Given your data example you may want to presummarize counts and calculate the rate. My reasons for this are 1) your variable grad_status is apparently character which means it can only be used as a class variable, 2) unless you use the option missing for the class variable grad_status you will have a lot of records excluded (tabulate by default excludes any record with any class variable missing) and 3) the pctn<> calculation will create columns for the "missing" grad_status.
Your explanation is also a bit incomplete. You claim "The first table shows a total of 7 Female Non Resident aliens and of them 5 transferred which makes it 71% for that cell (5/7=71%).". I do not see any indication of 7 Female Non-resident aliens.
Sometimes it makes a lot of sense to create indicator variables such a 1/0 for "Transfer without Graduation". Create a variable if the status is know with 1 for true(Transfer without Graduation) and 0 for not. Then you can use tabulate statistics to do 3 things: n => how many valid records, sum => number of true(or yes or however you think of it) and mean will give percentage as a decimal.
You might get a more targeted response providing a small data set in the form a data step to test data with. Instructions here: https://communities.sas.com/t5/SAS-Communities-Library/How-to-create-a-data-step-version-of-your-data-AKA-generate/ta-p/258712 will show how to turn an existing SAS data set into data step code that can be pasted into a forum code box using the {i} icon or attached as text to show exactly what you have and that we can test code against.
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