Bankers Life Locations
415 US Bankers Life locations, with address, phone, website and map coordinates.
Buy the whole list — 415 rows · $2.47
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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bankers Life | 1410 Rolkin Ct, Unit 202 | Charlottesville | VA | 22911 | (434) 328-7620 | https://branches.bankerslife.com/va/charlottesville/1410-rolkin-ct | 51141689-092e-481a-9fb2-c5ad3d5c813d | Bankers Life | Nbankerslife | life_insurance | |services_and_business|financial_service|insurance_agency|life_insurance| | financial_service | open | 0.92 | Microsoft | 562949966962659 | Microsoft:562949966962659|Overture-signals:d2ac9b8b-adab-4bf6-9399-765f7ca556cd | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | branch | 0.87 | website: "branches" (branch); category: life_insurance names a business, not premises; brand: Bankers Life | 38.030252 | -78.441868 | |||
| Tyler Taylor, Bankers Life Agent | 10800 Midlothian Turnpike, Ste 134 & 140 | Richmond | VA | 23235 | (804) 897-3256 | https://agents.bankerslife.com/va/richmond/10800-midlothian-turnpike/tyler-taylor | 3a852530-ff4f-4f25-b559-9cce8d88bdff | Bankers Life | Nbankerslife | life_insurance | |services_and_business|financial_service|insurance_agency|life_insurance| | financial_service | open | 0.92 | Microsoft | 562949967065648 | Microsoft:562949967065648|Overture-signals:eb9f466d-4dba-411a-a346-c10dd70de49a | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | unknown | name: no premises word; website: none in its path; category: life_insurance names a business, not premises | 37.507757 | -77.59734 | ||||
| Bankers Conseco Life Insurance Company | 271 North Ave | New Rochelle | NY | 10801-5104 | (929) 241-3003 | https://branches.bankerslife.com/ny/new-rochelle/271-north-ave | 8615dd48-f4c7-4fbc-a55a-4bc55d31c2e0 | Bankers Life | Nbankerslife | insurance_agency | |services_and_business|financial_service|insurance_agency| | financial_service | https://www.facebook.com/809843095878576 | open | 0.92 | meta | 809843095878576 | meta:809843095878576|Overture-signals:b00066c4-7543-4aa0-934b-2f013ee6e645 | 2026-08-10 | Overture Maps Foundation, CDLA-Permissive-2.0 | branch | 0.87 | website: "branches" (branch); category: insurance_agency names a business, not premises; brand: Bankers Life | 40.911856 | -73.782177 |
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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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=bankers-life-locations
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Every answer shows its exact price before you pay, by card, no account; the whole list is $2.47. Counts, previews and comparisons with other lists are free.
For developers
Dataset slug bankers-life-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=bankers-life-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).