Nonfarm payrolls, often shortened to NFP, are the headline jobs figure in the US monthly employment report. They estimate how many staff were added or lost across most of the American economy, excluding farm workers, private household employees and a few other categories. For FX, rates and equity traders, it is one of the most watched scheduled releases on the calendar.
What the report actually measures
The US Bureau of Labor Statistics publishes the employment situation report near the start of each month, covering the prior month. Nonfarm payrolls sit alongside the unemployment rate, average hourly earnings, and revisions to previous months. Payrolls come mainly from a survey of businesses; the unemployment rate comes from a survey of households. The two can diverge, which is why professionals read the package rather than a single line.
Goods-producing and service-providing industries are both included. Government jobs sit inside the total as well. Because the United States is such a large economy, even a “normal” monthly change involves hundreds of thousands of roles. Markets care about the surprise relative to forecasts as much as the absolute number.
Why traders watch it so closely
Jobs data feed the Federal Reserve’s dual mandate thinking on employment and inflation. A much stronger report can lift the odds that policy stays restrictive for longer. A much weaker report can raise the odds of easier policy ahead. Those shifts move interest-rate expectations, which then move the dollar, Treasury yields and equity risk appetite. Our companion piece on how payrolls move the dollar and Fed odds walks that chain.
Average hourly earnings matter inside the same release because wage growth feeds inflation debates. A hot payrolls number paired with firm wages is a different policy signal from strong hiring with cooling pay. See what average hourly earnings are for that line in more detail.
Revisions and the trap of one number
Previous months are often revised. A headline that looked strong on the day can be scaled back later, and vice versa. That is why experienced desks keep a running view of the trend rather than anchoring forever to one release. Seasonal adjustment quirks around holidays and weather can also distort a single month.
Beginners who trade the first tick without a plan often get caught when the unemployment rate, wages or revisions disagree with the payrolls headline. The report is a bundle. Reading it as a bundle is the edge.
How it sits beside other labour data
Weekly jobless claims, private payroll surveys and the quarterly employment cost index all add colour between the big monthly releases. None replaces nonfarm payrolls as the shared reference point, but they can change the mood going into the day. A run of rising claims can make a weak payrolls number feel more like a trend. Strong claims can make traders doubt a weak-looking headline until revisions and wages are checked. Using the supporting cast without abandoning the main event is part of professional process.
For equity traders, the path of least resistance after the release often depends on whether rate expectations and the dollar move in a growth-friendly or growth-hostile way. Strong jobs with rising yields can pressure long-duration growth shares even while cyclicals hold up. Weak jobs with falling yields can do the reverse. That cross-asset reading matters more than celebrating or mourning the headline alone.
Timing for UK desks
The release usually lands at 13:30 UK time. Liquidity thins just before, then explodes after. Spreads can widen in FX and index futures. A simple process – forecasts noted, scenarios written, size pre-set – beats improvisation. Our London-hours guide to US jobs day and the simple NFP checklist are built for that preparation.
Nonfarm payrolls will not stay the only labour indicator that matters, but they remain the market’s shared reference point. Learning to read the package without panic is a foundational macro skill, and the free assessment at assessment.samuelandcotrading.com is a useful way to test how clearly you connect jobs data to rates and FX.
