Datasets:

migrantusa
/

us-immigration-data

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
_meta: struct<built_on: timestamp[s], source: string, courts_source: string, courts_source_url: string, org (... 112 chars omitted)
  child 0, built_on: timestamp[s]
  child 1, source: string
  child 2, courts_source: string
  child 3, courts_source_url: string
  child 4, orgs_source: string
  child 5, orgs_source_url: string
  child 6, courts_as_of: timestamp[s]
  child 7, orgs_as_of: timestamp[s]
  child 8, method: string
summary: struct<total_courts: int64, total_judges: int64, total_recognized_orgs: int64, states_with_court: in (... 679 chars omitted)
  child 0, total_courts: int64
  child 1, total_judges: int64
  child 2, total_recognized_orgs: int64
  child 3, states_with_court: int64
  child 4, national_orgs_per_court: double
  child 5, worst: struct<state: string, abbr: string, courts: int64, judges: int64, recognized_orgs: int64, orgs_per_c (... 13 chars omitted)
      child 0, state: string
      child 1, abbr: string
      child 2, courts: int64
      child 3, judges: int64
      child 4, recognized_orgs: int64
      child 5, orgs_per_court: double
  child 6, best: struct<state: string, abbr: string, courts: int64, judges: int64, recognized_orgs: int64, orgs_per_c (... 13 chars omitted)
      child 0, state: string
      child 1, abbr: string
      child 2, courts: int64
      child 3, judges: int64
      child 4, recognized_orgs: int64
      child 5, orgs_per_court: double
  child 7, spread_ratio: int64
  child 8, zero_org_court_jurisdictions: list<item: struct<st
...
ouble
      child 6, orgs_per_judge: double
upcoming: list<item: struct<date: timestamp[s], title_en: string, title_es: string, summary_en: string, summar (... 68 chars omitted)
  child 0, item: struct<date: timestamp[s], title_en: string, title_es: string, summary_en: string, summary_es: strin (... 56 chars omitted)
      child 0, date: timestamp[s]
      child 1, title_en: string
      child 2, title_es: string
      child 3, summary_en: string
      child 4, summary_es: string
      child 5, link_en: string
      child 6, link_es: string
      child 7, source_url: string
changes: list<item: struct<date: timestamp[s], precision: string, category: string, title_en: string, title_e (... 234 chars omitted)
  child 0, item: struct<date: timestamp[s], precision: string, category: string, title_en: string, title_es: string,  (... 222 chars omitted)
      child 0, date: timestamp[s]
      child 1, precision: string
      child 2, category: string
      child 3, title_en: string
      child 4, title_es: string
      child 5, summary_en: string
      child 6, summary_es: string
      child 7, source_url: string
      child 8, links_en: list<item: string>
          child 0, item: string
      child 9, links_es: list<item: string>
          child 0, item: string
      child 10, affected_pages: list<item: string>
          child 0, item: string
      child 11, link_en: string
      child 12, link_es: string
      child 13, source_urls: list<item: string>
          child 0, item: string
to
{'_meta': {'source': Value('string'), 'verified_on': Value('timestamp[s]'), 'categories': List(Value('string'))}, 'upcoming': List({'date': Value('timestamp[s]'), 'title_en': Value('string'), 'title_es': Value('string'), 'summary_en': Value('string'), 'summary_es': Value('string'), 'link_en': Value('string'), 'link_es': Value('string'), 'source_url': Value('string')}), 'changes': List({'date': Value('timestamp[s]'), 'precision': Value('string'), 'category': Value('string'), 'title_en': Value('string'), 'title_es': Value('string'), 'summary_en': Value('string'), 'summary_es': Value('string'), 'source_url': Value('string'), 'links_en': List(Value('string')), 'links_es': List(Value('string')), 'affected_pages': List(Value('string')), 'link_en': Value('string'), 'link_es': Value('string'), 'source_urls': List(Value('string'))})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              _meta: struct<built_on: timestamp[s], source: string, courts_source: string, courts_source_url: string, org (... 112 chars omitted)
                child 0, built_on: timestamp[s]
                child 1, source: string
                child 2, courts_source: string
                child 3, courts_source_url: string
                child 4, orgs_source: string
                child 5, orgs_source_url: string
                child 6, courts_as_of: timestamp[s]
                child 7, orgs_as_of: timestamp[s]
                child 8, method: string
              summary: struct<total_courts: int64, total_judges: int64, total_recognized_orgs: int64, states_with_court: in (... 679 chars omitted)
                child 0, total_courts: int64
                child 1, total_judges: int64
                child 2, total_recognized_orgs: int64
                child 3, states_with_court: int64
                child 4, national_orgs_per_court: double
                child 5, worst: struct<state: string, abbr: string, courts: int64, judges: int64, recognized_orgs: int64, orgs_per_c (... 13 chars omitted)
                    child 0, state: string
                    child 1, abbr: string
                    child 2, courts: int64
                    child 3, judges: int64
                    child 4, recognized_orgs: int64
                    child 5, orgs_per_court: double
                child 6, best: struct<state: string, abbr: string, courts: int64, judges: int64, recognized_orgs: int64, orgs_per_c (... 13 chars omitted)
                    child 0, state: string
                    child 1, abbr: string
                    child 2, courts: int64
                    child 3, judges: int64
                    child 4, recognized_orgs: int64
                    child 5, orgs_per_court: double
                child 7, spread_ratio: int64
                child 8, zero_org_court_jurisdictions: list<item: struct<st
              ...
              ouble
                    child 6, orgs_per_judge: double
              upcoming: list<item: struct<date: timestamp[s], title_en: string, title_es: string, summary_en: string, summar (... 68 chars omitted)
                child 0, item: struct<date: timestamp[s], title_en: string, title_es: string, summary_en: string, summary_es: strin (... 56 chars omitted)
                    child 0, date: timestamp[s]
                    child 1, title_en: string
                    child 2, title_es: string
                    child 3, summary_en: string
                    child 4, summary_es: string
                    child 5, link_en: string
                    child 6, link_es: string
                    child 7, source_url: string
              changes: list<item: struct<date: timestamp[s], precision: string, category: string, title_en: string, title_e (... 234 chars omitted)
                child 0, item: struct<date: timestamp[s], precision: string, category: string, title_en: string, title_es: string,  (... 222 chars omitted)
                    child 0, date: timestamp[s]
                    child 1, precision: string
                    child 2, category: string
                    child 3, title_en: string
                    child 4, title_es: string
                    child 5, summary_en: string
                    child 6, summary_es: string
                    child 7, source_url: string
                    child 8, links_en: list<item: string>
                        child 0, item: string
                    child 9, links_es: list<item: string>
                        child 0, item: string
                    child 10, affected_pages: list<item: string>
                        child 0, item: string
                    child 11, link_en: string
                    child 12, link_es: string
                    child 13, source_urls: list<item: string>
                        child 0, item: string
              to
              {'_meta': {'source': Value('string'), 'verified_on': Value('timestamp[s]'), 'categories': List(Value('string'))}, 'upcoming': List({'date': Value('timestamp[s]'), 'title_en': Value('string'), 'title_es': Value('string'), 'summary_en': Value('string'), 'summary_es': Value('string'), 'link_en': Value('string'), 'link_es': Value('string'), 'source_url': Value('string')}), 'changes': List({'date': Value('timestamp[s]'), 'precision': Value('string'), 'category': Value('string'), 'title_en': Value('string'), 'title_es': Value('string'), 'summary_en': Value('string'), 'summary_es': Value('string'), 'source_url': Value('string'), 'links_en': List(Value('string')), 'links_es': List(Value('string')), 'affected_pages': List(Value('string')), 'link_en': Value('string'), 'link_es': Value('string'), 'source_urls': List(Value('string'))})}
              because column names don't match

