Sleep Number Closed Store
U.S. · 237 locations
Sleep Number Corporation (NASDAQ: SNBR) keeps shrinking its retail network: its own store sitemap listed 573 stores in May 2026 and 539 on October 5, 2026. This dataset holds 237 Sleep Number store locations that have left the network.
More about this list
203 were recovered by diffing 33 archived Wayback Machine snapshots of Sleep Number's store sitemap (2021-2025) against the live list: for 152 of them the last archived store page supplied the full address, GPS coordinates, store ID and Google CID, and the other 51 carry the state, city and street from the store's own URL, placed on the map from that address. The other 34 closed in 2026. They come from comparing the live store sitemap with our earlier copies of the store list, and each was added only after its own store page stopped answering (HTTP 404); each keeps the store's last published record, including store ID, address, phone, coordinates, Google rating and review count. Every row carries closedAfter, the last date the store was seen open, and the 2026 rows also carry closedBy, the first date it was seen gone. Each rebuild adds the stores that have closed since the last one, and no row is ever removed. Use it for retail-rationalization analysis, market-exit studies, and investor work on SNBR's store productivity.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | store id | url | google cid | rating value | review count | status | closed after | closed by | last archive snapshot | data source | likely relocation or rename | nearest open store miles | geo precision | county | county fips | county note | address quality | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sleep Number — Anchorage, AK | 320 W 100th Ave | Anchorage | AK | https://www.sleepnumber.com/stores/ak/anchorage/anchorage-320-w-100th-ave | closed | 2022-12-02 | wayback_no_snapshot | true | 0.29 | address | Anchorage Municipality | 02020 | complete | US | 61.130227 | -149.876870 | |||||||||
| Sleep Number — Newark, DE | 433 Christiana Mall Rd | Newark | DE | 19702 | 10045 | https://www.sleepnumber.com/stores/de/newark/433-christiana-mall-rd | 8850092892357986940 | closed | 2022-12-02 | 2023-01-29 | wayback_machine | true | 0.23 | source | New Castle County | 10003 | complete | US | 39.6779569 | -75.6515835 | |||||
| Sleep Number — Denham Springs, LA | 27800 Juban Rd | Denham Springs | LA | 70726 | https://www.sleepnumber.com/stores/la/denham-springs/27800-juban-rd | closed | 2022-12-02 | wayback_no_snapshot | false | 11.51 | address | Livingston Parish | 22063 | complete | US | 30.469660 | -90.917996 | ||||||||
| Sleep Number — Burlington NC-Alamance Crossing | 1595 Glidewell Drive Suite 101A | Burlington | NC | 27215 | (336) 343-6060 | 11095 | https://www.sleepnumber.com/stores/nc/burlington/1595-glidewell-dr | 556004660959675168 | 4.91 | 472 | closed | 2026-06-27 | 2026-10-05 | 2026-05-19 | sleepnumber.com sitemap diff | false | 20.82 | source | Alamance County | 37001 | ZIP 27215 spans 2 counties; assigned to the county holding 88% of its land area | complete | US | 36.06796128 | -79.51431528 |
| Sleep Number — Altoona PA | 218 Park Hills Plaza | Altoona | PA | 16602 | (814) 924-4795 | 11081 | https://www.sleepnumber.com/stores/pa/altoona/218-park-hills-plaza | 5041274994434675368 | 4.96 | 383 | closed | 2026-06-27 | 2026-10-05 | 2026-05-19 | sleepnumber.com sitemap diff | false | 35.27 | source | Blair County | 42013 | complete | US | 40.46928001 | -78.40637905 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| store | Sleep Number internal store ID (where recoverable) | 74% |
| name | Store display name | 100% |
| address | Street address | 100% |
| city | City name | 100% |
| state | Two-letter state code | 100% |
| zip | 5-digit ZIP code (where recoverable) | 78% |
| country | Country | 100% |
| phone | Last published phone (stores closed in 2026) | 14% |
| latitude | GPS latitude, from the store's own page or placed from its address | 100% |
| longitude | GPS longitude, from the store's own page or placed from its address | 100% |
| url | Original Sleep Number store URL | 100% |
| google | Google Customer ID (where recoverable) | 74% |
| rating | Last published Google rating (stores closed in 2026) | 14% |
| review | Last published Google review count (stores closed in 2026) | 14% |
| status | closed | 100% |
| closed | Last date the store was seen in the live store sitemap | 100% |
| closed | First date the store was seen gone, its page answering 404 (stores closed in 2026) | 14% |
