US Private Foundations
U.S. · 130,514 locations

There are 130,514 Private Foundations in the US as of September 2026. They are in all 50 states, DC and Puerto Rico.

130,514 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

91% carry a named officer, 90% a telephone number, 14% a website. 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.

130,514Locations
52States
79Data Fields
September 15, 2026File built

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

●Where the rows are

Map of where the US Private Foundations 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

us-private-foundations.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
ALASKA WRITERS GUILDChugiakAK99567-0014(907) 227-4351010898666LAURA LANCASTERPRESIDENTPO BOX 670014filingEducationForm 990 Part VII% JAMES MISKOB99Education N.E.C.501(c)(3)Unconditional ExemptionCorporationPrivate operating foundation (other)yes2010-102024-1262442751325,000 to 99,9991 to 9,9991990 - Not required to file (all other)eo3.csv2026-09-082024-12990PF5202542479349101414https://apps.irs.gov/pub/epostcard/990/xml/2025/2025_TEOS_XML_09A.zip27858LAURA LANCASTER (PRESIDENT); JAMEY BRADBURY (DIRECTOR); BROOKE HARTMAN (TREAURER); LAURA CARPENTER (DIRECTOR); LINDSAY BELLE SOBOLIK (VICE PRESIDE)LAURA LANCASTERPRESIDENT9Form 990 Part VII1POFindependent02020zip_centroidAnchorage Municipalitypo_box61.299272-149.021202
MAPLE FARMS FOUNDATIONEast EllijayGA30539-0006(770) 314-9331010494042Michael K PaceSecretaryTreasurerPO BOX 309lapsedPhilanthropy, Voluntarism and Grantmaking FoundationsForm 990 Part VIIROLLINS E J% ORLOFF LOWENBACH STIFELMAN ET ALT20Private Grantmaking Foundations501(c)(3)Unconditional ExemptionCorporationPrivate non-operating foundationyes2023-032022-107375513563325,000 to 99,999500,000 to 999,9991990 - Not required to file (all other)eo3.csv2026-09-082022-10990PF1202423169349100637https://apps.irs.gov/pub/epostcard/990/xml/2024/2024_TEOS_XML_11A.zip5284Michael K Pace (SecretaryTreasurer)Michael K PaceSecretaryTreasurer113000Form 990 Part VII1PFindependent13123zip_centroidGilmer Countypo_box34.680607-84.470127
JOE AND MISSY WALSH FOUNDATIONPotomacMD20854-1218(301) 280-5105010551686MELISSA WALSHPRESIDENT/DIRECTOR11600 PARTRIDGE RUN LNfilingPhilanthropy, Voluntarism and Grantmaking FoundationsForm 990 Part VII% JOSEPH WALSHT90Named Trusts N.E.C.501(c)(3)Unconditional ExemptionCorporationPrivate non-operating foundationyes2002-052025-121430913262172100,000 to 499,9991,000,000 to 4,999,9991990 - Not required to file (all other)eo2.csv2026-09-082025-12990PF6202621339349101222https://apps.irs.gov/pub/epostcard/990/xml/2026/2026_TEOS_XML_05A.zip100379MELISSA WALSH (PRESIDENT/DIRECTOR); JOSEPH WALSH (CHAIRMAN/TREASURER); SUE LEE (SECRETARY)MELISSA WALSHPRESIDENT/DIRECTOR31592750Form 990 Part VII1PFindependent2403170060847900Washington-Arlington-Alexandria, DC-VA-MD-WVMetropolitan Statistical AreasourceMontgomery Countycomplete39.048321376474-77.240421643691
HATTIE A & FRED C LYNAM TRUST 64ConcordNH03301-4915(603) 224-1350010222218BAR HARBOR WEALTH MANAGEMENTTRUSTEE90 N MAIN STfilingPhilanthropy, Voluntarism and Grantmaking FoundationsForm 990 Part VII% BAR HARBOR TRUST SERVICEST22Private Independent Foundations501(c)(3)Unconditional ExemptionTrustPrivate non-operating foundationyes2008-082025-12525573822127301,000,000 to 4,999,9995,000,000 to 9,999,9991990 - Not required to file (all other)eo1.csv2026-09-082025-12990PF6202601179349100345https://apps.irs.gov/pub/epostcard/990/xml/2026/2026_TEOS_XML_05A.zip340926BAR HARBOR WEALTH MANAGEMENT (TRUSTEE)BAR HARBOR WEALTH MANAGEMENTTRUSTEE3823211285790Form 990 Part VII1PFindependent3301303230018180Concord, NHMicropolitan Statistical AreasourceMerrimack Countycomplete43.206679170576-71.53634736345
