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Datasets:
TarekMasryo
/
Global-EV-Charging-Stations

Tasks:
Tabular Regression
Modalities:
Text
Tabular
Size:
100K<n<1M
Tags:
datasets
finance
energy
electric-vehicles
charging-stations
mobility
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
Community
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'stations'}) and 10 missing columns ({'is_fast_dc', 'power_kw', 'state_province', 'city', 'name', 'latitude', 'power_class', 'longitude', 'ports', 'id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/TarekMasryo/Global-EV-Charging-Stations/country_summary_2025.csv (at revision 9b1f96910452041b7aaa80952b0efb7a016735c1)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              country_code: string
              stations: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 498
              to
              {'id': Value('int64'), 'name': Value('string'), 'city': Value('string'), 'country_code': Value('string'), 'state_province': Value('string'), 'latitude': Value('float64'), 'longitude': Value('float64'), 'ports': Value('int64'), 'power_kw': Value('float64'), 'power_class': Value('string'), 'is_fast_dc': Value('bool')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'stations'}) and 10 missing columns ({'is_fast_dc', 'power_kw', 'state_province', 'city', 'name', 'latitude', 'power_class', 'longitude', 'ports', 'id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/TarekMasryo/Global-EV-Charging-Stations/country_summary_2025.csv (at revision 9b1f96910452041b7aaa80952b0efb7a016735c1)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

