Hawaii Nonprofits
U.S. · 9,658 locations

There are 9,658 Nonprofits in Hawaii as of September 2026.

9,658 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

77% carry a named officer, 39% a telephone number, 35% a website, 32% 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.

9,658Locations
1State
77Data Fields
September 14, 2026File built

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

●Where the rows are

Map of where the Hawaii 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

hawaii-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 operateorg structuregroup rulingcounty fipscensus tractmsa codemsa namemsa typea 133 audit performedlast single audit yearaudit contact emailaudit contact phonegeo precisioncountyaddress qualitylatitudelongitude
LIVING FOR CHRIST MINISTRIESHonoluluHI96820-1512010548379PO BOX 29112no filing on recordReligion-Related% PEGGY WEBSTERX21Protestant501(c)(3)Unconditional ExemptionCorporationChurch 170(b)(1)(A)(i)yes2003-02990 - Not required to file (church)eo3.csv2026-09-081PCindependent15003zip_centroidHonolulu Countypo_box21.336329-157.920711
HOPE 4 HAWAIIWaianaeHI96792-371833451091487-182 HOLOPONO STno filing on recordPublic & Societal Benefit% ROD DUPONT JRW30Military, Veterans' Organizations501(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)yes2025-08990 (all other) or 990EZ returneo3.csv2026-09-081PCindependent15003addressHonolulu Countycomplete21.391395-158.153766
LEADERSHIP KAUAILihueHI96766-5567(808) 246-8727www.leadershipkauai.org760752398Charmaine RaveloExecutive Dir.PO BOX 1567To ensure a source of qualified and commited leaders on Kauai by engaging a cross section of individuals and developing their leadership skills to serve our community collaboratively.filingEducation317951Form 990 Part VIIROGER CABLEB60Adult, Continuing Education501(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)yes2004-042025-06232959317951100,000 to 499,999100,000 to 499,9991990 (all other) or 990EZ returneo3.csv2026-09-082025-069906202621339349305847https://apps.irs.gov/pub/epostcard/990/xml/2026/2026_TEOS_XML_05A.zip4100147331Charmaine Ravelo (Executive Dir.); Kaija Eastman (Director); Duane Kaleo Carvalho (President); Ted Faigle (Vice President); Keith Yap (Treasurer)Charmaine RaveloExecutive Dir.7000010Form 990 Part VIIForm 9901PCindependent15007zip_centroidKauai Countypo_box22.011419-159.405069
KO OLAU FOURSQUARE CHURCHKaneoheHI96744-9171900874943PO BOX 6286no filing on record501(c)(3)Unconditional ExemptionAssociationChurch 170(b)(1)(A)(i)yes1949-101061990 - Not required to file (church)eo3.csv2026-09-08subordinate106115003zip_centroidHonolulu Countypo_box21.447639-157.828850
HAWAII JAPANESE SCHOOLHonoluluHI96828-0329(808) 947-3111WWW.HJSCHL.ORG990223896YUICHIRO SEKIGUCHIPRESIDENTPO BOX 11329THE SCHOOL PROVIDES INSTRUCTION TO STUDENTS WHO ARE OF AGE TO ATTEND THE COMPULSORY EDUCATION SYSTEM OF JAPAN AND TO STUDENTS WHO DESIRE TO LEARN THE JAPANESE LANGUAGE COMPATIBLE WITH THE STANDARD EDUCATIONAL CURRICULA IN JAPAN; TO ENABLE STUDENTS TO VALUE THE JAPANESE TRADITION AND AMERICAN HERITAGE TO PROMOTE INTERNATIONAL STANDARDS IN REGARDS TO CONDUCT AND THOUGHT; AND TO OPERATE WITH OTHER EDfilingEducation1184820Form 990 Part VIIRAINBOW GAKUENB26Z501(c)(3)Unconditional ExemptionCorporationSchool 170(b)(1)(A)(ii)yes1984-092025-03188414611911701,000,000 to 4,999,9991,000,000 to 4,999,9991990 (all other) or 990EZ returneo3.csv2026-09-082025-039905202522979349301992https://apps.irs.gov/pub/epostcard/990/xml/2025/2025_TEOS_XML_11D.zip524301333700YUICHIRO SEKIGUCHI (PRESIDENT); KAZUKI FUNATO (VP, CHAIRMAN OF EXECUTIVE COMMITTEE); ALEXANDER SHARP (VP, AUDITOR); RITSUKO OSETO (SECRETARY, VICE CHAIR OF EXECUTIVE COMMITTEE); RUMIKO NAKAGAWA (TREASURER, DIRECTOR)YUICHIRO SEKIGUCHIPRESIDENT8Form 990 Part VIIForm 9901PCindependentpo_box
