The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
FJC Integrated Database (IDB)
Every civil case (SY1988-present), criminal defendant (FY1970-present) and appeal (1971-present) reported by the federal courts to the Administrative Office of the U.S. Courts, as published in the Federal Judicial Center's Integrated Database (updated quarterly). Column names are the IDB's; -8/-9 and 01/01/1900 sentinels are stored as NULL. 21,119,023 rows across 3 tables.
| Table | Description | Row Count | Column Count |
|---|---|---|---|
civil |
Civil cases filed in U.S. district courts, statistical year 1988 to present: one row per case (parties, nature of suit, jurisdiction, filing/termination dates, disposition, judgment) | 10,959,535 | 47 |
criminal |
Criminal defendants in U.S. district courts, FY1970 to present: one row per defendant (filing offenses, disposition, sentence, dates) | 7,743,962 | 176 |
appellate |
Appeals filed in U.S. courts of appeals, 1971 to present: one row per appeal (origin, nature of suit/offense, disposition, dates, judges) | 2,415,526 | 71 |
Query it remotely
INSTALL httpfs; LOAD httpfs;
ATTACH 'https://huggingface.co/datasets/Nason/fjc-database/resolve/main/fjc.duckdb' AS fjc (READ_ONLY);
SELECT EXTRACT(YEAR FROM FILEDATE) AS year, COUNT(*) AS civil_cases
FROM fjc.civil WHERE FILEDATE >= '2015-01-01'
GROUP BY 1 ORDER BY 1;
Or with the datapond packages: pip install datapond / pak::pak("datapond-db/datapond-r").
Build pipeline, codebooks and caveats: https://github.com/ian-nason/fjc-database Source: https://www.fjc.gov/research/idb (public domain).
- Downloads last month
- 88