090°Open data
Open datasets, fully documented — searchable here, and readable by any LLM.
6 datasets
U.S. Bureau of Labor Statistics
Monthly U.S. employment statistics from the BLS Current Employment Statistics (CES) survey: total nonfarm employment and total private employment (thousands of jobs), average weekly hours, and average hourly earnings of all employees on private nonfarm payrolls (dollars). Seasonally adjusted.
Productivity-Pay Gap Signals (derived)
Quarterly signals derived from BLS productivity and costs data (redistributed by FRED, 1947 ->): 30-quarter annualized change volatility, 1-quarter momentum, year-over-year change, 3-sigma anomaly flags vs a trailing 12-quarter baseline, naive-drift 1-quarter forecasts, a per-quarter cross-series volatility rank, the real pay-minus-productivity gap (both rebased to 1947 = 100 — the decoupling gauge) and a 10-year gap z-score (the decoupling-regime gauge). All rows are normalized to country_code USA so they join cleanly with US macro data. Raw series: Federal Reserve Bank of St. Louis (FRED); underlying data: U.S. Bureau of Labor Statistics.
BLS QCEW — US county wage & employment intelligence
Annual county-level U.S. wage and employment intelligence built as an intelligence layer over the Bureau of Labor Statistics Quarterly Census of Employment and Wages (QCEW) annual by-area files (keyless download, U.S. federal public domain): average weekly wage, annual pay, employment, establishments and total wages for every county, with BLS over-the-year changes, documented 0-100 wage-growth / jobs-growth / dynamism scores, ranks and tiers, surge/decline/elite-wage flags, and state + national wage context.
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).
Wage & Productivity Signals (derived)
Monthly/quarterly signals derived from FRED's US earnings and productivity data: 30-period annualized change volatility, ~3-month momentum, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, a per-date cross-series volatility rank, the real-wage year-over-year gauge (worker purchasing power) and the productivity-minus-pay gap (the decoupling gauge). Covers nominal average hourly earnings, a connector-derived real-earnings series (CPI-deflated) and nonfarm business labor productivity. All rows are normalized to country_code USA so they join cleanly with US macro data. Raw series: Federal Reserve Bank of St. Louis (FRED); underlying data: U.S. Bureau of Labor Statistics.
US Wage-Cost Pressure Signals (derived)
Quarterly US labor-cost signals derived from FRED: the Employment Cost Index (total compensation and wages & salaries — the Fed's preferred wage gauge) and nonfarm unit labor costs, with quarter-on-quarter annualized changes, year-on-year percent changes, 30-quarter annualized change volatility, 1-quarter momentum, 3-sigma anomaly flags vs a trailing 12-quarter baseline, naive-drift 1-quarter forecasts, a per-quarter cross-series volatility rank, CPI-deflated real ECI growth and the ECI-minus-unit-labor-cost spread (the wage-push vs productivity gauge). All rows are normalized to country_code USA so they join cleanly with US macro data. Raw series: Federal Reserve Bank of St. Louis (FRED); underlying survey: U.S. Bureau of Labor Statistics.
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