· Public charity
Fraternal Order of Police Tucson Lodge N
The FRATERNAL ORDER OF POLICE TUCSON LODGE No.
What you funded, over time
By grantee IRS cause code (NTEE).
A cause breakdown isn’t shown here: 63% of FRATERNAL ORDER OF POLICE TUCSON LODGE N’s grantee dollars fall outside its nine largest cause areas, whether because the recipient carries no IRS cause code or because its cause sits in the long tail. A chart would be mostly one residual band and misrepresent the portfolio.
Where the money goes
Your grants by size, and where they go.
The 5 grants below total $47,835 — the rows itemised in this filing. The $91,689 headline is the total grant expense reported on the return, so the remaining $43,854 is giving the schedule does not break out: grants under the $5,000 itemisation floor, grants to individuals, and grants reported on other schedules. Every figure below describes the itemised rows only.
By grant size · FY2025
- Under $10k2 grants · $15k
- $10k–50k3 grants · $33k
| Recipient | Amount |
|---|---|
| ERIK HITE FOUNDATION | $12,800 |
| FRATERNAL ORDER OF POLICE GRAND LODGE FOUNDATION | $10,200 |
| HEARTS OF GOLD POLICE FAMILY OUTREACH FOUNDATION | $10,000 |
| SPECIAL OLYMPICS ARIZONA | $7,635 |
| BURLINTON STORES CHARITABLE FOUNDATION | $7,200 |
Do your dollars go where the need is?
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Your human-services grants (FY19–25, $97k) land where the poverty rate runs at 15%, against an area that typically sits at 9%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.
US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.
Who you back again
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
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
Organizations
Total granted
Median revenue growth · since first grant
Still filing today
New vs renewed · share of each year
In FY2025, 69% of grant dollars renewed an existing relationship; $15k went to new ones.
Where new relationships form · theme of each grantee’s first grant
First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). 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
- NFNATIONAL FRATERNAL ORDER OF POLICE8× · 2018–2025 · $101k · revenue +22%
- EHERIK HITE FOUNDATION INC7× · 2019–2025 · $97k · revenue +140%
- HOHEARTS OF GOLD POLICE FAMILY OUTREACH FOUNDATION3× · 2023–2025 · $30k · revenue +20%
Funded once
- FOFRATERNAL ORDER OF POLICE ARIZONAgraduatedone grant, 2022 · $51k · revenue +78%
- FOFraternal Order of Policeone grant, 2021 · $10k · revenue -20%
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
7 grantees tracked through their own filings, 2017–2025.
Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.
Counted here: distinct organizations you funded across 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
Go grantee by grantee — a decade per org, and how each moved after you funded them
A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.
- Who funds NATIONAL FRATERNAL ORDER OF POLICE ↗
- Who funds ERIK HITE FOUNDATION INC ↗
- Who funds FRATERNAL ORDER OF POLICE ARIZONA ↗
- Who funds HEARTS OF GOLD POLICE FAMILY OUTREACH FOUNDATION ↗
- Who funds Fraternal Order of Police ↗
- Who funds SPECIAL OLYMPICS ARIZONA INC ↗
- Who funds BURLINGTON STORES CHARITABLE FOUNDATION ↗
Government reliance of your grantees
Every dot is one organization Fraternal Order of Police Tucson Lodge N funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.
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 your grant caused the public funding. Coverage is precision-first — a floor, not 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 12–24 months.
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How do I get to Fraternal Order of Police Tucson Lodge N?
Find your warmest path to Fraternal Order of Police Tucson Lodge N 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.