Tag Archives: total nonfarm payrolls

Monthly Changes In Total Nonfarm Payrolls – August 4, 2017 Update

For reference purposes, below are five charts that display growth in payroll employment, as depicted by the Total Nonfarm Payrolls measures (FRED data series PAYEMS).

PAYEMS, which is seasonally adjusted, is defined in Financial Reserve Economic Data [FRED] as:

All Employees: Total Nonfarm, commonly known as Total Nonfarm Payroll, is a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product (GDP).

This measure provides useful insights into the current economic situation because it can represent the number of jobs added or lost in an economy. Increases in employment might indicate that businesses are hiring which might also suggest that businesses are growing. Additionally, those who are newly employed have increased their personal incomes, which means (all else constant) their disposable incomes have also increased, thus fostering further economic expansion.

Generally, the U.S. labor force and levels of employment and unemployment are subject to fluctuations due to seasonal changes in weather, major holidays, and the opening and closing of schools. The Bureau of Labor Statistics (BLS) adjusts the data to offset the seasonal effects to show non-seasonal changes: for example, women’s participation in the labor force; or a general decline in the number of employees, a possible indication of a downturn in the economy. To closely examine seasonal and non-seasonal changes, the BLS releases two monthly statistical measures: the seasonally adjusted All Employees: Total Nonfarm (PAYEMS) and All Employees: Total Nonfarm (PAYNSA), which is not seasonally adjusted.

The series comes from the ‘Current Employment Statistics (Establishment Survey).’

The source code is: CES0000000001

The first chart shows the monthly change in Total Nonfarm Payrolls from the year 2000 through the current report of July 2017:

(click on charts to enlarge images)

Total Nonfarm Payroll Monthly Change From Year 2000

Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: All Employees: Total nonfarm [PAYEMS] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed August 4, 2017;

https://research.stlouisfed.org/fred2/series/PAYEMS

The second chart shows a longer-term chart of the same month-over-month change in Total Nonfarm Payrolls (reports of January 1940 through the present report of July 2017):

Total Nonfarm Payrolls Monthly Change Since The Year 1939

The third chart shows the aggregate number of Total Nonfarm Payrolls, from January 1939 – July 2017 (July 2017 value of 146.615 million):

Total Nonfarm Payrolls since 1939

The fourth chart shows this same aggregate number of Total Nonfarm Payrolls measure as seen above but presented on a LOG scale:

PAYEMS LOG scale

Lastly, the fifth chart shows the Total Nonfarm Payrolls number on a “Percent Change from Year Ago” basis from January 1940 – July 2017:

PAYEMS Percent Change From Year Ago

_________

I post various indicators and indices because I believe they should be carefully monitored.  However, as those familiar with this site are aware, I do not necessarily agree with what they depict or imply.

_____

The Special Note summarizes my overall thoughts about our economic situation

SPX at 2474.09 as this post is written

Monthly Changes In Total Nonfarm Payrolls – May 8, 2017 Update

For reference purposes, below are five charts that display growth in payroll employment, as depicted by the Total Nonfarm Payrolls measures (FRED data series PAYEMS).

PAYEMS, which is seasonally adjusted, is defined in Financial Reserve Economic Data [FRED] as:

All Employees: Total Nonfarm, commonly known as Total Nonfarm Payroll, is a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product (GDP).

This measure provides useful insights into the current economic situation because it can represent the number of jobs added or lost in an economy. Increases in employment might indicate that businesses are hiring which might also suggest that businesses are growing. Additionally, those who are newly employed have increased their personal incomes, which means (all else constant) their disposable incomes have also increased, thus fostering further economic expansion.

Generally, the U.S. labor force and levels of employment and unemployment are subject to fluctuations due to seasonal changes in weather, major holidays, and the opening and closing of schools. The Bureau of Labor Statistics (BLS) adjusts the data to offset the seasonal effects to show non-seasonal changes: for example, women’s participation in the labor force; or a general decline in the number of employees, a possible indication of a downturn in the economy. To closely examine seasonal and non-seasonal changes, the BLS releases two monthly statistical measures: the seasonally adjusted All Employees: Total Nonfarm (PAYEMS) and All Employees: Total Nonfarm (PAYNSA), which is not seasonally adjusted.

