funder-graph

FundersCA

Grants paid by Dox Foundation

EIN 82-1693892 · San Francisco, CA · Form 990-PF, Part XV · NTEE E70

Dox Foundation of San Francisco, CA (EIN 82-1693892) reported 9 grants paid totaling $42,000 to 9 recipients in tax years 2020–2024, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$42,000

9 grants

Recipients

9

distinct organizations

Tax years

2020–2024

4 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20206$0
20221$20,000
20231$20,000
20241$2,000

Top recipients

The 9 recipients receiving the most from Dox Foundation, by grants paid, out of 9 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
Care USAUAtlanta, GA1$20,0002022
Maven Project 46-5370676BSan Francisco, CA1$20,0002023
American Medical Women AssociationULexington, KY1$2,0002024
Wabi Sabi Health Foundation 82-4770485AWellington, FL1$02020
Black Men in White Coats Media 83-4079804AAustin, TX1$02020
Covidmd for the People 32-0556686ACulver City, CA1$02020
Student National Medic 52-0965479AWashington, DC1$02020
Naacp Ldf 13-1655255ANew York, NY1$02020
Savingmothersorg 26-3905821ANew York, NY1$02020

Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.

Every grant

All 9 grant rows this organization reported, most recent first.

Grants reported by Dox Foundation
Tax yearRecipientMatchAmountTypePurposeSource filing
2024American Medical Women Association Lexington, KYU$2,000paidSUPPORT ADVANCING WOMEN PHYSICIANS AND IMPROVING THE HEALTH OF WOMEN202533039349100503
2023Maven Project San Francisco, CAB$20,000paidSUPPORT CORRECTING SOCIAL, RACIAL, AND ECONOMIC INEQUITIES IN THE HEALTH CARE SYSTEM THROUGH THE POWER OF TELEMEDICINE.202433189349102143
2022Care USA Atlanta, GAU$20,000paidMEDICAL MISSION TRIPS202313129349100101
2020Naacp Ldf New York, NYA$0 + $25,000 non-cashpaidSUPPORT A SIMILAR CAUSE202112879349301796
2020Savingmothersorg New York, NYA$0 + $1,000 non-cashpaidSUPPORT A SIMILAR CAUSE202112879349301796
2020Covidmd for the People Culver City, CAA$0 + $5,000 non-cashpaidSUPPORT A SIMILAR CAUSE202112879349301796
2020Wabi Sabi Health Foundation Wellington, FLA$0 + $1,000 non-cashpaidSUPPORT A SIMILAR CAUSE202112879349301796
2020Student National Medic Washington, DCA$0 + $25,000 non-cashpaidSUPPORT A SIMILAR CAUSE202112879349301796
2020Black Men in White Coats Media Austin, TXA$0 + $10,000 non-cashpaidSUPPORT A SIMILAR CAUSE202112879349301796

Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.

Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.

Source filings

Every figure above is traceable to one of these IRS e-file returns by its OBJECT_ID.

Returns this page is derived from
FormTax yearPeriod endFiledSchemaIRS OBJECT_ID
990PF20242024-12-31not stated2024v5.2202533039349100503
990PF20232023-12-31not stated2023v5.1202433189349102143
990PF20222022-12-31not stated2022v5.0202313129349100101
99020202020-12-31not stated2020v4.1202112879349301796

Derived from IRS Form 990-PF e-file XML; recipient identities from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The same rows as Parquet: manifest; as JSON: /api/funders/821693892.json.

The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.

This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.