090°Open data
Open datasets, fully documented — searchable here, and readable by any LLM.
1 datasets
U.S. Bureau of Labor Statistics
US state wage-pressure intelligence from the BLS Current Employment Statistics state program bulk flat files (keyless, U.S. public domain): 50 states plus DC and Puerto Rico, monthly January 2007 to the latest published month, NOT seasonally adjusted. Core measures: average hourly earnings of all private employees (dollars) and average weekly hours. Method: the closed 104-series slice (2 measures x 52 areas) is resolved from sm.series; every per-state data file is streamed and only wanted series are kept; M13 annual averages are dropped; any in-window gap, duplicate, or non-positive value fails the ingest loudly. Derived signals per state: year-over-year percent change of earnings and hours (the seasonal proxy for unadjusted data), month-over-month change of earnings, within-month national ranks of earnings and hours growth, a documented 0-100 wage_pressure_score (fixed weights: 50% earnings-YoY level vs the state's own history, 30% clipped YoY direction, 20% clipped hours direction), within-month national quintile tier of the score, and flags for rapid wage growth (YoY >= 5%), wage decline, hours contraction, and 12-month record earnings. Use as prediction features: join to customers/orders/leads by state_code + month for demand, churn, and lead-scoring models — local wage growth leads changes in discretionary spending and subscription affordability, while contracting hours lead labor-market softening. Caveats: the data are not seasonally adjusted so always use YoY (not MoM) signals; the score is relative to each state's own history, not an absolute cross-state level comparison; the latest 1-2 months are routinely revised.
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