ATLANTIC RESIDENTIAL RESOURCEBeaufortSC29901-0032(207) 415-7953010518429Alan J PethickPresident/DirectorPO BOX 32filingHuman ServicesForm 990 Part VII% ALAN J PETHICKP20Human Service Organizations501(c)(3)Unconditional ExemptionCorporationPrivate non-operating foundationyes1999-022024-121013190142700100,000 to 499,9991,000,000 to 4,999,9991990 - Not required to file (all other)eo2.csv2026-09-082024-12990PF5202530789349100323https://apps.irs.gov/pub/epostcard/990/xml/2025/2025_TEOS_XML_03A.zip132153Alan J Pethick (President/Director); Mark R Swann (Vice President/Director); Horace W Horton (Treasurer/Secretary/Direct)Alan J PethickPresident/Director280003677500Form 990 Part VII1PFindependent45013city_centroidBeaufort Countypo_box32.458085-80.722543
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 name91%
officer_titleOfficer title90%
phoneTelephone number as reported on the organisation's own Form 99090%
websiteWebsite as reported on the Form 990 or 990-N postcard14%
streetStreet address100%
zipZIP code100%
activity_statusfiling, lapsed, revoked or no filing on record — measured, not assumed100%
ntee_categoryNTEE major group — the IRS cause classification80%
officer_sourceOfficer source91%
sort_nameSecondary or trading name where the IRS records one11%
care_ofCare of72%
ntee_codeNtee code80%
ntee_subcategoryNTEE detailed classification79%
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 period92%
asset_amtTotal assets as reported to the IRS92%
income_amtIncome amt92%
revenue_bandRevenue band92%
asset_bandAsset band92%
has_financialsHas financials92%
filing_requirementFiling requirement100%
source_fileSource file100%
pulled_atPulled at100%
last_990_filedTax period of the most recent full Form 99091%
last_990_formLast 990 form91%
years_990_filedYears 990 filed91%
form_990_object_idForm 990 object id91%
form_990_batch_urlIRS bulk XML archive containing this organisation's return91%
principal_officerPrincipal officer from the 990-N postcard, where no full 990 exists2%
last_990n_filedYear of the most recent 990-N postcard2%
total_expensesTotal expenses from Form 990 Part I84%
officersUp to five officers by compensation, with titles90%
top_officerPrincipal officer name from Form 990 Part VII90%
top_officer_titleThat officer's title90%
top_officer_compThat officer's reportable compensation21%
officer_countOfficer count90%
grants_paid_countNumber of grants this organisation reported paying67%
grants_paid_totalTotal value of grants paid67%
contact_sourceContact source91%
website_sourceWebsite source14%
pub78_verifiedListed in IRS Publication 78 as eligible to receive deductible contributions99%
pub78_deductibilityPublication 78 deductibility code99%
org_structureparent, subordinate, intermediate or independent, from the IRS affiliation code100%
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 tract74%
msa_codeMsa code71%
msa_nameMetropolitan or micropolitan area71%
msa_typeMsa type71%
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 15, 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 US Private Foundations and give it this page: it can open https://locationlists.com/find?dataset=us-private-foundations 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 US Private Foundations 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=us-private-foundations 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: "us-private-foundations" and any filter — it is free, and returns how many rows match and what they cost.
  3. Fetch the rows with query_locations: $1.08 per 100 rows from this dataset. Above 65,257 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 Private Foundations are there in the US?

There are 130,514 Private Foundations 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.

Does this tell me what each foundation actually funded?

This file identifies the foundations. The grants themselves — 6,465,185 awards worth over $680 billion, with recipient and purpose — are a separate dataset, US Nonprofit Grants Awarded.

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 130,514 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 revenue lists