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Data Sources & Methodology

Learn where PolicyPath's insurance cost data comes from, how we calculate averages, and when information is updated.

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Data Sources & Methodology

PolicyPath is committed to providing accurate, well-sourced insurance information. This page explains where our data comes from, how we process it, and the limitations you should be aware of.

Our Data Sources

Auto Insurance Data

SourceWhat We UseUpdate Frequency
National Association of Insurance Commissioners (NAIC) (opens in new tab)State-by-state premium averages, market share dataAnnual (Q1)
State Department of Insurance filingsRate filings, approved premium rangesAs filed
Insurance Information Institute (III) (opens in new tab)Industry statistics, trend analysisQuarterly
Quadrant Information ServicesZIP code-level rate data for validationMonthly

Methodology: Auto insurance averages represent full-coverage policies (100/300/100 liability limits + comprehensive + collision with $500 deductible). These are averages across all age groups, driving records, and vehicle types within each state.

Health Insurance Data

SourceWhat We UseUpdate Frequency
Centers for Medicare & Medicaid Services (CMS) (opens in new tab)ACA Marketplace benchmark premiumsAnnual (post-Open Enrollment)
HealthCare.gov (opens in new tab)Plan availability, subsidy calculator dataAnnual
Kaiser Family Foundation (KFF) (opens in new tab)Premium analysis, subsidy estimatesAnnual
State-based marketplace dataState-specific plan informationAnnual

Methodology: Health insurance figures represent the second-lowest-cost Silver plan (ACA benchmark) for a 40-year-old non-smoker, before premium tax credits. Most enrollees pay significantly less after subsidies. Family plan costs vary based on household size and ages.

Home Insurance Data

SourceWhat We UseUpdate Frequency
National Association of Insurance Commissioners (NAIC) (opens in new tab)State average premiums, loss ratiosAnnual (Q1)
Insurance Information Institute (III) (opens in new tab)Catastrophe data, claims statisticsQuarterly
State Department of InsuranceRate filings, regulatory dataAs filed
FEMA / National Flood Insurance ProgramFlood zone data, flood insurance costsAnnual

Methodology: Home insurance averages are based on HO-3 policies for a $300,000 dwelling with standard deductibles. Actual costs vary significantly based on home age, construction type, location-specific risks (flood zones, wildfire areas), and coverage options.

Life Insurance Data

SourceWhat We UseUpdate Frequency
LIMRA (opens in new tab)Industry sales data, coverage trendsQuarterly
American Council of Life Insurers (ACLI) (opens in new tab)Policy statistics, industry dataAnnual
Carrier rate filingsPremium ranges by age and health classAs filed

Methodology: Life insurance estimates use published rate tables for preferred health classifications. Actual premiums depend heavily on individual health history, lifestyle factors, and underwriting decisions.


How We Calculate Averages

State Averages

Our state-by-state figures represent arithmetic means across all policyholders in that state, as reported by regulatory sources. These averages include:

  • All age groups and demographics
  • Urban and rural areas combined
  • Various coverage levels (weighted by market share)
  • All insurance carriers operating in the state

National Averages

National averages are calculated as population-weighted means of state averages, reflecting the distribution of policyholders across states.

“vs. National Average” Percentages

The comparison percentages show how much higher or lower a state’s average is compared to the national average:

1vs. Average = ((State Average - National Average) / National Average) × 100%

A value of “+15%” means the state average is 15% higher than national; “-20%” means 20% lower.


Data Freshness & Updates

Data TypeLast UpdatedNext Update
Auto InsuranceDecember 2025Q1 2026
Health InsuranceDecember 2025January 2026
Home InsuranceDecember 2025Q1 2026
Life InsuranceDecember 2025Q2 2026

We review and update our data:

  • Annually for most insurance metrics (typically Q1 when new industry data is released)
  • After Open Enrollment for ACA/health insurance data
  • As needed when significant regulatory changes occur

Each page displaying data includes a “Last Updated” notation.


