Where was the XJ17J number plate registered?

Vehicles with the XJ17J prefix were first registered in Personal Export through official DVLA regional allocation tag XJ.

What year was a XJ17J registration plate released?

The XJ17J series was issued during March 2017 to August 2017.

What is the MOT pass rate for XJ17J vehicles?

MOT pass rates for XJ17J series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

XJ17J Series Number Plates

UK vehicles registered in Personal Export during March 2017 to August 2017 with registration prefix XJ17J.

Area Office: Personal Export (Personal Export)
Release Period: March 2017 to August 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

AUDI 50% (1)

JAGUAR 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Grey2 vehicles

Active Plates in XJ17J Series(2 of 2 displayed)

XJ17JAC

MOT Expired

AUDI A1 S LINE BLACK ED 25 TFSI

Petrol · Grey

First Used: Sep 2023
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

XJ17JAY

MOT Valid

JAGUAR XJ

3.0L · Diesel · Grey

First Used: Mar 2017
MOT Expiry: 14 Apr 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for XJ17J Makes

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

AUDI Common Problems JAGUAR Common Problems

Frequently Asked Questions about XJ17J Plates

Where was the XJ17J number plate series registered?

Vehicles starting with XJ17J were assigned to the Personal Export covering Personal Export. The first two letters (XJ) identify the memory tag assigned by the DVLA.

What registration period is XJ17J?

The XJ17J age identifier corresponds to vehicles first registered between March 2017 to August 2017.

How can I check the MOT history of a XJ17J 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.