Frequencies for person dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for state variable in person dataset : State | Number | Freq. Percent Cum. ------------+----------------------------------- 43 | 733 100.00 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for st_case variable in person dataset : Consecutive | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 3 0.41 0.41 430002 | 2 0.27 0.68 430003 | 2 0.27 0.95 430004 | 3 0.41 1.36 430005 | 1 0.14 1.50 430006 | 2 0.27 1.77 430007 | 2 0.27 2.05 430008 | 3 0.41 2.46 430010 | 2 0.27 2.73 430011 | 2 0.27 3.00 430012 | 1 0.14 3.14 430013 | 3 0.41 3.55 430014 | 2 0.27 3.82 430015 | 2 0.27 4.09 430017 | 2 0.27 4.37 430018 | 1 0.14 4.50 430019 | 4 0.55 5.05 430020 | 2 0.27 5.32 430021 | 2 0.27 5.59 430022 | 4 0.55 6.14 430023 | 3 0.41 6.55 430024 | 1 0.14 6.68 430025 | 2 0.27 6.96 430026 | 1 0.14 7.09 430027 | 2 0.27 7.37 430028 | 2 0.27 7.64 430029 | 2 0.27 7.91 430030 | 2 0.27 8.19 430031 | 2 0.27 8.46 430032 | 2 0.27 8.73 430033 | 2 0.27 9.00 430034 | 1 0.14 9.14 430035 | 2 0.27 9.41 430036 | 1 0.14 9.55 430037 | 1 0.14 9.69 430038 | 3 0.41 10.10 430039 | 2 0.27 10.37 430040 | 2 0.27 10.64 430041 | 2 0.27 10.91 430042 | 1 0.14 11.05 430043 | 1 0.14 11.19 430044 | 3 0.41 11.60 430045 | 1 0.14 11.73 430046 | 1 0.14 11.87 430047 | 2 0.27 12.14 430048 | 2 0.27 12.41 430049 | 1 0.14 12.55 430050 | 2 0.27 12.82 430051 | 3 0.41 13.23 430052 | 3 0.41 13.64 430053 | 4 0.55 14.19 430054 | 2 0.27 14.46 430055 | 5 0.68 15.14 430056 | 4 0.55 15.69 430057 | 1 0.14 15.83 430058 | 3 0.41 16.23 430059 | 2 0.27 16.51 430060 | 2 0.27 16.78 430062 | 1 0.14 16.92 430063 | 1 0.14 17.05 430064 | 3 0.41 17.46 430065 | 2 0.27 17.74 430066 | 2 0.27 18.01 430067 | 2 0.27 18.28 430068 | 2 0.27 18.55 430069 | 4 0.55 19.10 430070 | 2 0.27 19.37 430071 | 2 0.27 19.65 430072 | 2 0.27 19.92 430073 | 2 0.27 20.19 430074 | 1 0.14 20.33 430075 | 2 0.27 20.60 430076 | 2 0.27 20.87 430077 | 2 0.27 21.15 430078 | 2 0.27 21.42 430079 | 2 0.27 21.69 430080 | 1 0.14 21.83 430081 | 4 0.55 22.37 430082 | 3 0.41 22.78 430083 | 2 0.27 23.06 430084 | 3 0.41 23.47 430085 | 6 0.82 24.28 430086 | 4 0.55 24.83 430087 | 1 0.14 24.97 430088 | 2 0.27 25.24 430089 | 2 0.27 25.51 430090 | 2 0.27 25.78 430091 | 2 0.27 26.06 430092 | 2 0.27 26.33 430093 | 1 0.14 26.47 430094 | 2 0.27 26.74 430095 | 2 0.27 27.01 430096 | 3 0.41 27.42 430097 | 2 0.27 27.69 430098 | 1 0.14 27.83 430099 | 1 0.14 27.97 430100 | 5 0.68 28.65 430101 | 2 0.27 28.92 430102 | 2 0.27 29.20 430103 | 4 0.55 29.74 430104 | 2 0.27 30.01 430105 | 1 0.14 30.15 430106 | 2 0.27 30.42 430107 | 2 0.27 30.70 430108 | 2 0.27 30.97 430109 | 2 0.27 31.24 430110 | 2 0.27 31.51 430111 | 7 0.95 32.47 430112 | 2 0.27 32.74 430113 | 3 0.41 33.15 430114 | 1 0.14 33.29 430115 | 1 0.14 33.42 430116 | 1 0.14 33.56 430117 | 2 0.27 33.83 430118 | 1 0.14 33.97 430119 | 2 0.27 34.24 430120 | 1 0.14 34.38 430121 | 2 0.27 34.65 430122 | 1 0.14 34.79 430123 | 2 0.27 35.06 430124 | 2 0.27 35.33 430125 | 2 0.27 35.61 430126 | 2 0.27 35.88 430127 | 2 0.27 36.15 430128 | 6 0.82 36.97 430129 | 1 0.14 37.11 430130 | 2 0.27 37.38 430131 | 2 0.27 37.65 430132 | 2 0.27 37.93 430133 | 2 0.27 38.20 430134 | 2 0.27 38.47 430135 | 2 0.27 38.74 430136 | 2 0.27 39.02 430137 | 2 0.27 39.29 430138 | 2 0.27 39.56 430139 | 3 0.41 39.97 430140 | 2 0.27 40.25 430141 | 1 0.14 40.38 430142 | 2 0.27 40.65 430143 | 1 0.14 40.79 430144 | 2 0.27 41.06 430145 | 2 0.27 41.34 430146 | 7 0.95 42.29 430147 | 5 0.68 42.97 430148 | 1 0.14 43.11 430149 | 6 0.82 43.93 430150 | 1 0.14 44.07 430151 | 1 0.14 44.20 430152 | 2 0.27 44.47 430153 | 2 0.27 44.75 430154 | 1 0.14 44.88 430155 | 3 0.41 45.29 430156 | 2 0.27 45.57 430157 | 7 0.95 46.52 430158 | 1 0.14 46.66 430159 | 2 0.27 46.93 430160 | 2 0.27 47.20 430161 | 1 0.14 47.34 430162 | 2 0.27 47.61 430163 | 6 0.82 48.43 430164 | 2 0.27 48.70 430165 | 2 0.27 48.98 430166 | 2 0.27 49.25 430167 | 2 0.27 49.52 430168 | 1 0.14 49.66 430169 | 2 0.27 49.93 430170 | 6 0.82 50.75 430171 | 3 0.41 51.16 430172 | 3 0.41 51.57 430173 | 2 0.27 51.84 430174 | 1 0.14 51.98 430175 | 2 0.27 52.25 430176 | 2 0.27 52.52 430177 | 4 0.55 53.07 430178 | 5 0.68 53.75 430179 | 8 1.09 54.84 430180 | 1 0.14 54.98 430181 | 2 0.27 55.25 430182 | 2 0.27 55.53 430183 | 2 0.27 55.80 430184 | 1 0.14 55.93 430185 | 2 0.27 56.21 430186 | 2 0.27 56.48 430187 | 2 0.27 56.75 430188 | 3 0.41 57.16 430189 | 2 0.27 57.44 430190 | 2 0.27 57.71 430191 | 2 0.27 57.98 430192 | 2 0.27 58.25 430193 | 1 0.14 58.39 430194 | 1 0.14 58.53 430195 | 4 0.55 59.07 430196 | 1 0.14 59.21 430197 | 3 0.41 59.62 430198 | 2 0.27 59.89 430199 | 6 0.82 60.71 430200 | 2 0.27 60.98 430201 | 2 0.27 61.26 430202 | 1 0.14 61.39 430203 | 4 0.55 61.94 430204 | 1 0.14 62.07 430205 | 2 0.27 62.35 430206 | 2 0.27 62.62 430207 | 2 0.27 62.89 430208 | 3 0.41 63.30 430209 | 2 0.27 63.57 430210 | 2 0.27 63.85 430211 | 3 0.41 64.26 430212 | 2 0.27 64.53 430213 | 3 0.41 64.94 430214 | 1 0.14 65.08 430215 | 2 0.27 65.35 430216 | 2 0.27 65.62 430217 | 2 0.27 65.89 430218 | 4 0.55 66.44 430219 | 3 0.41 66.85 430220 | 1 0.14 66.98 430221 | 2 0.27 67.26 430222 | 2 0.27 67.53 430223 | 1 0.14 67.67 430224 | 2 0.27 67.94 430225 | 1 0.14 68.08 430226 | 3 0.41 68.49 430227 | 3 0.41 68.89 430228 | 2 0.27 69.17 430229 | 1 0.14 69.30 430230 | 2 0.27 69.58 430231 | 3 0.41 69.99 430232 | 2 0.27 70.26 430233 | 2 0.27 70.53 430234 | 2 0.27 70.80 430235 | 3 0.41 71.21 430236 | 6 0.82 72.03 430237 | 2 0.27 72.31 430238 | 6 0.82 73.12 430239 | 2 0.27 73.40 430240 | 2 0.27 73.67 430241 | 2 0.27 73.94 430242 | 2 0.27 74.22 430243 | 2 0.27 74.49 430244 | 1 0.14 74.62 430245 | 2 0.27 74.90 430246 | 5 0.68 75.58 430247 | 2 0.27 75.85 430248 | 3 0.41 76.26 430249 | 2 0.27 76.53 430250 | 1 0.14 76.67 430251 | 5 0.68 77.35 430252 | 2 0.27 77.63 430253 | 3 0.41 78.04 430254 | 1 0.14 78.17 430255 | 1 0.14 78.31 430256 | 2 0.27 78.58 430257 | 2 0.27 78.85 430258 | 2 0.27 79.13 430259 | 2 0.27 79.40 430260 | 2 0.27 79.67 430261 | 2 0.27 79.95 430262 | 1 0.14 80.08 430263 | 2 0.27 80.35 430264 | 1 0.14 80.49 430265 | 1 0.14 80.63 430266 | 1 0.14 80.76 430267 | 1 0.14 80.90 430268 | 2 0.27 81.17 430269 | 2 0.27 81.45 430270 | 2 0.27 81.72 430271 | 2 0.27 81.99 430272 | 3 0.41 82.40 430273 | 3 0.41 82.81 430274 | 4 0.55 83.36 430275 | 3 0.41 83.77 430276 | 2 0.27 84.04 430277 | 2 0.27 84.31 430278 | 2 0.27 84.58 430279 | 2 0.27 84.86 430280 | 2 0.27 85.13 430281 | 2 0.27 85.40 430282 | 3 0.41 85.81 430283 | 2 0.27 86.08 430284 | 2 0.27 86.36 430285 | 1 0.14 86.49 430286 | 2 0.27 86.77 430287 | 