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NOTES

Source: U.S. Bureau of Labor Statistics  

Release: State Employment and Unemployment  

Units:  Thousands of Persons, Seasonally Adjusted

Frequency:  Monthly

Suggested Citation:

U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Phoenix-Mesa-Scottsdale, AZ (MSA) [PHOE004NA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PHOE004NA, October 14, 2019.

Source: Federal Reserve Bank of St. Louis  

Source: U.S. Bureau of Labor Statistics  

Release: State and Metro Area Employment, Hours, and Earnings  

Units:  Thousands of Persons, Seasonally Adjusted

Frequency:  Monthly

Notes:

The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here. More information on X-13ARIMA-SEATS can be found here.

Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. In some cases, the NSA data will be updated but the SA data will not be updated. The reason is usually that the data series has not accumulated enough new seasonal factors to trigger an adjustment.The NSA series can be located here The FRED team is currently working on a new procedure to replace SA data that has not yet be updated with NSA data that has been updated.

Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

Suggested Citation:

Federal Reserve Bank of St. Louis and U.S. Bureau of Labor Statistics, All Employees: Construction in Phoenix-Mesa-Scottsdale, AZ (MSA) [SMU04380602000000001SA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SMU04380602000000001SA, October 14, 2019.

Source: Federal Reserve Bank of St. Louis  

Source: U.S. Bureau of Labor Statistics  

Release: State and Metro Area Employment, Hours, and Earnings  

Units:  Thousands of Persons, Seasonally Adjusted

Frequency:  Monthly

Suggested Citation:

Federal Reserve Bank of St. Louis and U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Los Angeles-Long Beach-Anaheim, CA (MSA) [SMS06310800000000001], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SMS06310800000000001, October 14, 2019.

Source: Federal Reserve Bank of St. Louis  

Source: U.S. Bureau of Labor Statistics  

Release: State and Metro Area Employment, Hours, and Earnings  

Units:  Thousands of Persons, Seasonally Adjusted

Frequency:  Monthly

Notes:

The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here. More information on X-13ARIMA-SEATS can be found here.

Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. In some cases, the NSA data will be updated but the SA data will not be updated. The reason is usually that the data series has not accumulated enough new seasonal factors to trigger an adjustment.The NSA series can be located here The FRED team is currently working on a new procedure to replace SA data that has not yet be updated with NSA data that has been updated.

Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

Suggested Citation:

Federal Reserve Bank of St. Louis and U.S. Bureau of Labor Statistics, All Employees: Mining, Logging, and Construction in Los Angeles-Long Beach-Glendale, CA (MD) [SMU06310841500000001SA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SMU06310841500000001SA, October 14, 2019.

Source: U.S. Bureau of Labor Statistics  

Release: State Employment and Unemployment  

Units:  Thousands of Persons, Seasonally Adjusted

Frequency:  Monthly

Suggested Citation:

U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Tampa-St. Petersburg-Clearwater, FL (MSA) [TAMP312NA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/TAMP312NA, October 14, 2019.

Source: Federal Reserve Bank of St. Louis  

Source: U.S. Bureau of Labor Statistics  

Release: State and Metro Area Employment, Hours, and Earnings  

Units:  Thousands of Persons, Seasonally Adjusted

Frequency:  Monthly

Notes:

The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here. More information on X-13ARIMA-SEATS can be found here.

Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. In some cases, the NSA data will be updated but the SA data will not be updated. The reason is usually that the data series has not accumulated enough new seasonal factors to trigger an adjustment.The NSA series can be located here The FRED team is currently working on a new procedure to replace SA data that has not yet be updated with NSA data that has been updated.

Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

Suggested Citation:

Federal Reserve Bank of St. Louis and U.S. Bureau of Labor Statistics, All Employees: Construction in Tampa-St. Petersburg-Clearwater, FL (MSA) [SMU12453002000000001SA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/SMU12453002000000001SA, October 14, 2019.

Source: U.S. Bureau of Labor Statistics  

Release: State Employment and Unemployment  

Units:  Thousands of Persons, Seasonally Adjusted

Frequency:  Monthly

Suggested Citation:

U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Dallas-Fort Worth-Arlington, TX (MSA) [DALL148NA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/DALL148NA, October 14, 2019.

Source: U.S. Bureau of Labor Statistics  

Release: State Employment and Unemployment  

Units:  Thousands of Persons, Seasonally Adjusted

Frequency:  Monthly

Notes:

The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found here. More information on X-13ARIMA-SEATS can be found here.

Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. In some cases, the NSA data will be updated but the SA data will not be updated. The reason is usually that the data series has not accumulated enough new seasonal factors to trigger an adjustment.The NSA series can be located here The FRED team is currently working on a new procedure to replace SA data that has not yet be updated with NSA data that has been updated.

Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

Suggested Citation:

U.S. Bureau of Labor Statistics, All Employees: Mining, Logging, and Construction in Dallas-Fort Worth-Arlington, TX (MSA) [DALL148NRMN], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/DALL148NRMN, October 14, 2019.

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All Employees: Total Nonfarm in Phoenix-Mesa-Scottsdale, AZ (MSA)

All Employees: Construction in Phoenix-Mesa-Scottsdale, AZ (MSA)

All Employees: Total Nonfarm in Los Angeles-Long Beach-Anaheim, CA (MSA)

All Employees: Mining, Logging, and Construction in Los Angeles-Long Beach-Glendale, CA (MD)

All Employees: Total Nonfarm in Tampa-St. Petersburg-Clearwater, FL (MSA)

All Employees: Construction in Tampa-St. Petersburg-Clearwater, FL (MSA)

All Employees: Total Nonfarm in Dallas-Fort Worth-Arlington, TX (MSA)

All Employees: Mining, Logging, and Construction in Dallas-Fort Worth-Arlington, TX (MSA)

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