Frequencies for bbydaycq variable in fmli132 dataset : bbydaycq | Freq. Percent Cum. ------------+----------------------------------- 0 | 6,478 95.80 95.80 12 | 1 0.01 95.81 15 | 2 0.03 95.84 20 | 2 0.03 95.87 30 | 2 0.03 95.90 33 | 1 0.01 95.92 36 | 1 0.01 95.93 40 | 4 0.06 95.99 50 | 2 0.03 96.02 55 | 1 0.01 96.04 60 | 5 0.07 96.11 65 | 1 0.01 96.13 75 | 3 0.04 96.17 80 | 6 0.09 96.26 85 | 2 0.03 96.29 90 | 3 0.04 96.33 92 | 1 0.01 96.35 100 | 6 0.09 96.44 117 | 1 0.01 96.45 120 | 1 0.01 96.47 125 | 3 0.04 96.51 136 | 1 0.01 96.52 140 | 3 0.04 96.57 144 | 1 0.01 96.58 150 | 2 0.03 96.61 157 | 1 0.01 96.63 160 | 5 0.07 96.70 168 | 1 0.01 96.72 180 | 3 0.04 96.76 200 | 10 0.15 96.91 204 | 1 0.01 96.92 219 | 1 0.01 96.94 220 | 2 0.03 96.97 240 | 4 0.06 97.03 248 | 1 0.01 97.04 250 | 2 0.03 97.07 255 | 1 0.01 97.09 260 | 1 0.01 97.10 265 | 1 0.01 97.12 270 | 2 0.03 97.15 280 | 2 0.03 97.18 290 | 1 0.01 97.19 293 | 1 0.01 97.20 294 | 1 0.01 97.22 300 | 11 0.16 97.38 320 | 4 0.06 97.44 347 | 1 0.01 97.46 350 | 2 0.03 97.49 352 | 1 0.01 97.50 360 | 3 0.04 97.55 370 | 1 0.01 97.56 380 | 2 0.03 97.59 400 | 12 0.18 97.77 406 | 1 0.01 97.78 420 | 1 0.01 97.80 425 | 1 0.01 97.81 432 | 1 0.01 97.83 440 | 3 0.04 97.87 450 | 1 0.01 97.89 460 | 1 0.01 97.90 480 | 8 0.12 98.02 500 | 3 0.04 98.06 510 | 1 0.01 98.08 520 | 4 0.06 98.14 530 | 1 0.01 98.15 536 | 1 0.01 98.17 540 | 1 0.01 98.18 550 | 1 0.01 98.20 560 | 1 0.01 98.21 587 | 1 0.01 98.23 600 | 9 0.13 98.36 630 | 1 0.01 98.37 640 | 3 0.04 98.42 646 | 1 0.01 98.43 660 | 1 0.01 98.45 675 | 1 0.01 98.46 700 | 3 0.04 98.51 705 | 1 0.01 98.52 720 | 1 0.01 98.54 740 | 1 0.01 98.55 760 | 1 0.01 98.57 775 | 1 0.01 98.58 800 | 16 0.24 98.82 840 | 1 0.01 98.83 850 | 1 0.01 98.85 855 | 1 0.01 98.86 880 | 3 0.04 98.91 891 | 1 0.01 98.92 900 | 1 0.01 98.94 902 | 1 0.01 98.95 905 | 1 0.01 98.96 910 | 1 0.01 98.98 950 | 1 0.01 98.99 960 | 2 0.03 99.02 1000 | 8 0.12 99.14 1022 | 1 0.01 99.16 1040 | 3 0.04 99.20 1050 | 1 0.01 99.22 1075 | 1 0.01 99.23 1100 | 3 0.04 99.28 1120 | 1 0.01 99.29 1140 | 1 0.01 99.30 1196 | 1 0.01 99.32 1200 | 4 0.06 99.38 1226 | 1 0.01 99.39 1280 | 1 0.01 99.41 1300 | 1 0.01 99.42 1360 | 1 0.01 99.44 1400 | 1 0.01 99.45 1440 | 1 0.01 99.47 1536 | 1 0.01 99.48 1600 | 3 0.04 99.53 1640 | 1 0.01 99.54 1686 | 1 0.01 99.56 1700 | 2 0.03 99.59 1706 | 1 0.01 99.60 1723 | 1 0.01 99.62 1774 | 1 0.01 99.63 1800 | 1 0.01 99.65 1836 | 1 0.01 99.66 1920 | 1 0.01 99.67 2000 | 3 0.04 99.72 2100 | 1 0.01 99.73 2200 | 1 0.01 99.75 2212 | 1 0.01 99.76 2240 | 1 0.01 99.78 2400 | 1 0.01 99.79 2600 | 1 0.01 99.81 2852 | 1 0.01 99.82 3000 | 3 0.04 99.87 3246 | 1 0.01 99.88 3500 | 1 0.01 99.90 3800 | 1 0.01 99.91 4000 | 1 0.01 99.93 4080 | 1 0.01 99.94 5500 | 1 0.01 99.96 7000 | 1 0.01 99.97 7600 | 1 0.01 99.99 17400 | 1 0.01 100.00 ------------+----------------------------------- Total | 6,762 100.00 by Jean Roth , jroth@nber.org , 17 Mar 2016