tarekmasryo/global-ev-infra-dataset

🌍 Global EV Charging Stations & EV Models (2025)

Author: Tarek Masryo
License: CC BY 4.0
Version: v1.0 (2025-09-15)

A clean, analysis-ready snapshot of global EV infrastructure:

• Main stations table: 242,417 rows (charging sites)
• Companion summaries: country + world rollups
• EV models table for enrichment

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📦 What’s inside (files)

All CSVs live under data/:

• data/charging_station.csv — charging stations (main table)
• data/charging_station_ml.csv — ML-oriented derived table (compact / engineered signals)
• data/country_summary.csv — per-country rollup (counts + fast-share)
• data/world_summary.csv — extended rollup (counts + power stats + fast/ultra flags)
• data/ev_models.csv — EV model specs (make/model/variant + metadata)

Additional repo files:

• OCM_CC_BY_4.0.txt — Open Charge Map attribution text
• CHANGELOG.md, LICENSE

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🧩 Why configs?

This repo includes multiple CSVs with different schemas.
Configs make the Hub viewer stable and let you load each table explicitly via load_dataset(repo_id, "<config>").

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🚀 Quick start

from datasets import load_dataset, get_dataset_config_names

repo_id = "tarekmasryo/global-ev-infra-dataset"
print(get_dataset_config_names(repo_id))

# Stations
stations = load_dataset(repo_id, "stations")["train"].to_pandas()

# Summaries
country = load_dataset(repo_id, "country_summary")["train"].to_pandas()
world   = load_dataset(repo_id, "world_summary")["train"].to_pandas()

# EV models
models  = load_dataset(repo_id, "ev_models")["train"].to_pandas()

print(stations.shape, country.shape, world.shape, models.shape)

Tip: load_dataset(repo_id) will load the first config (stations) if you omit the config name.

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📚 Data dictionary

charging_station.csv (stations table)

Typical columns include:

• id, name
• city, state_province, country_code
• latitude, longitude
• ports, power_kw
• power_class, is_fast_dc

country_summary.csv (country rollup)

Columns:

• country_code, country
• station_count, port_count
• fast_station_share, fast_port_share

world_summary.csv (extended rollup)

Columns (includes country summary + extra indicators):

• country_code, country
• station_count, port_count
• fast_station_count, fast_port_count
• fast_station_share, fast_port_share
• max_power_kw, median_power_kw
• dc_fast_station_count, dc_ultra_station_count
• has_fast_dc, has_ultra_dc

ev_models.csv (EV models)

Columns:

• make, model, variant
• powertrain, segment, body_style
• first_year, origin_country, market_regions

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🎯 Suggested uses

• Compare charging coverage across countries/regions
• Fast-DC vs slow infrastructure analysis
• Geospatial dashboards & planning
• Enrich infra analytics with EV model metadata

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📜 License & attribution

• Charging station data: Contains data © Open Charge Map contributors (CC BY 4.0)
• Dataset packaging: CC BY 4.0 — attribution required