090°Open data
Open datasets, fully documented — searchable here, and readable by any LLM.
10 datasets
US County Economic Momentum Intelligence
County x year panel of economic momentum from BEA GDP by County (keyless bulk-download zips, full annual history 2001 -> latest, 3,127 counties). Real levels in thousands of chained 2017 dollars with YoY growth, 5y/10y CAGRs, and growth spreads vs the county's state and the nation in percentage points. Percentile-of-own-history growth and level scores (trailing 20 years) feed a documented 0-100 county-momentum index with per-year ranks and g1-g4 tiers. Dominant industry, current-dollar share, and industry HHI concentration per county-year (disclosed industries only — BEA suppresses values to avoid disclosure; suppressed rows are flagged). Surge, cooling, contraction, back-to-back-contraction, record-high, and preliminary flags mark regime years; the state and US national backdrop rides on every row.
Federal Reserve Beige Book (district tone intelligence)
Federal Reserve Beige Book district tone intelligence, January 2018 through the latest published release (~8 releases/year): one row per (release_date, fed_district) for the 12 Federal Reserve districts. Each district narrative is scored with a documented deterministic economic-valence lexicon (negator/intensifier rules, 3-token lookback) into a 0-100 tone_score, plus five aspect mention rates per 1,000 words (labor, price, demand, credit, uncertainty), release-over-release tone change, a trailing-4-release tone z-score, and the within-release tone rank. Derived scores only — no Federal Reserve prose is redistributed. Source: Board of Governors of the Federal Reserve System, Beige Book releases (keyless HTML). Join keys: release_date, fed_district, country_code=USA. Who joins this: regional sales teams join district tone to territory/account lists on (fed_district, release_date) to time outreach and weight pipelines; subscription businesses use the district tone series as a demand-regime feature; online shops join demand aspect rates and tone momentum to local demand planning.
US Regional CPI Inflation Divergence (BLS via FRED, keyless)
Monthly US regional CPI inflation-divergence panel, first observation onward, for the four Census regions (Northeast, Midwest, South, West): CPI-U all items, food, energy, and core (all items less food and energy), not seasonally adjusted, 1982-84=100, via keyless FRED fredgraph.csv. Each region-month carries 12-month and 1-month changes per component, the U.S. city-average benchmark YoY, the region-minus-US spread in percentage points, within-month inflation ranks and i1..i4 heat tiers, food-vs-energy and headline-vs-core driver gaps, a 24-month YoY z-score, acceleration flags, a documented 0-100 heat score with within-month heat rank, and a trailing-12-month record-high flag. October 2025 is null (BLS published no CPI during the federal appropriations lapse); component indexes start later than all-items in early history — honest nulls, never imputed. One row per region x month; join keys: region_code, year_month, country_code=USA. Who joins this: online shops join demand on region + month to tune pricing and promos against local inflation heat; subscription businesses price annual-plan escalators against regional core inflation; sales teams weight pipeline by regional cost pressure.
Monthly coincident-activity panel for the 50 US states: the Philadelphia Fed's state coincident indexes (dynamic single-factor model of payrolls, manufacturing hours, unemployment and real income; indexed to 2007 annual average = 100; history from January 1979) enriched into a join-ready signal - 1-month / 3-month / 12-month percent changes, a 0-100 momentum_score (percentile of the 12-month change in the state's own trailing-120-month history) with booming/strong/steady/soft/stalled bands, the 12-month change gap vs the US aggregate, a 3-consecutive-month-decline contraction flag, record-high and preliminary flags, and the US benchmark broadcast on every row. Keyless official .xls download; values subject to monthly revision. Who joins this: a sales team joins (month, state_code) to territory prioritization - states with accelerating coincident activity are expanding economies where prospects have budget; a subscription business joins it to market-expansion timing; an online shop joins it to regional demand forecasting.
State Coincident-Activity Signals (derived)
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.
State GDP Signals (derived)
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.
US State Personal-Income Signals (derived)
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.
US State Unemployment Signals (derived)
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.
US State Wage-Growth Signals (derived)
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).
UK House Price Index (HM Land Registry / ONS)
Monthly UK house prices from the UK House Price Index (HM Land Registry / Office for National Statistics, https://publicdata.landregistry.gov.uk/market-trend-data/house-price-index-data/UK-HPI-full-file-YYYY-MM.csv). Each row is one area (United Kingdom, Great Britain, England and Wales, the four nations, or one of the nine English regions) in one month: mix-adjusted average price (GBP), house price index (January 2015 = 100) raw and seasonally adjusted, 1-month and 12-month index changes (%), seasonally adjusted average price, sales volume, and average prices by property type (detached, semi-detached, terraced, flat). Method: keyless download of the latest monthly full-file release; national/regional rows selected locally. Units: GBP for prices, index points (2015-01=100), percent for changes, counts for sales volume. Caveats: Northern Ireland rows are updated quarterly inside the monthly release; ONS revises past months (revisions surface as new content-hashed snapshots); average prices are mix-adjusted, not simple means. Coverage: 1968-04 to the latest published month, monthly granularity, 16 areas. Provenance: UK HPI, Open Government Licence v3.0. Primary key: (area_code, date). Join keys: date, region_name. Cadence: refreshed monthly; a new snapshot appears only when a new monthly release (or revision) changes the data. Sample use: regional house-price momentum as a housing-market and consumer-wealth signal.
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