funder-graph

FundersWI

Grants paid by O J Noer Research Foundation Inc

EIN 36-2672850 · WI · Form 990, Schedule I

O J Noer Research Foundation Inc of WI (EIN 36-2672850) reported 16 grants paid totaling $54,150 to 8 recipients in tax years 2018–2019, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$54,150

16 grants

Recipients

8

distinct organizations

Tax years

2018–2019

2 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20188$24,000
20198$30,150

Top recipients

The 8 recipients receiving the most from O J Noer Research Foundation Inc, by grants paid, out of 8 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
Rutgers U 22-6001086ANew Brunswick, NJ2$47,1502019
Mi State University 38-6005984AEast Lansing, MI2$7,0002019
U of Connecticut 06-0772160AStorrs Mansfield, CT2$02019
Mississippi State U 64-6001819AMississippi State, MS2$02019
Purdue University 35-6002041AWest Lafayette, IN2$02019
U of Kentucky 61-6001218ALexington, KY2$02019
U of Wisconsin 39-6006492AMadison, WI2$02019
Penn State U 24-6000376AUniversity Park, PA2$02019

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 16 grant rows this organization reported, most recent first.

Grants reported by O J Noer Research Foundation Inc
Tax yearRecipientMatchAmountTypePurposeSource filing
2019Rutgers U New Brunswick, NJA$24,150paidTURFGRASS RESEARCH202021509349300937
2019Mi State University East Lansing, MIA$6,000paidLIBRARY COLLECTIO202021509349300937
2019U of Kentucky Lexington, KYA$0paid202021509349300937
2019Mississippi State U Mississippi State, MSA$0paid202021509349300937
2019U of Connecticut Storrs Mansfield, CTA$0paidTURFGRASS RESEARCH202021509349300937
2019Penn State U University Park, PAA$0paid202021509349300937
2019Purdue University West Lafayette, INA$0paidTURFGRASS RESEARCH202021509349300937
2019U of Wisconsin Madison, WIA$0paidTURFGRASS RESEARCH202021509349300937
2018Rutgers U New Brunswick, NJA$23,000paidTURFGRASS RESEARCH201921839349300807
2018Mi State University East Lansing, MIA$1,000paidLIBRARY COLLECTIO201921839349300807
2018U of Connecticut Storrs Mansfield, CTA$0paidTURFGRASS RESEARCH201921839349300807
2018Penn State U University Park, PAA$0paid201921839349300807
2018Purdue University West Lafayette, INA$0paidTURFGRASS RESEARCH201921839349300807
2018U of Kentucky Lexington, KYA$0paid201921839349300807
2018Mississippi State U Mississippi State, MSA$0paid201921839349300807
2018U of Wisconsin Madison, WIA$0paidTURFGRASS RESEARCH201921839349300807

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
99020192019-12-31not stated2019v5.1202021509349300937
99020182018-12-31not stated2018v3.1201921839349300807

Derived from IRS Form 990 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/362672850.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.