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by codebyaditya
152 days ago
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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. |
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