Where was the RL16B number plate registered?

Vehicles with the RL16B prefix were first registered in Reading, Berkshire through official DVLA regional allocation tag RL.

What year was a RL16B registration plate released?

The RL16B series was issued during March 2016 to August 2016.

What is the MOT pass rate for RL16B vehicles?

Vehicles in the RL16B cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

RL16B Series Number Plates

UK vehicles registered in Reading, Berkshire during March 2016 to August 2016 with registration prefix RL16B.

Area Office: Reading (Reading, Berkshire)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

AUDI 100% (2)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in RL16B Series(2 of 2 displayed)

Filter by 6th Letter:

RL16BAD

MOT Valid

AUDI A1

1.4L · Petrol · Black

First Used: May 2016
MOT Expiry: 04 Feb 2027
Tax Status: —
Color: Black

Check History & Specs

RL16BEC

MOT Valid

AUDI Q3

2.0L · Diesel · White

First Used: Sep 2017
MOT Expiry: 23 Sep 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for RL16B 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 RL16B Plates

Where was the RL16B number plate series registered?

Vehicles starting with RL16B were assigned to the Reading covering Reading, Berkshire. The first two letters (RL) identify the memory tag assigned by the DVLA.

What registration period is RL16B?

The RL16B age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a RL16B 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.