Health Associations Nonprofits
U.S. · 14,090 locations

There are 14,090 Health Associations Nonprofits in the US as of September 2026. They are in all 50 states, DC and Puerto Rico.

14,090 US nonprofit organisations. Built from IRS Business Master File, the Form 990/990-EZ/990-PF e-file XML, 990-N e-postcards, the IRS auto-revocation list, IRS Publication 78, the Federal Audit Clearinghouse and the US Census geocoder.

More about this list

88% carry a named officer, 44% a telephone number, 51% a website, 41% the mission statement they filed with the IRS. Every organisation carries an activity_status that was measured from both IRS filing channels — the full 990 e-file index and the 990-N postcard file — rather than inferred from registration alone. 73 columns per record.

14,090Locations
52States
79Data Fields
September 14, 2026File built

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

●Where the rows are

Map of where the Health Associations Nonprofits 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

health-associations-nonprofits.csvscroll →UTF-8
namecitystatezipphonewebsiteeinofficer nameofficer titlestreetmissionactivity statusntee categoryrevenue amtemailofficer sourcesort namecare ofntee codentee subcategorysubsectionexempt statusorg typefoundation typedeductibleruling datetax periodasset amtincome amtrevenue bandasset bandhas financialsgroup exemptionfiling requirementsource filepulled atexemption revokedrevocation datelast 990 filedlast 990 formyears 990 filedform 990 object idform 990 batch urlprincipal officerlast 990n filedemployeesvolunteerstotal expensesnet assets eoyofficerstop officertop officer titletop officer compofficer countgrants paid countgrants paid totalcontact sourcewebsite sourcepub78 verifiedpub78 deductibilityca may not operateca ftb revoked name matchorg structuregroup rulingcounty fipscensus tractmsa codemsa namemsa typea 133 audit performedlast single audit yearaudit contact emailaudit contact phonegeo precisioncountycounty noteaddress qualitylatitudelongitude
LOST LAKE RUN INCAnchorageAK99524-1367(907) 444-5860205812503PATRICK K SIMPSONPRESIDENTPO BOX 241367RAISE AWARENESS OF LOST LAKE NON-PROFIT IN FUND-RAISING EFFORTS FOR CYSTIC FIBROSIS FOUNDATION SUPPORT.filingVoluntary Health Associations & Medical Disciplines231194Form 990 Part VII% PATRICK K SIMPSONG112Single Organization Support501(c)(3)Unconditional ExemptionCorporationOrganization that receives a substantial part of its support from a governmental unit or the general public 170(b)(1)(A)(vi)yes2007-062024-1216315256268100,000 to 499,99910,000 to 24,9991990 (all other) or 990EZ returneo3.csv2026-09-082024-129905202513159349300601https://apps.irs.gov/pub/epostcard/990/xml/2025/2025_TEOS_XML_11D.zip110016315PATRICK K SIMPSON (PRESIDENT); SABRINA WALKER (SECRETARY); PAMELA ELLIS (TREASURER); GARY GREEN (DIRECTOR); TERESA OLDENKAMP (DIRECTOR)PATRICK K SIMPSONPRESIDENT462349190000Form 990 Part VII1PCindependent02020city_centroidAnchorage Municipalitypo_box61.174250-149.284329
HEALTHY BLACK COMMUNITIES INCAtlantaGA30310-1804www.hbcinc.org010632161LaMont Evans964 RALPH DAVID ABERNATHY SW C12filingVoluntary Health Associations & Medical DisciplinesForm 990-N e-postcardG81AIDS501(c)(3)Unconditional ExemptionCorporationOrganization that receives a substantial part of its support from a governmental unit or the general public 170(b)(1)(A)(vi)yes2015-012025-12990 - Required to file Form 990-N - Income less than $50,000 per yeareo3.csv2026-09-08LaMont Evans2025990-N postcard990-N postcard1PCindependent1312100420012060Atlanta-Sandy Springs-Roswell, GAMetropolitan Statistical AreasourceFulton Countycomplete33.737894273511-84.419398687968
