Where was the JR17Y number plate registered?

Vehicles with the JR17Y prefix were first registered in the UK through official DVLA regional allocation tag JR.

What year was a JR17Y registration plate released?

The JR17Y series was issued during March 2017 to August 2017.

What is the MOT pass rate for JR17Y vehicles?

Vehicles in the JR17Y cohort demonstrate an average historical MOT pass rate of 75% based on 4 recorded DVSA inspections.

Batch Prefix Hub

JR17Y Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix JR17Y.

Area Office: DVLA Region (JR)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 75%

Popular Makes

FORD 50% (1)

HONDA 50% (1)

75%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in JR17Y Series(2 of 2 displayed)

Filter by 6th Letter:

JR17YDE

MOT Expired

FORD FIESTA

1.6L · Petrol · Black

First Used: May 2017
MOT Expiry: 28 Apr 2024
Tax Status: —
Color: Black

Check History & Specs

JR17YMR

MOT Expired

HONDA HR-V ADVANCE I-MMD CVT

Hybrid Electric (Clean) · Grey

First Used: Jul 2025
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JR17Y Makes

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

FORD Common Problems HONDA Common Problems

Frequently Asked Questions about JR17Y Plates

Where was the JR17Y number plate series registered?

Vehicles starting with JR17Y 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 JR17Y?

The JR17Y age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a JR17Y 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.