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 | 800 100.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for st_case variable in person dataset : Consecutive | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 2 0.25 0.25 430002 | 3 0.38 0.62 430003 | 2 0.25 0.88 430005 | 3 0.38 1.25 430006 | 1 0.12 1.38 430007 | 3 0.38 1.75 430008 | 4 0.50 2.25 430009 | 3 0.38 2.62 430010 | 2 0.25 2.88 430011 | 4 0.50 3.38 430012 | 2 0.25 3.62 430013 | 2 0.25 3.88 430014 | 3 0.38 4.25 430015 | 1 0.12 4.38 430016 | 3 0.38 4.75 430017 | 2 0.25 5.00 430018 | 2 0.25 5.25 430019 | 2 0.25 5.50 430020 | 2 0.25 5.75 430021 | 2 0.25 6.00 430022 | 2 0.25 6.25 430023 | 2 0.25 6.50 430024 | 2 0.25 6.75 430025 | 1 0.12 6.88 430026 | 2 0.25 7.12 430027 | 2 0.25 7.38 430028 | 1 0.12 7.50 430029 | 2 0.25 7.75 430030 | 2 0.25 8.00 430031 | 2 0.25 8.25 430032 | 1 0.12 8.38 430033 | 3 0.38 8.75 430034 | 2 0.25 9.00 430035 | 2 0.25 9.25 430036 | 1 0.12 9.38 430037 | 2 0.25 9.62 430038 | 3 0.38 10.00 430039 | 4 0.50 10.50 430040 | 2 0.25 10.75 430041 | 2 0.25 11.00 430042 | 2 0.25 11.25 430043 | 2 0.25 11.50 430044 | 1 0.12 11.62 430045 | 2 0.25 11.88 430046 | 2 0.25 12.12 430047 | 2 0.25 12.38 430048 | 2 0.25 12.62 430049 | 2 0.25 12.88 430050 | 2 0.25 13.12 430051 | 2 0.25 13.38 430052 | 3 0.38 13.75 430053 | 2 0.25 14.00 430054 | 2 0.25 14.25 430055 | 1 0.12 14.38 430056 | 5 0.62 15.00 430057 | 3 0.38 15.38 430058 | 3 0.38 15.75 430059 | 2 0.25 16.00 430060 | 2 0.25 16.25 430061 | 1 0.12 16.38 430062 | 2 0.25 16.62 430063 | 5 0.62 17.25 430064 | 1 0.12 17.38 430065 | 1 0.12 17.50 430066 | 3 0.38 17.88 430067 | 3 0.38 18.25 430068 | 4 0.50 18.75 430069 | 2 0.25 19.00 430070 | 3 0.38 19.38 430071 | 2 0.25 19.62 430072 | 1 0.12 19.75 430073 | 2 0.25 20.00 430074 | 2 0.25 20.25 430075 | 3 0.38 20.62 430076 | 2 0.25 20.88 430077 | 5 0.62 21.50 430078 | 2 0.25 21.75 430079 | 4 0.50 22.25 430080 | 3 0.38 22.62 430081 | 6 0.75 23.38 430082 | 1 0.12 23.50 430083 | 2 0.25 23.75 430084 | 2 0.25 24.00 430085 | 11 1.38 25.38 430086 | 4 0.50 25.88 430087 | 2 0.25 26.12 430088 | 2 0.25 26.38 430089 | 3 0.38 26.75 430090 | 1 0.12 26.88 430091 | 2 0.25 27.12 430092 | 6 0.75 27.88 430093 | 2 0.25 28.12 430094 | 2 0.25 28.38 430095 | 2 0.25 28.62 430096 | 2 0.25 28.88 430097 | 10 1.25 30.12 430098 | 1 0.12 30.25 430099 | 2 0.25 30.50 430100 | 2 0.25 30.75 430101 | 1 0.12 30.88 430102 | 3 0.38 31.25 430103 | 2 0.25 31.50 430104 | 2 0.25 31.75 430105 | 1 0.12 31.88 430106 | 1 0.12 32.00 430107 | 1 0.12 32.12 430108 | 2 0.25 32.38 430109 | 1 0.12 32.50 430110 | 2 0.25 32.75 430111 | 2 0.25 33.00 430112 | 1 0.12 33.12 430113 | 2 0.25 33.38 430114 | 3 0.38 33.75 430115 | 3 0.38 34.12 430116 | 2 0.25 34.38 430117 | 3 0.38 34.75 430118 | 2 0.25 35.00 430119 | 2 0.25 35.25 430120 | 2 0.25 35.50 430121 | 3 0.38 35.88 430122 | 2 0.25 36.12 430123 | 3 0.38 36.50 430124 | 2 0.25 36.75 430125 | 2 0.25 37.00 430126 | 4 0.50 37.50 430127 | 2 0.25 37.75 430128 | 1 0.12 37.88 430129 | 1 0.12 38.00 430130 | 2 0.25 38.25 430131 | 2 0.25 38.50 430132 | 2 0.25 38.75 430133 | 4 0.50 39.25 430134 | 2 0.25 39.50 430135 | 2 0.25 39.75 430136 | 2 0.25 40.00 430137 | 1 0.12 40.12 430138 | 2 0.25 40.38 430139 | 2 0.25 40.62 430140 | 3 0.38 41.00 430141 | 2 0.25 41.25 430142 | 2 0.25 41.50 430143 | 2 0.25 41.75 430144 | 2 0.25 42.00 430145 | 2 0.25 42.25 430146 | 2 0.25 42.50 430147 | 2 0.25 42.75 430148 | 2 0.25 43.00 430149 | 2 0.25 43.25 430150 | 2 0.25 43.50 430151 | 1 0.12 43.62 430152 | 3 0.38 44.00 430153 | 2 0.25 44.25 430154 | 2 0.25 44.50 430155 | 3 0.38 44.88 430156 | 3 0.38 45.25 430157 | 2 0.25 45.50 430158 | 2 0.25 45.75 430159 | 4 0.50 46.25 430160 | 2 0.25 46.50 430161 | 3 0.38 46.88 430162 | 2 0.25 47.12 430163 | 2 0.25 47.38 430164 | 2 0.25 47.62 430165 | 1 0.12 47.75 430166 | 2 0.25 48.00 430167 | 2 0.25 48.25 430168 | 1 0.12 48.38 430169 | 2 0.25 48.62 430170 | 1 0.12 48.75 430171 | 1 0.12 48.88 430172 | 2 0.25 49.12 430173 | 2 0.25 49.38 430174 | 2 0.25 49.62 430175 | 1 0.12 49.75 430176 | 1 0.12 49.88 430177 | 3 0.38 50.25 430178 | 1 0.12 50.38 430179 | 1 0.12 50.50 430180 | 5 0.62 51.12 430181 | 1 0.12 51.25 430182 | 2 0.25 51.50 430183 | 2 0.25 51.75 430184 | 2 0.25 52.00 430185 | 2 0.25 52.25 430186 | 1 0.12 52.38 430187 | 4 0.50 52.88 430188 | 2 0.25 53.12 430189 | 3 0.38 53.50 430190 | 1 0.12 53.62 430191 | 