{
  "checked_on": "2026-10-15",
  "guide": "/guides/naics-2017-to-2022-python.html",
  "product": "naics",
  "publication_id": "05a0b81a1eeaa7b9a77c85c946b6f03358d88e411778971d4f3cffb9c4107a73",
  "archive_sha256": "4c8e598c4107e79a3084175394818837f08836592dba193cd4da98233d29867e",
  "source_edition": "2017-to-2022",
  "source_versions": {
    "classification_editions": [
      "2017",
      "2022"
    ]
  },
  "source_snapshot_id": "95fa49e8e5d655b9ed70dfaf10a0d667312f31a2cb611a1f171c2be04f30476a",
  "processing_recipe": {
    "name": "naics-concordance-processing",
    "revision": "1",
    "settings": {
      "row_order": "source"
    },
    "runtime": {
      "python": "3.13.6",
      "implementation": "CPython",
      "unicode": "15.1.0",
      "zlib": "1.3.1"
    },
    "code_sha256": {
      "naics/changes.py": "a730615f1419964feadea5a7f9e484db4205902758af204a29d3581b3dd56dab",
      "naics/processing.py": "b0beb2ab66cd40972b64095277a84d59eaaa82a73d00d1cfd975753f8dce1183",
      "naics/staging.py": "9bf76585f9839b0a537176963655f0cc7c1ef4c245d12e1ec630374f63a413f0",
      "release.py": "3e0666cd988ec8ccc01f7294756587d7436ef204c18acfdf4173d9b110c00b6f",
      "tabular.py": "086d25fe7b7201cfecd5921c6f7e450cea23e3c26d7716d971c5f40f875a44c2"
    },
    "packages": {}
  },
  "packaged_at": "2026-10-13T13:56:09Z",
  "reference_rows": {
    "crosswalk.csv": 5
  },
  "reference_selection": "All matching reference relationships for the example codes; original columns and cell values retained.",
  "input_note": "Customer records are fictional; reference records are unchanged selections from the paid release.",
  "inline_example_sha256": "7bc4f5721ac503845bc807691f26efb1c7d38fcb6790feb2228f06e05761e61b",
  "sample_and_full_results_equal": true,
  "files": {
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      "bytes": 485
    },
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    },
    "input.csv": {
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}