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FundersNY

Grants paid by Amelia G Jachym Scholarship Fund

EIN 11-2599257 · NY · Form 990-PF, Part XV

Amelia G Jachym Scholarship Fund of NY (EIN 11-2599257) reported 10 grants paid totaling $45,874 to 7 recipients in tax years 2021–2024, on Form 990-PF, Part XV. It also reported $25,000 approved for future payment, which is listed separately and not included in the total. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$45,874

10 grants

Recipients

7

distinct organizations

Tax years

2021–2024

3 filings in the corpus

Approved for future payment

$25,000

4 commitments · not included in grants paid

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20215$22,500$22,500
20233$12,500$2,500
20242$10,874

Top recipients

The 7 recipients receiving the most from Amelia G Jachym Scholarship Fund, by grants paid, out of 7 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
Jared NoblesUSouth Dayton, NY3$12,5002024
Succeeding Public CharityUJamestown, NY1$8,3742024
Katelyn MillerUCherry Creek, NY2$7,5002023
Madisyn HermanUCherry Creek, NY1$5,0002021
Heidi MossUConewango Valley, NY1$5,0002021
Molly SunickUCherry Creek, NY1$5,0002023
Zoe NelsonUGerry, NY1$2,5002021

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 Amelia G Jachym Scholarship Fund
Tax yearRecipientMatchAmountTypePurposeSource filing
2024Succeeding Public Charity Jamestown, NYU$8,374paidSCHOLARSHIP202441639349101419
2024Jared Nobles South Dayton, NYU$2,500paidSCHOLARSHIP202441639349101419
2023Molly Sunick Cherry Creek, NYU$5,000paidSCHOLARSHIP202323179349103387
2023Jared Nobles South Dayton, NYU$5,000paidSCHOLARSHIP202323179349103387
2023Jared Nobles South Dayton, NYU$2,500approved, futureSCHOLARSHIP202323179349103387
2023Katelyn Miller Cherry Creek, NYU$2,500paidSCHOLARSHIP202323179349103387
2021Jared Nobles South Dayton, NYU$12,500approved, futureSCHOLARSHIP202211109349100216
2021Katelyn Miller Cherry Creek, NYU$7,500approved, futureSCHOLARSHIP202211109349100216
2021Katelyn Miller Cherry Creek, NYU$5,000paidSCHOLARSHIP202211109349100216
2021Madisyn Herman Cherry Creek, NYU$5,000paidSCHOLARSHIP202211109349100216
2021Jared Nobles South Dayton, NYU$5,000paidSCHOLARSHIP202211109349100216
2021Heidi Moss Conewango Valley, NYU$5,000paidSCHOLARSHIP202211109349100216
2021Zoe Nelson Gerry, NYU$2,500paidSCHOLARSHIP202211109349100216
2021Heidi Moss Conewango Valley, NYU$2,500approved, futureSCHOLARSHIP202211109349100216

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
990PF20242024-01-31not stated2023v5.0202441639349101419
990PF20232023-08-31not stated2022v5.0202323179349103387
990PF20212021-08-31not stated2020v4.1202211109349100216

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/112599257.json.

The same organization elsewhere in the program: exempt status and filing health · 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.