2 0.27 87.04 430288 | 2 0.27 87.31 430289 | 1 0.14 87.45 430290 | 2 0.27 87.72 430291 | 2 0.27 87.99 430292 | 2 0.27 88.27 430293 | 2 0.27 88.54 430294 | 2 0.27 88.81 430295 | 4 0.55 89.36 430296 | 2 0.27 89.63 430297 | 2 0.27 89.90 430298 | 1 0.14 90.04 430299 | 4 0.55 90.59 430300 | 2 0.27 90.86 430301 | 3 0.41 91.27 430302 | 3 0.41 91.68 430303 | 3 0.41 92.09 430304 | 2 0.27 92.36 430305 | 1 0.14 92.50 430306 | 2 0.27 92.77 430307 | 2 0.27 93.04 430308 | 2 0.27 93.32 430309 | 2 0.27 93.59 430310 | 2 0.27 93.86 430311 | 2 0.27 94.13 430312 | 2 0.27 94.41 430313 | 3 0.41 94.82 430314 | 2 0.27 95.09 430315 | 1 0.14 95.23 430316 | 1 0.14 95.36 430317 | 2 0.27 95.63 430318 | 2 0.27 95.91 430319 | 1 0.14 96.04 430320 | 1 0.14 96.18 430321 | 1 0.14 96.32 430322 | 1 0.14 96.45 430323 | 1 0.14 96.59 430324 | 2 0.27 96.86 430325 | 1 0.14 97.00 430326 | 2 0.27 97.27 430327 | 3 0.41 97.68 430328 | 3 0.41 98.09 430329 | 3 0.41 98.50 430330 | 3 0.41 98.91 430331 | 2 0.27 99.18 430332 | 4 0.55 99.73 430333 | 2 0.27 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for ve_forms variable in person dataset : Number of | vehicle | forms | submitted | for MV in | transport | Freq. Percent Cum. ------------+----------------------------------- 1 | 430 58.66 58.66 2 | 238 32.47 91.13 3 | 41 5.59 96.73 4 | 24 3.27 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for veh_no variable in person dataset : Vehicle | Number | Freq. Percent Cum. ------------+----------------------------------- 0 | 130 17.74 17.74 1 | 442 60.30 78.04 2 | 135 18.42 96.45 3 | 20 2.73 99.18 4 | 6 0.82 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for per_no variable in person dataset : Person | Number | Freq. Percent Cum. ------------+----------------------------------- 1 | 568 77.49 77.49 2 | 105 14.32 91.81 3 | 32 4.37 96.18 4 | 16 2.18 98.36 5 | 7 0.95 99.32 6 | 4 0.55 99.86 7 | 1 0.14 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for n_mot_no variable in person dataset : Number Of | Motor | Vehicle | striking | Non-Motoris | t | Freq. Percent Cum. ------------+----------------------------------- 0 | 603 82.26 82.26 1 | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for county variable in person dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 733 100.00 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for day variable in person dataset : Crash Date | (DAY) | Freq. Percent Cum. ------------+----------------------------------- 1 | 23 3.14 3.14 2 | 21 2.86 6.00 3 | 13 1.77 7.78 4 | 23 3.14 10.91 5 | 31 4.23 15.14 6 | 12 1.64 16.78 7 | 28 3.82 20.60 8 | 26 3.55 24.15 9 | 10 1.36 25.51 10 | 30 4.09 29.60 11 | 18 2.46 32.06 12 | 46 6.28 38.34 13 | 34 4.64 42.97 14 | 16 2.18 45.16 15 | 26 3.55 48.70 16 | 29 3.96 52.66 17 | 15 2.05 54.71 18 | 29 3.96 58.66 19 | 23 3.14 61.80 20 | 30 4.09 65.89 21 | 26 3.55 69.44 22 | 28 3.82 73.26 23 | 20 2.73 75.99 24 | 26 3.55 79.54 25 | 25 3.41 82.95 26 | 29 3.96 86.90 27 | 17 2.32 89.22 28 | 29 3.96 93.18 29 | 25 3.41 96.59 30 | 15 2.05 98.64 31 | 10 1.36 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for month variable in person dataset : Crash Date | (MONTH) | Freq. Percent Cum. ------------+----------------------------------- 1 | 52 7.09 7.09 2 | 46 6.28 13.37 3 | 61 8.32 21.69 4 | 53 7.23 28.92 5 | 80 10.91 39.84 6 | 71 9.69 49.52 7 | 74 10.10 59.62 8 | 64 8.73 68.35 9 | 63 8.59 76.94 10 | 45 6.14 83.08 11 | 59 8.05 91.13 12 | 65 8.87 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for hour variable in person dataset : Crash Time | (HOUR) | Freq. Percent Cum. ------------+----------------------------------- 0 | 31 4.23 4.23 1 | 34 4.64 8.87 2 | 37 5.05 13.92 3 | 41 5.59 19.51 4 | 28 3.82 23.33 5 | 29 3.96 27.29 6 | 40 5.46 32.74 7 | 9 1.23 33.97 8 | 21 2.86 36.83 9 | 15 2.05 38.88 10 | 23 3.14 42.02 11 | 18 2.46 44.47 12 | 24 3.27 47.75 13 | 35 4.77 52.52 14 | 29 3.96 56.48 15 | 30 4.09 60.57 16 | 16 2.18 62.76 17 | 24 3.27 66.03 18 | 30 4.09 70.12 19 | 72 9.82 79.95 20 | 56 7.64 87.59 21 | 42 5.73 93.32 22 | 25 3.41 96.73 23 | 24 3.27 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for minute variable in person dataset : Crash Time | (MINUTE) | Freq. Percent Cum. ------------+----------------------------------- 0 | 81 11.05 11.05 1 | 3 0.41 11.46 2 | 2 0.27 11.73 3 | 2 0.27 12.01 4 | 1 0.14 12.14 5 | 19 2.59 14.73 6 | 3 0.41 15.14 7 | 2 0.27 15.42 9 | 3 0.41 15.83 10 | 40 5.46 21.28 11 | 9 1.23 22.51 13 | 7 0.95 23.47 15 | 72 9.82 33.29 16 | 6 0.82 34.11 17 | 3 0.41 34.52 18 | 2 0.27 34.79 19 | 4 0.55 35.33 20 | 50 6.82 42.16 23 | 2 0.27 42.43 24 | 2 0.27 42.70 25 | 18 2.46 45.16 26 | 3 0.41 45.57 28 | 2 0.27 45.84 29 | 5 0.68 46.52 30 | 90 12.28 58.80 31 | 5 0.68 59.48 33 | 3 0.41 59.89 35 | 25 3.41 63.30 36 | 7 0.95 64.26 38 | 2 0.27 64.53 40 | 59 8.05 72.58 42 | 6 0.82 73.40 43 | 2 0.27 73.67 45 | 79 10.78 84.45 47 | 4 0.55 84.99 49 | 5 0.68 85.68 50 | 64 8.73 94.41 51 | 2 0.27 94.68 52 | 2 0.27 94.95 53 | 8 1.09 96.04 55 | 15 2.05 98.09 57 | 2 0.27 98.36 58 | 6 0.82 99.18 59 | 6 0.82 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for road_fnc variable in person dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 72 9.82 9.82 2 | 61 8.32 18.14 3 | 103 14.05 32.20 4 | 48 6.55 38.74 5 | 10 1.36 40.11 6 | 46 6.28 46.38 11 | 70 9.55 55.93 12 | 29 3.96 59.89 13 | 88 12.01 71.90 14 | 90 12.28 84.17 15 | 61 8.32 92.50 16 | 55 7.50 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for harm_ev variable in person dataset : First | Harmful | Event | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.27 0.27 5 | 10 1.36 1.64 7 | 4 0.55 2.18 8 | 192 26.19 28.38 9 | 33 4.50 32.88 11 | 1 0.14 33.02 12 | 291 39.70 72.71 14 | 3 0.41 73.12 15 | 10 1.36 74.49 25 | 63 8.59 83.08 30 | 47 6.41 89.50 33 | 2 0.27 89.77 35 | 5 0.68 90.45 38 | 10 1.36 91.81 39 | 16 2.18 94.00 42 | 30 4.09 98.09 43 | 14 1.91 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for man_coll variable in person dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 0 | 442 60.30 60.30 1 | 51 6.96 67.26 2 | 71 9.69 76.94 6 | 123 16.78 93.72 7 | 16 2.18 95.91 8 | 30 4.09 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for sch_bus variable in person dataset : School Bus | Related | Freq. Percent Cum. ------------+----------------------------------- 0 | 733 100.00 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for make variable in person dataset : Vehicle | Make | Freq. Percent Cum. ------------+----------------------------------- 2 | 17 2.32 2.32 3 | 1 0.14 2.46 6 | 6 0.82 3.27 7 | 11 1.50 4.77 12 | 44 6.00 10.78 14 | 6 0.82 