The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ArrowInvalid
Message: Mismatching child array lengths
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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/hdf5/hdf5.py", line 83, in _generate_tables
pa_table = _recursive_load_arrays(h5, self.info.features, start, end)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 267, in _recursive_load_arrays
arr = _recursive_load_arrays(obj, features[path], start, end)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 288, in _recursive_load_arrays
sarr = pa.StructArray.from_arrays(values, names=keys)
File "pyarrow/array.pxi", line 4304, in pyarrow.lib.StructArray.from_arrays
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Mismatching child array lengthsNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Microcosm US build sources
Processed Current Population Survey Annual Social and Economic Supplement (CPS ASEC) files that the PolicyEngine Microcosm US build reads as inputs to its base stage (tools/build_us_puf_support_base.py --asec-h5 YEAR=PATH in PolicyEngine/microcosm).
The 2022-2024 files are mirrored here unchanged so that the build's inputs do not exist on one machine only. The 2025 file was built for this repository on 27 September 2026 (see Provenance). Microcosm pins each file by repository revision, SHA-256 and size, and refuses a file whose digest differs. Files are named by income year; the survey year is the income year plus one.
Files
| File | Survey year (income year) | Bytes | SHA-256 | Households | Persons |
|---|---|---|---|---|---|
census_cps_2025.h5 |
ASEC 2026 (2025) | 304,753,967 | 4c5a32188b6acfbcfbeb9f5d719d3847873887b72ebdbb19bc402c16e0a64e58 |
53,344 | 134,729 |
census_cps_2024.h5 |
ASEC 2025 (2024) | 323,994,739 | ec36604cb735a660b51b0b2f90be27d803b5878f3464fb30d0eacead59c1260d |
55,762 | 142,125 |
census_cps_2023.h5 |
ASEC 2024 (2023) | 299,036,610 | cb57817327799f42b741caed5f9be94d04021c2e6809c1ad7bd0686da5428d88 |
56,251 | 144,265 |
census_cps_2022.h5 |
ASEC 2023 (2022) | 301,129,278 | 7ccca976284bb47815d84460cc4f75a0a65d26d7754ab0a0f417de351b3d474e |
56,839 | 146,133 |
For 2022-2024, household and person counts are the ones the Microcosm base stage recorded when it read these exact bytes on 16 September 2026. For 2025 they are the row counts of the file's household and person tables.
Provenance
Each file is an HDF5 store (pandas HDFStore, fixed format) of the person, family, household, SPM unit and tax unit tables of the Census Bureau's public-use CPS ASEC release for that year:
- 2025:
https://www2.census.gov/programs-surveys/cps/datasets/2026/march/asecpub26csv.zip(139,103,894 bytes, SHA-256fe819d0d2fc4470c282e76c247b8aa8b6054811619730307e9f2fe6186707d93, Last-Modified 15 September 2026) - 2024:
https://www2.census.gov/programs-surveys/cps/datasets/2025/march/asecpub25csv.zip - 2023:
https://www2.census.gov/programs-surveys/cps/datasets/2024/march/asecpub24csv.zip - 2022:
https://www2.census.gov/programs-surveys/cps/datasets/2023/march/asecpub23csv.zip
The 2022-2024 files were produced by PolicyEngine's retired US data package's Census CPS loader. The exact commit that wrote each file was not recorded, so these files are pinned by their bytes. The PolicyEngine organisation publishes earlier files with the same names in another repository; those have different bytes and are not interchangeable with these.
census_cps_2025.h5
Built by the same loader at PolicyEngine/policyengine-us-data@40314a75 ("Construct CPS tax units from household records", #824), plus one commit, MaxGhenis/policyengine-us-data@9f177ddd, that adds the income-year 2025 URL and stops requesting SPM_BBSUBVAL, which the ASEC 2026 person file no longer carries. The upstream repository is archived, so that commit lives on a fork.
That loader revision was chosen because, rebuilt from asecpub25csv.zip on 27 September 2026, it reproduces every table of census_cps_2024.h5 above exactly (same keys, columns, column order, dtypes, index and values). The rebuilt file's SHA-256 differs from the pinned one because HDF5 metadata is not byte-deterministic, which is why files here are pinned by the uploaded bytes rather than by a rebuild hash. The later archived loader head (42ed5d45) adds seven person columns the 2024 file lacks, so it was not used.
Relative to census_cps_2024.h5, the 2025 file's schema differs only where the Census files do:
person(161 columns) andspm_unit(38 columns) lackSPM_BBSUBVAL. It is omitted, not filled with zeros, because Census did not publish it for 2025.household(153 columns) lacksHBBSUB_MNTH,HBBSUB_YN,HECC_PROBTIME,HXCC_PROBTIME,I_HBBSUBMNTHandI_HBBSUBYN, and addsHTCC_PROBLOSSandHXCC_PROBLOSS, ashhpub26.csvdoes.family(85 columns) andtax_unit(1 column) have the same columns.
All 18 NOW_* at-interview coverage recodes the 2024 file carries are present with codes {1, 2}.
Licence and source terms
The underlying data are public-use microdata from the US Census Bureau and are in the public domain in the United States. PolicyEngine's processed files are offered under CC BY 4.0. The Census Bureau does not endorse this product.
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