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
Weekly eviction-filing pressure intelligence for 43 US cities/regions from the keyless Princeton Eviction Lab Eviction Tracking System (court filing counts aggregated from census tract / ZIP rows, 2019-12-29 onward). Method: resolve the 43 ETS site labels to city/state/ISO codes via a closed dict (unknown sites fail loudly), sum tract filings to city-weeks, and derive filings vs the publisher's prepandemic baseline average (``filings_vs_baseline``, null where a site has no baseline), a 4-week moving average with 4-week momentum, a documented 0-100 ``eviction_pressure_score`` (100 * clip(ratio,0,2)/2), and fixed-cut pressure tiers (subdued/normal/elevated/severe). Caveats: the most recent ~3 weeks are undercounted from court processing delays (publisher footnote; flagged ``preliminary_flag`` = 1 — filter to 0 for stable signals); the prepandemic-baseline variant is unpublished for 4 sites (Atlanta, Oklahoma City, Other Oregon Counties, Toledo); 'sealed' GEOID rows are real filings with unresolvable tracts, kept in city totals. Units: filing counts per week; ratios unitless; score 0-100. Original aggregation of openly published court-record counts; commercial reuse status unclear — attribution required, see license. Sources: Eviction Lab, Princeton University, Eviction Tracking System v3.0.
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