funder-graph

FundersWI

Grants paid by Florence Lindsay Tw

EIN 23-7137537 · Milwaukee, WI · Form 990-PF, Part XV

Florence Lindsay Tw of Milwaukee, WI (EIN 23-7137537) reported 14 grants paid totaling $128,000 to 3 recipients in tax years 2019–2025, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$128,000

14 grants

Recipients

3

distinct organizations

Tax years

2019–2025

7 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20192$20,000
20202$20,000
20212$20,000
20222$20,000
20232$16,000
20242$16,000
20252$16,000

Top recipients

The 3 recipients receiving the most from Florence Lindsay Tw, by grants paid, out of 3 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
The University of Iowa Foundation 42-0796760CIowa City, IA7$64,0002025
Loras College 42-0680412CDubuque, IA6$56,0002024
Loras CollegeUDubuque, IA1$8,0002025

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 Florence Lindsay Tw
Tax yearRecipientMatchAmountTypePurposeSource filing
2025The University of Iowa Foundation Iowa City, IAC$8,000paidSCHOLARSHIP202532179349100723
2025Loras College Dubuque, IAU$8,000paidSCHOLARSHIP202532179349100723
2024Loras College Dubuque, IAC$8,000paidSCHOLARSHIP202402269349100415
2024The University of Iowa Foundation Iowa City, IAC$8,000paidSCHOLARSHIP202402269349100415
2023Loras College Dubuque, IAC$8,000paidSCHOLARSHIP202332219349100553
2023The University of Iowa Foundation Iowa City, IAC$8,000paidSCHOLARSHIP202332219349100553
2022The University of Iowa Foundation Iowa City, IAC$10,000paidSCHOLARSHIP202232169349101328
2022Loras College Dubuque, IAC$10,000paidSCHOLARSHIP202232169349101328
2021The University of Iowa Foundation Iowa City, IAC$10,000paidSCHOLARSHIP202122149349100757
2021Loras College Dubuque, IAC$10,000paidSCHOLARSHIP202122149349100757
2020Loras College Dubuque, IAC$10,000paidSCHOLARSHIP202022119349100112
2020The University of Iowa Foundation Iowa City, IAC$10,000paidSCHOLARSHIP202022119349100112
2019The University of Iowa Foundation Iowa City, IAC$10,000paidSCHOLARSHIP201902109349100725
2019Loras College Dubuque, IAC$10,000paidSCHOLARSHIP201902109349100725

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
990PF20252025-03-31not stated2024v5.2202532179349100723
990PF20242024-03-31not stated2023v5.1202402269349100415
990PF20232023-03-31not stated2022v5.0202332219349100553
990PF20222022-03-31not stated2021v4.1202232169349101328
990PF20212021-03-31not stated2020v4.1202122149349100757
990PF20202020-03-31not stated2019v5.0202022119349100112
990PF20192019-03-31not stated2018v3.0201902109349100725

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/237137537.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.