Five sample rows; the file you buy has all 77 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 name78%
officer_titleOfficer title39%
phoneTelephone number as reported on the organisation's own Form 99039%
websiteWebsite as reported on the Form 990 or 990-N postcard35%
streetStreet address100%
zipZIP code100%
missionMission statement as filed on Form 990 Part I/III32%
activity_statusfiling, lapsed, revoked or no filing on record — measured, not assumed100%
ntee_categoryNTEE major group — the IRS cause classification74%
revenue_amtRevenue as reported to the IRS30%
officer_sourceOfficer source78%
sort_nameSecondary or trading name where the IRS records one15%
care_ofCare of62%
ntee_codeNtee code74%
ntee_subcategoryNTEE detailed classification73%
subsection501(c) subsection, e.g. 501(c)(3)100%
exempt_statusExempt status100%
org_typeOrg type99%
foundation_typeIRS foundation classification — church, school, hospital, private foundation100%
deductibleDeductible100%
ruling_dateMonth the IRS granted exempt status100%
tax_periodTax period79%
asset_amtTotal assets as reported to the IRS38%
income_amtIncome amt37%
revenue_bandRevenue band38%
asset_bandAsset band39%
has_financialsHas financials38%
group_exemptionGroup exemption13%
filing_requirementFiling requirement100%
source_fileSource file100%
pulled_atPulled at100%
last_990_filedTax period of the most recent full Form 99041%
last_990_formLast 990 form41%
years_990_filedYears 990 filed41%
form_990_object_idForm 990 object id41%
form_990_batch_urlIRS bulk XML archive containing this organisation's return40%
principal_officerPrincipal officer from the 990-N postcard, where no full 990 exists50%
last_990n_filedYear of the most recent 990-N postcard51%
employeesEmployee count from Form 990 Part I11%
volunteersVolunteer count from Form 990 Part I13%
total_expensesTotal expenses from Form 990 Part I17%
net_assets_eoyNet assets at end of year31%
officersUp to five officers by compensation, with titles39%
top_officerPrincipal officer name from Form 990 Part VII39%
top_officer_titleThat officer's title39%
top_officer_compThat officer's reportable compensation13%
officer_countOfficer count39%
grants_paid_countNumber of grants this organisation reported paying8%
grants_paid_totalTotal value of grants paid7%
contact_sourceContact source78%
website_sourceWebsite source35%
pub78_verifiedListed in IRS Publication 78 as eligible to receive deductible contributions78%
pub78_deductibilityPublication 78 deductibility code78%
org_structureparent, subordinate, intermediate or independent, from the IRS affiliation code100%
group_rulingGroup exemption number where the organisation files under one13%
latitudeLatitude, geocoded from the address via the US Census geocoder92%
longitudeLongitude, geocoded from the address via the US Census geocoder92%
county_fipsCounty FIPS code92%
census_tractCensus tract63%
msa_codeMsa code63%
msa_nameMetropolitan or micropolitan area63%
msa_typeMsa type63%
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 centre92%
countyCounty the location is in92%
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

77 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 Hawaii Nonprofits and give it this page: it can open https://locationlists.com/find?dataset=hawaii-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 Hawaii 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=hawaii-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: "hawaii-nonprofits" and any filter — it is free, and returns how many rows match and what they cost.
  3. Fetch the rows with query_locations: $2.06 per 100 rows from this dataset. Above 4,829 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 Nonprofits are there in Hawaii?

There are 9,658 Nonprofits in Hawaii as of September 2026.

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 9,658 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 state lists