ALFRED Graph (COLU139BPPRIVSA)
Observation:
Apr 2013: 930 (+ more)Updated: May 28, 2013
Apr 2013:  930  
Mar 2013:  230  
Feb 2013:  804  
Jan 2013:  912  
Dec 2012:  492 
Units:
Units,Seasonally Adjusted
Frequency:
MonthlyThe seasonal moving average function used is that of the Census Bureau's X11ARIMA 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 X12 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 for Columbus, OH (MSA)
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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, ab, (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.
The seasonal moving average function used is that of the Census Bureau's X11ARIMA 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 X12 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 for Columbus, OH (MSA)
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? []
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, ab, (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.
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Title  Release Dates  


New Private Housing Units Authorized by Building Permits for Columbus, OH (MSA)  20120227  20180625 
Source  


Federal Reserve Bank of St. Louis  20120227  20180423 
U.S. Bureau of the Census  20180424  20180625 
Release  


Housing Units Authorized By Building Permits (Seasonally Adjusted)  20120227  20180423 
Housing Units Authorized By Building Permits  20180424  20180625 
Units  


Units  20120227  20180625 
Frequency  


Monthly  20120227  20180625 
Seasonal Adjustment  


Seasonally Adjusted  20120227  20180625 
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 X12 Procedure of SAS to remove the seasonal component of the series so that nonseasonal trends can be analyzed. This procedure is based on the U.S. Bureau of the Census X12ARIMA 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 X11ARIMA 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 X12 procedure, please visit their website: http://support.sas.com/documentation/cdl/en/etsug/60372/HTML/default/viewer.htm#etsug_x12_sect001.htm . 
20120227  20180625 
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