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· Public charity

Tails of Joy

TAILS OF JOY rescues animals all across the country and beyond.

$142k
Granted FY2024still arriving
5
Grants FY2024still arriving
3
States reached
$96k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2022 to 2024.

Animals$367k
02FY2024 · 5 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 5 grants below total $128,442, the rows itemized in this filing. The $142,201 headline is the total grant expense on the return; the other $13,759 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2024

  • Under $10k3 grants · $23k
  • $10k–50k1 grant · $10k
  • $50k–250k1 grant · $96k
$8,000
Median grant
3
States reached
$890k
Total assets
Largest grants
RecipientAmount
MISCELLANEOUS ORG-SEE PART IV$95,542
NORTHEAST BOSTON TERRIER RESCUE$10,000
BADASS ANIMAL RESCUE$8,000
PEACE4PAWS$7,500
BAJA ANIMAL SANCTUARY$7,400
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Its human-services grants (FY23–23, $8k) land where the poverty rate runs at 13%, against an area that typically sits at 11%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%RESCUE DOGS RESCUE SOLDIERS: $8k → 13%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its field

Closest unfunded matches

The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. A resemblance in what they say they do, not a recommendation.

1
One Love Dog Rescue Inc

Rescue abandoned dogs from out of nys

Animals
2
St Clouds Rescue
Animals
3
Shelters and Shelves Rescue Inc

foster based dog rescue working with shelters to save dogs

Animals
4
Saved By Fate Inc

Dog rescue

Animals
5
Donna's Love Pet Rescue
Animals
6
Furever Bully Love Rescue

we rescue last chance shelter dogs that are scheduled to be euthanized

Animals
7
Raskels Rescue
Animals
8
Runaways Animal Rescue
Animals
9
Desert Dog Rescue Inc

Animal rescue

Animals
10
Washington Basset Rescue

Dog rescue

Animals
11
Asian Dogs Rescue Allies

To rescue at risk k-9s from asia.

Animals
12
Barking Mad Animal Rescue

Rescue abused & abandoned dogs, urgent at risk of euthanasia dogs, medical needs & hospice dogs to provide veterinary care, rehabilitation, and find homes for dogs that become adoptable. Sanctuary til end of life is provided for those not…

Animals
How this is measured
The grantee most central to the portfolio’s shape is Peace4Paws Inc; the most unlike its peers is Baja Animal Sanctuary. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
04the grantee network

8 grantees tracked through their own filings, 2017–2025.

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 2025, not grant rows in a single year, so this will not match the grant count on the cover. 8 of the 13 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
8/8
Grantees still filing
4/8
Grew since first funded

Where the money sits, by cause and then by grantee

MISCELLANEOUS ORG-SEE PART IV: $266,831 · OtherMISCELLANEOUS ORG-SEE PART IV+4 more: $33,250 · Other+4 moreNORTHEAST BOSTON TERRIER RESCUE INC: $10,000 · AnimalsNORTHEAST BOSTON T…LINDA BLAIR WORLD HEART FOUNDATION: $10,000 · AnimalsLINDA BLAIR WORLD …CROSSING GUARDIANS: $9,000 · AnimalsCROSSING GUARDIANSBADASS ANIMAL RESCUE INC: $8,000 · AnimalsBADASS ANIMAL RESC…Peace4Paws Inc: $7,500 · AnimalsPeace4Paws IncLAYLAS HEART RANCH AND RESCUE: $7,500 · AnimalsLAYLAS HEART RANCH…BAJA ANIMAL SANCTUARY: $7,400 · AnimalsBAJA ANIMAL SANCTU…RESCUE DOGS RESCUE SOLDIERS CORP: $7,500 · Human Services
Other$300,081Animals$59,400Human Services$7,500

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$100kgrantee revenue →↑ funder's share of their budgetNORTHEAST BOSTON TERRIER RESCUE INC: $10,000 over 1y, 6.6% of budgetLINDA BLAIR WORLD HEART FOUNDATION: $10,000 over 1y, 1.9% of budgetCROSSING GUARDIANS: $9,000 over 1y, 14% of budgetBADASS ANIMAL RESCUE INC: $8,000 over 1y, 1.3% of budgetPeace4Paws Inc: $7,500 over 1y, 3.4% of budgetLAYLAS HEART RANCH AND RESCUE: $7,500 over 1y, 3.8% of budgetRESCUE DOGS RESCUE SOLDIERS CORP: $7,500 over 1y, 5.4% of budgetBAJA ANIMAL SANCTUARY: $7,400 over 1y, 2.2% of budget
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.

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a tightly interlocked group: most of these funders back each other's grantees too.

Network for GoodDC10.1× affinity6 shared granteesties to 2 of 2Hover any node to trace its alignments.Compare side by side →

Open a dossier: Network for Good · Donor Advised Charitable Giving Inc · Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization Tails of Joy funds: left to right is the share of its income from government, bottom to top the share from Tails of Joy. Bigger dots raise more.

2023
’20’21’22’23’24’25
no gov · 10%1%4%8%15%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    1get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–25
    How this is measured
    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 a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Tails of Joy?

    Find your warmest path to Tails of Joy 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.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 13 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

    Generated from the IRS Form 990 e-file return for fiscal year 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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