Frequencies for majappcq variable in fmli011 dataset : majappcq | Freq. Percent Cum. ------------+----------------------------------- 0 | 7,506 97.33 97.33 15 | 1 0.01 97.34 29 | 1 0.01 97.35 30 | 2 0.03 97.38 31 | 1 0.01 97.39 32 | 2 0.03 97.42 37 | 2 0.03 97.45 40 | 1 0.01 97.46 42 | 1 0.01 97.47 43 | 2 0.03 97.50 49 | 1 0.01 97.51 50 | 3 0.04 97.55 52 | 1 0.01 97.56 53 | 5 0.06 97.63 55 | 1 0.01 97.64 60 | 1 0.01 97.65 68 | 1 0.01 97.67 69 | 2 0.03 97.69 70 | 2 0.03 97.72 75 | 3 0.04 97.76 77 | 1 0.01 97.77 80 | 3 0.04 97.81 81 | 1 0.01 97.82 85 | 1 0.01 97.83 89 | 2 0.03 97.86 90 | 2 0.03 97.89 93 | 1 0.01 97.90 95 | 3 0.04 97.94 97 | 1 0.01 97.95 100 | 5 0.06 98.02 102 | 2 0.03 98.04 104 | 1 0.01 98.05 105 | 1 0.01 98.07 106 | 1 0.01 98.08 107 | 1 0.01 98.09 108 | 1 0.01 98.11 116 | 1 0.01 98.12 120 | 2 0.03 98.15 122 | 1 0.01 98.16 125 | 2 0.03 98.18 130 | 1 0.01 98.20 132 | 1 0.01 98.21 133 | 1 0.01 98.22 137 | 1 0.01 98.24 140 | 1 0.01 98.25 150 | 3 0.04 98.29 160 | 1 0.01 98.30 170 | 3 0.04 98.34 174 | 1 0.01 98.35 175 | 1 0.01 98.37 179 | 2 0.03 98.39 180 | 1 0.01 98.41 190 | 1 0.01 98.42 200 | 1 0.01 98.43 208 | 1 0.01 98.44 214 | 1 0.01 98.46 215 | 1 0.01 98.47 234 | 1 0.01 98.48 249 | 1 0.01 98.50 250 | 3 0.04 98.53 270 | 1 0.01 98.55 278 | 1 0.01 98.56 280 | 1 0.01 98.57 283 | 1 0.01 98.59 288 | 1 0.01 98.60 290 | 1 0.01 98.61 292 | 1 0.01 98.63 297 | 1 0.01 98.64 299 | 1 0.01 98.65 300 | 3 0.04 98.69 305 | 2 0.03 98.72 307 | 1 0.01 98.73 309 | 1 0.01 98.74 312 | 1 0.01 98.76 315 | 1 0.01 98.77 350 | 1 0.01 98.78 355 | 1 0.01 98.79 362 | 1 0.01 98.81 368 | 1 0.01 98.82 379 | 1 0.01 98.83 380 | 1 0.01 98.85 388 | 1 0.01 98.86 400 | 3 0.04 98.90 418 | 1 0.01 98.91 420 | 3 0.04 98.95 440 | 1 0.01 98.96 443 | 1 0.01 98.98 445 | 1 0.01 98.99 447 | 1 0.01 99.00 450 | 3 0.04 99.04 455 | 1 0.01 99.05 473 | 1 0.01 99.07 475 | 1 0.01 99.08 477 | 1 0.01 99.09 480 | 1 0.01 99.11 482 | 1 0.01 99.12 489 | 1 0.01 99.13 520 | 1 0.01 99.14 529 | 1 0.01 99.16 530 | 3 0.04 99.20 550 | 1 0.01 99.21 565 | 1 0.01 99.22 580 | 1 0.01 99.23 586 | 1 0.01 99.25 600 | 3 0.04 99.29 603 | 1 0.01 99.30 630 | 1 0.01 99.31 633 | 1 0.01 99.33 635 | 1 0.01 99.34 641 | 1 0.01 99.35 645 | 1 0.01 99.36 650 | 2 0.03 99.39 700 | 1 0.01 99.40 708 | 1 0.01 99.42 746 | 1 0.01 99.43 750 | 4 0.05 99.48 795 | 1 0.01 99.49 800 | 1 0.01 99.51 813 | 1 0.01 99.52 833 | 1 0.01 99.53 840 | 1 0.01 99.55 850 | 3 0.04 99.59 872 | 1 0.01 99.60 900 | 1 0.01 99.61 950 | 2 0.03 99.64 953 | 1 0.01 99.65 970 | 1 0.01 99.66 1028 | 1 0.01 99.68 1035 | 1 0.01 99.69 1060 | 1 0.01 99.70 1090 | 1 0.01 99.71 1095 | 1 0.01 99.73 1127 | 1 0.01 99.74 1200 | 2 0.03 99.77 1263 | 1 0.01 99.78 1300 | 1 0.01 99.79 1332 | 1 0.01 99.81 1400 | 1 0.01 99.82 1500 | 1 0.01 99.83 1525 | 1 0.01 99.84 1575 | 1 0.01 99.86 1600 | 2 0.03 99.88 1845 | 1 0.01 99.90 1900 | 1 0.01 99.91 2035 | 1 0.01 99.92 2250 | 1 0.01 99.94 2300 | 1 0.01 99.95 2400 | 1 0.01 99.96 2457 | 1 0.01 99.97 2475 | 1 0.01 99.99 3212 | 1 0.01 100.00 ------------+----------------------------------- Total | 7,712 100.00 by Jean Roth , jroth@nber.org , 17 Mar 2016