EV Charging Station Usage Data
Session-level data from 100K+ public chargers -- kWh delivered, session duration, pricing, and utilization rates by time of day and location.
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Find Me This Data →Overview
What Is EV Charging Station Usage Data?
EV charging station usage data captures session-level intelligence from public charging networks across the United States, including metrics on energy delivered (kWh), session duration, pricing per session, and real-time utilization patterns. This data spans Level 2 chargers and DC fast chargers, with granular breakdowns by time of day, geographic region, and charging network operator. The dataset enables utilities, charging network operators, and fleet managers to optimize infrastructure deployment, predict demand, and identify reliability bottlenecks in the rapidly evolving EV charging ecosystem. As of 2025, the industry is seeing marked improvement in charging reliability, with failed charging attempts declining significantly year-over-year, though satisfaction with pricing and availability remains variable by region.
Market Data
14% of EV owners
Failed Charging Visits (2025)
Source: JD Power
5 percentage points decrease from 2024
Year-over-Year Improvement in Reliability
Source: JD Power
21% in Pacific region
Regional Non-Charge Visit Rate (Highest)
Source: JD Power
60% of failures due to charger out of service/not working
Most Common Failure Reason
Source: JD Power
7,428 EV owners (BEVs and PHEVs)
Study Sample Size
Source: JD Power
Who Uses This Data
What AI models do with it.do with it.
Charging Network Operators
Monitor session reliability, identify underperforming chargers, and optimize availability by time of day and location to reduce non-charge visits and wait times.
Utilities and Infrastructure Planners
Use utilization patterns and regional demand data to plan new charger deployment, allocate resources, and forecast grid load during peak charging hours.
EV Fleet Managers
Assess charger reliability and cost-per-kWh by location and network operator to optimize fleet charging schedules and negotiate network contracts.
Automakers and Battery Researchers
Analyze session duration and charging patterns to inform battery design, pricing strategies, and partnerships with charging networks.
Pricing depends on the proposed terms
We do not have a verified, comparable price for your dataset. Consider the permitted uses, license term, exclusivity, provenance, coverage and quality. A seller asking price is a proposal, not an appraisal or guaranteed sale. Compare prices only when the source, date, currency, unit and license scope are known.
What Buyers Expect
What makes it valuable.valuable.
Accuracy of kWh Metering
Precise energy delivery records validated against charger hardware readings; timestamps synchronized to within seconds.
Session Completeness
All required fields captured: session start/end time, charger ID, location, network operator, pricing model, and outcome (successful vs. failed).
Reliability and Uptime Indicators
Clear flagging of failed sessions, out-of-service periods, and availability status to enable trend analysis and root-cause investigation.
Geographic and Temporal Granularity
Data segmented by region, city, and hourly intervals to support demand forecasting and infrastructure planning.
Potential applications and organizations
Who's buying.buying.
Ranks highest in both Level 2 and DC fast charger segments; operates proprietary charging network with session-level data for pricing optimization and customer experience monitoring.
Second-ranked Level 2 operator; monitors session data, utilization, and customer satisfaction across their network to improve reliability and cost competitiveness.
Second-ranked DC fast charger provider; tracks session performance, pricing, and regional availability to compete with Tesla Supercharger ecosystem.
Maintains comprehensive EV infrastructure census and operates the most popular EV driver app; provides data tools, APIs, and analytics to automakers, utilities, and charging networks.
Analyze session timing and kWh patterns to forecast grid demand and optimize load management during peak EV charging periods.
FAQ
Common questions.questions.
What is the most common reason for failed charging sessions?
Charger being out of service or not working properly accounts for 60% of all failed charging visits, making hardware reliability the dominant factor rather than network or software issues.
Which regions have the worst charging reliability?
The Pacific region reports the highest non-charge visit rate at 21%, with Seattle and Los Angeles experiencing the most unsuccessful charging attempts (25% and 24% respectively), while the East South Central region has the lowest failure rate at 7%.
How has charging reliability changed year-over-year?
Charging reliability improved significantly in 2025, with failed charging attempts dropping to 14% of all visits—a 5 percentage point improvement from 2024—despite slight declines in overall satisfaction scores.
Which charging providers rank highest in customer satisfaction?
Tesla Destination leads Level 2 chargers with a score of 661, followed by ChargePoint at 628. Tesla Supercharger dominates DC fast charging for the fifth consecutive year with a score of 709, followed by Red E at 668.
Sell yourev charging station usagedata.
Describe your ev charging station usage data and the uses you are authorized to offer. Price, legal suitability, and buyer interest require separate evaluation. No match or sale is guaranteed.
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