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All Employees: Total Nonfarm in Panama City-Panama City Beach, FL (MSA) (PANA412NA)

Observations

Dec 2025: 90.9
Updated: Jan 28, 2026 3:55 AM CST
Dec 2025:  90.9  
Nov 2025:  90.8  
Oct 2025:  90.8  
Sep 2025:  91.0  
Aug 2025:  91.1  

Units:

Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly

Fullscreen

Notes

Title Release Dates
All Employees: Total Nonfarm in Panama City-Lynn Haven-Panama City Beach, FL (MSA) 2012-01-24 2015-03-26
All Employees: Total Nonfarm in Panama City, FL (MSA) 2015-03-27 2025-03-16
All Employees: Total Nonfarm in Panama City-Panama City Beach, FL (MSA) 2025-03-17 2026-01-27
 
Source    
Federal Reserve Bank of St. Louis 2012-01-24 2017-03-23
U.S. Bureau of Labor Statistics 2017-03-24 2026-01-27
 
Release    
Regional and State Employment and Unemployment (Seasonally Adjusted) 2012-01-24 2017-03-12
State Employment and Unemployment (Seasonally Adjusted) 2017-03-13 2017-03-23
State Employment and Unemployment 2017-03-24 2026-01-27
 
Units    
Thousands of Persons 2012-01-24 2026-01-27
 
Frequency    
Monthly 2012-01-24 2026-01-27
 
Seasonal Adjustment    
Seasonally Adjusted 2012-01-24 2026-01-27
 
Notes    
The data services of the Federal Reserve Bank of St. Louis include series that are seasonally adjusted. To make these adjustments, we use the X-12 Procedure of SAS to remove the seasonal component of the series so that non-seasonal trends can be analyzed. This procedure is based on the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on this program can be found at http://www.census.gov/srd/www/x12a/.
The seasonal moving average function used is that of the Census Bureau’s X-11-ARIMA program. This includes a 3x3 moving average for the initial seasonal factors and a 3x5 moving average to calculate the final seasonal factors. The D11 function is also used to output the entire seasonally adjusted series that is displayed. For specific information on the SAS X-12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm.

2012-01-24 2017-03-23
The data services of the Federal Reserve Bank of St. Louis include series that are seasonally adjusted. To make these adjustments, we use the X-12 Procedure of SAS to remove the seasonal component of the series so that non-seasonal trends can be analyzed. This procedure is based on the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on this program can be found at https://www.census.gov/srd/www/x13as/.
The seasonal moving average function used is that of the Census Bureau’s X-11-ARIMA program. This includes a 3x3 moving average for the initial seasonal factors and a 3x5 moving average to calculate the final seasonal factors. The D11 function is also used to output the entire seasonally adjusted series that is displayed. For specific information on the SAS X-12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm.

2017-03-24 2019-04-18
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 at https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html. More information on X-13ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/.

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.

2019-04-19 2026-01-27

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Panama City Payrolls Nonfarm Florida Employment Metropolitan Statistical Area Seasonally Adjusted Bureau of Labor Statistics Monthly Public Domain: Citation Requested United States of America