Limitations & Caveats

What Our Data Shows

Our figures represent state averages intended for comparison and general guidance. They help you understand:

  • How your state compares to others
  • General price ranges for different insurance types
  • Factors that influence insurance costs

What Our Data Doesn’t Show

  • Your specific premium: Individual rates depend on personal factors (age, health, driving record, credit score, claims history) that averages can’t capture
  • Available discounts: Multi-policy bundles, safe driver discounts, and other savings aren’t reflected in averages
  • Exact quotes: Only an insurance carrier can provide binding premium quotes

Variance Within States

Within any state, actual premiums can vary dramatically:

  • Age: A 20-year-old driver typically pays 2-3x more than a 40-year-old
  • Location: Urban areas often cost 20-50% more than rural areas
  • Risk factors: High-risk professions, health conditions, or claims history increase costs
  • Coverage choices: Deductible and limit selections significantly affect premiums

Data Lag

Insurance data has inherent reporting delays:

  • Rate filings are typically 6-12 months behind current market conditions
  • Annual reports reflect the previous year’s data
  • Regulatory data may not capture recent market changes

Data Access & Licensing

JSON Data Endpoint

Our insurance metrics are available in machine-readable format:

Endpoint: /data/insurance-metrics.json

This data powers our interactive map and comparison tools.

License

PolicyPath data compilations are available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

You may:

  • Share and redistribute the data
  • Adapt and build upon the data
  • Use for commercial purposes

You must:

  • Provide attribution to PolicyPath
  • Indicate if changes were made
  • Not add restrictions that prevent others from using the data

Citation Format

When citing PolicyPath data:

PolicyPath. “Insurance Cost Metrics by State.” PolicyPath.com, December 2025, https://policypath.pages.dev/resources/methodology/


Questions About Our Data?

If you have questions about our methodology, find an error, or want to suggest a data source, please contact us.

We’re committed to accuracy and transparency. If you’re a researcher, journalist, or analyst using our data, we’re happy to provide additional context or clarification.


Frequently Asked Questions

Common questions about our data sources and methodology answered below.

Frequently Asked Questions

Where does PolicyPath's insurance data come from?
Our data comes from official regulatory and industry sources including the National Association of Insurance Commissioners (NAIC), Centers for Medicare & Medicaid Services (CMS), state insurance department filings, and industry organizations like the Insurance Information Institute. We don’t rely on surveys or self-reported data—our figures are based on actual filed premiums and regulatory reports.
How accurate is your insurance cost data?
Our state average data is highly accurate for what it represents—aggregate averages across all policyholders in each state. However, individual premiums vary significantly based on age, location, driving record, health status, and coverage choices. Use our data for comparison and general guidance, but always get personalized quotes for actual rates.
How often is your data updated?
We update most insurance metrics annually, typically in Q1 when new industry data is released. Health insurance data updates after Open Enrollment each year. Each page displaying data includes a ‘Last Updated’ notation. Insurance data inherently has 6-12 month reporting delays, so figures represent recent historical data rather than real-time market rates.
Why is my insurance quote different from your state average?
State averages include all age groups, risk profiles, and coverage levels combined. Your individual quote depends on personal factors like age (young drivers pay 2-3x more), location (urban vs. rural), credit score, claims history, and coverage choices. Think of our averages as benchmarks—if your quote is significantly above average, it may be worth shopping around.
Can I use PolicyPath data for research or my own project?
Yes. Our data compilations are available under the Creative Commons Attribution 4.0 (CC BY 4.0) license. You can share, adapt, and use the data commercially as long as you provide attribution to PolicyPath. Our insurance metrics are also available in JSON format at /data/insurance-metrics.json for programmatic access.
How do you calculate the 'vs. national average' percentages?
We calculate the difference between each state’s average and the national average as a percentage: ((State Average - National Average) / National Average) × 100%. A value of ‘+15%’ means that state’s average is 15% higher than national; ‘-20%’ means 20% lower. This helps you quickly see how your state compares to typical U.S. costs.
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This methodology page was last reviewed: December 2025

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