Where was the JR17P number plate registered?

Vehicles with the JR17P prefix were first registered in the UK through official DVLA regional allocation tag JR.

What year was a JR17P registration plate released?

The JR17P series was issued during March 2017 to August 2017.

What is the MOT pass rate for JR17P vehicles?

Vehicles in the JR17P cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JR17P Series Number Plates

UK vehicles during March 2017 to August 2017 with registration prefix JR17P.

Area Office: DVLA Region (JR)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

BMW 50% (1)

MERCEDES-BENZ 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JR17P Series(2 of 2 displayed)

Filter by 6th Letter:

JR17PAR

MOT Valid

MERCEDES-BENZ GLA

2.1L · Diesel · Black

First Used: Aug 2017
MOT Expiry: 11 Aug 2027
Tax Status: —
Color: Black

Check History & Specs

JR17PJR

MOT Expired

BMW I4 EDRIVE40 M SPORT

Electric · White

First Used: Jun 2023
MOT Expiry: —
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JR17P Makes

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

BMW Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JR17P Plates

Where was the JR17P number plate series registered?

Vehicles starting with JR17P 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 JR17P?

The JR17P age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a JR17P 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.