· Public charity
All-Options
ALL-OPTIONS promotes unconditional, judgment-free support for the full spectrum of decisions and experiences with pregnancy, parenting, abortion and adoption.
Where the money goes
Grants by size, and the largest recipients.
| Recipient | Amount |
|---|---|
| HEART FOR WOMEN & GIRLS | $20,000 |
Does the money reach high-need areas?
Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.
Its human-services grants (FY23–23, $20k) land where the poverty rate runs at 14%, against an area that typically sits at 12%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.
How this is measured
How this is measured
2 grantees tracked through their own filings, 2017–2024.
Each grant beside the grantee’s revenue from every source, year by year.
How this is measured
Counted here: distinct organizations funded across 2017 to 2024, not grant rows in a single year, so this will not match the grant count on the cover.
Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.
Each grantee by its size and the funder’s share of it; top left is load-bearing
Grantee by grantee: a decade per organization, before and after funding
A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.
How much its grantees rely on government
Each dot is one organization All-Options funds: left to right is the share of its income from government, bottom to top the share from All-Options. Bigger dots raise more.
How this is measured
Warm introductions · Powered by PlinthPlus
How do I get to All-Options?
Find your warmest path to All-Options through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.
Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.