NATIONAL FEDERATION OF THE BLIND INCBaltimoreMD21230-4914(410) 659-9314WWW.NFB.ORG020259978JOHN G PARE JREXECUTIVE DIR OF ADVOCACY & POLICY1800 JOHNSON STINTEGRATING THE BLIND INTO SOCIETYfilingVoluntary Health Associations & Medical Disciplines24397357Form 990 Part VIIBLIND FEDERATION OF AMERICA% MARK RICCOBONOG41ZEye Diseases, Blindness and Vision Impairments501(c)(3)Unconditional ExemptionCorporationOrganization that receives a substantial part of its support from a governmental unit or the general public 170(b)(1)(A)(vi)yes1949-022025-12425721463115214310,000,000 to 49,999,99910,000,000 to 49,999,9991990 (all other) or 990EZ returneo2.csv2026-09-082025-129906202641349349306319https://apps.irs.gov/pub/epostcard/990/xml/2026/2026_TEOS_XML_05A.zip812500034563602JOHN G PARE JR (EXECUTIVE DIR OF ADVOCACY & POLICY); JOHN BERGGREN (EXECUTIVE DIRECTOR OF OPERATIONS); PATTI S GREGORY (DIRECTOR OF OUTREACH); ANIL LEWIS (EXEC DIR OF BLINDNESS INITIATIVES); BRIDGID M BURKE (EXECUTIVE DIR OF FISCAL SERVICES)JOHN G PARE JREXECUTIVE DIR OF ADVOCACY & POLICY152881226479508Form 990 Part VIIForm 9901PCindependent2451024040012580Baltimore-Columbia-Towson, MDMetropolitan Statistical AreasourceBaltimore citycomplete39.269605081542-76.60936409772
BREATHE NEW HAMPSHIREManchesterNH03101-1235(603) 669-2411WWW.BREATHENH.ORG020222170MARYANNE FERGUSONPRESIDENT & CEO145 HOLLIS ST UNIT CBREATHE NEW HAMPSHIRE'S MISSION IS TO ELIMINATE LUNG DISEASE AND TO IMPROVE THE QUALITY OF LIFE FOR THOSE LIVING WITH LUNG DISEASE IN NEW HAMPSHIRE.filingVoluntary Health Associations & Medical Disciplines1560043Form 990 Part VIIG45ZLung Disease501(c)(3)Unconditional ExemptionAssociationOrganization that receives a substantial part of its support from a governmental unit or the general public 170(b)(1)(A)(vi)yes1942-112025-062093157158317095,000,000 to 9,999,99910,000,000 to 49,999,9991990 (all other) or 990EZ returneo1.csv2026-09-082025-069905202523169349307917https://apps.irs.gov/pub/epostcard/990/xml/2025/2025_TEOS_XML_11C.zip86019248500MARYANNE FERGUSON (PRESIDENT & CEO); CONNELL J TARR (VICE CHAIR); JOEL ROZEN CPA CFE (CHAIR); ARTHUR G ROBINS MD (BOARD OF DIRECTOR); ALBEE L BUDNITZ MD (SECRETARY)MARYANNE FERGUSONPRESIDENT & CEO1284789Form 990 Part VIIForm 9901PCindependent3301120040031700Manchester-Nashua, NHMetropolitan Statistical AreasourceHillsborough Countycomplete42.995958202273-71.465980349858
CCES ENDOWMENT CORPORATIONGreenvilleSC29607-4265(864) 299-1522020613363CLIFF HOLEKAMPMEMBER245 CAVALIER DRSUPPORT CHRIST CHURCH EPISCOPAL SCHOOL BY INVESTING ENDOWMENT AND PROVIDING SCHOLARSHIPS AND OTHER EDUCATIONAL ASSISTANCEfilingVoluntary Health Associations & Medical Disciplines741534Form 990 Part VIIG12Fund Raising and/or Fund Distribution501(c)(3)Unconditional ExemptionCorporationOrganizations operated solely for the benefit of and in conjunction with organizations described in 10 through 16 above 509(a)(3)yes2003-122025-06882764724264291,000,000 to 4,999,9995,000,000 to 9,999,9991990 (all other) or 990EZ returneo2.csv2026-09-082025-069906202523179349302987https://apps.irs.gov/pub/epostcard/990/xml/2025/2025_TEOS_XML_11C.zip8827647CLIFF HOLEKAMP (MEMBER); JOHN HELMERS (MEMBER); CARTER SHAW LOWRANCE (MEMBER); IKE POPLIN (MEMBER); BILLY WEBSTER (MEMBER)CLIFF HOLEKAMPMEMBER71237089Form 990 Part VII1SOUNKindependent4504500290124860Greenville-Anderson-Greer, SCMetropolitan Statistical AreasourceGreenville Countycomplete34.794281962475-82.348970029014
Five sample rows; the file you buy has all 79 columns.

