Where was the RF63S number plate registered?

Vehicles with the RF63S prefix were first registered in Reading, Berkshire through official DVLA regional allocation tag RF.

What year was a RF63S registration plate released?

The RF63S series was issued during September 2013 to February 2014.

What is the MOT pass rate for RF63S vehicles?

Vehicles in the RF63S cohort demonstrate an average historical MOT pass rate of 100% based on 6 recorded DVSA inspections.

Batch Prefix Hub

RF63S Series Number Plates

UK vehicles registered in Reading, Berkshire during September 2013 to February 2014 with registration prefix RF63S.

Area Office: Reading (Reading, Berkshire)
Release Period: September 2013 to February 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 100% (2)

100%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Blue2 vehicles

Active Plates in RF63S Series(2 of 2 displayed)

Filter by 6th Letter:

RF63SJF

MOT Expired

AUDI Q3

2.5L · Petrol · Blue

First Used: Sep 2014
MOT Expiry: 10 Mar 2026
Tax Status: —
Color: Blue

Check History & Specs

RF63STU

MOT Valid

AUDI Q2

1.0L · Petrol · Blue

First Used: Apr 2022
MOT Expiry: 13 Apr 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for RF63S 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 RF63S Plates

Where was the RF63S number plate series registered?

Vehicles starting with RF63S were assigned to the Reading covering Reading, Berkshire. The first two letters (RF) identify the memory tag assigned by the DVLA.

What registration period is RF63S?

The RF63S age identifier corresponds to vehicles first registered between September 2013 to February 2014.

How can I check the MOT history of a RF63S 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.