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· Public charity

Woodmen of the World SETX Youth Association

Aide WoodmenLife member chapter units by recruiting and training willing and qualified officers, sales force members, and chapter members.

$1.2M
Granted FY2023
30
Grants FY2023
1
States reached
$150k
Largest
01What it funds
01FY2023 · 30 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 30 grants below total $985,276, the rows itemized in this filing. The $1,151,339 headline is the total grant expense on the return; the other $166,063 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 · FY2023

  • $10k–50k27 grants · $535k
  • $50k–250k3 grants · $450k
$20,000
Median grant
1
States reached
$0
Total assets
Largest grants
RecipientAmount
WoodmenLife Chpt 4520 Houston$150,092
WoodmenLife Chpt 4645 Brenham$150,092
WoodmenLife Chpt 0006 Waco$150,092
WoodmenLife Chpt 4450 Angleton$20,000
WoodmenLife Chpt 2053 Waller$20,000
WoodmenLife Chpt 4631 Bryan$20,000
WoodmenLife Chpt 4652 Crockett$20,000
WoodmenLife Chpt 4647 Madisonville$20,000
WoodmenLife Chpt 0013 Conroe$20,000
WoodmenLife Chpt 0275 Alvin$20,000
WoodmenLife Chpt 0237 Milano$20,000
WoodmenLife Chpt 3909 Needville$20,000
WoodmenLife Chpt 0105 Sealy$20,000
WoodmenLife Chpt 0168 Bay City$20,000
WoodmenLife Chpt 0381 Lufkin$20,000
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:

Dollar for dollar, its grants (FY23–23) land where the poverty rate runs at 14%, against an area that typically sits at 11%. 79% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%WoodmenLife Chpt 0535: $20k → 8%WoodmenLife Chpt 0013 Conroe: $20k → 9%WoodmenLife Chpt 4450 Angleton: $20k → 10%WoodmenLife Chpt 0007 Columbus: $20k → 11%WoodmenLife Chpt 0032 Bridge City: $20k → 13%WoodmenLife Chpt 4645 Brenham: $150k → 14%WoodmenLife Chpt 2197 Texas City: $20k → 14%WoodmenLife Chpt 6177 Beaumont: $20k → 14%WoodmenLife Chpt 4647 Madisonville: $20k → 14%WoodmenLife Chpt 4657 Katy: $20k → 14%WoodmenLife Chpt 0105 Sealy: $20k → 15%WoodmenLife Chpt 0381 Lufkin: $20k → 16%WoodmenLife Chpt 0006 Waco: $150k → 16%WoodmenLife Chpt 3698 Houston: $20k → 16%WoodmenLife Chpt 0237 Milano: $20k → 17%WoodmenLife Chpt 0168 Bay City: $20k → 20%WoodmenLife Chpt 4652 Crockett: $20k → 20%WoodmenLife Chpt 3909 Needville: $20k → 8%WoodmenLife Chpt 0275 Alvin: $20k → 9%WoodmenLife Chpt 3147 Clute: $20k → 10%WoodmenLife Chpt 0302 Muldoon: $20k → 11%WoodmenLife Chpt 3060 Bellville: $20k → 14%WoodmenLife Chpt 3365 Galveston: $20k → 14%WoodmenLife Chpt 2053 Waller: $20k → 14%Our Journey: $15k → 16%WoodmenLife Chpt 0701 Centerville: $20k → 9%WoodmenLife Chpt 4663 Bastrop: $20k → 11%WoodmenLife Chpt 4536 Industry: $20k → 14%WoodmenLife Chpt 4520 Houston: $150k → 16%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

1 grantees tracked through their own filings, 2017–2024.

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 2024, not grant rows in a single year, so this will not match the grant count on the cover. 1 of the 29 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)
0
Early backer (in before they grew)
1/1
Grantees still filing
0/1
Grew since first funded

Where the money sits, by cause and then by grantee

WOODMEN OF THE WORLD LIFE INSURANCE SOCIETY: $170,092 · OtherWOODMEN OF THE WORLD LIFE INSURANCE SOCIETYWOODMEN OF THE WORLD LIFE INSURANCE SOCIETY: $150,092 · OtherWOODMEN OF THE WORLD LIFE INSURANCE SOCIETYWOODMEN OF THE WORLD LIFE INSURANCE SOCIETY: $150,092 · OtherWOODMEN OF THE WORLD LIFE INSURANCE SOCIETY+26 more: $515,000 · Other+26 more
Other$985,276

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 budgetOur Journey: $15,000 over 1y, 7.5% 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.

  • Who funds Our Journey ↗

How much its grantees rely on government

Each dot is one organization Woodmen of the World SETX Youth Association funds: left to right is the share of its income from government, bottom to top the share from Woodmen of the World SETX Youth Association. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 00%1%3%6%10%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
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–24
    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 29 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.

    Source object · view filing

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