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Reading Hospital at a glanceMostly funded, not a grantmaker: see who funds it →

· Public charity

Reading Hospital

Website: www.towerhealth.org/locations/reading-hospital the mission of READING HOSPITAL is to provide compassionate, accessible, high-quality, cost-effective healthcare to the community; to promote health; to education healthcare professionals; and to participate in appropriate clinical research.

$111k
Granted FY2025still arriving
5
Grants FY2025still arriving
1
States reached
$66k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
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 2025.

Health$148kHuman Services$21kArts & Culture$11kCommunity Improvement$8kYouth Development$6kRecreation & Sports$6k
02FY2025 · 5 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 5 grants below total $89,510, the rows itemized in this filing. The $111,182 headline is the total grant expense on the return; the other $21,672 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 · FY2025

  • Under $10k3 grants · $13k
  • $10k–50k1 grant · $10k
  • $50k–250k1 grant · $66k
$6,270
Median grant
1
States reached
$995M
Total assets
Largest grants
RecipientAmount
TOWER HEALTH MEDICAL GROUP$66,240
REFRESH BERKS$10,000
READING SCIENCE CENTER$6,270
CO-COUNTY WELLNESS SERVICES$6,000
SALVATION ARMY$1,000
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 (FY24–24, $8k) land where the poverty rate runs at 11%, against an area that typically sits at 8%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%CENTRO HISPANO DANIEL TORRES INC: $8k → 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 grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

79%of every dollar goes to organizations it has funded before.
$157k · 3 repeat orgs$43k to everyone else

Grantees it renews have grown median revenue +51% since the first grant, against +10% for those funded once.

3 repeat relationships: 3 still active in FY2025, 0 since wound down; 2 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

3
4

Total granted

$157k
$27k

Median revenue growth · since first grant

+51%
+10%

Still filing today

67%
75%

New vs renewed · share of each year

In FY2025, 82% of grant dollars renewed an existing relationship; $16k went to new ones.

50%100%’22’23’24’25
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’22’23’24’25
Human ServicesArts & CultureHealthYouth DevelopmentOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • TH
    TOWER HEALTH MEDICAL GROUP
    4× · 2022–2025 · $142k · revenue -4%
  • RS
    READING SCIENCE CENTER
    2× · 2024–2025 · $11k · revenue +51%
  • TS
    THE SALVATION ARMY
    3× · 2023–2025 · $4k

Funded once

  • GR
    GREATER READING CHAMBER OF COMMERCE & INDUSTRY
    one grant, 2023 · $8k · revenue +10%
  • CH
    CENTRO HISPANO DANIEL TORRES INC
    one grant, 2024 · $8k · revenue -14%
  • OB
    OLIVET BOYS' & GIRLS' CLUB OF READING AND BERKS COUNTY PA
    one grant, 2023 · $6k · revenue +11%
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its field
04the 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. 7 of the 9 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)
7/7
Grantees still filing
3/7
Grew since first funded

Where the money sits, by cause and then by grantee

TOWER HEALTH MEDICAL GROUP: $142,280 · OtherTOWER HEALTH MEDICAL GROUPGREATER READING CHAMBER OF COMMERCE & INDUSTRY: $7,500 · OtherREADING REBELS LLC: $5,500 · Other+1 more: $3,500 · OtherRefresh Berks: $10,000 · Human ServicesRefresh B…CENTRO HISPANO DANIEL TORRES INC: $7,500 · Human ServicesCENTRO HI…READING SCIENCE CENTER: $11,350 · Arts & CultureOLIVET BOYS' & GIRLS' CLUB OF READING AND BERKS COUNTY PA: $6,000 · Youth DevelopmentCo County Wellness Services DBA Berks Aids Network: $6,000 · Health
Other$158,780Human Services$17,500Arts & Culture$11,350Youth Development$6,000Health$6,000

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

25%50%75%100%$100k$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetTOWER HEALTH MEDICAL GROUP: $142,280 over 4y, 0.0% of budgetREADING SCIENCE CENTER: $11,350 over 2y, 1.1% of budgetRefresh Berks: $10,000 over 1y, 12% of budgetGREATER READING CHAMBER OF COMMERCE & INDUSTRY: $7,500 over 1y, 0.4% of budgetCENTRO HISPANO DANIEL TORRES INC: $7,500 over 1y, 0.2% of budgetOLIVET BOYS' & GIRLS' CLUB OF READING AND BERKS COUNTY PA: $6,000 over 1y, 0.2% of budgetCo County Wellness Services DBA Berks Aids Network: $6,000 over 1y, 0.3% 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.

United Way of Berks C…The Breidegam Family …Berks County Communit…Amazonsmile Foundation
United Way of Berks County IncPA13.6× affinity4 shared granteesties to 3 of 3Hover any node to trace its alignments.Compare side by side →

Open a dossier: United Way of Berks County Inc · The Breidegam Family Foundation · Berks County Community Foundation 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 Reading Hospital funds: left to right is the share of its income from government, bottom to top the share from Reading Hospital. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%1%4%8%15%funder's share of their income ↑0%10%20%30%40%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    2report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–40%
    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 9 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

    Play a game based on Reading Hospital’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