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The Hear Foundation at a glanceMostly funded, not a grantmaker: see who funds it →

· Public charity

The Hear Foundation

To convene, fund, and implement initiatives that build police and resident relationships and strengthens pittsburgh neighborhoods.

$263k
Granted FY2023
7
Grants FY2023
1
States reached
$200k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
01What it funds
01FY2023 · 7 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2023

  • Under $10k4 grants · $30k
  • $10k–50k2 grants · $33k
  • $50k–250k1 grant · $200k
$8,600
Median grant
1
States reached
$404k
Total assets
Largest grants
RecipientAmount
New Sun Rising$200,000
A Schools$21,600
Center for Victims$10,930
The Pittsburgh Contingency$8,600
Hope for Tomorrow$8,600
Youth Enrichment Services$7,300
Imagine Further Collective$5,500
02The need
02

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, $218k) land where the poverty rate runs at 11%, against an area that typically sits at 14%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 14%Youth Enrichment Services: $7k → 11%Center for Victims: $11k → 11%New Sun Rising: $200k → 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
03the grantee network

7 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.

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)
7/7
Grantees still filing
5/7
Grew since first funded

Where the money sits, by cause and then by grantee

NEW SUN RISING: $200,000 · Human ServicesNEW SUN RISINGCENTER FOR VICTIMS: $10,930 · Human ServicesYOUTH ENRICHMENT SERVICES INC: $7,300 · Human ServicesA SCHOOLS PITTSBURGH'S COMMUNITY ALLIANCE FOR PUBLIC EDUCATION: $21,600 · EducationA SCHOOLS PIT…THE PITTSBURGH CONTINGENCY INC: $8,600 · EducationTHE PITTSBURG…HOPE FOR TOMORROW INC: $8,600 · Youth DevelopmentIMAGINE FURTHER COLLECTIVE INC: $5,500 · Health
Human Services$218,230Education$30,200Youth Development$8,600Health$5,500

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

25%50%75%100%grantee revenue →↑ funder's share of their budgetNEW SUN RISING: $200,000 over 1y, 5.6% of budgetA SCHOOLS PITTSBURGH'S COMMUNITY ALLIANCE FOR PUBLIC EDUCATION: $21,600 over 1y, 0.7% of budgetCENTER FOR VICTIMS: $10,930 over 1y, 0.2% of budgetTHE PITTSBURGH CONTINGENCY INC: $8,600 over 1y, 0.3% of budgetYOUTH ENRICHMENT SERVICES INC: $7,300 over 1y, 0.5% 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.

The Pittsburgh Founda…The Grable FoundationVirginia a McKee for …Poise FoundationRichard King Mellon F…The Heinz EndowmentsAmazonsmile Foundation
The Pittsburgh FoundationPA19.3× affinity7 shared granteesties to 6 of 6Hover any node to trace its alignments.Compare side by side →

Open a dossier: The Pittsburgh Foundation · The Grable Foundation · Virginia a McKee for Poor Fund · Poise Foundation · Richard King Mellon Foundation · The Heinz Endowments · 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 Hear Foundation funds: left to right is the share of its income from government, bottom to top the share from The Hear Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%1%3%6%10%funder's share of their income ↑0%13%25%38%50%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 · 0–50%
    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 7 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 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2025) is on record and reports no grant expense, so the figures above are from FY2023, the most recent year this funder made grants.

    Source object · view filing

    Play a game based on Hear’s filings →

    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home