23/09/2022
Employment Data
Economic growth is a guide for traders and investors around the world. Novice and professional traders focus on this data as it's very important for all market participants. It affects market movement and is used to measure economic growth and health as it will impact Retail Sales, Personal Consumption Expenditure, as well as the inflation rate and GDP of a country.
There are multiple employment data published every month, and they measure different things. They are sometimes confusing for traders and investors who don't know what the data is for and what things are anticipated by the market. In this article, we will look into some data that every market participant should focus on, and provide a brief explanation of the importance of such data.
NON-FARM PAYROLLS (the U. S. data as an example)
The first and foremost is NFP, especially NFP from the U.S. Nonfarm Payrolls shows the number of workers in the U.S., excluding farm workers and workers in other job classifications. This is measured by the Bureau of Labor Statistics (BLS), which surveys private and government entities throughout the U.S. about their payrolls. The BLS reports the non-farm payrolls to the public on a monthly basis through the closely followed "Employment Situation" report.
In addition to farm workers, the non-farm payrolls data also excludes some government workers, private households, proprietors, and non-profit employees. The report is released by the BLS on the first Friday of the month.
Understanding Non-farm Payrolls
The name non-farm payrolls indicate that farm workers are excluded, but there are several other categories that are not included in the data count. Non-farm employees account for approximately 80% of the U.S. business sectors contributing to gross domestic product (GDP). While this represents a majority of the U.S. labor force, there are some notable exclusions in addition to farm workers:
Government workers: Government is a key part of the monthly employment report, but some government workers are excluded. The government category counted in the data includes civil servants, but excludes military personnel and official employees appointed by the government. Employees of the Central Intelligence Agency (CIA), National Security Agency (NSA), National Imagery and Mapping Agency (NIMA), and the Defense Intelligence Agency (DIA) are also excluded from this monthly data.
Private households: Private household employees and domestic household workers are excluded from the data.
Proprietors: This includes sole business owners and self-employed workers who operate without registered business incorporation (e.g., do not have a limited liability corporation or partnership status).
Non-profit employees: the non-profit sector is not included in the non-farm payroll statistics even though this sector is quite large.
The monthly Employment Situation report is created from two surveys, the Household Survey and the Establishment Survey. The two separate reports are compiled together to form one comprehensive monthly report.
The Household Survey provides the unemployment rate report and details on employment demographics.
The Establishment Survey segment of the BLS's "Employment Situation" report is also known as the non-farm payrolls report (NFP), providing the headline number of new non-farm payroll jobs added within the national economy. Key components of the Establishment Survey include:
The number of total non-farm payrolls added by entities for the reporting month
Non-farm payroll additions by industry category: durable goods, non-durable goods, services, and government
Details of work hours
Details of average hourly earnings
ADP Non-Farm Payrolls is data that has the same basics but is compiled by the ADP (Automatic Data Processing), a global business outsourcing service provider. This data is released on Wednesdays, two days before the Bureau of Labor Statistics releases the NFP data.
U.S. Unemployment Rate
This data is the result of the Household Survey that is released at the same time with and as a part of the Employment Situation. The components of the data include:
Unemployment rate
Unemployment rate by gender
Unemployment rate by race
Unemployment rate by education
Unemployment rate by age
Reasons for unemployment
Employment data by types of alternative employment
Participation rate
The most monitored data are the unemployment rate and NFP from the U.S. But data from other countries and regions such as the U.K, European Union, Australia, Canada, and Japan also need to be considered as they affect certain markets. In addition to the key data discussed previously, there is the Unemployment Claim, submitted by unemployed individuals to request some cash benefit to the government of several countries that provide it, such as the U.S, the U.K, Australia, and Canada. Job Openings and Labor Turnover Survey from the Bureau of Labor Statistics can create market volatility when market participants and authorities such as FOMC or the Fed focus on employment data.
Reading Employment Situation Data
An increase in NFP and a decrease in the unemployment rate indicate that the economy is growing. Conversely, the decline in the employment sector is indicated by a decrease in NFP and an increase in the unemployment rate.
Many traders only watch for NFP but don't understand that both data should be read as opposites, especially beginners. The rise in the employment sector is good for the country's currency. For example, if NFP increases and the Unemployment Rate decreases, EUR/USD will decline as the USD grows stronger as the counter currency.
On the other hand, USD/JPY and USD/CAD might increase as USD is the base currency in these pairs. When the data is released, some traders do not know how to read it. Many novice traders misinterpret the USD strength when monitoring the price movement of a pair.
We hope this article can explain what is inside the important data anticipated by traders and investors every month, how to read them, dan most importantly their definitions, compositions, and functions. We will look into the Gross Domestic Products in the next article in the Economic Cycle series.