Affordable Dentures & Implants Locations
271 US Affordable Dentures & Implants locations, with address, phone, website and map coordinates.
Buy the whole list — 271 rows · $1.72
Or ask for the part you need: an area, a distance, a condition. Counts and previews are free, and each answer shows its exact price.
Sample data
| name | address | city | state | zip | phone | website | overture id | brand | brand id | wikidata | category | category path | basic category | social | operating status | confidence | source dataset | source record id | source ids | source updated | data license | location type | location type confidence | location type basis | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Affordable Dentures & Implants - Henderson, NV | 510 Marks St | Henderson | NV | 89014-8603 | (702) 970-4229 | https://www.affordabledentures.com/locations/nv/henderson | d8455854-5975-41f0-b757-7a3db95d2332 | Affordable Dentures & Implants - Catoosa, OK | Naffordabledenturesimplantscatoosaok | dental_clinic | |health_care|outpatient_care_facility|dental_clinic| | dental_clinic | fda35359@affordabledentures.com | https://www.facebook.com/115848831575797 | open | 0.92 | meta | 115848831575797 | meta:115848831575797|Overture-signals:f61f1bdf-7366-4313-bb46-47008d6cddd6 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: dental_clinic names a business, not premises | 36.060095 | -115.036362 | ||
| Affordable Dentures and Implants | 6051 FM 3009 | Schertz | TX | 78154-3433 | (210) 664-0015 | https://www.affordabledentures.com/locations/tx/schertz | a45bfaf4-3b14-42ef-a8e9-029d55c9cc6d | Affordable Dentures & Implants - Catoosa, OK | Naffordabledenturesimplantscatoosaok | dental_clinic | |health_care|outpatient_care_facility|dental_clinic| | dental_clinic | fda15923@affordabledentures.com | https://www.facebook.com/449771568536509 | open | 0.92 | meta | 449771568536509 | meta:449771568536509|Overture-signals:513c674a-648f-4abe-8694-550bd8bca43d | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: dental_clinic names a business, not premises | 29.602959 | -98.280571 | ||
| Affordable Dentures & Implants | 10495 US 49 Ste B | Gulfport | MS | 39503 | (228) 828-4885 | https://www.affordabledentures.com/locations/ms/biloxi-gulfport | e3138cd6-f07c-47c2-9bd3-75cc542b2b03 | Affordable Dentures & Implants - Catoosa, OK | Naffordabledenturesimplantscatoosaok | prosthodontics | |health_care|outpatient_care_facility|dental_clinic|prosthodontics| | dental_clinic | fda16065@affordabledentures.com | https://www.facebook.com/555423290991839 | 0.738 | meta | 555423290991839 | meta:555423290991839 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: prosthodontics names a business, not premises | 30.440083 | -89.09864 |
What's in each row
| Field | What it is |
|---|---|
| overture_ | Map data id for the place, stable across monthly releases |
| name | Business name |
| brand | Brand or chain name, when the place belongs to one |
| brand_ | Our id for that brand (its Wikidata id where one exists) |
| wikidata | Wikidata id of the brand |
| category | Kind of place, from the map data |
| category_ | The category with every broader category above it |
| basic_ | A broader, simpler category |
| address | Street address |
| city | City |
| state | State (two-letter code) |
| zip | ZIP code |
| phone | Phone number |
| website | Website |
| Email address | |
| social | Social media page |
| latitude | Latitude |
| longitude | Longitude |
| operating_ | Whether the place is open, where the source says; closed places are left out of the list |
| confidence | How sure the map data is that the place exists (0 to 1) |
| source_ | Which source contributed the record |
| source_ | The record's id in that source |
| source_ | Every source record merged into this row |
| source_ | When the source last updated the record |
| data_ | The license the row is published under |
| location_ | Kind of premises: store, office, branch, warehouse and so on, read from the name, website and category |
| location_ | How sure the location type is (0 to 1) |
| location_ | What the location type was read from |
Source & license
Open map data from the Overture Maps Foundation, release of August 2026, refreshed monthly. Closed and low-confidence places are removed and duplicates within 50 meters merged. Contains data from Overture Maps Foundation (https://overturemaps.org), Places theme, licensed CDLA-Permissive-2.0 (https://cdla.dev/permissive-2-0/); some sources are Apache-2.0. See https://docs.overturemaps.org/attribution/.
Using ChatGPT, Claude or an API?
Ask this list a question with a link
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.
Open one of these to see how many places match, a few preview rows and the price for just those rows:
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=affordable-dentures-and-implants-locations
Ask in ChatGPT or Claude
Copy this and paste it in:
Every answer shows its exact price before you pay, by card, no account; the whole list is $1.72. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug affordable-dentures-and-implants-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=affordable-dentures-and-implants-locations. Works in every MCP tool and the x402 query API like any other dataset (count_locations, get_sample, query_locations, relate_locations, count_by_area, cotenancy).