Private Equity Firm Locations
177 US private equity firm businesses, from national chains to single independent shops, 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Real Pro | 3309 NE 33rd St | Fort Lauderdale | FL | 33308 | (888) 245-9622 | https://www.realpro.com/ | c3ecb132-2061-4e93-8a40-b8eb8b153fce | private_equity_firm | |services_and_business|financial_service|private_equity_firm| | financial_service | open | 0.92 | Microsoft | 1125899909296068 | Microsoft:1125899909296068|Overture-signals:1f9397d5-aaa9-42e3-995b-25153d3c0f90 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: private_equity_firm names a business, not premises | 26.16938 | -80.101738 | ||||||
| FlagStar Residential Co. | 4400 E Broadway Blvd | Tucson | AZ | 85711 | (520) 244-1500 | http://www.flagstarresidential.com/ | 0e54cfe0-bcbc-43c1-af3e-af6e7e063d97 | private_equity_firm | |services_and_business|financial_service|private_equity_firm| | financial_service | open | 0.92 | Microsoft | 844424932722014 | Microsoft:844424932722014|Overture-signals:ed86fd76-afa1-46c8-836a-92fdc4c0e4c4 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: private_equity_firm names a business, not premises | 32.22098 | -110.897896 | ||||||
| Sentry Real Estate | 5027 Hickory Deer Lane | Richmond | TX | 77406 | (713) 364-4232 | https://www.sentry-realestate.com/ | 939421d8-d398-4baf-b21c-dd88ddf85214 | private_equity_firm | |services_and_business|financial_service|private_equity_firm| | financial_service | 0.85 | Microsoft | 844424934913584 | Microsoft:844424934913584 | 2024-10-03 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: private_equity_firm names a business, not premises | 29.636768 | -95.814758 |
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/.
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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.
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https://locationlists.com/find?dataset=private-equity-firm-locations
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For developers
Dataset slug private-equity-firm-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=private-equity-firm-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).