EV Charging in Sangju
1 charging station. Compare connectors, prices and reliability from real driver reviews.
NACS (Tesla) 67% · CCS1 33%
Sangju on the map
Charging profile
Around 100% of the 1 stations here are DC fast (over 22 kW), so rapid top-ups are easy to find. More than half of stations (100%) are open 24/7. NACS (Tesla) is the clear leader, making up 67% of the connector mix, ahead of CCS1. The fastest site in Sangju delivers up to 250 kW.
Fastest chargers in Sangju
The highest-power stations in the city.
- 1Sangju, South Korea250 kW
Recently opened in Sangju
Newest stations on the map, newest first.
- 1Sangju, South KoreaDec 2018
| # | Name | Network | Max kW | Connectors | Price | Reliability | Last confirmed | Report |
|---|---|---|---|---|---|---|---|---|
| 1 | Sangju, South Korea 24/7 4207 Gyeongsang-daero · Directions | Tesla Supercharger | 250 kW | CCS1, NACS (Tesla) | - | - | - |
Sangju, South Korea
Tesla Supercharger
Connectors
- Address
- 4207 Gyeongsang-daero
- Network
- Tesla Supercharger
- Points
- 12
- Hours
- available
EV charging in Sangju: FAQ
How many EV charging stations are there in Sangju?
There are 1 EV charging stations in Sangju, South Korea, operated across 1 network. Each listing shows connectors, power, and community check-ins so you can find one that works before you arrive.
What is the fastest EV charger in Sangju?
The fastest stations in Sangju deliver up to 250 kW of DC power. You can filter to fast charging (over 22 kW) to see only rapid and ultra-rapid sites.
Which charging networks operate in Sangju?
The most common networks in Sangju are Tesla Supercharger. Open any network to compare its coverage, charging speed, and reliability across the city.
How much does EV charging cost in Sangju?
Prices vary by network and connector (per kWh, per minute, or session). Drivers report what they actually paid, which is aggregated into a confidence-weighted price on each charger page.
EV charging near Sangju
- 서울시154 km · 62 stations
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Station data aggregates official public registries (US AFDC, France IRVE, Germany BNetzA, Nordic NOBIL) and open datasets, deduplicated into one record per site and improved by driver check-ins. How the data works.