Idaho Healthcare Organizations
U.S. · 12,021 locations

There are 12,021 Healthcare Organizations in Idaho as of September 2026.

12,021 healthcare organizations — practices, clinics, agencies and facilities, each at its business address. 100% carry a street address, 100% a telephone number, 32% a state license number, 100% a specialty from the NUCC taxonomy.

More about this list

Built from the CMS National Plan and Provider Enumeration System (NPPES) monthly file, the NPPES deactivation report, the NUCC provider taxonomy and the CMS Care Compare Doctors and Clinicians national file. Every deactivated NPI is removed — 351,911 of them — rather than shipped as an empty row, and the address is the practice location, never the mailing address. Coverage is 1 states and territories.

12,021Locations
1State
83Data Fields
September 14, 2026File built

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

●Where the rows are

Map of where the Idaho Healthcare Organizations are
One dot for every ZIP code with at least one location. Ask above for any part of it: a state, a city, a distance.

≡Sample Data Preview

idaho-healthcare-organizations.csvscroll →UTF-8
nameaddresscitystatezipphonenpientity typespecialtycountycbsa titleorganization namelicense numberlicense statefacility affiliationsoig excludednpis at addressother organization nameadditional namesprimary taxonomy codeprovider groupingclassificationspecializationall taxonomy codestaxonomy countzip plus4faxdirect addressother endpointendpoint countmailing addressmailing citymailing statemailing zipmailing countryorganization subpartparent organizationauthorized officialauthorized official firstauthorized official middleauthorized official lastauthorized official titleauthorized official credentialauthorized official phoneother identifiersother identifier typesother identifier issuerstaxonomy groupssecondary practice locationsenumeration datelast update datecertification dateeinoig exclusion typeoig exclusion dateoig exclusion categoryoig exclusion specialtyoig reinstatement dateoig waiver dateoig addressoig cityoig statesecondary practice locations nsecondary addresssecondary citysecondary statesecondary zipsecondary phonesecondary phone extsecondary faxadditional names 1additional name countendpoint affiliationcounty fipsstate fipscbsa codecbsa typezip land sqmigeo precisionaddress qualitylatitudelongitudecountry
WORLEY AMBULANCE ASSOCIATION, INC.9816 I STREETWorleyID83876(208) 686-18831720073307OrganizationLand AmbulanceKootenai CountyCoeur d'Alene, IDWORLEY AMBULANCE ASSOCIATION, INC.7107ID0N13416L0300XTransportation ServicesAmbulanceLand Transport3416L0300X18387620868636040PO BOX 69WORLEYID83876USNCHARLENE E. WADDELLCHARLENEE.WADDELLBUSINESS MANAGER(208) 686-1883000010014312|E0393|00250850001|01|05REGENCE BLUE SHIELD OF ID|BLUE CROSS OF IDAHO009/20/200511/01/201100160551617660Metropolitan Statistical Area120.623sourcecomplete47.455719-116.948921US
SHOPKO STORES OPERATING CO. LLC1649 POLELINE RD ETwin FallsID83301(208) 734-39081821040973OrganizationEyewear SupplierTwin Falls CountyTwin Falls, IDSHOPKO STORES OPERATING CO. LLC0N4ShopKo Optical 067332H00000XSuppliersEyewear Supplier332H00000X|156FX1800X283301-359201649 POLELINE RD ETWIN FALLSID83301USNMICHAEL J BETTIGAMICHAELJBETTIGASR. VICE PRESIDENT HEALTH SERVICESRPH(920) 429-4297014067|1379402|000309700|17835|213121-8|80643010301|01|05|01|01|05VIP|MEDICARE|MEDICARE|EYEMED193400000X MULTIPLE SINGLE SPECIALTY GROUP005/17/200608/03/20090ShopKo Optical 0671160831646300Metropolitan Statistical Area295.691sourcecomplete42.400555-114.524876US
SOUTH FORK SERVICES, LLC310 N 2ND E STE 128RexburgID83440(208) 356-56751588006217OrganizationCommunity/Behavioral Health AgencyMadison CountyRexburg, IDSOUTH FORK SERVICES, LLCLCSW 27205ID0N2251S00000XAgenciesCommunity/Behavioral Health251S00000X183440-16070310 N 2ND E STE 128REXBURGID83440USNWADE GORDONWADEGORDONOWNERLCSW(208) 356-5675007/23/201307/23/201300160651639940Micropolitan Statistical Area181.667sourcecomplete43.808572-111.80862US
EARL C CHESTER JR. MD PA115 S 15TH AVE, SUITE EPocatelloID83201(208) 232-21071760653059OrganizationDermatology PhysicianBannock CountyPocatello, IDEARL C CHESTER JR. MD PAM3346ID0N2207N00000XAllopathic & Osteopathic PhysiciansDermatology207N00000X183201-40680115 S 15TH AVE, SUITE EPOCATELLOID83201USNEARL C CHESTEREARLCCHESTEROWNERMD(208) 232-2107111027601MEDICARE PROVIDER193400000X SINGLE SPECIALTY GROUP003/14/200803/18/200800160051638540Metropolitan Statistical Area34.206sourcecomplete42.90602-112.373628US
ST. MARY'S HOSPITAL619 4TH STKamiahID83636(208) 935-03671932333994OrganizationPhysical TherapistGem CountyBoise City, IDST. MARY'S HOSPITAL0N1Kamiah Physical Therapy225100000XRespiratory, Developmental, Rehabilitative and Restorative Service ProvidersPhysical Therapist225100000X18363620893503450PO BOX 95KAMIAHID83536USNTHERESA A UPTMORTHERESAAUPTMORCHIEF BUSINESS SERVICES OFFICER(208) 962-2301193400000X SINGLE SPECIALTY GROUP005/06/200904/07/20150Kamiah Physical Therapy1160451614260Metropolitan Statistical Area2.492sourcecomplete43.906938-116.659563US
Five sample rows; the file you buy has all 83 columns.