The series comes from the ‘Current Employment Statistics (Establishment Survey).’

The source code is: CES0000000001

The first chart shows the monthly change in Total Nonfarm Payrolls from the year 2000 through the current report of April 2017:

(click on charts to enlarge images)

PAYEMS Change From Last Month

Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: All Employees: Total nonfarm [PAYEMS] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed May 8, 2017;

https://research.stlouisfed.org/fred2/series/PAYEMS

The second chart shows a longer-term chart of the same month-over-month change in Total Nonfarm Payrolls (reports of January 1940 through the present report of April 2017):

PAYEMS Change From Previous Month

The third chart shows the aggregate number of Total Nonfarm Payrolls, from January 1939 – April 2017 (April 2017 value of 146.063 million):

PAYEMS since 1939

The fourth chart shows this same aggregate number of Total Nonfarm Payrolls measure as seen above but presented on a LOG scale:

PAYEMS on a LOG scale

Lastly, the fifth chart shows the Total Nonfarm Payrolls number on a “Percent Change from Year Ago” basis from January 1940 – April 2017:

PAYEMS Percent Change From Year Ago

_________

I post various indicators and indices because I believe they should be carefully monitored.  However, as those familiar with this blog are aware, I do not necessarily agree with what they depict or imply.

_____

The Special Note summarizes my overall thoughts about our economic situation

SPX at 2399.29 as this post is written

Monthly Changes In Total Nonfarm Payrolls – February 6, 2017 Update

For reference purposes, below are five charts that display growth in payroll employment, as depicted by the Total Nonfarm Payrolls measures (FRED data series PAYEMS).

PAYEMS, which is seasonally adjusted, is defined in Financial Reserve Economic Data [FRED] as:

All Employees: Total Nonfarm, commonly known as Total Nonfarm Payroll, is a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product (GDP).

This measure provides useful insights into the current economic situation because it can represent the number of jobs added or lost in an economy. Increases in employment might indicate that businesses are hiring which might also suggest that businesses are growing. Additionally, those who are newly employed have increased their personal incomes, which means (all else constant) their disposable incomes have also increased, thus fostering further economic expansion.

Generally, the U.S. labor force and levels of employment and unemployment are subject to fluctuations due to seasonal changes in weather, major holidays, and the opening and closing of schools. The Bureau of Labor Statistics (BLS) adjusts the data to offset the seasonal effects to show non-seasonal changes: for example, women’s participation in the labor force; or a general decline in the number of employees, a possible indication of a downturn in the economy. To closely examine seasonal and non-seasonal changes, the BLS releases two monthly statistical measures: the seasonally adjusted All Employees: Total Nonfarm (PAYEMS) and All Employees: Total Nonfarm (PAYNSA), which is not seasonally adjusted.

The series comes from the ‘Current Employment Statistics (Establishment Survey).’

The source code is: CES0000000001

The first chart shows the monthly change in total nonfarm payrolls from the year 2000 through the current report of January 2017:

(click on charts to enlarge images)

PAYEMS monthly change

Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: All Employees: Total nonfarm [PAYEMS] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed February 6, 2017;

https://research.stlouisfed.org/fred2/series/PAYEMS

The second chart shows a long-term chart of the same month-over-month change in total nonfarm payrolls (reports of January 1940 through the present report of January 2017):

PAYEMS monthly change

The third chart shows the aggregate number of total nonfarm payrolls, from January 1939 – January 2017 (January 2017 value of 145.554 million):

Total Nonfarm Payrolls

The fourth chart shows this same aggregate number of total nonfarm payrolls measure as seen above but presented on a LOG scale:

Total Nonfarm Payroll LOG scale

Lastly, the fifth chart shows the total nonfarm payrolls number on a “percent change from year ago” basis from January 1940 – January 2017:

PAYEMS percent change from year ago

_________

I post various indicators and indices because I believe they should be carefully monitored.  However, as those familiar with this blog are aware, I do not necessarily agree with what they depict or imply.