3 0.38 54.00 430192 | 1 0.12 54.12 430193 | 2 0.25 54.38 430194 | 1 0.12 54.50 430195 | 2 0.25 54.75 430196 | 2 0.25 55.00 430197 | 3 0.38 55.38 430198 | 1 0.12 55.50 430199 | 1 0.12 55.62 430200 | 3 0.38 56.00 430201 | 2 0.25 56.25 430202 | 5 0.62 56.88 430203 | 4 0.50 57.38 430204 | 2 0.25 57.62 430205 | 2 0.25 57.88 430206 | 6 0.75 58.62 430207 | 1 0.12 58.75 430208 | 2 0.25 59.00 430209 | 4 0.50 59.50 430210 | 2 0.25 59.75 430211 | 1 0.12 59.88 430212 | 1 0.12 60.00 430213 | 2 0.25 60.25 430214 | 1 0.12 60.38 430215 | 1 0.12 60.50 430216 | 2 0.25 60.75 430217 | 1 0.12 60.88 430218 | 3 0.38 61.25 430219 | 4 0.50 61.75 430220 | 2 0.25 62.00 430221 | 2 0.25 62.25 430222 | 3 0.38 62.62 430223 | 1 0.12 62.75 430224 | 2 0.25 63.00 430225 | 2 0.25 63.25 430226 | 1 0.12 63.38 430227 | 5 0.62 64.00 430228 | 2 0.25 64.25 430229 | 3 0.38 64.62 430230 | 1 0.12 64.75 430231 | 2 0.25 65.00 430232 | 4 0.50 65.50 430233 | 2 0.25 65.75 430234 | 3 0.38 66.12 430235 | 1 0.12 66.25 430236 | 3 0.38 66.62 430237 | 6 0.75 67.38 430238 | 2 0.25 67.62 430239 | 2 0.25 67.88 430240 | 2 0.25 68.12 430241 | 4 0.50 68.62 430242 | 1 0.12 68.75 430243 | 1 0.12 68.88 430244 | 2 0.25 69.12 430245 | 3 0.38 69.50 430246 | 2 0.25 69.75 430247 | 2 0.25 70.00 430248 | 3 0.38 70.38 430249 | 3 0.38 70.75 430250 | 1 0.12 70.88 430252 | 2 0.25 71.12 430253 | 2 0.25 71.38 430254 | 2 0.25 71.62 430255 | 4 0.50 72.12 430256 | 2 0.25 72.38 430257 | 2 0.25 72.62 430258 | 2 0.25 72.88 430259 | 2 0.25 73.12 430260 | 1 0.12 73.25 430261 | 3 0.38 73.62 430262 | 1 0.12 73.75 430263 | 2 0.25 74.00 430264 | 1 0.12 74.12 430265 | 6 0.75 74.88 430266 | 5 0.62 75.50 430267 | 3 0.38 75.88 430268 | 4 0.50 76.38 430269 | 2 0.25 76.62 430270 | 4 0.50 77.12 430271 | 4 0.50 77.62 430272 | 3 0.38 78.00 430273 | 2 0.25 78.25 430274 | 1 0.12 78.38 430275 | 2 0.25 78.62 430276 | 4 0.50 79.12 430277 | 1 0.12 79.25 430278 | 2 0.25 79.50 430279 | 4 0.50 80.00 430280 | 2 0.25 80.25 430281 | 4 0.50 80.75 430282 | 2 0.25 81.00 430283 | 1 0.12 81.12 430284 | 1 0.12 81.25 430285 | 2 0.25 81.50 430286 | 2 0.25 81.75 430287 | 2 0.25 82.00 430288 | 1 0.12 82.12 430289 | 1 0.12 82.25 430290 | 3 0.38 82.62 430291 | 2 0.25 82.88 430292 | 3 0.38 83.25 430293 | 3 0.38 83.62 430294 | 3 0.38 84.00 430295 | 4 0.50 84.50 430296 | 3 0.38 84.88 430297 | 4 0.50 85.38 430298 | 2 0.25 85.62 430299 | 2 0.25 85.88 430300 | 2 0.25 86.12 430301 | 3 0.38 86.50 430302 | 4 0.50 87.00 430303 | 2 0.25 87.25 430304 | 2 0.25 87.50 430305 | 3 0.38 87.88 430306 | 2 0.25 88.12 430307 | 7 0.88 89.00 430308 | 2 0.25 89.25 430309 | 2 0.25 89.50 430310 | 4 0.50 90.00 430311 | 5 0.62 90.62 430312 | 2 0.25 90.88 430313 | 2 0.25 91.12 430314 | 2 0.25 91.38 430315 | 9 1.12 92.50 430316 | 3 0.38 92.88 430317 | 2 0.25 93.12 430318 | 4 0.50 93.62 430319 | 2 0.25 93.88 430320 | 1 0.12 94.00 430321 | 1 0.12 94.12 430322 | 2 0.25 94.38 430323 | 4 0.50 94.88 430324 | 1 0.12 95.00 430325 | 1 0.12 95.12 430326 | 2 0.25 95.38 430327 | 1 0.12 95.50 430328 | 2 0.25 95.75 430329 | 2 0.25 96.00 430330 | 1 0.12 96.12 430331 | 2 0.25 96.38 430332 | 2 0.25 96.62 430333 | 4 0.50 97.12 430334 | 2 0.25 97.38 430335 | 2 0.25 97.62 430336 | 2 0.25 97.88 430337 | 3 0.38 98.25 430338 | 3 0.38 98.62 430339 | 2 0.25 98.88 430340 | 1 0.12 99.00 430341 | 4 0.50 99.50 430342 | 2 0.25 99.75 430343 | 2 0.25 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for ve_forms variable in person dataset : Number of | vehicle | forms | submitted | for MV in | transport | Freq. Percent Cum. ------------+----------------------------------- 1 | 425 53.12 53.12 2 | 288 36.00 89.12 3 | 72 9.00 98.12 4 | 9 1.12 99.25 6 | 6 0.75 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for veh_no variable in person dataset : Vehicle | Number | Freq. Percent Cum. ------------+----------------------------------- 0 | 143 17.88 17.88 1 | 449 56.12 74.00 2 | 171 21.38 95.38 3 | 31 3.88 99.25 4 | 4 0.50 99.75 5 | 1 0.12 99.88 6 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for per_no variable in person dataset : Person | Number | Freq. Percent Cum. ------------+----------------------------------- 1 | 605 75.62 75.62 2 | 122 15.25 90.88 3 | 42 5.25 96.12 4 | 16 2.00 98.12 5 | 7 0.88 99.00 6 | 2 0.25 99.25 7 | 2 0.25 99.50 8 | 2 0.25 99.75 9 | 1 0.12 99.88 10 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for str_veh variable in person dataset : Number Of | Motor | Vehicle | striking | Non-Motoris | t | Freq. Percent Cum. ------------+----------------------------------- 0 | 657 82.12 82.12 1 | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for county variable in person dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 800 100.