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El Salvador Education GDP Allocation Simulator

Macroeconomic compounding & sovereign fiscal workbench

Source Context: @elonmusk ⇄ @nayibbukele (8% Target)
Policy Mixing Desk Balanced with efficiency gains

National GDP Expenditure Allocations

Adjust national budgetary allocations relative to baseline $34.0B GDP & evaluate trade-offs.

Education & R&D (Target: 8.0%) 8.0%
2.0% (Deficit Cut) $2.72B / year 14.0% (Nordic Maximum)
Public Security & Defence 14.0%
4.0% (Civil Min) $4.76B / year 20.0% (Strict Control)
Healthcare & Public Wellness 6.5%
3.0% $2.21B / year 12.0%
Digital & Physical Infrastructure 5.0%
2.0% $1.70B / year 10.0%
Baseline GDP: $34.0B Fiscal Tax Revenue: 18.5% of GDP
Simulation Horizon: 10 Years Compounding
Annual Edu Budget
$2.72B
Based on 8.0% of GDP
GDP / Cap Growth
+42.1%
10-yr compound index
Projected Literacy
96.8%
Baseline was 89.2%
Tech Workforce
2.45x
STEM & tech capacity

10-Year Macro Trajectory Projections

Compounding returns of human capital vs sovereign baseline

GDP / Capita Index Literacy Rate %
Investing 8.0% of GDP ($2.72B/yr) boosts national STEM capacity by 2.45x over a decade.
Fiscal Ratio: 33.5% of GDP
Macroeconomic Mechanism & Empirical Model Grounding

Following President Nayib Bukele's commitment (praised by Elon Musk with "Bravo!"), dedicating 8% of sovereign GDP to education places El Salvador well above the Latin American median (~4.2%) and matches leading innovation economies. The simulation models endogenous growth theory (Lucas-Romer framework) where primary and secondary educational investment yields lagged productivity dividends, tech talent expansion, and tax base expansion.

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