Where was the JP68O number plate registered?

Vehicles with the JP68O prefix were first registered in the UK through official DVLA regional allocation tag JP.

What year was a JP68O registration plate released?

The JP68O series was issued during September 2018 to February 2019.

What is the MOT pass rate for JP68O vehicles?

Vehicles in the JP68O cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JP68O Series Number Plates

UK vehicles during September 2018 to February 2019 with registration prefix JP68O.

Area Office: DVLA Region (JP)
Release Period: September 2018 to February 2019
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

DACIA 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in JP68O Series(2 of 2 displayed)

Filter by 6th Letter:

JP68OAP

MOT Valid

DACIA DUSTER

1.5L · Diesel · Blue

First Used: Mar 2019
MOT Expiry: 05 Mar 2027
Tax Status: —
Color: Blue

Check History & Specs

JP68OJP

MOT Valid

AUDI A3

1.5L · Petrol · Grey

First Used: Oct 2018
MOT Expiry: 30 Oct 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JP68O Makes

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

AUDI Common Problems DACIA Common Problems

Frequently Asked Questions about JP68O Plates

Where was the JP68O number plate series registered?

Vehicles starting with JP68O 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 JP68O?

The JP68O age identifier corresponds to vehicles first registered between September 2018 to February 2019.

How can I check the MOT history of a JP68O 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.