Thanks but that won't work. But i think i might have solved it. I just created a new variable using condition statement and created four categories for the new variable where 1. a person has condition and insurance. 2. Has condition but no insurance 3. No condition but has insurance 4. no condition and no insurance then used this new variable for a two way table with year variable using code:   proc freq data=mythesis.jdata ; tables condition_coverage*year_class/ chisq; weight perweight1; run; and got following output:  Table of condition_coverage by year_class condition_coverage year_class Frequency Percent Row Pct Col Pct post pre Total nocond_hascovera 3.364E7 21.26 51.85 42.74 3.124E7 19.74 48.15 39.28 6.488E7 41.01 nocond_nocoverag 5818615 3.68 37.69 7.39 9618986 6.08 62.31 12.10 1.544E7 9.76 preex_nocoverage 3492139 2.21 36.03 4.44 6198915 3.92 63.97 7.80 9691053 6.13 prex_hascoverage 3.575E7 22.60 52.41 45.43 3.246E7 20.52 47.59 40.82 6.821E7 43.11 Total 7.87E7 49.74 7.951E7 50.26 1.582E8 100.00     Looks like that solves the question. Will update once i get it verified if this solution is correct. Thanks again.  ... View more