USA Optical & Vision Consumer Data — Market-Scale Consumer Coverage (121M+ Records)
Price range: $7,000.00 through $45,000.00
GDPR / Legal compliance info
Extra free email validation is included with purchased data.
Market-scale U.S. optical and vision consumer dataset with 121M+ records. Identity-level coverage for market sizing, geographic analysis, and audience definition.
Description
Published February, 2026
Nationwide coverage of U.S. optical & vision consumers with verified identity and location. Slices available by state and contact type (phone/email) for strategic planning, market sizing, and analysis
💡 Pricing options
| Slice | Coverage | Records | Price (USD) |
|---|---|---|---|
| Full National File | All states | 121M+ | $45,000 |
| Tier 1 States | CA / FL / TX | ~35M | $15,000 |
| Tier 1–2 States | CA, FL, TX, NY, IL, OH, PA, NJ | ~60M | $25,000 |
| Phone + Email Subset | Nationwide | ~28M | $20,000 |
| Tier 1 States + Phone + Email | CA / FL / TX | ~8–10M | $10,000 |
| Single-State License | Any state | 0.1M–16M | $5,000–$12,000 |
Notes:
Prices assume single, one-time delivery
All data as-is, no refreshes
No personal affluence/income claims — only city/state + contact availability
Buyers still get strategic coverage: Tier 1 states dominate U.S. optical market volume
This dataset delivers 121M+ U.S. consumer records, representing an estimated 38–45 million unique individuals and households that have participated in the optical and vision-care ecosystem nationwide.
It provides market-scale identity and geographic coverage of U.S. vision-care consumers — enabling market sizing, geographic analysis, and audience definition across the United States.
Vision care is a persistent, medical-driven category: once consumers require prescription vision correction, they typically remain active through recurring lens replacement, frame upgrades, and insurance-based renewals over many years. As a result, this file reflects a long-run consumer universe, not a single transactional snapshot.
Dataset at a glance
121M+ total consumer records
~38–45M estimated unique individuals / households
Nationwide U.S. coverage across all states and territories
Strong concentration in major population and spending centers
Predominantly suburban, insured, middle-to-upper-income households
Phone and/or email available depending on record
What this dataset represents
This is a population-defining consumer universe for the U.S. optical and vision market. It answers the foundational strategic question:
Who and where is the U.S. vision-care consumer market at scale?
Rather than offering dense behavioral attributes, the dataset focuses on identity, location, and reach, making it well suited for macro-level analysis and planning.
Collection Period: 2006-2022 (RX renewal cycles create 2-3 year “reactivation windows”)
Coverage: 91.9% US household presence
Format: CSV (RFC 4180 standard)
Data Status: Raw/As-Is (phones intact, not DNC-scrubbed)
Duplicate Status: No duplicates at compilation; estimated 2.5-3x household-level multiplicity due to address changes and multi-year collection spans
- Single-vision wearers: 24-month replacement cycle
- Progressive/bifocal wearers: 18-30 month upgrade cycle
- Contact lens users: 12-month subscription renewal
- Medicare entrants (65+): 12-month vision supplement enrollment windows
| Contact Type | Record Count | Percentage | Marketing Application |
|---|---|---|---|
| Phone + Email | 33,613,647 | 27.6% | Omnichannel RX renewal campaigns |
| Phone Only | 70,217,238 | 57.7% | Voice/SMS for appointment scheduling |
| Email Only | 17,937,768 | 14.7% | Digital-native segment ( Millennials/Gen X) |
Phone Connectivity: Variable by vintage (2006-2012: 60-70% active; 2018+: 80-85% active)
Address Currency: NCOA not processed since collection; requires validation for postal use
| State | Record Count | Market Share | Strategic Value |
|---|---|---|---|
| CA | 16,098,272 | 13.2% | Tech wealth + high optical retail density |