{}What's in each row

FieldWhat it isRows filled
einIRS Employer Identification Number — the primary key for every US nonprofit100%
nameLegal organisation name as registered with the IRS100%
cityCity100%
stateTwo-letter state code100%
officer_nameOfficer name88%
officer_titleOfficer title44%
phoneTelephone number as reported on the organisation's own Form 99044%
websiteWebsite as reported on the Form 990 or 990-N postcard51%
streetStreet address100%
zipZIP code100%
missionMission statement as filed on Form 990 Part I/III41%
activity_statusfiling, lapsed, revoked or no filing on record — measured, not assumed100%
ntee_categoryNTEE major group — the IRS cause classification100%
revenue_amtRevenue as reported to the IRS39%
officer_sourceOfficer source88%
sort_nameSecondary or trading name where the IRS records one8%
care_ofCare of64%
ntee_codeNtee code100%
ntee_subcategoryNTEE detailed classification97%
subsection501(c) subsection, e.g. 501(c)(3)100%
exempt_statusExempt status100%
org_typeOrg type100%
foundation_typeIRS foundation classification — church, school, hospital, private foundation100%
deductibleDeductible100%
ruling_dateMonth the IRS granted exempt status100%
tax_periodTax period90%
asset_amtTotal assets as reported to the IRS43%
income_amtIncome amt42%
revenue_bandRevenue band43%
asset_bandAsset band44%
has_financialsHas financials44%
group_exemptionGroup exemption1%
filing_requirementFiling requirement100%
source_fileSource file100%
pulled_atPulled at100%
last_990_filedTax period of the most recent full Form 99047%
last_990_formLast 990 form47%
years_990_filedYears 990 filed47%
form_990_object_idForm 990 object id47%
form_990_batch_urlIRS bulk XML archive containing this organisation's return45%
principal_officerPrincipal officer from the 990-N postcard, where no full 990 exists58%
last_990n_filedYear of the most recent 990-N postcard59%
employeesEmployee count from Form 990 Part I14%
volunteersVolunteer count from Form 990 Part I16%
total_expensesTotal expenses from Form 990 Part I18%
net_assets_eoyNet assets at end of year40%
officersUp to five officers by compensation, with titles44%
top_officerPrincipal officer name from Form 990 Part VII44%
top_officer_titleThat officer's title44%
top_officer_compThat officer's reportable compensation15%
officer_countOfficer count44%
grants_paid_countNumber of grants this organisation reported paying8%
grants_paid_totalTotal value of grants paid8%
contact_sourceContact source88%
website_sourceWebsite source51%
pub78_verifiedListed in IRS Publication 78 as eligible to receive deductible contributions97%
pub78_deductibilityPublication 78 deductibility code97%
org_structureparent, subordinate, intermediate or independent, from the IRS affiliation code100%
group_rulingGroup exemption number where the organisation files under one1%
latitudeLatitude, geocoded from the address via the US Census geocoder99%
longitudeLongitude, geocoded from the address via the US Census geocoder99%
county_fipsCounty FIPS code99%
census_tractCensus tract80%
msa_codeMsa code78%
msa_nameMetropolitan or micropolitan area78%
msa_typeMsa type78%
a_133_audit_performedSingle Audit on file with the Federal Audit Clearinghouse2%
last_single_audit_yearLast single audit year2%
audit_contact_emailAudit contact email2%
audit_contact_phoneAudit contact phone2%
geo_precisionHow exact the map point is: the source's own point, the street address, or the ZIP code's centre99%
countyCounty the location is in99%
county_noteHow the county was found, where it was not given by the source3%
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 IRS's own public files — the Business Master File of exempt organisations, the Form 990/990-EZ/990-PF e-file XML, the 990-N e-postcard file, the auto-revocation list and Publication 78 — joined on EIN, with the Federal Audit Clearinghouse for single-audit detail and the US Census geocoder for coordinates. Nothing is collected from an organisation's own website: every field traces to a filing the organisation made or a determination the IRS published.

