Hi SAS friends,
I was wondering if it is possible to merge on a higher level variable simultaneously. for example to merge on state and county in one step (all state codes are built into county codes).
data County_Pop;
input State :$2. County :$5. cName :$25. Population;
format Population Comma16.;
datalines;
01 01001 Autauga 222135
01 01011 Bullock 300000
01 01023 Choctaw 115000
42 42003 Allegheny 389471
42 42101 Philadelphia 2689765
;;;;
run;
data County_HH;
input State :$2. County :$5. cName :$25. Households;
format Households Comma16.;
datalines;
01 01001 Autauga 106625
01 01011 Bullock 144000
01 01023 Choctaw 55200
42 42003 Allegheny 186946
42 42101 Philadelphia 1291087
run;
data State_Names;
input State :$2. sName $25.;
datalines;
01 Alabama
42 Pennsylvania
run;
data want;
merge County_HH County_Pop State_Names;
by ??? ;
run;
Since both of your County_Hh and County_Pop data sets contain the "county", which I recognize as FIPS or whatever they changed the name to codes, and a State code I would instead use the SAS supplied FIPSTATE or FIPNAMEL function to create the desired text instead of bothering to merge a third dataset.
Add code:
sName = FIPNAMEL(state);
to the data set merging the two sets.
Thanks ballardw. i never knew about the FIPNAMEL function. Do you know if there is a similar function for Census Region/Division?
No function I am aware of. However if you can get any list of code values with text you want to display it is not very difficult to create a custom format that will display the desired value OR use a Put statement to create a new variable. Look up Proc Format and a CNTLIN dataset.
Hash tables and/or sql joins are also another way to merge data if you can get the codes and values in a dataset.
I developed the attached SAS macro (util_addCensusRegnDiv.sas) sometime ago, and here is a usage example
/* ***************************************************** */
/* Add Census Regions and Divisions of the United States */
/* ***************************************************** */
%util_addCensusRegnDiv( p_dsName=county_HH, p_stateVarName=%str(input(state,$2.)) );
Hope this helps,
Ahmed
Hi ,
I am not aware of this functions mentioned above by ballardw..i did normal merge on your data to map the state names and codes...
proc sort data=County_Pop;by State County cName; run;
proc sort data=County_HH;by State County cName; run;
proc sort data=State_Names;by State; run;
data want ;
merge County_Pop(in=a) County_HH(in=b) State_Names (in=c);
by State ;
if a and b;
run;
By running the above code i got the o/p as follows
State | County | cName | Population | Households | sName |
01 | 01001 | Autauga | 222,135 | 106,625 | Alabama |
01 | 01011 | Bullock | 300,000 | 144,000 | Alabama |
01 | 01023 | Choctaw | 115,000 | 55,200 | Alabama |
42 | 42003 | Allegheny | 389,471 | 186,946 | Pennsylvania |
42 | 42101 | Philadelphia | 2,689,765 | 1,291,087 | Pennsylvania |
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