Where was the JK19T number plate registered?

Vehicles with the JK19T prefix were first registered in the UK through official DVLA regional allocation tag JK.

What year was a JK19T registration plate released?

The JK19T series was issued during March 2019 to August 2019.

What is the MOT pass rate for JK19T vehicles?

Vehicles in the JK19T cohort demonstrate an average historical MOT pass rate of 83.3% based on 6 recorded DVSA inspections.

Batch Prefix Hub

JK19T Series Number Plates

UK vehicles during March 2019 to August 2019 with registration prefix JK19T.

Area Office: DVLA Region (JK)
Release Period: March 2019 to August 2019
Tracked in Batch: 2 vehicles
MOT Pass Rate: 83.3%

Popular Makes

FORD 50% (1)

MAZDA 50% (1)

83.3%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Blue2 vehicles

Active Plates in JK19T Series(2 of 2 displayed)

Filter by 6th Letter:

JK19TAX

MOT Valid

MAZDA MX-5 SPORT VENTURE

1.5L · Petrol · Blue

First Used: Jul 2021
MOT Expiry: 22 Jul 2027
Tax Status: —
Color: Blue

Check History & Specs

JK19TWK

MOT Valid

FORD PUMA ST-LINE MHEV

1.0L · Petrol · Blue

First Used: Dec 2020
MOT Expiry: 17 Dec 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JK19T Makes

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

FORD Common Problems MAZDA Common Problems

Frequently Asked Questions about JK19T Plates

Where was the JK19T number plate series registered?

Vehicles starting with JK19T 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 JK19T?

The JK19T age identifier corresponds to vehicles first registered between March 2019 to August 2019.

How can I check the MOT history of a JK19T 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.