{}What's in each row

FieldWhat it isRows filled
npiNational Provider Identifier — the federal key for every US healthcare provider100%
nameOrganization legal business name, or the provider's full name100%
entity_typeOrganization or Individual — whether the row is a business or a licensed person100%
specialtyPrimary specialty, decoded from the NUCC provider taxonomy100%
addressPractice location street address (never the mailing address)100%
cityCity100%
stateTwo-letter state code100%
zip5-digit ZIP100%
phonePractice location telephone, digits only100%
countyCounty the location is in100%
cbsa_titleCbsa title92%
latitudeLatitude100%
longitudeLongitude100%
organization_nameLegal business name where the row is an organization100%
license_numberState license number for the primary taxonomy32%
license_stateState that issued that license37%
facility_affiliationsFacility affiliations100%
oig_excludedOig excluded100%
npis_at_addressHow many NPIs share this practice address — the entity-vs-location fan-in100%
other_organization_nameOther organization name26%
additional_namesAdditional names33%
primary_taxonomy_codePrimary taxonomy code100%
provider_groupingNUCC top-level grouping, e.g. Allopathic & Osteopathic Physicians100%
classificationNUCC classification — the level products are cut on100%
specializationNUCC specialization, where the provider declared one42%
all_taxonomy_codesEvery taxonomy code the provider declared, pipe-separated100%
taxonomy_countHow many distinct taxonomies that is100%
zip_plus4ZIP+4 where the provider filed one100%
countryCountry100%
faxPractice location fax58%
direct_addressDirect secure-messaging address from the NPPES endpoint file. NOT a marketing email1%
other_endpointOther endpoint3%
endpoint_countHow many electronic endpoints the provider registered100%
mailing_addressBusiness mailing address, kept separate because it differs for a large minority100%
mailing_cityMailing city100%
mailing_stateMailing state100%
mailing_zipMailing ZIP100%
mailing_countryMailing country100%
organization_subpartY where this NPI is a subpart of a larger organization100%
parent_organizationParent organization legal business name where the NPI is a subpart8%
authorized_officialNamed authorized official for an organization NPI100%
authorized_official_firstAuthorized official first100%
authorized_official_middleAuthorized official middle48%
authorized_official_lastAuthorized official last100%
authorized_official_titleThat official's title100%
authorized_official_credentialAuthorized official credential53%
authorized_official_phoneThat official's telephone100%
other_identifiersOther identifiers27%
other_identifier_typesOther identifier types27%
other_identifier_issuersOther identifier issuers13%
taxonomy_groupsTaxonomy groups53%
secondary_practice_locationsCount of additional practice locations filed since 2020100%
enumeration_dateDate the NPI was issued100%
last_update_dateDate the provider last updated their NPPES record100%
certification_dateCertification date48%
einEmployer Identification Number where the provider published one100%
secondary_practice_locations_nSecondary practice locations n100%
secondary_addressSecondary address4%
secondary_citySecondary city4%
secondary_stateSecondary state4%
secondary_zipSecondary zip4%
secondary_phoneSecondary phone4%
secondary_faxSecondary fax2%
additional_names_1Additional names 133%
additional_name_countAdditional name count100%
endpoint_affiliationEndpoint affiliation2%
county_fipsFive-digit federal code of that county100%
state_fipsState fips100%
cbsa_codeCbsa code92%
cbsa_typeCbsa type92%
zip_land_sqmiZip land sqmi100%
geo_precisionHow exact the map point is: the source's own point, the street address, or the ZIP code's centre100%
address_qualityWhether the street address is complete, missing a house number, or a PO box100%