id
int64
name
string
city
string
country_code
string
state_province
null
latitude
float64
longitude
float64
ports
int64
power_kw
float64
power_class
string
is_fast_dc
bool
307,660
Av. de Tarragona
Andorra
AD
null
42.505254
1.528861
10
300
DC_ULTRA_(>=150kW)
true
301,207
Parquing Costa Rodona
Encamp
AD
null
42.537213
1.727014
10
22
AC_HIGH_(22-49kW)
false
301,206
Hotel Naudi
null
AD
null
42.576811
1.666061
1
11
AC_L2_(7.5-21kW)
false
301,205
Hotel Piolets Soldeu Centre
null
AD
null
42.576466
1.667317
1
22
AC_HIGH_(22-49kW)
false
301,204
Hotel Serras
null
AD
null
42.579458
1.659215
3
11
AC_L2_(7.5-21kW)
false
301,203
HOTEL LLOP GRIS
null
AD
null
42.57807
1.64882
2
22
AC_HIGH_(22-49kW)
false
301,202
Aparcament font del ferro
null
AD
null
42.58257
1.636854
3
11
AC_L2_(7.5-21kW)
false
301,201
Hotel l'Ermita
null
AD
null
42.554031
1.589863
1
11
AC_L2_(7.5-21kW)
false
301,200
Restaurante Hotel Les Pardines
Encamp
AD
null
42.530853
1.600491
1
11
AC_L2_(7.5-21kW)
false
301,199
La Solana Apartaments & Spa
Encamp
AD
null
42.534027
1.588139
1
7.4
AC_L1_(<7.5kW)
false
301,198
Estacio Ordino Arcalis Planells
null
AD
null
42.629215
1.498094
6
7.4
AC_L1_(<7.5kW)
false
301,197
Hotel Ordino
Ordino
AD
null
42.5557
1.533428
1
3.3
AC_L1_(<7.5kW)
false
301,196
Hotel Princesa Parc
La Massana
AD
null
42.573917
1.482224
1
11
AC_L2_(7.5-21kW)
false
301,195
Parking la Borda del avi
La Massana
AD
null
42.551185
1.510482
4
11
AC_L2_(7.5-21kW)
false
301,194
Apartaments Giberga
La Massana
AD
null
42.54662
1.524825
1
7.4
AC_L1_(<7.5kW)
false
301,193
AnyósPark The Mountain & Wellness Resort
La Massana
AD
null
42.531792
1.524056
4
7.4
AC_L1_(<7.5kW)
false
301,192
Hotel Silken Insitu Eurotel
les Escaldes
AD
null
42.513697
1.533125
1
11
AC_L2_(7.5-21kW)
false
301,191
Hotel Panorama
les Escaldes
AD
null
42.507949
1.540879
2
11
AC_L2_(7.5-21kW)
false
301,190
Hotel Metropolis
les Escaldes
AD
null
42.510163
1.540748
2
11
AC_L2_(7.5-21kW)
false
301,189
Hotel Golden Tulip
les Escaldes
AD
null
42.509204
1.540313
2
11
AC_L2_(7.5-21kW)
false
301,188
Empark Escaldes Centre
les Escaldes
AD
null
42.509641
1.53862
4
22
AC_HIGH_(22-49kW)
false
301,187
Hotel Starc
Andorra la Vella
AD
null
42.508013
1.532927
2
22
AC_HIGH_(22-49kW)
false
301,186
Hotel Màgic Andorra
Andorra la Vella
AD
null
42.509306
1.529974
1
11
AC_L2_(7.5-21kW)
false
301,185
Avinguda Meritxell
Andorra la Vella
AD
null
42.508475
1.524948
2
60
DC_FAST_(50-149kW)
true
301,184
Hotel Cervol
Andorra la Vella
AD
null
42.503007
1.5132
1
22
AC_HIGH_(22-49kW)
false
301,183
Carrer Prat Salit
null
AD
null
42.495534
1.50545
2
22
AC_HIGH_(22-49kW)
false
301,181
Hotel Coma Bella
null
AD
null
42.446477
1.494454
1
11
AC_L2_(7.5-21kW)
false
301,180
Naturland Cota 1600
null
AD
null
42.44192
1.50058
4
11
AC_L2_(7.5-21kW)
false
301,179
Supermercat Punt de Trobada
null
AD
null
42.439135
1.491917
1
11
AC_L2_(7.5-21kW)
false
301,178
C.C. River
null
AD
null
42.45371
1.486762
4
7.4
AC_L1_(<7.5kW)
false
299,667
Saltoki Andorra
null
AD
null
42.496702
1.499028
2
22
AC_HIGH_(22-49kW)
false
295,902
Parking Cubill Grau Roig
Encamp
AD
null
42.531766
1.696522
10
7.4
AC_L1_(<7.5kW)
false
295,900
Parking VIP Grau Roig
Encamp
AD
null
42.532671
1.700021
16
59
DC_FAST_(50-149kW)
true
281,157
121 PARC FLUVIAL
null
AD
null
42.498835
1.508645
2
