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README.md

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+---
+license: other
+task_categories:
+  - tabular-classification
+  - tabular-regression
+tags:
+  - courts
+  - federal-courts
+  - litigation
+  - criminal-justice
+  - fjc
+  - duckdb
+  - datapond
+pretty_name: FJC Integrated Database (federal civil, criminal, appellate cases)
+size_categories:
+  - 10M<n<100M
+---
+
+# 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
+
+```sql
+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).