US EV Charger Reliability Data
Q1 2026 SNAPSHOT
Reliability is improving — but unevenly
The national average rose to 93.5 in Q1 2026 (up from 93.4 in Q4 2025), with most states now in the 90–95% range. Performance varies significantly by state and operator — driven by execution, not geography.
93.5
National reliability score, Q1 2026
Up from 93.4 in Q4 2025
97.6
Highest state reliability (DC)
Consistent top performer
77.7
Lowest state reliability (OK)
Up from 70.5% in Q1 2025
90–95%
Range for most US states
Was 85–92% in Q1 2025
STATE-LEVEL DATA
Q1 2026 reliability by state
Selected states from the Paren Q1 2026 dataset. Full state-level and station-level data available via API and flat file exports.
| STATE | RELIABILITY SCORE | RELATIVE PERFORMANCE | YOY TREND | ARCHETYPE |
|---|---|---|---|---|
| District of Columbia | 97.6 | ↑ | Healthy | |
| Nevada | 97.0 | ↑ | Healthy | |
| South Dakota | 96.2 | ↑ | Healthy | |
| California | 95.8 | ↑ | Healthy | |
| Idaho | 95.4 | ↑ | Healthy | |
| Washington | 95.3 | ↑ | Healthy | |
| Texas | 94.6 | ↑ | Pre-demand buildout | |
| Florida | 94.5 | ↑ | Stressed | |
| New Jersey | 94.8 | ↑ | Healthy | |
| New York | 93.0 | ↑ | Stressed | |
| Michigan | 90.8 | ↑ | Pre-demand buildout | |
| Arkansas | 87.9 | ↑ | Lagging | |
| US Average | 93.5 | ↑ from 93.4 | — | |
| Oklahoma | 77.7 | ↑ from 70.5 | Lagging |
Source: Paren US DCFC Dataset, Q1 2026. Full dataset available via API or flat file.
MARKET ANALYSIS
Four US fast-charging market archetypes
Reliability and utilization together reveal four distinct operating environments. Understanding which archetype a market falls into is critical for site selection, investment decisions, and network planning.
Healthy — CA, WA, NJ
High utilization with strong, improving reliability. The most mature markets and national benchmark. Operators here have proven that scale and performance are compatible.
Stressed — FL, NY, DC
Utilization above 25% with reliability starting to strain. These are the markets where densification is most urgently needed and where execution risk is highest.
Pre-demand buildout — TX, CO, MN
Strong reliability but below-average utilization. Infrastructure is ahead of demand, with improving economics as adoption catches up. Site selection is the key lever here.
Lagging — OK, rural markets
Low utilization and weaker reliability — driven more by execution gaps than demand shortfalls. Performance improvement is possible without major new investment.
METHODOLOGY
How Paren measures reliability
The Paren Reliability Index is a proprietary score calculated from real-time session data across more than 95% of US DCFC infrastructure.
- →Tracks recent successful charge sessions — with and without retries
- →Records failed charge attempts at the port level
- →Monitors station downtime across the observation period
- →Excludes free chargers from utilization calculations to avoid distortion
- →Updated quarterly; prior periods recalculated when methodology changes
- →Coverage: 95%+ of US DCFC ports; 90%+ of Canadian DCFC ports
- →Data sources: Paren Public Charging Infrastructure Dataset, AFDC, proprietary session models
FREQUENTLY ASKED QUESTIONS
Charger reliability — common questions
What is the average EV charger reliability rate in the US?
The US average reliability score was 93.5 in Q1 2026, up from 93.4 in Q4 2025. Most states now fall in the 90–95% range. This represents a meaningful improvement from Q1 2025, when the range was broader (approximately 85–92% for most states).
Which states have the most reliable EV fast chargers?
In Q1 2026, the top-performing states were DC (97.6), Nevada (97.0), South Dakota (96.2), California (95.8), and Idaho (95.4). These markets share strong operator execution and relatively mature infrastructure.
Is EV charger reliability improving over time?
Yes. The national average has risen from approximately 85–92% in Q1 2025 to 90–95% for most states in Q1 2026. The performance floor — previously the 70–78% range for lagging states — has improved to 78–88%, though a gap versus top-performing markets persists.
What causes variation in charger reliability across states?
Unlike utilization, reliability variation is driven primarily by operator execution — not geography. States with the same EV adoption levels can have very different reliability scores based on maintenance practices, equipment quality, and site management. This means reliability is an operator-controllable variable, not just a market condition.
How does Paren define charger reliability?
The Paren Reliability Index measures the percentage of tracked time spent in a functional charging state, accounting for successful sessions, failed attempts, and downtime. It includes sessions with retries (partial credit) and excludes test events and free chargers that would distort the metric.
Access station-level reliability data
Historical data from January 2024. Real-time updates. Available via API, flat file, or self-serve portal.
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