22
AC_HIGH_(22-49kW)
false
281,156
225 Aparcament Andorra 2000
Andorra la Vella
AD
null
42.505345
1.530589
3
6
AC_L1_(<7.5kW)
false
281,155
202 APARCAMENT MCAUTO
Andorra la Vella
AD
null
42.505005
1.528173
1
22
AC_HIGH_(22-49kW)
false
281,154
117 Andorra Carrer de la Unio
les Escaldes
AD
null
42.507375
1.534481
2
50
DC_FAST_(50-149kW)
true
281,153
118 Andorra Prada Casadet QC 50
Andorra la Vella
AD
null
42.506091
1.522817
2
50
DC_FAST_(50-149kW)
true
281,152
107 Andorra Aparcament Pyrenees P22
Andorra la Vella
AD
null
42.508629
1.523756
2
22
AC_HIGH_(22-49kW)
false
281,151
104 Andorra Carrer Pompeu Fabra P22
Andorra la Vella
AD
null
42.50739
1.526513
2
22
AC_HIGH_(22-49kW)
false
281,150
101 Andorra Aparcament Valira P22
Andorra la Vella
AD
null
42.509338
1.533784
2
22
AC_HIGH_(22-49kW)
false
281,149
111 Escaldes Aparcament Veedors P22
les Escaldes
AD
null
42.509995
1.535456
2
22
AC_HIGH_(22-49kW)
false
281,148
114 Escaldes Prat Gran P22
les Escaldes
AD
null
42.509591
1.539121
2
22
AC_HIGH_(22-49kW)
false
281,147
112 Escaldes Rotonda Engolasters P22
les Escaldes
AD
null
42.512098
1.55009
2
22
AC_HIGH_(22-49kW)
false
281,146
103 Encamp FEDA P22
Encamp
AD
null
42.514836
1.553202
2
22
AC_HIGH_(22-49kW)
false
281,145
127 Aparcament de la Vena
Encamp
AD
null
42.531779
1.575758
2
6
AC_L1_(<7.5kW)
false
281,144
108 Encamp Prat de Baró P22
Encamp
AD
null
42.533503
1.580501
2
22
AC_HIGH_(22-49kW)
false
281,143
109 Encamp Els Arinsols P22
Encamp
AD
null
42.536644
1.583815
2
22
AC_HIGH_(22-49kW)
false
281,142
125 Aparcament edifici telecabina Canillo
Canillo
AD
null
42.566483
1.601121
2
22
AC_HIGH_(22-49kW)
false
281,141
119 Aparcament Telecabina del Tarter P22
null
AD
null
42.578442
1.646408
4
22
AC_HIGH_(22-49kW)
false
281,140
115 Soldeu P22
null
AD
null
42.576997
1.666538
2
22
AC_HIGH_(22-49kW)
false
281,139
305 Aparcament Avet
null
AD
null
42.575748
1.666805
4
6.4
AC_L1_(<7.5kW)
false
281,138
211 Aparcament Basers
null
AD
null
42.575642
1.669352
2
6.4
AC_L1_(<7.5kW)
false
281,137
401 ESGLESIA_PAS_DE_LA_CASA
Encamp
AD
null
42.543322
1.73356
2
22
AC_HIGH_(22-49kW)
false
281,136
601 NASA_ARCALIS
null
AD
null
42.63182
1.499841
2
22
AC_HIGH_(22-49kW)
false
281,135
609 NASA_SORTENY
null
AD
null
42.625854
1.551854
2
22
AC_HIGH_(22-49kW)
false
281,134
705 Arans CG3
null
AD
null
42.582808
1.519418
4
6.4
AC_L1_(<7.5kW)
false
281,133
704 Aparcament La Cortinada
Ordino
AD
null
42.572106
1.518583
4
6.4
AC_L1_(<7.5kW)
false
281,132
701 Ordino Av. de les Moles
Sornàs
AD
null
42.5639
1.527472
4
6.4
AC_L1_(<7.5kW)
false
281,131
701 Ordino Av. de les Moles
Ordino
AD
null
42.559553
1.531792
2
6.4
AC_L1_(<7.5kW)
false
281,130
702 Ordino Aparcament Plana de Babot
Ordino
AD
null
42.553512
1.531241
4
6.4
AC_L1_(<7.5kW)
false
281,129
703 Ordino Urb. Clota Verda
Ordino
AD
null
42.553777
1.52949
4
6.4
AC_L1_(<7.5kW)
false
281,128
604 NASA_ORDINO_AUDITORI
Ordino
AD
null
42.55662
1.535139
2
22
AC_HIGH_(22-49kW)
false
281,127
606 NASA_ORDINO_CEO
Ordino
AD
null
42.556215
1.532466
1
22
AC_HIGH_(22-49kW)
false
281,126
605 NASA_EL_TRAVES
La Massana
AD
null
42.545445
1.518143
2
22
AC_HIGH_(22-49kW)
false
281,125
603 NASA_LA_CLOSETA
La Massana
AD
null
42.544595
1.51546
2
22
AC_HIGH_(22-49kW)
false
281,124
608 NASA_FARRERA_NEGRA
La Massana
AD
null
42.546907
1.514457