_____

The Special Note summarizes my overall thoughts about our economic situation

SPX at 2295.91 as this post is written

Monthly Changes In Total Nonfarm Payrolls – November 7, 2016 Update

For reference purposes, below are five charts that display growth in payroll employment, as depicted by the Total Nonfarm Payrolls measures (FRED data series PAYEMS).

PAYEMS, which is seasonally adjusted, is defined in Financial Reserve Economic Data [FRED] as:

All Employees: Total Nonfarm, commonly known as Total Nonfarm Payroll, is a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product (GDP).

This measure provides useful insights into the current economic situation because it can represent the number of jobs added or lost in an economy. Increases in employment might indicate that businesses are hiring which might also suggest that businesses are growing. Additionally, those who are newly employed have increased their personal incomes, which means (all else constant) their disposable incomes have also increased, thus fostering further economic expansion.

Generally, the U.S. labor force and levels of employment and unemployment are subject to fluctuations due to seasonal changes in weather, major holidays, and the opening and closing of schools. The Bureau of Labor Statistics (BLS) adjusts the data to offset the seasonal effects to show non-seasonal changes: for example, women’s participation in the labor force; or a general decline in the number of employees, a possible indication of a downturn in the economy. To closely examine seasonal and non-seasonal changes, the BLS releases two monthly statistical measures: the seasonally adjusted All Employees: Total Nonfarm (PAYEMS) and All Employees: Total Nonfarm (PAYNSA), which is not seasonally adjusted.

The series comes from the ‘Current Employment Statistics (Establishment Survey).’

The source code is: CES0000000001

The first chart shows the monthly change in total nonfarm payrolls from the year 2000 through the current report of October 2016:

(click on charts to enlarge images)

PAYEMS monthly change since 2000

Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: All Employees: Total nonfarm [PAYEMS] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed November 7, 2016;

https://research.stlouisfed.org/fred2/series/PAYEMS

The second chart shows a long-term chart of the same month-over-month change in total nonfarm payrolls (reports of January 1940 through the present report of October 2016):

PAYEMS monthly change since 1939

The third chart shows the aggregate number of total nonfarm payrolls, from January 1939 – October 2016 (October 2016 value of 144.952 million):

PAYEMS since 1939

The fourth chart shows this same aggregate number of total nonfarm payrolls measure as seen above but presented on a LOG scale:

PAYEMS since 1939 LOG

Lastly, the fifth chart shows the total nonfarm payrolls number on a “percent change from year ago” basis from January 1940 – October 2016:

PAYEMS percent change from year ago

_________

I post various indicators and indices because I believe they should be carefully monitored.  However, as those familiar with this blog are aware, I do not necessarily agree with what they depict or imply.

_____

The Special Note summarizes my overall thoughts about our economic situation

SPX at 2120.02 as this post is written

Monthly Changes In Total Nonfarm Payrolls – August 8, 2016 Update

For reference purposes, below are five charts that display growth in payroll employment.

Total nonfarm payrolls (data series PAYEMS, which is seasonally adjusted) is defined in Financial Reserve Economic Data [FRED] as:

All Employees: Total Nonfarm, commonly known as Total Nonfarm Payroll, is a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product (GDP).

This measure provides useful insights into the current economic situation because it can represent the number of jobs added or lost in an economy. Increases in employment might indicate that businesses are hiring which might also suggest that businesses are growing. Additionally, those who are newly employed have increased their personal incomes, which means (all else constant) their disposable incomes have also increased, thus fostering further economic expansion.

Generally, the U.S. labor force and levels of employment and unemployment are subject to fluctuations due to seasonal changes in weather, major holidays, and the opening and closing of schools. The Bureau of Labor Statistics (BLS) adjusts the data to offset the seasonal effects to show non-seasonal changes: for example, women’s participation in the labor force; or a general decline in the number of employees, a possible indication of a downturn in the economy. To closely examine seasonal and non-seasonal changes, the BLS releases two monthly statistical measures: the seasonally adjusted All Employees: Total Nonfarm (PAYEMS) and All Employees: Total Nonfarm (PAYNSA), which is not seasonally adjusted.

