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The LEHD Commuter Flows dataset contains ~454K origin-destination pairs derived from Census Bureau LODES v8 (Longitudinal Employer-Household Dynamics). Each pair represents a commute flow between two H3 resolution-8 cells, enriched with income breakdowns, NAICS sector counts, and Codex-computed accessibility indices. Every record inherits the full APRS envelope (record_id, chunk_id, bitemporal fields, confidence_score, provenance) and carries the join keys documented below.

Dataset-specific fields

Flow identifiers

Worker counts

Codex enrichments

Income bands

The income_band field is derived from the LODES earnings breakdown:

Accessibility index

The accessibility_index is a Codex-computed score that factors in transit coverage, commute distance, and commute volume between the origin and destination cells. It is useful for identifying well-connected corridors versus underserved commute routes.
Census LODES data includes noise infusion to protect respondent privacy. Codex preserves this noise as-is — small counts (under ~10 workers) may not reflect exact flows.

Join keys

Example query

Find the highest-volume commute corridors into a downtown cell:

Known limitations

  • LODES data lags by 2–3 years. The lehd_year field indicates the reference year — it does not reflect current conditions.
  • Census noise infusion means small cell-pair flows (under ~10 workers) carry significant uncertainty.
  • Block-level granularity is collapsed to H3 resolution 8. Multiple Census blocks may map to the same H3 cell.
  • metro_slug is null for flows in rural areas outside defined metro boundaries.