Frequencies for majappcq variable in fmli132 dataset : majappcq | Freq. Percent Cum. ------------+----------------------------------- 0 | 6,559 97.00 97.00 6 | 1 0.01 97.01 10 | 2 0.03 97.04 20 | 3 0.04 97.09 21 | 2 0.03 97.12 30 | 1 0.01 97.13 35 | 1 0.01 97.15 40 | 4 0.06 97.20 50 | 3 0.04 97.25 51 | 1 0.01 97.26 53 | 2 0.03 97.29 54 | 1 0.01 97.31 55 | 1 0.01 97.32 60 | 3 0.04 97.37 61 | 1 0.01 97.38 65 | 1 0.01 97.40 69 | 3 0.04 97.44 70 | 1 0.01 97.46 75 | 2 0.03 97.49 80 | 2 0.03 97.52 81 | 2 0.03 97.55 86 | 1 0.01 97.56 88 | 1 0.01 97.57 89 | 1 0.01 97.59 91 | 1 0.01 97.60 99 | 1 0.01 97.62 100 | 8 0.12 97.74 105 | 1 0.01 97.75 110 | 1 0.01 97.77 115 | 1 0.01 97.78 116 | 1 0.01 97.80 117 | 1 0.01 97.81 120 | 1 0.01 97.83 124 | 1 0.01 97.84 125 | 2 0.03 97.87 130 | 3 0.04 97.91 135 | 1 0.01 97.93 140 | 3 0.04 97.97 150 | 3 0.04 98.02 159 | 2 0.03 98.05 160 | 1 0.01 98.06 161 | 1 0.01 98.08 162 | 1 0.01 98.09 164 | 1 0.01 98.11 165 | 1 0.01 98.12 169 | 1 0.01 98.14 175 | 3 0.04 98.18 180 | 2 0.03 98.21 189 | 1 0.01 98.23 190 | 1 0.01 98.24 193 | 1 0.01 98.25 200 | 2 0.03 98.28 204 | 1 0.01 98.30 205 | 1 0.01 98.31 206 | 1 0.01 98.33 210 | 1 0.01 98.34 211 | 1 0.01 98.36 213 | 1 0.01 98.37 228 | 1 0.01 98.39 239 | 1 0.01 98.40 240 | 1 0.01 98.42 250 | 3 0.04 98.46 251 | 1 0.01 98.48 254 | 1 0.01 98.49 257 | 1 0.01 98.51 259 | 2 0.03 98.54 260 | 1 0.01 98.55 265 | 1 0.01 98.57 300 | 2 0.03 98.60 312 | 1 0.01 98.61 320 | 1 0.01 98.62 325 | 1 0.01 98.64 340 | 1 0.01 98.65 350 | 2 0.03 98.68 400 | 2 0.03 98.71 429 | 1 0.01 98.73 449 | 1 0.01 98.74 450 | 1 0.01 98.76 458 | 1 0.01 98.77 459 | 1 0.01 98.79 460 | 1 0.01 98.80 473 | 1 0.01 98.82 480 | 1 0.01 98.83 483 | 1 0.01 98.85 499 | 1 0.01 98.86 509 | 1 0.01 98.88 540 | 1 0.01 98.89 550 | 2 0.03 98.92 570 | 1 0.01 98.94 599 | 1 0.01 98.95 600 | 2 0.03 98.98 671 | 1 0.01 98.99 690 | 1 0.01 99.01 700 | 4 0.06 99.07 717 | 1 0.01 99.08 750 | 2 0.03 99.11 758 | 1 0.01 99.13 775 | 1 0.01 99.14 800 | 4 0.06 99.20 812 | 1 0.01 99.22 842 | 1 0.01 99.23 850 | 1 0.01 99.25 860 | 2 0.03 99.28 868 | 1 0.01 99.29 930 | 1 0.01 99.30 980 | 1 0.01 99.32 1000 | 2 0.03 99.35 1046 | 2 0.03 99.38 1085 | 1 0.01 99.39 1100 | 2 0.03 99.42 1200 | 1 0.01 99.44 1256 | 1 0.01 99.45 1300 | 3 0.04 99.50 1301 | 1 0.01 99.51 1400 | 2 0.03 99.54 1500 | 2 0.03 99.57 1580 | 1 0.01 99.59 1589 | 1 0.01 99.60 1600 | 5 0.07 99.67 1650 | 1 0.01 99.69 1720 | 1 0.01 99.70 1764 | 1 0.01 99.72 1785 | 1 0.01 99.73 2200 | 5 0.07 99.81 2237 | 1 0.01 99.82 2350 | 1 0.01 99.84 2800 | 1 0.01 99.85 3075 | 1 0.01 99.87 3100 | 1 0.01 99.88 3260 | 1 0.01 99.90 3300 | 1 0.01 99.91 3320 | 1 0.01 99.93 3499 | 1 0.01 99.94 4700 | 1 0.01 99.96 4725 | 1 0.01 99.97 6075 | 1 0.01 99.99 8870 | 1 0.01 100.00 ------------+----------------------------------- Total | 6,762 100.00 by Jean Roth , jroth@nber.org , 17 Mar 2016