Datasets:

tarekmasryo
/

global-ev-infra-dataset

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CHANGELOG.md ADDED Viewed

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+# Changelog — EV Charging Stations Dataset
+## v1.0 (2025-09-01)
+- Initial global snapshot
+- 242,418 stations across 122 countries
+- Added derived columns: `power_class`, `is_fast_dc`
+- Included companion files: country summary, world summary, EV models

LICENSE ADDED Viewed

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+MIT License
+Copyright (c) 2025 Tarek Masryo
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

OCM_CC_BY_4.0.txt ADDED Viewed

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1	+ Contains data © Open Charge Map contributors — Licensed under CC BY 4.0.
2	+
3	+ This dataset includes data sourced from Open Charge Map.

README.md CHANGED Viewed

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----
-license: cc-by-4.0
----

+# 🌍 Global EV Charging Stations & EV Models Dataset (2025 Snapshot)
+**Author:** [Tarek Masryo](https://github.com/tarekmasryo) · [Kaggle](https://www.kaggle.com/datasets/tarekmasryo/global-ev-charging-stations)
+**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**:
+- **242,418 rows** across **122 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                  |
+| total_stations  | int    | Global total stations               |
+| total_ev_models | int    | Number of EV models tracked         |
+| avg_global_power| float  | Global avg. power (kW)              |
+---
+## 🛠️ Quickstart
+```python
+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.

charging_stations_2025_world.csv ADDED Viewed

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country_summary_2025.csv ADDED Viewed

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+country_code,stations
+US,82138
+GB,26825
+DE,23373
+ES,17825
+CA,16490
+FR,13820
+IT,10354
+NL,8091
+SE,4953
+NO,4790
+PT,3696
+RU,2203
+DK,2178
+IE,2002
+FI,1873
+JP,1641
+AT,1282
+TR,1278
+BE,1245
+AU,1241
+IN,1188
+NZ,978
+LT,960
+CH,878
+HU,864
+RO,715
+BR,644
+MY,611
+MX,579
+UA,563
+CZ,555
+PL,461
+EG,457
+IS,432
+ID,412
+DO,368
+IL,295
+GR,277
+HR,267
+SK,253
+HK,223
+SI,185
+CL,171
+CR,171
+EE,169
+TW,162
+KR,161
+ZA,159
+MA,151
+UY,138
+AE,131
+RS,109
+AD,96
+CY,91
+JO,88
+LU,88
+LV,83
+CO,61
+BG,59
+LK,58
+MT,55
+GE,50
+PY,47
+IM,41
+BY,40
+BA,39
+MC,37
+MD,34
+JM,33
+ME,32
+JE,29
+TH,28
+TN,25
+SM,25
+AR,22
+KH,22
+OM,22
+EC,21
+PH,16
+XK,15
+AL,15
+GG,15
+MK,12
+CN,12
+KE,12
+SG,9
+LI,8
+RE,8
+PE,7
+GI,7
+PA,6
+FO,5
+VN,4
+PR,4
+QA,4
+AM,4
+SA,3
+PS,3
+GH,3
+AX,3
+KZ,3
+PK,3
+TT,3
+AZ,2
+IQ,2
+RW,2
+MO,2
+SJ,1
+BB,1
+SZ,1
+BH,1
+BW,1
+NP,1
+NA,1
+ET,1
+UG,1
+AF,1
+UZ,1
+MM,1
+GT,1
+KG,1
+LC,1

dataset-metadata.json ADDED Viewed

	@@ -0,0 +1,20 @@

+{
+  "title": "EV Charging Stations \u2014 Global Clean Dataset (2025)",
+  "id": "ev-charging-stations-global-2025",
+  "licenses": [
+    {
+      "name": "cc-by-4.0"
+    }
+  ],
+  "subtitle": "Single-file global snapshot (11 columns). Derived from Open Charge Map (CC BY 4.0).",
+  "description": "A tidy global EV charging dataset (single CSV) with 11 columns, plus companion files (country summary, world summary, EV models). See README for schema and attribution.",
+  "isPrivate": false,
+  "keywords": [
+    "EV",
+    "electric vehicles",
+    "charging",
+    "infrastructure",
+    "mobility",
+    "energy"
+  ]
+}

eda-tutorial-global-ev-charging-models.ipynb ADDED Viewed

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ev_models_2025.csv ADDED Viewed