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for day variable in person dataset : Crash Date | (DAY) | Freq. Percent Cum. ------------+----------------------------------- 1 | 28 3.50 3.50 2 | 34 4.25 7.75 3 | 21 2.62 10.38 4 | 42 5.25 15.62 5 | 32 4.00 19.62 6 | 21 2.62 22.25 7 | 38 4.75 27.00 8 | 30 3.75 30.75 9 | 37 4.62 35.38 10 | 37 4.62 40.00 11 | 13 1.62 41.62 12 | 37 4.62 46.25 13 | 37 4.62 50.88 14 | 27 3.38 54.25 15 | 14 1.75 56.00 16 | 44 5.50 61.50 17 | 38 4.75 66.25 18 | 19 2.38 68.62 19 | 30 3.75 72.38 20 | 17 2.12 74.50 21 | 18 2.25 76.75 22 | 22 2.75 79.50 23 | 26 3.25 82.75 24 | 25 3.12 85.88 25 | 23 2.88 88.75 26 | 23 2.88 91.62 27 | 15 1.88 93.50 28 | 14 1.75 95.25 29 | 20 2.50 97.75 30 | 13 1.62 99.38 31 | 5 0.62 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for month variable in person dataset : Crash Date | (MONTH) | Freq. Percent Cum. ------------+----------------------------------- 1 | 67 8.38 8.38 2 | 43 5.38 13.75 3 | 76 9.50 23.25 4 | 68 8.50 31.75 5 | 36 4.50 36.25 6 | 76 9.50 45.75 7 | 43 5.38 51.12 8 | 47 5.88 57.00 9 | 77 9.62 66.62 10 | 109 13.62 80.25 11 | 59 7.38 87.62 12 | 99 12.38 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for hour variable in person dataset : Crash Time | (HOUR) | Freq. Percent Cum. ------------+----------------------------------- 0 | 19 2.38 2.38 1 | 45 5.62 8.00 2 | 41 5.12 13.12 3 | 23 2.88 16.00 4 | 39 4.88 20.88 5 | 37 4.62 25.50 6 | 27 3.38 28.88 7 | 23 2.88 31.75 8 | 15 1.88 33.62 9 | 14 1.75 35.38 10 | 29 3.62 39.00 11 | 24 3.00 42.00 12 | 19 2.38 44.38 13 | 15 1.88 46.25 14 | 24 3.00 49.25 15 | 39 4.88 54.12 16 | 38 4.75 58.88 17 | 31 3.88 62.75 18 | 29 3.62 66.38 19 | 93 11.62 78.00 20 | 53 6.62 84.62 21 | 43 5.38 90.00 22 | 39 4.88 94.88 23 | 41 5.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for minute variable in person dataset : Crash Time | (MINUTE) | Freq. Percent Cum. ------------+----------------------------------- 0 | 134 16.75 16.75 2 | 7 0.88 17.62 4 | 4 0.50 18.12 5 | 12 1.50 19.62 6 | 2 0.25 19.88 8 | 5 0.62 20.50 10 | 46 5.75 26.25 11 | 2 0.25 26.50 12 | 3 0.38 26.88 14 | 2 0.25 27.12 15 | 68 8.50 35.62 17 | 1 0.12 35.75 18 | 5 0.62 36.38 19 | 2 0.25 36.62 20 | 60 7.50 44.12 22 | 10 1.25 45.38 23 | 3 0.38 45.75 25 | 27 3.38 49.12 27 | 3 0.38 49.50 28 | 9 1.12 50.62 30 | 96 12.00 62.62 31 | 2 0.25 62.88 32 | 5 0.62 63.50 33 | 4 0.50 64.00 34 | 2 0.25 64.25 35 | 30 3.75 68.00 37 | 7 0.88 68.88 38 | 1 0.12 69.00 39 | 2 0.25 69.25 40 | 68 8.50 77.75 41 | 2 0.25 78.00 43 | 5 0.62 78.62 44 | 2 0.25 78.88 45 | 56 7.00 85.88 46 | 4 0.50 86.38 47 | 2 0.25 86.62 49 | 5 0.62 87.25 50 | 64 8.00 95.25 51 | 5 0.62 95.88 53 | 2 0.25 96.12 54 | 1 0.12 96.25 55 | 17 2.12 98.38 56 | 2 0.25 98.62 57 | 10 1.25 99.88 58 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for road_fnc variable in person dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 82 10.25 10.25 2 | 100 12.50 22.75 3 | 128 16.00 38.75 4 | 32 4.00 42.75 5 | 38 4.75 47.50 6 | 56 7.00 54.50 11 | 74 9.25 63.75 12 | 26 3.25 67.00 13 | 75 9.38 76.38 14 | 91 11.38 87.75 15 | 65 8.12 95.88 16 | 33 4.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for harm_ev variable in person dataset : First | Harmful | Event | Freq. Percent Cum. ------------+----------------------------------- 1 | 10 1.25 1.25 5 | 5 0.62 1.88 7 | 8 1.00 2.88 8 | 232 29.00 31.88 9 | 14 1.75 33.62 12 | 358 44.75 78.38 14 | 8 1.00 79.38 15 | 12 1.50 80.88 21 | 1 0.12 81.00 25 | 36 4.50 85.50 30 | 43 5.38 90.88 33 | 1 0.12 91.00 35 | 11 1.38 92.38 38 | 15 1.88 94.25 39 | 8 1.00 95.25 42 | 31 3.88 99.12 43 | 7 0.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for man_coll variable in person dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 0 | 442 55.25 55.25 1 | 87 10.88 66.12 2 | 103 12.88 79.00 6 | 119 14.88 93.88 7 | 18 2.25 96.12 8 | 31 3.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for sch_bus variable in person dataset : School Bus | Related | Freq. Percent Cum. ------------+----------------------------------- 0 | 800 100.