TT70N Series Number Plates
UK vehicles during September 2020 to February 2021 with registration prefix TT70N.
- Area Office
- DVLA Region (TT)
- Release Period
- September 2020 to February 2021
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 85.7%
Average MOT Pass Rate
Based on 7 historical tests
Common Colors
Active Plates in TT70N Series(7 of 7 displayed)
AUDI S3 TFSI QUATTRO S-A
2.0L · Petrol · Black
- First Used
- Dec 2020
- MOT Expiry
- 17 Mar 2027
- Tax Status
- —
- Color
- Black
MERCEDES-BENZ A 180 AMG LNE EXECUTIVE MHEV A
Hybrid Electric (Clean) · Black
- First Used
- Sep 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
HYUNDAI IONIQ 6 PREMIUM EV
Electric · Grey
- First Used
- Oct 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
NISSAN JUKE N-CONNECTA DIG-T S-A
1.0L · Petrol · Black
- First Used
- Dec 2022
- MOT Expiry
- 12 Dec 2026
- Tax Status
- —
- Color
- Black
POLESTAR POLESTAR 2 EV AWD
Electric · Silver
- First Used
- Nov 2022
- MOT Expiry
- 24 Nov 2026
- Tax Status
- —
- Color
- Silver
TESLA MODEL Y LONG RANGE AWD
Electric · Red
- First Used
- May 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Red
KIA PICANTO X-LINE S AUTO
1.0L · Petrol · White
- First Used
- Oct 2022
- MOT Expiry
- 24 Oct 2026
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for TT70N Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about TT70N Plates
Where was the TT70N number plate series registered?
Vehicles starting with TT70N were assigned to the DVLA regional office covering the UK. The first two letters (TT) identify the memory tag assigned by the DVLA.
What registration period is TT70N?
The TT70N age identifier corresponds to vehicles first registered between September 2020 to February 2021.
How can I check the MOT history of a TT70N 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.