| last | Date of the snapshot that supplied the row's data (a Wayback snapshot, or our own copy of the live list) | 79% |
| data | wayback machine, wayback no snapshot, or sleepnumber.com sitemap diff | 100% |
| likely_ | true when an open Sleep Number store is within 1 mile of this location: most likely the same store moved nearby or listed under a new web address, not a market exit. Filter to false to keep exits only. Blank when the location is placed only at a ZIP or city centre | 96% |
| nearest_ | Straight-line miles to the nearest open Sleep Number store, measured at each rebuild (blank when the location is placed only at a ZIP or city centre) | 96% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 100% |
| county | County the location is in | 100% |
| county_ | Five-digit federal code of that county | 100% |
| county_ | How the county was found, where it was not given by the source | 12% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset holds the stores that are no longer in the live list, Sleep Number Store Locations: each row is one location that has left the network, kept with the last date it was seen open.
October 5, 2026
Snapshot built
26 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 Sleep Number Closed Store Locations and give it this page: it can open https://locationlists.com/find?dataset=sleep-number-closed-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:
- Only California, the state with the most: https://locationlists.com/find?dataset=sleep-number-closed-stores&state=CA
- Within 25 miles of New York, NY, the busiest area: https://locationlists.com/find?dataset=sleep-number-closed-stores&near=New+York+NY&radius=25
- Within a 30-minute drive of New York, NY: https://locationlists.com/find?dataset=sleep-number-closed-stores&near=New+York+NY&drive=30
- Only rows where likely_relocation_or_rename is true: https://locationlists.com/find?dataset=sleep-number-closed-stores&where=likely_relocation_or_rename%3Aeq%3Atrue
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=sleep-number-closed-stores - In plain words: "Sleep Number Closed Store Locations in California": https://locationlists.com/find?q=Sleep+Number+Closed+Store+Locations+in+California
- In plain words: "Sleep Number Closed Store Locations within 25 miles of New York, NY": https://locationlists.com/find?q=Sleep+Number+Closed+Store+Locations+within+25+miles+of+New+York%2C+NY
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 Sleep Number Closed Store Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 237 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=sleep-number-closed-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 did you reconstruct these closed-store records?
Two ways. For 2021-2025 we pulled every archived snapshot of sleepnumber.com/sitemap.xml.gz from the Wayback Machine (33 snapshots), took the union of every store URL ever listed and subtracted the live list, then read each closed store's last archived page for its address, GPS coordinates, store ID and Google CID: 152 pages were archived, and the other 51 stores carry the state, city and street from their URL. Since 2026 each rebuild compares Sleep Number's live store sitemap with our own earlier copies of the store list. A store that drops out is added once its own page answers 404, with the record it last published.
How accurate are the closure dates?
closedAfter is the last date a store was seen in the live sitemap; the 2026 rows also carry closedBy, the first date it was seen gone, so the closure happened inside that window. The 34 stores that closed in 2026 carry windows of May 19 to June 27 (3 stores) and June 27 to October 5 (31 stores); each later closure is dated to the interval between two rebuilds. For the 2021-2025 rows the closure happened between closedAfter and the next archived snapshot, typically within one to three months.
Why would I want closed-store data?
Several uses: (1) retail-rationalization analysis — which markets did Sleep Number exit and why? (2) investor work — overlay closures on SNBR's productivity disclosures to identify low-performing markets, (3) competitive site-selection — closed Sleep Number locations are now available retail spaces in proven mattress-retail trade areas (great signal for competitors like Mattress Firm, Purple, or Saatva considering nearby moves), (4) academic research on retail-network optimization.
Do you maintain this dataset for other brands?
We build closed-store reconstructions on request for any retailer with archived sitemaps. We've done it for furniture, hardware, and other specialty retailers. Contact us for a custom build.