IRS Form 990 e-file corpus (2010–2026)
A clean, deduplicated, full-field corpus of electronically filed IRS Form 990 and 990-EZ returns, parsed from the official IRS e-file XML into 15 analysis-ready parquet tables — every schedule, every field, 6.2M filings, 160.4M rows, tax years 2010–2026.
Query it from anywhere in one line of DuckDB — no download, no signup, no server:
INSTALL httpfs; LOAD httpfs;
SELECT ein, F9_00_ORG_NAME_L1, F9_09_EXP_TOT_TOT
FROM read_parquet('hf://datasets/mauricedalton/irs-990/main/tax_year=2023/*.parquet')
WHERE ein = '222529464';
Why this dataset
A parsed, query-ready view of the full Form 990/990-EZ e-file record: every schedule and every field, deduplicated to one row per filing with an explicit audited rule (see Provenance), covering tax years 2010–2026 — including pre-2019 filings recovered from NBER archives — and published as columnar parquet you can query remotely with no download.
Tables
| Table | Contents | Grain | Rows |
|---|---|---|---|
main |
Core 990/990-EZ return (693 cols: parts I–XII) | 1 row / filing | 6,207,891 |
person |
Officers, directors, trustees, key employees (Part VII) | repeating | 61,695,135 |
scheda |
Schedule A — public charity status | repeating | 5,310,504 |
schedd |
Schedule D — supplemental financials | repeating | 16,768,776 |
schedf |
Schedule F — foreign activities | repeating | 1,864,896 |
schedh |
Schedule H — hospitals | repeating | 655,410 |
schedi |
Schedule I — domestic grants | repeating | 11,464,694 |
schedj |
Schedule J — executive compensation | repeating | 4,915,270 |
schedk |
Schedule K — tax-exempt bonds | repeating | 271,135 |
schedl |
Schedule L — interested-party transactions | repeating | 1,049,788 |
schedm |
Schedule M — noncash contributions | repeating | 1,369,108 |
schedn |
Schedule N — liquidation/dissolution | repeating | 200,282 |
schedo |
Schedule O — supplemental free-text | repeating | 33,531,646 |
schedr |
Schedule R — related organizations | repeating | 14,791,482 |
facilities |
Hospital facilities (Sch. H Part V) | repeating | 323,335 |
Every table is hive-partitioned by tax_year and sorted by ein within each
partition, so EIN- and year-filtered remote queries touch only the row groups
they need. Join any schedule to main on object_id (one e-filed return) or
analyze by ein + tax_year.
A 16th config, raw_xml, carries the original e-file
XML behind these parsed tables — for re-parsing, auditing, or working with
returns as filed.
Usage
DuckDB (SQL or Python) — streams only the bytes your query needs:
import duckdb
con = duckdb.connect()
con.execute("INSTALL httpfs; LOAD httpfs;")
df = con.sql("""
SELECT tax_year, count(*) AS filings, sum(SH_01_FA_EXP_NET_COM_BEN) AS fin_assistance_net
FROM read_parquet('hf://datasets/mauricedalton/irs-990/schedh/tax_year=*/part-*.parquet')
GROUP BY 1 ORDER BY 1
""").df()
🤗 Datasets:
from datasets import load_dataset
ds = load_dataset("mauricedalton/irs-990", "schedj", split="train")
pandas / Polars (single partition):
import pandas as pd
df = pd.read_parquet("hf://datasets/mauricedalton/irs-990/main/tax_year=2023/part-0.parquet")
Archival raw XML
The raw_xml config ships the original IRS e-file XML behind the 15 parsed
tables — pull it to re-extract fields this corpus doesn't surface, audit the
parsing, or work with returns exactly as filed:
INSTALL httpfs; LOAD httpfs;
SELECT object_id, source, archive_year, raw_xml
FROM read_parquet('hf://datasets/mauricedalton/irs-990/raw_xml/year=2023/*.parquet')
WHERE ein = '222529464';
It is deliberately different from the 15 analytical tables in three ways:
| Analytical tables | raw_xml |
|
|---|---|---|
| Grain | 1 row / filing (deduped) | 1 row / retained copy — (object_id, source, archive_year), not deduped |
| Partition | tax_year= |
year= (tax year parsed from the XML) |
| Payload | parsed columns | one raw_xml BLOB per row + filing keys |
| Size | 9.5 GB | 24 GB — 7.10M rows, 614 files |
Columns: object_id, ein, return_type_cd, tax_year, tax_period_end,
source (irs_direct / nber), archive_year, schema_version_detected,
ingest_timestamp, raw_xml (BLOB), year. Each file is sorted by
object_id. Because raw_xml keeps every retained copy of a
filing, apply the dedup rule yourself if you need one row per filing (latest
archive_year wins; irs_direct beats nber on ties). The XML blobs are large
— query with DuckDB (it streams only the row groups you touch) rather than the
dataset viewer.
