Frequencies for first 10,000 rows of total_vita variable in zipcode2015 dataset : Total | number of | volunteer | prepared | returns [3] | Freq. Percent Cum. ------------+----------------------------------- 0 | 7,924 79.24 79.24 20 | 274 2.74 81.98 30 | 369 3.69 85.67 40 | 206 2.06 87.73 50 | 137 1.37 89.10 60 | 118 1.18 90.28 70 | 93 0.93 91.21 80 | 70 0.70 91.91 90 | 74 0.74 92.65 100 | 49 0.49 93.14 110 | 44 0.44 93.58 120 | 37 0.37 93.95 130 | 33 0.33 94.28 140 | 31 0.31 94.59 150 | 26 0.26 94.85 160 | 30 0.30 95.15 170 | 20 0.20 95.35 180 | 21 0.21 95.56 190 | 17 0.17 95.73 200 | 20 0.20 95.93 210 | 17 0.17 96.10 220 | 12 0.12 96.22 230 | 13 0.13 96.35 240 | 9 0.09 96.44 250 | 16 0.16 96.60 260 | 9 0.09 96.69 270 | 11 0.11 96.80 280 | 13 0.13 96.93 290 | 11 0.11 97.04 300 | 6 0.06 97.10 310 | 6 0.06 97.16 320 | 7 0.07 97.23 330 | 8 0.08 97.31 340 | 4 0.04 97.35 350 | 10 0.10 97.45 360 | 8 0.08 97.53 370 | 4 0.04 97.57 380 | 4 0.04 97.61 390 | 5 0.05 97.66 400 | 1 0.01 97.67 410 | 4 0.04 97.71 420 | 2 0.02 97.73 430 | 1 0.01 97.74 440 | 3 0.03 97.77 450 | 4 0.04 97.81 460 | 1 0.01 97.82 470 | 2 0.02 97.84 480 | 1 0.01 97.85 490 | 1 0.01 97.86 500 | 2 0.02 97.88 510 | 1 0.01 97.89 520 | 2 0.02 97.91 540 | 3 0.03 97.94 550 | 1 0.01 97.95 560 | 3 0.03 97.98 570 | 3 0.03 98.01 590 | 2 0.02 98.03 600 | 2 0.02 98.05 610 | 2 0.02 98.07 620 | 1 0.01 98.08 630 | 3 0.03 98.11 640 | 2 0.02 98.13 660 | 1 0.01 98.14 680 | 1 0.01 98.15 690 | 1 0.01 98.16 700 | 1 0.01 98.17 710 | 1 0.01 98.18 740 | 2 0.02 98.20 750 | 1 0.01 98.21 760 | 3 0.03 98.24 790 | 1 0.01 98.25 810 | 1 0.01 98.26 830 | 3 0.03 98.29 870 | 2 0.02 98.31 930 | 2 0.02 98.33 940 | 1 0.01 98.34 950 | 1 0.01 98.35 970 | 1 0.01 98.36 1000 | 1 0.01 98.37 1010 | 1 0.01 98.38 1030 | 1 0.01 98.39 1110 | 1 0.01 98.40 1120 | 1 0.01 98.41 1160 | 1 0.01 98.42 1190 | 1 0.01 98.43 1220 | 1 0.01 98.44 1250 | 1 0.01 98.45 1420 | 1 0.01 98.46 1440 | 1 0.01 98.47 1450 | 1 0.01 98.48 1490 | 1 0.01 98.49 1510 | 1 0.01 98.50 1540 | 1 0.01 98.51 1560 | 2 0.02 98.53 1600 | 1 0.01 98.54 1630 | 2 0.02 98.56 1650 | 1 0.01 98.57 1670 | 1 0.01 98.58 1680 | 2 0.02 98.60 1690 | 1 0.01 98.61 1830 | 1 0.01 98.62 1840 | 1 0.01 98.63 1880 | 1 0.01 98.64 2150 | 1 0.01 98.65 2220 | 1 0.01 98.66 2280 | 1 0.01 98.67 2330 | 1 0.01 98.68 2410 | 2 0.02 98.70 2450 | 1 0.01 98.71 2700 | 2 0.02 98.73 2770 | 2 0.02 98.75 2780 | 1 0.01 98.76 2850 | 1 0.01 98.77 2970 | 1 0.01 98.78 3170 | 1 0.01 98.79 3250 | 1 0.01 