11.60 18 | 3 0.41 12.01 20 | 36 4.91 16.92 21 | 4 0.55 17.46 22 | 4 0.55 18.01 23 | 10 1.36 19.37 30 | 1 0.14 19.51 34 | 1 0.14 19.65 35 | 38 5.18 24.83 37 | 46 6.28 31.11 38 | 6 0.82 31.92 39 | 1 0.14 32.06 41 | 27 3.68 35.74 42 | 2 0.27 36.02 48 | 2 0.27 36.29 49 | 111 15.14 51.43 52 | 65 8.87 60.30 53 | 47 6.41 66.71 54 | 2 0.27 66.98 55 | 23 3.14 70.12 59 | 4 0.55 70.67 63 | 8 1.09 71.76 64 | 7 0.95 72.71 72 | 1 0.14 72.85 73 | 4 0.55 73.40 76 | 5 0.68 74.08 82 | 1 0.14 74.22 84 | 4 0.55 74.76 85 | 2 0.27 75.03 86 | 4 0.55 75.58 98 | 27 3.68 79.26 99 | 22 3.00 82.26 . | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for mak_mod variable in person dataset : Make Model | Combined | Freq. Percent Cum. ------------+----------------------------------- 2403 | 8 1.09 1.09 2404 | 3 0.41 1.50 2405 | 5 0.68 2.18 2482 | 1 0.14 2.32 3421 | 1 0.14 2.46 6016 | 1 0.14 2.59 6043 | 1 0.14 2.73 6421 | 3 0.41 3.14 6441 | 1 0.14 3.27 7020 | 1 0.14 3.41 7024 | 1 0.14 3.55 7403 | 1 0.14 3.68 7442 | 3 0.41 4.09 7472 | 1 0.14 4.23 7482 | 4 0.55 4.77 12003 | 1 0.14 4.91 12013 | 3 0.41 5.32 12016 | 1 0.14 5.46 12401 | 13 1.77 7.23 12461 | 9 1.23 8.46 12471 | 6 0.82 9.28 12481 | 6 0.82 10.10 12881 | 2 0.27 10.37 12899 | 3 0.41 10.78 14006 | 4 0.55 11.32 14399 | 2 0.27 11.60 18002 | 1 0.14 11.73 18020 | 2 0.27 12.01 20004 | 2 0.27 12.28 20016 | 5 0.68 12.96 20034 | 1 0.14 13.10 20037 | 1 0.14 13.23 20039 | 3 0.41 13.64 20399 | 1 0.14 13.78 20401 | 6 0.82 14.60 20441 | 7 0.95 15.55 20443 | 3 0.41 15.96 20461 | 2 0.27 16.23 20473 | 2 0.27 16.51 20481 | 2 0.27 16.78 20899 | 1 0.14 16.92 21001 | 2 0.27 17.19 21020 | 2 0.27 17.46 22018 | 1 0.14 17.60 22020 | 1 0.14 17.74 22441 | 2 0.27 18.01 23401 | 7 0.95 18.96 23461 | 1 0.14 19.10 23471 | 1 0.14 19.24 23481 | 1 0.14 19.37 30042 | 1 0.14 19.51 34401 | 1 0.14 19.65 35032 | 2 0.27 19.92 35033 | 3 0.41 20.33 35039 | 1 0.14 20.46 35043 | 15 2.05 22.51 35047 | 2 0.27 22.78 35048 | 1 0.14 22.92 35050 | 1 0.14 23.06 35401 | 9 1.23 24.28 35471 | 3 0.41 24.69 35472 | 1 0.14 24.83 37031 | 18 2.46 27.29 37032 | 18 2.46 29.74 37039 | 1 0.14 29.88 37421 | 1 0.14 30.01 37471 | 2 0.27 30.29 37703 | 1 0.14 30.42 37706 | 4 0.55 30.97 37709 | 1 0.14 31.11 38401 | 6 0.82 31.92 39032 | 1 0.14 32.06 41035 | 10 1.36 33.42 41037 | 1 0.14 33.56 41051 | 8 1.09 34.65 41052 | 3 0.41 35.06 41471 | 5 0.68 35.74 42399 | 2 0.27 36.02 48038 | 2 0.27 36.29 49032 | 24 3.27 39.56 49033 | 1 0.14 39.70 49038 | 16 2.18 41.88 49040 | 5 0.68 42.56 49045 | 5 0.68 43.25 49047 | 1 0.14 43.38 49049 | 2 0.27 43.66 49050 | 2 0.27 43.93 49051 | 29 3.96 47.89 49401 | 10 1.36 49.25 49402 | 2 0.27 49.52 49403 | 2 0.27 49.80 49421 | 1 0.14 49.93 49471 | 1 0.14 50.07 49472 | 6 0.82 50.89 49482 | 4 0.55 51.43 52035 | 27 3.68 55.12 52037 | 1 0.14 55.25 52040 | 1 0.14 55.39 52045 | 1 0.14 55.53 52046 | 10 1.36 56.89 52047 | 12 1.64 58.53 52401 | 10 1.36 59.89 52402 | 1 0.14 60.03 52471 | 2 0.27 60.30 53031 | 1 0.14 60.44 53032 | 3 0.41 60.85 53033 | 5 0.68 61.53 53040 | 3 0.41 61.94 53399 | 3 0.41 62.35 53401 | 4 0.55 62.89 53402 | 4 0.55 63.44 53404 | 9 1.23 64.67 53405 | 1 0.14 64.80 53705 | 1 0.14 64.94 53706 | 12 1.64 66.58 53709 | 1 0.14 66.71 54031 | 2 0.27 66.98 55032 | 6 0.82 67.80 55034 | 4 0.55 68.35 55035 | 1 0.14 68.49 55036 | 8 1.09 69.58 55401 | 4 0.55 70.12 59031 | 2 0.27 70.40 59035 | 1 0.14 70.53 59402 | 1 0.14 70.67 63031 | 5 0.68 71.35 63401 | 3 0.41 71.76 64031 | 5 0.68 72.44 64033 | 2 0.27 72.71 72709 | 1 0.14 72.85 73706 | 4 0.55 73.40 76709 | 5 0.68 74.08 82899 | 1 0.14 74.22 84881 | 1 0.14 74.35 84899 | 3 0.41 74.76 85881 | 1 0.14 74.90 85899 | 1 0.14 75.03 86899 | 4 0.55 75.58 98703 | 4 0.55 76.13 98709 | 19 2.59 78.72 98907 | 1 0.14 78.85 98988 | 3 0.41 79.26 99999 | 22 3.00 82.26 . | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for body_typ variable in person dataset : Body Type | Freq. Percent Cum. ------------+----------------------------------- 2 | 179 24.42 24.42 3 | 62 8.46 32.88 4 | 46 6.28 39.15 5 | 9 1.23 40.38 6 | 19 2.59 42.97 14 | 110 15.01 57.98 15 | 6 0.82 58.80 20 | 16 2.18 60.98 21 | 12 1.64 62.62 30 | 30 4.09 66.71 31 | 18 2.46 69.17 51 | 1 0.14 69.30 52 | 3 0.41 69.71 66 | 4 0.55 70.26 78 | 13 1.77 72.03 80 | 41 5.59 77.63 88 | 12 1.64 79.26 99 | 22 3.00 82.26 . | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for mod_year variable in person dataset : Vehicle | Model Year | Freq. Percent Cum. ------------+----------------------------------- 1978 | 1 0.14 0.14 1980 | 1 0.14 0.27 1982 | 5 0.68 0.95 1984 | 4 0.55 1.50 1985 | 4 0.55 2.05 1986 | 7 0.95 3.00 1987 | 8 1.09 4.09 1988 | 7 0.95 5.05 1989 | 9 1.23 6.28 1990 | 20 2.73 9.00 1991 | 5 0.68 9.69 1992 | 12 1.64 11.32 1993 | 19 2.59 13.92 1994 | 18 2.46 16.37 1995 | 34 4.64 21.01 1996 | 24 3.27 24.28 1997 | 24 3.27 27.56 1998 | 19 2.59 30.15 1999 | 23 3.14 33.29 2000 | 24 3.27 36.56 2001 | 35 4.77 41.34 2002 | 30 4.09 45.43 2003 | 30 4.09 49.52 2004 | 33 4.50 54.02 2005 | 43 5.87 59.89 2006 | 39 5.32 65.21 2007 | 31 4.23 69.44 2008 | 26 3.55 72.99 2009 | 28 3.82 76.81 2010 | 8 1.09 77.90 2011 | 1 0.14 78.04 9999 | 31 4.23 82.26 . | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for vintype variable in person dataset : VIN Vehicle | Type | Freq. Percent Cum. ------------+----------------------------------- | 130 17.74 17.74 M | 19 2.59 20.33 P | 229 31.24 51.57 T | 42 5.73 57.30 U | 313 42.70 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for vinmake variable in person dataset : VIN MAKE | Freq. Percent Cum. ------------+----------------------------------- | 445 60.71 60.71 BMW | 1 0.14 60.85 BUIC | 2 0.27 61.12 CHEV | 20 2.73 63.85 CHRY | 5 0.68 64.53 DAEW | 5 0.68 65.21 DATS | 3 0.41 65.62 DODG | 3 0.41 66.03 FORD | 22 3.00 69.03 FRHT | 1 0.14 69.17 GMC | 1 0.14 69.30 HOND | 29 3.96 73.26 HYUN | 17 2.32 75.58 INTL | 1 0.14 75.72 ISU | 2 0.27 75.99 JAGU | 1 0.14 76.13 JEEP | 4 0.55 76.67 KAWK | 1 0.14 76.81 KIA | 5 0.68 77.49 KW | 1 0.14 77.63 LEXS | 3 0.41 78.04 MACK | 3 0.41 78.44 MAZD | 15 2.05 80.49 MERZ | 2 0.27 80.76 MITS | 33 4.50 85.27 NISS | 18 2.46 87.72 OLDS | 3 0.41 88.13 PONT | 1 0.14 88.27 SUBA | 2 0.27 88.54 SUZI | 32 4.37 92.91 TOYT | 47 6.41 99.32 VOLK | 1 0.14 99.45 YAMA | 4 0.55 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for vina_mod variable in person dataset : VIN model | Freq. Percent Cum. ------------+----------------------------------- | 450 61.39 61.39 26E | 2 0.27 61.66 2DL | 3 0.41 62.07 3CP | 1 0.14 62.21 3SD | 1 0.14 62.35 430 | 1 0.14 62.48 5RC | 1 0.14 62.62 A18 | 2 0.27 62.89 ABE | 1 0.14 63.03 ABL | 2 0.27 63.30 ABS | 3 0.41 63.71 ACL | 1 0.14 63.85 AER | 3 0.41 64.26 AEX | 2 0.27 64.53 AGS | 3 0.41 64.94 ARB | 2 0.27 65.21 ASG | 1 0.14 65.35 ASP | 3 0.41 65.76 AST | 3 0.41 66.17 ASX | 1 0.14 66.30 AXL | 4 0.55 66.85 BRO | 1 0.14 66.98 BX5 | 1 0.14 67.12 BZR | 1 0.14 67.26 CAR | 1 0.14 67.39 CAV | 3 0.41 67.80 CB9 | 1 0.14 67.94 CBA | 1 0.14 68.08 CBL | 2 0.27 68.35 CBS | 2 0.27 68.62 CCL | 2 0.27 68.89 CDF | 2 0.27 69.17 CEX | 1 0.14 69.30 CH6 | 1 0.14 69.44 CID | 2 0.27 69.71 CLE | 1 0.14 69.85 CLL | 1 0.14 69.99 CLX | 2 0.27 70.26 COX | 1 0.14 70.40 CRL | 1 0.14 70.53 CSD | 1 0.14 70.67 CSU | 1 0.14 70.80 CTL | 1 0.14 70.94 CTR | 1 0.14 71.08 CVT | 2 0.27 71.35 CYR | 5 0.68 72.03 DCP | 1 0.14 72.17 DIA | 1 0.14 72.31 E33 | 2 0.27 72.58 ECH | 1 0.14 72.71 EGL | 4 0.55 73.26 EGS | 1 0.14 73.40 ELX | 2 0.27 73.67 END | 1 0.14 73.81 EPR | 9 1.23 75.03 ESP | 1 0.14 75.17 EXC | 1 0.14 75.31 EXP | 1 0.14 75.44 F15 | 1 0.14 75.58 F2S | 1 0.14 75.72 F35 | 1 0.14 75.85 FIS | 1 0.14 75.99 FLD | 1 0.14 76.13 FSD | 2 0.27 76.40 G13 | 1 0.14 76.53 GAS | 1 0.14 76.67 GPG | 1 0.14 76.81 GSK | 1 0.14 76.94 GV6 | 1 0.14 77.08 GVT | 10 1.36 78.44 GX7 | 1 0.14 78.58 GXR | 1 0.14 78.72 HIG | 2 0.27 78.99 IR4 | 2 0.27 79.26 LDE | 1 0.14 79.40 LES | 1 0.14 79.54 LGT | 1 0.14 79.67 LLF | 1 0.14 79.81 LNS | 3 0.41 80.22 LRL | 1 0.14 80.35 M3I | 2 0.27 80.63 MA2 | 1 0.14 80.76 MCS | 1 0.14 80.90 MDE | 1 0.14 81.04 MEL | 1 0.14 81.17 MIS | 5 0.68 81.86 MLS | 5 0.68 82.54 MNS | 2 0.27 82.81 MON | 1 0.14 82.95 MPR | 1 0.14 83.08 N8M | 1 0.14 83.22 NLE | 1 0.14 83.36 OUT | 5 0.68 84.04 PCS | 2 0.27 84.31 PDX | 5 0.68 84.99 PFI | 6 0.82 85.81 PMN | 1 0.14 85.95 PMS | 1 0.14 86.08 PPF | 1 0.14 86.22 PSE | 4 0.55 86.77 PYR | 1 0.14 86.90 R60 | 2 0.27 87.18 RDO | 2 0.27 87.45 REG | 2 0.27 87.72 RG4 | 1 0.14 87.86 RGC | 4 0.55 88.40 RK6 | 1 0.14 88.54 RLG | 2 0.27 88.81 RNG | 2 0.27 89.09 RNS | 2 0.27 89.36 RTL | 1 0.14 89.50 RUN | 3 0.41 89.90 RV4 | 1 0.14 90.04 S14 | 1 0.14 90.18 S18 | 2 0.27 90.45 SAN | 3 0.41 90.86 SAW | 2 0.27 91.13 SEN | 1 0.14 91.27 SLS | 2 0.27 91.54 SLX | 1 0.14 91.68 SMR | 1 0.14 91.81 SON | 1 0.14 91.95 SPO | 3 0.41 92.36 SPR | 2 0.27 92.63 SQ2 | 1 0.14 92.77 SSE | 1 0.14 92.91 SUS | 1 0.14 93.04 SX4 | 1 0.14 93.18 SX7 | 1 0.14 93.32 SXS | 1 0.14 93.45 TCE | 1 0.14 93.59 TDX | 4 0.55 94.13 TER | 3 0.41 94.54 TRL | 2 0.27 94.82 TRO | 2 0.27 95.09 TT5 | 2 0.27 95.36 TTX | 1 0.14 95.50 TXE | 1 0.14 95.63 U6X | 1 0.14 95.77 UAX | 1 0.14 95.91 UCD | 2 0.27 96.18 UCS | 3 0.41 96.59 UDX | 1 0.14 96.73 UEX | 1 0.14 96.86 ULX | 1 0.14 97.00 UVL | 1 0.14 97.14 UXS | 1 0.14 97.27 VDP | 1 0.14 97.41 VTR | 3 0.41 97.82 X4A | 1 0.14 97.95 XLL | 1 0.14 98.09 XR1 | 4 0.55 98.64 XSC | 1 0.14 98.77 YAR | 5 0.68 99.45 YFR | 4 0.55 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for vin_bt variable in person dataset : VIN Body | Type | Freq. Percent Cum. ------------+----------------------------------- | 448 61.12 61.12 2D | 11 1.50 62.62 2H | 11 1.50 64.12 2W | 2 0.27 64.39 3C | 1 0.14 64.53 4C | 3 0.41 64.94 4D | 108 14.73 79.67 4H | 4 0.55 80.22 4P | 1 0.14 80.35 4W | 2 0.27 80.63 CB | 3 0.41 81.04 CC | 2 0.27 81.31 CP | 21 2.86 84.17 CW | 6 0.82 84.99 DS | 4 0.55 85.54 EC | 1 0.14 85.68 ES | 3 0.41 86.08 PC | 1 0.14 86.22 PK | 11 1.50 87.72 PS | 2 0.27 87.99 RS | 17 2.32 90.31 SV | 4 0.55 90.86 SW | 3 0.41 91.27 UT | 64 8.73 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for vinmodyr variable in person dataset : VIN Model | Year | Freq. Percent Cum. ------------+----------------------------------- 0 | 13 1.77 1.77 1 | 22 3.00 4.77 2 | 13 1.77 6.55 3 | 16 2.18 8.73 4 | 22 3.00 11.73 5 | 19 2.59 14.32 6 | 19 2.59 16.92 7 | 15 2.05 18.96 8 | 17 2.32 21.28 9 | 306 41.75 63.03 10 | 7 0.95 63.98 11 | 1 0.14 64.12 82 | 5 0.68 64.80 84 | 4 0.55 65.35 85 | 1 0.14 65.48 86 | 2 0.27 65.76 87 | 3 0.41 66.17 88 | 3 0.41 66.58 89 | 5 0.68 67.26 90 | 7 0.95 68.21 91 | 3 0.41 68.62 92 | 10 1.36 69.99 93 | 6 0.82 70.80 94 | 12 1.64 72.44 95 | 19 2.59 75.03 96 | 8 1.09 76.13 97 | 10 1.36 77.49 98 | 11 1.50 78.99 99 | 20 2.73 81.72 . | 134 18.28 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for vin_lngt variable in person dataset : VIN length | Freq. Percent Cum. ------------+----------------------------------- 17 | 601 81.99 81.99 . | 132 18.01 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for vin_wgt variable in person dataset : Curb Weight | Freq. Percent Cum. ------------+----------------------------------- 0 | 32 4.37 4.37 1894 | 1 0.14 4.50 2000 | 2 0.27 4.77 2005 | 4 0.55 5.32 2010 | 1 0.14 5.46 2011 | 3 0.41 5.87 2020 | 1 0.14 6.00 2025 | 1 0.14 6.14 2072 | 2 0.27 6.41 2088 | 1 0.14 6.55 2105 | 4 0.55 7.09 2106 | 1 0.14 7.23 2147 | 1 0.14 7.37 2168 | 2 0.27 7.64 2183 | 2 0.27 7.91 2224 | 4 0.55 8.46 2225 | 3 0.41 8.87 2249 | 1 0.14 9.00 2250 | 1 0.14 9.14 2256 | 2 0.27 9.41 2257 | 2 0.27 9.69 2266 | 2 0.27 9.96 2271 | 2 0.27 10.23 2280 | 2 0.27 10.50 2288 | 3 0.41 10.91 2293 | 4 0.55 11.46 2295 | 1 0.14 11.60 2306 | 1 0.14 11.73 2314 | 1 0.14 11.87 2338 | 2 0.27 12.14 2365 | 3 0.41 12.55 2387 | 2 0.27 12.82 2388 | 1 0.14 12.96 2392 | 1 0.14 13.10 2407 | 2 0.27 13.37 2414 | 1 0.14 13.51 2415 | 1 0.14 13.64 2425 | 2 0.27 13.92 2520 | 1 0.14 14.05 2522 | 1 0.14 14.19 2530 | 3 0.41 14.60 2553 | 1 0.14 14.73 2585 | 1 0.14 14.87 2596 | 1 0.14 15.01 2617 | 3 0.41 15.42 2661 | 2 0.27 15.69 2668 | 1 0.14 15.83 2676 | 1 0.14 15.96 2679 | 1 0.14 16.10 2714 | 1 0.14 16.23 2723 | 2 0.27 16.51 2733 | 1 0.14 16.64 2734 | 1 0.14 16.78 2745 | 2 0.27 17.05 2780 | 2 0.27 17.33 2798 | 1 0.14 17.46 2840 | 2 0.27 17.74 2853 | 1 0.14 17.87 2855 | 1 0.14 18.01 2922 | 2 0.27 18.28 2923 | 3 0.41 18.69 2948 | 1 0.14 18.83 2993 | 1 0.14 18.96 3004 | 1 0.14 19.10 3031 | 1 0.14 19.24 3049 | 1 0.14 19.37 3053 | 1 0.14 19.51 3064 | 3 0.41 19.92 3071 | 1 0.14 20.05 3086 | 1 0.14 20.19 3100 | 2 0.27 20.46 3102 | 2 0.27 20.74 3108 | 1 0.14 20.87 3132 | 1 0.14 21.01 3186 | 2 0.27 21.28 3240 | 4 0.55 21.83 3263 | 1 0.14 21.96 3280 | 1 0.14 22.10 3300 | 1 0.14 22.24 3321 | 1 0.14 22.37 3329 | 1 0.14 22.51 3331 | 2 0.27 22.78 3354 | 1 0.14 22.92 3460 | 2 0.27 23.19 3477 | 1 0.14 23.33 3494 | 3 0.41 23.74 3505 | 8 1.09 24.83 3565 | 1 0.14 24.97 3566 | 1 0.14 25.10 3582 | 1 0.14 25.24 3583 | 4 0.55 25.78 3591 | 1 0.14 25.92 3638 | 1 0.14 26.06 3660 | 2 0.27 26.33 3671 | 1 0.14 26.47 3699 | 3 0.41 26.88 3720 | 1 0.14 27.01 3737 | 2 0.27 27.29 3755 | 2 0.27 27.56 3815 | 1 0.14 27.69 3845 | 2 0.27 27.97 3847 | 1 0.14 28.10 3891 | 1 0.14 28.24 3975 | 1 0.14 28.38 4045 | 1 0.14 28.51 4146 | 2 0.27 28.79 4166 | 1 0.14 28.92 4240 | 1 0.14 29.06 4242 | 1 0.14 29.20 4349 | 1 0.14 29.33 4417 | 1 0.14 29.47 4436 | 1 0.14 29.60 4442 | 1 0.14 29.74 4516 | 1 0.14 29.88 4566 | 1 0.14 30.01 4762 | 3 0.41 30.42 4871 | 1 0.14 30.56 4916 | 1 0.14 30.70 . | 508 69.30 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for wgtcd_tr variable in person dataset : Truck | Weight | Rating | Freq. Percent Cum. ------------+----------------------------------- 1 | 25 3.41 3.41 2 | 8 1.09 4.50 3 | 1 0.14 4.64 4 | 2 0.27 4.91 6 | 1 0.14 5.05 7 | 1 0.14 5.18 8 | 5 0.68 5.87 . | 690 94.13 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for whlbs_lg variable in person dataset : Wheelbase | long | Freq. Percent Cum. ------------+----------------------------------- 0 | 253 34.52 34.52 1139 | 2 0.27 34.79 1175 | 2 0.27 35.06 1179 | 1 0.14 35.20 1571 | 1 0.14 35.33 1605 | 1 0.14 35.47 1610 | 3 0.41 35.88 1724 | 1 0.14 36.02 2220 | 1 0.14 36.15 2400 | 1 0.14 36.29 . | 467 63.71 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for whlbs_sh variable in person dataset : Wheelbase | short | Freq. Percent Cum. ------------+----------------------------------- 0 | 14 1.91 1.91 799 | 1 0.14 2.05 921 | 3 0.41 2.46 931 | 1 0.14 2.59 934 | 3 0.41 3.00 937 | 9 1.23 4.23 938 | 7 0.95 5.18 945 | 4 0.55 5.73 949 | 1 0.14 5.87 951 | 5 0.68 6.55 956 | 1 0.14 6.68 957 | 4 0.55 7.23 961 | 2 0.27 7.50 965 | 2 0.27 7.78 969 | 5 0.68 8.46 970 | 1 0.14 8.59 974 | 1 0.14 8.73 976 | 12 1.64 10.37 980 | 3 0.41 10.78 984 | 20 2.73 13.51 988 | 1 0.14 13.64 992 | 5 0.68 14.32 998 | 3 0.41 14.73 1004 | 1 0.14 14.87 1013 | 1 0.14 15.01 1024 | 9 1.23 16.23 1031 | 4 0.55 16.78 1032 | 7 0.95 17.74 1033 | 8 1.09 18.83 1037 | 2 0.27 19.10 1039 | 10 1.36 20.46 1041 | 3 0.41 20.87 1043 | 9 1.23 22.10 1047 | 1 0.14 22.24 1049 | 1 0.14 22.37 1050 | 1 0.14 22.51 1051 | 3 0.41 22.92 1053 | 1 0.14 23.06 1063 | 5 0.68 23.74 1069 | 4 0.55 24.28 1070 | 1 0.14 24.42 1071 | 9 1.23 25.65 1072 | 1 0.14 25.78 1073 | 4 0.55 26.33 1075 | 2 0.27 26.60 1079 | 4 0.55 27.15 1080 | 1 0.14 27.29 1081 | 1 0.14 27.42 1083 | 2 0.27 27.69 1088 | 1 0.14 27.83 1090 | 1 0.14 27.97 1095 | 1 0.14 28.10 1098 | 2 0.27 28.38 1102 | 7 0.95 29.33 1105 | 1 0.14 29.47 1110 | 2 0.27 29.74 1112 | 2 0.27 30.01 1115 | 3 0.41 30.42 1116 | 7 0.95 31.38 1120 | 3 0.41 31.79 1122 | 2 0.27 32.06 1130 | 2 0.27 32.33 1133 | 1 0.14 32.47 1137 | 1 0.14 32.61 1155 | 1 0.14 32.74 1161 | 1 0.14 32.88 1191 | 3 0.41 33.29 1200 | 1 0.14 33.42 1219 | 1 0.14 33.56 1220 | 1 0.14 33.70 1229 | 1 0.14 33.83 1257 | 3 0.41 34.24 1259 | 1 0.14 34.38 1260 | 2 0.27 34.65 1283 | 2 0.27 34.92 1305 | 1 0.14 35.06 1330 | 1 0.14 35.20 1370 | 2 0.27 35.47 1380 | 3 0.41 35.88 1385 | 1 0.14 36.02 1405 | 1 0.14 36.15 1562 | 1 0.14 36.29 . | 467 63.71 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for ser_tr variable in person dataset : VIN Truck | series | Freq. Percent Cum. ------------+----------------------------------- | 690 94.13 94.13 40S | 1 0.14 94.27 600 | 3 0.41 94.68 AST | 3 0.41 95.09 B23 | 3 0.41 95.50 B25 | 1 0.14 95.63 B30 | 1 0.14 95.77 CAL | 2 0.27 96.04 COF | 4 0.55 96.59 CON | 3 0.41 97.00 FRT | 1 0.14 97.14 LIB | 2 0.27 97.41 RID | 2 0.27 97.68 RNG | 4 0.55 98.23 RPC | 1 0.14 98.36 S | 1 0.14 98.50 SON | 1 0.14 98.64 SRW | 1 0.14 98.77 TAC | 3 0.41 99.18 TRK | 1 0.14 99.32 TUN | 2 0.27 99.59 VAN | 1 0.14 99.73 W/T | 2 0.27 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for fuelcode variable in person dataset : Fuel Code | Freq. Percent Cum. ------------+----------------------------------- | 465 63.44 63.44 D | 11 1.50 64.94 F | 3 0.41 65.35 G | 254 34.65 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for mcycl_ds variable in person dataset : Motorcycle | Engine | Displacemen | t (CC) | Freq. Percent Cum. ------------+----------------------------------- 599 | 1 0.14 0.14 749 | 1 0.14 0.27 750 | 1 0.14 0.41 919 | 1 0.14 0.55 988 | 4 0.55 1.09 998 | 6 0.82 1.91 1298 | 2 0.27 2.18 1352 | 1 0.14 2.32 . | 716 97.68 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for tow_veh variable in person dataset : Vehicle | Trailing | Freq. Percent Cum. ------------+----------------------------------- 0 | 582 79.40 79.40 9 | 21 2.86 82.26 . | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for spec_use variable in person dataset : Special Use | Freq. Percent Cum. ------------+----------------------------------- 0 | 583 79.54 79.54 99 | 20 2.73 82.26 . | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for emer_use variable in person dataset : Emergency | Use | Freq. Percent Cum. ------------+----------------------------------- 0 | 584 79.67 79.67 9 | 19 2.59 82.26 . | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for rollover variable in person dataset : Rollover | Type | Freq. Percent Cum. ------------+----------------------------------- 0 | 567 77.35 77.35 2 | 32 4.37 81.72 9 | 4 0.55 82.26 . | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for impact1 variable in person dataset : Area of | Impact- | Initial | Damaged | Freq. Percent Cum. ------------+----------------------------------- 0 | 16 2.18 2.18 1 | 21 2.86 5.05 2 | 14 1.91 6.96 3 | 61 8.32 15.28 5 | 2 0.27 15.55 6 | 35 4.77 20.33 7 | 7 0.95 21.28 9 | 53 7.23 28.51 10 | 16 2.18 30.70 11 | 18 2.46 33.15 12 | 360 49.11 82.26 . | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for impact2 variable in person dataset : Area of | Impact- | Most | Damaged | Freq. Percent Cum. ------------+----------------------------------- 0 | 18 2.46 2.46 1 | 20 2.73 5.18 2 | 5 0.68 5.87 3 | 53 7.23 13.10 5 | 3 0.41 13.51 6 | 27 3.68 17.19 7 | 7 0.95 18.14 9 | 56 7.64 25.78 10 | 14 1.91 27.69 11 | 14 1.91 29.60 12 | 355 48.43 78.04 13 | 30 4.09 82.13 99 | 1 0.14 82.26 . | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for fire_exp variable in person dataset : Fire | Occurrence | Freq. Percent Cum. ------------+----------------------------------- 0 | 599 81.72 81.72 1 | 4 0.55 82.26 . | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for age variable in person dataset : Age | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 0.14 0.14 1 | 1 0.14 0.27 2 | 2 0.27 0.55 3 | 6 0.82 1.36 4 | 3 0.41 1.77 5 | 3 0.41 2.18 6 | 2 0.27 2.46 7 | 1 0.14 2.59 8 | 2 0.27 2.86 9 | 2 0.27 3.14 11 | 1 0.14 3.27 12 | 3 0.41 3.68 13 | 2 0.27 3.96 14 | 1 0.14 4.09 15 | 5 0.68 4.77 16 | 12 1.64 6.41 17 | 10 1.36 7.78 18 | 18 2.46 10.23 19 | 22 3.00 13.23 20 | 16 2.18 15.42 21 | 25 3.41 18.83 22 | 18 2.46 21.28 23 | 25 3.41 24.69 24 | 25 3.41 28.10 25 | 22 3.00 31.11 26 | 18 2.46 33.56 27 | 9 1.23 34.79 28 | 18 