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· Public charity

Tender Loving Care Center for Children

To assist in providing affordable housing for low and moderate income persons, operating exclusively as a community housing development corporation and to develop, own and oversee the management of decent, affordable housing for low and moderate income persons.

$129k
Granted FY2021
1
Grants FY2021
1
States reached
$6k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2021.

Religion$25k
02FY2021 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 1 grants below total $6,217, the rows itemized in this filing. The $129,009 headline is the total grant expense on the return; the other $122,792 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.
$6,217
Median grant
1
States reached
$9.5M
Total assets
Largest grants
RecipientAmount
JIREH WORLD CHRUCH & OUTREACH$6,217
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:

Dollar for dollar, its grants (FY17–21) land where the poverty rate runs at 19%, against an area that typically sits at 20%. 0% of its dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 20%JIREH WORLD CHURCH and OUTREACH: $7k → 19%JIREH WORLD CHRUCH & OUTREACH: $6k → 19%JIREH WORLD CHURCH AND OUTREACH: $6k → 19%JIREH WORLD CHURCH & OUTREACH: $6k → 19%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
04the grantee network

0 grantees tracked through their own filings, 2017–2021.

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 2021, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 1 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)
0/0
Grantees still filing
0/0
Grew since first funded

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 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.

04Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Tender Loving Care Center for Children?

Find your warmest path to Tender Loving Care Center for Children 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 1 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 2021, released 2021. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports no grant expense, so the figures above are from FY2021, the most recent year this funder made grants.

Source object · view filing

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