US EV Charging Infrastructure Buildout
The growth curve of America's public EV charging network: from NREL AFDC station open-dates we roll up, per US state per month, the cumulative count of public charging stations and public ports (Level-2 + DC-fast). A clean continuous time series of EV buildout - the moat is the open-date→monthly-cumulative alignment the raw station dump doesn't give you.
- Source
- NREL AFDC
- Licence
- Redistributable open data
- Updates
- Monthly
- Data through
- 2026-07-01
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- Cumulative public EV charging stations per US state, monthly
- Plus cumulative public DC-fast and Level-2 ports; monotonic buildout curve
- Built from open-dates (a time series, not a static station dump)
- Source: U.S. DOE / NREL AFDC (public domain)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | US state (2-letter) | 100.0% | 52 |
| ts | timestamp (UTC) | Month | 100.0% | 372 |
| metric | str | Cumulative public stations / DC-fast ports / Level-2 ports | 100.0% | 3 |
| value | float | Cumulative count as of that month | 100.0% | 3,077 |
| unit | str | Unit | 100.0% | 1 |
| res_min | int | Native resolution (monthly) | 100.0% | 1 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: NREL AFDC (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("us-ev-charging-buildout_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 52 zones
AK · AL · AR · AZ · CA · CO · CT · DC · DE · FL · GA · HI · IA · ID · IL · IN · KS · KY · LA · MA · MD · ME · MI · MN · MO · MS · MT · NC · ND · NE · NH · NJ · NM · NV · NY · OH · OK · OR · PA · PR · RI · SC · SD · TN · TX · UT · VA · VT · WA · WI · WV · WY
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