How to Compare Insurance Costs by ZIP Code
Using FIO data on PlainInsure to evaluate and compare homeowners insurance market conditions across different ZIP codes, whether you are moving, renewing, or just benchmarking.
The key takeaway
ZIP-level premiums vary far more than state averages suggest. 33480 (Palm Beach) averages $40,719 a year, while 85141 (Picacho) averages just $565, a gap of $40,154. Comparing your own ZIP against this range, not just your state average, is the fastest way to tell if your premium is in line with your actual local market.
- $40,719
- 33480 average premium (most expensive)
- $565
- 85141 average premium (least expensive)
- $40,154
- gap between highest and lowest ZIPs shown
Source: U.S. Treasury FIO ZIP-level homeowners insurance data, most recent year available.
Cheapest vs. most expensive ZIP codes
Why ZIP Code Comparison Matters for Homeowners
If you are relocating, the insurance cost difference between two neighborhoods a few miles apart can be $1,000 or more per year. If you are renewing, comparing your ZIP's trends to nearby areas helps you understand whether a premium increase reflects a broad market shift or something specific to your insurer. And if you are simply benchmarking, knowing where your area stands relative to state and national averages helps you negotiate and shop more effectively.
The FIO data on PlainInsure covers 25,000+ ZIP codes with consistent metrics, making true apples-to-apples comparison possible. Commercial rate comparison tools show you individual quotes; PlainInsure shows you the market conditions underlying those quotes.
The Three Metrics That Matter Most
When comparing ZIP codes, three FIO metrics together tell the story of a local insurance market:
Average premium: What homeowners in that ZIP code actually pay. This is a weighted average across all policies. Look it up on our ZIP code pages. Compare it to the state average to gauge whether the area is above or below the norm.
Loss ratio: What fraction of premiums are paid out as claims. This is the key indicator of whether the market is sustainable. ZIP codes with loss ratios consistently above 80% are areas where insurers are struggling to remain profitable, and where premium increases are likely coming.
Nonrenewal rate: What percentage of policies are not being renewed by the insurer. This is the most actionable early warning metric. High nonrenewal rates mean fewer coverage options for homeowners, which reduces competition and can lead to further price increases.
How to Read Trend Data Across ZIP Codes
Single-year snapshots can be misleading because catastrophic events (a major hurricane or wildfire) spike metrics temporarily. The FIO data on PlainInsure spans 2018-2022, giving you five years of context.
What it tells you: Whether a ZIP code's insurance market is improving, stable, or deteriorating over a five-year period. A ZIP with premiums rising 30% over five years is in a fundamentally different situation than one with 5% growth. Check state-level data for the broader context.
What it does not tell you: What happened after 2022. Insurance markets can shift rapidly, a single catastrophic season can transform a stable market into a crisis. The FIO data provides the historical foundation; current conditions require checking with local agents or state insurance departments.
How to use it: When comparing two ZIP codes, compare not just the current levels but the direction of change. A ZIP with lower current premiums but a steeper growth trajectory may end up more expensive within a few years.
Comparing for a Potential Move
If you are considering relocating, insurance cost is an underappreciated factor in the total cost of housing. A $200,000 home in a low-insurance ZIP might actually cost less to own annually than a $180,000 home in a high-insurance ZIP once premiums, nonrenewal risk, and deductible differences are factored in.
Use PlainInsure to compare candidate ZIP codes on all three key metrics. Pay particular attention to the nonrenewal rate, moving to an area where insurers are withdrawing creates long-term financial risk that may not be apparent from current premium levels alone. Areas with low nonrenewal rates and stable loss ratios are more likely to offer sustainable insurance markets.
The Limitations of ZIP-Level Comparison
While ZIP-level data provides valuable market intelligence, it has inherent limitations. ZIP codes vary enormously in size, a rural ZIP might cover hundreds of square miles with highly varied terrain, while an urban ZIP might cover a few blocks. Within a single ZIP code, flood zones, elevation differences, and building age can create dramatic variation in individual premiums. The FIO average is just that, an average across all policies in the area.
Additionally, ZIP averages reflect the mix of policies currently in force, not the rate a new buyer would receive. Areas with high nonrenewal rates may show moderate average premiums because the remaining policies are those with favorable risk profiles, while new applicants face much higher quotes or coverage denials.
What This Means for You: A Practical Framework
Step 1, Look up your current and comparison ZIP codes. Note the average premium, loss ratio, and nonrenewal rate for each on PlainInsure.
Step 2, Compare to state averages. A premium that looks high in isolation may be normal for the state. Or a moderate premium may be well above state average, signaling elevated risk.
Step 3, Check the 5-year trend. Is the gap between ZIP codes widening or narrowing? Rising divergence suggests the expensive area is getting worse relative to alternatives.
