For national statisticians
The SNA's balance-sheet chapters already exist — most offices simply don't publish them, for reasons of budget and mandate rather than method.
You know the balance-sheet chapters of the SNA better than we do. What you also know is that publishing them end to end — produced assets, natural capital, the claims a country holds on and owes to the rest of the world — is a resourcing problem more than a conceptual one. Most offices publish a subset: a produced-assets stock here, an IIP there, rarely the whole closed identity. That gap is not a failure of the standard. It is what happens when a mandate meets a budget.
FAND is built to sit inside that gap, not to compete across it. It assembles the same identity — what a place owns, what it owes, and the trust infrastructure in between — from the series your office and its peer agencies already publish: WDI, IMF BOP/IIP/GFS, FAO, USGS, EIA, OECD, UN WPP, BIS on the international side. Nothing here is collected independently of the official record. Every figure is a synthesis of published official statistics, with the citation back to source, table, and year attached rather than summarized away.
The part that should read as familiar rather than novel is the QA disclosure. Every value carries a NUSAP signature — Numeral, Unit, Spread, Assessment, Pedigree — so a figure never arrives bare. National-level figures are the strongest tier: Tier 1 sourcing, a HIGH assessment, and a spread that reflects source uncertainty rather than ours. That is the honesty layer an official release would insist on internally; here it travels with the number in public. The United States exhibit linked above is the one page on this site rated Production rather than Experimental, for exactly that reason.
If you want to check the work rather than take it on faith, the replication package documents the pipeline stage by stage — which agency, which table, which vintage, and what happened where a series didn’t cover the years needed. And if your own office already has a partial balance sheet published, that is the most useful conversation we could have: not us persuading you FAND is right, but a direct comparison of two independent-but-related estimates of the same thing, published side by side with both pedigrees visible.
Start with the national exhibit to see the identity closed with real figures at full fidelity. Read the core-and-satellites essay next — it is the design-decision argument in language your own satellite-account debates will recognize, about what belongs in the core with a band and what belongs in orbit until better data resolves it.
Start here
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United States — national balance sheet Production
The one exhibit on this site rated Production rather than Experimental — trustworthy at standing ruling, publishable without qualification. National-scale figures are where FAND is strongest.
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Featured essay — Core and Satellites
The architecture argument in SNA-satellite-account language: what stays in the core with an uncertainty band, what orbits as a satellite, and why that boundary is a design decision rather than a discovery.
Related pages
- Source agency directory — The upstream agency, table, and vintage behind every figure — the same kind of citation trail your own office would require.
- NUSAP — data quality — The pedigree scheme. Built for exactly the QA disclosure an official statistics shop would demand before citing a number.
- Replication package — The pipeline that reproduces every published figure from public source data, with a checksum audit trail.
- Balance sheet equation — The identity itself, term by term — the SNA balance-sheet chapters as a single equation that closes to the cent.
Talk to us about your office's accounts
If your office already publishes a balance sheet or a partial one, we would rather cross-check FAND's figures against it than publish past it. Tell us what exists and what its coverage gaps are, and we will tell you plainly where our estimate agrees, where it diverges, and why.