Where was the JK03O number plate registered?

Vehicles with the JK03O prefix were first registered in the UK through official DVLA regional allocation tag JK.

What year was a JK03O registration plate released?

The JK03O series was issued during March 2003 to August 2003.

What is the MOT pass rate for JK03O vehicles?

Vehicles in the JK03O cohort demonstrate an average historical MOT pass rate of 100% based on 3 recorded DVSA inspections.

Batch Prefix Hub

JK03O Series Number Plates

UK vehicles during March 2003 to August 2003 with registration prefix JK03O.

Area Office: DVLA Region (JK)
Release Period: March 2003 to August 2003
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

VOLKSWAGEN 50% (1)

100%

Average MOT Pass Rate

Based on 3 historical tests

Common Colors

Red1 vehicles

White1 vehicles

Active Plates in JK03O Series(2 of 2 displayed)

Filter by 6th Letter:

JK03ORD

MOT Expired

BMW 116

2.0L · Diesel · Red

First Used: Oct 2009
MOT Expiry: 30 Dec 2024
Tax Status: —
Color: Red

Check History & Specs

JK03OWN

MOT Expired

VOLKSWAGEN TIGUAN ALLSPACE LIFE TSI S-A

Petrol · White

First Used: Feb 2024
MOT Expiry: —
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JK03O Makes

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

BMW Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JK03O Plates

Where was the JK03O number plate series registered?

Vehicles starting with JK03O were assigned to the DVLA regional office covering the UK. The first two letters (JK) identify the memory tag assigned by the DVLA.

What registration period is JK03O?

The JK03O age identifier corresponds to vehicles first registered between March 2003 to August 2003.

How can I check the MOT history of a JK03O 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.