Guide · Health insurance

Evaluate health insurers using government data

A framework for assessing health insurers with NAIC complaint ratios, CMS denial rates, and prior-authorization metrics, beyond star ratings and marketing.

46%
Highest denial
2%
Lowest denial
3
Data pillars

According to the U.S. Centers for Medicare & Medicaid Services Transparency in Coverage Public Use File (PY2025, published March 2026) and NAIC Market Conduct Annual Statement data (2024), PlainInsurer analyzed more than 1,000,000 marketplace claims alongside complaint records from all 50 states to build this three-pillar framework. See our methodology for the full computation.

The short answer

The best predictor of how a health insurer will treat you is how it already treats its policyholders, measured by complaint ratios, claim-denial rates, and prior-authorization practices, not marketing. Three independent government signals, layered, beat any single number.

3
government data pillars
NAIC
complaint ratio
CMS
denial + PA rate
A–F
composite grade

Each signal is computed by an upstream regulator using a documented methodology, so it is comparable across insurers. NAIC MCAS 2024 + CMS Transparency in Coverage PY2025. Data as of July 2026.

Claim-denial rates swing widely between insurers

Highest and lowest claim-denial rates among large marketplace health insurers

% of claims denied

What this shows The same claim could be paid by one insurer and denied by another. Pair the denial rate with the complaint ratio and prior-auth practices to read the full consumer-friction picture.

Source CMS Transparency in Coverage PUF (PY2025) As of 2025

Why government data is more reliable than star ratings

Health-insurance star ratings combine quality measures with member-satisfaction surveys. While useful, they can be influenced by the demographic composition of a plan's membership and the plan's investment in survey-boosting initiatives. Regulatory complaint data from NAIC and CMS captures a different dimension: how many policyholders were sufficiently dissatisfied to file formal complaints or had claims denied. These are observable behaviors, not survey responses. PlainInsurer makes this data searchable across 209 tracked insurers so you can compare before choosing a plan.

The three pillars of insurer evaluation

Complaint ratio (NAIC MCAS): how many formal complaints an insurer receives relative to its market share. Companies with ratios consistently above 1.5 show patterns of consumer friction that deserve investigation before you buy.

Claim denial rate (CMS): what percentage of claims the insurer denies. This directly measures how often the company says "no" to coverage your doctor ordered. High denial rates increase your financial risk and administrative burden, even if many denials are eventually reversed on appeal.

Prior-authorization denial rate (CMS, for MA plans): how often the insurer denies prior-authorization requests. Prior authorization is required for many medications, procedures, and specialist referrals; high denial rates delay or prevent care. This metric is especially important for Medicare Advantage plan selection.

Reading the PlainInsurer reputation grade

What it tells you: the A–F grade combines all three metrics into a single composite score, normalized against the insurer population. An "A" means the company performs better than most peers on complaints, denials, and prior authorizations; an "F" means worse.

What it does not tell you: whether the company's network includes your doctors, whether the premium fits your budget, or whether coverage terms match your needs. The grade measures how the company treats claims and complaints, not whether the policy is right for your situation.

How to use it: use the grade as a filter. Among plans that meet your coverage and price requirements, prefer companies with higher grades. A plan that is $20/month cheaper but carries an F grade may cost far more in denied claims and hassle than a slightly pricier A-grade alternative.

State-level variation matters

Insurance regulation is state-based, and insurer behavior can vary significantly by state. A company with a good national complaint ratio may have elevated complaints in your state due to local market conditions, regulatory environment, or network-adequacy issues. Always check your state specifically on each company profile page.

Network adequacy: the missing metric

One critical dimension that complaint data and denial rates do not capture is network adequacy, whether the insurer has sufficient in-network providers in your area. An insurer can have excellent complaint ratios but limited specialist access in your county. Network adequacy issues are the most common reason members experience access problems that never show up in denial statistics, because the member never files a claim, they simply cannot get an appointment. Before selecting a plan, verify that your current doctors are in-network and that the plan has adequate specialist and hospital coverage in your area.

Why layering matters more than any single signal

A single quantitative signal can flag a problem but cannot distinguish between causes. A high complaint ratio can reflect coverage disputes, claims-handling friction, network-access issues, or aggressive marketing. Layering complaint data with denial rate, prior-authorization activity, and appeals-overturn rate progressively localizes the friction source. When multiple signals point the same direction, the conclusion is more robust than when only one is elevated. The composite score is a useful summary, but the per-component breakdown is more informative for comparison decisions.

What this means for you

Identify your candidate insurers from your employer, marketplace, or Medicare options. Look up each on PlainInsurer and check the reputation grade, complaint ratio, and denial rate. Compare within the same line, health to health, not health to auto. Check your state specifically, since national grades are only a starting point. And revisit annually: insurer behavior changes over time, so check before each renewal period to see whether your current company's metrics have shifted.

A practical framework

Five steps to evaluate a health insurer with public data.

This guide describes a quantitative comparison framework for reading public regulatory data on health insurers. It is not advice about which specific plan to enroll in, enrollment depends on premium, network, formulary, and personal circumstances. Work with a licensed broker, navigator, or your state's marketplace.