Rows filled is measured on every row of the delivered file.

✓Where this data comes from

This dataset is built from the CMS National Plan and Provider Enumeration System (NPPES) monthly file — the federal registry every billing provider must maintain — with the NPPES deactivation report applied so retired NPIs are excluded, specialties resolved against the NUCC provider taxonomy, and Medicare participation joined from the CMS Care Compare Doctors and Clinicians national file. Nothing here comes from a provider's own website; every record is the provider's own registered entry.

September 14, 2026

File built

83 fields

Columns in the file

Fill measured

On every row of the delivered file

Deactivated NPIs are removed using the CMS deactivation report, specialties are resolved against the NUCC taxonomy rather than kept as raw codes, and addresses are validated to US bounds and ZIP format. Records are otherwise published as registered — the federal file is the record of truth, and correcting it would make the dataset disagree with the source buyers reconcile against.

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 Idaho Healthcare Organizations and give it this page: it can open https://locationlists.com/find?dataset=idaho-healthcare-organizations 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.

Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:

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 Idaho Healthcare Organizations list.

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

For developers

Every step below has a no-connector equivalent: https://locationlists.com/find?dataset=idaho-healthcare-organizations with the same filters as query parameters.

  1. Connect your agent to https://locationlists.com/mcp (no key, no signup).
  2. Call count_locations with dataset: "idaho-healthcare-organizations" and any filter — it is free, and returns how many rows match and what they cost.
  3. Fetch the rows with query_locations: $0.83 per 100 rows from this dataset. Above 6,011 rows, buying the whole file is cheaper.

Paid in USDC over x402 — the agent gets an HTTP 402 with the exact price, signs, and retries. Money moves only after rows are delivered, so a failed or empty query costs nothing. Setup for Claude, Cursor and VS Code

?Frequently Asked Questions

How many Healthcare Organizations are there in Idaho?

There are 12,021 Healthcare Organizations in Idaho as of September 2026.

Where does this data come from?

The CMS National Plan and Provider Enumeration System — the federal NPI registry — plus the NUCC provider taxonomy and the CMS Care Compare clinician file. All three are published by the government and free to download; what you are buying is the parsing, the taxonomy decode, the deactivation cleanup and the cut. Every vendor selling an NPI-based list is working from the same files.

Are these businesses or individual people?

Organizations only — practices, clinics, agencies and facilities at their business address. Individual providers are sold separately so the two are never mixed.

One address sometimes has several NPIs. Does that inflate the count?

It can, and the file tells you: npis_at_address counts how many NPIs share each practice address. NPPES enumerates billing entities rather than premises, so a practice may carry one NPI per owning PLLC. Filter on that column to get sites.

Is this the same data Definitive Healthcare or IQVIA sell?

The registry underneath is the same public CMS file. What those vendors add on top is their own layer — hospital affiliations they research, executive contacts, claims-derived volumes, purchasing intent. If you need that, buy them. If you need the registry itself as a file you own, this is it, at a fraction of a subscription.

Does this include email addresses?

No, and no honest NPI-based product does — NPPES has no email field. What it does have is the Direct secure-messaging address that some providers register for clinical data exchange, and those ship in their own column, labelled, because they are not marketing addresses. Any vendor selling you a 'physician email list' built on NPI data appended those emails from somewhere else.

How current is it?

File built on September 14, 2026. It is not on an automatic refresh schedule, so check the build date above before you buy.

What format is the download?

A single UTF-8 CSV with a header row, one row per NPI, ready for Excel, a CRM import or a database load. Commercial licence, one-off purchase, no subscription.

↔Other healthcare organizations by state lists