Insurance Agency Industry Bundle
U.S. & Puerto Rico · 92,177 locations

92,177 US insurance agency offices in one CSV: 54,804 independent agencies and 37,373 captive agent offices of the four largest agent-sold carriers. By brand: Independent 54,804, State Farm 19,308, Farmers Insurance 9,244, Allstate 6,004 and American Family Insurance 2,817.

More about this list

The brand column splits the file back into its five parts, so a buyer can count captive against independent agencies in any county or ZIP. Independent rows carry rollupParent, naming the roll-up, broker group or franchise network for 4,123 offices (Confie, Goosehead, HUB International, Fiesta, Brightway, AssuredPartners, Leavitt, World Insurance Associates, NFP, USI, Brown & Brown, Acrisure and others), plus website, email, Facebook page and locationsWithSameName. Captive rows carry the agent's name and the carrier's own agent id. No street address and phone appears under two brands: every independent row at a captive office was taken out.

92,177Locations
50Data Fields
October 3, 2026File built

The file has all 92,177 locations in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.

Need just some of them? Ask in your own words.

∑What's in this bundle

One CSV. Every row tagged with a brand column, so the 5 networks stay separable.
Independent54,804 locations
State Farm19,308 locations
Farmers Insurance9,244 locations
Allstate6,004 locations
American Family Insurance2,817 locations
Total92,177 locations

$269 for the file, one purchase and one download. Buying the 5 datasets one at a time costs $295.

≡Sample Data Preview

insurance-agency-list.csvscroll →UTF-8
nameaddresscitystatezipphonewebsitebrandbrands at locationaddress2address qualityagency nameagent codeagent nameagent typeagent websiteallstate location idassociate idcarrier in namecountycounty fipscounty noteemailfacebookgeo precisionlanguageslicensed stateslocation typelocations with same nameoffice nameoffice numberoffices for agentoverture brandoverture categoryoverture confidenceoverture idoverture releaseoverture sourcesoverture updatedparent companyreview countrollup parentrollup typestar ratingstore typezip4latitudelongitudecountrysource
Alaska Commercial Insurance Brokers550 E Tudor RdAnchorageAK99503(907) 644-8700http://www.akcommercialinsurance.com/IndependentIndependentcompleteAnchorage Municipality02020ZIP 99503 spans 2 counties; assigned to the county holding 16% of its land areainfo@akcommercialinsurance.comhttps://www.facebook.com/650156951768304source1insurance_agency0.92a30b5dc7-fd0e-4267-8ddf-0290d758b3bd2026-08-19.1-v2meta2026-08-10Insurance agency737161.180565-149.87336US
Calidad Insurance6158 Highway 92 Ste 103AcworthGA30102(770) 372-3929http://calidadlatina.com/IndependentIndependentcompleteCherokee County13057ZIP 30102 spans 3 counties; assigned to the county holding 50% of its land areasource8auto_insurance0.85f69fc096-b141-4581-936a-dea13ad128452026-08-19.1-v2Microsoft2017-05-26Auto insurance agency34.087975-84.58667US
Famous and Spang Insurance200 W Bel Air AveAberdeenMD21001(410) 272-2300http://www.famousspanginsurance.com/IndependentIndependentcompleteHarford County24025insurance@famousspanginsurance.comhttps://www.facebook.com/457318197640707source1insurance_agency0.99422390e73-1302-4a8b-86a0-93f8877793cc2026-08-19.1-v2meta2026-08-10Insurance agency242139.510315-76.166992US
Brooks Insurance Agency70 Bridge Plaza DrNJ07726(732) 972-0600http://www.brooks-ins.com/IndependentIndependentmissing_city_or_zipMonmouth County34025ZIP 07726 spans 2 counties; assigned to the county holding 99% of its land areainfo@brooks-ins.comhttps://www.facebook.com/1671151099568050source3insurance_agency0.929b0f9b58-8027-4b31-9207-4da2f1707c652026-08-19.1-v2meta2026-08-10Insurance agency40.338509-74.319946US
Richard W Wilson Agency - Nationwide Insurance805 W Greenwood StAbbevilleSC29620(864) 366-4706https://agency.nationwide.com/sc/abbeville/29620/richard-w-wilsonIndependentIndependentcompleteNationwideAbbeville County45001ZIP 29620 spans 2 counties; assigned to the county holding 96% of its land areaholmanswhite@gmail.comhttps://www.facebook.com/140484295965470source1insurance_agency0.92e505b615-9d7d-4ace-ae50-3e2cf740a4082026-08-19.1-v2meta2026-08-10Insurance agency34.163847-82.381897US
Five sample rows; the file you buy has all 50 columns.

