Where was the UX02C number plate registered?

Vehicles with the UX02C prefix were first registered in the UK through official DVLA regional allocation tag UX.

What year was a UX02C registration plate released?

The UX02C series was issued during March 2002 to August 2002.

What is the MOT pass rate for UX02C vehicles?

Vehicles in the UX02C cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UX02C Series Number Plates

UK vehicles during March 2002 to August 2002 with registration prefix UX02C.

Area Office: DVLA Region (UX)
Release Period: March 2002 to August 2002
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

Popular Makes

SMART 50% (1)

VAUXHALL 50% (1)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

BLACK1 vehicles

Active Plates in UX02C Series(2 of 2 displayed)

UX02CAM

MOT Valid

VAUXHALL ASTRA

1.6L · Petrol · Black

First Used: Sep 2009
MOT Expiry: 29 May 2026
Tax Status: —
Color: Black

Check History & Specs

UX02CAZ

TaxedMOT Valid

SMART FORTWO CABRIOLET

1.0L · PETROL · BLACK

First Used: Sep 2007
MOT Expiry: 22 Feb 2027
Tax Status: Taxed
Color: BLACK

Check History & Specs

Reliability & Common Problem Guides for UX02C Makes

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

SMART Common Problems VAUXHALL Common Problems

Frequently Asked Questions about UX02C Plates

Where was the UX02C number plate series registered?

Vehicles starting with UX02C were assigned to the DVLA regional office covering the UK. The first two letters (UX) identify the memory tag assigned by the DVLA.

What registration period is UX02C?

The UX02C age identifier corresponds to vehicles first registered between March 2002 to August 2002.

How can I check the MOT history of a UX02C 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.