Switzerland CHF

Switzerland Non Farm Payrolls

Impact:
Low

Latest Release:

Date:
Surprise:
-0.008M
Actual:
5.532M
Forecast: 5.54M
Previous/Revision:
5.515M
Period: Q3

Next Release:

Date:
Period: Q4
What Does It Measure?
The Switzerland Non-Farm Payrolls (NFP) measures the total number of paid workers in Switzerland, excluding farm workers and workers in a handful of other job categories. This indicator primarily focuses on employment trends and serves as a key assessment of the labor market's health in Switzerland.
Frequency
The Switzerland Non-Farm Payrolls report is typically released on a monthly basis, with data reflecting the employment situation for the previous month.
Why Do Traders Care?
Traders pay close attention to the NFP report as it provides vital information about employment trends directly affecting consumer spending and economic growth, which can have significant implications for Swiss franc (CHF) valuation, equities, and bond markets. A positive surprise in the data generally leads to an appreciation of the CHF and bullish sentiment in stock markets, while disappointing figures can trigger bearish reactions.
What Is It Derived From?
The NFP is derived from a comprehensive survey conducted across various sectors in the Swiss economy, focusing on businesses of different sizes and industries. This data collection employs standardized methodologies, including sampling and weighting techniques to reflect accurate employment statistics.
Description
Preliminary reports of the NFP are based on early estimates that are subject to revision, with final data released later for a more precise reflection of employment conditions. This indicator typically reports on a month-over-month (MoM) basis, thereby allowing traders to identify short-term employment shifts and trends.
Additional Notes
The NFP serves as a coincident economic measure, reflecting current employment levels that relate closely to overall economic performance in Switzerland. It is often compared with other labor indicators, such as unemployment rates or monthly job creation numbers from different countries, to assess relative economic strength across regions.
Bullish or Bearish for Currency and Stocks
If the actual NFP value exceeds expectations, it will be seen as higher than expected: Bullish for CHF, Bullish for Stocks. Conversely, if the actual figure falls below predictions, it would be classified as lower than expected: Bearish for CHF, Bearish for Stocks.

Legend

High Potential Impact
This event has a strong potential to move markets significantly. If the 'Actual' value differs enough from the forecast or if the 'Previous' value is significantly revised, it signals new information that markets may rapidly adjust to.

Medium Potential Impact
This event may cause moderate market movement, especially if the 'Actual' deviates from the forecast or there's a notable revision to the 'Previous' value.

Low Potential Impact
This event is unlikely to affect market pricing unless there's an unexpected surprise or a major revision to prior data.

Surprise - Currency May Strengthen
Actual deviated from Forecast on a medium or high impact event and historically could strengthen the currency.

Surprise - Currency May Weaken
Actual deviated from Forcast on a medium or high impact event and historically could weaken the currency.

Big Surprise - Currency More Likely To Strengthen
'Actual' deviated from 'Forecast' more than 75% of historical deviations on a medium or high impact event and may likely strengthen the currency.

Big Surprise - Currency More Likely To Weaken
'Actual' deviated from 'Forecast' more than 75% of historical deviations on a medium or high impact event and may likely weaken the currency

Green Number Better than forecast for the currency (or previous revise better)
Red Number Worse than forecast for the currency (or previous revise better)
Hawkish Supports higher interest rates to fight inflation, strengthening the currency but weighing on stocks.
Dovish Favors lower rates to boost growth, weakening the currency but lifting stocks.
Date Time Actual Forecast Previous Surprise
5.532M
5.54M
5.515M
-0.008M
5.532M
5.5M
5.511M
0.032M
5.512M
5.5M
5.534M
0.012M
5.534M
5.3M
5.528M
0.234M
5.528M
5.5M
5.499M
0.028M
5.499M
5.1M
5.481M
0.399M
5.484M
5.4M
5.488M
0.084M
5.488M
5.5M
5.465M
-0.012M
5.465M
5.25M
5.432M
0.215M
5.432M
5.428M
5.389M
0.004M
5.389M
5.3M
5.398M
0.089M
5.398M
5.3M
5.362M
0.098M
5.362M
5.4M
5.316M
-0.038M
5.316M
5.225M
5.273M
0.091M
5.227M
5.25M
5.239M
-0.023M
5.239M
5.25M
5.213M
-0.011M
5.213M
5.15M
5.126M
0.063M
5.126M
5.115M
5.101M
0.011M
5.101M
5.19M
5.141M
-0.089M
5.135M
5M
5.138M
0.135M
5.138M
4.89M
5.095M
0.248M
5.095M
4.765M
5.132M
0.33M
5.102M
4.951M
5.13M
0.151M
5.13M
5.115M
5.137M
0.015M
5.137M
5.128M
5.109M
0.009M
5.109M
5.095M
5.071M
0.014M
5.071M
5.025M
5.068M
0.046M
5.068M
4.991M
5.07M
0.077M
5.07M
5.051M
5.048M
0.019M
5.048M
4.985M
4.961M
0.063M
4.961M
4.999M
4.962M
-0.038M
4.962M
4.963M
4.956M
-0.001M
4.956M
4.929M
4.915M
0.027M
4.91M
4.91M
4.88M
4.88M
4.92M
4.92M
-0.04M
4.912M
4.925M
4.918M
-0.013M
4.918M
4.9M
4.903M
0.018M
4.903M
4.9M
4.88M
0.003M
4.88M
4.9M
4.89M
-0.02M
4.9M
4.24M
4.24M
0.66M
4.89M
4.9M
4.244M
4.24M
4.225M
0.004M