Frequencies for furntrcq variable in fmli132 dataset : furntrcq | Freq. Percent Cum. ------------+----------------------------------- 0 | 6,422 94.97 94.97 5 | 3 0.04 95.02 8 | 1 0.01 95.03 10 | 1 0.01 95.05 13 | 1 0.01 95.06 15 | 4 0.06 95.12 16 | 1 0.01 95.13 19 | 1 0.01 95.15 20 | 2 0.03 95.18 21 | 4 0.06 95.24 25 | 2 0.03 95.27 27 | 2 0.03 95.30 30 | 5 0.07 95.37 32 | 1 0.01 95.39 34 | 1 0.01 95.40 35 | 1 0.01 95.42 36 | 2 0.03 95.45 38 | 1 0.01 95.46 40 | 5 0.07 95.53 41 | 1 0.01 95.55 42 | 2 0.03 95.58 43 | 1 0.01 95.59 44 | 1 0.01 95.61 46 | 1 0.01 95.62 50 | 5 0.07 95.70 51 | 1 0.01 95.71 52 | 1 0.01 95.73 53 | 3 0.04 95.77 54 | 2 0.03 95.80 55 | 1 0.01 95.81 56 | 1 0.01 95.83 60 | 6 0.09 95.92 64 | 1 0.01 95.93 65 | 1 0.01 95.95 69 | 1 0.01 95.96 70 | 2 0.03 95.99 74 | 1 0.01 96.01 75 | 3 0.04 96.05 78 | 1 0.01 96.07 80 | 1 0.01 96.08 85 | 1 0.01 96.10 87 | 1 0.01 96.11 88 | 2 0.03 96.14 90 | 1 0.01 96.15 97 | 1 0.01 96.17 98 | 1 0.01 96.18 100 | 8 0.12 96.30 105 | 1 0.01 96.32 106 | 2 0.03 96.35 107 | 3 0.04 96.39 108 | 1 0.01 96.41 109 | 1 0.01 96.42 110 | 1 0.01 96.44 120 | 6 0.09 96.52 123 | 1 0.01 96.54 130 | 1 0.01 96.55 136 | 4 0.06 96.61 137 | 1 0.01 96.63 140 | 1 0.01 96.64 150 | 10 0.15 96.79 151 | 1 0.01 96.81 153 | 1 0.01 96.82 159 | 2 0.03 96.85 163 | 1 0.01 96.86 166 | 1 0.01 96.88 170 | 1 0.01 96.89 175 | 1 0.01 96.91 187 | 1 0.01 96.92 190 | 3 0.04 96.97 192 | 1 0.01 96.98 193 | 1 0.01 97.00 200 | 8 0.12 97.12 206 | 2 0.03 97.15 211 | 1 0.01 97.16 212 | 1 0.01 97.18 220 | 2 0.03 97.20 225 | 2 0.03 97.23 228 | 1 0.01 97.25 241 | 1 0.01 97.26 244 | 1 0.01 97.28 250 | 4 0.06 97.34 253 | 1 0.01 97.35 260 | 1 0.01 97.37 265 | 1 0.01 97.38 267 | 1 0.01 97.40 269 | 1 0.01 97.41 270 | 2 0.03 97.44 271 | 1 0.01 97.46 276 | 1 0.01 97.47 290 | 1 0.01 97.49 300 | 7 0.10 97.59 314 | 1 0.01 97.60 315 | 1 0.01 97.62 317 | 2 0.03 97.65 326 | 1 0.01 97.66 330 | 1 0.01 97.68 340 | 1 0.01 97.69 350 | 6 0.09 97.78 360 | 1 0.01 97.80 370 | 1 0.01 97.81 378 | 1 0.01 97.83 400 | 3 0.04 97.87 406 | 1 0.01 97.89 412 | 1 0.01 97.90 424 | 1 0.01 97.91 425 | 1 0.01 97.93 427 | 1 0.01 97.94 433 | 2 0.03 97.97 435 | 1 0.01 97.99 444 | 1 0.01 98.00 445 | 2 0.03 98.03 448 | 1 0.01 98.05 450 | 1 0.01 98.06 460 | 1 0.01 98.08 465 | 1 0.01 98.09 480 | 2 0.03 98.12 500 | 5 0.07 98.20 502 | 1 0.01 98.21 505 | 1 0.01 98.23 508 | 1 0.01 98.24 520 | 1 0.01 98.25 522 | 1 0.01 98.27 529 | 1 0.01 98.28 536 | 1 0.01 98.30 550 | 2 0.03 98.33 560 | 1 0.01 98.34 578 | 1 0.01 98.36 600 | 3 0.04 98.40 620 | 1 0.01 98.42 642 | 1 0.01 98.43 649 | 1 0.01 98.45 650 | 4 0.06 98.51 668 | 1 0.01 98.52 675 | 1 0.01 98.54 691 | 1 0.01 98.55 700 | 2 0.03 98.58 715 | 1 0.01 98.60 750 | 2 0.03 98.62 800 | 3 0.04 98.67 837 | 1 0.01 98.68 850 | 1 0.01 98.70 851 | 1 0.01 98.71 899 | 1 0.01 98.73 900 | 4 0.06 98.79 964 | 1 0.01 98.80 975 | 1 0.01 98.82 1000 | 5 0.07 98.89 1009 | 1 0.01 98.91 1070 | 1 0.01 98.92 1100 | 1 0.01 98.94 1150 | 1 0.01 98.95 1200 | 4 0.06 99.01 1240 | 1 0.01 99.02 1255 | 1 0.01 99.04 1260 | 1 0.01 99.05 1284 | 1 0.01 99.07 1285 | 1 0.01 99.08 1299 | 1 0.01 99.10 1300 | 2 0.03 99.13 1400 | 2 0.03 99.16 1411 | 1 0.01 99.17 1438 | 1 0.01 99.19 1500 | 1 0.01 99.20 1525 | 1 0.01 99.22 1592 | 1 0.01 99.23 1600 | 6 0.09 99.32 1605 | 1 0.01 99.33 1632 | 1 0.01 99.35 1675 | 1 0.01 99.36 1700 | 2 0.03 99.39 1780 | 1 0.01 99.41 1800 | 1 0.01 99.42 1810 | 1 0.01 99.44 1854 | 1 0.01 99.45 1915 | 1 0.01 99.47 1916 | 1 0.01 99.48 2000 | 8 0.12 99.60 2165 | 1 0.01 99.62 2200 | 3 0.04 99.66 2250 | 1 0.01 99.67 2310 | 1 0.01 99.69 2400 | 1 0.01 99.70 2500 | 1 0.01 99.72 2568 | 1 0.01 99.73 2600 | 1 0.01 99.75 2650 | 1 0.01 99.76 2892 | 1 0.01 99.78 2951 | 1 0.01 99.79 2968 | 1 0.01 99.81 3000 | 1 0.01 99.82 3200 | 1 0.01 99.84 3424 | 1 0.01 99.85 3600 | 1 0.01 99.87 3889 | 1 0.01 99.88 4000 | 1 0.01 99.90 5000 | 2 0.03 99.93 5200 | 1 0.01 99.94 5700 | 1 0.01 99.96 6402 | 1 0.01 99.97 6500 | 1 0.01 99.99 10479 | 1 0.01 100.00 ------------+----------------------------------- Total | 6,762 100.00 by Jean Roth , jroth@nber.org , 17 Mar 2016