funder-graph

FundersFL

Grants paid by Dan Seligman Family Charitable Foundation Inc

EIN 65-0781900 · Lake Mary, FL · Form 990-PF, Part XV · NTEE T20Z

Dan Seligman Family Charitable Foundation Inc of Lake Mary, FL (EIN 65-0781900) reported 12 grants paid totaling $141,110 to 6 recipients in tax years 2018–2024, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$141,110

12 grants

Recipients

6

distinct organizations

Tax years

2018–2024

6 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20182$23,479
20195$52,896
20202$22,150
20211$10,130
20231$13,060
20241$19,395

Top recipients

The 6 recipients receiving the most from Dan Seligman Family Charitable Foundation Inc, by grants paid, out of 6 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
Canine Companions FundUOrlando, FL6$113,6102024
Temple Adath IsraelUCleveland, MS2$10,0002019
Make a Wish FoundationUMaitland, FL1$5,0002019
Runway to Hope Foundation 27-3272616DOrlando, FL1$5,0002020
Bolles School Foundation 59-0637814CJacksonville, FL1$5,0002019
Habitat for HumanityUAmericaus, GA1$2,5002019

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 12 grant rows this organization reported, most recent first.

Grants reported by Dan Seligman Family Charitable Foundation Inc
Tax yearRecipientMatchAmountTypePurposeSource filing
2024Canine Companions Fund Orlando, FLU$19,395paidCharitable202531359349102203
2023Canine Companions Fund Orlando, FLU$13,060paidCharitable202432629349100708
2021Canine Companions Fund Orlando, FLU$10,130paidCharitable202202069349100770
2020Canine Companions Fund Orlando, FLU$17,150paidCharitable202102799349100205
2020Runway to Hope Foundation Orlando, FLD$5,000paidCharitable202102799349100205
2019Canine Companions Fund Orlando, FLU$35,396paidCharitable202022189349100902
2019Make a Wish Foundation Maitland, FLU$5,000paidCharitable202022189349100902
2019Temple Adath Israel Cleveland, MSU$5,000paidReligious202022189349100902
2019Bolles School Foundation Jacksonville, FLC$5,000paidEducational202022189349100902
2019Habitat for Humanity Americaus, GAU$2,500paidCharitable202022189349100902
2018Canine Companions Fund Orlando, FLU$18,479paidCharitable201901719349100510
2018Temple Adath Israel Cleveland, MSU$5,000paidReligious201901719349100510

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 stated2024v5.1202531359349102203
990PF20232023-12-31not stated2023v5.1202432629349100708
990PF20212021-12-31not stated2021v4.0202202069349100770
990PF20202020-12-31not stated2020v4.0202102799349100205
990PF20192019-12-31not stated2019v5.0202022189349100902
990PF20182018-12-31not stated2018v3.1201901719349100510

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/650781900.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.