GG61A Series Number Plates
UK vehicles registered in Maidstone, Kent during September 2011 to February 2012 with registration prefix GG61A.
- Area Office
- Maidstone (Maidstone, Kent)
- Release Period
- September 2011 to February 2012
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81.5%
Average MOT Pass Rate
Based on 27 historical tests
Common Colors
Active Plates in GG61A Series(7 of 7 displayed)
PORSCHE CAYENNE
3.0L · HYBRID ELECTRIC · BLACK
- First Used
- Aug 2017
- MOT Expiry
- 06 May 2027
- Tax Status
- Taxed
- Color
- BLACK
FIAT 500
1.2L · PETROL · GREEN
- First Used
- Sep 2014
- MOT Expiry
- 13 Oct 2026
- Tax Status
- Taxed
- Color
- GREEN
FORD PUMA ST-LINE MHEV
1.0L · PETROL · GREY
- First Used
- Apr 2022
- MOT Expiry
- 04 Mar 2027
- Tax Status
- Taxed
- Color
- GREY
KIA RIO
1.2L · PETROL · BLUE
- First Used
- Aug 2013
- MOT Expiry
- 02 Mar 2027
- Tax Status
- Taxed
- Color
- BLUE
SKODA OCTAVIA
2.0L · Petrol · Black
- First Used
- Sep 2014
- MOT Expiry
- 15 Jul 2027
- Tax Status
- Taxed
- Color
- Black
SKODA SUPERB
1.8L · Petrol · Blue
- First Used
- Sep 2011
- MOT Expiry
- 04 Sep 2026
- Tax Status
- —
- Color
- Blue
BMW 520I M SPORT AUTO
Hybrid Electric (Clean) · Grey
- First Used
- Jul 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for GG61A Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about GG61A Plates
Where was the GG61A number plate series registered?
Vehicles starting with GG61A 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 GG61A?
The GG61A age identifier corresponds to vehicles first registered between September 2011 to February 2012.
How can I check the MOT history of a GG61A 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.