funder-graph

FundersDCRachel's Network Inc › 2018

Grants paid by Rachel's Network Inc, tax year 2018

EIN 31-1644905 · Washington, DC · Form 990, Schedule I · NTEE M99

In tax year 2018, Rachel's Network Inc (EIN 31-1644905) reported 8 grants paid totaling $166,500. Dataset version 2026.09.0, built 2026-09-03.

201820202022202320242025

Every grant, 2018

Grants reported by Rachel's Network Inc for tax year 2018
Tax yearRecipientMatchAmountTypePurposeSource filing
2018Texas Civil Rights Project Austin, TXA$25,000paidLANDOWNER RIGHTS201932199349300168
2018Ucsf Foundation San Francisco, CAA$25,000paidDOCUMENTS ARCHIVE201932199349300168
2018As You Sow Oakland, CAA$22,500paidADVOCACY PROGRAM201932199349300168
2018George Mason University Foundation Fairfax, VAA$22,000paidCLIMATE ORGANIZING201932199349300168
2018Deploy-US Lexington, MAA$22,000paidCLIMATE ORGANIZING201932199349300168
2018Evangelical Environmental Network Indianapolis, INA$22,000paidCLIMATE ORGANIZING201932199349300168
2018Ashoka Arlington, VAA$15,000paidWOMEN'S LEADERSHIP201932199349300168
2018Women Food and Agriculture Network Story City, IAA$13,000paidWOMEN'S LEADERSHIP201932199349300168

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.