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Plinth

· Public charity

National Development and Research Institutes Inc

To advance understanding, treatment , harm minimization and prevention of addiction and other bio-behavioral disorders.

$332k
Granted FY2020
6
Grants FY2020
5
States reached
$56k
Largest
01What you fund
01

What you funded, over time

By grantee IRS cause code (NTEE).

A cause breakdown isn’t shown here: 80% of NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES INC’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.

02FY2020 · 6 grants

Where the money goes

Your grants by size, and where they go.

The 6 grants below total $141,646 — the rows itemised in this filing. The $331,921 headline is the total grant expense reported on the return, so the remaining $190,275 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 · FY2020

  • Under $10k3 grants · $15k
  • $10k–50k2 grants · $70k
  • $50k–250k1 grant · $56k
$29,171
Median grant
5
States reached
$0
Total assets
Largest grants
RecipientAmount
JOAN & SANFORD WEILL MEDICAL COLLEGE OF CORNELL$56,200
NYU SCHOOL OF MEDICINE$41,075
ARIZONA BOARD OF REGENTS$29,171
DREXEL UNIVERSITY$6,348
RHODE ISLAND HOSPITAL$6,188
BRANDEIS UNIVERSITY$2,664
02The need
03

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.

show:

Dollar for dollar, your grants (FY17–20) land where the poverty rate runs at 15%, against an area that typically sits at 11%. 86% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 11%ARIZONA BOARD OF REGENTS: $125k → 11%BRANDEIS UNIVERSITY: $3k → 8%DREXEL UNIVERSITY: $12k → 22%UNIVERSITY OF CALIFORNIA: $117k → 10%LAGUARDIA EDUCATION: $7k → 13%NYU SCHOOL OF MEDICINE: $123k → 17%UNIVERSITY OF TEXAS HEALTH SCIENCE: $15k → 16%RHODE ISLAND HOSPITAL: $6k → 14%NORC: $118k → 14%UNIVERSITY OF ILLINOIS: $79k → 19%BOARD OF REGENTS NSHE: $48k → 10%ARIZONA BOARD OF REGENTS: $40k → 11%UNIVERSITY OF MASSACHUSETTS: $15k → 8%TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA: $6k → 22%NYU SCHOOL OF MEDICINE: $102k → 17%RHODE ISLAND HOSPITAL: $6k → 14%NORC: $73k → 14%ARIZONA BOARD OF REGENTS: $29k → 11%DREXEL UNIVERSITY: $6k → 22%NYU SCHOOL OF MEDICINE: $41k → 17%TREATMENT ALTERNATIVES FOR SAFE COMMUNITIES: $29k → 14%JOAN & SANFORD I WEILL MEDICAL COLLEGE OF CORNELL UNIVERSITY: $81k → 17%JOAN & SANFORD WEILL MEDICAL COLLEGE OF CORNELL: $56k → 17%JOAN & SANFORD WEILL MEDICAL COLLEGE OF CORNELL: $23k → 17%NYU SCHOOL OF SPONSORED PROGRAMS: $12k → 17%NYU SCHOOL OF SPONSORED PROGRAMS: $12k → 17%PUBLIC HEALTH SOLUTIONS: $42k → 17%PUBLIC HEALTH SOLUTIONS: $26k → 17%PUBLIC HEALTH SOLUTIONS: $12k → 17%ICAHN SCHOOL OF MEDICINE: $31k → 17%ICAHN SCHOOL OF MEDICINE: $8k → 17%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

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.

Which US states your grants reach

IL
NY
MA
NV
PA
RI
CA
AZ
TX

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.

03Your edge
repeat funding

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.

79%of every dollar goes to organizations you’ve funded before.
$1.1M · 11 repeat orgs$298k to everyone else

11 repeat relationships — 5 still active in FY2020, 6 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

11
7

Total granted

$1.1M
$298k

Median revenue growth · since first grant

+58%
+98%

Still filing today

18%
29%

New vs renewed · share of each year

In FY2020, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’17’18’19’20
RenewedFirst-time

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

’17’18’19’20
EducationHealthSocial ScienceOther

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

  • NY
    NEW YORK UNIVERSITY SCHOOL OF MEDICINE
    3× · 2018–2020 · $266k
  • UO
    UNIVERSITY OF ARIZONA
    3× · 2018–2020 · $194k
  • NATIONAL OPINION RESEARCH CENTER
    2× · 2017–2018 · $191k · revenue +112%

