Where was the JO19L number plate registered?

Vehicles with the JO19L prefix were first registered in the UK through official DVLA regional allocation tag JO.

What year was a JO19L registration plate released?

The JO19L series was issued during March 2019 to August 2019.

What is the MOT pass rate for JO19L vehicles?

Vehicles in the JO19L cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JO19L Series Number Plates

UK vehicles during March 2019 to August 2019 with registration prefix JO19L.

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

Popular Makes

JAGUAR 50% (1)

NISSAN 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey1 vehicles

Silver1 vehicles

Active Plates in JO19L Series(2 of 2 displayed)

Filter by 6th Letter:

JO19LAF

MOT Valid

JAGUAR XF

2.0L · Diesel · Silver

First Used: Mar 2019
MOT Expiry: 29 Jan 2027
Tax Status: —
Color: Silver

Check History & Specs

JO19LEE

MOT Valid

NISSAN NAVARA

2.3L · Diesel · Grey

First Used: Mar 2019
MOT Expiry: 22 Mar 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JO19L Makes

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

JAGUAR Common Problems NISSAN Common Problems

Frequently Asked Questions about JO19L Plates

Where was the JO19L number plate series registered?

Vehicles starting with JO19L were assigned to the DVLA regional office covering the UK. The first two letters (JO) identify the memory tag assigned by the DVLA.

What registration period is JO19L?

The JO19L age identifier corresponds to vehicles first registered between March 2019 to August 2019.

How can I check the MOT history of a JO19L 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.