2.46 37.24 29 | 15 2.05 39.29 30 | 15 2.05 41.34 31 | 16 2.18 43.52 32 | 14 1.91 45.43 33 | 13 1.77 47.20 34 | 7 0.95 48.16 35 | 13 1.77 49.93 36 | 13 1.77 51.71 37 | 6 0.82 52.52 38 | 10 1.36 53.89 39 | 5 0.68 54.57 40 | 7 0.95 55.53 41 | 8 1.09 56.62 42 | 8 1.09 57.71 43 | 10 1.36 59.07 44 | 7 0.95 60.03 45 | 9 1.23 61.26 46 | 7 0.95 62.21 47 | 8 1.09 63.30 48 | 7 0.95 64.26 49 | 13 1.77 66.03 50 | 10 1.36 67.39 51 | 11 1.50 68.89 52 | 11 1.50 70.40 53 | 13 1.77 72.17 54 | 11 1.50 73.67 55 | 4 0.55 74.22 56 | 8 1.09 75.31 57 | 8 1.09 76.40 58 | 9 1.23 77.63 59 | 7 0.95 78.58 60 | 6 0.82 79.40 61 | 6 0.82 80.22 62 | 11 1.50 81.72 63 | 5 0.68 82.40 64 | 6 0.82 83.22 65 | 9 1.23 84.45 66 | 11 1.50 85.95 67 | 4 0.55 86.49 68 | 8 1.09 87.59 69 | 5 0.68 88.27 70 | 1 0.14 88.40 71 | 5 0.68 89.09 72 | 3 0.41 89.50 73 | 4 0.55 90.04 74 | 2 0.27 90.31 75 | 5 0.68 91.00 76 | 3 0.41 91.41 77 | 6 0.82 92.22 78 | 1 0.14 92.36 79 | 1 0.14 92.50 80 | 3 0.41 92.91 81 | 3 0.41 93.32 84 | 1 0.14 93.45 86 | 1 0.14 93.59 90 | 1 0.14 93.72 92 | 1 0.14 93.86 999 | 45 6.14 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for sex variable in person dataset : Sex | Freq. Percent Cum. ------------+----------------------------------- 1 | 540 73.67 73.67 2 | 170 23.19 96.86 9 | 23 3.14 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for per_typ variable in person dataset : Person Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 447 60.98 60.98 2 | 156 21.28 82.26 5 | 109 14.87 97.14 6 | 16 2.18 99.32 8 | 5 0.68 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for inj_sev variable in person dataset : Injury | Severity | Freq. Percent Cum. ------------+----------------------------------- 0 | 168 22.92 22.92 2 | 115 15.69 38.61 3 | 110 15.01 53.62 4 | 340 46.38 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for seat_pos variable in person dataset : Seating | Position | Freq. Percent Cum. ------------+----------------------------------- 0 | 130 17.74 17.74 11 | 447 60.98 78.72 13 | 95 12.96 91.68 21 | 28 3.82 95.50 22 | 11 1.50 97.00 23 | 14 1.91 98.91 28 | 3 0.41 99.32 31 | 1 0.14 99.45 33 | 1 0.14 99.59 52 | 3 0.41 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for rest_use variable in person dataset : Restraint | System/Helm | et Use | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 0.14 0.14 2 | 11 1.50 1.64 3 | 289 39.43 41.06 4 | 1 0.14 41.20 5 | 9 1.23 42.43 7 | 224 30.56 72.99 17 | 44 6.00 78.99 96 | 130 17.74 96.73 99 | 24 3.27 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for rest_mis variable in person dataset : Any | Indication | of Mis-Use | of | Restraint | System/Helm | et Use | Freq. Percent Cum. ------------+----------------------------------- 0 | 603 82.26 82.26 8 | 130 17.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for air_bag variable in person dataset : Air Bag | Deployed | Freq. Percent Cum. ------------+----------------------------------- 0 | 223 30.42 30.42 1 | 12 1.64 32.06 20 | 344 46.93 78.99 97 | 130 17.74 96.73 99 | 24 3.27 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for ejection variable in person dataset : Ejection | Freq. Percent Cum. ------------+----------------------------------- 0 | 507 69.17 69.17 1 | 19 2.59 71.76 8 | 183 24.97 96.73 9 | 24 3.27 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for ej_path variable in person dataset : Ejection | Path | Freq. Percent Cum. ------------+----------------------------------- 0 | 690 94.13 94.13 1 | 19 2.59 96.73 9 | 24 3.27 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for extricat variable in person dataset : Extrication | Freq. Percent Cum. ------------+----------------------------------- 0 | 709 96.73 96.73 9 | 24 3.27 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for drinking variable in person dataset : Police | Reported | Alcohol | Involvement | Freq. Percent Cum. ------------+----------------------------------- 0 | 171 23.33 23.33 1 | 47 6.41 29.74 8 | 515 70.26 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for alc_det variable in person dataset : Method of | alcohol | determinati | on by | police | Freq. Percent Cum. ------------+----------------------------------- 1 | 73 9.96 9.96 2 | 145 19.78 29.74 9 | 515 70.26 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for alc_status variable in person dataset : Alcohol | Test- | Status | Freq. Percent Cum. ------------+----------------------------------- 0 | 253 34.52 34.52 2 | 480 65.48 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for atst_typ variable in person dataset : Alcohol | Test- Type | Freq. Percent Cum. ------------+----------------------------------- 0 | 253 34.52 34.52 1 | 346 47.20 81.72 2 | 134 18.28 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for alc_res variable in person dataset : Alcohol | Test- | Result | Freq. Percent Cum. ------------+----------------------------------- 0 | 335 45.70 45.70 1 | 2 0.27 45.98 2 | 5 0.68 46.66 3 | 8 1.09 47.75 4 | 5 0.68 48.43 5 | 3 0.41 48.84 6 | 4 0.55 49.39 7 | 7 0.95 50.34 8 | 8 1.09 51.43 9 | 4 0.55 51.98 10 | 8 1.09 53.07 11 | 3 0.41 53.48 12 | 6 0.82 54.30 13 | 5 0.68 54.98 14 | 4 0.55 55.53 15 | 5 0.68 56.21 16 | 2 0.27 56.48 17 | 7 0.95 57.44 18 | 3 0.41 57.84 19 | 4 0.55 58.39 20 | 5 0.68 59.07 21 | 4 0.55 59.62 22 | 1 0.14 59.75 23 | 4 0.55 60.30 24 | 6 0.82 61.12 25 | 1 0.14 61.26 26 | 2 0.27 61.53 27 | 3 0.41 61.94 28 | 1 0.14 62.07 29 | 2 0.27 62.35 30 | 2 0.27 62.62 31 | 2 0.27 62.89 32 | 2 0.27 63.17 33 | 5 0.68 63.85 96 | 253 34.52 98.36 97 | 12 1.64 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for drugs variable in person dataset : Police | Reported | Drug | Involvement | Freq. Percent Cum. ------------+----------------------------------- 8 | 733 100.00 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for drug_det variable in person dataset : Method of | Drug | determinati | on by | police | Freq. Percent Cum. ------------+----------------------------------- 8 | 733 100.00 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for dstatus variable in person dataset : Drug Test | -Status | Freq. Percent Cum. ------------+----------------------------------- 0 | 471 64.26 64.26 2 | 262 35.