Non-Farm Payrolls (NFP) by Country

Latest released Non-Farm Payrolls (NFP) value for every supported currency, with the previous reading, the change between releases, reference date, frequency, unit, and source.

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Labor Market
Non-Farm Payrolls (NFP) across supported currencies

Number of workers in the U.S. excluding farm workers.

Updated 04 May 2026 06:08 UTC.
1 with data 1 supported currencies
Each row links to the per-currency reference page and the underlying API endpoint at /api/v1/announcements/{currency}/non_farm_payrolls. Non-USD endpoints require an API key query parameter.
Country / Currency Latest Previous Change Reference Frequency Unit Source
United States
USD · US Dollar
158,637
31 Mar 2026
158,459
28 Feb 2026
▲ +178 31 Mar 2026 Monthly Thousands FRED (BLS)

What is Non-Farm Payrolls (NFP)?

US Non-Farm Payrolls (NFP) measures the net change in the number of paid US workers excluding farm, government, private household, and non-profit employees. It is published on the first Friday of each month at 08:30 ET by the Bureau of Labor Statistics and is the single highest-volatility macro release in global markets.

Why it matters for FX

NFP is the market's monthly proof-of-life on the US labour market. Surprises move the dollar, US Treasury yields, gold, and equities within seconds — a hot print pulls forward Fed-hike expectations and lifts USD across the board, while a soft print does the opposite. The reaction is amplified when the print conflicts with the Fed's stated reaction function.

How to read this page

Three numbers move FX: the headline jobs change, average hourly earnings (wage proxy), and the unemployment rate. Revisions to the prior two months often reverse the headline reaction within minutes. Compare to ADP private payrolls for cross-validation.

What to watch for

  • Headline change vs consensus (the surprise)
  • Two-month revisions overriding the headline
  • Average hourly earnings month-over-month
  • Birth/death model adjustment in turning points
  • Household survey vs establishment survey divergence