Frequencies for liquidx variable in fmli132 dataset : liquidx | Freq. Percent Cum. ------------+----------------------------------- 0 | 317 4.69 4.69 1 | 5 0.07 4.76 2 | 31 0.46 5.22 3 | 1 0.01 5.24 4 | 1 0.01 5.25 5 | 9 0.13 5.38 10 | 5 0.07 5.46 11 | 2 0.03 5.49 12 | 1 0.01 5.50 15 | 1 0.01 5.52 20 | 1 0.01 5.53 25 | 1 0.01 5.55 30 | 2 0.03 5.58 35 | 1 0.01 5.59 38 | 2 0.03 5.62 40 | 2 0.03 5.65 43 | 1 0.01 5.66 46 | 1 0.01 5.68 50 | 5 0.07 5.75 60 | 1 0.01 5.77 65 | 1 0.01 5.78 71 | 1 0.01 5.80 75 | 2 0.03 5.83 80 | 1 0.01 5.84 86 | 1 0.01 5.86 88 | 1 0.01 5.87 92 | 1 0.01 5.89 94 | 1 0.01 5.90 95 | 1 0.01 5.92 100 | 14 0.21 6.12 103 | 1 0.01 6.14 120 | 1 0.01 6.15 125 | 2 0.03 6.18 130 | 1 0.01 6.20 150 | 1 0.01 6.21 151 | 1 0.01 6.23 167 | 1 0.01 6.24 180 | 1 0.01 6.26 194 | 1 0.01 6.27 200 | 22 0.33 6.60 213 | 1 0.01 6.61 230 | 1 0.01 6.63 235 | 1 0.01 6.64 260 | 1 0.01 6.65 300 | 13 0.19 6.85 350 | 2 0.03 6.88 360 | 1 0.01 6.89 375 | 1 0.01 6.91 400 | 7 0.10 7.01 428 | 1 0.01 7.02 450 | 2 0.03 7.05 500 | 30 0.44 7.50 530 | 1 0.01 7.51 535 | 1 0.01 7.53 539 | 1 0.01 7.54 574 | 1 0.01 7.56 580 | 1 0.01 7.57 600 | 6 0.09 7.66 630 | 1 0.01 7.68 700 | 3 0.04 7.72 701 | 1 0.01 7.73 712 | 1 0.01 7.75 750 | 1 0.01 7.76 800 | 8 0.12 7.88 846 | 1 0.01 7.90 850 | 1 0.01 7.91 900 | 4 0.06 7.97 1000 | 36 0.53 8.50 1100 | 2 0.03 8.53 1160 | 1 0.01 8.55 1200 | 7 0.10 8.65 1215 | 1 0.01 8.67 1300 | 4 0.06 8.73 1330 | 1 0.01 8.74 1384 | 1 0.01 8.75 1400 | 4 0.06 8.81 1500 | 14 0.21 9.02 1600 | 3 0.04 9.07 1605 | 1 0.01 9.08 1672 | 1 0.01 9.09 1700 | 1 0.01 9.11 1750 | 1 0.01 9.12 1776 | 1 0.01 9.14 1800 | 2 0.03 9.17 1831 | 1 0.01 9.18 1836 | 1 0.01 9.20 1860 | 1 0.01 9.21 1900 | 1 0.01 9.23 2000 | 32 0.47 9.70 2005 | 1 0.01 9.72 2100 | 3 0.04 9.76 2192 | 1 0.01 9.78 2200 | 3 0.04 9.82 2345 | 1 0.01 9.83 2400 | 1 0.01 9.85 2500 | 6 0.09 9.94 2600 | 1 0.01 9.95 2700 | 1 0.01 9.97 2800 | 2 0.03 10.00 2870 | 1 0.01 10.01 3000 | 27 0.40 10.41 3125 | 1 0.01 10.43 3200 | 2 0.03 10.46 3235 | 1 0.01 10.47 3301 | 1 0.01 10.49 3400 | 1 0.01 10.50 3500 | 3 0.04 10.54 3572 | 1 0.01 10.56 3600 | 1 0.01 10.57 3700 | 2 0.03 10.60 4000 | 24 0.35 10.96 4500 | 4 0.06 11.02 4800 | 1 0.01 11.03 5000 | 41 0.61 11.64 5200 | 1 0.01 11.65 5500 | 1 0.01 11.67 5600 | 1 0.01 11.68 5789 | 1 0.01 11.70 6000 | 11 0.16 11.86 6500 | 2 0.03 11.89 6600 | 1 0.01 11.90 7000 | 8 0.12 12.02 7500 | 1 0.01 12.04 7700 | 1 0.01 12.05 8000 | 11 0.16 12.22 8200 | 1 0.01 12.23 8500 | 1 0.01 12.24 9000 | 6 0.09 12.33 9500 | 1 0.01 12.35 9677 | 1 0.01 12.36 10000 | 38 0.56 12.93 10300 | 1 0.01 12.94 11000 | 9 0.13 13.07 12000 | 9 0.13 13.21 12500 | 1 0.01 13.22 13000 | 5 0.07 13.29 14000 | 2 0.03 13.32 14800 | 1 0.01 13.34 15000 | 17 0.25 13.59 15102 | 1 0.01 13.61 15200 | 1 0.01 13.62 15500 | 1 0.01 13.64 16000 | 5 0.07 13.71 17000 | 4 0.06 13.77 18000 | 4 0.06 13.83 19000 | 3 0.04 13.87 19566 | 1 0.01 13.89 20000 | 32 0.47 14.36 20817 | 1 0.01 14.37 21000 | 1 0.01 14.39 21685 | 1 0.01 14.40 22000 | 3 0.04 14.45 22700 | 1 0.01 14.46 24000 | 2 0.03 14.49 25000 | 16 0.24 14.73 26000 | 1 0.01 14.74 27000 | 1 0.01 14.76 28000 | 1 0.01 14.77 29000 | 1 0.01 14.79 30000 | 11 0.16 14.95 31500 | 1 0.01 14.97 32000 | 3 0.04 15.01 33000 | 1 0.01 15.03 35000 | 5 0.07 15.10 36800 | 1 0.01 15.11 38000 | 1 0.01 15.13 39950 | 1 0.01 15.14 40000 | 11 0.16 15.31 45000 | 2 0.03 15.34 46000 | 1 0.01 15.35 46492 | 1 0.01 15.37 48000 | 1 0.01 15.38 49000 | 1 0.01 15.39 50000 | 11 0.16 15.56 55000 | 4 0.06 15.62 58000 | 1 0.01 15.63 60000 | 7 0.10 15.73 65000 | 3 0.04 15.78 66800 | 1 0.01 15.79 67000 | 2 0.03 15.82 68000 | 1 0.01 15.84 70000 | 3 0.04 15.88 75000 | 3 0.04 15.93 75386 | 1 0.01 15.94 80000 | 4 0.06 16.00 82000 | 1 0.01 16.02 90000 | 1 0.01 16.03 93000 | 1 0.01 16.05 96000 | 1 0.01 16.06 100000 | 15 0.22 16.28 103000 | 1 0.01 16.30 110000 | 5 0.07 16.37 120000 | 3 0.04 16.42 130000 | 1 0.01 16.43 145000 | 1 0.01 16.44 150000 | 4 0.06 16.50 160000 | 1 0.01 16.52 490959 | 27 0.40 16.92 . | 5,618 83.08 100.00 ------------+----------------------------------- Total | 6,762 100.00 by Jean Roth , jroth@nber.org , 17 Mar 2016