| FL | 10,063,878 | 8.3% | Medicare Advantage vision boom (retiree concentration) |
| TX | 9,114,596 | 7.5% | Suburban growth markets + oil wealth |
| NY | 6,007,089 | 4.9% | NYC metro affluence + union vision benefits |
| IL | 5,976,781 | 4.9% | Chicago collar counties insurance corridor |
| OH | 5,067,918 | 4.2% | Manufacturing legacy + retiree base |
| PA | 4,949,230 | 4.1% | Philadelphia Main Line + aging industrial cities |
| NJ | 4,243,681 | 3.5% | NYC commuter belt dual-income professionals |
| MI | 3,970,432 | 3.3% | Auto industry union vision plans |
| GA | 3,947,666 | 3.2% | Atlanta banking/tech corridor growth |
| VA | 3,557,452 | 2.9% | DC defense contractor belt |
| NC | 3,505,156 | 2.9% | Charlotte banking + Research Triangle |
| MA | 3,334,477 | 2.7% | Boston healthcare/education elite |
| AZ | 2,703,276 | 2.2% | Sun City retiree concentration (presbyopia demographic) |
| WA | 2,511,984 | 2.1% | Seattle tech corridor |
| CO | 2,432,995 | 2.0% | Denver professional class |
| MD | 2,367,788 | 1.9% | Baltimore-DC suburban affluence |
| TN | 2,280,641 | 1.9% | Nashville healthcare boom |
| MN | 2,215,454 | 1.8% | Minneapolis corporate headquarters |
| IN | 2,144,285 | 1.8% | Indianapolis medical triangle |
| State | Records | State | Records | State | Records |
|---|---|---|---|---|---|
| WI | 1,895,053 | MO | 1,856,717 | NV | 1,327,212 |
| CT | 1,879,401 | AL | 1,289,196 | PR | 1,274,782 |
| SC | 1,877,575 | KY | 1,160,350 | LA | 1,069,906 |
| OR | 1,063,399 | IA | 1,005,454 | UT | 846,860 |
| KS | 825,724 | OK | 748,852 | HI | 730,559 |
| NH | 700,615 | NM | 550,954 | NE | 540,800 |
| AR | 523,216 | MS | 507,411 | WV | 456,210 |
| RI | 455,928 | DE | 411,737 | ME | 385,720 |
| ID | 374,128 | AK | 287,488 | VT | 255,615 |
| MT | 250,237 | DC | 226,094 | SD | 152,050 |
| ND | 135,648 | WY | 115,507 | AE | 37,583 |
| VI | 21,934 | AP | 21,277 | GU | 12,452 |
| AS | 1,041 | MP | 917 |
| Tier | States | Records | % | Market Character |
|---|---|---|---|---|
| Tier 1 | CA, FL, TX | 35.3M | 29.0% | Suburban sprawl + retirement hubs (FL) + oil/tech wealth (TX) |
| Tier 2 | NY, IL, OH, PA, NJ | 26.2M | 21.5% | Rust Belt insurance corridors + NYC metro elite |
| Tier 3 | MI, GA, VA, NC, MA | 17.3M | 14.2% | Southeast growth markets (Atlanta, Charlotte) + DC contractors |
| Tier 4 | AZ, WA, CO, MD, TN | 13.1M | 10.7% | Tech migration states (Seattle, Denver) + Nashville boom |
| Remaining | 36 states + DC/PR | 29.9M | 24.6% | Distributed across Heartland/Mountain West |
| Category | SKU Type | Est. % of Records | Notes |
|---|---|---|---|
| Prescription Optical | Single-vision, progressives, bifocals | 72% | Medical necessity; insurance claims; average $400-600 transaction; 24-36 month renewal cycle |
| Sunglasses (Plano) | Ray-Ban, Oakley, luxury licensed | 22% | Fashion/accessory purchase; $150-400; often second transaction |
| Contact Lenses | Acuvue, Alcon (via 1-800) | 4% | Subscription/recurring; lower margin; 12-month renewal |
| Smartglasses | Ray-Ban Meta, Nuance Audio | 1.5% | Tech early adopters; 2M+ units sold nationally |
| Apparel/Other | Supreme, accessories | 0.5% | Post-2024 acquisition noise |
| Brand Tier | Examples | Share of Volume | Avg. Age | Customer Profile |
|---|---|---|---|---|
| House Core | Ray-Ban, Oakley | 35% | 28-45 | Volume drivers; tech/fashion crossover; high repeat rate |
| Licensed Luxury | Chanel, Prada, Versace, Bulgari | 8% | 35-60 | High margin; gift purchases; female skew; $800+ frame buyers |
| Medical/Lenses | Varilux, Crizal, Transitions | 40% | 45+ | Invisible but expensive; insurance + out-of-pocket; repeat every 2 years |
| Retail Channel | LensCrafters house brand | 12% | 40-65 | Insurance-driven; price-sensitive; mall locations |
| Sports/Specialty | Oakley Performance, Costa | 5% | 25-50 | Golf, fishing, military; high loyalty; safety/RX sun needs |
| Segment | Income | Records | % | Profile |
|---|---|---|---|---|
| Ultra-High | $200K+ | ~8.5M | 7% | Chanel/Prada/Versace buyers; $800+ frames; concierge optometry; concentrated in CA/NY/FL |
