Where was the UF02F number plate registered?

Vehicles with the UF02F prefix were first registered in the UK through official DVLA regional allocation tag UF.

What year was a UF02F registration plate released?

The UF02F series was issued during March 2002 to August 2002.

What is the MOT pass rate for UF02F vehicles?

Vehicles in the UF02F cohort demonstrate an average historical MOT pass rate of 100% based on 6 recorded DVSA inspections.

Batch Prefix Hub

UF02F Series Number Plates

UK vehicles during March 2002 to August 2002 with registration prefix UF02F.

Area Office: DVLA Region (UF)
Release Period: March 2002 to August 2002
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

HONDA 50% (1)

YAMAHA 50% (1)

100%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Purple1 vehicles

Red1 vehicles

Active Plates in UF02F Series(2 of 2 displayed)

Filter by 6th Letter:

UF02FAB

MOT Valid

HONDA CR-V

2.0L · Hybrid Electric (Clean) · Red

First Used: Apr 2022
MOT Expiry: 26 Apr 2026
Tax Status: —
Color: Red

Check History & Specs

UF02FOX

MOT Valid

YAMAHA MT

0.7L · Petrol · Purple

First Used: Mar 2014
MOT Expiry: 23 Sep 2026
Tax Status: —
Color: Purple

Check History & Specs

Reliability & Common Problem Guides for UF02F Makes

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

HONDA Common Problems YAMAHA Common Problems

Frequently Asked Questions about UF02F Plates

Where was the UF02F number plate series registered?

Vehicles starting with UF02F were assigned to the DVLA regional office covering the UK. The first two letters (UF) identify the memory tag assigned by the DVLA.

What registration period is UF02F?

The UF02F age identifier corresponds to vehicles first registered between March 2002 to August 2002.

How can I check the MOT history of a UF02F 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.