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for make variable in person dataset : Vehicle | Make | Freq. Percent Cum. ------------+----------------------------------- 2 | 15 1.88 1.88 6 | 1 0.12 2.00 7 | 28 3.50 5.50 12 | 82 10.25 15.75 14 | 2 0.25 16.00 18 | 3 0.38 16.38 19 | 1 0.12 16.50 20 | 29 3.62 20.12 21 | 2 0.25 20.38 22 | 2 0.25 20.62 23 | 4 0.50 21.12 30 | 4 0.50 21.62 34 | 3 0.38 22.00 35 | 27 3.38 25.38 37 | 29 3.62 29.00 38 | 4 0.50 29.50 41 | 42 5.25 34.75 42 | 2 0.25 35.00 49 | 141 17.62 52.62 51 | 1 0.12 52.75 52 | 64 8.00 60.75 53 | 54 6.75 67.50 54 | 5 0.62 68.12 55 | 24 3.00 71.12 58 | 2 0.25 71.38 59 | 1 0.12 71.50 60 | 1 0.12 71.62 63 | 9 1.12 72.75 64 | 13 1.62 74.38 73 | 8 1.00 75.38 76 | 5 0.62 76.00 84 | 6 0.75 76.75 85 | 2 0.25 77.00 86 | 5 0.62 77.62 98 | 22 2.75 80.38 99 | 14 1.75 82.12 . | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for mak_mod variable in person dataset : Make Model | Combined | Freq. Percent Cum. ------------+----------------------------------- 2403 | 4 0.50 0.50 2404 | 7 0.88 1.38 2407 | 1 0.12 1.50 2431 | 1 0.12 1.62 2499 | 2 0.25 1.88 6041 | 1 0.12 2.00 7020 | 2 0.25 2.25 7025 | 2 0.25 2.50 7026 | 1 0.12 2.62 7027 | 1 0.12 2.75 7034 | 1 0.12 2.88 7402 | 1 0.12 3.00 7422 | 3 0.38 3.38 7442 | 10 1.25 4.62 7461 | 1 0.12 4.75 7472 | 2 0.25 5.00 7482 | 4 0.50 5.50 12003 | 1 0.12 5.62 12013 | 4 0.50 6.12 12015 | 1 0.12 6.25 12016 | 3 0.38 6.62 12017 | 3 0.38 7.00 12037 | 5 0.62 7.62 12401 | 12 1.50 9.12 12402 | 2 0.25 9.38 12442 | 1 0.12 9.50 12461 | 14 1.75 11.25 12471 | 9 1.12 12.38 12481 | 21 2.62 15.00 12880 | 1 0.12 15.12 12881 | 1 0.12 15.25 12882 | 2 0.25 15.50 12899 | 2 0.25 15.75 14401 | 1 0.12 15.88 14402 | 1 0.12 16.00 18007 | 1 0.12 16.12 18020 | 2 0.25 16.38 19003 | 1 0.12 16.50 20009 | 2 0.25 16.75 20016 | 5 0.62 17.38 20020 | 1 0.12 17.50 20022 | 2 0.25 17.75 20033 | 1 0.12 17.88 20036 | 1 0.12 18.00 20037 | 1 0.12 18.12 20401 | 2 0.25 18.38 20403 | 1 0.12 18.50 20421 | 8 1.00 19.50 20441 | 1 0.12 19.62 20443 | 1 0.12 19.75 20471 | 1 0.12 19.88 20481 | 2 0.25 20.12 21020 | 2 0.25 20.38 22016 | 2 0.25 20.62 23401 | 2 0.25 20.88 23481 | 1 0.12 21.00 23898 | 1 0.12 21.12 30040 | 3 0.38 21.50 30042 | 1 0.12 21.62 34034 | 2 0.25 21.88 34401 | 1 0.12 22.00 35034 | 1 0.12 22.12 35043 | 5 0.62 22.75 35047 | 4 0.50 23.25 35051 | 1 0.12 23.38 35401 | 12 1.50 24.88 35471 | 2 0.25 25.12 35472 | 2 0.25 25.38 37031 | 6 0.75 26.12 37032 | 5 0.62 26.75 37039 | 1 0.12 26.88 37402 | 1 0.12 27.00 37403 | 1 0.12 27.12 37441 | 1 0.12 27.25 37471 | 1 0.12 27.38 37705 | 3 0.38 27.75 37706 | 10 1.25 29.00 38031 | 1 0.12 29.12 38401 | 2 0.25 29.38 38899 | 1 0.12 29.50 41034 | 1 0.12 29.62 41035 | 10 1.25 30.88 41037 | 1 0.12 31.00 41043 | 1 0.12 31.12 41045 | 2 0.25 31.38 41051 | 9 1.12 32.50 41054 | 1 0.12 32.62 41441 | 2 0.25 32.88 41471 | 15 1.88 34.75 42042 | 1 0.12 34.88 42401 | 1 0.12 35.00 49032 | 50 6.25 41.25 49033 | 3 0.38 41.62 49038 | 9 1.12 42.75 49040 | 4 0.50 43.25 49041 | 2 0.25 43.50 49045 | 10 1.25 44.75 49047 | 4 0.50 45.25 49049 | 5 0.62 45.88 49051 | 32 4.00 49.88 49401 | 4 0.50 50.38 49402 | 4 0.50 50.88 49403 | 2 0.25 51.12 49404 | 2 0.25 51.38 49421 | 3 0.38 51.75 49472 | 4 0.50 52.25 49482 | 3 0.38 52.62 51046 | 1 0.12 52.75 52034 | 2 0.25 53.00 52035 | 27 3.38 56.38 52045 | 1 0.12 56.50 52046 | 22 2.75 59.25 52047 | 1 0.12 59.38 52401 | 10 1.25 60.62 52402 | 1 0.12 60.75 53032 | 3 0.38 61.12 53033 | 7 0.88 62.00 53040 | 4 0.50 62.50 53399 | 3 0.38 62.88 53401 | 5 0.62 63.50 53402 | 13 1.62 65.12 53404 | 2 0.25 65.38 53405 | 1 0.12 65.50 53705 | 1 0.12 65.62 53706 | 15 1.88 67.50 54031 | 2 0.25 67.75 54035 | 3 0.38 68.12 55032 | 2 0.25 68.38 55035 | 1 0.12 68.50 55036 | 8 1.00 69.50 55037 | 6 0.75 70.25 55041 | 2 0.25 70.50 55401 | 5 0.62 71.12 58037 | 2 0.25 71.38 59402 | 1 0.12 71.50 60031 | 1 0.12 71.62 63031 | 1 0.12 71.75 63032 | 2 0.25 72.00 63033 | 3 0.38 72.38 63037 | 1 0.12 72.50 63038 | 1 0.12 72.62 63401 | 1 0.12 72.75 64031 | 11 1.38 74.12 64033 | 2 0.25 74.38 73701 | 2 0.25 74.62 73706 | 4 0.50 75.12 73709 | 2 0.25 75.38 76701 | 2 0.25 75.62 76705 | 1 0.12 75.75 76706 | 1 0.12 75.88 76709 | 1 0.12 76.00 84881 | 2 0.25 76.25 84898 | 1 0.12 76.38 84899 | 3 0.38 76.75 85881 | 1 0.12 76.88 85898 | 1 0.12 77.00 86898 | 1 0.12 77.12 86899 | 4 0.50 77.62 98703 | 8 1.00 