Updated Weekly

Sunglass Hut
U.S. Location Dataset // 1,754

Sunglass Hut is EssilorLuxottica's flagship specialty retail channel — the consumer-facing tip of a vertically integrated empire that also manufactures Ray-Ban, Oakley, and Persol, giving the chain unmatched margin control in a category where most retailers depend on wholesale markup. This dataset captures 1,754 locations across the US and Canada, spanning Sunglass Hut's distinctive mix of standalone mall stores, airport concessions, outlet centers, and shop-in-shop kiosks inside Macy's and other department stores. That format diversity makes the data unusually valuable for site-selection analysts benchmarking high-traffic retail corridors, DTC eyewear brands like Warby Parker mapping competitive density before opening new showrooms, and commercial real estate teams at mall REITs tracking specialty-retail tenant concentration.

1,754Locations
49States
10Data Fields
CSVFormat

Who uses this data

Sales & Business Development

Territory planning, lead generation, and prospecting for teams selling products or services to stores

Market Research & Competitive Intelligence

Analyzing Sunglass Hut's geographic footprint, density, and overlap with competitors

Logistics & Supply Chain

Route optimization, delivery planning, and distribution network analysis across 1,754 locations

Real Estate & Site Selection

Co-tenancy analysis, trade area studies, and identifying expansion opportunities near existing stores

Data quality & methodology

This dataset is compiled directly from Sunglass Hut's official store locator system. We query the same data source that powers the “Find a store” page on their website, ensuring the data matches what the brand itself publishes.

Weekly

Refresh frequency

Deduplicated

By name + address + city

Validated

Format checks on all fields

Every record goes through automated quality checks including ZIP code format validation, coordinate bounds verification (US only), phone number standardization, and duplicate detection. Records that fail validation are flagged and excluded from the dataset.

{}Data Fields

nameaddresscitystatezipcountryphonelatitudelongitudeurl

Sample Data Preview

sunglasshut_dealers_us.csv — showing 5 of 1,754 rowsUTF-8
nameaddresscitystatezipcountryphoneurl
Sunglass Hut2240 Q St NEAlbuquerqueNM87110US5058306531https://stores.sunglasshut.com/us/nm/albuquerque/2240-q-st-ne
Sunglass Hut555 E DurantAspenCO81611US9709204619https://stores.sunglasshut.com/us/co/aspen/555-e-durant
Sunglass Hut4976 Premium Outlets WayChandlerAZ85226US4806391775https://stores.sunglasshut.com/us/az/chandler/4976-premium-outlets-way
Sunglass Hut Belconnen3 Benjamin Way, Westfield BelconnenBelconnenACT2617AU61262531746https://stores.sunglasshut.com/au/act/belconnen/3-benjamin-way-westfield-belconnen
Sunglass Hut1843 Village W PkwyKansas CityKS66111US9133342152https://stores.sunglasshut.com/us/ks/kansas-city/1843-village-w-pkwy
Showing 5 real rows from 1,754 total

Sunglass Hut Locations

1,754 locations · CSV · Updated weekly

?Frequently Asked Questions

How does Sunglass Hut's vertical integration under EssilorLuxottica affect what I can infer from this location data?

Because EssilorLuxottica manufactures the dominant brands (Ray-Ban, Oakley, Persol) and controls Sunglass Hut retail, each location represents both a retail point and a proprietary distribution node — unlike an independent optical shop carrying wholesale goods. This means overlaying Sunglass Hut locations against independent eyewear retailers reveals where Luxottica has locked up premium foot traffic. If you need that overlap analysis against independent optical shops or DTC competitors like Warby Parker, LocationLists can build a custom dataset pairing both networks.

I'm a real estate analyst at a mall REIT. Can I use this to benchmark specialty-retail tenant concentration across my portfolio?

Yes — Sunglass Hut is one of the highest-density specialty tenants in Class A and Class B malls nationwide, so cross-referencing these 1,754 locations against your property list gives you a quick read on Luxottica's appetite for your assets. Because the dataset includes full street addresses, you can match locations to specific shopping centers and compare tenant presence across your portfolio versus competitors. For deeper analysis, LocationLists can run a multi-brand overlay combining Sunglass Hut with other specialty tenants already in our catalog.

Does this dataset include both standalone stores and shop-in-shop or kiosk locations inside department stores?

The dataset captures all location types that Sunglass Hut publishes to its store locator, which includes standalone mall stores, outlet locations, airport concessions, and shop-in-shop kiosks inside partners like Macy's. While there's no explicit 'format type' field, the street address often reveals the host venue (e.g., a Macy's address or airport terminal), and the store URL path can help disambiguate. If you need a clean format-type classification appended, LocationLists can enrich the file as a custom project.

I'm launching a DTC sunglasses brand and want to find metro areas where Sunglass Hut is under-penetrated relative to population. How do I use this?

Load the 1,754 locations into any GIS or BI tool, calculate locations per capita by CBSA or ZIP, and rank metros by density. Markets where Sunglass Hut has low penetration relative to household income and population — particularly Sunbelt metros experiencing rapid growth — are your white-space targets. LocationLists also offers white-space mapping as a service if you want a turnkey deliverable with demographic overlays included.

How does the Sunglass Hut footprint compare to mass retailers like Target or CVS that also sell sunglasses?

Sunglass Hut's 1,754 locations are purpose-built for premium eyewear in high-traffic retail corridors, whereas Target (~1,950 stores in our catalog) and CVS (~9,900) sell sunglasses as an afterthought in general-merchandise or pharmacy aisles. The comparison is useful for brand strategists deciding where to place premium SKUs versus commodity price points — a Sunglass Hut presence signals a trade area that supports $150+ average selling prices. We can run a proximity overlap report between Sunglass Hut and any of these mass-retail datasets on request.

The sample data shows Canadian locations. What's the approximate US vs. Canada split?

The dataset includes both US and Canadian stores as published by Sunglass Hut's global store locator. The vast majority — roughly 1,500+ — are US locations, with the remainder concentrated in major Canadian metros like Calgary, Toronto, and Vancouver. The country field lets you filter instantly for US-only or Canada-only analysis depending on your geographic scope.

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