Grants paid by 84000
EIN 45-4302237 · Boulder, CO · Form 990, Schedule I · NTEE X80
84000 of Boulder, CO (EIN 45-4302237) reported 7 grants paid totaling $231,967 to 6 recipients in tax years 2020–2024, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$231,967
7 grants
Recipients
6
distinct organizations
Tax years
2020–2024
3 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2020 | 2 | $72,731 | — |
| 2022 | 4 | $111,236 | — |
| 2024 | 1 | $48,000 | — |
Top recipients
The 6 recipients receiving the most from 84000, by grants paid, out of 6 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Tibetan Classics Translators Guild of New York 13-3279608 | A | New York, NY | 2 | $99,910 | 2022 |
| Dinner Technologies Inc 92-2560495 | A | Fort Lauderdale, FL | 1 | $48,000 | 2024 |
| Tsechen Kunchab Ling 16-1605656 | A | Walden, NY | 1 | $28,151 | 2022 |
| Regents of the University of California Santa Barbara 94-3067788 | A | Santa Barbara, CA | 1 | $25,000 | 2022 |
| UW-Madison 39-6006492 | A | Madison, WI | 1 | $25,000 | 2022 |
| Samye 26-1348062 | A | Coopertown, NY | 1 | $5,906 | 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 7 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | Dinner Technologies Inc Fort Lauderdale, FL | A | $48,000 | paid | TECHNOLOGY DEVELOPMENT SERVICES | 202513179349304161 |
| 2022 | Tibetan Classics Translators Guild of New York New York, NY | A | $33,085 | paid | TRANSLATIONS OF TIBETAN KANGYUR TEXTS INTO ENGLISH | 202343179349310199 |
| 2022 | Tsechen Kunchab Ling Walden, NY | A | $28,151 | paid | TRANSLATIONS OF TIBETAN KANGYUR TEXTS INTO ENGLISH | 202343179349310199 |
| 2022 | UW-Madison Madison, WI | A | $25,000 | paid | TRANSLATIONS OF TIBETAN KANGYUR TEXTS INTO ENGLISH | 202343179349310199 |
| 2022 | Regents of the University of California Santa Barbara Santa Barbara, CA | A | $25,000 | paid | TRANSLATIONS OF TIBETAN KANGYUR TEXTS INTO ENGLISH | 202343179349310199 |
| 2020 | Tibetan Classics Translators Guild of New York New York, NY | A | $66,825 | paid | TRANSLATIONS OF TIBETAN KANGYUR TEXTS INTO ENGLISH | 202113149349302566 |
| 2020 | Samye Coopertown, NY | A | $5,906 | paid | TRANSLATIONS OF TIBETAN KANGYUR TEXTS INTO ENGLISH | 202113149349302566 |
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 | 2024 | 2024-12-31 | not stated | 2024v5.2 | 202513179349304161 |
| 990 | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202343179349310199 |
| 990 | 2020 | 2020-12-31 | not stated | 2020v4.1 | 202113149349302566 |
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/454302237.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.