{
  "_stub": true,
  "_description": "DOGE federal workforce cuts by agency with spending paradox data",
  "_sources": [
    "AllSides DOGE tracker: https://www.allsides.com/blog/doge-effect-tracking-trumps-cuts-federal-agencies-and-funding",
    "CAP by district: https://www.americanprogress.org/article/doge-cuts-by-city-state-and-congressional-district/",
    "Cato analysis: https://www.cato.org/blog/doge-produced-largest-peacetime-workforce-cut-record-spending-kept-rising-0",
    "Office of Personnel Management"
  ],
  "_fields": {
    "agency": "Federal agency name",
    "pre_doge_headcount": "Workforce before cuts",
    "post_doge_headcount": "Workforce after cuts",
    "reduction": "Number cut",
    "reduction_pct": "Percentage cut",
    "rehired": "Number rehired after initial cuts",
    "fy2025_budget_millions": "Budget in FY2025",
    "fy2026_proposed_millions": "Proposed FY2026 budget",
    "budget_change_pct": "Percentage change"
  },
  "_key_numbers": {
    "total_workers_cut": 317000,
    "largest_peacetime_workforce_cut": true,
    "stem_phds_lost": 10109,
    "stem_phd_pct_of_2024_total": 14,
    "fy2025_total_spending_trillions": 7.0,
    "fy2025_spending_increase_billions": 301,
    "notable_cuts": {
      "nasa": {"from_billions": 7.3, "to_billions": 3.9, "cut_pct": 47},
      "nih": {"cut_billions": 4.0},
      "education": {"workforce_rif_pct": 50}
    },
    "fy2026_budget_proposal": {
      "defense_change_pct": 13,
      "civilian_nondiscretionary_change_pct": -23
    }
  },
  "data": []
}