Frequencies for vehicle dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Frequencies for state variable in vehicle dataset : state | number | Freq. Percent Cum. ------------+----------------------------------- 43 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for st_case variable in vehicle dataset : consecutive | number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.26 0.26 430002 | 1 0.26 0.52 430003 | 2 0.52 1.04 430004 | 1 0.26 1.30 430005 | 2 0.52 1.82 430006 | 1 0.26 2.08 430007 | 1 0.26 2.34 430008 | 1 0.26 2.60 430009 | 1 0.26 2.86 430010 | 2 0.52 3.38 430011 | 2 0.52 3.90 430012 | 1 0.26 4.16 430013 | 3 0.78 4.94 430014 | 1 0.26 5.19 430015 | 2 0.52 5.71 430016 | 2 0.52 6.23 430017 | 1 0.26 6.49 430018 | 2 0.52 7.01 430019 | 1 0.26 7.27 430020 | 1 0.26 7.53 430021 | 1 0.26 7.79 430022 | 1 0.26 8.05 430023 | 1 0.26 8.31 430024 | 1 0.26 8.57 430025 | 1 0.26 8.83 430026 | 1 0.26 9.09 430027 | 1 0.26 9.35 430028 | 1 0.26 9.61 430029 | 1 0.26 9.87 430030 | 1 0.26 10.13 430031 | 3 0.78 10.91 430032 | 1 0.26 11.17 430033 | 2 0.52 11.69 430034 | 1 0.26 11.95 430035 | 2 0.52 12.47 430036 | 1 0.26 12.73 430037 | 2 0.52 13.25 430038 | 2 0.52 13.77 430039 | 1 0.26 14.03 430040 | 1 0.26 14.29 430041 | 1 0.26 14.55 430042 | 2 0.52 15.06 430043 | 1 0.26 15.32 430044 | 1 0.26 15.58 430045 | 1 0.26 15.84 430046 | 1 0.26 16.10 430047 | 3 0.78 16.88 430048 | 1 0.26 17.14 430049 | 1 0.26 17.40 430050 | 1 0.26 17.66 430051 | 1 0.26 17.92 430052 | 1 0.26 18.18 430053 | 3 0.78 18.96 430054 | 1 0.26 19.22 430055 | 3 0.78 20.00 430056 | 1 0.26 20.26 430057 | 3 0.78 21.04 430058 | 3 0.78 21.82 430059 | 1 0.26 22.08 430060 | 1 0.26 22.34 430061 | 1 0.26 22.60 430062 | 1 0.26 22.86 430063 | 3 0.78 23.64 430064 | 1 0.26 23.90 430065 | 3 0.78 24.68 430066 | 1 0.26 24.94 430067 | 1 0.26 25.19 430068 | 2 0.52 25.71 430069 | 2 0.52 26.23 430070 | 1 0.26 26.49 430071 | 1 0.26 26.75 430072 | 2 0.52 27.27 430073 | 1 0.26 27.53 430074 | 2 0.52 28.05 430075 | 1 0.26 28.31 430076 | 2 0.52 28.83 430077 | 1 0.26 29.09 430078 | 1 0.26 29.35 430079 | 1 0.26 29.61 430080 | 1 0.26 29.87 430081 | 1 0.26 30.13 430082 | 2 0.52 30.65 430083 | 2 0.52 31.17 430084 | 1 0.26 31.43 430085 | 1 0.26 31.69 430086 | 1 0.26 31.95 430087 | 1 0.26 32.21 430088 | 1 0.26 32.47 430089 | 1 0.26 32.73 430090 | 1 0.26 32.99 430091 | 1 0.26 33.25 430092 | 2 0.52 33.77 430093 | 1 0.26 34.03 430094 | 1 0.26 34.29 430095 | 1 0.26 34.55 430097 | 1 0.26 34.81 430098 | 1 0.26 35.06 430099 | 1 0.26 35.32 430100 | 1 0.26 35.58 430101 | 3 0.78 36.36 430102 | 1 0.26 36.62 430103 | 1 0.26 36.88 430104 | 1 0.26 37.14 430105 | 2 0.52 37.66 430106 | 1 0.26 37.92 430107 | 1 0.26 38.18 430108 | 3 0.78 38.96 430109 | 2 0.52 39.48 430110 | 1 0.26 39.74 430111 | 2 0.52 40.26 430112 | 1 0.26 40.52 430113 | 1 0.26 40.78 430114 | 1 0.26 41.04 430115 | 1 0.26 41.30 430116 | 1 0.26 41.56 430117 | 1 0.26 41.82 430118 | 1 0.26 42.08 430119 | 1 0.26 42.34 430120 | 1 0.26 42.60 430121 | 1 0.26 42.86 430122 | 1 0.26 43.12 430123 | 1 0.26 43.38 430124 | 1 0.26 43.64 430125 | 1 0.26 43.90 430126 | 1 0.26 44.16 430127 | 1 0.26 44.42 430128 | 1 0.26 44.68 430129 | 3 0.78 45.45 430130 | 2 0.52 45.97 430131 | 1 0.26 46.23 430132 | 1 0.26 46.49 430133 | 1 0.26 46.75 430134 | 3 0.78 47.53 430135 | 1 0.26 47.79 430136 | 1 0.26 48.05 430137 | 1 0.26 48.31 430138 | 4 1.04 49.35 430139 | 1 0.26 49.61 430140 | 1 0.26 49.87 430141 | 1 0.26 50.13 430142 | 1 0.26 50.39 430143 | 2 0.52 50.91 430144 | 1 0.26 51.17 430145 | 1 0.26 51.43 430146 | 1 0.26 51.69 430147 | 1 0.26 51.95 430148 | 1 0.26 52.21 430149 | 2 0.52 52.73 430150 | 2 0.52 53.25 430151 | 1 0.26 53.51 430152 | 1 0.26 53.77 430153 | 1 0.26 54.03 430154 | 1 0.26 54.29 430155 | 2 0.52 54.81 430156 | 1 0.26 55.06 430157 | 2 0.52 55.58 430158 | 1 0.26 55.84 430159 | 1 0.26 56.10 430160 | 1 0.26 56.36 430161 | 1 0.26 56.62 430162 | 3 0.78 57.40 430163 | 2 0.52 57.92 430164 | 1 0.26 58.18 430165 | 1 0.26 58.44 430166 | 2 0.52 58.96 430167 | 2 0.52 59.48 430168 | 2 0.52 60.00 430169 | 1 0.26 60.26 430170 | 1 0.26 60.52 430171 | 1 0.26 60.78 430172 | 1 0.26 61.04 430173 | 2 0.52 61.56 430174 | 1 0.26 61.82 430175 | 1 0.26 62.08 430176 | 1 0.26 62.34 430177 | 1 0.26 62.60 430178 | 1 0.26 62.86 430179 | 1 0.26 63.12 430180 | 1 0.26 63.38 430181 | 3 0.78 64.16 430182 | 1 0.26 64.42 430183 | 1 0.26 64.68 430184 | 1 0.26 64.94 430185 | 2 0.52 65.45 430186 | 2 0.52 65.97 430187 | 2 0.52 66.49 430188 | 1 0.26 66.75 430189 | 1 0.26 67.01 430190 | 1 0.26 67.27 430191 | 1 0.26 67.53 430192 | 1 0.26 67.79 430193 | 2 0.52 68.31 430194 | 1 0.26 68.57 430195 | 2 0.52 69.09 430196 | 1 0.26 69.35 430197 | 3 0.78 70.13 430198 | 1 0.26 70.39 430199 | 1 0.26 70.65 430200 | 2 0.52 71.17 430201 | 1 0.26 71.43 430202 | 2 0.52 71.95 430203 | 1 0.26 72.21 430204 | 1 0.26 72.47 430205 | 1 0.26 72.73 430206 | 1 0.26 72.99 430207 | 1 0.26 73.25 430208 | 2 0.52 73.77 430209 | 2 0.52 74.29 430210 | 1 0.26 74.55 430211 | 1 0.26 74.81 430212 | 1 0.26 75.06 430213 | 1 0.26 75.32 430214 | 1 0.26 75.58 430215 | 2 0.52 76.10 430216 | 1 0.26 76.36 430217 | 1 0.26 76.62 430218 | 1 0.26 76.88 430219 | 1 0.26 77.14 430220 | 1 0.26 77.40 430221 | 1 0.26 77.66 430222 | 1 0.26 77.92 430223 | 2 0.52 78.44 430224 | 1 0.26 78.70 430225 | 2 0.52 79.22 430226 | 1 0.26 79.48 430227 | 1 0.26 79.74 430228 | 2 0.52 80.26 430229 | 2 0.52 80.78 430230 | 2 0.52 81.30 430231 | 1 0.26 81.56 430232 | 1 0.26 81.82 430233 | 1 0.26 82.08 430234 | 1 0.26 82.34 430235 | 1 0.26 82.60 430236 | 1 0.26 82.86 430237 | 1 0.26 83.12 430238 | 1 0.26 83.38 430239 | 2 0.52 83.90 430240 | 1 0.26 84.16 430241 | 1 0.26 84.42 430242 | 4 1.04 85.45 430243 | 1 0.26 85.71 430244 | 1 0.26 85.97 430245 | 2 0.52 86.49 430246 | 1 0.26 86.75 430247 | 1 0.26 87.01 430248 | 2 0.52 87.53 430249 | 1 0.26 87.79 430250 | 1 0.26 88.05 430251 | 1 0.26 88.31 430252 | 1 0.26 88.57 430253 | 2 0.52 89.09 430254 | 1 0.26 89.35 430255 | 1 0.26 89.61 430256 | 1 0.26 89.87 430257 | 1 0.26 90.13 430258 | 1 0.26 90.39 430259 | 1 0.26 90.65 430260 | 2 0.52 91.17 430261 | 1 0.26 91.43 430262 | 1 0.26 91.69 430263 | 1 0.26 91.95 430264 | 1 0.26 92.21 430265 | 1 0.26 92.47 430266 | 1 0.26 92.73 430267 | 1 0.26 92.99 430268 | 1 0.26 93.25 430269 | 1 0.26 93.51 430270 | 1 0.26 93.77 430271 | 1 0.26 94.03 430272 | 1 0.26 94.29 430273 | 1 0.26 94.55 430274 | 1 0.26 94.81 430275 | 3 0.78 95.58 430276 | 1 0.26 95.84 430277 | 1 0.26 96.10 430278 | 1 0.26 96.36 430279 | 1 0.26 96.62 430280 | 1 0.26 96.88 430281 | 2 0.52 97.40 430282 | 2 0.52 97.92 430283 | 2 0.52 98.44 430284 | 1 0.26 98.70 430285 | 2 0.52 99.22 430286 | 1 0.26 99.48 430287 | 1 0.26 99.74 430288 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for veh_no variable in vehicle dataset : vehicle | number | Freq. Percent Cum. ------------+----------------------------------- 1 | 287 74.55 74.55 2 | 77 20.00 94.55 3 | 19 4.94 99.48 4 | 2 0.52 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for ve_forms variable in vehicle dataset : number of | vehicle | forms | submitted | for mv in | transport | Freq. Percent Cum. ------------+----------------------------------- 1 | 210 54.55 54.55 2 | 116 30.13 84.68 3 | 51 13.25 97.92 4 | 8 2.08 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for numoccs variable in vehicle dataset : number of | occupants | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 0.26 0.26 1 | 306 79.48 79.74 2 | 46 11.95 91.69 3 | 17 4.42 96.10 4 | 9 2.34 98.44 5 | 4 1.04 99.48 6 | 1 0.26 99.74 7 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for day variable in vehicle dataset : crash date | (day) | Freq. Percent Cum. ------------+----------------------------------- 1 | 18 4.68 4.68 2 | 14 3.64 8.31 3 | 7 1.82 10.13 4 | 18 4.68 14.81 5 | 17 4.42 19.22 6 | 12 3.12 22.34 7 | 16 4.16 26.49 8 | 14 3.64 30.13 9 | 21 5.45 35.58 10 | 8 2.08 37.66 11 | 12 3.12 40.78 12 | 8 2.08 42.86 13 | 11 2.86 45.71 14 | 12 3.12 48.83 15 | 12 3.12 51.95 16 | 19 4.94 56.88 17 | 26 6.75 63.64 18 | 4 1.04 64.68 19 | 12 3.12 67.79 20 | 10 2.60 70.39 21 | 12 3.12 73.51 22 | 3 0.78 74.29 23 | 17 4.42 78.70 24 | 7 1.82 80.52 25 | 9 2.34 82.86 26 | 16 4.16 87.01 27 | 12 3.12 90.13 28 | 17 4.42 94.55 29 | 3 0.78 95.32 30 | 10 2.60 97.92 31 | 8 2.08 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for month variable in vehicle dataset : crash date | (month) | Freq. Percent Cum. ------------+----------------------------------- 1 | 32 8.31 8.31 2 | 30 7.79 16.10 3 | 27 7.01 23.12 4 | 35 9.09 32.21 5 | 31 8.05 40.26 6 | 31 8.05 48.31 7 | 27 7.01 55.32 8 | 34 8.83 64.16 9 | 34 8.83 72.99 10 | 31 8.05 81.04 11 | 43 11.17 92.21 12 | 30 7.79 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for hour variable in vehicle dataset : crash time | (hour) | Freq. Percent Cum. ------------+----------------------------------- 0 | 26 6.75 6.75 1 | 23 5.97 12.73 2 | 20 5.19 17.92 3 | 12 3.12 21.04 4 | 11 2.86 23.90 5 | 15 3.90 27.79 6 | 12 3.12 30.91 7 | 11 2.86 33.77 8 | 9 2.34 36.10 9 | 9 2.34 38.44 10 | 12 3.12 41.56 11 | 12 3.12 44.68 12 | 3 0.78 45.45 13 | 5 1.30 46.75 14 | 16 4.16 50.91 15 | 13 3.38 54.29 16 | 16 4.16 58.44 17 | 16 4.16 62.60 18 | 21 5.45 68.05 19 | 27 7.01 75.06 20 | 27 7.01 82.08 21 | 35 9.09 91.17 22 | 16 4.16 95.32 23 | 18 4.68 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for minute variable in vehicle dataset : crash time | (minute) | Freq. Percent Cum. ------------+----------------------------------- 0 | 42 10.91 10.91 1 | 2 0.52 11.43 2 | 1 0.26 11.69 3 | 2 0.52 12.21 4 | 3 0.78 12.99 5 | 11 2.86 15.84 7 | 3 0.78 16.62 8 | 2 0.52 17.14 9 | 2 0.52 17.66 10 | 19 4.94 22.60 11 | 4 1.04 23.64 12 | 3 0.78 24.42 13 | 1 0.26 24.68 14 | 2 0.52 25.19 15 | 19 4.94 30.13 16 | 3 0.78 30.91 18 | 1 0.26 31.17 19 | 1 0.26 31.43 20 | 29 7.53 38.96 21 | 5 1.30 40.26 22 | 5 1.30 41.56 23 | 4 1.04 42.60 25 | 18 4.68 47.27 26 | 1 0.26 47.53 27 | 1 0.26 47.79 28 | 3 0.78 48.57 29 | 4 1.04 49.61 30 | 43 11.17 60.78 32 | 2 0.52 61.30 34 | 3 0.78 62.08 35 | 12 3.12 65.19 36 | 7 1.82 67.01 37 | 2 0.52 67.53 38 | 2 0.52 68.05 39 | 2 0.52 68.57 40 | 17 4.42 72.99 41 | 1 0.26 73.25 42 | 1 0.26 73.51 44 | 3 0.78 74.29 45 | 24 6.23 80.52 46 | 4 1.04 81.56 47 | 1 0.26 81.82 48 | 4 1.04 82.86 49 | 6 1.56 84.42 50 | 24 6.23 90.65 51 | 4 1.04 91.69 52 | 2 0.52 92.21 53 | 3 0.78 92.99 54 | 3 0.78 93.77 55 | 7 1.82 95.58 56 | 6 1.56 97.14 57 | 5 1.30 98.44 59 | 6 1.56 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for harm_ev variable in vehicle dataset : first | harmful | event | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.26 0.26 3 | 1 0.26 0.52 5 | 6 1.56 2.08 7 | 7 1.82 3.90 8 | 90 23.38 27.27 9 | 12 3.12 30.39 12 | 172 44.68 75.06 14 | 4 1.04 76.10 15 | 1 0.26 76.36 25 | 18 4.68 81.04 30 | 20 5.19 86.23 33 | 3 0.78 87.01 35 | 4 1.04 88.05 38 | 11 2.86 90.91 39 | 6 1.56 92.47 42 | 21 5.45 97.92 43 | 8 2.08 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for man_coll variable in vehicle dataset : manner of | collision | Freq. Percent Cum. ------------+----------------------------------- 0 | 213 55.32 55.32 1 | 32 8.31 63.64 2 | 46 11.95 75.58 6 | 68 17.66 93.25 7 | 4 1.04 94.29 8 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for unittype variable in vehicle dataset : unit type | Freq. Percent Cum. ------------+----------------------------------- 1 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for hit_run variable in vehicle dataset : hit and run | Freq. Percent Cum. ------------+----------------------------------- 0 | 362 94.03 94.03 1 | 23 5.97 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for reg_stat variable in vehicle dataset : vehicle | registratio | n state | Freq. Percent Cum. ------------+----------------------------------- 43 | 363 94.29 94.29 92 | 1 0.26 94.55 99 | 21 5.45 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for owner variable in vehicle dataset : registered | vehicle | owner | Freq. Percent Cum. ------------+----------------------------------- 0 | 4 1.04 1.04 1 | 142 36.88 37.92 2 | 193 50.13 88.05 3 | 23 5.97 94.03 4 | 1 0.26 94.29 6 | 1 0.26 94.55 9 | 21 5.45 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for make variable in vehicle dataset : vehicle | make | Freq. Percent Cum. ------------+----------------------------------- 2 | 12 3.12 3.12 6 | 3 0.78 3.90 7 | 4 1.04 4.94 12 | 25 6.49 11.43 18 | 1 0.26 11.69 19 | 1 0.26 11.95 20 | 21 5.45 17.40 21 | 1 0.26 17.66 22 | 1 0.26 17.92 23 | 1 0.26 18.18 30 | 2 0.52 18.70 32 | 2 0.52 19.22 34 | 4 1.04 20.26 35 | 18 4.68 24.94 37 | 21 5.45 30.39 38 | 3 0.78 31.17 39 | 1 0.26 31.43 41 | 16 4.16 35.58 48 | 1 0.26 35.84 49 | 80 20.78 56.62 52 | 37 9.61 66.23 53 | 38 9.87 76.10 54 | 3 0.78 76.88 55 | 20 5.19 82.08 59 | 2 0.52 82.60 63 | 11 2.86 85.45 64 | 1 0.26 85.71 72 | 2 0.52 86.23 73 | 2 0.52 86.75 76 | 1 0.26 87.01 82 | 3 0.78 87.79 84 | 3 0.78 88.57 85 | 1 0.26 88.83 86 | 1 0.26 89.09 98 | 20 5.19 94.29 99 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for model variable in vehicle dataset : vehicle | model | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.52 0.52 2 | 2 0.52 1.04 3 | 3 0.78 1.82 16 | 2 0.52 2.34 17 | 1 0.26 2.60 20 | 1 0.26 2.86 22 | 1 0.26 3.12 24 | 2 0.52 3.64 27 | 1 0.26 3.90 28 | 1 0.26 4.16 31 | 13 3.38 7.53 32 | 30 7.79 15.32 33 | 8 2.08 17.40 34 | 3 0.78 18.18 35 | 22 5.71 23.90 36 | 14 3.64 27.53 37 | 7 1.82 29.35 38 | 16 4.16 33.51 39 | 2 0.52 34.03 40 | 7 1.82 35.84 42 | 2 0.52 36.36 43 | 8 2.08 38.44 45 | 4 1.04 39.48 46 | 8 2.08 41.56 47 | 11 2.86 44.42 48 | 2 0.52 44.94 50 | 4 1.04 45.97 51 | 12 3.12 49.09 52 | 2 0.52 49.61 53 | 1 0.26 49.87 55 | 1 0.26 50.13 398 | 2 0.52 50.65 401 | 32 8.31 58.96 402 | 13 3.38 62.34 403 | 6 1.56 63.90 404 | 6 1.56 65.45 406 | 1 0.26 65.71 407 | 2 0.52 66.23 421 | 3 0.78 67.01 441 | 7 1.82 68.83 442 | 4 1.04 69.87 461 | 4 1.04 70.91 470 | 1 0.26 71.17 471 | 9 2.34 73.51 472 | 4 1.04 74.55 481 | 7 1.82 76.36 703 | 6 1.56 77.92 704 | 3 0.78 78.70 705 | 6 1.56 80.26 706 | 21 5.45 85.71 709 | 17 4.42 90.13 739 | 5 1.30 91.43 881 | 1 0.26 91.69 898 | 12 3.12 94.81 989 | 1 0.26 95.06 999 | 19 4.94 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for mak_mod variable in vehicle dataset : make model | combined | Freq. Percent Cum. ------------+----------------------------------- 2001 | 1 0.26 0.26 2402 | 2 0.52 0.78 2403 | 3 0.78 1.56 2404 | 3 0.78 2.34 2406 | 1 0.26 2.60 2407 | 2 0.52 3.12 6051 | 1 0.26 3.38 6441 | 2 0.52 3.90 7027 | 1 0.26 4.16 7034 | 1 0.26 4.42 7402 | 1 0.26 4.68 7472 | 1 0.26 4.94 12003 | 2 0.52 5.45 12017 | 1 0.26 5.71 12024 | 1 0.26 5.97 12037 | 2 0.52 6.49 12401 | 3 0.78 7.27 12402 | 3 0.78 8.05 12442 | 1 0.26 8.31 12461 | 3 0.78 9.09 12471 | 1 0.26 9.35 