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Global Tesla Supercharge Location Data

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Tesla

Supercharger

Locations

Ev

Charging

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Global Tesla Supercharge Location Data Dataset on Opendatabay data marketplace

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About

This collection offers detailed information pertaining to Tesla Supercharger locations across the globe. It serves as a valuable resource containing geographic coordinates, amenity details, operational specifications, and identifying details for nearly six thousand charging sites worldwide. The data enables users to analyze infrastructure growth, identify location patterns, and plan efficient electric vehicle routes.

Columns

The dataset features 11 columns, including specific details about each Supercharger location:
  • Supercharger: A unique identifier or location name for the charging station.
  • Street Address: The physical street address associated with the location.
  • City: The municipality where the charging station is situated.
  • State: The state or regional administrative division (note: approximately 2% of entries are missing state information).
  • Zip: The corresponding postal code (note: approximately one-third of entries lack a postal code).
  • Country: The nation where the Supercharger is located, covering 48 unique countries globally.
  • Stalls: The integer count of available charging stalls at the site, ranging from 2 to 88.
  • kW: The maximum power output (kilowatts) supported by the chargers, typically between 60 kW and 250 kW.
  • GPS: The latitude and longitude coordinates for precise geographical placement.
  • Elev(m): The elevation of the location, measured in meters.
  • Open Date: The date the charging location became operational (note: approximately 13% of entries are missing this date).

Distribution

The primary data file, named 'Supercharge Locations.csv', is provided in CSV format and is approximately 797 kB in size. The dataset currently contains close to 5,900 individual records detailing distinct charging locations. The data is expected to receive annual updates.

Usage

This data is ideal for various analytical and planning applications, including:
  • Route Optimisation: Developing algorithms for EV navigation that incorporate charging requirements.
  • Infrastructure Planning: Researchers and urban planners can use the geographic and power metrics to assess current density and future infrastructure needs.
  • Market Analysis: Analyzing the geographical distribution and growth trajectory of Tesla’s charging network, particularly focusing on highly represented areas like the USA and China.
  • Data Visualisation: Creating interactive maps and visualisations of global EV charging capabilities.

Coverage

The scope is worldwide, encompassing 48 countries. Geographically, coverage is heavily concentrated in the USA (approximately 39% of locations) and China (approximately 30%). Temporally, the data spans the opening dates of Superchargers from November 2012 up to June 2023. Elevation data, ranging from -380 metres to 4,338 metres, provides additional geographical context.

License

CC0: Public Domain

Who Can Use It

  • Electric Vehicle Enthusiasts: Individuals planning long-distance road trips or seeking detailed charging options.
  • Urban and Transportation Planners: Professionals assessing sustainable transport infrastructure development.
  • Data Scientists and Analysts: Individuals performing spatial analysis, time series studies on infrastructure growth, or competitive market intelligence.
  • Researchers: Academics studying the global transition to electric mobility and charging network deployment.

Dataset Name Suggestions

  • Global Tesla Supercharge Location Data
  • Worldwide Tesla EV Charging Network
  • Tesla Supercharger Geolocation Register

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

1

LISTED

20/10/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format