K. Hovnanian Homes Locations
316 US K. Hovnanian Homes locations, with address, phone, website and map coordinates.
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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| K. Hovnanian Homes | 429 Boxelder Dr | Stafford | VA | 22554-6845 | (703) 885-7305 | https://www.khov.com/find-new-homes/virginia/stafford/22554/k-hovnanian-homes/embrey-mill | 7dffbc0b-4ffc-4fe1-8c3c-9d66009e4d49 | K. Hovnanian Homes | Nkhovnanianhomes | home_developer | |services_and_business|real_estate_service|builder|home_developer| | real_estate_service | https://www.facebook.com/168247264062615 | open | 0.732 | meta | 168247264062615 | meta:168247264062615|Overture-signals:30a17dbc-621e-4e4f-b4e4-0810ddcfa528 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | plant | 0.87 | website: "mill" (plant); category: home_developer names a business, not premises; brand: K. Hovnanian Homes | 38.446951 | -77.43586 | ||
| K. Hovnanian Homes Aspire at East Lake | 2388 SE Union Park Dr | Port St. Lucie | FL | 34952 | (888) 425-1667 | https://www.khov.com/find-new-homes/florida/port-st-lucie/34952/k-hovnanian-homes/aspire-at-east-lake?ref=LocalListing | 04747803-99d2-426f-bbf3-50d63640d76a | K. Hovnanian Homes | Nkhovnanianhomes | home_developer | |services_and_business|real_estate_service|builder|home_developer| | real_estate_service | open | 0.92 | Microsoft | 562949965981441 | Microsoft:562949965981441|Overture-signals:8b4eb92d-f594-4cc4-a1ba-0a692aa17d08 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: home_developer names a business, not premises | 27.286995 | -80.285355 | ||||
| K. Hovnanian Homes | 431 Sunny River Ln | Richmond | TX | 77406-3593 | (832) 451-6799 | https://www.khov.com/find-new-homes/texas/richmond/77406/k-hovnanian-homes/river's-edge---estates | 41f0d5de-33c3-4600-9d26-1a942a0cb95d | K. Hovnanian Homes | Nkhovnanianhomes | real_estate_agent | |services_and_business|real_estate_service|real_estate_agent| | real_estate_service | https://www.facebook.com/407077566784331 | open | 0.92 | meta | 407077566784331 | meta:407077566784331|Overture-signals:ba8856d6-9ae6-484f-9e21-1270ffaf305f | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: real_estate_agent names a business, not premises | 29.600702 | -95.744415 |
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?
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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=k-hovnanian-homes-locations
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For developers
Dataset slug k-hovnanian-homes-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=k-hovnanian-homes-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).