Where was the RN13G number plate registered?

Vehicles with the RN13G prefix were first registered in Reading, Berkshire through official DVLA regional allocation tag RN.

What year was a RN13G registration plate released?

The RN13G series was issued during March 2013 to August 2013.

What is the MOT pass rate for RN13G vehicles?

Vehicles in the RN13G cohort demonstrate an average historical MOT pass rate of 60% based on 5 recorded DVSA inspections.

Batch Prefix Hub

RN13G Series Number Plates

UK vehicles registered in Reading, Berkshire during March 2013 to August 2013 with registration prefix RN13G.

Area Office: Reading (Reading, Berkshire)
Release Period: March 2013 to August 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

FORD 100% (2)

60%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in RN13G Series(2 of 2 displayed)

Filter by 6th Letter:

RN13GAS

MOT Valid

FORD TRANSIT

2.2L · Diesel · Black

First Used: Apr 2016
MOT Expiry: 19 Aug 2026
Tax Status: —
Color: Black

Check History & Specs

RN13GER

MOT Valid

FORD RANGER

2.0L · Diesel · Blue

First Used: Apr 2021
MOT Expiry: 28 Nov 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for RN13G 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 RN13G Plates

Where was the RN13G number plate series registered?

Vehicles starting with RN13G were assigned to the Reading covering Reading, Berkshire. The first two letters (RN) identify the memory tag assigned by the DVLA.

What registration period is RN13G?

The RN13G age identifier corresponds to vehicles first registered between March 2013 to August 2013.

How can I check the MOT history of a RN13G 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.