September 14, 2026

File built

79 fields

Columns in the file

Fill measured

On every row of the delivered file

Records are published as the IRS holds them — nothing is silently dropped for looking wrong, because on this file an empty field is itself information (a church that files no return is not a bad record). Coordinates are validated to US bounds, ZIPs and phone numbers to format, and every organisation carries an activity_status measured from both filing channels — the 990 e-file index and the 990-N postcard file — rather than inferred from registration. Fill rates vary sharply by slice and are stated on each dataset.

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 Health Associations Nonprofits and give it this page: it can open https://locationlists.com/find?dataset=health-associations-nonprofits 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 Health Associations Nonprofits 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=health-associations-nonprofits 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: "health-associations-nonprofits" and any filter — it is free, and returns how many rows match and what they cost.
  3. Fetch the rows with query_locations: $2.12 per 100 rows from this dataset. Above 7,045 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 Health Associations Nonprofits are there in the US?

There are 14,090 Health Associations Nonprofits in the US as of September 2026. They are in all 50 states, DC and Puerto Rico.

Is this the same data as GuideStar or Candid?

It comes from the same public IRS sources Candid uses — they list them on candid.org/about/our-data/data-sources. Against Candid's published Essentials API schema we match 41 of the 66 fields it returns, which is 84% of the fields reproducible from public records. What we do not have is the part organisations submit to Candid directly: board rosters, DEI demographics, Seals of Transparency, awards and photos. If you need those, Candid is the right purchase. If you need the whole file as a CSV, this is.

Why is this so much cheaper than a Candid API subscription?

Candid sells a subscription starting at $4,800 a year. This is a one-off purchase — and you are not giving up API access to get the lower price. The same 14,090 records are available three ways: the bulk CSV, our MCP server for programmatic queries, and per-record pricing so an application or AI agent can pull just the rows it needs. What you are not paying for is an annual seat.

Do you have an API, or only CSV downloads?

Both. Every dataset is exposed through our MCP server — search, sample, quote, buy and query — and priced per record, so you can pull a single EIN or a filtered slice without buying the file. Payment is by card or stablecoin with no account to create. The CSV is simply the cheapest route once you want more than about half the rows.

How do I know an organisation on this list still exists?

Every row carries activity_status. “filing” means the organisation filed a 990, 990-EZ, 990-PF or 990-N postcard within the last two tax years. “revoked” means it appears on the IRS auto-revocation list with no later determination letter. Registration alone is not treated as evidence of life — 435,906 organisations in the full IRS file have no filing on record at all.

What is missing, and can you add it?

Deep Form 990 financial detail (every line of Parts VIII–X), websites and logos for organisations that did not report one, and subject/population classification beyond the IRS NTEE code. All three are buildable — the 990 line items are in files we already hold. Choose “Custom enrichment” at checkout and we will scope it with you.

Can an AI agent buy a slice of this instead of the whole file?

Yes. The dataset is exposed through our MCP server with per-record pricing, so an agent can query and pay for exactly the rows it needs rather than the whole download.

↔Other nonprofits by cause lists