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Datasets:
lukeslp
/
us-inequality-atlas

Tasks:
Tabular Classification
Feature Extraction
Languages:
English
Size:
1K<n<10K
Tags:
inequality
food-deserts
healthcare
housing
veterans
disability
License:
Dataset card Files
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
source: string
table: string
description: string
records: int64
columns: list<item: string>
fips_column: string
collection_date: timestamp[s]
license: string
vs
source: string
table: string
variable: string
description: string
geography: string
record_count: int64
collection_date: timestamp[s]
api_url: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 572, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              source: string
              table: string
              description: string
              records: int64
              columns: list<item: string>
              fips_column: string
              collection_date: timestamp[s]
              license: string
              vs
              source: string
              table: string
              variable: string
              description: string
              geography: string
              record_count: int64
              collection_date: timestamp[s]
              api_url: string

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US Inequality Atlas

County-level inequality data for all ~3,200 US counties, keyed on 5-digit FIPS codes. Covers food deserts, healthcare access, housing affordability, hospital infrastructure, veteran demographics, disability prevalence, income inequality (Gini coefficient), education attainment, unemployment, and poverty depth.

Categories

Category Key File Records Source
Food Deserts food_deserts/food_desert_merged.csv 3,222 Census ACS + USDA
Healthcare healthcare/healthcare_desert_merged.csv 3,222 Census ACS + HRSA
Housing housing/housing_crisis_merged.csv 3,222 Census ACS 2022
Hospitals cms/cms_hospitals_20260121.csv 5,421 CMS Hospital Compare
Veterans veterans/military_firearm_merged_analysis.csv 54 Census + CDC + VA
Economic (Gini) economic/gini_by_county.csv 3,222 Census ACS 2022 (B19083)
Economic (Unemployment) economic/unemployment_by_county.csv 3,222 Census ACS 2022 (B23025)
Economic (Poverty Depth) economic/poverty_depth_by_county.csv 3,222 Census ACS 2022 (C17002)
Education education/education_by_county.csv 3,222 Census ACS 2022 (B15003)
Disability disability/census_disability_by_county_2022.csv 3,222 Census ACS 2022 (S1810)

FIPS Code Convention

All files use 5-digit FIPS codes (state_fips + county_fips): "01001" = Autauga County, Alabama.

Sources

License

MIT. Source data is US federal (public domain). Compiled by Luke Steuber.
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