
Most conversations about EV charging infrastructure focus on growth: how many ports, how many stations, which states are ahead. But as fast-charging networks mature, a different question is becoming more important: how well are those ports actually working?
Reliability is now one of the most consequential metrics for drivers, fleets, network operators, and policymakers — and one of the least standardized. Here’s how Paren measures it, and why the difference between a score of 90 and 97 matters more than it might seem.
The word most people reach for is uptime. But uptime — whether a port is technically online — does not capture what drivers, fleet operators, and network operators actually care about.
A port can be “up” and still fail to initiate a session. It can show as available in a dashboard and be broken in the field. It can have a working connector and a payment system that times out.
A meaningful reliability metric needs to measure outcomes, not just status signals.
Paren monitors more than 95% of U.S. DC fast-charging infrastructure in real time, processing over 100 million data events per day. That volume of data makes it possible to measure reliability at the session level — not just whether a port is online, but what actually happens when a driver plugs in.
The Paren reliability index is a composite score that accounts for four distinct outcomes:
This matters because it captures the full spectrum of reliability failure. A port that frequently requires retries before a session starts is degrading the driver experience even if most sessions eventually succeed. A port that is technically online but failing repeated charge attempts can look fine in uptime data and look very different in Paren’s index.
Scores are calculated at the network and state level and are continuously updated, providing a consistent basis for comparison across operators and geographies.
As of Q1 2026, most U.S. states score around 90 on Paren’s reliability index — a strong baseline that reflects real progress in network performance. Top-performing states are at or approaching 97 (District of Columbia [97.6] and Nevada [97.0]). In Canada, the national score sits at 91, with most provinces above 90.
The gap between 90 and 97 is operationally meaningful. A lower score indicates more degraded charging experiences, whether that means retries, failed attempts, or downtime. At the driver level, those differences show up as uncertainty: a charging stop that should be routine may require another attempt, another app interaction, or another station.
In Canada, Q1 2026 data shows reliability pressure beginning to emerge in higher-utilization markets. This is a pattern worth watching. As networks scale and session volumes increase, reliability does not automatically scale with them. More infrastructure, more sessions, and more software interactions create more potential points of failure.
Maintaining reliability at scale requires more than deploying hardware. It depends on proactive maintenance, faster fault resolution, and tighter monitoring. Reliability at scale is an operational capability — not just a hardware question.
For charge point operators, reliability increasingly affects business outcomes. Fleet operators, automakers, and other partners are paying closer attention to whether networks can deliver consistent charging experiences at scale. In a competitive market, persistent reliability issues can create real commercial consequences.
For policymakers and grant administrators, reliability is also becoming a meaningful benchmark. Deploying infrastructure is one goal. Ensuring that infrastructure works is another — and a harder one to evaluate without consistent, session-level data.
Next time, we’ll review the state of charging reliability tracking across the industry.