US labor market signals (Sahm-rule recession indicator, claims anomalies, momentum, forecasts)
Daily-row labor-market signals derived from FRED's US labor series: the Sahm-rule recession indicator on the unemployment rate (trigger flag + consecutive-month streak), 30-period annualized volatility of changes, 3-month momentum, 3-sigma anomaly flags, naive-drift 1-month forecasts, a per-date cross-series volatility rank, and the 4-week moving average on weekly jobless claims. Covers UNRATE (monthly unemployment rate), PAYEMS (monthly nonfarm payrolls), ICSA (weekly initial claims, seasonally adjusted) and CCSA (weekly continued claims, seasonally adjusted). 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).
Quality
Attribution
Federal Reserve Bank of St. Louis (FRED; derived signals by Frontier Data Hub)
Schema
| Column | Type | Description |
|---|---|---|
| date | string | Observation date (FRED API field date; YYYY-MM-DD). |
| country | string | |
| country_code | string | |
| series_id | string | FRED series ID, e.g. UNRATE, PAYEMS, ICSA, CCSA; resolves to the series page at https://fred.stlouisfed.org/series/<id>. |
| series_label | string | Official FRED series title as published for the series. |
| value | float | Observation value as published by FRED for this series (unemployment rate in percent; nonfarm payrolls in thousands of persons; jobless claims in persons); see the series notes for methodology and revisions. |
| volatility_30d | float | |
| momentum_3m | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| sahm_rule | float | |
| sahm_trigger | integer | |
| sahm_streak | integer | |
| ma_4w | float |
Sample rows
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | anomaly_flag | forecast_1m | rank | sahm_rule | sahm_trigger | sahm_streak | ma_4w |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1939-01-01 | United States | USA | PAYEMS | All Employees, Total Nonfarm | 29923 | — | — | 0 | — | — | — | 0 | 0 | — |
| 1939-02-01 | United States | USA | PAYEMS | All Employees, Total Nonfarm | 30100 | — | — | 0 | — | — | — | 0 | 0 | — |
| 1939-03-01 | United States | USA | PAYEMS | All Employees, Total Nonfarm | 30280 | — | — | 0 | — | — | — | 0 | 0 | — |
| 1939-04-01 | United States | USA | PAYEMS | All Employees, Total Nonfarm | 30094 | — | 171 | 0 | — | — | — | 0 | 0 | — |
| 1939-05-01 | United States | USA | PAYEMS | All Employees, Total Nonfarm | 30299 | — | 199 | 0 | — | — | — | 0 | 0 | — |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/labor_signals/us_labor_market_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/labor_signals/us_labor_market_signals").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/labor_signals/us_labor_market_signals
Tip: fetch /llms.txt for the full machine-readable catalog.