98.80 3370 | 1 0.01 98.81 3460 | 1 0.01 98.82 3490 | 1 0.01 98.83 3500 | 1 0.01 98.84 3510 | 1 0.01 98.85 3910 | 1 0.01 98.86 4040 | 1 0.01 98.87 4120 | 1 0.01 98.88 4150 | 1 0.01 98.89 4370 | 1 0.01 98.90 4480 | 1 0.01 98.91 4640 | 1 0.01 98.92 4730 | 1 0.01 98.93 5010 | 1 0.01 98.94 5040 | 1 0.01 98.95 5140 | 1 0.01 98.96 5150 | 1 0.01 98.97 5160 | 1 0.01 98.98 5250 | 1 0.01 98.99 5260 | 1 0.01 99.00 5360 | 2 0.02 99.02 5490 | 1 0.01 99.03 5660 | 1 0.01 99.04 5760 | 1 0.01 99.05 6150 | 2 0.02 99.07 6330 | 1 0.01 99.08 6470 | 1 0.01 99.09 6520 | 1 0.01 99.10 6770 | 1 0.01 99.11 6990 | 1 0.01 99.12 7160 | 1 0.01 99.13 7330 | 1 0.01 99.14 8010 | 1 0.01 99.15 8310 | 1 0.01 99.16 8580 | 1 0.01 99.17 9170 | 1 0.01 99.18 9180 | 1 0.01 99.19 9880 | 1 0.01 99.20 10270 | 1 0.01 99.21 10310 | 1 0.01 99.22 10590 | 1 0.01 99.23 10650 | 1 0.01 99.24 11010 | 1 0.01 99.25 11170 | 1 0.01 99.26 11210 | 2 0.02 99.28 11450 | 1 0.01 99.29 11870 | 1 0.01 99.30 11900 | 1 0.01 99.31 12040 | 1 0.01 99.32 12160 | 1 0.01 99.33 12430 | 1 0.01 99.34 12450 | 1 0.01 99.35 12670 | 1 0.01 99.36 12930 | 1 0.01 99.37 13430 | 1 0.01 99.38 14030 | 1 0.01 99.39 14820 | 1 0.01 99.40 14970 | 1 0.01 99.41 15420 | 1 0.01 99.42 15460 | 1 0.01 99.43 15940 | 1 0.01 99.44 16580 | 1 0.01 99.45 16870 | 1 0.01 99.46 17080 | 1 0.01 99.47 17150 | 1 0.01 99.48 17350 | 1 0.01 99.49 17410 | 1 0.01 99.50 17590 | 1 0.01 99.51 17650 | 1 0.01 99.52 18330 | 1 0.01 99.53 18480 | 1 0.01 99.54 19210 | 1 0.01 99.55 19490 | 1 0.01 99.56 19760 | 1 0.01 99.57 21000 | 1 0.01 99.58 24180 | 1 0.01 99.59 24210 | 1 0.01 99.60 24350 | 1 0.01 99.61 24850 | 1 0.01 99.62 25490 | 1 0.01 99.63 25660 | 1 0.01 99.64 26020 | 1 0.01 99.65 26780 | 1 0.01 99.66 27480 | 1 0.01 99.67 27570 | 1 0.01 99.68 31000 | 1 0.01 99.69 31370 | 1 0.01 99.70 31760 | 1 0.01 99.71 33070 | 1 0.01 99.72 33570 | 1 0.01 99.73 33980 | 2 0.02 99.75 36970 | 1 0.01 99.76 41850 | 1 0.01 99.77 43320 | 1 0.01 99.78 44360 | 1 0.01 99.79 44730 | 1 0.01 99.80 46860 | 1 0.01 99.81 47830 | 1 0.01 99.82 51170 | 1 0.01 99.83 53960 | 1 0.01 99.84 55870 | 1 0.01 99.85 60400 | 1 0.01 99.86 61820 | 1 0.01 99.87 63500 | 1 0.01 99.88 69640 | 1 0.01 99.89 74180 | 1 0.01 99.90 74200 | 1 0.01 99.91 79650 | 1 0.01 99.92 80830 | 1 0.01 99.93 85580 | 1 0.01 99.94 107460 | 1 0.01 99.95 111290 | 1 0.01 99.96 128120 | 1 0.01 99.97 155710 | 1 0.01 99.98 172800 | 1 0.01 99.99 197660 | 1 0.01 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 20 Dec 2017