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M Hello Mike, I must be in a good mood today. One possible answer to trivial question follows: Since you are unlikely to have ages greater than 100, simply create a single element array. D ages S 10I 0 DIM(100) Then use the age from the file as the index into the array and simply add one to that element. Thus the entries will automatically be in order. For each record: C READ employee C EVAL ages(age) Šages(age) + 1 At EOF simply loop through the array printing the age counts. Skip any entries with a zero value. Since I presume you aren't using child labour you could reduce the number of elements required by subtracting the minimum legal working age from your age index. Of course, you could probably do this with SQL and generate a table of buckets using the Kronecker algorithm in a single statement but that would be complex and set Joe off on why SQL is unsuitable ... (gentle dig!). You could also use the SQL CASE construct as shown in recent examples on this list but that would be ugly in this case (urrgh, I hate puns!). Regards, Simon Coulter. «»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«» «» FlyByNight Software AS/400 Technical Specialists «» «» Eclipse the competition - run your business on an IBM AS/400. «» «» «» «» Phone: +61 3 9419 0175 Mobile: +61 0411 091 400 /"\ «» «» Fax: +61 3 9419 0175 mailto: shc@flybynight.com.au \ / «» «» X «» «» ASCII Ribbon campaign against HTML E-Mail / \ «» «»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»«»
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