Frequencies for liqudyrx variable in fmli132 dataset : liqudyrx | Freq. Percent Cum. ------------+----------------------------------- 0 | 343 5.07 5.07 2 | 23 0.34 5.41 3 | 1 0.01 5.43 4 | 1 0.01 5.44 5 | 4 0.06 5.50 10 | 4 0.06 5.56 11 | 1 0.01 5.58 12 | 1 0.01 5.59 15 | 1 0.01 5.60 20 | 3 0.04 5.65 25 | 2 0.03 5.68 30 | 2 0.03 5.71 35 | 1 0.01 5.72 38 | 1 0.01 5.74 50 | 6 0.09 5.83 60 | 1 0.01 5.84 75 | 3 0.04 5.89 100 | 18 0.27 6.15 125 | 3 0.04 6.20 130 | 1 0.01 6.21 140 | 1 0.01 6.23 150 | 4 0.06 6.29 171 | 1 0.01 6.30 180 | 1 0.01 6.31 200 | 23 0.34 6.65 250 | 2 0.03 6.68 275 | 1 0.01 6.70 300 | 9 0.13 6.83 350 | 3 0.04 6.88 360 | 1 0.01 6.89 400 | 9 0.13 7.02 450 | 1 0.01 7.04 500 | 35 0.52 7.56 535 | 1 0.01 7.57 539 | 1 0.01 7.59 600 | 5 0.07 7.66 630 | 1 0.01 7.68 674 | 1 0.01 7.69 700 | 2 0.03 7.72 712 | 1 0.01 7.73 750 | 1 0.01 7.75 800 | 7 0.10 7.85 900 | 5 0.07 7.93 1000 | 39 0.58 8.50 1100 | 2 0.03 8.53 1160 | 1 0.01 8.55 1200 | 5 0.07 8.62 1250 | 1 0.01 8.64 1300 | 1 0.01 8.65 1400 | 6 0.09 8.74 1500 | 11 0.16 8.90 1600 | 2 0.03 8.93 1800 | 2 0.03 8.96 2000 | 41 0.61 9.57 2091 | 1 0.01 9.58 2100 | 1 0.01 9.60 2102 | 1 0.01 9.61 2200 | 4 0.06 9.67 2400 | 1 0.01 9.69 2500 | 5 0.07 9.76 2700 | 1 0.01 9.78 2725 | 1 0.01 9.79 3000 | 35 0.52 10.31 3200 | 1 0.01 10.32 3300 | 1 0.01 10.34 3301 | 1 0.01 10.35 3500 | 5 0.07 10.43 3600 | 1 0.01 10.44 3800 | 3 0.04 10.49 4000 | 20 0.30 10.78 4100 | 1 0.01 10.80 4400 | 1 0.01 10.81 4500 | 2 0.03 10.84 4800 | 1 0.01 10.85 5000 | 34 0.50 11.36 5200 | 1 0.01 11.37 5500 | 1 0.01 11.39 6000 | 10 0.15 11.54 6500 | 1 0.01 11.55 7000 | 4 0.06 11.61 7500 | 1 0.01 11.62 7700 | 1 0.01 11.64 8000 | 10 0.15 11.79 8200 | 1 0.01 11.80 9000 | 5 0.07 11.88 9999 | 1 0.01 11.89 10000 | 39 0.58 12.47 10500 | 1 0.01 12.48 11000 | 5 0.07 12.56 12000 | 10 0.15 12.70 13000 | 5 0.07 12.78 14000 | 2 0.03 12.81 14300 | 1 0.01 12.82 14500 | 1 0.01 12.84 15000 | 15 0.22 13.06 16000 | 4 0.06 13.12 17000 | 1 0.01 13.13 17500 | 1 0.01 13.15 18000 | 4 0.06 13.21 19000 | 3 0.04 13.25 19300 | 1 0.01 13.27 20000 | 17 0.25 13.52 21000 | 1 0.01 13.53 21600 | 1 0.01 13.55 22000 | 2 0.03 13.58 23000 | 1 0.01 13.59 24000 | 3 0.04 13.64 25000 | 17 0.25 13.89 26000 | 2 0.03 13.92 26800 | 1 0.01 13.93 27000 | 1 0.01 13.95 28000 | 1 0.01 13.96 29000 | 1 0.01 13.98 30000 | 8 0.12 14.09 31500 | 1 0.01 14.11 32000 | 1 0.01 14.12 33285 | 1 0.01 14.14 34000 | 1 0.01 14.15 35000 | 9 0.13 14.29 36000 | 1 0.01 14.30 38000 | 1 0.01 14.32 39000 | 1 0.01 14.33 40000 | 9 0.13 14.46 41000 | 1 0.01 14.48 42000 | 1 0.01 14.49 45000 | 4 0.06 14.55 46000 | 1 0.01 14.57 47000 | 1 0.01 14.58 50000 | 12 0.18 14.76 55000 | 3 0.04 14.80 55010 | 1 0.01 14.82 60000 | 7 0.10 14.92 65000 | 3 0.04 14.97 68000 | 1 0.01 14.98 70000 | 3 0.04 15.03 72000 | 1 0.01 15.04 75000 | 6 0.09 15.13 79948 | 1 0.01 15.14 80000 | 5 0.07 15.22 90000 | 5 0.07 15.29 92900 | 1 0.01 15.31 100000 | 11 0.16 15.47 104000 | 1 0.01 15.48 110000 | 3 0.04 15.53 120000 | 2 0.03 15.56 145000 | 1 0.01 15.57 150000 | 5 0.07 15.65 160000 | 1 0.01 15.66 515460 | 24 0.35 16.02 . | 5,679 83.98 100.00 ------------+----------------------------------- Total | 6,762 100.00 by Jean Roth , jroth@nber.org , 17 Mar 2016