Frequencies for first 10,000 rows of vita variable in zipcode2016 dataset : Number of | volunteer | income tax | assistance | (VITA) | prepared | returns [3] | Freq. Percent Cum. ------------+----------------------------------- 0 | 9,035 90.35 90.35 20 | 106 1.06 91.41 30 | 171 1.71 93.12 40 | 99 0.99 94.11 50 | 79 0.79 94.90 60 | 48 0.48 95.38 70 | 33 0.33 95.71 80 | 38 0.38 96.09 90 | 28 0.28 96.37 100 | 15 0.15 96.52 110 | 18 0.18 96.70 120 | 12 0.12 96.82 130 | 13 0.13 96.95 140 | 11 0.11 97.06 150 | 7 0.07 97.13 160 | 9 0.09 97.22 170 | 9 0.09 97.31 180 | 6 0.06 97.37 190 | 15 0.15 97.52 200 | 6 0.06 97.58 210 | 8 0.08 97.66 220 | 3 0.03 97.69 230 | 3 0.03 97.72 240 | 6 0.06 97.78 250 | 6 0.06 97.84 260 | 3 0.03 97.87 270 | 5 0.05 97.92 280 | 3 0.03 97.95 290 | 5 0.05 98.00 300 | 4 0.04 98.04 310 | 3 0.03 98.07 320 | 2 0.02 98.09 330 | 2 0.02 98.11 340 | 4 0.04 98.15 350 | 3 0.03 98.18 360 | 3 0.03 98.21 370 | 1 0.01 98.22 380 | 4 0.04 98.26 390 | 1 0.01 98.27 400 | 4 0.04 98.31 410 | 4 0.04 98.35 420 | 2 0.02 98.37 430 | 2 0.02 98.39 440 | 2 0.02 98.41 470 | 3 0.03 98.44 480 | 3 0.03 98.47 490 | 3 0.03 98.50 500 | 2 0.02 98.52 510 | 1 0.01 98.53 550 | 1 0.01 98.54 600 | 1 0.01 98.55 610 | 1 0.01 98.56 640 | 1 0.01 98.57 650 | 4 0.04 98.61 660 | 1 0.01 98.62 670 | 1 0.01 98.63 690 | 1 0.01 98.64 720 | 1 0.01 98.65 740 | 2 0.02 98.67 780 | 2 0.02 98.69 840 | 1 0.01 98.70 870 | 2 0.02 98.72 880 | 2 0.02 98.74 890 | 2 0.02 98.76 910 | 1 0.01 98.77 980 | 1 0.01 98.78 1000 | 1 0.01 98.79 1050 | 1 0.01 98.80 1060 | 1 0.01 98.81 1070 | 1 0.01 98.82 1090 | 1 0.01 98.83 1160 | 1 0.01 98.84 1190 | 1 0.01 98.85 1240 | 1 0.01 98.86 1260 | 1 0.01 98.87 1270 | 1 0.01 98.88 1320 | 1 0.01 98.89 1340 | 1 0.01 98.90 1370 | 1 0.01 98.91 1430 | 2 0.02 98.93 1470 | 1 0.01 98.94 1500 | 1 0.01 98.95 1660 | 1 0.01 98.96 1680 | 1 0.01 98.97 1770 | 1 0.01 98.98 1820 | 1 0.01 98.99 1870 | 1 0.01 99.00 1920 | 1 0.01 99.01 1960 | 1 0.01 99.02 2010 | 1 0.01 99.03 2110 | 1 0.01 99.04 2140 | 1 0.01 99.05 2180 | 1 0.01 99.06 2230 | 2 0.02 99.08 2250 | 1 0.01 99.09 2270 | 1 0.01 99.10 2280 | 2 0.02 99.12 2710 | 1 0.01 99.13 2810 | 1 0.01 99.14 2930 | 1 0.01 99.15 2980 | 2 0.02 99.17 3090 | 1 0.01 99.18 3240 | 1 0.01 99.19 3270 | 1 0.01 99.20 3330 | 1 0.01 99.21 3530 | 2 0.02 99.23 4220 | 1 0.01 99.24 4390 | 1 0.01 99.25 4560 | 1 0.01 99.26 4600 | 1 0.01 99.27 4690 | 1 0.01 99.28 4760 | 1 0.01 99.29 5080 | 1 0.01 99.30 5190 | 1 0.01 99.31 5250 | 1 0.01 99.32 5300 | 1 0.01 99.33 5620 | 1 0.01 99.34 5720 | 1 0.01 99.35 6270 | 1 0.01 99.36 6470 | 1 0.01 99.37 6900 | 1 0.01 99.38 6950 | 1 0.01 99.39 7060 | 1 0.01 99.40 7100 | 1 0.01 99.41 7200 | 1 0.01 99.42 7250 | 1 0.01 99.43 7310 | 1 0.01 99.44 7350 | 1 0.01 99.45 7670 | 1 0.01 99.46 7840 | 1 0.01 99.47 7910 | 1 0.01 99.48 8450 | 1 0.01 99.49 8630 | 1 0.01 99.50 8680 | 1 0.01 99.51 9070 | 1 0.01 99.52 9300 | 1 0.01 99.53 9490 | 1 0.01 99.54 9530 | 1 0.01 99.55 9810 | 1 0.01 99.56 10080 | 1 0.01 99.57 10190 | 1 0.01 99.58 10420 | 1 0.01 99.59 10520 | 1 0.01 99.60 11210 | 1 0.01 99.61 11630 | 1 0.01 99.62 11750 | 1 0.01 99.63 11860 | 1 0.01 99.64 12050 | 1 0.01 99.65 12200 | 1 0.01 99.66 12640 | 1 0.01 99.67 14780 | 1 0.01 99.68 15170 | 1 0.01 99.69 15210 | 1 0.01 99.70 15730 | 1 0.01 99.71 16280 | 1 0.01 99.72 16610 | 1 0.01 99.73 16940 | 1 0.01 99.74 17130 | 1 0.01 99.75 17600 | 1 0.01 99.76 17700 | 1 0.01 99.77 18170 | 1 0.01 99.78 18210 | 1 0.01 99.79 19450 | 1 0.01 99.80 19480 | 1 0.01 99.81 20140 | 1 0.01 99.82 20240 | 1 0.01 99.83 22140 | 1 0.01 99.84 22590 | 1 0.01 99.85 23350 | 1 0.01 99.86 25110 | 1 0.01 99.87 30910 | 1 0.01 99.88 32720 | 1 0.01 99.89 35690 | 1 0.01 99.90 38990 | 1 0.01 99.91 50790 | 1 0.01 99.92 51480 | 1 0.01 99.93 52490 | 1 0.01 99.94 53930 | 1 0.01 99.95 57440 | 1 0.01 99.96 73900 | 1 0.01 99.97 89440 | 1 0.01 99.98 100530 | 1 0.01 99.99 106990 | 1 0.01 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 21 Sep 2018