Step 4, Factor insurance into your housing budget. Especially for relocation decisions, add the annual insurance cost difference to your mortgage comparison. A $150/month insurance premium difference is $1,800/year, equivalent to a significant difference in property tax or mortgage rate.
Detailed Comparison Methodology, Step-by-Step
Normalize policy assumptions before comparing
FIO ZIP averages are weighted by policy count, but they do not normalize for dwelling value, deductible structure, or coverage form (HO-3 vs HO-5 vs HO-8). Two ZIP codes can show the same average premium yet reflect very different underlying policies. Always treat ZIP averages as orientation, not as a quote substitute.
Layer hazard data on top of premium data
Pair the FIO premium picture with FEMA National Risk Index for the same county. A ZIP with rising premiums and rising NRI is in a structurally hardening market. A ZIP with rising premiums and stable NRI may be experiencing portfolio repricing rather than genuine risk increase, different remediation paths.
Watch the spread, not just the median
Premium dispersion within a ZIP, the spread between cheapest and most expensive observed policies, is itself diagnostic. A wide spread means underwriting outcomes vary substantially across carriers, which usually translates to large savings opportunities for homeowners willing to shop. A narrow spread means the market has converged on a single price view, and shopping yields little.
Use a 5-year window for trend signals
A single annual change can reflect catastrophe-year noise (Hurricane Ian's 2022 spike) or a regulatory delay (California's lagged Prop 103 filings). The five-year trend window in FIO 2018-2022 smooths these effects. Treat a sustained 25%+ change over five years as a structural signal, not a 5%+ one-year move.
Worked example: comparing two metro ZIPs
Consider a homeowner deciding between two Tampa-area ZIPs. ZIP 33602 (downtown, low elevation) shows an average premium of $4,200 with a 28% five-year change and a 1.8% nonrenewal rate. ZIP 33611 (south Tampa, slightly inland) shows $3,500 average with 22% five-year change and 0.9% nonrenewal. The dollar gap is $700 per year, the percentage gap is 17%. But the trend gap is more telling: the 6-percentage-point difference in five-year change implies the gap will widen another roughly $400 over the next five years if trends persist. Combined with the nonrenewal-rate doubling between the two ZIPs, the total cost-of-coverage gap is materially larger than the headline 17% suggests. A buyer should price the differential into the long-term ownership math, not just the year-one premium.
Quick comparison reference table
| Metric | What it tells you | Caution threshold | Comparable across ZIPs? |
|---|---|---|---|
| Average premium | Headline cost orientation | Above state median | Yes, but not normalized for dwelling value |
| Loss ratio | Carrier profitability signal | Above 80% | Yes, pure ratio |
| 5-yr premium change | Structural trend | Above 25% | Yes |
| Nonrenewal rate | Carrier appetite for the market | Above 2.5% | Yes |
| Claim frequency | How often losses occur | Above 0.06 | Yes, exposure-weighted |
What to do with this
A ZIP average is a starting point, not your quote; the three metrics that matter (premium, loss ratio, nonrenewal rate) are all one lookup away.
- Look up your exact ZIP and compare it against neighboring ZIPs. Search ZIP codes
- See how your ZIP ranks against the highest and lowest in the country. View rankings
- Compare your state average against every other state. Compare states
Frequently Asked Questions
Why do insurance costs differ between neighboring ZIP codes?
Insurance pricing is highly granular. Even adjacent ZIP codes can have different risk profiles based on proximity to coast or flood zones, historical claims patterns, building code enforcement, fire department response times, and the mix of property types. FIO data captures these differences at the ZIP level.
Is ZIP code average premium a good predictor of my actual cost?
It is a useful benchmark but not a precise predictor. Your actual premium depends on your property value, coverage amount, deductible, claims history, credit-based insurance score, and insurer. The ZIP average includes all policy types and coverage levels in the area.
How can I use PlainInsure data when shopping for insurance?
Look up your ZIP code to understand the baseline market conditions, average premium, loss ratio, and nonrenewal rate. If your area has high nonrenewal rates, start shopping early. If premiums are well above state average, consider higher deductibles or bundling discounts to offset the area premium.
What does claim frequency mean for my ZIP code?
Claim frequency is the number of claims per 100 policies in your ZIP code. A high claim frequency means homeowners in your area file claims more often than average, which can be driven by weather events, property age, crime rates, or other local factors. Insurers use this metric heavily in pricing.
Sources: U.S. Department of the Treasury, Federal Insurance Office, FIO Homeowners Insurance Reports.
Last updated: April 2026
Every figure on PlainInsure is rendered directly from U.S. Treasury Federal Insurance Office data, no number is typed in by an editor. This page draws directly on U.S. Treasury FIO data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.