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for drugtst1 variable in person dataset : Drug Test | -Type (1) | Freq. Percent Cum. ------------+----------------------------------- 0 | 471 64.26 64.26 1 | 262 35.74 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for drugtst2 variable in person dataset : Drug Test | -Type (2) | Freq. Percent Cum. ------------+----------------------------------- 0 | 728 99.32 99.32 1 | 4 0.55 99.86 2 | 1 0.14 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for drugtst3 variable in person dataset : Drug Test | -Type (3) | Freq. Percent Cum. ------------+----------------------------------- 0 | 733 100.00 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for drugres1 variable in person dataset : Drug Test- | Result (1) | Freq. Percent Cum. ------------+----------------------------------- 0 | 471 64.26 64.26 1 | 232 31.65 95.91 117 | 1 0.14 96.04 177 | 10 1.36 97.41 407 | 18 2.46 99.86 695 | 1 0.14 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for drugres2 variable in person dataset : Drug Test- | Result (2) | Freq. Percent Cum. ------------+----------------------------------- 0 | 728 99.32 99.32 117 | 1 0.14 99.45 177 | 1 0.14 99.59 187 | 1 0.14 99.73 695 | 2 0.27 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for drugres3 variable in person dataset : Drug Test- | Result (3) | Freq. Percent Cum. ------------+----------------------------------- 0 | 733 100.00 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for hospital variable in person dataset : Transported | to Medical | Facility By | Freq. Percent Cum. ------------+----------------------------------- 0 | 357 48.70 48.70 4 | 366 49.93 98.64 5 | 10 1.36 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for doa variable in person dataset : Died at | scene/en | route | Freq. Percent Cum. ------------+----------------------------------- 0 | 550 75.03 75.03 7 | 183 24.97 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for death_da variable in person dataset : Death Date | (DAY) | Freq. Percent Cum. ------------+----------------------------------- 1 | 11 1.50 1.50 2 | 12 1.64 3.14 3 | 9 1.23 4.37 4 | 11 1.50 5.87 5 | 11 1.50 7.37 6 | 9 1.23 8.59 7 | 14 1.91 10.50 8 | 12 1.64 12.14 9 | 5 0.68 12.82 10 | 12 1.64 14.46 11 | 9 1.23 15.69 12 | 16 2.18 17.87 13 | 11 1.50 19.37 14 | 6 0.82 20.19 15 | 12 1.64 21.83 16 | 11 1.50 23.33 17 | 11 1.50 24.83 18 | 10 1.36 26.19 19 | 10 1.36 27.56 20 | 16 2.18 29.74 21 | 12 1.64 31.38 22 | 11 1.50 32.88 23 | 13 1.77 34.65 24 | 12 1.64 36.29 25 | 12 1.64 37.93 26 | 8 1.09 39.02 27 | 9 1.23 40.25 28 | 16 2.18 42.43 29 | 11 1.50 43.93 30 | 11 1.50 45.43 31 | 7 0.95 46.38 88 | 393 53.62 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for death_mo variable in person dataset : Death Date | (MONTH) | Freq. Percent Cum. ------------+----------------------------------- 1 | 26 3.55 3.55 2 | 23 3.14 6.68 3 | 30 4.09 10.78 4 | 25 3.41 14.19 5 | 35 4.77 18.96 6 | 30 4.09 23.06 7 | 33 4.50 27.56 8 | 26 3.55 31.11 9 | 28 3.82 34.92 10 | 23 3.14 38.06 11 | 29 3.96 42.02 12 | 32 4.37 46.38 88 | 393 53.62 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for death_yr variable in person dataset : Death Date | (YEAR) | Freq. Percent Cum. ------------+----------------------------------- 2010 | 339 46.25 46.25 2011 | 1 0.14 46.38 8888 | 393 53.62 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for death_hr variable in person dataset : Death Time | (HOUR) | Freq. Percent Cum. ------------+----------------------------------- 0 | 16 2.18 2.18 1 | 21 2.86 5.05 2 | 17 2.32 7.37 3 | 19 2.59 9.96 4 | 16 2.18 12.14 5 | 9 1.23 13.37 6 | 12 1.64 15.01 7 | 13 1.77 16.78 8 | 6 0.82 17.60 9 | 11 1.50 19.10 10 | 10 1.36 20.46 11 | 5 0.68 21.15 12 | 11 1.50 22.65 13 | 16 2.18 24.83 14 | 16 2.18 27.01 15 | 12 1.64 28.65 16 | 11 1.50 30.15 17 | 11 1.50 31.65 18 | 17 2.32 33.97 19 | 22 3.00 36.97 20 | 23 3.14 40.11 21 | 15 2.05 42.16 22 | 20 2.73 44.88 23 | 11 1.50 46.38 88 | 393 53.62 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for death_mn variable in person dataset : Death Time | (MINUTES) | Freq. Percent Cum. ------------+----------------------------------- 0 | 81 11.05 11.05 1 | 3 0.41 11.46 2 | 1 0.14 11.60 3 | 1 0.14 11.73 4 | 1 0.14 11.87 5 | 7 0.95 12.82 6 | 1 0.14 12.96 9 | 2 0.27 13.23 10 | 22 3.00 16.23 11 | 1 0.14 16.37 13 | 3 0.41 16.78 14 | 1 0.14 16.92 15 | 26 3.55 20.46 16 | 3 0.41 20.87 17 | 1 0.14 21.01 18 | 1 0.14 21.15 19 | 2 0.27 21.42 20 | 26 3.55 24.97 22 | 2 0.27 25.24 23 | 2 0.27 25.51 24 | 1 0.14 25.65 25 | 5 0.68 26.33 26 | 2 0.27 26.60 28 | 2 0.27 26.88 30 | 40 5.46 32.33 31 | 2 0.27 32.61 33 | 1 0.14 32.74 35 | 8 1.09 33.83 36 | 2 0.27 34.11 38 | 1 0.14 34.24 40 | 23 3.14 37.38 42 | 2 0.27 37.65 45 | 23 3.14 40.79 46 | 1 0.14 40.93 47 | 4 0.55 41.47 48 | 1 0.14 41.61 49 | 1 0.14 41.75 50 | 20 2.73 44.47 51 | 1 0.14 44.61 52 | 1 0.14 44.75 53 | 3 0.41 45.16 55 | 5 0.68 45.84 57 | 1 0.14 45.98 58 | 1 0.14 46.11 59 | 2 0.27 46.38 88 | 393 53.62 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for death_tm variable in person dataset : Death Time | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.14 0.14 4 | 1 0.14 0.27 5 | 1 0.14 0.41 10 | 2 0.27 0.68 15 | 1 0.14 0.82 19 | 1 0.14 0.95 20 | 2 0.27 1.23 30 | 1 0.14 1.36 35 | 2 0.27 1.64 40 | 1 0.14 1.77 45 | 2 0.27 2.05 50 | 1 0.14 2.18 100 | 5 0.68 2.86 101 | 1 0.14 3.00 115 | 2 0.27 3.27 116 | 1 0.14 3.41 120 | 2 0.27 3.68 126 | 1 0.14 3.82 128 | 1 0.14 3.96 130 | 4 0.55 4.50 145 | 1 0.14 4.64 153 | 1 0.14 4.77 158 | 1 0.14 4.91 159 | 1 0.14 5.05 200 | 9 1.23 6.28 210 | 1 0.14 6.41 220 | 1 0.14 6.55 225 | 1 0.14 6.68 230 | 1 0.14 6.82 236 | 1 0.14 6.96 240 | 2 0.27 7.23 250 | 1 0.14 7.37 300 | 6 0.82 8.19 305 | 2 0.27 8.46 313 | 1 0.14 8.59 318 | 1 0.14 8.73 320 | 1 0.14 8.87 340 | 2 0.27 9.14 345 | 3 0.41 9.55 347 | 1 0.14 9.69 350 | 1 0.14 9.82 355 | 1 0.14 9.96 400 | 3 0.41 10.37 405 | 1 0.14 10.50 417 | 1 0.14 10.64 425 | 1 0.14 10.78 430 | 1 0.14 10.91 440 | 2 0.27 11.19 442 | 1 0.14 11.32 445 | 2 0.27 11.60 450 | 3 0.41 12.01 455 | 1 0.14 12.14 500 | 1 0.14 12.28 513 | 1 0.14 12.41 515 | 1 0.14 12.55 520 | 2 0.27 12.82 530 | 1 0.14 12.96 535 | 1 0.14 13.10 545 | 1 0.14 13.23 550 | 1 0.14 13.37 610 | 2 0.27 13.64 613 | 1 0.14 13.78 615 | 2 0.27 14.05 620 | 1 0.14 14.19 623 | 1 0.14 14.32 625 | 1 0.14 14.46 630 | 1 0.14 14.60 631 | 1 0.14 14.73 633 | 1 0.14 14.87 645 | 1 0.14 15.01 700 | 5 0.68 15.69 710 | 2 0.27 15.96 715 | 1 0.14 16.10 720 | 1 0.14 16.23 730 | 2 0.27 16.51 745 | 1 0.14 16.64 752 | 1 0.14 16.78 800 | 2 0.27 17.05 811 | 1 0.14 17.19 820 | 1 0.14 17.33 830 | 1 0.14 17.46 848 | 1 0.14 17.60 900 | 5 0.68 18.28 919 | 1 0.14 18.42 930 | 2 0.27 18.69 940 | 2 0.27 18.96 945 | 1 0.14 19.10 1000 | 1 0.14 19.24 1001 | 1 0.14 19.37 1028 | 1 0.14 19.51 1030 | 1 0.14 19.65 1040 | 1 0.14 19.78 1045 | 1 0.14 19.92 1046 | 1 0.14 20.05 1050 | 3 0.41 20.46 1100 | 1 0.14 20.60 1105 | 1 0.14 20.74 1120 | 1 0.14 20.87 1123 | 1 0.14 21.01 1149 | 1 0.14 21.15 1200 | 2 0.27 21.42 1210 | 2 0.27 21.69 1215 | 2 0.27 21.96 1226 | 1 0.14 22.10 1230 | 3 0.41 22.51 1259 | 1 0.14 22.65 1300 | 7 0.95 23.60 1305 | 1 0.14 23.74 1309 | 1 0.14 23.87 1320 | 2 0.27 24.15 1330 | 3 0.41 24.56 1345 | 2 0.27 24.83 1400 | 2 0.27 25.10 1406 | 1 0.14 25.24 1410 | 1 0.14 25.38 1415 | 1 0.14 25.51 1420 | 2 0.27 25.78 1425 | 1 0.14 25.92 1430 | 4 0.55 26.47 1435 | 1 0.14 26.60 1450 | 2 0.27 26.88 1455 | 1 0.14 27.01 1500 | 3 0.41 27.42 1510 | 2 0.27 27.69 1515 | 2 0.27 27.97 1530 | 1 0.14 28.10 1531 | 1 0.14 28.24 1547 | 1 0.14 28.38 1550 | 1 0.14 28.51 1553 | 1 0.14 28.65 1600 | 3 0.41 29.06 1610 | 1 0.14 29.20 1630 | 1 0.14 29.33 1640 | 2 0.27 29.60 1645 | 1 0.14 29.74 1647 | 1 0.14 29.88 1651 | 1 0.14 30.01 1655 | 1 0.14 30.15 1700 | 2 0.27 30.42 1715 | 1 0.14 30.56 1730 | 1 0.14 30.70 1735 | 1 0.14 30.83 1736 | 1 0.14 30.97 1740 | 3 0.41 31.38 1745 | 1 0.14 31.51 1750 | 1 0.14 31.65 1800 | 2 0.27 31.92 1802 | 1 0.14 32.06 1814 | 1 0.14 32.20 1815 | 1 0.14 32.33 1816 | 1 0.14 32.47 1820 | 4 0.55 33.02 1830 | 3 0.41 33.42 1835 | 1 0.14 33.56 1840 | 1 0.14 33.70 1845 | 1 0.14 33.83 1857 | 1 0.14 33.97 1900 | 5 0.68 34.65 1905 | 1 0.14 34.79 1909 | 1 0.14 34.92 1910 | 1 0.14 35.06 1915 | 4 0.55 35.61 1920 | 2 0.27 35.88 1922 | 1 0.14 36.02 1924 | 1 0.14 36.15 1930 | 1 0.14 36.29 1940 | 2 0.27 36.56 1945 | 2 0.27 36.83 1950 | 1 0.14 36.97 2000 | 4 0.55 37.52 2003 | 1 0.14 37.65 2010 | 4 0.55 38.20 2015 | 1 0.14 38.34 2016 | 1 0.14 38.47 2020 | 1 0.14 38.61 2025 | 1 0.14 38.74 2030 | 4 0.55 39.29 2035 | 1 0.14 39.43 2040 | 1 0.14 39.56 2045 | 1 0.14 39.70 2050 | 2 0.27 39.97 2053 | 1 0.14 40.11 2100 | 5 0.68 40.79 2110 | 1 0.14 40.93 2115 | 3 0.41 41.34 2120 | 1 0.14 41.47 2130 | 2 0.27 41.75 2135 | 1 0.14 41.88 2138 | 1 0.14 42.02 2140 | 1 0.14 42.16 2200 | 6 0.82 42.97 2210 | 2 0.27 43.25 2215 | 2 0.27 43.52 2220 | 1 0.14 43.66 2222 | 1 0.14 43.79 2230 | 2 0.27 44.07 2240 | 1 0.14 44.20 2245 | 2 0.27 44.47 2247 | 1 0.14 44.61 2250 | 2 0.27 44.88 2300 | 2 0.27 45.16 2310 | 1 0.14 45.29 2315 | 2 0.27 45.57 2320 | 1 0.14 45.70 2340 | 2 0.27 45.98 2342 | 1 0.14 46.11 2350 | 1 0.14 46.25 2355 | 1 0.14 46.38 8888 | 393 53.62 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for lag_hrs variable in person dataset : Crash to | Death Time | (Hours) | Freq. Percent Cum. ------------+----------------------------------- 0 | 212 28.92 28.92 1 | 35 4.77 33.70 2 | 12 1.64 35.33 3 | 7 0.95 36.29 4 | 7 0.95 37.24 5 | 3 0.41 37.65 6 | 2 0.27 37.93 7 | 2 0.27 38.20 10 | 1 0.14 38.34 12 | 1 0.14 38.47 13 | 1 0.14 38.61 15 | 2 0.27 38.88 17 | 1 0.14 39.02 23 | 1 0.14 39.15 27 | 1 0.14 39.29 29 | 1 0.14 39.43 30 | 1 0.14 39.56 31 | 1 0.14 39.70 35 | 1 0.14 39.84 45 | 1 0.14 39.97 46 | 1 0.14 40.11 50 | 1 0.14 40.25 51 | 1 0.14 40.38 52 | 2 0.27 40.65 79 | 2 0.27 40.93 89 | 1 0.14 41.06 90 | 1 0.14 41.20 95 | 1 0.14 41.34 106 | 2 0.27 41.61 109 | 1 0.14 41.75 112 | 1 0.14 41.88 121 | 1 0.14 42.02 126 | 1 0.14 42.16 144 | 1 0.14 42.29 145 | 1 0.14 42.43 152 | 1 0.14 42.56 153 | 1 0.14 42.70 155 | 2 0.27 42.97 160 | 1 0.14 43.11 167 | 1 0.14 43.25 170 | 1 0.14 43.38 180 | 2 0.27 43.66 234 | 1 0.14 43.79 236 | 1 0.14 43.93 240 | 1 0.14 44.07 259 | 1 0.14 44.20 307 | 1 0.14 44.34 317 | 1 0.14 44.47 350 | 1 0.14 44.61 364 | 1 0.14 44.75 400 | 1 0.14 44.88 413 | 2 0.27 45.16 417 | 2 0.27 45.43 418 | 1 0.14 45.57 442 | 1 0.14 45.70 450 | 1 0.14 45.84 455 | 2 0.27 46.11 553 | 1 0.14 46.25 636 | 1 0.14 46.38 999 | 393 53.62 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for lag_mins variable in person dataset : Crash to | Death | Minutes | (Minutes) | Freq. Percent Cum. ------------+----------------------------------- 0 | 197 26.88 26.88 1 | 1 0.14 27.01 5 | 1 0.14 27.15 7 | 1 0.14 27.29 8 | 1 0.14 27.42 9 | 2 0.27 27.69 10 | 11 1.50 29.20 11 | 1 0.14 29.33 14 | 1 0.14 29.47 15 | 8 1.09 30.56 16 | 2 0.27 30.83 17 | 3 0.41 31.24 18 | 1 0.14 31.38 20 | 12 1.64 33.02 23 | 1 0.14 33.15 24 | 3 0.41 33.56 25 | 8 1.09 34.65 28 | 3 0.41 35.06 29 | 1 0.14 35.20 30 | 13 1.77 36.97 31 | 4 0.55 37.52 32 | 1 0.14 37.65 35 | 5 0.68 38.34 36 | 2 0.27 38.61 40 | 11 1.50 40.11 42 | 1 0.14 40.25 43 | 1 0.14 40.38 45 | 12 1.64 42.02 47 | 1 0.14 42.16 48 | 1 0.14 42.29 49 | 2 0.27 42.56 50 | 13 1.77 44.34 51 | 1 0.14 44.47 53 | 1 0.14 44.61 54 | 2 0.27 44.88 55 | 11 1.50 46.38 99 | 393 53.62 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for p_sf1 variable in person dataset : Related | factors (1) | Freq. Percent Cum. ------------+----------------------------------- 0 | 728 99.32 99.32 5 | 1 0.14 99.45 37 | 1 0.14 99.59 41 | 2 0.27 99.86 82 | 1 0.14 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for p_sf2 variable in person dataset : Related | factors (2) | Freq. Percent Cum. ------------+----------------------------------- 0 | 733 100.00 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for p_sf3 variable in person dataset : Related | factors (3) | Freq. Percent Cum. ------------+----------------------------------- 0 | 733 100.00 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for cert_no variable in person dataset : Death | Certificate | Number | Freq. Percent Cum. -------------+----------------------------------- ************ | 733 100.00 100.00 -------------+----------------------------------- Total | 733 100.00 Frequencies for work_inj variable in person dataset : Fatal | Injury at | work | Freq. Percent Cum. ------------+----------------------------------- 0 | 335 45.70 45.70 1 | 5 0.68 46.38 8 | 393 53.62 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for hispanic variable in person dataset : Hispanic | Origin | Freq. Percent Cum. ------------+----------------------------------- 0 | 393 53.62 53.62 2 | 340 46.38 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for race variable in person dataset : Race | Freq. Percent Cum. ------------+----------------------------------- 0 | 393 53.62 53.62 1 | 327 44.61 98.23 2 | 13 1.77 100.00 ------------+----------------------------------- Total | 733 100.00 Frequencies for location variable in person dataset : Non-Motoris | t Location | at time of | crash | Freq. Percent Cum. ------------+----------------------------------- 0 | 603 82.26 82.26 2 | 2 0.27 82.54 3 | 3 0.41 82.95 9 | 2 0.27 83.22 11 | 10 1.36 84.58 13 | 86 11.73 96.32 20 | 13 1.77 98.09 21 | 8 1.09 99.18 22 | 1 0.14 99.32 24 | 3 0.41 99.73 28 | 2 0.27 100.00 ------------+----------------------------------- Total | 733 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016