Funders › CO › Colorado Coalition of Land Trusts › 2022
Grants paid by Colorado Coalition of Land Trusts, tax year 2022
EIN 84-1355809 · Lakewood, CO · Form 990, Schedule I · NTEE C033
In tax year 2022, Colorado Coalition of Land Trusts (EIN 84-1355809) reported 6 grants paid totaling $361,875. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2022
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2022 | Colorado Cattlemen's Agricultural Land Trust Denver, CO | A | $159,900 | paid | 202322869349301957 | |
| 2022 | Rio Grande Headwaters Land Trust Del Norte, CO | A | $50,000 | paid | CONSERVATION PROJECT | 202322869349301957 |
| 2022 | La Plata Open Space Conservancy Durango, CO | A | $50,000 | paid | CONSERVATION PROJECT | 202322869349301957 |
| 2022 | Colorado West Land Trust Grand Junction, CO | A | $49,492 | paid | CONSERVATION PROJECT | 202322869349301957 |
| 2022 | Palmer Land Conservancy Colorado Springs, CO | A | $38,900 | paid | CONSERVATION PROJECT | 202322869349301957 |
| 2022 | Mountain Area Land Trust Evergreen, CO | A | $13,583 | paid | CONSERVATION PROJECT | 202322869349301957 |
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.
Derived from IRS Form 990 e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.
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.