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.
2 jeux de données
US Housing-Vacancy Signals (derived)
Quarterly US housing-vacancy signals from the Census Bureau (FRED RRVRUSQ156N rental vacancy and RHVRUSQ156N homeowner vacancy, 1956-Q1 ->): 1-year momentum, year-on-year change, 4-quarter volatility, 3-sigma anomaly flags, naive-drift forecasts, 5-year z-scores, a tight-rental-market (<7%) flag, and an elevated-homeowner-vacancy (>=2.5%) flag. The tightness lens on US housing — the direct gauge of supply/demand balance — complementing housing-signals (construction, prices, mortgage rates). All rows normalized to country_code USA. Raw series: U.S. Census Bureau (Housing Vacancy Survey) via FRED.
Inside Airbnb
Quarterly short-term-rental supply intelligence for 24 major US and Canadian cities, built from Inside Airbnb's public city listing files (CC-BY 4.0, keyless download): per-city listing counts, room-type mix, median nightly price in local currency and USD (CAD converted with the FRED DEXCAUS monthly average), availability distribution, review-velocity demand signals, professional-host concentration, license coverage, and listings per 100k residents. A documented absolute 0-100 demand-pressure score (40% inverse availability, 30% recent-review activity, 30% low-availability share) with hot/active/balanced/soft tiers summarizes tourism demand pressure per city. Scrape months follow Inside Airbnb's quarterly releases (current panel: June 2026). Caveats: one scrape per city per quarter and counts include inactive listings; prices are host-posted nightly rates before fees; Canadian USD prices rest on a monthly-average FX rate; city populations are approximate 2024 reference values. Source: Inside Airbnb (CC-BY 4.0).
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