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
US County Poverty & Income Intelligence
Census Bureau SAIPE state-and-county bulk files (keyless official text downloads, U.S. public domain): 510 per-state files stacked into a county x estimate-year panel (3,140-3,142 publishable counties per vintage, 31,408 rows over 2015-2024) with all-ages and child (0-17) poverty counts and rates plus 90% confidence intervals, median household income with intervals, year-over-year and 5-year poverty-rate momentum in percentage points and income YoY percent change. A documented 0-100 household-stress score (45% all-ages poverty rate + 35% child poverty rate + 20% inverse median income, winsorized at 1/99 and min-maxed within each year) is ranked nationally (stress_rank) and within each state, tiered s1-s4, with persistent-high-poverty (>=20% for 3 straight years), improving (YoY <= -1pp) and worsening (YoY >= +1pp) flags. Primary key: (county_fips, estimate_year). Cadence: yearly; each estimate year comes from its own SAIPE release (vintage stack, methodology revisions not restated), as_of is the latest vintage's file-release date and identical input produces an identical content hash. Caveats: model-based estimates (use the CI columns for significance); county-boundary revisions (notably Connecticut 2022) yield null momentum, never fabricated links. Sample use: order by stress_rank within an estimate year for the most stressed counties, or filter state_code for within-state household-strain geography.
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