RB14G Series Number Plates
UK vehicles registered in Reading, Berkshire during March 2014 to August 2014 with registration prefix RB14G.
- Area Office
- Reading (Reading, Berkshire)
- Release Period
- March 2014 to August 2014
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 85.2%
Average MOT Pass Rate
Based on 27 historical tests
Common Colors
Active Plates in RB14G Series(7 of 7 displayed)
LAND ROVER RANGE ROVER SPORT
3.0L · Diesel · Silver
- First Used
- Nov 2014
- MOT Expiry
- 02 Feb 2027
- Tax Status
- —
- Color
- Silver
MAXUS DELIVER 9
2.0L · Diesel · Blue
- First Used
- Dec 2021
- MOT Expiry
- 15 Apr 2026
- Tax Status
- —
- Color
- Blue
AUDI A5
2.0L · Diesel · Grey
- First Used
- Sep 2016
- MOT Expiry
- 24 Nov 2026
- Tax Status
- —
- Color
- Grey
VOLKSWAGEN GOLF LIFE ETSI S-A
1.0L · Hybrid Electric (Clean) · Grey
- First Used
- Dec 2020
- MOT Expiry
- 19 Jan 2027
- Tax Status
- —
- Color
- Grey
LAND ROVER RANGE ROVER VELAR
2.0L · Diesel · Black
- First Used
- Jul 2020
- MOT Expiry
- 06 Jul 2027
- Tax Status
- —
- Color
- Black
AUDI A5
1.8L · Petrol · White
- First Used
- Nov 2014
- MOT Expiry
- 18 Oct 2026
- Tax Status
- —
- Color
- White
AUDI Q3
2.0L · Petrol · Grey
- First Used
- Apr 2019
- MOT Expiry
- 09 Nov 2026
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for RB14G Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about RB14G Plates
Where was the RB14G number plate series registered?
Vehicles starting with RB14G 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 RB14G?
The RB14G age identifier corresponds to vehicles first registered between March 2014 to August 2014.
How can I check the MOT history of a RB14G 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.