Where was the JK69A number plate registered?

Vehicles with the JK69A prefix were first registered in the UK through official DVLA regional allocation tag JK.

What year was a JK69A registration plate released?

The JK69A series was issued during September 2019 to February 2020.

What is the MOT pass rate for JK69A vehicles?

Vehicles in the JK69A cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JK69A Series Number Plates

UK vehicles during September 2019 to February 2020 with registration prefix JK69A.

Area Office: DVLA Region (JK)
Release Period: September 2019 to February 2020
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

DACIA 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey2 vehicles

Active Plates in JK69A Series(2 of 2 displayed)

Filter by 6th Letter:

JK69AEK

MOT Valid

DACIA DUSTER

1.0L · Petrol · Grey

First Used: Nov 2019
MOT Expiry: 28 Nov 2026
Tax Status: —
Color: Grey

Check History & Specs

JK69AKE

MOT Expired

VOLKSWAGEN TAIGO LIFE TSI

Petrol · Grey

First Used: Jun 2023
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JK69A Makes

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

DACIA Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JK69A Plates

Where was the JK69A number plate series registered?

Vehicles starting with JK69A 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 JK69A?

The JK69A age identifier corresponds to vehicles first registered between September 2019 to February 2020.

How can I check the MOT history of a JK69A 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.