78.62 98709 | 10 1.25 79.88 98806 | 1 0.12 80.00 98907 | 1 0.12 80.12 98988 | 2 0.25 80.38 99999 | 14 1.75 82.12 . | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for body_typ variable in person dataset : Body Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.25 0.25 2 | 182 22.75 23.00 3 | 71 8.88 31.88 4 | 67 8.38 40.25 5 | 3 0.38 40.62 6 | 15 1.88 42.50 14 | 105 13.12 55.62 15 | 15 1.88 57.50 20 | 16 2.00 59.50 21 | 15 1.88 61.38 30 | 36 4.50 65.88 31 | 31 3.88 69.75 52 | 3 0.38 70.12 66 | 6 0.75 70.88 67 | 1 0.12 71.00 78 | 15 1.88 72.88 80 | 54 6.75 79.62 88 | 6 0.75 80.38 99 | 14 1.75 82.12 . | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for mod_year variable in person dataset : Vehicle | Model Year | Freq. Percent Cum. ------------+----------------------------------- 1975 | 3 0.38 0.38 1978 | 1 0.12 0.50 1979 | 3 0.38 0.88 1983 | 1 0.12 1.00 1984 | 11 1.38 2.38 1985 | 5 0.62 3.00 1986 | 9 1.12 4.12 1987 | 8 1.00 5.12 1988 | 7 0.88 6.00 1989 | 9 1.12 7.12 1990 | 9 1.12 8.25 1991 | 14 1.75 10.00 1992 | 8 1.00 11.00 1993 | 21 2.62 13.62 1994 | 21 2.62 16.25 1995 | 28 3.50 19.75 1996 | 21 2.62 22.38 1997 | 20 2.50 24.88 1998 | 32 4.00 28.88 1999 | 29 3.62 32.50 2000 | 35 4.38 36.88 2001 | 30 3.75 40.62 2002 | 19 2.38 43.00 2003 | 37 4.62 47.62 2004 | 31 3.88 51.50 2005 | 60 7.50 59.00 2006 | 44 5.50 64.50 2007 | 23 2.88 67.38 2008 | 26 3.25 70.62 2009 | 12 1.50 72.12 2010 | 34 4.25 76.38 2011 | 19 2.38 78.75 9999 | 27 3.38 82.12 . | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for vintype variable in person dataset : VIN Vehicle | Type | Freq. Percent Cum. ------------+----------------------------------- | 181 22.62 22.62 M | 40 5.00 27.62 P | 449 56.12 83.75 T | 113 14.12 97.88 U | 17 2.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for vinmake variable in person dataset : VIN MAKE | Freq. Percent Cum. ------------+----------------------------------- | 198 24.75 24.75 ACUR | 5 0.62 25.38 AMER | 2 0.25 25.62 BMW | 3 0.38 26.00 BUIC | 3 0.38 26.38 CADI | 1 0.12 26.50 CHEV | 28 3.50 30.00 CHRY | 6 0.75 30.75 DAEW | 13 1.62 32.38 DAIH | 1 0.12 32.50 DODG | 22 2.75 35.25 FORD | 75 9.38 44.62 GMC | 4 0.50 45.12 HINO | 1 0.12 45.25 HOND | 29 3.62 48.88 HYUN | 24 3.00 51.88 INFI | 2 0.25 52.12 INTL | 5 0.62 52.75 ISU | 4 0.50 53.25 JEEP | 11 1.38 54.62 KAWK | 6 0.75 55.38 KIA | 9 1.12 56.50 KW | 2 0.25 56.75 LEXS | 1 0.12 56.88 MACK | 5 0.62 57.50 MAZD | 42 5.25 62.75 MERC | 2 0.25 63.00 MERZ | 2 0.25 63.25 MITS | 63 7.88 71.12 NISS | 27 3.38 74.50 OLDS | 2 0.25 74.75 ONTR | 1 0.12 74.88 PLYM | 1 0.12 75.00 PONT | 2 0.25 75.25 SUZI | 54 6.75 82.00 TOYT | 134 16.75 98.75 VOLK | 4 0.50 99.25 VOLV | 1 0.12 99.38 YAMA | 5 0.62 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for vina_mod variable in person dataset : VIN model | Freq. Percent Cum. ------------+----------------------------------- | 201 25.12 25.12 13V | 1 0.12 25.25 150 | 1 0.12 25.38 15V | 1 0.12 25.50 222 | 1 0.12 25.62 22S | 4 0.50 26.12 24S | 1 0.12 26.25 25I | 1 0.12 26.38 25V | 1 0.12 26.50 2CP | 1 0.12 26.62 323 | 1 0.12 26.75 32T | 3 0.38 27.12 35C | 1 0.12 27.25 35I | 1 0.12 27.38 430 | 1 0.12 27.50 470 | 2 0.25 27.75 490 | 1 0.12 27.88 4DC | 1 0.12 28.00 5RC | 3 0.38 28.38 626 | 1 0.12 28.50 929 | 1 0.12 28.62 ABL | 2 0.25 28.88 ACC | 1 0.12 29.00 ACL | 2 0.25 29.25 ACX | 1 0.12 29.38 ARS | 6 0.75 30.12 ASG | 1 0.12 30.25 ASL | 1 0.12 30.38 AST | 2 0.25 30.62 ATS | 3 0.38 31.00 BLT | 2 0.25 31.25 BX5 | 1 0.12 31.38 CAM | 2 0.25 31.62 CAR | 5 0.62 32.25 CBA | 2 0.25 32.50 CBL | 1 0.12 32.62 CBO | 1 0.12 32.75 CBP | 3 0.38 33.12 CBS | 4 0.50 33.62 CCU | 1 0.12 33.75 CDF | 8 1.00 34.75 CDX | 1 0.12 34.88 CEL | 3 0.38 35.25 CEO | 1 0.12 35.38 CEX | 1 0.12 35.50 CF8 | 2 0.25 35.75 CFE | 1 0.12 35.88 CIS | 1 0.12 36.00 CJ5 | 2 0.25 36.25 CK3 | 1 0.12 36.38 CL7 | 1 0.12 36.50 CLE | 4 0.50 37.00 CLX | 1 0.12 37.12 CNL | 1 0.12 37.25 COA | 3 0.38 37.62 COE | 1 0.12 37.75 COX | 2 0.25 38.00 CPL | 1 0.12 38.12 CR9 | 3 0.38 38.50 CRV | 6 0.75 39.25 CS3 | 1 0.12 39.38 CSD | 2 0.25 39.62 CSE | 1 0.12 39.75 CTR | 4 0.50 40.25 CVP | 1 0.12 40.38 CWS | 5 0.62 41.00 CX9 | 1 0.12 41.12 CXL | 1 0.12 41.25 CXN | 1 0.12 41.38 CXT | 2 0.25 41.62 CYR | 9 1.12 42.75 D2L | 1 0.12 42.88 DBS | 2 0.25 43.12 DCL | 1 0.12 43.25 DCP | 1 0.12 43.38 DEV | 1 0.12 43.50 DSL | 1 0.12 43.62 DUR | 4 0.50 44.12 