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.
Quality
Attribution
Bureau of Labor Statistics (JOLTS) via FRED; derived signals by Frontier Data Hub
Schema
| Column | 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 |
Sample rows
| 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 | — | — | — | — | — |
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_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)API endpoint: https://datazimuts.com/v1/datasets/labor_demand_signals/us_labor_demand_signals
Tip: fetch /llms.txt for the full machine-readable catalog.