SO16A Series Number Plates
UK vehicles registered in Edinburgh, Scotland during March 2016 to August 2016 with registration prefix SO16A.
- Area Office
- Edinburgh (Edinburgh, Scotland)
- Release Period
- March 2016 to August 2016
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 93.5%
Average MOT Pass Rate
Based on 31 historical tests
Common Colors
Active Plates in SO16A Series(7 of 7 displayed)
VOLKSWAGEN TIGUAN
2.0L · Diesel · Grey
- First Used
- Mar 2017
- MOT Expiry
- 21 Aug 2027
- Tax Status
- Untaxed
- Color
- Grey
JAGUAR XE
3.0L · Petrol · Grey
- First Used
- Jun 2016
- MOT Expiry
- 16 Nov 2025
- Tax Status
- SORN
- Color
- Grey
MERCEDES-BENZ GLA
2.1L · Diesel · Black
- First Used
- Sep 2017
- MOT Expiry
- 28 Oct 2026
- Tax Status
- Taxed
- Color
- Black
TESLA MODEL 3 LONG RANGE AWD
Electric · Black
- First Used
- Sep 2021
- MOT Expiry
- 02 Mar 2027
- Tax Status
- Taxed
- Color
- Black
BMW 6 SERIES
2.0L · Diesel · Black
- First Used
- Jul 2020
- MOT Expiry
- 05 Mar 2027
- Tax Status
- Taxed
- Color
- Black
HYUNDAI TUCSON
1.7L · Diesel · White
- First Used
- Apr 2016
- MOT Expiry
- 15 Jul 2027
- Tax Status
- Taxed
- Color
- White
BMW 118
1.5L · Petrol · Black
- First Used
- Mar 2017
- MOT Expiry
- 08 Jul 2027
- Tax Status
- Taxed
- Color
- Black
Reliability & Common Problem Guides for SO16A Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about SO16A Plates
Where was the SO16A number plate series registered?
Vehicles starting with SO16A were assigned to the Edinburgh covering Edinburgh, Scotland. The first two letters (SO) identify the memory tag assigned by the DVLA.
What registration period is SO16A?
The SO16A age identifier corresponds to vehicles first registered between March 2016 to August 2016.
How can I check the MOT history of a SO16A 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.