Home > Releases > Number of Exporters and Known Value for All Countries on a StatebyState Basis > Number of Identified Exporters to Greenland from Pennsylvania
Number of Identified Exporters to Greenland from Pennsylvania (PAGRLA475SCEN)
Observation:
2016: 1 (+ more)Updated: Jun 26, 2018
2016:  1  
2015:  2  
2014:  5  
2013:  1  
2012:  2 
Units:
Number of Firms,Not Seasonally Adjusted
Frequency:
AnnualNumber of Identified Exporters to Greenland from Pennsylvania
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Number of Identified Exporters to Greenland from Pennsylvania
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  


Number of Identified Exporters to Greenland from Pennsylvania  20150814  20171205 
Source  


U.S. Bureau of the Census  20150814  20171205 
Release  


Number of Exporters and Known Value for All Countries on a StatebyState Basis  20150814  20171205 
Units  


Number of Firms  20150814  20171205 
Frequency  


Annual  20150814  20171205 
Seasonal Adjustment  


Not Seasonally Adjusted  20150814  20171205 
Notes  


This data series illustrates the movement of exports from the given state to the given country. A missing observation can mean two things. First, missing observations can appear because no exports were made to the listed country that year. Secondly, it could signify a low number of exporters thus giving away proprietary data away.

20150814  20171205 
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