Where was the JK19L number plate registered?

Vehicles with the JK19L prefix were first registered in the UK through official DVLA regional allocation tag JK.

What year was a JK19L registration plate released?

The JK19L series was issued during March 2019 to August 2019.

What is the MOT pass rate for JK19L vehicles?

Vehicles in the JK19L cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JK19L Series Number Plates

UK vehicles during March 2019 to August 2019 with registration prefix JK19L.

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

Popular Makes

CUPRA 50% (1)

MINI 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey2 vehicles

Active Plates in JK19L Series(2 of 2 displayed)

Filter by 6th Letter:

JK19LAR

MOT Expired

MINI COOPER SPORT AUTO

Petrol · Grey

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

Check History & Specs

JK19LEK

MOT Valid

CUPRA LEON FIRST EDITION PHEV S-A

1.4L · Hybrid Electric (Clean) · Grey

First Used: Apr 2021
MOT Expiry: 16 Jan 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JK19L Makes

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

CUPRA Common Problems MINI Common Problems

Frequently Asked Questions about JK19L Plates

Where was the JK19L number plate series registered?

Vehicles starting with JK19L 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 JK19L?

The JK19L age identifier corresponds to vehicles first registered between March 2019 to August 2019.

How can I check the MOT history of a JK19L 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.