2
22
AC_HIGH_(22-49kW)
false
281,122
607 NASA_PRAT_DEL_COLAT
La Massana
AD
null
42.549353
1.512004
2
22
AC_HIGH_(22-49kW)
false
281,121
602 NASA_CAUBELLA
La Massana
AD
null
42.536231
1.491806
2
22
AC_HIGH_(22-49kW)
false
281,120
611 NASA_ARINSAL_TCB
La Massana
AD
null
42.572038
1.483783
2
22
AC_HIGH_(22-49kW)
false
281,119
610 NASA_COLL_DE_LA_BOTELLA
La Massana
AD
null
42.544781
1.453206
2
22
AC_HIGH_(22-49kW)
false
281,118
Centre Comercial Nou Punt
null
AD
null
42.448096
1.482031
15
7.4
AC_L1_(<7.5kW)
false
281,117
510 MUTUA_GERMANDAT
Sant Julià de Lòria
AD
null
42.465236
1.490274
2
22
AC_HIGH_(22-49kW)
false
281,116
511 MUTUA_PRAT_NOU
Sant Julià de Lòria
AD
null
42.46854
1.493076
2
22
AC_HIGH_(22-49kW)
false
211,110
Parking Saba
Andorra la Vella
AD
null
42.508729
1.530795
4
22
AC_HIGH_(22-49kW)
false
202,291
Andorra Racing Saturn
Andorra la Vella
AD
null
42.505041
1.515253
4
180
DC_ULTRA_(>=150kW)
true
163,394
Hotel Guillem
Encamp
AD
null
42.535629
1.58318
1
7.4
AC_L1_(<7.5kW)
false
91,855
Sport Hotel Hermitage
Soldeu
AD
null
42.575459
1.671297
3
22
AC_HIGH_(22-49kW)
false
88,308
Hotel Bringué
El Serrat
AD
null
42.61977
1.540007
1
22
AC_HIGH_(22-49kW)
false
85,496
Hotel Roc Blanc
Escaldes
AD
null
42.509213
1.539297
1
22
AC_HIGH_(22-49kW)
false
85,154
Grau Roig Andorra Boutique Hotel & Spa
Grau Roig
AD
null
42.532655
1.701198
1
11
AC_L2_(7.5-21kW)
false
84,889
Hotel Piolets Park & Spa
Soldeu
AD
null
42.577997
1.663842
2
4
AC_L1_(<7.5kW)
false
84,189
Andorra Park Hotel
Andorra La Vella
AD
null
42.509276
1.522417
1
22
AC_HIGH_(22-49kW)
false
84,122
Hotel Nordic
El Tarter
AD
null
42.577795
1.650187
3
22
AC_HIGH_(22-49kW)
false
82,186
Centro Comercial Illa Carlemany
Escaldes-Engordany
AD
null
42.508714
1.534675
4
22
AC_HIGH_(22-49kW)
false
80,033
Holiday Inn Andorra
Andorra la Vella
AD
null
42.505845
1.519892
1
22
AC_HIGH_(22-49kW)
false
79,795
Hotel Palomé
Erts
AD
null
42.565144
1.491052
1
22
AC_HIGH_(22-49kW)
false
75,344
Hotel Plaza Andorra
Andorra la Vella
AD
null
42.506722
1.532278
1
22
AC_HIGH_(22-49kW)
false
73,220
Sta Coloma Mossén Lluís Pujol
Santa Coloma
AD
null
42.496959
1.500966
2
22
AC_HIGH_(22-49kW)
false
73,219
Escaldes Falgueró
Engordany
AD
null
42.512114
1.533495
2
22
AC_HIGH_(22-49kW)
false
73,218
120 Escaldes Esglesia P22
Escaldes-Engordany
AD
null
42.509108
1.542121
2
22
AC_HIGH_(22-49kW)
false
73,217
Escaldes Aparcament ILLA
Escaldes-Engordany
AD
null
42.508905
1.5341
2
22
AC_HIGH_(22-49kW)
false
73,216
Andorra Govern
Andorra la Vella
AD
null
42.506263
1.522724
2
22
AC_HIGH_(22-49kW)
false
73,215
Andorra Ana Maria Pla
Andorra la Vella
AD
null
42.507497
1.53326
2
22
AC_HIGH_(22-49kW)
false
73,214
Encamp La Palanqueta
Encamp
AD
null
42.534485
1.579488
2
22
AC_HIGH_(22-49kW)
false
73,213
Canillo Prat del Riu
Canillo
AD
null
42.565901
1.598916
2
22
AC_HIGH_(22-49kW)
false
303,054
Tesla Supercharger Sharjah
Sharjah
AE
null
25.325776
55.394672
8
250
DC_ULTRA_(>=150kW)
true
303,053
Tesla Supercharger Ras Al Khaimah
Ras Al Khaimah
AE
null
25.791492
55.966309
8
250
DC_ULTRA_(>=150kW)
true
303,052
Tesla Supercharger Fujairah
Fujairah City
AE
null
25.156768
56.349107
8
250
DC_ULTRA_(>=150kW)
true
303,051
Tesla Supercharger Dubai
Dubai
AE
null
25.199541
55.283352
16
250
DC_ULTRA_(>=150kW)
true
End of preview.

