|High||312 K||170 K||
Nonfarm Payrolls present the number of new jobs created during the given month, in all non-agricultural sectors of the US economy. Calculation does not include military and intelligence services, self-employed citizens and those employed on private households.
The list of reported sectors includes professional and business services, healthcare, financial sector, mining, construction, trade, transportation and warehousing, recreation and hospitality.
This reports is one of the most important US economic indicators, which is used in the evaluation of the country's economic health. It is often considered an indicator tending to move the market. Non-farm payrolls cover about 80% of employees producing the entire GDP of the United States.
Indicator growth suggests that more consumers will earn money, which means that both consumption and consumer spending will grow. This stimulates economic growth.
The release of this report usually increases volatility in foreign exchange markets. Indicator growth is seen as positive for dollar quotes.
The chart of the entire available history of the "United States Nonfarm Payrolls" macroeconomic indicator. The dashed line shows the forecast values of the economic indicator for the specified dates.
A significant deviation of a real value from a forecast one may cause a short-term strengthening or weakening of a national currency in the Forex market. The threshold values of the indicators signaling the approach of the critical state of the national (local) economy occupy a special place.
Create your own calendar of economic events. To do this, simply specify its size and display period. You can freely use this widget on your websites. In return, we ask you to keep the provided code unchanged.
The Calendar data are provided as is. The economic news release frequency and schedule, as well as the economic parameters' values may change without our knowledge. You can use the provided information, but you accept all the risks associated with making trade decisions based on the Calendar data.