[codebyaditya]

Author here. Quick methodology notes:

Data: 20,225 H-1B LCA disclosures from DOL, FY2024, healthcare occupations only Analysis: Python (pandas), mapped ZIP → RUCC codes, median wage by volume quintile Key limitation: This is LCA data (intent to hire), not final USCIS approvals

Interesting rabbit holes:

Urban/rural split isn't binary—codes 4-6 show gradient effects

Wage level inversions strongest in codes 7-9 (most rural)

Happy to answer methodology questions.