Our Methodology

Data Processing Pipeline

Raw station data from our sources goes through a multi-step processing pipeline before appearing on ChargingNear.me. This page explains each step so you can understand and trust the data you see.

1. Data Ingestion

Our primary sync pulls the full NREL Alternative Fuel Stations dataset daily via their public API. Each station record includes name, address, coordinates, connector types, network affiliation, pricing text, access hours, and facility type. We then enrich this with Google Places, OpenChargeMap, and OpenStreetMap data on a weekly cadence.

2. Deduplication

Stations appearing in multiple sources are matched using a combination of geographic proximity (Haversine distance < 50 meters), name similarity, and address normalization. When duplicates are found, we merge records, preferring NREL for core fields and enrichment sources for supplementary data (photos, ratings, kW detail).

3. Geocoding & Location Validation

All station coordinates are validated against their street addresses. Stations with coordinates that don't match their listed city/state (beyond a 25-mile tolerance) are flagged for review. We use reverse geocoding to verify that coordinates land in the correct municipality.

4. Quality Scoring

Each station receives a data quality score based on: recency of last confirmation, number of corroborating sources, completeness of fields (hours, pricing, connectors), and presence of user reviews. This score influences search ranking — stations with more complete and recent data appear higher in results.

5. City & State Aggregation

Station counts, network breakdowns, and connector type distributions are aggregated at the city and state level. Per-capita statistics use US Census Bureau population data. CO2 savings estimates use EPA eGRID emission factors specific to each station's grid subregion.

6. Demand Scoring (B2B)

Our property owner tools use a demand scoring model that considers: local EV registration density, existing charger availability (supply gap), traffic patterns from nearby highways, commercial activity density, and demographic factors correlated with EV adoption. Scores are normalized to a 0-100 scale for comparison across markets.

Limitations

  • Real-time availability depends on network operator data feeds, which are not universally available.
  • Pricing information is sourced from NREL and may not reflect recent rate changes by network operators.
  • Station decommissions may take 1-7 days to reflect after the network reports the change to NREL.
  • Some private or restricted-access stations may appear in results if they are listed in NREL as semi-public.

If you find inaccurate data, please submit a correction.