12481 | 4 1.04 10.39 12898 | 4 1.04 11.43 18024 | 1 0.26 11.69 19003 | 1 0.26 11.95 20002 | 2 0.52 12.47 20016 | 1 0.26 12.73 20020 | 1 0.26 12.99 20022 | 1 0.26 13.25 20028 | 1 0.26 13.51 20037 | 2 0.52 14.03 20039 | 1 0.26 14.29 20403 | 3 0.78 15.06 20421 | 1 0.26 15.32 20441 | 3 0.78 16.10 20461 | 1 0.26 16.36 20470 | 1 0.26 16.62 20471 | 1 0.26 16.88 20481 | 2 0.52 17.40 21001 | 1 0.26 17.66 22016 | 1 0.26 17.92 23481 | 1 0.26 18.18 30042 | 1 0.26 18.44 30047 | 1 0.26 18.70 32043 | 2 0.52 19.22 34036 | 1 0.26 19.48 34043 | 1 0.26 19.74 34401 | 1 0.26 20.00 34402 | 1 0.26 20.26 35043 | 5 1.30 21.56 35047 | 2 0.52 22.08 35050 | 2 0.52 22.60 35051 | 1 0.26 22.86 35401 | 7 1.82 24.68 35471 | 1 0.26 24.94 37031 | 8 2.08 27.01 37032 | 2 0.52 27.53 37421 | 1 0.26 27.79 37441 | 2 0.52 28.31 37703 | 3 0.78 29.09 37705 | 2 0.52 29.61 37706 | 2 0.52 30.13 37739 | 1 0.26 30.39 38033 | 1 0.26 30.65 38401 | 1 0.26 30.91 38898 | 1 0.26 31.17 39036 | 1 0.26 31.43 41035 | 8 2.08 33.51 41037 | 1 0.26 33.77 41051 | 2 0.52 34.29 41052 | 1 0.26 34.55 41055 | 1 0.26 34.81 41471 | 3 0.78 35.58 48034 | 1 0.26 35.84 49032 | 23 5.97 41.82 49038 | 13 3.38 45.19 49040 | 4 1.04 46.23 49042 | 1 0.26 46.49 49045 | 2 0.52 47.01 49047 | 4 1.04 48.05 49048 | 1 0.26 48.31 49050 | 2 0.52 48.83 49051 | 8 2.08 50.91 49052 | 1 0.26 51.17 49053 | 1 0.26 51.43 49401 | 7 1.82 53.25 49402 | 3 0.78 54.03 49421 | 1 0.26 54.29 49442 | 3 0.78 55.06 49471 | 3 0.78 55.84 49472 | 3 0.78 56.62 52034 | 1 0.26 56.88 52035 | 9 2.34 59.22 52037 | 1 0.26 59.48 52039 | 1 0.26 59.74 52045 | 2 0.52 60.26 52046 | 8 2.08 62.34 52047 | 4 1.04 63.38 52048 | 1 0.26 63.64 52398 | 1 0.26 63.90 52401 | 9 2.34 66.23 53031 | 1 0.26 66.49 53033 | 4 1.04 67.53 53040 | 3 0.78 68.31 53401 | 1 0.26 68.57 53402 | 2 0.52 69.09 53404 | 3 0.78 69.87 53704 | 3 0.78 70.65 53705 | 3 0.78 71.43 53706 | 17 4.42 75.84 53709 | 1 0.26 76.10 54031 | 1 0.26 76.36 54035 | 1 0.26 76.62 54038 | 1 0.26 76.88 55032 | 2 0.52 77.40 55033 | 3 0.78 78.18 55035 | 3 0.78 78.96 55036 | 12 3.12 82.08 59031 | 1 0.26 82.34 59035 | 1 0.26 82.60 63031 | 1 0.26 82.86 63032 | 3 0.78 83.64 63037 | 1 0.26 83.90 63038 | 2 0.52 84.42 63401 | 3 0.78 85.19 63402 | 1 0.26 85.45 64031 | 1 0.26 85.71 72706 | 1 0.26 85.97 72709 | 1 0.26 86.23 73705 | 1 0.26 86.49 73706 | 1 0.26 86.75 76709 | 1 0.26 87.01 82898 | 2 0.52 87.53 82989 | 1 0.26 87.79 84898 | 3 0.78 88.57 85898 | 1 0.26 88.83 86881 | 1 0.26 89.09 98398 | 1 0.26 89.35 98703 | 3 0.78 90.13 98709 | 12 3.12 93.25 98739 | 3 0.78 94.03 98898 | 1 0.26 94.29 99709 | 2 0.52 94.81 99739 | 1 0.26 95.06 99999 | 19 4.94 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for body_typ variable in vehicle dataset : body type | Freq. Percent Cum. ------------+----------------------------------- 2 | 71 18.44 18.44 3 | 17 4.42 22.86 4 | 84 21.82 44.68 5 | 6 1.56 46.23 6 | 17 4.42 50.65 14 | 60 15.58 66.23 15 | 3 0.78 67.01 20 | 11 2.86 69.87 21 | 4 1.04 70.91 28 | 1 0.26 71.17 30 | 13 3.38 74.55 31 | 7 1.82 76.36 59 | 1 0.26 76.62 66 | 1 0.26 76.88 78 | 12 3.12 80.00 80 | 53 13.77 93.77 90 | 5 1.30 95.06 99 | 19 4.94 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for mod_year variable in vehicle dataset : vehicle | model year | Freq. Percent Cum. ------------+----------------------------------- 1977 | 1 0.26 0.26 1980 | 1 0.26 0.52 1982 | 2 0.52 1.04 1985 | 2 0.52 1.56 1986 | 2 0.52 2.08 1987 | 4 1.04 3.12 1988 | 4 1.04 4.16 1989 | 7 1.82 5.97 1990 | 5 1.30 7.27 1991 | 7 1.82 9.09 1992 | 3 0.78 9.87 1993 | 13 3.38 13.25 1994 | 11 2.86 16.10 1995 | 7 1.82 17.92 1996 | 6 1.56 19.48 1997 | 14 3.64 23.12 1998 | 11 2.86 25.97 1999 | 16 4.16 30.13 2000 | 17 4.42 34.55 2001 | 17 4.42 38.96 2002 | 14 3.64 42.60 2003 | 8 2.08 44.68 2004 | 20 5.19 49.87 2005 | 30 7.79 57.66 2006 | 21 5.45 63.12 2007 | 21 5.45 68.57 2008 | 16 4.16 72.73 2009 | 15 3.90 76.62 2010 | 10 2.60 79.22 2011 | 14 3.64 82.86 2012 | 10 2.60 85.45 2013 | 18 4.68 90.13 2014 | 10 2.60 92.73 2015 | 1 0.26 92.99 9999 | 27 7.01 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin variable in vehicle dataset : vehicle | identificati | on number | Freq. Percent Cum. -------------+----------------------------------- 000000000000 | 2 0.52 0.52 19UUA86569A0 | 1 0.26 0.78 19XFA1F82AE0 | 1 0.26 1.04 1B4HR48N52F2 | 1 0.26 1.30 1B7GL22X8WS7 | 1 0.26 1.56 1C4BJWDG2CL1 | 1 0.26 1.82 1C4BJWFG2CL0 | 1 0.26 2.08 1C4NJCBB3ED6 | 1 0.26 2.34 1C4NJPBBXED5 | 1 0.26 2.60 1C4RJEBT9DC5 | 1 0.26 2.86 1C4RJFAG8DC5 | 1 0.26 3.12 1FABP42E8KF2 | 1 0.26 3.38 1FAFP4043YF2 | 1 0.26 3.64 1FAHP56S02A2 | 1 0.26 3.90 1FDXR82E6RVA | 1 0.26 4.16 1FDXS82A1MVA | 1 0.26 4.42 1FMCU0C76BKB | 1 0.26 4.68 1FMCU0GX3DUC | 1 0.26 4.94 1FMCU14T2KUA | 1 0.26 5.19 1FMEU64E09UA | 1 0.26 5.45 1FMYU02Z46KA | 1 0.26 5.71 1FMZU32EXXUA | 1 0.26 5.97 1FTCR10U4STA | 1 0.26 6.23 1FTEX1CM2DFD | 1 0.26 6.49 1FTFE24Y3PHA | 1 0.26 6.75 1FTFE24Y8LHA | 1 0.26 7.01 1FTWW31R18EC | 1 0.26 7.27 1FVABUCS33HL | 1 0.26 7.53 1FVACXDC74HN | 1 0.26 7.79 1G1AK15FX773 | 1 0.26 8.05 1G1BN51H9JR1 | 1 0.26 8.31 1G1GZ37Z6FR1 | 1 0.26 8.57 1G1JB5SH7D42 | 1 0.26 8.83 1G1JC111XK72 | 1 0.26 9.09 1G1ND52J42M6 | 1 0.26 9.35 1G1ND52J6Y62 | 1 0.26 9.61 1G2JB1249Y71 | 1 0.26 9.87 1G3GM11Y1HP3 | 1 0.26 10.13 1G6DW547XLR7 | 1 0.26 10.39 1GBHG3960811 | 1 0.26 10.65 1GCDM15Z7PB1 | 1 0.26 10.91 1GCDM19X35B1 | 1 0.26 11.17 1GCGG25VX412 | 1 0.26 11.43 1GNDM19X04B1 | 1 0.26 11.69 1GNDS13S5821 | 1 0.26 11.95 1GNDT13S2821 | 1 0.26 12.21 1GNDT13W9V22 | 1 0.26 12.47 1GNES16S6561 | 1 0.26 12.73 1HD1GY413AC3 | 1 0.26 12.99 1HD4CJM12YK1 | 1 0.26 13.25 1HGCR2F57EA1 | 1 0.26 13.51 1HGED4667LA0 | 1 0.26 13.77 1HGEJ8140TL0 | 1 0.26 14.03 1HTSCABM5YH2 | 1 0.26 14.29 1HTWGAZT2AJ2 | 1 0.26 14.55 1J4FY49S8RP4 | 1 0.26 14.81 1J4RS4GG8BC5 | 1 0.26 15.06 1J8FT28B49D2 | 1 0.26 15.32 1J8HH48N16C1 | 1 0.26 15.58 1JCCF87A7FT0 | 1 0.26 15.84 1JCCN87EXCT0 | 1 0.26 16.10 1N4AL2AP6BC1 | 1 0.26 16.36 1N4BL11E24C1 | 1 0.26 16.62 1N6SD16S5PC3 | 1 0.26 16.88 1NK0L60X7YJ8 | 1 0.26 17.14 1NXBA02E0VZ6 | 1 0.26 17.40 1YVGF22CXW56 | 1 0.26 17.66 2C3HE66G3YH2 | 1 0.26 17.92 2C4GP44301R3 | 1 0.26 18.18 2C4GP54L05R4 | 1 0.26 18.44 2FMDK3GCXDBA | 1 0.26 18.70 2FMZA5147YBC | 1 0.26 18.96 2FTRX07W6XCA | 1 0.26 19.22 2G1WL52MXX11 | 1 0.26 19.48 2GCEK19R2V11 | 1 0.26 19.74 2HGED6340MH5 | 1 0.26 20.00 2HGFG11816H5 | 1 0.26 20.26 2HGFG12646H5 | 1 0.26 20.52 2HGFG21576H7 | 1 0.26 20.78 2HKRL18611H5 | 1 0.26 21.04 2M2N187Y4KC0 | 1 0.26 21.30 2T1BA02E5VC1 | 1 0.26 21.56 2T1BR12E0WC0 | 1 0.26 21.82 2T1BR12E1XC1 | 1 0.26 22.08 2T1BR12E41C4 | 1 0.26 22.34 2T1BR12E4YC2 | 1 0.26 22.60 2T1BR18E4WC0 | 1 0.26 22.86 2T1BR32E15C5 | 1 0.26 23.12 2T1BR32E44C1 | 1 0.26 23.38 2T1BR32E53C0 | 1 0.26 23.64 2T1BR32E96C6 | 1 0.26 23.90 2T1BU40E69C0 | 1 0.26 24.16 2T1BU4EE4AC2 | 1 0.26 24.42 2T1BU4EE5BC5 | 1 0.26 24.68 2T1BU4EE5BC6 | 1 0.26 24.94 2T1BU4EE7AC4 | 1 0.26 25.19 2T1BU4EE9DC0 | 1 0.26 25.45 2T1BU4EEXBC6 | 1 0.26 25.71 2T1BU4EEXCC8 | 1 0.26 25.97 2T1KR32E14C2 | 1 0.26 26.23 2T1KR32E38C7 | 1 0.26 26.49 2T1KR32E45C4 | 1 0.26 26.75 2T1KU40EX9C0 | 1 0.26 27.01 3D4GG57V49T6 | 1 0.26 27.27 3FAFP3131YR1 | 1 0.26 27.53 3FDNF65111MA | 1 0.26 27.79 3HTMKAAR63N5 | 1 0.26 28.05 3N1AB41D2VL0 | 1 0.26 28.31 3N1AB51D15L5 | 1 0.26 28.57 3N1BC13E27L3 | 1 0.26 28.83 3N1CB51D61L4 | 1 0.26 29.09 3N1CB6AP3AL6 | 1 0.26 29.35 3N1CN7AP7EL8 | 1 0.26 29.61 3VWFP7AT3CM6 | 1 0.26 