Nason/cbp-database

CBP Border Enforcement Database

Individual-level Customs and Border Protection records obtained by the Deportation Data Project through FOIA litigation: Border Patrol apprehensions (FY2008-Dec 2025), apprehensions with place of birth (FY2000-FY2022), encounters, Office of Field Operations inadmissibility events at ports of entry (CY2014-Jan 2026), Title 42 expulsions and CBP One appointments. 121 release files harmonised into one schema per record type; overlapping release windows resolved into a non-overlapping base tiling (see _files). 51,345,742 rows across 8 tables.

Table	Description	Row Count	Column Count
apprehensions_origin	Border Patrol apprehensions with place of birth (country/state/city), one row per apprehension, FY2000 - FY2022	16,719,589	16
inadmissibles	Office of Field Operations events where a person arriving at a port of entry was deemed inadmissible, one row per event, CY2014 - Jan 2026	11,591,432	35
apprehensions	Border Patrol apprehensions between ports of entry, one row per person apprehended (FOIA releases covering Oct 2007 - Dec 2025; monthly gaps where CBP has not yet released data)	7,907,911	74
encounters	Border Patrol encounters (apprehensions with prior-encounter history and seizure fields), FY2010 - FY2018 and Oct 2022 - Sep 2024	7,164,459	38
inadmissibles_superseded	Rows from inadmissibles release files whose windows overlap the base tiling (see _files.superseded_reason); same schema as inadmissibles	5,634,463	41
title42_expulsions	Title 42 expulsions by Border Patrol, one row per expulsion, FY2020 - FY2022	1,976,471	24
cbp_one	CBP One app appointments at ports of entry, individual-level extract, Jan 12 - Oct 31 2023	323,686	19
cbp_one_monthly	CBP One monthly appointment counts by port of entry and citizenship (five overlapping FOIA extracts; see source_file)	27,731	19

Query it remotely

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

SELECT EXTRACT(YEAR FROM event_datetime) AS year, citizenship, COUNT(*) AS apprehensions
FROM cbp.apprehensions WHERE event_datetime >= '2023-01-01'
GROUP BY 1, 2 ORDER BY 3 DESC LIMIT 20;

Or with the datapond packages: pip install datapond / pak::pak("datapond-db/datapond-r").

Build pipeline, header crosswalk, tiling decisions and caveats: https://github.com/ian-nason/cbp-database Source: https://deportationdata.org/data/cbp.html (CC0).