cbp-database / README.md
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metadata
license: cc0-1.0
task_categories:
  - tabular-classification
  - tabular-regression
tags:
  - immigration
  - border
  - cbp
  - foia
  - deportation-data-project
  - duckdb
  - datapond
pretty_name: CBP Border Enforcement Database (Deportation Data Project FOIA releases)
size_categories:
  - 10M<n<100M

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).