The series comes from the ‘Current Employment Statistics (Establishment Survey).’

The source code is: CES0000000001

The first chart shows the monthly change in total nonfarm payrolls since the year 2000:

(click on charts to enlarge images)

PAYEMS Monthly Change since 2000

Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: All Employees: Total nonfarm [PAYEMS] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed August 7, 2016;

https://research.stlouisfed.org/fred2/series/PAYEMS

The second chart shows a long-term chart of the same month-over-month change in total nonfarm payrolls (reports of January 1940 through the present report of July 2016):

PAYEMS Monthly Change from 1939

The third chart shows the aggregate number of total nonfarm payrolls, from January 1939 – July 2016 (July 2016 value of 144.448 million):

PAYEMS since 1939

The fourth chart shows this same aggregate number of total nonfarm payrolls measure as seen above but presented on a LOG scale:

PAYEMS Since 1939 on a LOG basis

Lastly, the fifth chart shows the total nonfarm payrolls number on a “percent change from year ago” basis from January 1940 – July 2016:

PAYEMS percent change from year ago

_________

I post various indicators and indices because I believe they should be carefully monitored.  However, as those familiar with this blog are aware, I do not necessarily agree with what they depict or imply.

_____

The Special Note summarizes my overall thoughts about our economic situation

SPX at 2182.87 as this post is written

Monthly Changes In Total Nonfarm Payrolls – May 9, 2016 Update

For reference purposes, below are five charts that display growth in payroll employment.

The first chart shows the monthly change in total nonfarm payrolls since the year 2000:

(click on charts to enlarge images)

change in total nonfarm payrolls since the year 2000

Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: All Employees: Total nonfarm [PAYEMS] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed May 9, 2016;

https://research.stlouisfed.org/fred2/series/PAYEMS

The second chart shows a long-term chart of the same month-over-month change in total nonfarm payrolls (reports of February 1939 to the present report of April 2016):

monthly change in total nonfarm payrolls since 1939

The third chart shows the aggregate number of total nonfarm payrolls, from January 1939 – April 2016 (April 2016 value of 143.915 million):

total nonfarm payrolls since 1939

The fourth chart shows this same aggregate number of total nonfarm payrolls measure as seen above but presented on a LOG scale:

total nonfarm payrolls from 1939-01 through April 2016

Lastly, the fifth chart shows the total nonfarm payrolls number on a “percent change from year ago” basis from January 1940 – April 2016:

total nonfarm payrolls percent change from year ago

_________

I post various indicators and indices because I believe they should be carefully monitored.  However, as those familiar with this blog are aware, I do not necessarily agree with what they depict or imply.

_____

The Special Note summarizes my overall thoughts about our economic situation

SPX at 2062.12 as this post is written

Monthly Changes In Total Nonfarm Payrolls

For reference purposes, below are three charts that display growth in payroll employment.

The first chart is from the Bureau of Labor Statistics (BLS) February 8, 2016 The Economics Daily (TED) post titled “Payroll employment up 151,000 in January 2016.”  It shows, as stated, “Over-the-month change in (total) payroll employment” from January 2006-January 2016:

change in payroll employment

The second chart shows the month-over-month change in total nonfarm payrolls in the 1990’s: (reports of January 1990-December 1999)

monthly change in nonfarm payrolls

Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: All Employees: Total nonfarm [PAYEMS] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed February 8, 2016;

https://research.stlouisfed.org/fred2/series/PAYEMS

The third chart shows a long-term chart of the same month-over-month change in total nonfarm payrolls (reports of January 1939 to the present report of January 2016):

monthly change in nonfarm payroll

Lastly, the chart below shows the aggregate number of total nonfarm payrolls, from January 1939 – January 2016 (January 2016 value of 143.288 million):

total nonfarm payrolls

_________

I post various indicators and indices because I believe they should be carefully monitored.  However, as those familiar with this blog are aware, I do not necessarily agree with what they depict or imply.

_____

The Special Note summarizes my overall thoughts about our economic situation

SPX at 1853.44 as this post is written