Where was the JD19P number plate registered?

Vehicles with the JD19P prefix were first registered in the UK through official DVLA regional allocation tag JD.

What year was a JD19P registration plate released?

The JD19P series was issued during March 2019 to August 2019.

What is the MOT pass rate for JD19P vehicles?

Vehicles in the JD19P cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JD19P Series Number Plates

UK vehicles during March 2019 to August 2019 with registration prefix JD19P.

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

Popular Makes

FIAT 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black2 vehicles

Active Plates in JD19P Series(2 of 2 displayed)

Filter by 6th Letter:

JD19PAL

MOT Valid

VOLKSWAGEN TIGUAN MATCH TDI

2.0L · Diesel · Black

First Used: Aug 2019
MOT Expiry: 22 Aug 2027
Tax Status: —
Color: Black

Check History & Specs

JD19PRD

MOT Expired

FIAT SWIFT KON-TIKI 794 S-A

Diesel · Black

First Used: Sep 2024
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JD19P Makes

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

FIAT Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JD19P Plates

Where was the JD19P number plate series registered?

Vehicles starting with JD19P were assigned to the DVLA regional office covering the UK. The first two letters (JD) identify the memory tag assigned by the DVLA.

What registration period is JD19P?

The JD19P age identifier corresponds to vehicles first registered between March 2019 to August 2019.

How can I check the MOT history of a JD19P 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.