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DOL Visas Database (H-1B LCA + PERM)

Every H-1B/H-1B1/E-3 Labor Condition Application and PERM permanent labor certification application disclosed by the DOL Office of Foreign Labor Certification, FY2015 to present, as a single queryable DuckDB database. 8,533,076 rows.

Table Description Rows Cols Coverage
lca H-1B/H-1B1/E-3 Labor Condition Applications, one row per application per disclosure file, FY2015-present 7,252,588 110 FY2015 to FY2026
perm PERM permanent labor certification applications, one row per application per disclosure file, FY2015-present 1,280,488 73 FY2015 to FY2026

Query it remotely

INSTALL httpfs; LOAD httpfs;
ATTACH 'https://huggingface.co/datasets/Nason/dol-visas-database/resolve/main/dol_visas.duckdb'
    AS visas (READ_ONLY);

SELECT employer_name, COUNT(*) AS certified_lcas
FROM visas.lca
WHERE fiscal_year = 2025 AND case_status = 'CERTIFIED' AND is_latest
GROUP BY 1 ORDER BY 2 DESC LIMIT 10;

Or with the datapond package: pip install datapond, then datapond.connect('dol-visas').

Build pipeline, per-era column crosswalks, and full documentation: https://github.com/ian-nason/dol-visas-database

Changelog

2026-07-07 — Initial release

  • lca: H-1B/H-1B1/E-3 Labor Condition Applications, FY2015 through FY2026-to-date (~7.25M rows, 106 harmonized columns from 4 source-layout eras).
  • perm: PERM labor certification applications, FY2015 through FY2026-to-date (~1.28M rows, 69 curated analytical columns from 3 form eras; remaining source columns documented as drops in the crosswalk).
  • All disclosure rows kept; is_latest flags the most recent appearance of each case number per program.
  • Categorical domains normalized across eras (case_status casing, wage levels, Y/N flags, literal 'NULL' strings).
  • Known upstream limits: FY2024+ PERM form drops citizenship/admission-class and foreign-worker education fields; FY2019 LCA secondary worksite groups (2-10) not retained; H-2A/H-2B/CW-1/prevailing-wage files out of scope.
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