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· Private foundation

The Doolittle Family Foundation

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.

$400
Granted FY2024still arriving
2
Grants FY2024still arriving
1
States reached
$300
Largest
01What it funds
0189% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2019 to 2024.

Food & Nutrition$700Health$650Youth Development$650Education$500Public Safety & Disaster$300Environment$200Housing & Shelter$150Human Services$130Other$0
02FY2024 · 2 grants

Where the money goes

Grants by size, and the largest recipients.

$300
Median grant
1
States reached
$300
Total assets
Largest grants
RecipientAmount
SIERRA WILDFIRE RELIEF RECOVERY INC$300
UNITED WAY$100
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 (FY20–21, $600) land where the poverty rate runs at 11%, against an area that typically sits at 11%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 11%BRIGHT FUTURES FOR YOUTH: $500 → 11%ONE SOURCE EMPOWERING CAREGIVERS: $100 → 11%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
04the grantee network

6 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. 6 of the 18 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)
3
Early backer (in before they grew)
6/6
Grantees still filing
5/6
Grew since first funded

Where the money sits, by cause and then by grantee

Individual grant recipient: $5,000 · OtherIndividual grant recipientSALUD HONDU MEDICAL CLINIC: $500 · OtherSALUD HONDU MEDICAL CLINICSOL LEARNING INSTITUTE: $500 · OtherSOL LEARNING INSTITUTESIERRA WILDFIRE RELIEF RECOVERY INC: $300 · Other+8 more: $680 · Other+8 moreFood Bank of Nevada County: $600 · Food & NutritionBRIGHT FUTURES FOR YOUTH: $500 · Human ServicesONE SOURCE - EMPOWERING CAREGIVERS: $100 · Human Services4 Elements Earth Education Inc: $200 · Youth DevelopmentUNITED WAY INC: $100 · PhilanthropySALUD HONDU INC: $50 · Health
Other$6,980Food & Nutrition$600Human Services$600Youth Development$200Philanthropy$100Health$50

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

25%50%75%100%$100k$1.0M$10Mgrantee revenue →↑ funder's share of their budgetFood Bank of Nevada County: $600 over 2y, 0.0% of budgetBRIGHT FUTURES FOR YOUTH: $500 over 1y, 0.0% of budget4 Elements Earth Education Inc: $200 over 1y, 0.1% of budgetUNITED WAY INC: $100 over 1y, 0.0% of budgetONE SOURCE - EMPOWERING CAREGIVERS: $100 over 1y, 0.4% of budgetSALUD HONDU INC: $50 over 1y, 0.1% 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.

  • Who funds Food Bank of Nevada County ↗
  • Who funds BRIGHT FUTURES FOR YOUTH ↗
  • Who funds 4 Elements Earth Education Inc ↗
  • Who funds UNITED WAY INC ↗
  • Who funds ONE SOURCE - EMPOWERING CAREGIVERS ↗
  • Who funds SALUD HONDU INC ↗

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.

Donor Advised Charitable Giving IncCO6.5× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 The Doolittle Family Foundation funds: left to right is the share of its income from government, bottom to top the share from The Doolittle Family Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%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
    0get no government money at all
    3report government grants on their 990 we could not trace to a source (not plotted)
    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.

    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 18 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-PF 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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