29.87 3VWHD81H6TM0 | 1 0.26 30.13 4A3AC34G0YE0 | 1 0.26 30.39 4A3AJ46GXTE2 | 1 0.26 30.65 4S3BC6324R96 | 1 0.26 30.91 4T1BB3EK5BU1 | 1 0.26 31.17 4T1BE32K55U0 | 1 0.26 31.43 4T1BE46K47U1 | 1 0.26 31.69 4T1BF22K3VU9 | 1 0.26 31.95 4T3ZK11A09U0 | 1 0.26 32.21 4TARN81A5RZ2 | 1 0.26 32.47 4UZAACBW01CH | 1 0.26 32.73 4XAVE76A1BD1 | 1 0.26 32.99 5B4HP42R8333 | 1 0.26 33.25 5FNRL38457B0 | 1 0.26 33.51 5GAER23708J1 | 1 0.26 33.77 5J6TF1H55CL0 | 1 0.26 34.03 5KMMSG2P2451 | 1 0.26 34.29 5KMMSG2P4670 | 1 0.26 34.55 5KMMSG2P7570 | 1 0.26 34.81 5NPEB4AC0DH6 | 1 0.26 35.06 5NPEB4AC6DH5 | 1 0.26 35.32 5PVNV8JR562S | 1 0.26 35.58 5TDZA23C34S0 | 1 0.26 35.84 5TDZA23C55S2 | 1 0.26 36.10 5TDZA23C55S3 | 1 0.26 36.36 5TEJU62N87Z4 | 1 0.26 36.62 5TFLU4EN6EX1 | 1 0.26 36.88 5UXFA135X5LY | 1 0.26 37.14 999999999999 | 44 11.43 48.57 CCS142113179 | 1 0.26 48.83 E04EHHJ4930 | 1 0.26 49.09 F25HC005113 | 1 0.26 49.35 JA32U1FU6AU0 | 1 0.26 49.61 JA32U1FU6EU0 | 1 0.26 49.87 JA3AD59G8TZ0 | 1 0.26 50.13 JA3AJ26E16U0 | 1 0.26 50.39 JA3AJ26E76U0 | 1 0.26 50.65 JA3AJ66F94U0 | 1 0.26 50.91 JA3AM54J8RY0 | 1 0.26 51.17 JA3AU16U49U0 | 1 0.26 51.43 JA3AU86W89U0 | 1 0.26 51.69 JA3AY11A82U0 | 1 0.26 51.95 JA3AY11AXXU0 | 1 0.26 52.21 JA3AY21A0WU0 | 1 0.26 52.47 JA3AY26A11U0 | 1 0.26 52.73 JA3AY26A71U0 | 1 0.26 52.99 JA3AY31C1VU0 | 2 0.52 53.51 JA3AY31C3WU0 | 1 0.26 53.77 JA3AY31C5VU0 | 1 0.26 54.03 JA3BG39D6HZ0 | 1 0.26 54.29 JA3CY29W5NZ0 | 1 0.26 54.55 JA4LS21G9YP0 | 1 0.26 54.81 JA4LS31H31P0 | 1 0.26 55.06 JA4LS31H3XP0 | 1 0.26 55.32 JA4LX31F35U0 | 1 0.26 55.58 JA4LX31F86U0 | 1 0.26 55.84 JA4LX31FX6U0 | 1 0.26 56.10 JA4LX81F45U0 | 1 0.26 56.36 JA4MR31H0WJ0 | 1 0.26 56.62 JA4MR31H7PJ0 | 1 0.26 56.88 JA4MR31H8YJ0 | 1 0.26 57.14 JA4MR31H9VJ0 | 1 0.26 57.40 JA4MR41H9PJ0 | 1 0.26 57.66 JA4MW31S75J0 | 1 0.26 57.92 JABRT5363M74 | 1 0.26 58.18 JACDJ58XXX79 | 1 0.26 58.44 JALC4B169770 | 1 0.26 58.70 JB3CA36C8PU0 | 1 0.26 58.96 JH2MD2204MK0 | 1 0.26 59.22 JH2PC1709GM0 | 1 0.26 59.48 JH2RC3801NM1 | 1 0.26 59.74 JH2RD06147K5 | 1 0.26 60.00 JH2SC6704AK0 | 1 0.26 60.26 JH4DC4349RS0 | 1 0.26 60.52 JH4DC538X5S0 | 1 0.26 60.78 JKAKLEE198DA | 1 0.26 61.04 JKAZX9B112A0 | 1 0.26 61.30 JM1BC1410V01 | 1 0.26 61.56 JM1BG2245P05 | 1 0.26 61.82 JM1BG2245P06 | 1 0.26 62.08 JM1BG2268R07 | 1 0.26 62.34 JM1BJ2256216 | 1 0.26 62.60 JM1BJ2256301 | 1 0.26 62.86 JM1BJ2267205 | 1 0.26 63.12 JM1BK12F0614 | 1 0.26 63.38 JM1BK12F1512 | 1 0.26 63.64 JM1BW622XH05 | 1 0.26 63.90 JM1CR2936601 | 1 0.26 64.16 JM1DE1KY9C01 | 1 0.26 64.42 JM2UF1135J03 | 1 0.26 64.68 JM2UF1138P03 | 1 0.26 64.94 JM2UF113XK07 | 1 0.26 65.19 JN1EB31P0NU1 | 1 0.26 65.45 JN8AR05S2VW1 | 1 0.26 65.71 JN8AR05S6WW2 | 1 0.26 65.97 JN8AR05Y0TW0 | 1 0.26 66.23 JN8AR07SXYW4 | 1 0.26 66.49 JN8AR09X62W6 | 1 0.26 66.75 JN8AR09XX1W5 | 1 0.26 67.01 JN8AS5MT7CW2 | 1 0.26 67.27 JN8HD17Y7LW2 | 1 0.26 67.53 JS1CK43A9521 | 1 0.26 67.79 JS1GN79A2221 | 1 0.26 68.05 JS1GN7BAX321 | 1 0.26 68.31 JS1GR78A9S21 | 1 0.26 68.57 JS1GR7JA0421 | 1 0.26 68.83 JS1GT76A0521 | 1 0.26 69.09 JS1GW71A0221 | 1 0.26 69.35 JS1GW71A1521 | 1 0.26 69.61 JS1GW71A5221 | 1 0.26 69.87 JS1GW71A6421 | 1 0.26 70.13 JS1GW71A7421 | 1 0.26 70.39 JS1GW71AX121 | 1 0.26 70.65 JS1GW71AX621 | 1 0.26 70.91 JS1GX72A5821 | 2 0.52 71.43 JS1SK43A3521 | 1 0.26 71.69 JS1SK44A7821 | 1 0.26 71.95 JS1VX51L9Y21 | 1 0.26 72.21 JS1VY51A0Y21 | 1 0.26 72.47 JS1VY53A5721 | 1 0.26 72.73 JS1VY53A9721 | 1 0.26 72.99 JS2AA41S6F51 | 1 0.26 73.25 JS2RA62S4653 | 1 0.26 73.51 JS2RA62S5753 | 1 0.26 73.77 JS2RA62S8552 | 1 0.26 74.03 JS2YA4175951 | 1 0.26 74.29 JS2YC4162962 | 1 0.26 74.55 JS2YC5A38D61 | 1 0.26 74.81 JS3JC51C5G41 | 1 0.26 75.06 JS3TE0D75B41 | 1 0.26 75.32 JS3TE62V3X41 | 1 0.26 75.58 JS3TE9440742 | 1 0.26 75.84 JS3TE9470742 | 1 0.26 76.10 JT2AC52L4X03 | 1 0.26 76.36 JT2AC52L5V02 | 1 0.26 76.62 JT2AC52L7X03 | 1 0.26 76.88 JT2AC52L9W02 | 1 0.26 77.14 JT2AC52L9X03 | 1 0.26 77.40 JT2AE04E7P00 | 1 0.26 77.66 JT2AE04E9P00 | 1 0.26 77.92 JT2BA02E8T01 | 1 0.26 78.18 JT2BC52L5X03 | 1 0.26 78.44 JT2EL31F3L05 | 1 0.26 78.70 JT2EL43A0M00 | 1 0.26 78.96 JT2EL43B3M01 | 1 0.26 79.22 JT2EL43B8M00 | 1 0.26 79.48 JT2EL43T3R04 | 1 0.26 79.74 JT2EL43T9P03 | 1 0.26 80.00 JT2EL45U0R01 | 1 0.26 80.26 JT2EL56E9S70 | 1 0.26 80.52 JT3GM84RXW00 | 1 0.26 80.78 JT3GN86R8X01 | 1 0.26 81.04 JT3GP10V5W70 | 1 0.26 81.30 JT3GP10V6V00 | 1 0.26 81.56 JT3HT05J0X00 | 1 0.26 81.82 JT3VN29V8S00 | 1 0.26 82.08 JT4RN55D1J70 | 1 0.26 82.34 JT4RN62S2H01 | 1 0.26 82.60 JT4VN02D1K20 | 1 0.26 82.86 JTDAT1234403 | 1 0.26 83.12 JTDAT1237302 | 1 0.26 83.38 JTDBT9230711 | 1 0.26 83.64 JTDBT9231812 | 1 0.26 83.90 JTDBT9232812 | 1 0.26 84.16 JTDBT9236710 | 1 0.26 84.42 JTDBT9236912 | 1 0.26 84.68 JTDBT9238840 | 1 0.26 84.94 JTDBT923X711 | 1 0.26 85.19 JTDBT9K39A13 | 1 0.26 85.45 JTEBU14R6400 | 1 0.26 85.71 JTEZU14R8780 | 1 0.26 85.97 JTEZU5JR6B50 | 1 0.26 86.23 JTHBF5C23C51 | 1 0.26 86.49 JTHBW1GG8D20 | 1 0.26 86.75 JTKJF5C76E30 | 1 0.26 87.01 JTKKT6240501 | 1 0.26 87.27 JTMZD32V8850 | 1 0.26 87.53 JYARN02E1XA0 | 1 0.26 87.79 KL1TG626X5B4 | 1 0.26 88.05 KLATA52671B6 | 1 0.26 88.31 KM1MP5789716 | 1 0.26 88.57 KMHCF35G22U1 | 1 0.26 88.83 KMHCF35GX4U2 | 1 0.26 89.09 KMHCM36C87U0 | 1 0.26 89.35 KMHCM36CX9U1 | 1 0.26 89.61 KMHCM3BC2AU1 | 1 0.26 89.87 KMHCM46C27U0 | 1 0.26 90.13 KMHCT4AE4EU6 | 1 0.26 90.39 KMHCT5AE4CU0 | 1 0.26 90.65 KMHCT5AE4DU1 | 1 0.26 90.91 KMHDH4AE3DU7 | 1 0.26 91.17 KMHDH4AE4EU0 | 1 0.26 91.43 KMHDT46D29U5 | 1 0.26 91.69 KMHVD12J1RU3 | 1 0.26 91.95 KMHVD14N5TU1 | 1 0.26 92.21 KMHVD14N6SU0 | 1 0.26 92.47 KMHVF12J5PU6 | 1 0.26 92.73 KMHWF25S94A9 | 1 0.26 92.99 KNADM4A34D61 | 1 0.26 93.25 KNADN4A32D61 | 2 0.52 93.77 KNAFB1214Y58 | 1 0.26 94.03 KNAFT4A25B54 | 1 0.26 94.29 KNDJB7233157 | 1 0.26 94.55 KNDJB7238150 | 1 0.26 94.81 KNDJD7335554 | 1 0.26 95.06 KNDJT2A63D75 | 1 0.26 95.32 KNDPB3A26C72 | 1 0.26 95.58 LAWTBEMP56B1 | 1 0.26 95.84 LAWTBEMP65C7 | 1 0.26 96.10 LFFSKT1C3610 | 1 0.26 96.36 LFFSKT1CX510 | 1 0.26 96.62 LFGTCKPL7510 | 1 0.26 96.88 LFYTCKP6940A | 1 0.26 97.14 LJ4TCKPC0560 | 1 0.26 97.40 ML32A4HJ0EH0 | 1 0.26 97.66 RFBB5KBK95B1 | 1 0.26 97.92 SAJEA51C33WD | 1 0.26 98.18 VBKL1S4007M7 | 1 0.26 98.44 VBKLES4068M7 | 1 0.26 98.70 WAUAC68D21A0 | 1 0.26 98.96 WAUJT68E94A1 | 1 0.26 99.22 WB102280X9ZW | 1 0.26 99.48 WBAUP7C55DVP | 1 0.26 99.74 WBXPA93496WG | 1 0.26 100.00 -------------+----------------------------------- Total | 385 100.00 Frequencies for vin_1 variable in vehicle dataset : vin | character(1 | ) | Freq. Percent Cum. ------------+----------------------------------- 0 | 2 0.52 0.52 1 | 66 17.14 17.66 2 | 36 9.35 27.01 3 | 12 3.12 30.13 4 | 11 2.86 32.99 5 | 16 4.16 37.14 9 | 44 11.43 48.57 C | 1 0.26 48.83 E | 1 0.26 49.09 F | 1 0.26 49.35 J | 148 38.44 87.79 K | 30 7.79 95.58 L | 7 1.82 97.40 M | 1 0.26 97.66 R | 1 0.26 97.92 S | 1 0.26 98.18 V | 2 0.52 98.70 W | 5 1.30 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin_2 variable in vehicle dataset : vin | character(2 | ) | Freq. Percent Cum. ------------+----------------------------------- 0 | 3 0.78 0.78 2 | 1 0.26 1.04 9 | 46 11.95 12.99 A | 43 11.17 24.16 B | 9 2.34 26.49 C | 10 2.60 29.09 D | 1 0.26 29.35 F | 29 7.53 36.88 G | 22 5.71 42.60 H | 20 5.19 47.79 J | 8 2.08 49.87 K | 5 1.30 51.17 L | 3 0.78 51.95 M | 34 8.83 60.78 N | 32 8.31 69.09 P | 1 0.26 69.35 S | 34 8.83 78.18 T | 77 20.00 98.18 U | 2 0.52 98.70 V | 2 0.52 99.22 X | 1 