Where was the JK23K number plate registered?

Vehicles with the JK23K prefix were first registered in the UK through official DVLA regional allocation tag JK.

What year was a JK23K registration plate released?

The JK23K series was issued during March 2023 to August 2023.

What is the MOT pass rate for JK23K vehicles?

Vehicles in the JK23K cohort demonstrate an average historical MOT pass rate of 100% based on 1 recorded DVSA inspections.

Batch Prefix Hub

JK23K Series Number Plates

UK vehicles during March 2023 to August 2023 with registration prefix JK23K.

Area Office: DVLA Region (JK)
Release Period: March 2023 to August 2023
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

VOLKSWAGEN 50% (1)

100%

Average MOT Pass Rate

Based on 1 historical tests

Common Colors

Grey2 vehicles

Active Plates in JK23K Series(2 of 2 displayed)

JK23KER

MOT Valid

AUDI Q3 TECHNIK 35 TFSI MHEV S-A

1.5L · Petrol · Grey

First Used: Apr 2023
MOT Expiry: 28 Oct 2026
Tax Status: —
Color: Grey

Check History & Specs

JK23KEY

MOT Expired

VOLKSWAGEN TRANSPORTER T28 STARTLINE TDI

Diesel · Grey

First Used: Apr 2024
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JK23K Makes

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

AUDI Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JK23K Plates

Where was the JK23K number plate series registered?

Vehicles starting with JK23K 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 JK23K?

The JK23K age identifier corresponds to vehicles first registered between March 2023 to August 2023.

How can I check the MOT history of a JK23K 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.