Frequencies for fsmpfrmx variable in fmli132 dataset : fsmpfrmx | Freq. Percent Cum. ------------+----------------------------------- -400000 | 1 0.01 0.01 -380000 | 1 0.01 0.03 -140000 | 1 0.01 0.04 -60000 | 1 0.01 0.06 -38000 | 1 0.01 0.07 -35000 | 1 0.01 0.09 -30000 | 1 0.01 0.10 -28000 | 1 0.01 0.12 -25000 | 1 0.01 0.13 -20000 | 3 0.04 0.18 -16000 | 1 0.01 0.19 -15000 | 2 0.03 0.22 -12000 | 2 0.03 0.25 -10000 | 4 0.06 0.31 -6100 | 1 0.01 0.33 -5800 | 1 0.01 0.34 -5500 | 1 0.01 0.35 -4500 | 1 0.01 0.37 -3500 | 1 0.01 0.38 -3000 | 1 0.01 0.40 -2000 | 4 0.06 0.46 -1500 | 1 0.01 0.47 -1200 | 2 0.03 0.50 -1000 | 3 0.04 0.55 -550 | 1 0.01 0.56 -245 | 1 0.01 0.58 -200 | 2 0.03 0.61 -60 | 1 0.01 0.62 -9 | 1 0.01 0.64 0 | 6,317 93.42 94.06 1 | 13 0.19 94.25 35 | 1 0.01 94.26 50 | 2 0.03 94.29 80 | 1 0.01 94.31 87 | 1 0.01 94.32 100 | 2 0.03 94.35 150 | 1 0.01 94.37 180 | 1 0.01 94.38 200 | 2 0.03 94.41 250 | 1 0.01 94.42 300 | 2 0.03 94.45 335 | 1 0.01 94.47 400 | 4 0.06 94.53 475 | 1 0.01 94.54 500 | 3 0.04 94.59 600 | 2 0.03 94.62 640 | 1 0.01 94.63 700 | 2 0.03 94.66 800 | 2 0.03 94.69 900 | 2 0.03 94.72 999 | 1 0.01 94.74 1000 | 9 0.13 94.87 1180 | 1 0.01 94.88 1200 | 2 0.03 94.91 1208 | 1 0.01 94.93 1400 | 7 0.10 95.03 1499 | 1 0.01 95.05 1500 | 6 0.09 95.13 1564 | 1 0.01 95.15 1590 | 1 0.01 95.16 1600 | 1 0.01 95.18 1700 | 1 0.01 95.19 2000 | 7 0.10 95.30 2100 | 2 0.03 95.33 2200 | 1 0.01 95.34 2400 | 3 0.04 95.39 2450 | 1 0.01 95.40 2500 | 3 0.04 95.45 2600 | 1 0.01 95.46 3000 | 4 0.06 95.52 3500 | 3 0.04 95.56 4000 | 7 0.10 95.67 4100 | 2 0.03 95.70 4282 | 1 0.01 95.71 4500 | 5 0.07 95.79 4800 | 2 0.03 95.81 5000 | 5 0.07 95.89 5500 | 1 0.01 95.90 5600 | 1 0.01 95.92 6000 | 5 0.07 95.99 6195 | 1 0.01 96.01 6200 | 1 0.01 96.02 6300 | 1 0.01 96.04 6700 | 8 0.12 96.15 7000 | 3 0.04 96.20 7200 | 3 0.04 96.24 7400 | 1 0.01 96.26 7500 | 1 0.01 96.27 7700 | 1 0.01 96.29 8000 | 3 0.04 96.33 9000 | 4 0.06 96.39 9500 | 1 0.01 96.41 10000 | 15 0.22 96.63 10320 | 1 0.01 96.64 10400 | 1 0.01 96.66 10998 | 1 0.01 96.67 11400 | 1 0.01 96.69 12000 | 17 0.25 96.94 13000 | 1 0.01 96.95 13175 | 1 0.01 96.97 13622 | 1 0.01 96.98 14000 | 8 0.12 97.10 14400 | 1 0.01 97.12 15000 | 7 0.10 97.22 16000 | 5 0.07 97.29 16700 | 1 0.01 97.31 16800 | 1 0.01 97.32 17000 | 1 0.01 97.34 17325 | 1 0.01 97.35 18000 | 7 0.10 97.46 19000 | 3 0.04 97.50 19200 | 1 0.01 97.52 20000 | 9 0.13 97.65 20773 | 1 0.01 97.66 20800 | 1 0.01 97.68 21000 | 2 0.03 97.71 22000 | 3 0.04 97.75 23930 | 3 0.04 97.80 24000 | 3 0.04 97.84 24125 | 1 0.01 97.86 24500 | 2 0.03 97.89 25000 | 5 0.07 97.96 25083 | 1 0.01 97.97 27000 | 1 0.01 97.99 28000 | 5 0.07 98.06 29000 | 2 0.03 98.09 29500 | 2 0.03 98.12 29800 | 1 0.01 98.14 30000 | 11 0.16 98.30 30095 | 1 0.01 98.31 31034 | 1 0.01 98.33 32000 | 1 0.01 98.34 35000 | 4 0.06 98.40 36000 | 1 0.01 98.42 37040 | 1 0.01 98.43 37200 | 1 0.01 98.45 38000 | 1 0.01 98.46 40000 | 7 0.10 98.57 41000 | 2 0.03 98.60 41200 | 1 0.01 98.61 41560 | 1 0.01 98.62 42000 | 3 0.04 98.67 43000 | 1 0.01 98.68 44000 | 1 0.01 98.70 45000 | 4 0.06 98.76 47860 | 1 0.01 98.77 48000 | 1 0.01 98.79 50000 | 8 0.12 98.91 50001 | 1 0.01 98.92 52000 | 1 0.01 98.94 55000 | 5 0.07 99.01 59000 | 1 0.01 99.02 60000 | 4 0.06 99.08 67000 | 1 0.01 99.10 69000 | 1 0.01 99.11 69787 | 1 0.01 99.13 70000 | 6 0.09 99.22 75000 | 3 0.04 99.26 77700 | 1 0.01 99.28 80000 | 8 0.12 99.39 84000 | 1 0.01 99.41 88000 | 1 0.01 99.42 88400 | 1 0.01 99.44 90000 | 4 0.06 99.50 91000 | 1 0.01 99.51 100000 | 5 0.07 99.59 101000 | 4 0.06 99.65 117000 | 1 0.01 99.66 120000 | 3 0.04 99.70 130000 | 1 0.01 99.72 140000 | 1 0.01 99.73 150000 | 1 0.01 99.75 160000 | 1 0.01 99.76 160457 | 1 0.01 99.78 161000 | 1 0.01 99.79 173000 | 1 0.01 99.81 180000 | 1 0.01 99.82 187500 | 4 0.06 99.88 200000 | 1 0.01 99.90 228500 | 1 0.01 99.91 250000 | 2 0.03 99.94 300000 | 1 0.01 99.96 430000 | 1 0.01 99.97 600000 | 1 0.01 99.99 700000 | 1 0.01 100.00 ------------+----------------------------------- Total | 6,762 100.00 by Jean Roth , jroth@nber.org , 17 Mar 2016