090°Données ouvertes
Jeux de données ouverts, entièrement documentés — interrogeables ici, et lisibles par n’importe quel LLM.
Les titres et les descriptions proviennent des sources de données, en anglais.
1 jeux de données
U.S. Census Bureau
Annual US county solo-economy intelligence from the keyless U.S. Census Nonemployer Statistics bulk county files (2020-2024): one row per year per county (~3,143 counties) for the all-industries total — the annual census of businesses with no paid employees (sole proprietorships, partnerships, corporations without payroll). Each row carries nonemployer establishment counts, total receipts (normalized to whole dollars from the published $1,000s), average receipts per establishment, and the Census noise-infusion flag. Derived: exact year-over-year changes in establishments/receipts (null when the prior year is absent, never interpolated), 2020->2024 four-year CAGRs, and a documented 0-100 solo-economy score (50% winsorized establishment momentum + 50% winsorized receipts momentum, min-maxed over scored county-years) with per-state ranks and quartile tiers. Method: parse the all-industries county panel from each NES county file, resolve FIPS to canonical county names via the Census gazetteer (Connecticut's 2022 county-to-planning-region switch handled), null suppressed cells (never zero-fill), keep receipts in dollars. Caveats: cells carry Census noise infusion (flagged); scores are relative history gauges, not forecasts; reference year lags ~1.5 years. U.S. federal public domain (commercial reuse allowed with attribution to the U.S. Census Bureau).
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