RR16L Series Number Plates
UK vehicles registered in Reading, Berkshire during March 2016 to August 2016 with registration prefix RR16L.
- Area Office
- Reading (Reading, Berkshire)
- Release Period
- March 2016 to August 2016
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 90%
Average MOT Pass Rate
Based on 30 historical tests
Common Colors
Active Plates in RR16L Series(7 of 7 displayed)
FORD ECOSPORT
1.0L · Petrol · Grey
- First Used
- Jun 2016
- MOT Expiry
- 31 May 2024
- Tax Status
- —
- Color
- Grey
PORSCHE CAYENNE
3.0L · Hybrid Electric (Clean) · Black
- First Used
- Sep 2016
- MOT Expiry
- 02 Oct 2026
- Tax Status
- —
- Color
- Black
LAND ROVER RANGE ROVER SPORT
5.0L · Petrol · Blue
- First Used
- May 2021
- MOT Expiry
- 27 Jan 2027
- Tax Status
- —
- Color
- Blue
LAND ROVER RANGE ROVER SPORT
5.0L · Petrol · White
- First Used
- Jun 2016
- MOT Expiry
- 08 Apr 2027
- Tax Status
- —
- Color
- White
TESLA MODEL S
Electric · Maroon
- First Used
- Aug 2016
- MOT Expiry
- 08 Sep 2026
- Tax Status
- —
- Color
- Maroon
HYUNDAI I30
2.0L · Petrol · Blue
- First Used
- Nov 2019
- MOT Expiry
- 28 Aug 2026
- Tax Status
- —
- Color
- Blue
ROLLS ROYCE PHANTOM
6.7L · Petrol · Silver
- First Used
- Apr 2016
- MOT Expiry
- 29 Sep 2026
- Tax Status
- —
- Color
- Silver
Reliability & Common Problem Guides for RR16L Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about RR16L Plates
Where was the RR16L number plate series registered?
Vehicles starting with RR16L 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 RR16L?
The RR16L age identifier corresponds to vehicles first registered between March 2016 to August 2016.
How can I check the MOT history of a RR16L 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.