RB16D Series Number Plates
UK vehicles registered in Reading, Berkshire during March 2016 to August 2016 with registration prefix RB16D.
- Area Office
- Reading (Reading, Berkshire)
- Release Period
- March 2016 to August 2016
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 95.5%
Average MOT Pass Rate
Based on 22 historical tests
Common Colors
Active Plates in RB16D Series(7 of 7 displayed)
ISUZU D-MAX
1.9L · DIESEL · WHITE
- First Used
- Mar 2018
- MOT Expiry
- 06 Jan 2027
- Tax Status
- Taxed
- Color
- WHITE
AUDI Q7 S LN VOR 50 TDI MHEV QUAT A
3.0L · Diesel · Grey
- First Used
- Jan 2022
- MOT Expiry
- 04 May 2027
- Tax Status
- —
- Color
- Grey
MAZDA MX-5
2.0L · Petrol · Grey
- First Used
- Sep 2017
- MOT Expiry
- 25 Mar 2027
- Tax Status
- —
- Color
- Grey
MERCEDES-BENZ A
1.9L · Diesel · Grey
- First Used
- Nov 2019
- MOT Expiry
- 15 Jul 2027
- Tax Status
- —
- Color
- Grey
BMW M135I XDRIVE AUTO
2.0L · Petrol · White
- First Used
- Dec 2019
- MOT Expiry
- 02 Dec 2026
- Tax Status
- —
- Color
- White
DUCATI MULTISTRADA 950 S
0.9L · Petrol · White
- First Used
- Jun 2021
- MOT Expiry
- 12 Nov 2026
- Tax Status
- —
- Color
- White
FORD TRANSIT CUSTOM
2.0L · Diesel · White
- First Used
- May 2018
- MOT Expiry
- 18 Sep 2026
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for RB16D Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about RB16D Plates
Where was the RB16D number plate series registered?
Vehicles starting with RB16D were assigned to the Reading covering Reading, Berkshire. The first two letters (RB) identify the memory tag assigned by the DVLA.
What registration period is RB16D?
The RB16D age identifier corresponds to vehicles first registered between March 2016 to August 2016.
How can I check the MOT history of a RB16D 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.