Frequencies for cartkupq variable in fmli132 dataset : cartkupq | Freq. Percent Cum. ------------+----------------------------------- 0 | 6,571 97.18 97.18 100 | 1 0.01 97.19 150 | 1 0.01 97.20 300 | 1 0.01 97.22 320 | 1 0.01 97.23 400 | 1 0.01 97.25 450 | 1 0.01 97.26 500 | 2 0.03 97.29 530 | 1 0.01 97.31 600 | 1 0.01 97.32 630 | 1 0.01 97.34 641 | 1 0.01 97.35 750 | 1 0.01 97.37 840 | 1 0.01 97.38 1000 | 4 0.06 97.44 1070 | 3 0.04 97.49 1080 | 1 0.01 97.50 1100 | 1 0.01 97.52 1200 | 2 0.03 97.55 1304 | 2 0.03 97.57 1314 | 1 0.01 97.59 1350 | 1 0.01 97.60 1500 | 3 0.04 97.65 1700 | 1 0.01 97.66 1751 | 1 0.01 97.68 1800 | 1 0.01 97.69 1845 | 1 0.01 97.71 1900 | 1 0.01 97.72 1950 | 1 0.01 97.74 1980 | 1 0.01 97.75 2000 | 1 0.01 97.77 2250 | 1 0.01 97.78 2300 | 2 0.03 97.81 2332 | 1 0.01 97.83 2400 | 1 0.01 97.84 2500 | 2 0.03 97.87 2600 | 1 0.01 97.89 2604 | 1 0.01 97.90 2643 | 1 0.01 97.91 2650 | 1 0.01 97.93 2684 | 1 0.01 97.94 2800 | 1 0.01 97.96 2815 | 1 0.01 97.97 2889 | 1 0.01 97.99 2968 | 1 0.01 98.00 3000 | 7 0.10 98.11 3180 | 1 0.01 98.12 3200 | 1 0.01 98.14 3210 | 1 0.01 98.15 3240 | 1 0.01 98.17 3500 | 4 0.06 98.23 3789 | 1 0.01 98.24 3841 | 1 0.01 98.25 4000 | 6 0.09 98.34 4120 | 1 0.01 98.36 4200 | 1 0.01 98.37 4452 | 1 0.01 98.39 4700 | 2 0.03 98.42 4863 | 1 0.01 98.43 4871 | 1 0.01 98.45 5000 | 1 0.01 98.46 5286 | 1 0.01 98.48 5350 | 2 0.03 98.51 5425 | 1 0.01 98.52 5600 | 1 0.01 98.54 5670 | 1 0.01 98.55 5778 | 1 0.01 98.57 5805 | 1 0.01 98.58 6000 | 1 0.01 98.60 6148 | 1 0.01 98.61 7000 | 4 0.06 98.67 7350 | 1 0.01 98.68 7560 | 1 0.01 98.70 7581 | 1 0.01 98.71 7875 | 1 0.01 98.73 8000 | 2 0.03 98.76 8500 | 1 0.01 98.77 8905 | 1 0.01 98.79 9000 | 4 0.06 98.85 9500 | 3 0.04 98.89 10000 | 8 0.12 99.01 10260 | 1 0.01 99.02 10400 | 1 0.01 99.04 10500 | 3 0.04 99.08 10700 | 1 0.01 99.10 10725 | 1 0.01 99.11 10800 | 1 0.01 99.13 10865 | 1 0.01 99.14 10950 | 1 0.01 99.16 11000 | 1 0.01 99.17 11300 | 1 0.01 99.19 11600 | 1 0.01 99.20 11630 | 1 0.01 99.22 11660 | 1 0.01 99.23 12000 | 4 0.06 99.29 12600 | 1 0.01 99.30 13000 | 2 0.03 99.33 13964 | 1 0.01 99.35 14000 | 3 0.04 99.39 15000 | 1 0.01 99.41 15500 | 1 0.01 99.42 16075 | 1 0.01 99.44 16238 | 1 0.01 99.45 16500 | 1 0.01 99.47 17000 | 2 0.03 99.50 17120 | 1 0.01 99.51 17780 | 1 0.01 99.53 17800 | 1 0.01 99.54 18000 | 4 0.06 99.60 18445 | 1 0.01 99.62 19000 | 2 0.03 99.65 19800 | 1 0.01 99.66 20000 | 1 0.01 99.67 20644 | 1 0.01 99.69 20766 | 1 0.01 99.70 21000 | 1 0.01 99.72 21500 | 1 0.01 99.73 21700 | 1 0.01 99.75 22000 | 1 0.01 99.76 22500 | 1 0.01 99.78 23000 | 1 0.01 99.79 23900 | 1 0.01 99.81 24000 | 2 0.03 99.84 25000 | 1 0.01 99.85 27000 | 2 0.03 99.88 27820 | 1 0.01 99.90 28000 | 4 0.06 99.96 33000 | 1 0.01 99.97 34000 | 1 0.01 99.99 37699 | 1 0.01 100.00 ------------+----------------------------------- Total | 6,762 100.00 by Jean Roth , jroth@nber.org , 17 Mar 2016