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Données ouvertes

Bibliothèque

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.

6 jeux de données

states

  • FEMA disaster declarations (agent-curated)

    US federal disaster-declaration intelligence (annual)

    Annual state x year intelligence on US federal major-disaster (DR) declarations, 1953 to present, from FEMA's keyless OpenFEMA API v2. Each row is one of 59 states/territories/freely-associated states (plus a US national aggregate row) for one calendar year: distinct DR declaration count (deduped from the one-row-per-designated-area feed by femaDeclarationString), designated-area totals and areas-per-disaster, IA/PA/HM program counts and IA share, hazard-family counts under the connector's closed 9-family taxonomy (tropical-cyclone, severe-storm, flood, winter-storm, wildfire, earthquake, landslide, coastal-storm, other — note 'other' carries the Biological (COVID-19) pandemic declarations) with the dominant family and its share, the year's most common verbatim incident type, year-matched Census population estimates (Vintage 2019 for 2010-2019, Vintage 2025 for 2020-2025; 2026 reuses 2025; null before 2010 and for non-Census-covered areas), disasters per 100,000 people, year-over-year change and a trailing-3-year mean, and two documented 0-100 burden scores (burden_score: mean of within-year min-max-normalized disaster count, designated areas, IA disasters; burden_percap_score: within-year normalized disasters per 100k). Units: counts, percent, per-100k, scores. Caveats: DR declarations only (no emergency/FM); counts are designations, not damage dollars; incidentType is the declaration-level FEMA label. Primary key: (state_code, year). Cadence: yearly; as_of is the latest declaration date in the data, so identical input produces an identical content hash. FEMA records under use-restricted terms (statistical research/reporting only) — commercial_use = unclear with the mandated non-endorsement disclaimer. Sample use: rank burden_percap_score within a year for the states hit hardest relative to population, or track flood_count trends by state.

    • natural-hazards
    • disaster
    • fema
    • us
    lignes
    4 440
    Qualité
    87
    Mis à jour
    27 sept. 2026
    À jour
    Licence
    Licence incertaine

  • State Coincident-Activity Signals (derived)

    US state coincident-activity signals (Philadelphia Fed index momentum, state-vs-nation divergence, anomalies)

    Monthly signals derived from the Philadelphia Fed's Coincident Economic Activity Indexes (redistributed by FRED): 30-month annualized change volatility, 3-month momentum, year-over-year change, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, a per-month cross-state volatility rank, the state-minus-nation cycle-divergence gauge and a 24-month growth z-score (the state business-cycle heat gauge). Covers the national index plus all 50 state indexes from 1979. All rows are normalized to country_code USA so they join cleanly with US macro data; the state identity rides in series_id. Raw series: Federal Reserve Bank of St. Louis (FRED); underlying data: Federal Reserve Bank of Philadelphia.

    • business-cycle
    • states
    • coincident-index
    • regional
    lignes
    29 103
    Qualité
    100
    Mis à jour
    22 sept. 2026
    À jour
    Licence
    Usage commercial OK

  • State GDP Signals (derived)

    US state GDP signals (BEA all-industry output by state)

    Annual US state GDP signals from FRED/BEA (1997 -> latest): all-industry total GDP for the 50 states + DC with 1-year and 10-year growth rates, 10-year growth volatility, 3-sigma anomaly flags, drift forecasts, 10-year growth z-scores and gauges: each state's share of US GDP, a contraction flag and an outperform-vs-US flag. The output lens on regional growth — the GDP companion to the coincident index in fred-state-cycle-signals and the labor lens in state-labor-signals. Raw series: Bureau of Economic Analysis via FRED.

    • gdp
    • states
    • regional
    • bea
    lignes
    1 558
    Qualité
    97
    Mis à jour
    22 sept. 2026
    À jour
    Licence
    Usage commercial OK

  • US State Personal-Income Signals (derived)

    US state personal-income signals (regional income growth)

    Quarterly US state personal-income signals from BEA total personal income (FRED <USPS>OTOT series, 49 states + DC — North Carolina excluded, FRED's NCOTOT is corrupted — 1948-Q1 ->): year-on-year growth, quarter-on-quarter change, 4-quarter volatility, 3-sigma anomaly flags, naive-drift forecasts, 5-year growth z-scores, per-quarter growth ranks, each state's share of US personal income, outperform-vs-US and contraction flags. The income lens on US regions — what households actually receive — complementing state-gdp-signals (output), state-labor-signals (unemployment), and state-cycle-signals (coincident index). The US benchmark is the sum of the 50 included state series each quarter (North Carolina excluded — FRED's NCOTOT is corrupted). All rows normalized to country_code USA. Raw series: U.S. Bureau of Economic Analysis via FRED.

    • personal-income
    • states
    • regional
    • bea
    lignes
    15 634
    Qualité
    100
    Mis à jour
    22 sept. 2026
    À jour
    Licence
    Usage commercial OK

  • US State Unemployment Signals (derived)

    US state unemployment signals (50 states + DC, regional divergence, anomalies)

    Value-added regional labor signals derived from FRED's free BLS state unemployment-rate series: all 50 states plus the District of Columbia, monthly seasonally adjusted. Each row carries change volatility, 3-month momentum, 12-month change (pp), a trailing-1y rate z-score, 3-sigma anomaly flags, naive-drift 1-month forecasts, a per-month cross-state volatility rank, and the cross-state unemployment dispersion gauge (regional labor-market divergence). All computation is local pandas/numpy; no paid models or APIs.

    • unemployment
    • labor-market
    • regional
    • states
    lignes
    30 957
    Qualité
    100
    Mis à jour
    22 sept. 2026
    À jour
    Licence
    Usage commercial OK

  • US State Wage-Growth Signals (derived)

    US state wage-growth signals (regional pay pressure)

    US state-level average hourly earnings signals (BLS via FRED, 50 states + DC, monthly 2007 ->): 12-month wage growth, 3-month momentum, 30-period change volatility, 3-sigma shock flags, drift forecasts, 5-year pay-pressure z-scores, the state-vs-US growth gap and cross-state growth ranks. The regional pay-pressure lens: where wages run hot or cold across the country. BLS data via FRED (free, keyless-by-reuse of the existing FRED key).

    • wages
    • earnings
    • labor-market
    • states
    lignes
    12 036
    Qualité
    99
    Mis à jour
    22 sept. 2026
    À jour
    Licence
    Usage commercial OK

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