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· Public charity

River Cities United Way

River Cities United Way works with local agencies to advance the common good by creation opportunities for a good life in Mohave and LaPaz Counties AZ.

$137k
Granted FY2018
10
Grants FY2018
1
States reached
$27k
Largest
01What it funds
0195% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2019.

Human Services$90kFood & Nutrition$53kCrime & Legal$17kYouth Development$16kEducation$14kHousing & Shelter$11kOther$0
02FY2018 · 10 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 10 grants below total $100,745, the rows itemized in this filing. The $136,912 headline is the total grant expense on the return; the other $36,167 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 · FY2018

  • Under $10k7 grants · $50k
  • $10k–50k3 grants · $51k
$8,632
Median grant
1
States reached
$581k
Total assets
Largest grants
RecipientAmount
Interagency Council$26,656
Kingman Aid to Abused$13,326
Saint Mary's Food Bank$10,829
LHC Meals on wheels$9,721
Community Legal Svs$8,632
Boys & Girls Club of Kingman$8,001
AZ Board of Regents NAU$7,105
Kingman Area Food Bank$5,735
Cornerstone Mission$5,506
Salvation Army-KGM$5,234
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 (FY17–18, $38k) land where the poverty rate runs at 17%, against an area that typically sits at 9%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 9%Kingman Aid to Abused: $13k → 17%Kingman Aid to Abused: $13k → 17%Cornerstone Mission: $6k → 17%Cornerstone Mission: $6k → 17%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.

100%of every dollar goes to organizations it has funded before.
$201k · 10 repeat orgs$0 to everyone else

10 repeat relationships: 10 still active in FY2018, 0 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

10
0

Total granted

$201k
$0

Still filing today

50%
0%

New vs renewed · share of each year

In FY2018, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’17’18
RenewedFirst-time

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

’17’18
Human ServicesCrime & LegalFood & NutritionOther
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

  • KA
    KINGMAN AID TO ABUSED PEOPLE
    2× · 2017–2018 · $27k · revenue +74%
  • CL
    COMMUNITY LEGAL SERVICES
    2× · 2017–2018 · $17k · revenue +57%
  • TC
    THE CLUB FOR YOUTH
    2× · 2017–2018 · $16k · revenue +516%

Funded once

    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 10 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)
    5/7
    Grantees still filing
    6/7
    Grew since first funded

    Where the money sits, by cause and then by grantee

    SOCIAL SERVICES INTERAGENCY COUNCIL OF LAKE HAVASU CITY INC: $53,312 · OtherSOCIAL SERVICES INTERAGENCY COUNCIL OF LAKE HAVASU CITY INCTHE SALVATION ARMY: $21,658 · OtherTHE SALVATION ARMYLHC Meals on wheels: $19,442 · OtherLHC Meals on wheelsTHE CLUB FOR YOUTH: $16,002 · OtherTHE CLUB FOR YOUTHNORTHERN ARIZONA UNIVERSITY: $14,210 · OtherNORTHERN ARIZONA UNIVERSITYKINGMAN AREA FOOD BANK: $11,470 · OtherKINGMAN AREA FOOD BANKKINGMAN AID TO ABUSED PEOPLE: $26,652 · Human ServicesKINGMAN AID TO ABUSED…Cornerstone Mission Project Inc: $11,012 · Human ServicesCornerstone Mission P…COMMUNITY LEGAL SERVICES: $17,264 · Crime & LegalCOMMUNITY…ST MARY'S FOOD BANK ALLIANCE: $10,468 · Food & Nutrition
    Other$136,094Human Services$37,664Crime & Legal$17,264Food & Nutrition$10,468

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

    25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetSOCIAL SERVICES INTERAGENCY COUNCIL OF LAKE HAVASU CITY INC: $53,312 over 2y, 0.9% of budgetKINGMAN AID TO ABUSED PEOPLE: $26,652 over 2y, 2.4% of budgetCOMMUNITY LEGAL SERVICES: $17,264 over 2y, 0.1% of budgetTHE CLUB FOR YOUTH: $16,002 over 2y, 2.4% of budgetKINGMAN AREA FOOD BANK: $11,470 over 2y, 0.3% of budgetCornerstone Mission Project Inc: $11,012 over 2y, 1.1% of budgetST MARY'S FOOD BANK ALLIANCE: $10,468 over 2y, 0.0% 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.

    St Mary's Food Bank AllianceAZ15.6× affinity5 shared granteesties to 4 of 4Hover any node to trace its alignments.Compare side by side →

    Open a dossier: St Mary's Food Bank Alliance · Kingman Healthcare Inc · American Woodmark Foundation Inc · Arizona Community Foundation · 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 River Cities United Way funds: left to right is the share of its income from government, bottom to top the share from River Cities United Way. Bigger dots raise more.

    2025
    ’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.
      05Through Plinth

      Warm introductions · Powered by PlinthPlus

      How do I get to River Cities United Way?

      Find your warmest path to River Cities United Way 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 10 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 2018, released 2018. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

      Possibly out of date. A more recent filing (FY2023) is on record and reports no grant expense, so the figures above are from FY2018, the most recent year this funder made grants.

      Source object · view filing

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