Provenance & method
- Sources: NBER archival mirrors of the IRS e-file releases (covering the pre-2019 files irs.gov no longer hosts) + IRS-direct downloads for 2019–2026. Every source archive is checksummed and retained.
- Parsing: field extraction driven by the NODC concordance plus supplemental mappings, applied uniformly across XML schema versions (including post-2018 versions).
- Dedup: one row per filing: latest archive year wins; on ties,
IRS-direct beats NBER; content-hash comparison within
object_id. A per-object_idprovenance ledger is kept upstream. - Validation: multi-gate integrity check (row counts, grain uniqueness,
EIN/year coverage) passes on the published build; parquet export row counts
are verified against the build manifest (
export_manifest.json, including the source-build git commit).
Scope & limitations
- Form 990 and 990-EZ only (3.97M / 2.24M filings). No 990-PF (private foundations), 990-T, or 990-N postcards.
- E-filed returns only — paper-only filers appear from their first e-file year.
tax_year2025–2026 are partial (filing-season lag).- 4 rows carry a pre-2010
tax_year(tax_year=2000: 1 row,tax_year=2001: 3 rows inmain) —TaxYrtypos in the source XML of four 2020-processed filings, kept verbatim for archival fidelity. Filtertax_year >= 2010for tax-year analysis. - Column names follow the concordance-style convention:
F9_<part>_<field>onmain(e.g.F9_09_EXP_TOT_TOT),SH_…/SJ_…/etc. on schedules; every table also carriesein,object_id,return_type_cd,tax_year. See the per-table parquet schema for the full list.
Recent extraction corrections
- Schedule H Part IV (management companies & joint ventures) is now
extracted — the
SH_04_*columns are populated on rows withpart = 'Part_IV_Mgmt_Co_JV'(previously always null). - Schedule R legacy ownership —
SR_03/SR_04_*_PCT_OWNand*_EOY_ASSETSare now populated for pre-2013 filings (2009–2012 vintages named these elements differently and were previously dropped). mainPart V compliance counts —F9_05_NUM_EMPL(W-3 employee count) andF9_05_NUM_FORM_1096_BOX_3(1099/1096 count) are now populated for 2017+ filings (previously null past the concordance's 2016 vintage cutoff).mainmodern-vintage fallbacks — 200+F9_*columns that read null for 2017+ filings (the concordance's version lists end at 2016) are now populated via schema-version fallbacks.mainprogram-service values corrected — an xpath-precedence fix routesF9_03_PROG_{EXP,DESC,GRANT,CODE}from the right element; a handful of rows that previously published a different program's figure now carry the correct line-4a value.- Schedule K for pre-2013 filings — Parts I–V (
SK_*) are now extracted for 2009–2012 bond filings (previously unextracted); advance/current-refunding indicators are now populated for 2011–2017 vintages. - Schedule A Part V — the Type III supporting-organization distribution
columns (
SA_05_*) are now populated for 2018+ filings. - Schedule H Part V Section B — 100+ hospital facility policy columns
(
SH_05_*/SH_99_*) are now mapped across both eras. - Schedule R / Schedule I legacy fields — pre-2013 addresses, domicile, transaction, and recipient columns recovered.
- Known upstream limitation (not an extraction gap): Schedule R
*_PCT_OWNfill drops from ~12–13% (2014–2018) to ~8% (2019+) in the IRS-published XML itself — the element is genuinely absent, not dropped by the parser (verified against raw XML). Post-2018 ownership-percentage missingness is missing-not-at-random at the source; model the selection or restrict to 2013–2018.
License & citation
Underlying 990 filings are US public records; this compilation is released CC0 1.0. If you use it in research, please cite:
@dataset{irs990corpus2026,
title = {IRS Form 990 e-file corpus (2010--2026)},
author = {Maurice Dalton},
year = {2026},
url = {https://huggingface.co/datasets/mauricedalton/irs-990}
}
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