🌍 Global EV Charging Stations & EV Models Dataset (2025 Snapshot)

Author: Tarek Masryo · Kaggle
Version: v1.0 (2025-09-01)
License: CC BY 4.0

📌 TL;DR

A clean, analysis-ready dataset capturing the state of EV infrastructure in 2025:

  • 242,417 rows across 121 countries
  • 11 tidy columns describing charging sites
  • Companion files: country/world roll-ups + EV models

🚗 Why this dataset?

Electric mobility is booming, but data is scattered, inconsistent, and full of gaps.
This project offers a single, clean CSV snapshot plus contextual summaries, making it ideal for:

  • EV adoption analysis
  • Energy planning & sustainability research
  • Machine learning & dashboard prototyping

📂 Files Included

  • charging_stations_2025_world.csv — global stations (main file)
  • country_summary_2025.csv — per-country roll-up
  • world_summary_2025.csv — global KPIs
  • ev_models_2025.csv — companion EV model specs
  • OCM_CC_BY_4.0.txt — license text
  • dataset-metadata.json — structured metadata

🗄️ Data Dictionary

charging_stations_2025_world.csv

Column Type Description
id int Unique station ID (OCM)
name str Station name
city str City name
country_code str ISO-2 country code
state_province str State/Province (if available)
latitude float WGS84 latitude
longitude float WGS84 longitude
ports int Number of charging points at the site
power_kw float Maximum charging power (kW)
power_class str Derived class (slow/fast/HPC)
is_fast_dc bool True if power_kw ≥ 50

country_summary_2025.csv

Column Type Description
country str Country name
total_stations int Number of stations
avg_ports float Avg. ports per site
avg_power_kw float Avg. power (kW)
ev_adoption_rate float Estimated adoption rate (%)

ev_models_2025.csv

Column Type Description
model_id int EV model unique ID
brand str Manufacturer
model str Model name
battery_kwh float Battery capacity (kWh)
max_range_km int Max driving range (km)
fast_charging bool Supports fast charging (yes/no)

world_summary_2025.csv

Column Type Description
year int Year of snapshot
total_countries int Countries included (121)
total_stations int Global total stations
total_ev_models int Number of EV models tracked
avg_global_power float Global avg. power (kW)

🛠️ Quickstart 

from datasets import load_dataset

# Load dataset
ds = load_dataset("TarekMasryo/Global-EV-Charging-Stations")

# Explore
print(ds)
print(ds["train"][0])

💡 Suggested Uses

  • Compare EV infrastructure across regions
  • Measure share of fast-DC vs slow charging
  • Build EV adoption dashboards
  • Train ML models for site clustering or adoption forecasting
  • Prototype routing/location tools for EV drivers

📜 License & Attribution

  • Charging station data: © Open Charge Map — CC BY 4.0
    → “Contains data © Open Charge Map contributors.”
  • EV models: compiled from CC0-friendly sources. Attribution optional.
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