Where was the NO03F number plate registered?

Vehicles with the NO03F prefix were first registered in Newcastle, North East through official DVLA regional allocation tag NO.

What year was a NO03F registration plate released?

The NO03F series was issued during March 2003 to August 2003.

What is the MOT pass rate for NO03F vehicles?

Vehicles in the NO03F cohort demonstrate an average historical MOT pass rate of 60% based on 10 recorded DVSA inspections.

Batch Prefix Hub

NO03F Series Number Plates

UK vehicles registered in Newcastle, North East during March 2003 to August 2003 with registration prefix NO03F.

Area Office: Newcastle (Newcastle, North East)
Release Period: March 2003 to August 2003
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

AUDI 100% (2)

60%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black2 vehicles

Active Plates in NO03F Series(2 of 2 displayed)

Filter by 6th Letter:

NO03FAY

MOT Valid

AUDI TT

2.0L · Diesel · Black

First Used: Sep 2017
MOT Expiry: 12 May 2027
Tax Status: —
Color: Black

Check History & Specs

NO03FFC

MOT Expired

AUDI Q7

3.0L · Diesel · Black

First Used: Apr 2009
MOT Expiry: 07 May 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for NO03F Makes

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

AUDI Common Problems

Frequently Asked Questions about NO03F Plates

Where was the NO03F number plate series registered?

Vehicles starting with NO03F were assigned to the Newcastle covering Newcastle, North East. The first two letters (NO) identify the memory tag assigned by the DVLA.

What registration period is NO03F?

The NO03F age identifier corresponds to vehicles first registered between March 2003 to August 2003.

How can I check the MOT history of a NO03F 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.