· Private foundation
Cari Beth's Blessings Inc
Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2023–2024.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2024
- Under $10k10 grants · $20k
- $10k–50k5 grants · $85k
- $50k–250k4 grants · $300k
| Recipient | Amount |
|---|---|
| HANOVER COLLEGE | $100,000 |
| ST VINCENT CHILDREN'S HOSPITAL | $100,000 |
| PMCH ACENSION ST VINCENT | $50,000 |
| TRUCKING CARES FOUNDATION OF ATA | $50,000 |
| AURORA UNITED METHODIST CHURCH | $25,350 |
| NEW HOPE CENTER | $25,000 |
| ASG FOUNDATION | $15,000 |
| THE BANK OF AMERICA CHARITABLE GIFT FUND | $10,000 |
| LAUREN'S FIGHT FOR A CURE | $10,000 |
| WREATHS ACROSS AMERICA | $9,148 |
| SOUTHEASTERN INDIANA TRUCK CONVOY FOR MAKE A WISH | $4,700 |
| YOUTH ENCOURAGEMENT SERVICES (YES HOME) | $2,500 |
| THE EVAN R HANSEN LEGACY FOUNDATION | $1,000 |
| RONALD MCDONALD HOUSE | $750 |
| DEARBORN COUTY 4H | $600 |
Do your dollars go where the need is?
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Dollar for dollar, your grants (FY23–24) land where the poverty rate runs at 14%, against an area that typically sits at 13%. 66% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.
Which US states your grants reach
US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.
The map has a center of gravity: the average direction from the rest of the sector toward the organizations the foundation funds — the shape of its giving. Scoring every nonprofit along that direction surfaces the ones that look most like the portfolio. These are the closest matchesthat aren’t grantees — a resemblance in what they say they do, not a recommendation.
Carry out the mission of dana college legacy of enabling students to attend a christian school of higher learning
Education
Financial aid to brain cancer patients
To honor those who have served us.
To award scholarships to individual students of families of massachusetts firefighters
To provide scholarships to students from hanover, ma
Folds of Honor, Georgia Chapter, provides the national organization with grant funds that provide recipients with higher education scholarships and children's fund scholarships for spouses and dependents for service members who were killed…
For reference, the grantee most central to the portfolio’s shape is Evan R Hansen Legacy Foundation and the most unlike its peers is Honor Flight Tri-State. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
8 grantees tracked through their own filings, 2017–2025.
Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.
Counted here: distinct organizations you funded across 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover. 8 of the 24 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
Go grantee by grantee — a decade per org, and how each moved after you funded them
A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.
The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a set of overlaps that mostly run through you, not between each other.
Open a dossier: Amazonsmile Foundation
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.
Government reliance of your grantees
Every dot is one organization Cari Beth's Blessings Inc funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.
Government income is each org’s traced federal awards (USASpending — grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that your grant caused the public funding. Coverage is precision-first — a floor, not a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12–24 months.
Warm introductions · Powered by PlinthPlus
How do I get to Cari Beth's Blessings Inc?
Find your warmest path to Cari Beth's Blessings Inc 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.