Where was the JW04U number plate registered?

Vehicles with the JW04U prefix were first registered in the UK through official DVLA regional allocation tag JW.

What year was a JW04U registration plate released?

The JW04U series was issued during March 2004 to August 2004.

What is the MOT pass rate for JW04U vehicles?

Vehicles in the JW04U cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JW04U Series Number Plates

UK vehicles during March 2004 to August 2004 with registration prefix JW04U.

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

Popular Makes

HONDA 50% (1)

VOLKSWAGEN 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

BLUE1 vehicles

Red1 vehicles

Active Plates in JW04U Series(2 of 2 displayed)

Filter by 6th Letter:

JW04UNC

MOT Valid

HONDA CIVIC

1.5L · Petrol · Red

First Used: Jan 2019
MOT Expiry: 17 Sep 2027
Tax Status: —
Color: Red

Check History & Specs

JW04UPO

TaxedMOT Valid

VOLKSWAGEN LUPO

1.4L · PETROL · BLUE

First Used: Jun 2004
MOT Expiry: 19 Dec 2026
Tax Status: Taxed
Color: BLUE

Check History & Specs

Reliability & Common Problem Guides for JW04U Makes

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

HONDA Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JW04U Plates

Where was the JW04U number plate series registered?

Vehicles starting with JW04U were assigned to the DVLA regional office covering the UK. The first two letters (JW) identify the memory tag assigned by the DVLA.

What registration period is JW04U?

The JW04U age identifier corresponds to vehicles first registered between March 2004 to August 2004.

How can I check the MOT history of a JW04U 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.