NIH research funding by institute, fiscal year
Institute x fiscal-year national panel of U.S. federal biomedical and health research funding from the NIH RePORTER v2 Projects API (keyless), trailing five federal fiscal years (FY2022-FY2026 as of 2026-09; the window rolls forward each October), computed from the same state x FY fetch as nih_funding_by_state. One row per funding institute/center (NIH institutes plus the HHS sister agencies reporting through RePORTER) and fiscal year: total awarded costs in USD, the number of projects with a reported cost (costs are published only for NIH/CDC/FDA/ACF projects), project counts, the institute's share of the NIH-wide total, within-window year-over-year change (null for the first window year), and a deterministic funding rank within the fiscal year. Institute names are the modal publisher name per abbreviation. Units: USD; shares and YoY as fractions. Caveats: the current FY is partial and grows with the weekly refresh; prior awards are routinely revised upstream. U.S. federal government work, public domain (17 U.S.C. 105) — commercial_use = yes, attribution "Source: NIH RePORTER". Primary key: (institute, fiscal_year). Join keys: fiscal_year, country_code = USA. Secondary theme: government. Cadence: weekly.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 191
- Colonnes
- 11
- Cadence de la source
- Hebdomadaire
- Dernière actualisation
- 27 sept. 2026
- Thème
- health
| Colonne | Type | Description |
|---|---|---|
| institute | string | Funding institute/center abbreviation (NIH institutes plus HHS sister agencies reporting through RePORTER); primary key with fiscal_year. |
| institute_name | string | Modal publisher name for the abbreviation (alphabetical tiebreak). |
| country_code | string | ISO 3166-1 alpha-3 country code; always USA. |
| fiscal_year | integer | U.S. federal fiscal year (Oct 1 - Sep 30); join key. |
| total_award_amount_usd | float | Sum of the publisher's total_cost (direct + indirect costs awarded in the fiscal year) over matching-FY funding entries. Costs are published only for NIH/CDC/FDA/ACF projects; records without cost entries contribute to counts but not to this total. (unit: USD) |
| n_cost_reported | integer | Distinct projects with at least one reported (non-null) cost entry in the fiscal year; lets a small dollar total be distinguished from thin cost coverage. (unit: count) |
| project_count | integer | Distinct funded projects (deduplicated appl_id). (unit: count) |
| nih_share | float | Institute total_award_amount_usd divided by the fiscal-year NIH-wide total. (unit: fraction) |
| award_yoy | float | Within-window year-over-year fractional change of total_award_amount_usd; null for the first fiscal year of the window or when the prior-year total is zero. (unit: fraction) |
| funding_rank | integer | Deterministic positional rank 1..N within the fiscal year by total_award_amount_usd descending (ties broken alphabetically). (unit: rank) |
| row_hash | string | Deterministic 16-hex sha256 over the row's content fields; drives snapshot idempotency. |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| institute | institute_name | country_code | fiscal_year | total_award_amount_usd | n_cost_reported | project_count | nih_share | award_yoy | funding_rank | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|
| AHRQ | Agency for Healthcare Research and Quality | USA | 2 022 | 158 631 517 | 430 | 430 | 0,004 | — | 23 | 043e2a129e1e9668 |
| AHRQ | Agency for Healthcare Research and Quality | USA | 2 023 | 166 392 837 | 442 | 442 | 0,004 | 0,049 | 23 | 43b78c29b581d826 |
| AHRQ | Agency for Healthcare Research and Quality | USA | 2 024 | 194 427 493 | 497 | 497 | 0,005 | 0,168 | 23 | 2bf29859dc1180b7 |
