Country samplers

India, China, and the USA, treated as worked examples of the FAND template.

Strawman. The launch trio (India / China / USA) is John’s selection per the strategic brief. The build_country_page.py pipeline can produce any ISO3 country on demand — see issue #4 for the data-shape decision.

Country samplers

Three deep dives at launch, with the architecture in place to add more on demand.

The launch trio

• India — balance-sheet snapshot, 1950–2025
• China — balance-sheet snapshot, 1950–2025
• USA — balance-sheet snapshot (TL1 / international view). For the bottom-up FIPS=00000 view enriched with US-specific intergenerational liabilities, see US states.

What each country page shows

The balance sheet at decadal resolution (1955, 1965, … 2025), structured as:

• Per-capita view — CW_pc, PA_pc, NC_pc, HR_pc, SR_pc, CBA_pc, CBL_pc, NW_pc
• Aggregate view — same components in million current USD
• Natural Capital detail — fossil fuels, minerals (31 commodities), forests (timber + cover), agricultural land, fisheries
• Memo items — CW derivation inputs (GNI, working-age share, PMT, annuity factor) and HR derivation inputs (MYS, life expectancy)

See context/raw/twoexcelworkbookstohelpyouandkelebunderstandfreefa.zip for the existing USA and BRA worked examples from the pipeline.

(Placeholder. Replace with the content packet per country.)