Skip to main content

Home > Releases > Housing Units Authorized By Building Permits > New Private Housing Units Authorized by Building Permits for Palm Coast, FL (MSA) (DISCONTINUED)

New Private Housing Units Authorized by Building Permits for Palm Coast, FL (MSA) (DISCONTINUED) (PALM412BPPRIVSA)

Observations

Dec 2013: 34
Updated: Jan 28, 2014 10:06 AM CST
Dec 2013:  34  
Nov 2013:  73  
Oct 2013:  79  
Sep 2013:  71  
Aug 2013:  41  

Units:

Units,
Seasonally Adjusted

Frequency:

Monthly
1Y5Y10YMax
to
Date:
Bar 1 - New Private Housing Units Authorized by Building Permits for Palm Coast, FL (MSA) Vintage: 2013-12-24
Bar 1
(a) New Private Housing Units Authorized by Building Permits for Palm Coast, FL (MSA), Units, Seasonally Adjusted (PALM412BPPRIVSA)
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.

Select a date that will equal 100 for your custom index:
  Enter date as YYYY-MM-DD
to

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.

Type keywords to search for data

    Now create a custom formula to combine or transform the series.

    For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

    Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

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

    Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD

    Bar 1 - New Private Housing Units Authorized by Building Permits for Palm Coast, FL (MSA) Vintage: 2013-12-24
    Bar 2
    (a) New Private Housing Units Authorized by Building Permits for Palm Coast, FL (MSA), Units, Seasonally Adjusted (PALM412BPPRIVSA)
    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.

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    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.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

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

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

      ADDLINE
      Type keywords to search for data
      Create user-defined line
      You can customize a graph by adding a straight line between two data points.
      FORMAT GRAPH
      Details
      Display
      Customize
      Frame
      Plot area
      Text

      Bar 1
      New Private Housing Units Authorized by Building Permits for Palm Coast, FL (MSA) Vintage: 2013-12-24
      Line details & color

      Line style, thickness, color and position


      Bar 2
      New Private Housing Units Authorized by Building Permits for Palm Coast, FL (MSA) Vintage: 2014-01-28
      Line details & color

      Line style, thickness, color and position



      Fullscreen

      Notes

      Title Release Dates
      New Private Housing Units Authorized by Building Permits for Palm Coast, FL (MSA) 2012-02-27 2018-05-22
      New Private Housing Units Authorized by Building Permits for Palm Coast, FL (MSA) (DISCONTINUED) 2018-05-23 2018-05-23
       
      Source    
      Federal Reserve Bank of St. Louis 2012-02-27 2018-04-23
      U.S. Census Bureau 2018-04-24 2018-05-23
       
      Release    
      Housing Units Authorized By Building Permits (Seasonally Adjusted) 2012-02-27 2018-04-23
      Housing Units Authorized By Building Permits 2018-04-24 2018-05-23
       
      Units    
      Units 2012-02-27 2018-05-23
       
      Frequency    
      Monthly 2012-02-27 2018-05-23
       
      Seasonal Adjustment    
      Seasonally Adjusted 2012-02-27 2018-05-23
       
      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 2018-05-23

      Release Tables

      Related Data and Content

      Data Suggestions Based On Your Search

      Content Suggestions

      Other Formats

      Monthly, Not Seasonally Adjusted

      Related Categories

      Palm Coast, FL MSAs Florida States U.S. Regional Data

      Releases

      More Series from Housing Units Authorized By Building Permits (Seasonally Adjusted)

      Tags

      Palm Coast Permits Buildings Florida New Discontinued Private Housing Metropolitan Statistical Area Seasonally Adjusted Census Monthly Public Domain: Citation Requested United States of America

      Color format