| AHRQ | Agency for Healthcare Research and Quality | USA | 2 025 | 108 742 860 | 250 | 250 | 0,003 | -0,441 | 26 | 0e7b8a1388dd10b4 |
| AHRQ | Agency for Healthcare Research and Quality | USA | 2 026 | 30 010 367 | 70 | 70 | 0,001 | -0,724 | 28 | b88c839edd928b6d |
| ATSDR | Agency for Toxic Substances and Disease Registry | USA | 2 022 | 14 443 859 | 17 | 17 | 0 | — | 34 | 6ac4239b5c658ff0 |
| ATSDR | Agency for Toxic Substances and Disease Registry | USA | 2 023 | 14 194 196 | 15 | 15 | 0 | -0,017 | 35 | c50d206b721574f7 |
| ATSDR | Agency for Toxic Substances and Disease Registry | USA | 2 024 | 2 798 822 | 7 | 7 | 0 | -0,803 | 38 | 239305573f1dd4b8 |
| ATSDR | Agency for Toxic Substances and Disease Registry | USA | 2 025 | 2 431 824 | 8 | 8 | 0 | -0,131 | 36 | b4e107a455104e4e |
| BRH | — | USA | 2 022 | 8 868 765 | 6 | 6 | 0 | — | 36 | 0a973a458070a262 |
Profilé le 27 sept. 2026 à partir de l’instantané 20260927T000527Z-5eb6fb0cec39
Mesuré- Complétude
- 97,9 %
- Lignes
- 191
- Colonnes
- 11
- Colonnes incomplètes
- 2
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| institutevarchar | 0 % | 46 | — |
|
| institute_namevarchar | 2,6 % | 32 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| fiscal_yearbigint | 0 % | 5 | 2 022 → 2 026médiane 2 024 | |
| total_award_amount_usddouble | 0 % | 221 | 50 000 → 6 921 779 323médiane 426 382 124 | 4 hors du 1er–99e centile |
| n_cost_reportedbigint | 0 % | 170 | 1 → 12 180médiane 728 | 2 hors du 1er–99e centile |
| project_countbigint | 0 % | 170 | 1 → 12 180médiane 728 | 2 hors du 1er–99e centile |
| nih_sharedouble | 0 % | 183 | 0 → 0,1633médiane 0,0101 | 4 hors du 1er–99e centile |
| award_yoydouble | 20,9 % | 142 | -0,9469 → 0,8507médiane -0,0045 | 4 hors du 1er–99e centile |
| funding_rankbigint | 0 % | 41 | 1 → 40médiane 20 | 1 hors du 1er–99e centile |
| row_hashvarchar | 0 % | 164 | — |
|
- Actuelle
20260927T000527Z-5eb6fb0cec39 · sha256 5eb6fb0cec39…
191 lignes · premier instantané
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/nih_reporter_signals/nih_funding_by_institute" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/nih_reporter_signals/nih_funding_by_institute").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API : https://datazimuts.com/v1/datasets/nih_reporter_signals/nih_funding_by_institute
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
Citer cet instantané
Épinglé à l’instantané 20260927T000527Z-5eb6fb0cec39 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
NIH RePORTER — Federal Research Funding Intelligence. (2026). NIH research funding by institute, fiscal year [Data set, snapshot 20260927T000527Z-5eb6fb0cec39, sha256 5eb6fb0cec39]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/fr/datasets/nih_reporter_signals/nih_funding_by_institute?snapshot=20260927T000527Z-5eb6fb0cec39
@misc{dz_nih_reporter_signals_nih_funding_by_inst_5eb6fb0c,
title = {{NIH research funding by institute, fiscal year}},
author = {{NIH RePORTER — Federal Research Funding Intelligence}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/nih_reporter_signals/nih_funding_by_institute?snapshot=20260927T000527Z-5eb6fb0cec39}},
note = {Snapshot 20260927T000527Z-5eb6fb0cec39, sha256 5eb6fb0cec394f97e3e2a1c1eadd02cdfda6eb07e8b9518c54f67375da8a0c5a; accessed 2026-09-27}
}Intégrer un tableau ou un graphique
Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.
<iframe src="https://datazimuts.com/embed/chart?dataset=nih_reporter_signals%2Fnih_funding_by_institute&lang=fr&theme=auto&snapshot=20260927T000527Z-5eb6fb0cec39&x=fiscal_year&y=fiscal_year&agg=avg" title="NIH research funding by institute, fiscal year" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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