Funded once

  • UO
    UNIVERSITY OF CALIFORNIA SAN FRANCISCO
    one grant, 2017 · $117k
  • TB
    THE BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS
    one grant, 2019 · $79k
  • BO
    BOARD OF REGENTS NEVADA SYSTEM OF HIGHER EDUCATION
    one grant, 2019 · $48k

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

04Your field
04the grantee network

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 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 7 of the 20 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
6/7
Grantees still filing
5/7
Grew since you first funded

Where your money sits — by cause, then by grantee

NEW YORK UNIVERSITY SCHOOL OF MEDICINE — $266,033 · OtherNEW YORK UNIVERSITY SCHOOL OF MEDICINEUNIVERSITY OF ARIZONA — $193,900 · OtherUNIVERSITY OF ARIZONAJOAN & SANFORD I WEILL MEDICAL COLLEGE OF CORNELL UNIVERSITY — $160,071 · OtherJOAN & SANFORD I WEILL MEDICAL COLLEGE OF CORNELL UNIVERSITYUNIVERSITY OF CALIFORNIA SAN FRANCISCO — $116,540 · OtherUNIVERSITY OF CALIFORNIA SAN FRANCISCOUNIVERSITY OF TEXAS HEALTH SCIENCE CENTER HOUSTON — $85,371 · OtherUNIVERSITY OF TEXAS HEALTH SCIENCE CENTER HOUSTONNATIONAL DEVELOPMENT AND RESEARCH INSTITUTES INC — $80,423 · OtherNATIONAL DEVELOPMENT AND RESEARCH INSTITUTES INCTHE BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS — $78,590 · OtherTHE BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOISBOARD OF REGENTS NEVADA SYSTEM OF HIGHER EDUCATION — $48,295 · Other+6 more — $102,202 · Other+6 moreNATIONAL OPINION RESEARCH CENTER — $190,601 · Social ScienceNATIONAL OPINIO…ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI — $39,091 · EducationLAGUARDIA EDUCATION FUND INC — $7,200 · EducationTRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA — $6,496 · EducationBRANDEIS UNIVERSITY — $2,664 · EducationTREATMENT ALTERNATIVES FOR STRONGER COMMUNITIES — $28,515 · Health
Other$1,131,425Social Science$190,601Education$55,451Health$28,515

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$10M$100Mgrantee revenue →↑ your share of their budgetNATIONAL OPINION RESEARCH CENTER — $190,601 over 2y, 0.1% of budgetNATIONAL DEVELOPMENT AND RESEARCH INSTITUTES INC — $80,423 over 3y, 0.6% of budgetICAHN SCHOOL OF MEDICINE AT MOUNT SINAI — $39,091 over 2y, 0.0% of budgetTREATMENT ALTERNATIVES FOR STRONGER COMMUNITIES — $28,515 over 1y, 0.2% of budgetLAGUARDIA EDUCATION FUND INC — $7,200 over 1y, 0.7% of budgetTRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA — $6,496 over 1y, 0.0% of budgetBRANDEIS UNIVERSITY — $2,664 over 1y, 0.0% of budget
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 OPINION RESEARCH CENTER
  • Who funds NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES INC
  • Who funds ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
  • Who funds TREATMENT ALTERNATIVES FOR STRONGER COMMUNITIES
  • Who funds LAGUARDIA EDUCATION FUND INC
  • Who funds TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA
  • Who funds BRANDEIS UNIVERSITY

Government reliance of your grantees

Every dot is one organization National Development and Research Institutes Inc 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.

2024
202122232425
no gov · 00%0%1%3%5%your share of their income ↑0%23%45%68%90%share of the org’s income from governmentmedian 9%
  • Brandeis University9% of income from government
no gov moneyreceives it· size = income
0get no government money at all
1report government grants on their 990 we could not trace to a source (not plotted)
0rely on government for over half their income
⤢ axis zoomed · 0–90%
typical government reliance, FY2025

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.

05Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to National Development and Research Institutes Inc?

Find your warmest path to National Development and Research Institutes Inc 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 20 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your 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. How we build these →

Generated from your IRS Form 990 e-file return for fiscal year 2020, released 2020. Filings run roughly 12–24 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 FY2020, the most recent year this funder made grants.

Source object · view filing

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