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All Employees: Education and Health Services: Private Education and Health Services in Punta Gorda, FL (MSA) (PUNT412EDUH)

Observations

Sep 2026: 11.42175
Updated: Oct 20, 2026 9:51 AM CDT
Sep 2026:  11.42175  
Aug 2026:  11.31860  
Jul 2026:  11.37363  
Jun 2026:  11.34821  
May 2026:  11.23038  

Units:

Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly

Fullscreen

Notes

Title Release Dates
All Employees: Education and Health Services in Punta Gorda, FL (MSA) 2012-01-24 2023-03-12
All Employees: Education and Health Services: Private Education and Health Services in Punta Gorda, FL (MSA) 2023-03-13 2026-10-20
 
Source    
Federal Reserve Bank of St. Louis 2012-01-24 2017-05-18
U.S. Bureau of Labor Statistics 2017-05-19 2026-10-20
 
Release    
Regional and State Employment and Unemployment (Seasonally Adjusted) 2012-01-24 2017-03-12
State Employment and Unemployment (Seasonally Adjusted) 2017-03-13 2017-05-18
State Employment and Unemployment 2017-05-19 2026-10-20
 
Units    
Thousands of Persons 2012-01-24 2026-10-20
 
Frequency    
Monthly 2012-01-24 2026-10-20
 
Seasonal Adjustment    
Seasonally Adjusted 2012-01-24 2026-10-20
 
Notes    
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at http://www.census.gov/srd/www/x12a/.

2012-01-24 2017-05-18
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.

2017-05-19 2019-03-05
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.

2019-03-06 2019-08-26
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 (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).

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 (https://fred.stlouisfed.org/series/PUNT412EDUHN) 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.

2019-08-27 2019-12-19
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' 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 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html).

Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/PUNT412EDUHN).

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.

2019-12-20 2026-10-20

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Punta Gorda, FL MSAs Florida States U.S. Regional Data

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Punta Gorda Health Education Florida St. Louis Fed Services Employment Metropolitan Statistical Area Seasonally Adjusted Bureau of Labor Statistics Monthly Public Domain: Citation Requested United States of America