{}What's in each row

FieldWhat it isRows filled
brandWhich of the five parts the row belongs to: Independent, State Farm, Farmers Insurance, Allstate or American Family Insurance100%
nameAgency or agent office name100%
addressStreet address100%
cityCity100%
stateTwo-letter state code100%
zipZIP code100%
phoneOffice phone number100%
latitudeGPS latitude100%
longitudeGPS longitude100%
websiteAgency website (Independent rows) or the agent's page in the carrier's directory96%
countryCountry code (US)100%
brandsAtLocationEvery bundle brand listed at the same street address, ZIP and phone; just the row's own brand when no other is there100%
address_qualitycomplete, no house number, po box, missing city or zip or missing100%
agentCodeFarmers rows: Farmers' agent code10%
agentNameCaptive rows: the agent the directory names34%
agentTypeCaptive rows: Exclusive (captive) agent or agency41%
agentWebsiteState Farm and American Family rows: the agent's own website22%
associateIdState Farm rows: State Farm's associate id21%
countyCounty name100%
county_fipsFive-digit county FIPS code100%
county_noteSet when the ZIP code spans more than one county26%
emailIndependent rows: agency email, where listed43%
facebookIndependent and State Farm rows: Facebook page, where listed63%
geo_precisionHow the coordinates were arrived at: the source's own point, a geocode of the street address, or the ZIP's centre100%
languagesState Farm rows: languages spoken in the office21%
locationTypeCaptive rows: Agent office or Satellite office41%
locationsWithSameNameIndependent rows: how many rows share this agency's name60%
officeNameState Farm and American Family rows: the office label23%
officeNumberState Farm rows: 1 for the main office, 2 or 3 for a further one21%
officesForAgentState Farm and American Family rows: how many offices the agent runs24%
overtureCategoryIndependent rows: the Overture place category60%
overtureConfidenceIndependent rows: Overture's confidence that the place exists, 0 to 160%
overtureIdIndependent rows: Overture Maps place id60%
overtureReleaseIndependent rows: the Overture Maps release60%
overtureSourcesIndependent rows: the map data sources Overture used60%
overtureUpdatedIndependent rows: when the place was last updated in Overture60%
parentCompanyCaptive rows: the company that owns the carrier41%
storeTypeIndependent rows: Insurance agency, Auto insurance agency, Life insurance agency and so on60%
zip4ZIP+4 add-on, where known15%

Rows filled is measured on every row of the delivered file. The file has 50 columns: these 39, and 11 more that only one list of the bundle fills (each on under 10% of rows).

✓Where this data comes from

This dataset is built from the FDIC BankFind Suite — the institution table, the office-location table (every office an insured institution has registered with the FDIC, from the main office to loan production offices) and the annual Summary of Deposits survey — joined on the FDIC's own branch and certificate ids. Nothing here comes from a bank's website; every row is the institution's own registered entry, and the service_type column says what kind of office it is. The FDIC publishes no telephone numbers, and none are appended.

October 3, 2026

Snapshot built

50 fields

Columns in the file

Fill measured

On every row of the delivered file

Offices are published as the FDIC holds them; the only rows removed are the foreign offices of US banks (London, Nassau, Buenos Aires…), which are counted and stated on each dataset. Coordinates are validated to US bounds and blanked where the register's value was impossible; dates are normalised to ISO. Deposit figures are joined from the June 30 Summary of Deposits and carry that survey date on every row, so an office opened since the survey shows a blank rather than a guess.

How we build and date every file: methodology.

Using ChatGPT, Claude or an API?

No setup needed. Ask ChatGPT or Claude your question about the Insurance Agency Industry Bundle and give it this page: it can open https://locationlists.com/find?dataset=insurance-agency-list with the filters you need and show you the count and price.

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.

This bundle is sold as one file. Ask about any list in it with these links:

Optional: connect for repeat use or wallet payments:

Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Insurance Agency Industry Bundle list.

Your assistant will walk you through setup and show you the price before you pay.

For developers

A bundle is sold as one file rather than queried by the row. Without a connector, open https://locationlists.com/find?dataset=insurance-agency-list. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 10 rows and buy the whole file itself. How agent purchasing works

?Frequently Asked Questions

What is in the bundle?

The State Farm, Farmers, Allstate and American Family agent office lists (37,373 captive offices) and 54,804 independent insurance agencies, in one CSV. The brand column says which list each row came from.

How do I separate captive from independent agencies?

Filter brand: Independent is the independent agencies, every other value is a captive agent of that carrier. Every independent place at the same office as a captive agent was taken out, so the two halves do not overlap.

How do I find agencies a roll-up already owns?

Filter rollupParent on the Independent rows: 4,123 offices carry the name of a roll-up, broker group or franchise network (Confie, Goosehead, HUB International, Fiesta, Brightway, AssuredPartners and others). Rows with it blank trade under their own name.

What does the bundle cost compared with buying the lists one by one?

The bundle is $269: the list prices of the five lists added together, less 10%, as one file and one purchase. There is no subscription and no per-seat license.

How current is the data?

Snapshot built on October 3, 2026. It is a one-time snapshot and is not rebuilt on a schedule.

↔Datasets in this bundle

See all 5 lists