0.26 99.48 Y | 2 0.52 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin_3 variable in vehicle dataset : vin | character(3 | ) | Freq. Percent Cum. ------------+----------------------------------- 0 | 2 0.52 0.52 1 | 77 20.00 20.52 2 | 34 8.83 29.35 3 | 39 10.13 39.48 4 | 35 9.09 48.57 5 | 1 0.26 48.83 6 | 3 0.78 49.61 7 | 1 0.26 49.87 8 | 10 2.60 52.47 9 | 44 11.43 63.90 A | 17 4.42 68.31 B | 3 0.78 69.09 C | 7 1.82 70.91 D | 23 5.97 76.88 E | 4 1.04 77.92 F | 3 0.78 78.70 G | 8 2.08 80.78 H | 19 4.94 85.71 J | 1 0.26 85.97 K | 6 1.56 87.53 L | 1 0.26 87.79 M | 12 3.12 90.91 N | 6 1.56 92.47 P | 2 0.52 92.99 S | 1 0.26 93.25 T | 9 2.34 95.58 U | 3 0.78 96.36 V | 4 1.04 97.40 W | 4 1.04 98.44 X | 4 1.04 99.48 Y | 1 0.26 99.74 Z | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin_4 variable in vehicle dataset : vin | character(4 | ) | Freq. Percent Cum. ------------+----------------------------------- 0 | 4 1.04 1.04 1 | 2 0.52 1.56 2 | 3 0.78 2.34 4 | 1 0.26 2.60 9 | 44 11.43 14.03 A | 43 11.17 25.19 B | 55 14.29 39.48 C | 24 6.23 45.71 D | 18 4.68 50.39 E | 21 5.45 55.84 F | 14 3.64 59.48 G | 26 6.75 66.23 H | 10 2.60 68.83 J | 11 2.86 71.69 K | 6 1.56 73.25 L | 10 2.60 75.84 M | 12 3.12 78.96 N | 7 1.82 80.78 P | 3 0.78 81.56 R | 16 4.16 85.71 S | 7 1.82 87.53 T | 12 3.12 90.65 U | 5 1.30 91.95 V | 11 2.86 94.81 W | 4 1.04 95.84 X | 2 0.52 96.36 Y | 4 1.04 97.40 Z | 10 2.60 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin_5 variable in vehicle dataset : vin | character(5 | ) | Freq. Percent Cum. ------------+----------------------------------- 0 | 2 0.52 0.52 1 | 2 0.52 1.04 2 | 1 0.26 1.30 4 | 2 0.52 1.82 5 | 1 0.26 2.08 9 | 44 11.43 13.51 A | 21 5.45 18.96 B | 17 4.42 23.38 C | 27 7.01 30.39 D | 15 3.90 34.29 E | 14 3.64 37.92 F | 14 3.64 41.56 G | 13 3.38 44.94 H | 4 1.04 45.97 J | 15 3.90 49.87 K | 12 3.12 52.99 L | 16 4.16 57.14 M | 11 2.86 60.00 N | 14 3.64 63.64 P | 12 3.12 66.75 R | 31 8.05 74.81 S | 11 2.86 77.66 T | 24 6.23 83.90 U | 24 6.23 90.13 V | 1 0.26 90.39 W | 12 3.12 93.51 X | 10 2.60 96.10 Y | 14 3.64 99.74 Z | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin_6 variable in vehicle dataset : vin | character(6 | ) | Freq. Percent Cum. ------------+----------------------------------- 0 | 23 5.97 5.97 1 | 56 14.55 20.52 2 | 34 8.83 29.35 3 | 43 11.17 40.52 4 | 48 12.47 52.99 5 | 40 10.39 63.38 6 | 20 5.19 68.57 7 | 21 5.45 74.03 8 | 14 3.64 77.66 9 | 56 14.55 92.21 A | 3 0.78 92.99 B | 1 0.26 93.25 C | 2 0.52 93.77 E | 4 1.04 94.81 F | 1 0.26 95.06 G | 3 0.78 95.84 H | 1 0.26 96.10 J | 1 0.26 96.36 K | 4 1.04 97.40 P | 1 0.26 97.66 S | 2 0.52 98.18 T | 2 0.52 98.70 U | 1 0.26 98.96 W | 2 0.52 99.48 X | 1 0.26 99.74 Y | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin_7 variable in vehicle dataset : vin | character(7 | ) | Freq. Percent Cum. ------------+----------------------------------- 0 | 10 2.60 2.60 1 | 59 15.32 17.92 2 | 76 19.74 37.66 3 | 25 6.49 44.16 4 | 23 5.97 50.13 5 | 13 3.38 53.51 6 | 25 6.49 60.00 7 | 11 2.86 62.86 8 | 12 3.12 65.97 9 | 57 14.81 80.78 A | 20 5.19 85.97 B | 9 2.34 88.31 C | 6 1.56 89.87 D | 3 0.78 90.65 E | 10 2.60 93.25 F | 5 1.30 94.55 G | 4 1.04 95.58 H | 2 0.52 96.10 J | 4 1.04 97.14 K | 2 0.52 97.66 M | 4 1.04 98.70 P | 3 0.78 99.48 S | 1 0.26 99.74 Z | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin_8 variable in vehicle dataset : vin | character(8 | ) | Freq. Percent Cum. ------------+----------------------------------- 0 | 9 2.34 2.34 1 | 10 2.60 4.94 2 | 5 1.30 6.23 3 | 23 5.97 12.21 4 | 13 3.38 15.58 5 | 9 2.34 17.92 6 | 13 3.38 21.30 7 | 7 1.82 23.12 8 | 4 1.04 24.16 9 | 44 11.43 35.58 A | 31 8.05 43.64 B | 5 1.30 44.94 C | 22 5.71 50.65 D | 8 2.08 52.73 E | 43 11.17 63.90 F | 9 2.34 66.23 G | 12 3.12 69.35 H | 10 2.60 71.95 J | 7 1.82 73.77 K | 5 1.30 75.06 L | 9 2.34 77.40 M | 3 0.78 78.18 N | 6 1.56 79.74 P | 9 2.34 82.08 R | 10 2.60 84.68 S | 17 4.42 89.09 T | 7 1.82 90.91 U | 5 1.30 92.21 V | 7 1.82 94.03 W | 5 1.30 95.32 X | 8 2.08 97.40 Y | 7 1.82 99.22 Z | 3 0.78 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin_9 variable in vehicle dataset : vin | character(9 | ) | Freq. Percent Cum. ------------+----------------------------------- 0 | 37 9.61 9.61 1 | 27 7.01 16.62 2 | 25 6.49 23.12 3 | 30 7.79 30.91 4 | 30 7.79 38.70 5 | 38 9.87 48.57 6 | 34 8.83 57.40 7 | 26 6.75 64.16 8 | 29 7.53 71.69 9 | 76 19.74 91.43 X | 33 8.57 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin_10 variable in vehicle dataset : vin | character(1 | 0) | Freq. Percent Cum. ------------+----------------------------------- 0 | 2 0.52 0.52 1 | 17 4.42 4.94 2 | 12 3.12 8.05 3 | 9 2.34 10.39 4 | 18 4.68 15.06 5 | 29 7.53 22.60 6 | 19 4.94 27.53 7 | 20 5.19 32.73 8 | 15 3.90 36.62 9 | 59 15.32 51.95 A | 10 2.60 54.55 B | 11 2.86 57.40 C | 11 2.86 60.26 D | 18 4.68 64.94 E | 10 2.60 67.53 F | 3 0.78 68.31 G | 2 0.52 68.83 H | 4 1.04 69.87 J | 3 0.78 70.65 K | 6 1.56 72.21 L | 5 1.30 73.51 M | 7 1.82 75.32 N | 3 0.78 76.10 P | 13 3.38 79.48 R | 10 2.60 82.08 S | 5 1.30 83.38 T | 7 1.82 85.19 V | 14 3.64 88.83 W | 11 2.86 91.69 X | 15 3.90 95.58 Y | 17 4.42 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin_11 variable in vehicle dataset : vin | character(1 | 1) | Freq. Percent Cum. ------------+----------------------------------- 0 | 42 10.91 10.91 1 | 18 4.68 15.58 2 | 27 7.01 22.60 3 | 3 0.78 23.38 4 | 7 1.82 25.19 5 | 15 3.90 29.09 6 | 8 2.08 31.17 7 | 14 3.64 34.81 8 | 1 0.26 35.06 9 | 45 11.69 46.75 A | 9 2.34 49.09 B | 10 2.60 51.69 C | 34 8.83 60.52 D | 5 1.30 61.82 E | 4 1.04 62.86 F | 4 1.04 63.90 H | 14 3.64 67.53 J | 9 2.34 69.87 K | 6 1.56 71.43 L | 11 2.86 74.29 M | 8 2.08 76.36 N | 1 0.26 76.62 P | 5 1.30 77.92 R | 6 1.56 79.48 S | 6 1.56 81.04 T | 4 1.04 82.08 U | 47 12.21 94.29 V | 3 0.78 95.06 W | 10 2.60 97.66 X | 1 0.26 97.92 Y | 1 0.26 98.18 Z | 7 1.82 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vin_12 variable in vehicle dataset : vin | character(1 | 2) | Freq. Percent Cum. ------------+----------------------------------- | 2 0.52 0.52 0 | 101 26.23 26.75 1 | 82 21.30 48.05 2 | 35 9.09 57.14 3 | 20 5.19 62.34 4 | 14 3.64 65.97 5 | 21 5.45 71.43 6 | 19 4.94 76.36 7 | 11 2.86 79.22 8 | 4 1.04 80.26 9 | 48 12.47 92.73 A | 14 3.64 96.36 B | 1 0.26 96.62 C | 3 0.78 97.40 D | 2 0.52 97.92 G | 1 0.26 98.18 H | 1 0.26 98.44 L | 1 0.26 98.70 N | 1 0.26 98.96 P | 1 0.26 99.22 S | 1 0.26 99.48 W | 1 0.26 99.74 Y | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for tow_veh variable in vehicle dataset : vehicle | trailing | Freq. Percent Cum. ------------+----------------------------------- 0 | 368 95.58 95.58 9 | 17 4.42 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for j_knife variable in vehicle dataset : jackknife | Freq. Percent Cum. ------------+----------------------------------- 0 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for mcarr_i1 variable in vehicle dataset : mcid | issuing | authority | Freq. Percent Cum. ------------+----------------------------------- 0 | 353 91.69 91.69 88 | 9 2.34 94.03 99 | 23 5.97 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for mcarr_i2 variable in vehicle dataset : mcid | identificat | ion number | Freq. Percent Cum. ------------+----------------------------------- 000000000 | 353 91.69 91.69 888888888 | 9 2.34 94.03 999999999 | 23 5.97 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for mcarr_id variable in vehicle dataset : motor | carrier | identificat | ion number | Freq. Percent Cum. ------------+----------------------------------- 00000000000 | 353 91.69 91.69 88888888888 | 9 2.34 94.03 99999999999 | 23 5.97 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for gvwr variable in vehicle dataset : gross | vehicle | weight | rating | Freq. Percent Cum. ------------+----------------------------------- 0 | 353 91.69 91.69 2 | 5 1.30 92.99 3 | 9 2.34 95.32 9 | 18 4.68 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for v_config variable in vehicle dataset : vehicle | configurati | on | Freq. Percent Cum. ------------+----------------------------------- 0 | 353 91.69 91.69 19 | 13 3.38 95.06 21 | 1 0.26 95.32 99 | 18 4.68 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for cargo_bt variable in vehicle dataset : cargo body | type | Freq. Percent Cum. ------------+----------------------------------- 0 | 353 91.69 91.69 22 | 1 0.26 91.95 98 | 13 3.38 95.32 99 | 18 4.68 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for haz_inv variable in vehicle dataset : hazardous | materials | involvement | /placard-hm | 1 | -involvemen | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for haz_plac variable in vehicle dataset : hazardous | materials | involvement | /placard-hm | 2 placard | Freq. Percent Cum. ------------+----------------------------------- 0 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for haz_id variable in vehicle dataset : hazardous | materials | involvement | /placard- | hm3 | identificat | ion number | Freq. Percent Cum. ------------+----------------------------------- 0 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for haz_cno variable in vehicle dataset : hazardous | materials | involvement | /placard-hm | 4 class | number | Freq. Percent Cum. ------------+----------------------------------- 0 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for haz_rel variable in vehicle dataset : hazardous | materials | involvement | /placard-hm | 5 released | Freq. Percent Cum. ------------+----------------------------------- 0 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for bus_use variable in vehicle dataset : bus use | Freq. Percent Cum. ------------+----------------------------------- 0 | 366 95.06 95.06 98 | 1 0.26 95.32 99 | 18 4.68 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for spec_use variable in vehicle dataset : special use | Freq. Percent Cum. ------------+----------------------------------- 0 | 367 95.32 95.32 99 | 18 4.68 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for emer_use variable in vehicle dataset : emergency | use | Freq. Percent Cum. ------------+----------------------------------- 0 | 368 95.58 95.58 9 | 17 4.42 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for trav_sp variable in vehicle dataset : travel | speed | Freq. Percent Cum. ------------+----------------------------------- 0 | 4 1.04 1.04 10 | 1 0.26 1.30 999 | 380 98.70 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for underide variable in vehicle dataset : underride/o | verride | Freq. Percent Cum. ------------+----------------------------------- 0 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for rollover variable in vehicle dataset : rollover | type | Freq. Percent Cum. ------------+----------------------------------- 0 | 366 95.06 95.06 2 | 19 4.94 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for rolinloc variable in vehicle dataset : location of | rollover | Freq. Percent Cum. ------------+----------------------------------- 0 | 366 95.06 95.06 1 | 2 0.52 95.58 3 | 1 0.26 95.84 5 | 1 0.26 96.10 6 | 15 3.90 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for impact1 variable in vehicle dataset : areas of | impact - | initial | contact | point | Freq. Percent Cum. ------------+----------------------------------- 0 | 15 3.90 3.90 1 | 7 1.82 5.71 2 | 12 3.12 8.83 3 | 23 5.97 14.81 5 | 3 0.78 15.58 6 | 20 5.19 20.78 7 | 12 3.12 23.90 8 | 1 0.26 24.16 9 | 27 7.01 31.17 10 | 7 1.82 32.99 11 | 28 7.27 40.26 12 | 229 59.48 99.74 13 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for deformed variable in vehicle dataset : extent of | damage | Freq. Percent Cum. ------------+----------------------------------- 0 | 6 1.56 1.56 2 | 144 37.40 38.96 4 | 27 7.01 45.97 6 | 208 54.03 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for towed variable in vehicle dataset : vehicle | removal | Freq. Percent Cum. ------------+----------------------------------- 2 | 208 54.03 54.03 3 | 38 9.87 63.90 5 | 139 36.10 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for m_harm variable in vehicle dataset : most | harmful | event | Freq. Percent Cum. ------------+----------------------------------- 1 | 17 4.42 4.42 2 | 3 0.78 5.19 5 | 6 1.56 6.75 7 | 6 1.56 8.31 8 | 96 24.94 33.25 9 | 12 3.12 36.36 12 | 164 42.60 78.96 14 | 2 0.52 79.48 15 | 1 0.26 79.74 25 | 11 2.86 82.60 30 | 27 7.01 89.61 35 | 2 0.52 90.13 38 | 7 1.82 91.95 39 | 9 2.34 94.29 42 | 18 4.68 98.96 43 | 4 1.04 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for veh_sc1 variable in vehicle dataset : vehicle | related | factors (1) | Freq. Percent Cum. ------------+----------------------------------- 0 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for veh_sc2 variable in vehicle dataset : vehicle | related | factors (2) | Freq. Percent Cum. ------------+----------------------------------- 0 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for fire_exp variable in vehicle dataset : fire | occurrence | Freq. Percent Cum. ------------+----------------------------------- 0 | 382 99.22 99.22 1 | 3 0.78 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for dr_pres variable in vehicle dataset : driver | presence | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 0.26 0.26 1 | 384 99.74 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for l_state variable in vehicle dataset : driver | license | state | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 0.26 0.26 6 | 2 0.52 0.78 9 | 1 0.26 1.04 13 | 1 0.26 1.30 36 | 1 0.26 1.56 43 | 358 92.99 94.55 99 | 21 5.45 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for dr_zip variable in vehicle dataset : driver zip | code | Freq. Percent Cum. ------------+----------------------------------- 601 | 1 0.26 0.26 602 | 8 2.08 2.34 603 | 4 1.04 3.38 612 | 9 2.34 5.71 617 | 2 0.52 6.23 622 | 2 0.52 6.75 623 | 3 0.78 7.53 624 | 3 0.78 8.31 627 | 2 0.52 8.83 637 | 4 1.04 9.87 638 | 2 0.52 10.39 641 | 4 1.04 11.43 646 | 3 0.78 12.21 653 | 1 0.26 12.47 656 | 2 0.52 12.99 659 | 4 1.04 14.03 662 | 4 1.04 15.06 667 | 1 0.26 15.32 674 | 6 1.56 16.88 676 | 12 3.12 20.00 677 | 2 0.52 20.52 678 | 3 0.78 21.30 680 | 9 2.34 23.64 682 | 1 0.26 23.90 685 | 5 1.30 25.19 687 | 4 1.04 26.23 688 | 2 0.52 26.75 692 | 3 0.78 27.53 693 | 5 1.30 28.83 698 | 4 1.04 29.87 703 | 5 1.30 31.17 704 | 1 0.26 31.43 705 | 2 0.52 31.95 707 | 1 0.26 32.21 716 | 2 0.52 32.73 717 | 1 0.26 32.99 718 | 2 0.52 33.51 719 | 3 0.78 34.29 720 | 1 0.26 34.55 723 | 3 0.78 35.32 725 | 20 5.19 40.52 729 | 4 1.04 41.56 730 | 1 0.26 41.82 731 | 2 0.52 42.34 735 | 3 0.78 43.12 736 | 1 0.26 43.38 737 | 1 0.26 43.64 738 | 9 2.34 45.97 739 | 4 1.04 47.01 745 | 6 1.56 48.57 