Grants paid by Unavco Inc
EIN 84-1588357 · CO · Form 990, Schedule I
Unavco Inc of CO (EIN 84-1588357) reported 9 grants paid totaling $773,259 to 6 recipients in tax years 2020–2022, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$773,259
9 grants
Recipients
6
distinct organizations
Tax years
2020–2022
2 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2020 | 4 | $292,459 | — |
| 2022 | 5 | $480,800 | — |
Top recipients
The 6 recipients receiving the most from Unavco Inc, by grants paid, out of 6 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Massachusetts Institute of Technology 04-2103594 | A | Cambridge, MA | 2 | $239,562 | 2022 |
| Central Washington University 91-6000618 | A | Ellensburg, WA | 2 | $224,008 | 2022 |
| Iris 52-1362650 | A | Washington, DC | 1 | $191,075 | 2022 |
| Carleton College 41-0694747 | A | Northfiled, MN | 2 | $82,482 | 2022 |
| University of Colorado Boulder 84-6000555 | A | Denver, CO | 1 | $28,748 | 2022 |
| New Mexico Tech 85-6000411 | A | Socorro, NM | 1 | $7,384 | 2020 |
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 9 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2022 | Iris Washington, DC | A | $191,075 | paid | SUPPORT FOR THE GEODETIC FACILITY FOR THE ADVANCEMENT OF GEOSCIENCE | 202323129349302337 |
| 2022 | Central Washington University Ellensburg, WA | A | $114,782 | paid | GEODETIC RESEARCH | 202323129349302337 |
| 2022 | Massachusetts Institute of Technology Cambridge, MA | A | $113,157 | paid | SUPPORT FOR THE GEODETIC FACILITY FOR THE ADVANCEMENT OF GEOSCIENCE | 202323129349302337 |
| 2022 | Carleton College Northfiled, MN | A | $33,038 | paid | SCIENTIFIC & EDUCATIONAL RESEARCH | 202323129349302337 |
| 2022 | University of Colorado Boulder Denver, CO | A | $28,748 | paid | GEODETIC RESEARCH | 202323129349302337 |
| 2020 | Massachusetts Institute of Technology Cambridge, MA | A | $126,405 | paid | SUPPORT FOR THE GEODETIC FACILITY FOR THE ADVANCEMENT OF GEOSCIENCE | 202133199349322723 |
| 2020 | Central Washington University Ellensburg, WA | A | $109,226 | paid | GEODETIC RESEARCH | 202133199349322723 |
| 2020 | Carleton College Northfield, MN | A | $49,444 | paid | SCIENTIFIC & EDUCATIONAL RESEARCH | 202133199349322723 |
| 2020 | New Mexico Tech Socorro, NM | A | $7,384 | paid | GEODETIC RESEARCH | 202133199349322723 |
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.
| Form | Tax year | Period end | Filed | Schema | IRS OBJECT_ID |
|---|---|---|---|---|---|
| 990 | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202323129349302337 |
| 990 | 2020 | 2020-12-31 | not stated | 2020v4.1 | 202133199349322723 |
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/841588357.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.