| Affluent | $100-200K | ~30M | 25% | Ray-Ban Meta, Oakley, Varilux progressives; suburban LensCrafters; dual-income households |
| Upper-Mid | $60-100K | ~48M | 39% | Insurance + out-of-pocket co-pays; Target Optical; Crizal coatings; HSA holders |
| Mass-Market | <$60K | ~35M | 29% | Medicaid/Medicare dependent; basic single-vision; promotion-driven |
| Military/Gov | Any | ~2.5M | 2% | AE/AP codes; Tricare; safety glasses (Oakley Standard Issue) |
| Metric | Estimate | Logic |
|---|---|---|
| Raw Records | 121.8M | Total file count |
| Unique Households | 38-45M | Accounting for 2.5-3x multiplicity (moves, name changes, RX renewals every 2-3 years) |
| Active Vision Care Market | ~72-80% | Estimated current active need based on 24-36 month renewal cycles |
| US Adult Vision Correction Coverage | ~20-23% | Of 190M US adults needing vision correction |
- RX Reactivation Campaigns: Target records by vintage (2019-2021 progressives = immediate renewal candidates)
- Medicare Advantage Vision Marketing: FL/AZ concentration aligns with Annual Election Period targeting
- Luxury Upselling: Chanel/Prada segment for high-ticket frame campaigns
- Smartglass Early Adoption: Ray-Ban Meta targeting via tech/fashion crossover segment
- Contact Lens Subscription Conversion: 4% CL wearers for monthly subscription models
- Geographic Expansion: LensCrafters/Sunglass Hut footprint analysis for retail planning
- Telephone Consumer Protection Act (TCPA) regulations (phones are intact/not DNC-scrubbed)
- CAN-SPAM Act requirements for email transmission
- State-level data privacy laws (CCPA, CPA, etc.)
- National Change of Address verification required for postal campaigns
Encoding: UTF-8
Uncompressed Size: ~15.5 GB
Fields: First_Name, Last_Name, Street_Address, City, State, ZIP, Phone, Email
Delivery: Secure cloud download (7-day access window)
Example data:
First_name Last_name Street_address City State Phone Email Jessica Palfreyman 4590 S RED SAGE CT SALT LAKE CITY UT 8014034792 [email protected] Kari Roberson PI WOODLAWN TX [email protected] Brian Syfert 108 N JOHNSON ST LANDRUM SC 8644577467 Rebekah Kueper 19414 ROSEBUD RIDGE WAY SPRING TX 2254567766 [email protected] Darius Agard 12156 CLOUDY PEAK LN NW SILVERDALE WA 2058214146 [email protected] Kyle Scott 708 CHICORY RD BURLINGTON WI 2625142688 Sita Patel 1402 CLAREMONT WAY TUSTIN CA 7147267225 [email protected] Alvin Mcdonald 2442 BEDFORD AVE BROOKLYN NY 7182840699 Sara Baker 1376 WORTHINGTON DR MOUNT JOY PA 8147962019 Karen Hardt 17785 CRESTWOOD CT GALESVILLE WI 6085824075 Kelli Osborne 5481 HIBISCUS RD JUPITER FL 5617466061 Leslie Hollis 604 SHOREWOOD DR CAPE CANAVERAL FL [email protected] Gary Hicks 634 N STATE ST JACKSON MI 5177829265 Cindy Yankovich 24318 PALM ST PAW PAW MI 2697608172 [email protected] Alison Ettel 323 QUEEN ANNE AVE N SEATTLE WA 2156031750 Miniya Hughes 5 ASPEN CT MONMOUTH JCT NJ 8622760349 [email protected] Katrina Tapia 1011 AVENUE T HONDO TX 8304269356 [email protected] Freddie Torres PO BOX 340253 SAN ANTONIO TX 4072730454 Dee-Dee Stewart 3146 SPRING LAKE RD LAKE WALES FL 8638992009 Christina Guigea 9013 N LAMON CHICAGO IL 8474146585 Georgia Nelson 2420 SLAYDEN MARION RD CUMBERLAND FURNACE TN 6157636255 [email protected] Gary Guthrie 24100 GREENTREE LN EUSTIS FL 3524068250 Roger Munoz 85 WESTERVELT AVE NORTH PLAINFIELD NJ 9086440699 [email protected] Mikael Malkasian 7302 STATECREST DR ANNANDALE VA 7035737994 Glenda Allnutt 1058 NE HIGHWAY BB GALT MO 6606736646 Felipe Devivero 5880 COLLINS AVE MIAMI BEACH FL [email protected] Marvin Zavodny 10414 LYNDON MEADOWS DR HOUSTON TX 7136920437 Richard Pruitt 1023 WHIPPINGHAM PKWY CARROLLTON VA 7578705450 Linda Pickett 1125 50TH STREET ENSLEY BIRMINGHAM AL 2057801727
Additional information
| Pack / Slice (see table below) | Full National File, Tier 1 States, Tier 1–2 States, Phone + Email Subset, Tier 1 States + Phone + Email, Single-State License |
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