US labor-demand signals (JOLTS openings, hires, quits)
Monthly US labor-demand signals from BLS JOLTS data (via FRED, 2000 ->): job openings, the hires rate and the quits rate, with 3-month momentum, 30-month change volatility, 3-sigma anomaly flags, drift forecasts, 3-year demand z-scores, a hires hiring-freeze flag, a quits-based worker-confidence gauge and a vacancy-surge flag. The labor-DEMAND companion to the labor-supply levels in us-labor-market-signals: how tight the labor market is from the employer's and the worker's side. All rows normalized to country_code USA. Raw series: Bureau of Labor Statistics (JOLTS) via FRED.
Qualité
Attribution
Bureau of Labor Statistics (JOLTS) via FRED; derived signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference month (FRED observation date; JOLTS reference month). |
| country | string | United States (all series are US national). |
| country_code | string | ISO 3166-1 alpha-3 code: USA. |
| series_id | string | FRED series ID: JTSJOL (Job Openings: Total Nonfarm), JTSHIR (Hires: Total Nonfarm) or JTSQUR (Quits: Total Nonfarm). |
| series_label | string | Official FRED/BLS series title as published in the series metadata. |
| value | float | Published value: job openings in thousands of persons (JTSJOL), or the hires/quits rate in percent of total employment (JTSHIR, JTSQUR); Bureau of Labor Statistics JOLTS via FRED. |
| volatility_30d | float | |
| momentum_3m | float | |
| yoy_change_pp | float | |
| yoy_change_pct | float | |
| demand_z_3y | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| hiring_freeze_flag | float | |
| quit_confidence_z | float | |
| openings_surge_flag | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | yoy_change_pp | yoy_change_pct | demand_z_3y | anomaly_flag | forecast_1m | rank | hiring_freeze_flag | quit_confidence_z | openings_surge_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-12-01 | United States | USA | JTSHIR | Hires: Total Nonfarm | 4.1 | — | — | — | — | — | 0 | — | — | — | — | — |
| 2001-01-01 | United States | USA | JTSHIR | Hires: Total Nonfarm | 4.3 | — | — | — | — | — | 0 | — | — | — | — | — |
| 2001-02-01 | United States | USA | JTSHIR | Hires: Total Nonfarm | 4 | — | — | — | — | — | 0 | — | — | — | — | — |
| 2001-03-01 | United States | USA | JTSHIR | Hires: Total Nonfarm | 4.2 | — | 0.10000000000000053 | — | — | — | 0 | — | — | — | — | — |
| 2001-04-01 | United States | USA | JTSHIR | Hires: Total Nonfarm | 3.9 | — | -0.3999999999999999 | — | — | — | 0 | — | — | — | — | — |
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/labor_demand_signals/us_labor_demand_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/labor_demand_signals/us_labor_demand_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/labor_demand_signals/us_labor_demand_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.