US Labor Market Detail
The US labour market beyond the headline unemployment rate, in one clean Parquet: JOLTS job openings, quits rate, hires and layoffs (the labour-turnover picture), plus the labour-force participation rate, employment-population ratio, U-6 underemployment, average hourly earnings and average weekly hours. Monthly, aligned on date. The US complement to our European and OECD labour panels. Public domain at origin (BLS); FRED is only the retrieval pipe.
- Source
- FRED
- Licence
- Redistributable open data
- Updates
- Monthly
- Data through
- 2026-07-11
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- 13 US labour-market indicators beyond the headline unemployment rate
- JOLTS: job openings, quits rate, hires, layoffs - the turnover / tightness picture
- Participation rate, employment-population ratio (total + prime-age 25-54), U-6 underemployment
- Unemployment level, continued jobless claims, manufacturing employment
- Average hourly earnings + average weekly hours (wage & hours pressure)
- Monthly, aligned on date, back to 1990; the US complement to our EU/OECD labour panels
- Public domain at origin (BLS) - attribute the agency, not FRED
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | Always US | 100.0% | 1 |
| ts | timestamp (UTC) | Observation month | 100.0% | 2,282 |
| measure | str | Indicator (Job openings, Quits rate, Participation rate, …) | 100.0% | 13 |
| value | float | Value | 100.0% | 3,135 |
| unit | str | Unit (varies by indicator) | 100.0% | 5 |
| res_min | int | Native resolution (monthly) | 100.0% | 2 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: FRED (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("us-labor-market_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 1 zones
US
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