Where was the JP67A number plate registered?

Vehicles with the JP67A prefix were first registered in the UK through official DVLA regional allocation tag JP.

What year was a JP67A registration plate released?

The JP67A series was issued during September 2017 to February 2018.

What is the MOT pass rate for JP67A vehicles?

Vehicles in the JP67A cohort demonstrate an average historical MOT pass rate of 100% based on 1 recorded DVSA inspections.

Batch Prefix Hub

JP67A Series Number Plates

UK vehicles during September 2017 to February 2018 with registration prefix JP67A.

Area Office: DVLA Region (JP)
Release Period: September 2017 to February 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FIAT 50% (1)

MINI 50% (1)

100%

Average MOT Pass Rate

Based on 1 historical tests

Common Colors

White2 vehicles

Active Plates in JP67A Series(2 of 2 displayed)

Filter by 6th Letter:

JP67AGP

MOT Expired

MINI COOPER CLASSIC C AUTO

Petrol · White

First Used: Oct 2025
MOT Expiry: —
Tax Status: —
Color: White

Check History & Specs

JP67APR

MOT Valid

FIAT 500E ICON

Electric · White

First Used: Oct 2022
MOT Expiry: 27 Oct 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JP67A Makes

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

FIAT Common Problems MINI Common Problems

Frequently Asked Questions about JP67A Plates

Where was the JP67A number plate series registered?

Vehicles starting with JP67A were assigned to the DVLA regional office covering the UK. The first two letters (JP) identify the memory tag assigned by the DVLA.

What registration period is JP67A?

The JP67A age identifier corresponds to vehicles first registered between September 2017 to February 2018.

How can I check the MOT history of a JP67A 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.