Where was the XG04D number plate registered?

Vehicles with the XG04D prefix were first registered in Personal Export through official DVLA regional allocation tag XG.

What year was a XG04D registration plate released?

The XG04D series was issued during March 2004 to August 2004.

What is the MOT pass rate for XG04D vehicles?

Vehicles in the XG04D cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

XG04D Series Number Plates

UK vehicles registered in Personal Export during March 2004 to August 2004 with registration prefix XG04D.

Area Office: Personal Export (Personal Export)
Release Period: March 2004 to August 2004
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

BMW 100% (2)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Silver1 vehicles

WHITE1 vehicles

Active Plates in XG04D Series(2 of 2 displayed)

XG04DEB

TaxedMOT Valid

BMW 120

2.0L · Diesel · Silver

First Used: Dec 2009
MOT Expiry: 05 Oct 2026
Tax Status: Taxed
Color: Silver

Check History & Specs

XG04DEL

TaxedMOT Valid

BMW X3

2.0L · DIESEL · WHITE

First Used: Mar 2018
MOT Expiry: 17 Jun 2027
Tax Status: Taxed
Color: WHITE

Check History & Specs

Reliability & Common Problem Guides for XG04D Makes

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

BMW Common Problems

Frequently Asked Questions about XG04D Plates

Where was the XG04D number plate series registered?

Vehicles starting with XG04D were assigned to the Personal Export covering Personal Export. The first two letters (XG) identify the memory tag assigned by the DVLA.

What registration period is XG04D?

The XG04D age identifier corresponds to vehicles first registered between March 2004 to August 2004.

How can I check the MOT history of a XG04D 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.