Bright Horizons Locations
261 US Bright Horizons 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bright Horizons at Kent Avenue | 175 Kent Ave | Brooklyn | NY | 11249-4893 | (718) 732-7237 | https://child-care-preschool.brighthorizons.com/ny/brooklyn/kentave | dacf3acb-86e4-4399-900e-6ddd0f325213 | Bright Horizons | Q4967421 | home_service | |services_and_business|home_service| | home_service | kentave@brighthorizons.com | https://www.facebook.com/1410971769114856 | 1.0 | meta | 1410971769114856 | meta:1410971769114856 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: home_service names a business, not premises | 40.71821 | -73.963844 | |||
| Bright Horizons | Church Professional Office Building, 98 N Broadway #1 | Baltimore | MD | 21231 | (410) 614-4111 | http://brighthorizons.com | e4b7064a-f408-43d9-b1af-9538279f0ef2 | Bright Horizons | Q4967421 | home_service | |services_and_business|home_service| | home_service | https://www.facebook.com/367961400704466 | open | 0.92 | meta | 367961400704466 | meta:367961400704466|Overture-signals:46004c2f-e6a0-412b-97ba-800e91301567 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: home_service names a business, not premises | 39.292412 | -76.594433 | |||
| Bright Horizons Montessori at Greenwood Plaza | 5889 South Greenwood Plaza Boulevard, Plaza West Suite 100 | Greenwood Village | CO | 80111 | (720) 441-0741 | https://child-care-preschool.brighthorizons.com/co/englewood/schools-greenwood?IMS_SOURCE_SPECIFY=google%7Corganic%7Cgmb%7Cweblink%7Ccenterwebsite | a497b14a-f6bb-4f98-a5db-8ecf915ebf3c | Bright Horizons | Q4967421 | day_care_preschool | |services_and_business|family_service|child_care_and_day_care|day_care_preschool| | family_service | greenwoodplaza@brighthorizons.com | https://www.facebook.com/184648311696336 | open | 0.99 | meta | 184648311696336 | meta:184648311696336|Overture-signals:740b9ad3-8a16-4590-8389-012fad4c565b | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: day_care_preschool names a business, not premises | 39.610516 | -104.900421 |
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.
Open one of these to see how many places match, a few preview rows and the price for just those rows:
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https://locationlists.com/find?dataset=bright-horizons-locations
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For developers
Dataset slug bright-horizons-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=bright-horizons-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).