NIH research funding by institute, fiscal year

Commercial use OKFresh

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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.

Source: NIH RePORTER — Federal Research Funding Intelligence
Rows: 191
Columns: 11
Source cadence: Weekly
Last refreshed: Sep 27, 2026
Theme: health

Column	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.

First 10 sample rows — a preview, not the complete dataset.

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

Profiled Sep 27, 2026 from snapshot 20260927T000527Z-5eb6fb0cec39

Measured

Completeness: 97.9%
Rows: 191
Columns: 11
Columns with gaps: 2

Column	Missing	Distinct	Range	Distribution
institutevarchar	0%	46	—	AHRQ5 FDA5 FIC5
institute_namevarchar	2.6%	32	—	Agency for Healthcare Research and Quality5 Eunice Kennedy Shriver National Institute of Child Health and Human Development5 Food and Drug Administration5
country_codevarchar	0%	1	—	USA191
fiscal_yearbigint	0%	5	2,022 → 2,026median 2,024
total_award_amount_usddouble	0%	221	50,000 → 6,921,779,323median 426,382,124	4 outside 1st–99th percentile
n_cost_reportedbigint	0%	170	1 → 12,180median 728	2 outside 1st–99th percentile
project_countbigint	0%	170	1 → 12,180median 728	2 outside 1st–99th percentile
nih_sharedouble	0%	183	0 → 0.1633median 0.0101	4 outside 1st–99th percentile
award_yoydouble	20.9%	142	-0.9469 → 0.8507median -0.0045	4 outside 1st–99th percentile
funding_rankbigint	0%	41	1 → 40median 20	1 outside 1st–99th percentile
row_hashvarchar	0%	164	—	0007b141b0cb8aa61 00e6b4b2546230c71 043e2a129e1e96681

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/nih_reporter_signals/nih_funding_by_institute" | jq '{title, rows, columns_count, license}'

Python

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)

API endpoint: https://datazimuts.com/v1/datasets/nih_reporter_signals/nih_funding_by_institute

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20260927T000527Z-5eb6fb0cec39 and its content hash, so readers get exactly the data you used.

APA

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/en/datasets/nih_reporter_signals/nih_funding_by_institute?snapshot=20260927T000527Z-5eb6fb0cec39

BibTeX

@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/en/datasets/nih_reporter_signals/nih_funding_by_institute?snapshot=20260927T000527Z-5eb6fb0cec39}},
  note         = {Snapshot 20260927T000527Z-5eb6fb0cec39, sha256 5eb6fb0cec394f97e3e2a1c1eadd02cdfda6eb07e8b9518c54f67375da8a0c5a; accessed 2026-09-27}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=nih_reporter_signals%2Fnih_funding_by_institute&lang=en&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>

NIH research funding by institute, fiscal year

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