Frequencies for nmprior dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for state variable in nmprior dataset : State | Number | Freq. Percent Cum. ------------+----------------------------------- 43 | 143 100.00 100.00 ------------+----------------------------------- Total | 143 100.00 Frequencies for st_case variable in nmprior dataset : Consecutive | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 2 1.40 1.40 430002 | 1 0.70 2.10 430003 | 1 0.70 2.80 430007 | 1 0.70 3.50 430010 | 1 0.70 4.20 430011 | 1 0.70 4.90 430013 | 1 0.70 5.59 430014 | 1 0.70 6.29 430021 | 1 0.70 6.99 430027 | 1 0.70 7.69 430028 | 1 0.70 8.39 430030 | 1 0.70 9.09 430033 | 1 0.70 9.79 430040 | 1 0.70 10.49 430041 | 1 0.70 11.19 430048 | 1 0.70 11.89 430050 | 1 0.70 12.59 430058 | 2 1.40 13.99 430059 | 1 0.70 14.69 430060 | 1 0.70 15.38 430066 | 1 0.70 16.08 430067 | 1 0.70 16.78 430068 | 1 0.70 17.48 430071 | 1 0.70 18.18 430072 | 1 0.70 18.88 430073 | 1 0.70 19.58 430075 | 1 0.70 20.28 430076 | 1 0.70 20.98 430077 | 1 0.70 21.68 430079 | 1 0.70 22.38 430083 | 1 0.70 23.08 430092 | 1 0.70 23.78 430094 | 1 0.70 24.48 430095 | 1 0.70 25.17 430096 | 1 0.70 25.87 430101 | 1 0.70 26.57 430104 | 1 0.70 27.27 430106 | 1 0.70 27.97 430109 | 1 0.70 28.67 430121 | 1 0.70 29.37 430123 | 1 0.70 30.07 430124 | 1 0.70 30.77 430125 | 1 0.70 31.47 430126 | 1 0.70 32.17 430127 | 1 0.70 32.87 430131 | 1 0.70 33.57 430132 | 1 0.70 34.27 430134 | 2 1.40 35.66 430136 | 1 0.70 36.36 430137 | 1 0.70 37.06 430139 | 1 0.70 37.76 430140 | 1 0.70 38.46 430142 | 1 0.70 39.16 430144 | 1 0.70 39.86 430145 | 1 0.70 40.56 430159 | 1 0.70 41.26 430160 | 1 0.70 41.96 430165 | 1 0.70 42.66 430166 | 1 0.70 43.36 430169 | 1 0.70 44.06 430173 | 1 0.70 44.76 430175 | 1 0.70 45.45 430176 | 1 0.70 46.15 430185 | 2 1.40 47.55 430190 | 1 0.70 48.25 430192 | 1 0.70 48.95 430198 | 1 0.70 49.65 430199 | 10 6.99 56.64 430201 | 1 0.70 57.34 430205 | 1 0.70 58.04 430208 | 2 1.40 59.44 430209 | 1 0.70 60.14 430212 | 1 0.70 60.84 430215 | 1 0.70 61.54 430216 | 2 1.40 62.94 430221 | 1 0.70 63.64 430224 | 1 0.70 64.34 430228 | 1 0.70 65.03 430230 | 2 1.40 66.43 430232 | 1 0.70 67.13 430237 | 1 0.70 67.83 430239 | 1 0.70 68.53 430241 | 1 0.70 69.23 430242 | 1 0.70 69.93 430243 | 1 0.70 70.63 430247 | 1 0.70 71.33 430249 | 1 0.70 72.03 430252 | 1 0.70 72.73 430254 | 1 0.70 73.43 430256 | 1 0.70 74.13 430257 | 1 0.70 74.83 430260 | 1 0.70 75.52 430263 | 1 0.70 76.22 430268 | 1 0.70 76.92 430270 | 2 1.40 78.32 430271 | 1 0.70 79.02 430272 | 2 1.40 80.42 430273 | 2 1.40 81.82 430276 | 1 0.70 82.52 430279 | 1 0.70 83.22 430280 | 1 0.70 83.92 430282 | 2 1.40 85.31 430283 | 1 0.70 86.01 430284 | 2 1.40 87.41 430286 | 1 0.70 88.11 430287 | 1 0.70 88.81 430290 | 1 0.70 89.51 430292 | 1 0.70 90.21 430293 | 1 0.70 90.91 430297 | 1 0.70 91.61 430300 | 1 0.70 92.31 430307 | 1 0.70 93.01 430309 | 1 0.70 93.71 430310 | 1 0.70 94.41 430311 | 1 0.70 95.10 430313 | 2 1.40 96.50 430314 | 1 0.70 97.20 430317 | 1 0.70 97.90 430326 | 1 0.70 98.60 430331 | 1 0.70 99.30 430333 | 1 0.70 100.00 ------------+----------------------------------- Total | 143 100.00 Frequencies for veh_no variable in nmprior dataset : Vehicle | Number | Freq. Percent Cum. ------------+----------------------------------- 0 | 143 100.00 100.00 ------------+----------------------------------- Total | 143 100.00 Frequencies for per_no variable in nmprior dataset : Person | Number | Freq. Percent Cum. ------------+----------------------------------- 1 | 130 90.91 90.91 2 | 7 4.90 95.80 3 | 2 1.40 97.20 4 | 2 1.40 98.60 5 | 2 1.40 100.00 ------------+----------------------------------- Total | 143 100.00 Frequencies for mpr_act variable in nmprior dataset : Non | Motorist | Action/Circ | umstances | Prior to | Crash | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.70 0.70 2 | 19 13.29 13.99 3 | 68 47.55 61.54 5 | 7 4.90 66.43 7 | 5 3.50 69.93 8 | 22 15.38 85.31 9 | 18 12.59 97.90 12 | 3 2.10 100.00 ------------+----------------------------------- Total | 143 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016