MERGE has a specific meaning in SAS and I suspect you are conceptually using the word merge in a different meaning. Here is an example of a MERGE of two data sets in SAS with no common variables so you can see the result: data work.one; input x y; datalines; 1 2 3 4 6 6 ; data work.two; input w z; datalines; 33 44 55 66 ; /* no common variables*/ data work.merge1; merge work.one work.two; run; MERGE in SAS means to align rows side by side. If there are common values then the values from one data set will appear data work.three; input x z; datalines; 99 88 88 99 ; /* common variable*/ data work.merge2; merge work.one work.three; run; Notice that the values of X in the work.merge2 data set for the first two rows are the X values from work.three. Your merge meant that since you have the same variables in both sets that most likely you only see the "google" data.   What you want apparently is to STACK records from one set above the other. That is done in a data step with the SET statement. This shows what SET will do with data with no common variables and once common variable. data work.set1; set work.one work.two; run; /* or with one common variable*/ data work.set2; set work.one work.three; run; I suspect you're going to have some issues about lengths of common variables though. ... View more

Hint: Paste examples of text files like CSV into a code box opened on the forum with the {I} icon so you get something like: name,sex,age,height,weight Alfred ,M ,14,69,112.5 Alice ,F ,13,56.5,84 Barbara ,F ,13,65.3,98 Carol ,F ,14,62.8,102.5 Henry ,M ,14,63.5,102.5 James ,M ,12,57.3,83 Then we can see your data without downloading it. Also because of a variety of issues between the forum and such the CSV may only be "viewed" as a spreadsheet. Which in some cases has a potential for making the data look different than it actually is and can them be difficult to trace down what you see when attempting something versus what we have available.   Since CSV are not data sets they do not actually have "variable names" yet, only column headers. When you read the CSV into a SAS data set then you get variables. So read the CSV so that the correct variable names are used in the first place. At the same time you should also make sure that properties like variable type, numeric or character, and lengths are the same if the intent is to combine this data. ... View more