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FundersFL

Grants paid by Dr Kalpesh and Dipti Patel Foundation

EIN 85-6690075 · FL · Form 990-PF, Part XV

Dr Kalpesh and Dipti Patel Foundation of FL (EIN 85-6690075) reported 14 grants paid totaling $41,250 to 13 recipients in tax years 2022–2024, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$41,250

14 grants

Recipients

13

distinct organizations

Tax years

2022–2024

3 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20227$16,000
20236$22,500
20241$2,750

Top recipients

The 13 recipients receiving the most from Dr Kalpesh and Dipti Patel Foundation, by grants paid, out of 13 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
Akshaya Patra Foundation USA 01-0574950BFreemont, CA2$9,0002023
Academy at the Lakes 59-3592809BLand Olakes, FL1$5,0002023
Doctors Without BordersUNew York, NY1$4,0002023
Habitat for Humanity InternationalUAmericus, GA1$3,5002023
Sewa International Inc 20-0638718CHouston, TX1$3,0002023
Unicef USAUNew York, NY1$3,0002023
Leukemia & Lymphoma SocietyUPort Chester, NY1$2,7502024
AatlUGolden, CO1$2,0002022
BapsURobbinsville, NJ1$2,0002022
UnicefUNew York, NY1$2,0002022
SevaUBerkeley, CA1$2,0002022
The Salvation ArmyUTampa, FL1$2,0002022
Habitat for HumanityUAmericus, GA1$1,0002022

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 14 grant rows this organization reported, most recent first.

Grants reported by Dr Kalpesh and Dipti Patel Foundation
Tax yearRecipientMatchAmountTypePurposeSource filing
2024Leukemia & Lymphoma Society Port Chester, NYU$2,750paidGIFT202523219349105237
2023Academy at the Lakes Land Olakes, FLB$5,000paidGIFT202531219349100113
2023Akshaya Patra Foundation USA Freemont, CAB$4,000paidGIFT202531219349100113
2023Doctors Without Borders New York, NYU$4,000paidGIFT202531219349100113
2023Habitat for Humanity International Americus, GAU$3,500paidGIFT202531219349100113
2023Unicef USA New York, NYU$3,000paidGIFT202531219349100113
2023Sewa International Inc Houston, TXC$3,000paidGIFT202531219349100113
2022Akshaya Patra Freemont, CAD$5,000paidGIFT202322869349100307
2022The Salvation Army Tampa, FLU$2,000paidGIFT202322869349100307
2022Unicef New York, NYU$2,000paidGIFT202322869349100307
2022Seva Berkeley, CAU$2,000paidGIFT202322869349100307
2022Aatl Golden, COU$2,000paidGIFT202322869349100307
2022Baps Robbinsville, NJU$2,000paidGIFT202322869349100307
2022Habitat for Humanity Americus, GAU$1,000paidGIFT202322869349100307

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
990PF20242024-12-27not stated2024v5.2202523219349105237
990PF20232023-12-31not stated2023v6.0202531219349100113
990PF20222022-12-31not stated2022v5.0202322869349100307

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/856690075.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.