US JOLTS labor market signals (openings, quits, layoffs churn gauge, anomalies)
Monthly labor-market signals derived from FRED's Job Openings and Labor Turnover Survey (JOLTS): 30-month annualized change volatility, 3-month momentum, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, a per-month cross-series volatility rank, and the quits-minus-layoffs churn spread (the tight-vs-loose labor market gauge). Covers job openings level and rate, quits rate, layoffs & discharges rate and hires rate. 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.
Qualité
Attribution
Federal Reserve Bank of St. Louis (FRED; underlying survey: U.S. Bureau of Labor Statistics; derived signals by Frontier Data Hub)
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation date (FRED API field date; YYYY-MM-DD, first day of the reference month). |
| country | string | |
| country_code | string | |
| series_id | string | FRED series ID, e.g. JTSJOL, JTSJOR, JTSQUR, JTSLDR, JTSHIR; resolves to the series page at https://fred.stlouisfed.org/series/<id>. |
| series_label | string | Official FRED series title as published for the series (Job Openings and Labor Turnover Survey, U.S. Bureau of Labor Statistics). |
| value | float | Observation value as published by FRED for this series: job openings level in thousands of persons (JTSJOL); job openings, quits, layoffs & discharges and hires rates in percent (JTSJOR, JTSQUR, JTSLDR, JTSHIR); see the series notes for methodology and revisions. |
| volatility_30d | float | |
| momentum_3m | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| churn_spread | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | anomaly_flag | forecast_1m | rank | churn_spread |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-12-01 | United States | USA | JTSHIR | Hires: Total Nonfarm | 4.1 | — | — | 0 | — | — | 0.7000000000000002 |
| 2000-12-01 | United States | USA | JTSJOL | Job Openings: Total Nonfarm | 5088 | — | — | 0 | — | — | 0.7000000000000002 |
| 2000-12-01 | United States | USA | JTSJOR | Job Openings: Total Nonfarm | 3.7 | — | — | 0 | — | — | 0.7000000000000002 |
| 2000-12-01 | United States | USA | JTSLDR | Layoffs and Discharges: Total Nonfarm | 1.5 | — | — | 0 | — | — | 0.7000000000000002 |
| 2000-12-01 | United States | USA | JTSQUR | Quits: Total Nonfarm | 2.2 | — | — | 0 | — | — | 0.7000000000000002 |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/jolts_signals/us_jolts_labor_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/jolts_signals/us_jolts_labor_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)Point d’accès API: https://datazimuts.com/v1/datasets/jolts_signals/us_jolts_labor_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.