Frequencies for fssix variable in fmli132 dataset : fssix | Freq. Percent Cum. ------------+----------------------------------- 0 | 6,486 95.92 95.92 1 | 1 0.01 95.93 2 | 1 0.01 95.95 7 | 1 0.01 95.96 17 | 1 0.01 95.98 29 | 1 0.01 95.99 49 | 1 0.01 96.01 60 | 1 0.01 96.02 76 | 1 0.01 96.04 103 | 1 0.01 96.05 108 | 2 0.03 96.08 114 | 1 0.01 96.10 120 | 1 0.01 96.11 127 | 1 0.01 96.13 151 | 1 0.01 96.14 170 | 1 0.01 96.15 174 | 1 0.01 96.17 180 | 1 0.01 96.18 189 | 1 0.01 96.20 198 | 1 0.01 96.21 232 | 1 0.01 96.23 253 | 1 0.01 96.24 266 | 1 0.01 96.26 280 | 1 0.01 96.27 300 | 1 0.01 96.29 316 | 1 0.01 96.30 318 | 1 0.01 96.32 320 | 1 0.01 96.33 336 | 1 0.01 96.35 365 | 1 0.01 96.36 379 | 1 0.01 96.38 384 | 6 0.09 96.47 400 | 2 0.03 96.50 432 | 1 0.01 96.51 454 | 1 0.01 96.52 462 | 1 0.01 96.54 480 | 2 0.03 96.57 481 | 1 0.01 96.58 510 | 1 0.01 96.60 564 | 1 0.01 96.61 600 | 3 0.04 96.66 623 | 1 0.01 96.67 639 | 1 0.01 96.69 644 | 1 0.01 96.70 648 | 1 0.01 96.72 674 | 1 0.01 96.73 684 | 1 0.01 96.75 690 | 1 0.01 96.76 695 | 1 0.01 96.78 698 | 2 0.03 96.81 703 | 1 0.01 96.82 709 | 1 0.01 96.84 710 | 13 0.19 97.03 712 | 1 0.01 97.04 730 | 1 0.01 97.06 733 | 1 0.01 97.07 756 | 1 0.01 97.09 770 | 1 0.01 97.10 787 | 1 0.01 97.12 789 | 1 0.01 97.13 796 | 1 0.01 97.15 798 | 1 0.01 97.16 814 | 1 0.01 97.18 840 | 1 0.01 97.19 860 | 1 0.01 97.20 863 | 1 0.01 97.22 864 | 1 0.01 97.23 866 | 2 0.03 97.26 870 | 1 0.01 97.28 900 | 1 0.01 97.29 940 | 1 0.01 97.31 1000 | 1 0.01 97.32 1007 | 1 0.01 97.34 1060 | 1 0.01 97.35 1061 | 1 0.01 97.37 1080 | 1 0.01 97.38 1100 | 1 0.01 97.40 1104 | 1 0.01 97.41 1150 | 1 0.01 97.43 1200 | 5 0.07 97.50 1251 | 1 0.01 97.52 1286 | 1 0.01 97.53 1300 | 1 0.01 97.55 1316 | 1 0.01 97.56 1380 | 1 0.01 97.57 1400 | 4 0.06 97.63 1420 | 3 0.04 97.68 1460 | 1 0.01 97.69 1465 | 1 0.01 97.71 1500 | 5 0.07 97.78 1560 | 1 0.01 97.80 1600 | 1 0.01 97.81 1615 | 1 0.01 97.83 1665 | 1 0.01 97.84 1688 | 1 0.01 97.86 1848 | 1 0.01 97.87 1950 | 1 0.01 97.89 2000 | 1 0.01 97.90 2040 | 1 0.01 97.91 2100 | 1 0.01 97.93 2200 | 1 0.01 97.94 2244 | 1 0.01 97.96 2300 | 1 0.01 97.97 2400 | 1 0.01 97.99 2460 | 3 0.04 98.03 2568 | 1 0.01 98.05 3000 | 1 0.01 98.06 3210 | 1 0.01 98.08 3500 | 1 0.01 98.09 3535 | 1 0.01 98.11 3600 | 1 0.01 98.12 3768 | 1 0.01 98.14 3862 | 1 0.01 98.15 4236 | 1 0.01 98.17 4512 | 1 0.01 98.18 4800 | 2 0.03 98.21 5000 | 1 0.01 98.23 5016 | 1 0.01 98.24 5350 | 1 0.01 98.25 5372 | 1 0.01 98.27 5400 | 1 0.01 98.28 5568 | 1 0.01 98.30 5676 | 1 0.01 98.31 5784 | 1 0.01 98.33 6000 | 5 0.07 98.40 6240 | 1 0.01 98.42 6535 | 1 0.01 98.43 7000 | 3 0.04 98.48 7200 | 3 0.04 98.52 7400 | 1 0.01 98.54 7680 | 1 0.01 98.55 7776 | 1 0.01 98.57 7800 | 1 0.01 98.58 8000 | 1 0.01 98.60 8160 | 1 0.01 98.61 8300 | 1 0.01 98.62 8376 | 1 0.01 98.64 8388 | 2 0.03 98.67 8400 | 11 0.16 98.83 8424 | 1 0.01 98.85 8436 | 1 0.01 98.86 8500 | 2 0.03 98.89 8510 | 1 0.01 98.91 8520 | 9 0.13 99.04 8652 | 2 0.03 99.07 8700 | 2 0.03 99.10 8748 | 1 0.01 99.11 8844 | 1 0.01 99.13 9000 | 1 0.01 99.14 9010 | 1 0.01 99.16 9480 | 1 0.01 99.17 9545 | 1 0.01 99.19 9600 | 8 0.12 99.30 9612 | 1 0.01 99.32 9800 | 1 0.01 99.33 9960 | 1 0.01 99.35 10000 | 2 0.03 99.38 10200 | 2 0.03 99.41 10260 | 2 0.03 99.44 10272 | 1 0.01 99.45 10320 | 1 0.01 99.47 10392 | 1 0.01 99.48 10596 | 1 0.01 99.50 10800 | 1 0.01 99.51 11040 | 1 0.01 99.53 11160 | 1 0.01 99.54 11250 | 1 0.01 99.56 12000 | 7 0.10 99.66 12645 | 1 0.01 99.67 13008 | 1 0.01 99.69 13100 | 1 0.01 99.70 13200 | 1 0.01 99.72 13300 | 1 0.01 99.73 14400 | 1 0.01 99.75 14658 | 1 0.01 99.76 14706 | 1 0.01 99.78 15120 | 1 0.01 99.79 15280 | 1 0.01 99.81 16176 | 1 0.01 99.82 16868 | 1 0.01 99.84 17760 | 1 0.01 99.85 20718 | 1 0.01 99.87 21000 | 1 0.01 99.88 21200 | 1 0.01 99.90 25128 | 1 0.01 99.91 30000 | 1 0.01 99.93 30480 | 1 0.01 99.94 31104 | 1 0.01 99.96 36000 | 1 0.01 99.97 45408 | 1 0.01 99.99 57600 | 1 0.01 100.00 ------------+----------------------------------- Total | 6,762 100.00 by Jean Roth , jroth@nber.org , 17 Mar 2016