090°Open data
Open datasets, fully documented — searchable here, and readable by any LLM.
1 datasets
US State Retail Demand (Census MSRS via FRED, keyless)
Monthly US state retail-demand panel, 2019-01 onward, for 52 geographies (50 states + District of Columbia + the USA national aggregate) x 12 retail measures (Total retail sales excluding nonstore retailers + the 11 NAICS 3-digit retail subsectors): the Census Monthly State Retail Sales year-over-year percent change (not seasonally adjusted), redistributed by FRED as MSRS<STATE><SECTOR> series, with YoY acceleration, 3-month trend, deviation from the national sector, a documented 0-100 demand-pressure score, per-month-x-sector demand ranks, d1..d4 demand tiers, and contraction/soft/steady/strong/booming demand regimes. MSRS is an experimental modeled Census product (Monthly Retail Trade Survey + administrative + third-party data) released with a ~4-month lag; series are complete by construction except one documented upstream gap — 2020-05 for the clothing sector (blank on FRED, the COVID retail shutdown), kept as honest nulls — and small-state niche sectors have genuine interior gaps (e.g. Alaska sporting-goods blank 2025-05..2025-09) and genuine discontinuations (Alabama sporting-goods ends 2026-01), also kept as honest nulls. The fail-loud gates guard the FEED's liveness (global latest month within 200 days) and structure (closed 624-series world, no duplicates, implausible-value bound), not per-series recency or interior completeness. One row per state x sector x month; join keys: state_code, sector_code, year_month, country_code=USA. Who joins this: Shopify shops join demand_pressure_score on month + state + sector to forecast category demand and time promos; subscription businesses use state retail demand as a consumer-strain churn feature; sales teams rank territories by retail vitality.
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