GG51O Series Number Plates
UK vehicles registered in Maidstone, Kent during September 2001 to February 2002 with registration prefix GG51O.
- Area Office
- Maidstone (Maidstone, Kent)
- Release Period
- September 2001 to February 2002
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81.8%
Average MOT Pass Rate
Based on 33 historical tests
Common Colors
Active Plates in GG51O Series(7 of 7 displayed)
BMW 420
2.0L · Petrol · Blue
- First Used
- Jun 2015
- MOT Expiry
- 02 Apr 2027
- Tax Status
- —
- Color
- Blue
VOLKSWAGEN TIGUAN R-LINE TECH TDI 4MOTION
2.0L · Diesel · Grey
- First Used
- Jul 2019
- MOT Expiry
- 28 Jul 2027
- Tax Status
- —
- Color
- Grey
NISSAN X-TRAIL
2.2L · DIESEL · GREY
- First Used
- Mar 2006
- MOT Expiry
- 17 Jun 2027
- Tax Status
- Taxed
- Color
- GREY
MERCEDES-BENZ GLE
1.9L · Diesel · Silver
- First Used
- Mar 2021
- MOT Expiry
- 28 Mar 2027
- Tax Status
- —
- Color
- Silver
HYUNDAI I30
1.6L · Diesel · White
- First Used
- Jul 2013
- MOT Expiry
- 09 May 2026
- Tax Status
- —
- Color
- White
RENAULT MASTER
2.5L · Diesel · White
- First Used
- Dec 2010
- MOT Expiry
- 17 May 2027
- Tax Status
- —
- Color
- White
MERCEDES-BENZ X
2.3L · Diesel · Black
- First Used
- Sep 2018
- MOT Expiry
- 03 Sep 2026
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for GG51O Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about GG51O Plates
Where was the GG51O number plate series registered?
Vehicles starting with GG51O were assigned to the Maidstone covering Maidstone, Kent. The first two letters (GG) identify the memory tag assigned by the DVLA.
What registration period is GG51O?
The GG51O age identifier corresponds to vehicles first registered between September 2001 to February 2002.
How can I check the MOT history of a GG51O 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.