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+make,model,market_regions,powertrain,first_year,body_style,origin_country
+Tesla,Model S,Global (US/EU/UK/ME),BEV,2012,Sedan,US
+Tesla,Model 3,Global (US/EU/UK/ME/CN),BEV,2017,Sedan,US
+Tesla,Model X,Global (US/EU/UK/ME),BEV,2015,SUV,US
+Tesla,Model Y,Global (US/EU/UK/ME/CN),BEV,2020,SUV,US
+Tesla,Cybertruck,US (limited),BEV,2023,Pickup,US
+Nissan,Leaf,Global (EU/UK/US/JP),BEV,2010,Hatchback,JP
+Chevrolet,Bolt EV,US/CA (discontinued 2023; returning),BEV,2016,Hatchback,US
+Chevrolet,Bolt EUV,US/CA (discontinued 2023),BEV,2021,Crossover,US
+Ford,Mustang Mach-E,US/EU/UK/ME,BEV,2020,SUV,US
+Ford,F-150 Lightning,US/CA,BEV,2022,Pickup,US
+Volkswagen,ID.3,EU/UK,BEV,2020,Hatchback,DE
+Volkswagen,ID.4,Global (US/EU/UK/CN),BEV,2020,SUV,DE
+Volkswagen,ID. Buzz,EU/UK/US,BEV,2022,Van,DE
+Skoda,Enyaq iV,EU/UK,BEV,2020,SUV,CZ
+Audi,Q4 e-tron,EU/UK/US,BEV,2021,SUV,DE
+Porsche,Taycan,Global (EU/UK/US/ME/CN),BEV,2019,Sedan/Wagon,DE
+Cupra,Born,EU/UK,BEV,2021,Hatchback,ES
+Hyundai,Kona Electric,Global (EU/UK/US/ME),BEV,2018,SUV,KR
+Hyundai,IONIQ 5,Global (EU/UK/US/ME),BEV,2021,Crossover,KR
+Hyundai,IONIQ 6,Global (EU/UK/US/ME),BEV,2022,Sedan,KR
+Kia,EV6,Global (EU/UK/US/ME),BEV,2021,Crossover,KR
+Kia,EV9,Global (EU/UK/US/ME),BEV,2023,SUV (3-row),KR
+Genesis,GV60,EU/UK/US/ME,BEV,2022,Crossover,KR
+BMW,i4,Global (EU/UK/US),BEV,2021,Sedan,DE
+BMW,iX,Global (EU/UK/US),BEV,2021,SUV,DE
+BMW,i5,Global (EU/UK/US),BEV,2023,Sedan,DE
+Mercedes-Benz,EQA,EU/UK,BEV,2021,SUV,DE
+Mercedes-Benz,EQB,EU/UK/US,BEV,2021,SUV,DE
+Mercedes-Benz,EQE,EU/UK/US,BEV,2022,Sedan/SUV,DE
+Mercedes-Benz,EQS,Global (EU/UK/US/ME),BEV,2021,Sedan/SUV,DE
+Volvo,XC40 Recharge,EU/UK/US,BEV,2020,SUV,SE
+Volvo,C40 Recharge,EU/UK/US,BEV,2021,Crossover,SE
+Volvo,EX30,EU/UK/ME,BEV,2023,SUV,SE
+Volvo,EX90,EU/US (rolling out),BEV,2024,SUV,SE
+Polestar,2,Global (EU/UK/US),BEV,2019,Liftback,SE/CN
+Polestar,3,EU/US/UK (2024-2025),BEV,2023,SUV,SE/CN
+Peugeot,e-208,EU/UK,BEV,2019,Hatchback,FR
+Peugeot,e-2008,EU/UK,BEV,2020,SUV,FR
+Opel,Corsa-e,EU/UK,BEV,2020,Hatchback,DE
+Citroën,ë-C4,EU/UK,BEV,2020,Crossover,FR
+Fiat,500e,EU/US (reintroduced),BEV,2020,Hatchback,IT
+Renault,Megane E-Tech Electric,EU/UK,BEV,2022,Hatchback,FR
+Dacia,Spring,EU/UK,BEV,2021,City car,RO/CN
+Toyota,bZ4X,Global (EU/UK/US/JP),BEV,2022,SUV,JP
+Subaru,Solterra,Global (EU/UK/US/JP),BEV,2022,SUV,JP
+Honda,e,EU/JP,BEV,2019,City car,JP
+Honda,e:Ny1,EU/UK,BEV,2023,SUV,JP
+Mazda,MX-30,EU/US (limited),BEV,2020,Crossover,JP
+Jaguar,I-Pace,Global (EU/UK/US),BEV,2018,SUV,UK
+Lucid,Air,US/EU/ME,BEV,2021,Sedan,US
+Lucid,Gravity,US (from 2025),BEV,2025,SUV,US
+Rivian,R1T,US/CA,BEV,2021,Pickup,US
+Rivian,R1S,US/CA,BEV,2022,SUV,US
+BYD,Dolphin,Global (EU/ME/LA/CN),BEV,2021,Hatchback,CN
+BYD,Seal,Global (EU/ME/CN),BEV,2022,Sedan,CN
+BYD,Han,CN/ME/EU (limited),BEV,2020,Sedan,CN
+BYD,Tang,CN/EU (limited),BEV,2018,SUV,CN
+NIO,ET5,CN/EU (select),BEV,2022,Sedan,CN
+NIO,ET7,CN/EU (select),BEV,2021,Sedan,CN
+NIO,ES6,CN/EU (select),BEV,2019,SUV,CN
+XPeng,P7,CN/EU (select),BEV,2019,Sedan,CN
+XPeng,G9,CN/EU (select),BEV,2022,SUV,CN
+Smart,#1,EU/UK/CN,BEV,2022,SUV,CN/DE