EBV | 1 0.12 44.25 ECH | 10 1.25 45.50 ELE | 1 0.12 45.62 ELS | 2 0.25 45.88 ELX | 1 0.12 46.00 END | 1 0.12 46.12 EPR | 10 1.25 47.38 ES4 | 1 0.12 47.50 EST | 4 0.50 48.00 EXC | 2 0.25 48.25 EXL | 2 0.25 48.50 F15 | 5 0.62 49.12 F1S | 1 0.12 49.25 F2S | 8 1.00 50.25 F35 | 8 1.00 51.25 F4D | 1 0.12 51.38 FIS | 1 0.12 51.50 FJC | 2 0.25 51.75 FLX | 1 0.12 51.88 FOR | 3 0.38 52.25 FSD | 1 0.12 52.38 FSE | 1 0.12 52.50 FSS | 2 0.25 52.75 FZ7 | 1 0.12 52.88 FZX | 1 0.12 53.00 G13 | 2 0.25 53.25 G35 | 1 0.12 53.38 G3S | 1 0.12 53.50 G50 | 1 0.12 53.62 GC1 | 1 0.12 53.75 GES | 2 0.25 54.00 GN2 | 2 0.25 54.25 GSK | 2 0.25 54.50 GSR | 1 0.12 54.62 GVT | 10 1.25 55.88 GX7 | 1 0.12 56.00 GXR | 3 0.38 56.38 HIG | 2 0.25 56.62 IGS | 1 0.12 56.75 IMF | 1 0.12 56.88 JOU | 1 0.12 57.00 K10 | 8 1.00 58.00 KSX | 1 0.12 58.12 L/S | 1 0.12 58.25 LCS | 2 0.25 58.50 LCW | 3 0.38 58.88 LDE | 9 1.12 60.00 LES | 2 0.25 60.25 LEV | 6 0.75 61.00 LNS | 7 0.88 61.88 LRO | 1 0.12 62.00 LSE | 4 0.50 62.50 M3H | 7 0.88 63.38 M3I | 2 0.25 63.62 MDE | 1 0.12 63.75 ME3 | 1 0.12 63.88 MES | 2 0.25 64.12 MIA | 2 0.25 64.38 MIR | 2 0.25 64.62 MIS | 6 0.75 65.38 ML2 | 1 0.12 65.50 ML4 | 1 0.12 65.62 MLS | 6 0.75 66.38 MLX | 1 0.12 66.50 MNS | 7 0.88 67.38 MON | 2 0.25 67.62 MOU | 1 0.12 67.75 MPR | 9 1.12 68.88 MRN | 1 0.12 69.00 MRS | 3 0.38 69.38 MSS | 1 0.12 69.50 MWG | 2 0.25 69.75 N96 | 1 0.12 69.88 NRR | 1 0.12 70.00 NXT | 1 0.12 70.12 OUT | 1 0.12 70.25 PAL | 3 0.38 70.62 PDS | 2 0.25 70.88 PDX | 5 0.62 71.50 PFE | 1 0.12 71.62 PFI | 12 1.50 73.12 PLE | 1 0.12 73.25 PLN | 1 0.12 73.38 PLX | 2 0.25 73.62 PMN | 1 0.12 73.75 PRC | 4 0.50 74.25 PSE | 1 0.12 74.38 PYR | 4 0.50 74.88 Q15 | 3 0.38 75.25 QAD | 1 0.12 75.38 R6L | 3 0.38 75.75 RBL | 2 0.25 76.00 RD6 | 2 0.25 76.25 RF3 | 1 0.12 76.38 RGC | 2 0.25 76.62 RGL | 2 0.25 76.88 RNG | 4 0.50 77.38 RNS | 3 0.38 77.75 ROG | 1 0.12 77.88 RTL | 1 0.12 78.00 RUN | 4 0.50 78.50 RV4 | 5 0.62 79.12 RX7 | 1 0.12 79.25 S10 | 2 0.25 79.50 S14 | 1 0.12 79.62 S30 | 1 0.12 79.75 S45 | 1 0.12 79.88 S8F | 1 0.12 80.00 SAN | 3 0.38 80.38 SBL | 1 0.12 80.50 SDK | 2 0.25 80.75 SEN | 1 0.12 80.88 SFS | 1 0.12 81.00 SK3 | 1 0.12 81.12 SLE | 3 0.38 81.50 SMR | 5 0.62 82.12 SOU | 1 0.12 82.25 SPE | 2 0.25 82.50 SPL | 1 0.12 82.62 SPO | 2 0.25 82.88 SPR | 1 0.12 83.00 SPT | 4 0.50 83.50 SQ1 | 1 0.12 83.62 SR7 | 1 0.12 83.75 SRK | 1 0.12 83.88 SSX | 2 0.25 84.12 STL | 1 0.12 84.25 SUL | 1 0.12 84.38 SV6 | 1 0.12 84.50 SX4 | 1 0.12 84.62 SX7 | 2 0.25 84.88 SXB | 5 0.62 85.50 SXC | 1 0.12 85.62 T80 | 2 0.25 85.88 TAG | 3 0.38 86.25 TDX | 4 0.50 86.75 TER | 4 0.50 87.25 TGL | 1 0.12 87.38 TGT | 3 0.38 87.75 TIB | 3 0.38 88.12 TLR | 2 0.25 88.38 TRL | 1 0.12 88.50 TRO | 2 0.25 88.75 TT5 | 1 0.12 88.88 TTX | 1 0.12 89.00 UCC | 2 0.25 89.25 UCD | 1 0.12 89.38 UCL | 1 0.12 89.50 UCS | 19 2.38 91.88 UDX | 1 0.12 92.00 UDY | 1 0.12 92.12 UEX | 3 0.38 92.50 UJG | 3 0.38 92.88 ULX | 2 0.25 93.12 URS | 2 0.25 93.38 UVL | 8 1.00 94.38 V8B | 1 0.12 94.50 VCA | 1 0.12 94.62 VIT | 1 0.12 94.75 VS6 | 1 0.12 94.88 VTR | 1 0.12 95.00 WLT | 1 0.12 95.12 WSD | 3 0.38 95.50 WSS | 3 0.38 95.88 WWG | 1 0.12 96.00 WXR | 1 0.12 96.12 X4C | 1 0.12 96.25 XGX | 2 0.25 96.50 XL7 | 3 0.38 96.88 XR1 | 1 0.12 97.00 XSC | 1 0.12 97.12 XTR | 1 0.12 97.25 YAR | 15 1.88 99.12 YJA | 1 0.12 99.25 YW5 | 1 0.12 99.38 Z1R | 2 0.25 99.62 Z7L | 1 0.12 99.75 Z7P | 1 0.12 99.88 ZXW | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for vin_bt variable in person dataset : VIN Body | Type | Freq. Percent Cum. ------------+----------------------------------- | 201 25.12 25.12 2D | 27 3.38 28.50 2H | 28 3.50 32.00 2T | 3 0.38 32.38 2W | 5 0.62 33.00 3C | 3 0.38 33.38 3P | 1 0.12 33.50 4C | 5 0.62 34.12 4D | 197 24.62 58.75 4H | 15 1.88 60.62 4W | 8 1.00 61.62 CB | 1 0.12 61.75 CC | 10 1.25 63.00 CG | 3 0.38 63.38 CH | 5 0.62 64.00 CP | 32 4.00 68.00 CV | 5 0.62 68.62 CW | 21 2.62 71.25 ES | 5 0.62 71.88 MS | 2 0.25 72.12 PC | 13 1.62 73.75 PK | 19 2.38 76.12 RC | 29 3.62 79.75 RS | 5 0.62 80.38 SV | 18 2.25 82.62 SW | 11 1.38 84.00 T | 3 0.38 84.38 TB | 4 0.50 84.88 TR | 5 0.62 85.50 UT | 114 14.25 99.75 YY | 2 0.25 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for vinmodyr variable in person dataset : VIN Model | Year | Freq. Percent Cum. ------------+----------------------------------- 0 | 37 4.62 4.62 1 | 29 