Where was the RR15Y number plate registered?

Vehicles with the RR15Y prefix were first registered in Reading, Berkshire through official DVLA regional allocation tag RR.

What year was a RR15Y registration plate released?

The RR15Y series was issued during March 2015 to August 2015.

What is the MOT pass rate for RR15Y vehicles?

Vehicles in the RR15Y cohort demonstrate an average historical MOT pass rate of 100% based on 10 recorded DVSA inspections.

Batch Prefix Hub

RR15Y Series Number Plates

UK vehicles registered in Reading, Berkshire during March 2015 to August 2015 with registration prefix RR15Y.

Area Office: Reading (Reading, Berkshire)
Release Period: March 2015 to August 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 100% (2)

100%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

White2 vehicles

Active Plates in RR15Y Series(2 of 2 displayed)

Filter by 6th Letter:

RR15YAZ

MOT Valid

FORD GALAXY

2.0L · Diesel · White

First Used: Dec 2017
MOT Expiry: 10 Nov 2026
Tax Status: —
Color: White

Check History & Specs

RR15YRR

MOT Valid

FORD KUGA

2.0L · Diesel · White

First Used: May 2015
MOT Expiry: 05 Apr 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for RR15Y Makes

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

FORD Common Problems

Frequently Asked Questions about RR15Y Plates

Where was the RR15Y number plate series registered?

Vehicles starting with RR15Y were assigned to the Reading covering Reading, Berkshire. The first two letters (RR) identify the memory tag assigned by the DVLA.

What registration period is RR15Y?

The RR15Y age identifier corresponds to vehicles first registered between March 2015 to August 2015.

How can I check the MOT history of a RR15Y 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.