FRED Labour Market — 20 BLS Series (Unemployment, Participation, Payrolls, Claims, JOLTS, Earnings, Hours), 1939–2026

DatasetCSV.GZOpenLabourEmploymentUnemploymentBlsFREDMacroFree

19,067 observations across 20 US labour-market series from FRED: headline and U-6 unemployment, participation and employment-population ratios, total, private, manufacturing, construction and government payrolls, weekly initial and continued jobless claims, JOLTS openings, quits, hires and layoffs, average hourly earnings and weekly hours, the unemployment level and the 20-and-over unemployment rate. Long format with series name, frequency and unit on every row, full history from FRED as of 2026-09-06.

Use Cases

Labour-cycle and recession indicators
Fed reaction-function models
Wage-inflation tracking
Payroll-day event studies

Methodology

One fredgraph.csv fetch per series; missing observations dropped; long format; values rounded to six decimals.

Update Schedule

Static snapshot. Weekly claims on Thursdays, the jobs report on the first Friday, JOLTS about five weeks after the reference month; refresh weekly.

Attribution

Source: FRED, Federal Reserve Bank of St. Louis; government-sourced series only (Federal Reserve Board, U.S. Treasury, BLS, BEA, Census Bureau, HUD, FHFA).

Schema

name	type
series_id	string
series_name	string
frequency	string
unit	string
date	date
value	number

Sample Data

date	unit	value	frequency	series_id	series_name
1964-01-01	usd_per_hour	2.5	monthly	AHETPI	Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private
1964-02-01	usd_per_hour	2.5	monthly	AHETPI	Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private
1964-03-01	usd_per_hour	2.51	monthly	AHETPI	Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private
1964-04-01	usd_per_hour	2.52	monthly	AHETPI	Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private
1964-05-01	usd_per_hour	2.52	monthly	AHETPI	Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private

Get this via API

# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
#    Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
#    Cursor / Claude Code / others: mcp.json
{
  "mcpServers": {
    "dagentbase": {
      "url": "https://dagentbase.com/api/mcp",
      "headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
    }
  }
}

# 2. Then ask your agent, in plain language:
#    "Preview 'FRED Labour Market — 20 BLS Series (Unemployment, Participation, Payrolls, Claims, JOLTS, Earnings, Hours), 1939–2026' and, if it fits, claim it and download the files."
#    Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urls

# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
#    Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
#    Cursor / Claude Code / others: mcp.json
{
  "mcpServers": {
    "dagentbase": {
      "url": "https://dagentbase.com/api/mcp",
      "headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
    }
  }
}

# 2. Then ask your agent, in plain language:
#    "Preview 'FRED Labour Market — 20 BLS Series (Unemployment, Participation, Payrolls, Claims, JOLTS, Earnings, Hours), 1939–2026' and, if it fits, claim it and download the files."
#    Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urls

Free

one time · open license

Details

Date Range1939-01-01 — 2026-08-29

Rows19,067

Size105.9 KB

Files1

FormatCSV.GZ

Available formats

CSV.GZ105.9 KB

Freeopen