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US Immigration Data

Machine-readable historical time series and reference datasets on US immigration procedure and enforcement, maintained by MigrantUSA — a free, bilingual (English/Spanish) information site for immigrants living in the United States.

Canonical source: https://migrantusa.com/datasets/ DOI: 10.5281/zenodo.21812233 · License: CC BY 4.0 · Repository: https://github.com/migrantusa/us-immigration-data

Why this exists

US government sources publish only today's version of most of this data and overwrite it without notice or archive. These pipelines re-check the primary sources on a schedule and bank each observed change, so the history — what changed, when, and affecting whom — stays available in a form the official pages do not provide.

The snapshots are useful. The changes are the part that exists nowhere else, and they are the point: see CHANGES.md, regenerated on every run.

Datasets

File	Contents
`tps_designation_history` — TPS designation history (JSON + CSV)	Every Temporary Protected Status designation, extension, redesignation and termination from 1994 to today, with the Federal Register citation for each.
`tps_work_permits` — TPS work-permit status by country (JSON)	Current Form I-9 date and work-authorization status for each TPS country, including the court-stayed designations, with the E-Verify release that set it.
`uscis_fee_history` — USCIS fee history (JSON + CSV)	Filing-fee history by form, including the 2026 H.R.1 statutory fees, with the rule or statute that set each amount.
`ice_287g` — ICE 287(g) agreements (JSON + CSV)	Every 287(g) agreement between ICE and a state or local agency, by type and jurisdiction, tracked as the roster changes.
`ice_detention_history` — ICE detention population series (JSON)	Detention population over time from ICE's own periodic releases.
`visa_bulletin_movement_series` — Visa Bulletin movement series (JSON + CSV)	Month-over-month movement of every Visa Bulletin cutoff date — the delta, not just the current snapshot.
`litigation_tracker` — Immigration litigation tracker (JSON + CSV)	Active immigration cases with status, court, docket number and dated timeline.
`eoir_legal_deserts` — EOIR legal deserts (JSON + CSV)	Immigration-court jurisdictions measured against available free legal-service providers.
`change_log` — Verified change log (JSON + CSV)	The dated record of what changed in the underlying government data, with the primary source for each change. This is the part that exists nowhere else.

Each dataset ships as both JSON and CSV where the shape allows, and carries its own _meta block with an as-of date and the primary source for every value.

Provenance

Automated retrieval from primary government sources — Federal Register, USCIS, E-Verify, Department of State, ICE, EOIR and DOL — normalized and verified against the source before it lands. The refresh runs daily; files change only when the sources do.

Every value traces to the official source cited inside the file. No modelled, estimated or inferred figures.

Citation

@dataset{migrantusa_us_immigration_data,
  author    = {{MigrantUSA Editorial}},
  title     = {US Immigration Data: open historical datasets on US immigration
               procedure and enforcement},
  year      = {2026},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.21812233},
  url       = {https://migrantusa.com/datasets/}
}

APA — MigrantUSA Editorial. (2026). US Immigration Data: open historical datasets on US immigration procedure and enforcement [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21812233

Limitations

Coverage is US federal and state immigration procedure. It is not legal advice and encodes no eligibility logic.
Historical depth varies by dataset and is bounded by what the source agency published; where an agency never published a machine-readable history, the series begins when our own observation began. Each _meta block states this.
Government sources occasionally revise retroactively. The change log records what we observed at the time we observed it.

Mirror of https://github.com/migrantusa/us-immigration-data. Human-readable versions, methodology and more datasets at https://migrantusa.com/datasets/ (Spanish: https://migrantusa.com/es/datos/).

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