What is NFP?
Non-Farm Payrolls is the headline number of the monthly Employment Situation report. It estimates how many jobs the U.S. economy added or lost in the previous month, leaving out farm workers, private household staff and a few other small groups.
The figure comes from a survey of businesses and government agencies (the establishment survey) and is reported as a change in thousands: +150K means roughly 150,000 more jobs than the month before. Each report also revises the two previous months.
Why markets pay attention
Employment is one of the main things the Federal Reserve watches when it sets interest rates, so NFP shapes expectations about future U.S. monetary policy. The usual chain of reasoning — a tendency, not a rule — looks like this:
- Strong job growth → more spending power and possible inflation pressure → a higher chance of tighter Fed policy → often supportive for the U.S. dollar.
- Weak job growth → a slowing economy → a higher chance of easier Fed policy → often a headwind for the U.S. dollar.
- Because so many participants watch the same number at the same moment, liquidity and volatility usually jump around the release.
What to look at before the release
Reading NFP well starts before the number comes out. It helps to know:
- the Previous value — and whether it is likely to be revised;
- the Forecast, which is what the market has largely priced in already;
- the wider context: what the market currently expects from the Fed, and whether the dollar has been strong or weak;
- early signals such as ADP Employment and weekly jobless claims, which hint at how likely a surprise is.
NFP and related releases
The same report contains the Unemployment Rate, which comes from a separate survey of households. The two occasionally point in different directions, and the market weighs them together.
ADP Employment is published a few days earlier from private payroll data and is often watched as an early hint, although the two numbers regularly differ. Weekly Initial Jobless Claims give a more frequent view of layoffs between NFP reports.
Actual, Forecast and Previous
Every release on an economic calendar comes with three numbers:
- Actual
- The result just published. Nobody knows it until the release.
- Forecast
- The consensus of economists, known in advance — what the market largely expects and has already priced in.
- Previous
- The result for the prior period (sometimes revised). Useful context, but not what markets mainly react to.
Surprise = Actual − Forecast
The key point: markets react mainly to how far the Actual lands from the Forecast — the surprise — not to the change from the Previous value.
Actual > Forecast
Higher than expected.
Actual ≈ Forecast
About as expected — usually the smallest reaction.
Actual < Forecast
Lower than expected.
None of these comparisons decides the EUR/USD direction on its own. Whether "higher" is good or bad news depends on the indicator (more jobs usually reads as strength, more jobless claims as weakness), on the size of the surprise and on the market context.
How an NFP surprise is usually read
An Actual above the Forecast is read as a stronger-than-expected labor market. Historically, that has more often supported the U.S. dollar — which, for EUR/USD, has usually meant a move lower. An Actual below the Forecast has more often had the opposite effect.
These are tendencies, not rules. Revisions to earlier months, average hourly earnings and the Unemployment Rate in the same report can change how the headline is read within minutes.
A simple example
Hypothetical numbers: Previous 140K, Forecast 150K, Actual 210K. The surprise is +60K (210K − 150K). What matters is the comparison with the Forecast, not with the Previous value: the result is well above expectations.
Now take the same Actual of 210K, but with the two previous months revised down by 100K in total. The headline looks strong, yet the overall picture is weaker than it first seems — so the market reaction may be smaller, or even reverse after the first minutes.
Why the same number can move markets differently
The size of the surprise matters
A result slightly off the Forecast may barely register, while a big miss can force a real rethink. Larger surprises have tended to produce larger and more consistent reactions — but not always.
Context changes over time
When inflation is the market's main worry, inflation data dominates; when growth is the worry, jobs and activity data can matter more. What the market already expects from the Federal Reserve also shapes how a surprise is read.
Details and revisions
Headlines come with details — revisions to earlier months, sub-components, other figures released at the same moment. They can confirm the headline or contradict it.
The first reaction is not the final one
The first move reflects the headline in the first seconds. As participants read the details, the market can extend that move, stall or reverse within minutes.
History is a guide, not a guarantee
Past releases show how markets have tended to react, which is useful. But every release happens in a new context, and past behavior does not guarantee the next reaction.
How to read EUR/USD
EUR/USD shows how many U.S. dollars one euro buys, so it tends to move opposite to the dollar: when the dollar strengthens, EUR/USD usually falls, and when it weakens, EUR/USD usually rises. Pairs where the dollar comes first, such as USD/JPY, tend to move with the dollar.
How NEXTMarketReaction reads this release
When a Non-Farm Payrolls (NFP) release is published, NEXTMarketReaction combines:
- the Actual, as soon as it is published;
- the Forecast (consensus) and the Previous value;
- the surprise — how far, and in which direction, the Actual landed from the Forecast;
- how EUR/USD has behaved after comparable Non-Farm Payrolls (NFP) releases in the past;
- calibrated historical probabilities, adjusted so that the percentages reflect how often similar situations actually played out;
- the horizon: 1, 3, 5, 8 or 15 minutes after the release.
The UP/DOWN percentage you see is a probability estimate based on history and a statistical model — not a certainty and not a recommendation. Even a high percentage leaves the opposite outcome possible.