US labor-market slack signals (duration & underemployment)
Monthly US labor-market slack signals from BLS duration and underemployment series (FRED UEMPMEAN 1948 ->, U6RATE 1994 ->): 3-month momentum, year-on-year change, 30-month change volatility, 3-sigma anomaly flags, naive-drift forecasts, a long-duration (>=27 weeks) flag, an elevated-underemployment (U-6 >= 10%) flag, and 5-year z-scores for both. The slack lens on US labor — complementing us-labor-market-signals (headline levels) and sahm-labor-recession-signals (recession trigger) by watching unemployment duration and underemployment, where labor-market pain concentrates. All rows normalized to country_code USA. Raw series: U.S. Bureau of Labor Statistics (Current Population Survey) via FRED.
Qualité
Attribution
U.S. Bureau of Labor Statistics via FRED; signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation date (FRED API field date; YYYY-MM-DD, monthly). |
| country | string | |
| country_code | string | |
| series_id | string | UEMPMEAN: Average (Mean) Duration of Unemployment (FRED, weeks); U6RATE: Total unemployed plus discouraged and marginally attached workers plus part-time for economic reasons, as a percent of the civilian labor force (FRED, percent). Both from the U.S. Bureau of Labor Statistics, Current Population Survey. |
| series_label | string | UEMPMEAN: average number of weeks the unemployed have been out of work — the hysteresis gauge. U6RATE: the broadest BLS underemployment rate, including people the headline U-3 rate misses (discouraged, marginally attached, involuntary part-time). |
| value | float | UEMPMEAN in weeks; U6RATE in percent. Rising duration means the unemployed are stuck longer (labor-market scarring); a high U-6 means headline unemployment understates slack. |
| momentum_3m | float | |
| yoy_change | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| long_duration_flag | float | |
| underemployment_flag | float | |
| duration_z_5y | float | |
| underemployment_z_5y | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_3m | yoy_change | volatility_30d | anomaly_flag | forecast_1m | long_duration_flag | underemployment_flag | duration_z_5y | underemployment_z_5y |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1994-01-01 | United States | USA | U6RATE | Total unemployed plus discouraged and marginally attached workers plus part-time for economic reasons, as a percent of the civilian labor force (percent, BLS via FRED) | 11.7 | — | — | — | 0 | — | — | 1 | — | — |
| 1994-02-01 | United States | USA | U6RATE | Total unemployed plus discouraged and marginally attached workers plus part-time for economic reasons, as a percent of the civilian labor force (percent, BLS via FRED) | 11.4 | — | — | — | 0 | — | — | 1 | — | — |
| 1994-03-01 | United States | USA | U6RATE | Total unemployed plus discouraged and marginally attached workers plus part-time for economic reasons, as a percent of the civilian labor force (percent, BLS via FRED) | 11.5 | — | — | — | 0 | — | — | 1 | — | — |
| 1994-04-01 | United States | USA | U6RATE | Total unemployed plus discouraged and marginally attached workers plus part-time for economic reasons, as a percent of the civilian labor force (percent, BLS via FRED) | 11.3 | -0.3999999999999986 | — | — | 0 | — | — | 1 | — | — |
| 1994-05-01 | United States | USA | U6RATE | Total unemployed plus discouraged and marginally attached workers plus part-time for economic reasons, as a percent of the civilian labor force (percent, BLS via FRED) | 10.9 | -0.5 | — | — | 0 | — | — | 1 | — | — |
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_slack_signals/us_labor_market_slack_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/labor_slack_signals/us_labor_market_slack_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_slack_signals/us_labor_market_slack_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.