How to Find ZIP Codes with the Highest 65+ Population Concentration

Beyond Florida and Arizona

Ask any marketer where seniors live, and they will name The Villages, Scottsdale, and Boca Raton. Those are obvious answers, and obvious answers in advertising mean saturated markets, high CPMs, and razor-thin margins. Every Medicare Advantage plan, senior living community, and home health agency is already bidding aggressively in those ZIP codes.

The real opportunity in senior services marketing is finding ZIP codes with high 65+ concentrations that your competitors have not identified. These hidden markets exist in every state, and the businesses that find them first gain a massive cost advantage.

What "High Concentration" Actually Means

Before you start pulling data, you need to understand the benchmarks. Nationally, approximately 17% of the US population is 65 or older according to Census estimates. That is your baseline.

Here is how to think about concentration tiers:

• Average (14-19%): Roughly in line with the national distribution. These ZIP codes have senior populations, but seniors are not a dominant demographic. Advertising here means competing for attention among a general audience.
• High concentration (20-29%): One in four to one in three residents is 65+. These ZIP codes have meaningfully above-average senior density. Advertising efficiency improves because a higher percentage of impressions reach your target audience.
• Very high concentration (30%+): Nearly a third or more of the population is 65+. These are retirement communities, age-restricted developments, and areas where the senior population is a defining characteristic of the community. Advertising here delivers the best impression-to-lead ratios.

For most senior services advertisers, the sweet spot is targeting ZIP codes at 22%+ concentration. This is high enough to meaningfully outperform the national average while keeping your addressable market large enough to scale.

Why the Income Filter Matters

Senior population concentration alone is not enough. A ZIP code where 35% of residents are over 65 but the median household income is $28,000 is a very different market than one where 25% are over 65 with a median income of $72,000.

The income filter matters for different reasons depending on your service:

• Medicare Advantage plans: While Medicare is universal for 65+, Medicare Advantage plans need seniors who are engaged enough to actively choose a plan. Higher-income ZIP codes correlate with higher health literacy and more active plan shopping.
• Senior living communities: Assisted living averages $4,500-$5,000/month. Memory care runs $6,000-$8,000/month. You need ZIP codes where seniors (or their adult children) can afford these costs. Target ZIP codes where the 65+ median household income is at least $45,000, or where median home values are $300,000+ (since home equity is the most common funding source for senior living).
• Home health and home modification services: Aging-in-place services need homeowners with both the income and the property to invest in. Target homeownership rates of 70%+ combined with your age concentration filter.
• Financial services (annuities, wealth management): These require the highest income thresholds. Look for 65+ concentration above 20% with median household incomes above $75,000.

Always layer income on top of age concentration. A list of ZIP codes that is filtered for both produces dramatically better advertising results than one filtered for age alone.

The Hidden Senior Markets

The most valuable insight in senior demographic data is that high 65+ concentrations appear in places most marketers never consider. Here are the patterns to look for.

College Towns

This surprises people, but college towns consistently show elevated 65+ populations. University communities attract retirees who want access to cultural events, continuing education, medical centers affiliated with university hospitals, and walkable downtown areas. Towns like Charlottesville (VA), Ithaca (NY), Chapel Hill (NC), and Ann Arbor (MI) all have ZIP codes with senior concentrations well above their state averages. These markets are underserved because advertisers do not associate them with seniors.

Lake and Mountain Communities

Waterfront and mountain communities across the Midwest, Southeast, and inland West attract retirees at disproportionate rates. Lake of the Ozarks (MO), Table Rock Lake (AR/MO), Lake Keowee (SC), and communities throughout the Blue Ridge Mountains have ZIP codes where 25-35% of the population is 65+. These areas often combine high senior concentration with above-average income (retirees who can afford lakefront or mountain property).

Aging Suburban Rings

The first-ring suburbs built in the 1960s and 1970s are aging in place. The couples who bought homes in these neighborhoods 40-50 years ago are now 70-85 years old, and many have stayed. These ZIP codes appear in the inner suburban rings of nearly every major metro: the Levittown-era communities outside Philadelphia, the ranch-house suburbs of Chicago's collar counties, the mid-century neighborhoods ringing Dallas, Denver, and Minneapolis.

These areas are gold for home health, home modification, and aging-in-place services because they combine high senior concentration with high homeownership and properties that need accessibility upgrades.

Small-Town Rural Corridors

Rural areas across the Great Plains, Appalachia, and the rural South have some of the highest 65+ percentages in the country — often 25-30%. Young people left for cities; older residents stayed. The income levels are lower here, so this pattern works best for Medicare-related services (where income is less of a barrier) rather than luxury senior living.

Building Your Target List

Here is a practical process for identifying your best senior-market ZIP codes.

Step 1: Start with age concentration. Pull the percentage of population aged 65+ for every ZIP code in your target geography. If you serve a specific metro, pull all ZIP codes within 60 miles. If you are national, pull all 33,000+ US ZIP codes.

Step 2: Set your concentration threshold. For most senior services, start at 22% as your minimum. This gives you a focused list while keeping the addressable market large enough to run campaigns.

Step 3: Layer your income filter. Apply the income threshold appropriate for your service type (see the section above). This step typically removes 30-40% of the ZIP codes that passed the age filter.

Step 4: Check population minimums. A ZIP code where 40% of the population is 65+ but the total population is 800 people will not generate meaningful advertising volume. Set a minimum total population threshold — 3,000 for local campaigns, 5,000 for digital campaigns where you need impression volume.

Step 5: Score by opportunity density. Multiply the 65+ percentage by the total 65+ population count for each ZIP code. This gives you a composite score that balances concentration (efficiency) with volume (scale). A ZIP code with 25% concentration and 4,000 seniors is a better target than one with 35% concentration and 600 seniors.

Step 6: Research competitive saturation. For your top-scoring ZIP codes, run a quick search for competitors actively advertising there. ZIP codes that score well on demographics but have fewer competitors represent your highest-opportunity targets.

Turning Data into Campaigns

Once you have your ranked ZIP code list, the application depends on your advertising platform:

• Google Ads: Add your ZIP codes as location targets. Create ad groups with senior-specific messaging for each market cluster.
• Meta/Instagram Ads: Use ZIP codes as location targeting layered with the 65+ age demographic selection. This double-filters for both geographic concentration and individual age.
• Direct mail: Your ZIP code list is already a mailing list geography. Combine it with age-appended consumer data for household-level targeting.
• Programmatic display: Upload your ZIP codes as geographic targeting segments in your DSP.

The principle across all channels is the same: demographic data at the ZIP level tells you where to concentrate your budget, and platform-level targeting handles the individual-level precision. Start with the right geography, and every other optimization works better.