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New Private Housing Units Authorized by Building Permits: 1-Unit Structures for Orlando-Kissimmee-Sanford, FL (MSA) (ORLA712BP1FHSA)

Observation:

Aug 2017: 1,264.2  
Updated: Oct 12, 2017

Units:

Units,
Seasonally Adjusted

Frequency:

Monthly
1Y | 5Y | 10Y | Max
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  EDIT BAR 1
(a) New Private Housing Units Authorized by Building Permits: 1-Unit Structures for Orlando-Kissimmee-Sanford, FL (MSA), Units, Seasonally Adjusted (ORLA712BP1FHSA)
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 .

New Private Housing Units Authorized by Building Permits: 1-Unit Structures for Orlando-Kissimmee-Sanford, FL (MSA)

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Write a custom formula to transform one or more series or combine two or more series.

You can begin by adding a series to combine with your existing series.

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Finally, you can change the units of your new series.

Select a date that will equal 100 for your custom index:

  EDIT BAR 2
(a) New Private Housing Units Authorized by Building Permits: 1-Unit Structures for Orlando-Kissimmee-Sanford, FL (MSA), Units, Seasonally Adjusted (ORLA712BP1FHSA)
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 .

New Private Housing Units Authorized by Building Permits: 1-Unit Structures for Orlando-Kissimmee-Sanford, FL (MSA)

Select a date that will equal 100 for your custom index:
to

Customize data:

Write a custom formula to transform one or more series or combine two or more series.

You can begin by adding a series to combine with your existing series.

Now create a custom formula to combine or transform the series.
Need help? []

Finally, you can change the units of your new series.

Select a date that will equal 100 for your custom index:

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Add data series to graph:

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NOTES
Title Release Dates
New Private Housing Units Authorized by Building Permits: 1-Unit Structures for Orlando-Kissimmee-Sanford, FL (MSA) 2012-02-27 2017-09-27
 
Source    
Federal Reserve Bank of St. Louis 2012-02-27 2017-09-27
 
Release    
Housing Units Authorized By Building Permits (Seasonally Adjusted) 2012-02-27 2017-09-27
 
Units    
Units 2012-02-27 2017-09-27
 
Frequency    
Monthly 2012-02-27 2017-09-27
 
Seasonal Adjustment    
Seasonally Adjusted 2012-02-27 2017-09-27
 
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 .

2012-02-27 2017-09-27
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Orlando-Kissimmee, FL MSAs Florida States U.S. Regional Data

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Orlando Permits Florida Buildings 1-Unit Structures Privately Owned Family Metropolitan Statistical Area Housing St. Louis Fed Seasonally Adjusted Monthly United States of America
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