used: Oct 2017
MOT Expiry: 30 Oct 2026
Tax Status: —
Color: White

Check History & Specs

JN67BUS

MOT Valid

FIAT DUCATO

2.3L · Diesel · White

First Used: Nov 2017
MOT Expiry: 20 Mar 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JN67B Makes

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

FIAT Common Problems RENAULT Common Problems

Frequently Asked Questions about JN67B Plates

Where was the JN67B number plate series registered?

Vehicles starting with JN67B were assigned to the DVLA regional office covering the UK. The first two letters (JN) identify the memory tag assigned by the DVLA.

What registration period is JN67B?

The JN67B age identifier corresponds to vehicles first registered between September 2017 to February 2018.

How can I check the MOT history of a JN67B 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.