New Private Housing Structures Authorized by Building Permits for North Port-Sarasota-Bradenton, FL (MSA)

Observations

Feb 2025: 1,757.49024

Updated: Mar 25, 2025 8:41 AM CDT

Feb 2025:	1,757.49024
Jan 2025:	1,579.75281
Dec 2024:	1,164.13945
Nov 2024:	1,118.64687
Oct 2024:	1,348.27429

Units:

Units,

Seasonally Adjusted

Frequency:

Monthly

Notes

Title	Release Dates

New Private Housing Units Authorized by Building Permits for Bradenton-Sarasota-Venice, FL (MSA)	2012-02-27	2020-02-25
New Private Housing Structures Authorized by Building Permits for North Port-Sarasota-Bradenton, FL (MSA)	2020-02-26	2025-03-25

Source

Federal Reserve Bank of St. Louis	2012-02-27	2018-04-23
U.S. Census Bureau	2018-04-24	2025-03-25

Release

Housing Units Authorized By Building Permits (Seasonally Adjusted)	2012-02-27	2018-04-23
Housing Units Authorized By Building Permits	2018-04-24	2025-03-25

Units

Units	2012-02-27	2025-03-25

Frequency

Monthly	2012-02-27	2025-03-25

Seasonal Adjustment

Seasonally Adjusted	2012-02-27	2025-03-25

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.	2012-02-27	2018-04-23
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. 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.	2018-04-24	2020-02-25
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more. 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/SARA212BPPRIV). 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.	2020-02-26	2025-03-25