DATA SOURCE
In addition to being included in this replicability package, the data used for this analysis can be found (along with interactive analytical tools) at the website here: Winkler, Richelle, Kenneth M. Johnson, Cheng Cheng, Jim Beaudoin, Paul R. Voss, and Katherine J. Curtis. Age-Specific Net Migration Estimates for US Counties, 1950-2010. Applied Population Laboratory, University of Wisconsin- Madison, 2013. Web. [Accessed 12/1/2013] < http://www.netmigration.wisc.edu/>.							

DATA FILES
Description of variables as follows--									
fips: state-county Federal Information Processing Standard code, string	
id: state-county Federal Information Processing Standard code, numerical
stname: State name
state: State abbreviation
ctyname: County name	
REGION	: Census region	
CLASS:	Rural-Urban continuum classification, prescribed by authors as described in text										

Remaining variable naming conventions:								
Variable names contain 6 fields, and each field contains one type of information about this variable. These fields are described below.		
Note: All ages refer to ages at the end of the decade.							
Field1 (Type of data): r= rate, for net migration rate per 100 expected population
Field2 (Time period in decades): 5= 1950’s; 6= 1960’s; 7=1970’s; 8=1980’s; 9=1990’s; 0=2000’s
Field3 (Race group): t=total/all races; w= white; n= non-white; b= black; o= other
Field4 (Ethnicity	): t= total; n= non-Hispanic; h= Hispanic
Field5 (Sex): t= total; f= female; m= male	
Field6 (Age group):  0=0 to 4; 5=5 to 9; 10= 10 to 14; 15= 15 to 19; 20= 20 to 24; 25= 25 to 29;  30= 30 to 34; 35= 35 to 39; 40= 40 to 44; 45= 45 to 49; 50= 50 to 54;  55= 55 to 59; 60= 60 to 64; 65= 65 to 69; 70= 70 to 74; 75= 75 and over