751 | 2 0.52 49.09 754 | 4 1.04 50.13 757 | 2 0.52 50.65 766 | 2 0.52 51.17 767 | 3 0.78 51.95 769 | 6 1.56 53.51 771 | 5 1.30 54.81 772 | 1 0.26 55.06 773 | 3 0.78 55.84 777 | 2 0.52 56.36 778 | 7 1.82 58.18 782 | 4 1.04 59.22 783 | 3 0.78 60.00 784 | 6 1.56 61.56 791 | 1 0.26 61.82 794 | 1 0.26 62.08 795 | 3 0.78 62.86 907 | 1 0.26 63.12 912 | 1 0.26 63.38 915 | 5 1.30 64.68 917 | 2 0.52 65.19 921 | 3 0.78 65.97 923 | 3 0.78 66.75 924 | 5 1.30 68.05 926 | 7 1.82 69.87 927 | 1 0.26 70.13 928 | 1 0.26 70.39 949 | 12 3.12 73.51 951 | 3 0.78 74.29 952 | 1 0.26 74.55 953 | 8 2.08 76.62 954 | 1 0.26 76.88 956 | 4 1.04 77.92 957 | 3 0.78 78.70 959 | 4 1.04 79.74 961 | 3 0.78 80.52 962 | 5 1.30 81.82 965 | 1 0.26 82.08 969 | 4 1.04 83.12 970 | 1 0.26 83.38 971 | 7 1.82 85.19 976 | 4 1.04 86.23 979 | 1 0.26 86.49 982 | 3 0.78 87.27 983 | 4 1.04 88.31 984 | 1 0.26 88.57 985 | 5 1.30 89.87 986 | 2 0.52 90.39 987 | 10 2.60 92.99 6111 | 1 0.26 93.25 10701 | 1 0.26 93.51 30303 | 1 0.26 93.77 90001 | 1 0.26 94.03 91311 | 1 0.26 94.29 99997 | 1 0.26 94.55 99999 | 21 5.45 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for l_status variable in vehicle dataset : non-cdl | license | status | Freq. Percent Cum. ------------+----------------------------------- 0 | 33 8.57 8.57 3 | 3 0.78 9.35 6 | 326 84.68 94.03 7 | 1 0.26 94.29 9 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for l_type variable in vehicle dataset : non-cdl | license | type | Freq. Percent Cum. ------------+----------------------------------- 0 | 33 8.57 8.57 1 | 311 80.78 89.35 6 | 1 0.26 89.61 7 | 18 4.68 94.29 9 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for cdl_stat variable in vehicle dataset : commercial | mv license | status | Freq. Percent Cum. ------------+----------------------------------- 0 | 360 93.51 93.51 6 | 2 0.52 94.03 97 | 1 0.26 94.29 99 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for l_endors variable in vehicle dataset : compliance | with cdl | endorsement | s | Freq. Percent Cum. ------------+----------------------------------- 0 | 362 94.03 94.03 7 | 1 0.26 94.29 9 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for l_compl variable in vehicle dataset : license | compliance | with class | of vehicle | Freq. Percent Cum. ------------+----------------------------------- 0 | 33 8.57 8.57 2 | 17 4.42 12.99 3 | 312 81.04 94.03 6 | 1 0.26 94.29 9 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for l_restri variable in vehicle dataset : compliance | with | license | restriction | s | Freq. Percent Cum. ------------+----------------------------------- 0 | 319 82.86 82.86 1 | 43 11.17 94.03 7 | 1 0.26 94.29 9 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for dr_hgt variable in vehicle dataset : driver | height | Freq. Percent Cum. ------------+----------------------------------- 54 | 1 0.26 0.26 55 | 1 0.26 0.52 58 | 2 0.52 1.04 59 | 1 0.26 1.30 60 | 5 1.30 2.60 61 | 3 0.78 3.38 62 | 16 4.16 7.53 63 | 16 4.16 11.69 64 | 19 4.94 16.62 65 | 22 5.71 22.34 66 | 37 9.61 31.95 67 | 47 12.21 44.16 68 | 42 10.91 55.06 69 | 27 7.01 62.08 70 | 21 5.45 67.53 71 | 24 6.23 73.77 72 | 19 4.94 78.70 73 | 5 1.30 80.00 74 | 9 2.34 82.34 75 | 2 0.52 82.86 76 | 1 0.26 83.12 78 | 1 0.26 83.38 998 | 1 0.26 83.64 999 | 63 16.36 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for dr_wgt variable in vehicle dataset : driver | weight | Freq. Percent Cum. ------------+----------------------------------- 95 | 1 0.26 0.26 100 | 2 0.52 0.78 102 | 1 0.26 1.04 105 | 1 0.26 1.30 106 | 2 0.52 1.82 107 | 1 0.26 2.08 108 | 1 0.26 2.34 110 | 3 0.78 3.12 115 | 1 0.26 3.38 117 | 1 0.26 3.64 118 | 1 0.26 3.90 119 | 1 0.26 4.16 120 | 5 1.30 5.45 121 | 1 0.26 5.71 122 | 1 0.26 5.97 125 | 3 0.78 6.75 127 | 2 0.52 7.27 128 | 1 0.26 7.53 129 | 1 0.26 7.79 130 | 10 2.60 10.39 132 | 1 0.26 10.65 133 | 1 0.26 10.91 134 | 1 0.26 11.17 135 | 6 1.56 12.73 136 | 1 0.26 12.99 138 | 4 1.04 14.03 140 | 10 2.60 16.62 142 | 1 0.26 16.88 145 | 10 2.60 19.48 146 | 2 0.52 20.00 147 | 1 0.26 20.26 148 | 3 0.78 21.04 149 | 1 0.26 21.30 150 | 27 7.01 28.31 152 | 3 0.78 29.09 153 | 1 0.26 29.35 155 | 3 0.78 30.13 158 | 1 0.26 30.39 160 | 12 3.12 33.51 162 | 3 0.78 34.29 164 | 3 0.78 35.06 165 | 9 2.34 37.40 166 | 1 0.26 37.66 168 | 3 0.78 38.44 169 | 1 0.26 38.70 170 | 18 4.68 43.38 171 | 2 0.52 43.90 172 | 1 0.26 44.16 174 | 3 0.78 44.94 175 | 8 2.08 47.01 176 | 4 1.04 48.05 178 | 3 0.78 48.83 179 | 1 0.26 49.09 180 | 15 3.90 52.99 182 | 2 0.52 53.51 183 | 1 0.26 53.77 184 | 1 0.26 54.03 185 | 7 1.82 55.84 186 | 2 0.52 56.36 187 | 1 0.26 56.62 190 | 8 2.08 58.70 192 | 2 0.52 59.22 194 | 1 0.26 59.48 195 | 3 0.78 60.26 196 | 2 0.52 60.78 197 | 1 0.26 61.04 198 | 3 0.78 61.82 200 | 11 2.86 64.68 205 | 3 0.78 65.45 206 | 2 0.52 65.97 208 | 1 0.26 66.23 210 | 8 2.08 68.31 212 | 1 0.26 68.57 215 | 5 1.30 69.87 218 | 2 0.52 70.39 220 | 7 1.82 72.21 222 | 1 0.26 72.47 224 | 1 0.26 72.73 225 | 1 0.26 72.99 228 | 2 0.52 73.51 230 | 3 0.78 74.29 232 | 1 0.26 74.55 234 | 1 0.26 74.81 235 | 1 0.26 75.06 238 | 2 0.52 75.58 240 | 8 2.08 77.66 248 | 1 0.26 77.92 250 | 2 0.52 78.44 260 | 2 0.52 78.96 264 | 1 0.26 79.22 265 | 1 0.26 79.48 266 | 1 0.26 79.74 275 | 2 0.52 80.26 282 | 1 0.26 80.52 285 | 2 0.52 81.04 286 | 1 0.26 81.30 300 | 3 0.78 82.08 315 | 1 0.26 82.34 320 | 1 0.26 82.60 385 | 2 0.52 83.12 997 | 1 0.26 83.38 999 | 64 16.62 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for prev_acc variable in vehicle dataset : previous | recorded | crashes | Freq. Percent Cum. ------------+----------------------------------- 0 | 360 93.51 93.51 98 | 2 0.52 94.03 99 | 22 5.71 99.74 998 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for prev_sus variable in vehicle dataset : previous | recorded | suspensions | and | revocations | Freq. Percent Cum. ------------+----------------------------------- 0 | 362 94.03 94.03 99 | 22 5.71 99.74 998 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for prev_dwi variable in vehicle dataset : previous | dwi | convictions | Freq. Percent Cum. ------------+----------------------------------- 0 | 359 93.25 93.25 1 | 3 0.78 94.03 99 | 22 5.71 99.74 998 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for prev_spd variable in vehicle dataset : previous | speeding | convictions | Freq. Percent Cum. ------------+----------------------------------- 0 | 310 80.52 80.52 1 | 37 9.61 90.13 2 | 6 1.56 91.69 3 | 2 0.52 92.21 4 | 2 0.52 92.73 5 | 5 1.30 94.03 99 | 22 5.71 99.74 998 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for prev_oth variable in vehicle dataset : previous | other | harmful mv | convictions | Freq. Percent Cum. ------------+----------------------------------- 0 | 245 63.64 63.64 1 | 33 8.57 72.21 2 | 23 5.97 78.18 3 | 12 3.12 81.30 4 | 9 2.34 83.64 5 | 40 10.39 94.03 99 | 22 5.71 99.74 998 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for first_mo variable in vehicle dataset : date of | first | crash, | suspension | or | conviction | (month) | Freq. Percent Cum. ------------+----------------------------------- 0 | 236 61.30 61.30 1 | 14 3.64 64.94 2 | 22 5.71 70.65 3 | 11 2.86 73.51 4 | 18 4.68 78.18 5 | 14 3.64 81.82 6 | 7 1.82 83.64 7 | 4 1.04 84.68 8 | 10 2.60 87.27 9 | 9 2.34 89.61 10 | 6 1.56 91.17 11 | 6 1.56 92.73 12 | 5 1.30 94.03 98 | 1 0.26 94.29 99 