France EUR

France Non Farm Payrolls QoQ Prel

Impact:
Low
Source: INSEE, France

Latest Release:

Date:
Actual:
0.2%
Forecast: 0.2%
Previous/Revision:
0.4%
Period: Q3

Next Release:

Date:
Period: Q4
What Does It Measure?
The France Non-Farm Payrolls (NFP) measures the total number of paid workers in France's economy, excluding farm workers, non-profit employees, and government workers, focusing on the employment landscape within the private sector. It is a crucial indicator reflecting labor market health, assessing the employment’s growth rate, contributing to understanding economic expansion or contraction.
Frequency
The NFP report is released on a quarterly basis, typically providing preliminary figures that may be revised in subsequent reports, with the release typically scheduled for the first business day following the end of the quarter.
Why Do Traders Care?
Traders monitor this indicator closely as it provides insights into economic growth and employment trends, affecting investment strategies across various asset classes, including currencies, stocks, and bonds. Strong employment growth often correlates with increased consumer spending and economic stability, leading to bullish market sentiments, while weaker data can signal economic weakness, causing bearish reactions.
What Is It Derived From?
The NFP figure is derived from surveys conducted among a broad array of businesses across multiple sectors in France, utilizing methodologies that may include job postings, payroll records, and supplemental statistical adjustments. The survey typically samples thousands of establishments to achieve a comprehensive representation of employment data.
Description
The preliminary report offers an initial look at employment trends and is calculated based on the most recent quarterly data, while final reports receive adjustments as more accurate and comprehensive information becomes available. Traders primarily interpret the preliminary data due to its timeliness, which can lead to immediate market reactions, though final reports tend to solidify or adjust prevailing market sentiments based on more precision.
Additional Notes
The NFP functions as a lagging economic indicator, meaning it reflects past economic conditions rather than forecasting future ones. It is often compared with other labor market metrics, such as unemployment rates and average hourly earnings, to provide a well-rounded perspective on the economy's overall health.

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
Nov 10, 2017
0.2%
 0.2%
0.4%
Aug 11, 2017
0.5%
 0.4%
0.3%
 0.1%
May 12, 2017
0.3%
 0.2%
0.4%
 0.1%
Feb 10, 2017
0.4%
 0.3%
0.3%
 0.1%
Nov 10, 2016
0.3%
 0.2%
0.2%
 0.1%
Aug 12, 2016
0.2%
 0.2%
0.2%
May 13, 2016
0.2%
 0.2%
0.2%
Feb 12, 2016
0.2%
 0.1%
0%
 0.1%
Nov 13, 2015
0.1%
 0.1%
0.2%
Aug 14, 2015
0.2%
 0.1%
0%
 0.1%