Texas Nonprofits
U.S. · 154,539 locations

There are 154,539 Nonprofits in Texas as of September 2026.

154,539 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

73% carry a named officer, 32% a telephone number, 28% a website, 25% 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.

154,539Locations
1State
78Data Fields
September 15, 2026File built

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

●Where the rows are

Map of where the Texas 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

texas-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 precisioncountycounty noteaddress qualitylatitudelongitude
DEL LAGO ESTATES UTILITY COMPANYConroeTX77305-1860010303581PO BOX 1860no filing on record501(c)(1)Unconditional ExemptionAll organizations except 501(c)(3)no25,000 to 99,999100,000 to 499,999990 - Government 501(c)(1)eo3.csv2026-09-0848339city_centroidMontgomery Countypo_box30.328717-95.484600
CNK MINISTRY INCCorinthTX76210-00053326749931509 MARBELLAS CTno filing on recordFood, Agriculture and NutritionK35Soup Kitchens501(c)(3)Unconditional ExemptionCorporationPrivate non-operating foundationyes2025-01990 - Not required to file (all other)eo3.csv2026-09-081PFindependent4812102141719100Dallas-Fort Worth-Arlington, TXMetropolitan Statistical AreasourceDenton Countycomplete33.158001420917-97.090714611474
ARTISTS FOR ANIMALSAddisonTX75001-6273(214) 478-2567artistsforanimalstx.org474650561Erin HanniganPresident4950 KELLER SPRINGS RD STE 450ARTISTS FOR ANIMALS BRINGS ARTISTS TOGETHER TO CREATE AWARENESS AND FUNDRAISE FOR ANIMAL WELFARE AND PREVENTION OF CRUELTY TO ANIMALSfilingAnimal-Related27353Form 990 Part VIID01Alliance/Advocacy 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)yes2015-082024-12226092735325,000 to 99,99910,000 to 24,9991990 - Required to file Form 990-N - Income less than $50,000 per yeareo3.csv2026-09-082024-12990EZ4202620139349201827https://apps.irs.gov/pub/epostcard/990/xml/2026/2026_TEOS_XML_01A.zipErin Hannigan20175915922609Erin Hannigan (President); Teresa Berg (Vice President); Sandra Riggins (Secretary); Elizabeth Haley (Treasurer)Erin HanniganPresident4Form 990 Part VIIForm 9901PCindependent4811301362819100Dallas-Fort Worth-Arlington, TXMetropolitan Statistical AreasourceDallas Countycomplete32.968571824037-96.826859468736
POOLVILLE VOLUNTEER FIRE DEPARTMENT INCSpringtownTX76082-0323(817) 598-4300752160459JEFF HICKSPRESIDENTPO BOX 323PROTECT THE LIVES AND PROPETY OF THE CITIZENS OF THE GREATER CITY OF POOLVILLE, TEXAS AREA, THROUGH ITS EFFORTS IN FIRE FIGHTING AND PREVENTION.filingPublic Safety, Disaster Preparedness & Relief15922Form 990 Part VIIM24Fire Prevention501(c)(4)Unconditional ExemptionCorporationAll organizations except 501(c)(3)yes2001-052025-09962771592210,000 to 24,99925,000 to 99,9991990 - Required to file Form 990-N - Income less than $50,000 per yeareo3.csv2026-09-082025-09990EZ6202600369349200125https://apps.irs.gov/pub/epostcard/990/xml/2026/2026_TEOS_XML_02A.zipJeff Hicks20152925796277JEFF HICKS (PRESIDENT)JEFF HICKSPRESIDENT1Form 990 Part VII1EOindependent48367zip_centroidParker CountyZIP 76082 spans 2 counties; assigned to the county holding 74% of its land areapo_box32.970044-97.733748
HOOD COUNTY SUBSTANCE ABUSE COUNCILGranburyTX76048-2032www.hoodcosac.org823990811301 N HANNAFORD STfilingMental Health & Crisis Intervention% MACY GRANTF20Alcohol, Drug and Substance Abuse, Dependency Prevention and Treatment501(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)yes2018-122025-12990 - Required to file Form 990-N - Income less than $50,000 per yeareo3.csv2026-09-082025990-N postcard1PCindependent4822116010024180Granbury, TXMicropolitan Statistical AreasourceHood Countycomplete32.443743910682-97.793214048252
Five sample rows; the file you buy has all 78 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 name73%
officer_titleOfficer title32%
phoneTelephone number as reported on the organisation's own Form 99032%
websiteWebsite as reported on the Form 990 or 990-N postcard28%
streetStreet address100%
zipZIP code100%
missionMission statement as filed on Form 990 Part I/III25%
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 IRS24%
officer_sourceOfficer source73%
sort_nameSecondary or trading name where the IRS records one19%
care_ofCare of64%
ntee_codeNtee code74%
ntee_subcategoryNTEE detailed classification72%
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 status99%
tax_periodTax period76%
asset_amtTotal assets as reported to the IRS31%
income_amtIncome amt31%
revenue_bandRevenue band32%
asset_bandAsset band32%
has_financialsHas financials32%
group_exemptionGroup exemption19%
filing_requirementFiling requirement100%
source_fileSource file100%
pulled_atPulled at100%
last_990_filedTax period of the most recent full Form 99034%
last_990_formLast 990 form34%
years_990_filedYears 990 filed34%
form_990_object_idForm 990 object id34%
form_990_batch_urlIRS bulk XML archive containing this organisation's return32%
principal_officerPrincipal officer from the 990-N postcard, where no full 990 exists49%
last_990n_filedYear of the most recent 990-N postcard51%
employeesEmployee count from Form 990 Part I7%
volunteersVolunteer count from Form 990 Part I8%
total_expensesTotal expenses from Form 990 Part I16%
net_assets_eoyNet assets at end of year24%
officersUp to five officers by compensation, with titles32%
top_officerPrincipal officer name from Form 990 Part VII32%
top_officer_titleThat officer's title32%
top_officer_compThat officer's reportable compensation10%
officer_countOfficer count32%
grants_paid_countNumber of grants this organisation reported paying8%
grants_paid_totalTotal value of grants paid7%
contact_sourceContact source73%
website_sourceWebsite source28%
pub78_verifiedListed in IRS Publication 78 as eligible to receive deductible contributions74%
pub78_deductibilityPublication 78 deductibility code74%
org_structureparent, subordinate, intermediate or independent, from the IRS affiliation code100%
group_rulingGroup exemption number where the organisation files under one19%
latitudeLatitude, geocoded from the address via the US Census geocoder100%
longitudeLongitude, geocoded from the address via the US Census geocoder100%
county_fipsCounty FIPS code100%
census_tractCensus tract70%
msa_codeMsa code68%
msa_nameMetropolitan or micropolitan area68%
msa_typeMsa type68%
geo_precisionHow exact the map point is: the source's own point, the street address, or the ZIP code's centre100%
countyCounty the location is in100%
county_noteHow the county was found, where it was not given by the source8%
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

78 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 Texas Nonprofits and give it this page: it can open https://locationlists.com/find?dataset=texas-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 Texas 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=texas-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: "texas-nonprofits" and any filter — it is free, and returns how many rows match and what they cost.
  3. Fetch the rows with query_locations: $0.14 per 100 rows from this dataset. Above 77,270 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 Texas?

There are 154,539 Nonprofits in Texas 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 154,539 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