Sunglass Hut
U.S. · 1,746 locations
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.
More about this list
This dataset captures 1,627 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.
The file has all 1,746 locations across 50 states in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | url | geo precision | county | county fips | county note | address quality | zip4 | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sunglass Hut | 320 W 5th Ave | Anchorage | AK | 99501 | (907) 272-3550 | https://stores.sunglasshut.com/us/ak/anchorage/320-w-5th-ave | source | Anchorage Municipality | 02020 | complete | 2353 | US | 61.217509 | -149.887834 | |
| Sunglass Outfitters By Sunglass Hut | 152 Northpoint Pkwy | Acworth | GA | 30102 | (470) 315-7552 | https://stores.sunglasshut.com/us/ga/acworth/152-northpoint-pkwy | source | Cherokee County | 13057 | ZIP 30102 spans 3 counties; assigned to the county holding 50% of its land area | complete | 2082 | US | 34.083352 | -84.654528 |
| Sunglass Hut at Macy's | 385 Southbridge St | Auburn | MA | 01501 | (508) 832-2687 | https://stores.sunglasshut.com/us/ma/auburn/385-southbridge-st | source | Worcester County | 25027 | complete | US | 42.203573 | -71.837094 | ||
| Sunglass Outfitters By Sunglass Hut | 2 Commerce Dr | Hooksett | NH | 03106 | (603) 541-5262 | https://stores.sunglasshut.com/us/nh/hooksett/2-commerce-dr | source | Merrimack County | 33013 | complete | 2528 | US | 43.081242 | -71.446616 | |
| Sunglass Hut | 12 Midway Rd. | Cranston | RI | 02920 | (401) 288-1603 | https://stores.sunglasshut.com/us/ri/cranston/12-midway-rd | source | Providence County | 44007 | complete | US | 41.764050 | -71.458155 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| address | Street address | 100% |
| city | City name | 100% |
| state | Two-letter state code | 100% |
| zip | 5-digit ZIP code | 100% |
| country | Country code (US) | 100% |
| phone | Store phone number | 98% |
| latitude | GPS latitude coordinate | 77% |
| longitude | GPS longitude coordinate | 77% |
| url | Url | 100% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 77% |
| county | County the location is in | 77% |
| county_ | Five-digit federal code of that county | 77% |
| county_ | How the county was found, where it was not given by the source | 13% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
| zip4 | Zip4 | 28% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from Sunglass Hut's own public store locator, the system behind the “find a store” page on their website.
September 20, 2026
File built
16 fields
Columns in the file
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Using ChatGPT, Claude or an API?
No setup needed. Ask ChatGPT or Claude your question about the Sunglass Hut Locations and give it this page: it can open https://locationlists.com/find?dataset=sunglass-hut-stores with the filters you need and show you the count and price.
Using ChatGPT or Claude? Tell it to answer from locationlists.com/find — no account, no connector.
How assistants ask
No connector needed. Any AI assistant can answer from this site with a web link, no connector, no account: open https://locationlists.com/find with the question as query parameters.
If a question needs filtering, distance, drive time, combining lists or a price, open a /find link: either put the question itself in q=, or build the structured link. The answer does not need an API, a connector or an account.
Simplest, the question itself: https://locationlists.com/find?q=<the question in plain words>
Or set the parts yourself: https://locationlists.com/find?dataset=<slug>&state=<ST>&city=<city>&county=<county>&zip=<zip>&near=<place or zip>&radius=<miles>&drive=<minutes>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Use radius for straight-line miles or drive for minutes of driving (5 to 60), not both; near can name several places separated by | to reach from any of them. To ask about several lists at once, use datasets with two or more names, or category with a kind of business. To compare two lists, add relate=nearest and the other list with b. in front of its parameters. To count by area, use areas=county (or zip, state, metro). To keep only places whose county, ZIP code, metro area or state meets a Census figure, add area_where (for example county:population>1000000); with areas, per=100000 gives counts per 100,000 residents.
Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=sunglass-hut-stores
Optional: connect for repeat use or wallet payments:
Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Sunglass Hut Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 1,746 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=sunglass-hut-stores. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 10 rows and buy the whole file itself. How agent purchasing works
?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 1,746 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 1,746 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 1,746 locations are purpose-built for premium eyewear in high-traffic retail corridors, whereas Target (~2,034 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.