world_summary_2025.csv ADDED Viewed

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+country_code,country,count,max_power_kw_max
+US,United States,83821,600
+GB,United Kingdom,27437,560
+DE,Germany,24465,400
+CA,Canada,18203,400
+ES,Spain,17864,1000
+FR,France,13837,400
+IT,Italy,10376,500
+NL,Netherlands,8111,501
+SE,Sweden,4962,500
+NO,Norway,4794,350
+PT,Portugal,3713,1000
+RU,Russian Federation,2212,320
+DK,Denmark,2179,400
+IE,Ireland,2008,400
+FI,Finland,1880,400
+JP,Japan,1644,250
+TR,Turkey,1293,480
+AT,Austria,1285,350
+BE,Belgium,1250,400
+AU,Australia,1243,400
+IN,India,1192,1000000
+NZ,New Zealand,981,300
+LT,Lithuania,962,400
+IS,Iceland,931,250
+CH,Switzerland,878,350
+HU,Hungary,869,360
+RO,Romania,720,300
+BR,Brazil,650,360
+MY,Malaysia,616,640
+MX,Mexico,580,990
+UA,Ukraine,565,360
+CZ,Czech Republic,561,400
+PL,Poland,463,350
+EG,Egypt,460,160
+ID,Indonesia,413,200
+DO,Dominican Republic,368,225
+IL,Israel,297,360
+GR,Greece,279,300
+HR,Croatia,268,400
+SK,Slovakia,254,350
+HK,Hong Kong,224,120
+SI,Slovenia,185,350
+CL,Chile,180,180
+CR,Costa Rica,173,180
+EE,Estonia,170,350
+TW,"Taiwan, Province Of China",164,360
+KR,"Korea, Republic Of",161,250
+ZA,South Africa,159,200
+MA,Morocco,154,180
+UY,Uruguay,140,300
+AE,United Arab Emirates,132,250
+RS,Serbia,109,350
+AD,Andorra,96,300
+CY,Cyprus,91,150
+LU,Luxembourg,90,400
+JO,Jordan,88,200
+LV,Latvia,83,350
+CO,Colombia,61,150
+BG,Bulgaria,59,360
+IM,Isle Of Man,58,75
+LK,Sri Lanka,58,50
+GE,Georgia,56,120
+MT,Malta,55,45
+PY,Paraguay,47,120
+BA,Bosnia And Herzegovina,40,160
+BY,Belarus,40,150
+MC,Monaco,37,160
+MD,"Moldova, Republic Of",34,150
+JM,Jamaica,34,150
+ME,Montenegro,32,80
+JE,Jersey,29,150
+TH,Thailand,28,120
+TN,Tunisia,25,150
+SM,San Marino,25,22
+AR,Argentina,22,160
+OM,Oman,22,180
+KH,Cambodia,22,120
+EC,Ecuador,21,40
+PH,Philippines,16,250
+AL,Albania,15,180
+XK,Kosovo,15,300
+GG,Guernsey,15,25
+MK,Macedonia,12,160
+KE,Kenya,12,22
+CN,China,12,120
+SG,Singapore,9,50
+RE,Reunion,8,100
+LI,Liechtenstein,8,120
+PE,Peru,7,10
+GI,Gibraltar,7,120
+PA,Panama,6,50
+FO,Faroe Islands,5,50
+PR,Puerto Rico,4,72
+VN,Viet Nam,4,22
+AM,Armenia,4,150
+QA,Qatar,4,250
+PK,Pakistan,3,22
+PS,"Palestinian Territory, Occupied",3,60
+TT,Trinidad And Tobago,3,60
+AX,Aland Islands,3,50
+GH,Ghana,3,11
+SA,Saudi Arabia,3,22
+KZ,Kazakhstan,3,120
+AZ,Azerbaijan,2,60
+IQ,Iraq,2,120
+RW,Rwanda,2,50
+MO,Macao,2,120
+MM,Myanmar,1,1000
+UG,Uganda,1,50
+GT,Guatemala,1,
+NP,Nepal,1,30
+UZ,Uzbekistan,1,
+AF,Afghanistan,1,22
+KG,Kyrgyzstan,1,40
+ET,Ethiopia,1,22
+NA,Namibia,1,11
+BW,Botswana,1,22
+BH,Bahrain,1,22
+BB,Barbados,1,
+SZ,Swaziland,1,11
+LC,Saint Lucia,1,7
+SJ,Svalbard And Jan Mayen,1,