Where was the JR14Y number plate registered?

Vehicles with the JR14Y prefix were first registered in the UK through official DVLA regional allocation tag JR.

What year was a JR14Y registration plate released?

The JR14Y series was issued during March 2014 to August 2014.

What is the MOT pass rate for JR14Y vehicles?

Vehicles in the JR14Y cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JR14Y Series Number Plates

UK vehicles during March 2014 to August 2014 with registration prefix JR14Y.

Area Office: DVLA Region (JR)
Release Period: March 2014 to August 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

JAGUAR 50% (1)

PORSCHE 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in JR14Y Series(2 of 2 displayed)

Filter by 6th Letter:

JR14YAS

MOT Valid

JAGUAR XF

3.0L · Diesel · Black

First Used: May 2014
MOT Expiry: 14 Nov 2026
Tax Status: —
Color: Black

Check History & Specs

JR14YET

MOT Valid

PORSCHE CAYENNE

4.8L · Petrol · Grey

First Used: Apr 2016
MOT Expiry: 06 Jul 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JR14Y Makes

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

JAGUAR Common Problems PORSCHE Common Problems

Frequently Asked Questions about JR14Y Plates

Where was the JR14Y number plate series registered?

Vehicles starting with JR14Y were assigned to the DVLA regional office covering the UK. The first two letters (JR) identify the memory tag assigned by the DVLA.

What registration period is JR14Y?

The JR14Y age identifier corresponds to vehicles first registered between March 2014 to August 2014.

How can I check the MOT history of a JR14Y 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.