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for first_yr variable in vehicle dataset : date of | first | crash, | suspension | or | conviction | (year) | Freq. Percent Cum. ------------+----------------------------------- 0 | 236 61.30 61.30 2011 | 4 1.04 62.34 2012 | 65 16.88 79.22 2013 | 46 11.95 91.17 2014 | 11 2.86 94.03 9998 | 1 0.26 94.29 9999 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for last_mo variable in vehicle dataset : date of | last crash, | suspension | or | conviction | (month) | Freq. Percent Cum. ------------+----------------------------------- 0 | 236 61.30 61.30 1 | 11 2.86 64.16 2 | 19 4.94 69.09 3 | 14 3.64 72.73 4 | 20 5.19 77.92 5 | 11 2.86 80.78 6 | 8 2.08 82.86 7 | 3 0.78 83.64 8 | 9 2.34 85.97 9 | 11 2.86 88.83 10 | 6 1.56 90.39 11 | 4 1.04 91.43 12 | 10 2.60 94.03 98 | 1 0.26 94.29 99 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for last_yr variable in vehicle dataset : date of | last crash, | suspension | or | conviction | (year) | Freq. Percent Cum. ------------+----------------------------------- 0 | 236 61.30 61.30 2011 | 1 0.26 61.56 2012 | 30 7.79 69.35 2013 | 56 14.55 83.90 2014 | 39 10.13 94.03 9998 | 1 0.26 94.29 9999 | 22 5.71 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for speedrel variable in vehicle dataset : speeding | related | Freq. Percent Cum. ------------+----------------------------------- 0 | 277 71.95 71.95 4 | 107 27.79 99.74 8 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for dr_sf1 variable in vehicle dataset : driver | related | factors (4 | choices) | Freq. Percent Cum. ------------+----------------------------------- 0 | 140 36.36 36.36 26 | 23 5.97 42.34 27 | 6 1.56 43.90 28 | 156 40.52 84.42 36 | 52 13.51 97.92 48 | 3 0.78 98.70 86 | 4 1.04 99.74 87 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for dr_sf2 variable in vehicle dataset : driver | related | factors (4 | choices) | Freq. Percent Cum. ------------+----------------------------------- 0 | 146 37.92 37.92 28 | 8 2.08 40.00 29 | 3 0.78 40.78 35 | 2 0.52 41.30 36 | 171 44.42 85.71 38 | 54 14.03 99.74 51 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for dr_sf3 variable in vehicle dataset : driver | related | factors (4 | choices) | Freq. Percent Cum. ------------+----------------------------------- 0 | 313 81.30 81.30 23 | 1 0.26 81.56 26 | 1 0.26 81.82 28 | 1 0.26 82.08 35 | 1 0.26 82.34 36 | 16 4.16 86.49 38 | 21 5.45 91.95 39 | 2 0.52 92.47 48 | 5 1.30 93.77 51 | 24 6.23 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for dr_sf4 variable in vehicle dataset : driver | related | factors (4 | choices) | Freq. Percent Cum. ------------+----------------------------------- 0 | 366 95.06 95.06 26 | 1 0.26 95.32 36 | 1 0.26 95.58 38 | 2 0.52 96.10 39 | 10 2.60 98.70 48 | 2 0.52 99.22 51 | 3 0.78 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vtrafway variable in vehicle dataset : trafficway | description | Freq. Percent Cum. ------------+----------------------------------- 1 | 73 18.96 18.96 2 | 219 56.88 75.84 3 | 88 22.86 98.70 4 | 5 1.30 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vnum_lan variable in vehicle dataset : total lanes | in roadway | Freq. Percent Cum. ------------+----------------------------------- 1 | 4 1.04 1.04 2 | 239 62.08 63.12 3 | 34 8.83 71.95 4 | 76 19.74 91.69 5 | 13 3.38 95.06 6 | 19 4.94 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vspd_lim variable in vehicle dataset : speed limit | Freq. Percent Cum. ------------+----------------------------------- 15 | 3 0.78 0.78 20 | 1 0.26 1.04 25 | 25 6.49 7.53 30 | 1 0.26 7.79 35 | 140 36.36 44.16 40 | 22 5.71 49.87 45 | 69 17.92 67.79 50 | 23 5.97 73.77 55 | 3 0.78 74.55 65 | 98 25.45 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for valign variable in vehicle dataset : roadway | alignment | Freq. Percent Cum. ------------+----------------------------------- 1 | 385 100.00 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vprofile variable in vehicle dataset : roadway | grade | Freq. Percent Cum. ------------+----------------------------------- 1 | 295 76.62 76.62 2 | 63 16.36 92.99 3 | 27 7.01 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vpavetyp variable in vehicle dataset : roadway | surface | type | Freq. Percent Cum. ------------+----------------------------------- 1 | 23 5.97 5.97 2 | 362 94.03 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vsurcond variable in vehicle dataset : roadway | surface | condition | Freq. Percent Cum. ------------+----------------------------------- 1 | 333 86.49 86.49 2 | 52 13.51 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vtrafcon variable in vehicle dataset : traffic | control | device | Freq. Percent Cum. ------------+----------------------------------- 0 | 372 96.62 96.62 8 | 1 0.26 96.88 20 | 12 3.12 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for vtcont_f variable in vehicle dataset : traffic | control | device | functioning | Freq. Percent Cum. ------------+----------------------------------- 0 | 372 96.62 96.62 3 | 13 3.38 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for p_crash1 variable in vehicle dataset : pre-event | movement | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 0.26 0.26 1 | 384 99.74 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for p_crash2 variable in vehicle dataset : critical | event - | precrash | (event) | Freq. Percent Cum. ------------+----------------------------------- 6 | 94 24.42 24.42 10 | 10 2.60 27.01 11 | 180 46.75 73.77 80 | 78 20.26 94.03 83 | 9 2.34 96.36 98 | 14 3.64 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for p_crash3 variable in vehicle dataset : attempted | avoidance | maneuver | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 0.26 0.26 1 | 383 99.48 99.74 2 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for pcrash4 variable in vehicle dataset : pre- impact | stability | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 0.26 0.26 1 | 108 28.05 28.31 2 | 168 43.64 71.95 4 | 108 28.05 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for pcrash5 variable in vehicle dataset : pre- impact | location | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 0.26 0.26 1 | 89 23.12 23.38 2 | 178 46.23 69.61 4 | 116 30.13 99.74 5 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for acc_type variable in vehicle dataset : crash type | Freq. Percent Cum. ------------+----------------------------------- 0 | 14 3.64 3.64 13 | 98 25.45 29.09 14 | 78 20.26 49.35 20 | 4 1.04 50.39 21 | 1 0.26 50.65 22 | 3 0.78 51.43 32 | 20 5.19 56.62 44 | 2 0.52 57.14 45 | 2 0.52 57.66 48 | 2 0.52 58.18 50 | 22 5.71 63.90 51 | 22 5.71 69.61 64 | 32 8.31 77.92 65 | 32 8.31 86.23 98 | 53 13.77 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for deaths variable in vehicle dataset : fatals in | vehicle | Freq. Percent Cum. ------------+----------------------------------- 0 | 203 52.73 52.73 1 | 171 44.42 97.14 2 | 9 2.34 99.48 3 | 1 0.26 99.74 4 | 1 0.26 100.00 ------------+----------------------------------- Total | 385 100.00 Frequencies for dr_drink variable in vehicle dataset : driver | drinking | Freq. Percent Cum. ------------+----------------------------------- 0 | 274 71.17 71.17 1 | 111 28.83 100.00 ------------+----------------------------------- Total | 385 100.00 by Jean Roth , jroth@nber.org , 22 Oct 2016