| Title | Release Dates | |
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| New Private Housing Units Authorized by Building Permits for Tampa-St. Petersburg-Clearwater, FL (MSA) | 2012-02-27 | 2019-05-23 |
| Source | ||
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| Federal Reserve Bank of St. Louis | 2012-02-27 | 2018-04-23 |
| U.S. Census Bureau | 2018-04-24 | 2019-05-23 |
| Release | ||
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| Housing Units Authorized By Building Permits (Seasonally Adjusted) | 2012-02-27 | 2018-04-23 |
| Housing Units Authorized By Building Permits | 2018-04-24 | 2019-05-23 |
| Units | ||
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| Units | 2012-02-27 | 2019-05-23 |
| Frequency | ||
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| Monthly | 2012-02-27 | 2019-05-23 |
| Seasonal Adjustment | ||
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| Seasonally Adjusted | 2012-02-27 | 2019-05-23 |
| Notes | ||
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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 |
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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 | 2019-03-05 |
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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 | 2019-05-23 |