3.62 8.25 2 | 17 2.12 10.38 3 | 38 4.75 15.12 4 | 30 3.75 18.88 5 | 60 7.50 26.38 6 | 43 5.38 31.75 7 | 24 3.00 34.75 8 | 26 3.25 38.00 9 | 14 1.75 39.75 10 | 27 3.38 43.12 11 | 15 1.88 45.00 75 | 3 0.38 45.38 78 | 1 0.12 45.50 79 | 3 0.38 45.88 83 | 1 0.12 46.00 84 | 11 1.38 47.38 85 | 5 0.62 48.00 86 | 9 1.12 49.12 87 | 8 1.00 50.12 88 | 7 0.88 51.00 89 | 9 1.12 52.12 90 | 9 1.12 53.25 91 | 14 1.75 55.00 92 | 8 1.00 56.00 93 | 21 2.62 58.62 94 | 21 2.62 61.25 95 | 22 2.75 64.00 96 | 26 3.25 67.25 97 | 20 2.50 69.75 98 | 34 4.25 74.00 99 | 27 3.38 77.38 . | 181 22.62 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for vin_lngt variable in person dataset : VIN length | Freq. Percent Cum. ------------+----------------------------------- 10 | 4 0.50 0.50 13 | 3 0.38 0.88 17 | 612 76.50 77.38 . | 181 22.62 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for vin_wgt variable in person dataset : Curb Weight | Freq. Percent Cum. ------------+----------------------------------- 0 | 57 7.12 7.12 1620 | 1 0.12 7.25 1852 | 1 0.12 7.38 1911 | 1 0.12 7.50 1994 | 1 0.12 7.62 2000 | 4 0.50 8.12 2005 | 3 0.38 8.50 2020 | 4 0.50 9.00 2045 | 1 0.12 9.12 2055 | 5 0.62 9.75 2072 | 1 0.12 9.88 2085 | 2 0.25 10.12 2093 | 2 0.25 10.38 2101 | 4 0.50 10.88 2140 | 2 0.25 11.12 2147 | 1 0.12 11.25 2156 | 1 0.12 11.38 2160 | 3 0.38 11.75 2167 | 1 0.12 11.88 2172 | 2 0.25 12.12 2207 | 3 0.38 12.50 2210 | 2 0.25 12.75 2211 | 1 0.12 12.88 2219 | 1 0.12 13.00 2225 | 4 0.50 13.50 2227 | 4 0.50 14.00 2256 | 1 0.12 14.12 2260 | 3 0.38 14.50 2271 | 1 0.12 14.62 2288 | 5 0.62 15.25 2290 | 4 0.50 15.75 2293 | 3 0.38 16.12 2295 | 5 0.62 16.75 2299 | 1 0.12 16.88 2314 | 3 0.38 17.25 2315 | 3 0.38 17.62 2359 | 2 0.25 17.88 2365 | 2 0.25 18.12 2371 | 1 0.12 18.25 2385 | 1 0.12 18.38 2392 | 2 0.25 18.62 2394 | 4 0.50 19.12 2395 | 5 0.62 19.75 2396 | 3 0.38 20.12 2403 | 4 0.50 20.62 2405 | 4 0.50 21.12 2410 | 2 0.25 21.38 2414 | 4 0.50 21.88 2425 | 5 0.62 22.50 2426 | 1 0.12 22.62 2469 | 5 0.62 23.25 2478 | 1 0.12 23.38 2484 | 1 0.12 23.50 2487 | 2 0.25 23.75 2502 | 3 0.38 24.12 2503 | 4 0.50 24.62 2509 | 2 0.25 24.88 2520 | 1 0.12 25.00 2530 | 10 1.25 26.25 2535 | 1 0.12 26.38 2550 | 1 0.12 26.50 2551 | 1 0.12 26.62 2563 | 2 0.25 26.88 2590 | 1 0.12 27.00 2600 | 2 0.25 27.25 2606 | 1 0.12 27.38 2614 | 1 0.12 27.50 2623 | 1 0.12 27.62 2625 | 1 0.12 27.75 2633 | 1 0.12 27.88 2634 | 2 0.25 28.12 2642 | 1 0.12 28.25 2656 | 2 0.25 28.50 2661 | 7 0.88 29.38 2668 | 2 0.25 29.62 2676 | 1 0.12 29.75 2679 | 4 0.50 30.25 2686 | 2 0.25 30.50 2690 | 1 0.12 30.62 2696 | 1 0.12 30.75 2702 | 1 0.12 30.88 2723 | 1 0.12 31.00 2745 | 3 0.38 31.38 2747 | 1 0.12 31.50 2748 | 2 0.25 31.75 2750 | 1 0.12 31.88 2754 | 1 0.12 32.00 2766 | 1 0.12 32.12 2769 | 1 0.12 32.25 2780 | 1 0.12 32.38 2800 | 1 0.12 32.50 2801 | 2 0.25 32.75 2811 | 1 0.12 32.88 2817 | 2 0.25 33.12 2820 | 1 0.12 33.25 2822 | 1 0.12 33.38 2826 | 7 0.88 34.25 2862 | 1 0.12 34.38 2877 | 4 0.50 34.88 2888 | 1 0.12 35.00 2897 | 2 0.25 35.25 2911 | 5 0.62 35.88 2915 | 1 0.12 36.00 2921 | 2 0.25 36.25 2922 | 2 0.25 36.50 2937 | 1 0.12 36.62 2940 | 2 0.25 36.88 2943 | 1 0.12 37.00 2985 | 2 0.25 37.25 2998 | 1 0.12 37.38 3015 | 3 0.38 37.75 3027 | 1 0.12 37.88 3039 | 2 0.25 38.12 3064 | 4 0.50 38.62 3073 | 2 0.25 38.88 3074 | 1 0.12 39.00 3075 | 2 0.25 39.25 3113 | 1 0.12 39.38 3152 | 2 0.25 39.62 3163 | 1 0.12 39.75 3164 | 1 0.12 39.88 3180 | 3 0.38 40.25 3216 | 2 0.25 40.50 3240 | 1 0.12 40.62 3261 | 1 0.12 40.75 3263 | 8 1.00 41.75 3278 | 1 0.12 41.88 3280 | 1 0.12 42.00 3281 | 1 0.12 42.12 3294 | 2 0.25 42.38 3299 | 1 0.12 42.50 3318 | 1 0.12 42.62 3330 | 1 0.12 42.75 3355 | 1 0.12 42.88 3362 | 2 0.25 43.12 3363 | 1 0.12 43.25 3368 | 1 0.12 43.38 3388 | 1 0.12 43.50 3391 | 1 0.12 43.62 3410 | 1 0.12 43.75 3415 | 1 0.12 43.88 3436 | 1 0.12 44.00 3447 | 3 0.38 44.38 3450 | 1 0.12 44.50 3452 | 1 0.12 44.62 3480 | 3 0.38 45.00 3494 | 2 0.25 45.25 3497 | 1 0.12 45.38 3505 | 1 0.12 45.50 3520 | 1 0.12 45.62 3560 | 2 0.25 45.88 3571 | 1 0.12 46.00 3596 | 1 0.12 46.12 3616 | 1 0.12 46.25 3638 | 1 0.12 46.38 3646 | 2 0.25 46.62 3657 | 1 0.12 46.75 3660 | 1 0.12 46.88 3686 | 1 0.12 47.00 3699 | 1 0.12 47.12 3727 | 3 0.38 47.50 3737 | 3 0.38 47.88 3747 | 1 0.12 48.00 3755 | 3 0.38 48.38 3772 | 2 0.25 48.62 3810 | 1 0.12 48.75 3835 | 1 0.12 48.88 3845 | 2 0.25 49.12 3851 | 3 0.38 49.50 3871 | 1 0.12 49.62 3891 | 2 0.25 49.88 3911 | 1 0.12 50.00 3912 | 3 0.38 50.38 3952 | 1 0.12 50.50 3969 | 1 0.12 50.62 4045 | 2 0.25 50.88 4050 | 2 0.25 51.12 4065 | 1 0.12 51.25 4075 | 1 0.12 51.38 4094 | 4 0.50 51.88 4130 | 1 0.12 52.00 4163 | 1 0.12 52.12 4210 | 1 0.12 52.25 4221 | 8 1.00 53.25 4225 | 1 0.12 53.38 4226 | 1 0.12 53.50 4229 | 1 0.12 53.62 4240 | 1 0.12 53.75 4310 | 1 0.12 53.88 4312 | 1 0.12 54.00 4354 | 1 0.12 54.12 4390 | 1 0.12 54.25 4597 | 1 0.12 54.38 4648 | 2 0.25 54.62 4665 | 1 0.12 54.75 4718 | 1 0.12 54.88 4740 | 1 0.12 55.00 4751 | 2 0.25 55.25 4824 | 1 0.12 55.38 4836 | 1 0.12 55.50 6117 | 5 0.62 56.12 . | 351 43.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for wgtcd_tr variable in person dataset : Truck | Weight | Rating | Freq. Percent Cum. ------------+----------------------------------- 1 | 51 6.38 6.38 2 | 38 4.75 11.12 3 | 2 0.25 11.38 4 | 3 0.38 11.75 5 | 1 0.12 11.88 6 | 1 0.12 12.00 7 | 7 0.88 12.88 8 | 8 1.00 13.88 . | 689 86.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for whlbs_lg variable in person dataset : Wheelbase | long | Freq. Percent Cum. ------------+----------------------------------- 0 | 526 65.75 65.75 1140 | 1 0.12 65.88 1175 | 3 0.38 66.25 1315 | 1 0.12 66.38 1330 | 1 0.12 66.50 1347 | 1 0.12 66.62 1370 | 1 0.12 66.75 1550 | 1 0.12 66.88 1570 | 1 0.12 67.00 1580 | 4 0.50 67.50 1605 | 1 0.12 67.62 1720 | 4 0.50 68.12 1724 | 1 0.12 68.25 1760 | 2 0.25 68.50 1848 | 1 0.12 68.62 2000 | 1 0.12 68.75 2177 | 1 0.12 68.88 2250 | 2 0.25 69.12 2390 | 1 0.12 69.25 2540 | 3 0.38 69.62 2560 | 1 0.12 69.75 2600 | 2 0.25 70.00 . | 240 30.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for whlbs_sh variable in person dataset : Wheelbase | short | Freq. Percent Cum. ------------+----------------------------------- 0 | 16 2.00 2.00 799 | 5 0.62 2.62 835 | 2 0.25 2.88 886 | 3 0.38 3.25 892 | 2 0.25 3.50 910 | 1 0.12 3.62 921 | 1 0.12 3.75 923 | 1 0.12 3.88 933 | 5 0.62 4.50 934 | 5 0.62 5.12 937 | 8 1.00 6.12 938 | 2 0.25 6.38 945 | 9 1.12 7.50 951 | 5 0.62 8.12 954 | 1 0.12 8.25 955 | 3 0.38 8.62 956 | 1 0.12 8.75 957 | 14 1.75 10.50 961 | 11 1.38 11.88 965 | 2 0.25 12.12 967 | 3 0.38 12.50 969 | 16 2.00 14.50 970 | 17 2.12 16.62 974 | 3 0.38 17.00 976 | 22 2.75 19.75 980 | 5 0.62 20.38 984 | 31 3.88 24.25 989 | 3 0.38 24.62 992 | 11 1.38 26.00 996 | 5 0.62 26.62 998 | 2 0.25 26.88 999 | 1 0.12 27.00 1004 | 10 1.25 28.25 1005 | 2 0.25 28.50 1008 | 4 0.50 29.00 1010 | 3 0.38 29.38 1012 | 4 0.50 29.88 1013 | 3 0.38 30.25 1014 | 6 0.75 31.00 1017 | 2 0.25 31.25 1024 | 27 3.38 34.62 1026 | 1 0.12 34.75 1028 | 1 0.12 34.88 1029 | 2 0.25 35.12 1030 | 3 0.38 35.50 1031 | 5 0.62 36.12 1032 | 5 0.62 36.75 1033 | 11 1.38 38.12 1037 | 15 1.88 40.00 1039 | 11 1.38 41.38 1040 | 1 0.12 41.50 1041 | 1 0.12 41.62 1043 | 8 1.00 42.62 1049 | 1 0.12 42.75 1050 | 1 0.12 42.88 1051 | 3 0.38 43.25 1057 | 1 0.12 43.38 1059 | 2 0.25 43.62 1063 | 10 1.25 44.88 1065 | 8 1.00 45.88 1068 | 1 0.12 46.00 1069 | 6 0.75 46.75 1070 | 1 0.12 46.88 1071 | 1 0.12 47.00 1073 | 10 1.25 48.25 1075 | 5 0.62 48.88 1079 | 3 0.38 49.25 1080 | 1 0.12 49.38 1081 | 3 0.38 49.75 1083 | 1 0.12 49.88 1085 | 3 0.38 50.25 1087 | 7 0.88 51.12 1089 | 1 0.12 51.25 1090 | 2 0.25 51.50 1093 | 5 0.62 52.12 1095 | 1 0.12 52.25 1098 | 4 0.50 52.75 1102 | 4 0.50 53.25 1110 | 5 0.62 53.88 1115 | 2 0.25 54.12 1116 | 8 1.00 55.12 1118 | 2 0.25 55.38 1120 | 1 0.12 55.50 1122 | 7 0.88 56.38 1123 | 1 0.12 56.50 1130 | 1 0.12 56.62 1132 | 1 0.12 56.75 1133 | 9 1.12 57.88 1137 | 4 0.50 58.38 1138 | 2 0.25 58.62 1146 | 1 0.12 58.75 1159 | 1 0.12 58.88 1160 | 3 0.38 59.25 1161 | 2 0.25 59.50 1170 | 4 0.50 60.00 1175 | 5 0.62 60.62 1181 | 1 0.12 60.75 1187 | 1 0.12 60.88 1192 | 3 0.38 61.25 1207 | 1 0.12 61.38 1215 | 1 0.12 61.50 1219 | 3 0.38 61.88 1220 | 1 0.12 62.00 1229 | 1 0.12 62.12 1250 | 2 0.25 62.38 1257 | 1 0.12 62.50 1259 | 2 0.25 62.75 1278 | 1 0.12 62.88 1280 | 3 0.38 63.25 1283 | 1 0.12 63.38 1290 | 3 0.38 63.75 1309 | 1 0.12 63.88 1313 | 1 0.12 64.00 1330 | 1 0.12 64.12 1368 | 1 0.12 64.25 1380 | 12 1.50 65.75 1388 | 1 0.12 65.88 1390 | 2 0.25 66.12 1400 | 3 0.38 66.50 1405 | 1 0.12 66.62 1410 | 1 0.12 66.75 1418 | 3 0.38 67.12 1430 | 1 0.12 67.25 1450 | 1 0.12 67.38 1457 | 2 0.25 67.62 1488 | 1 0.12 67.75 1555 | 1 0.12 67.88 1560 | 4 0.50 68.38 1562 | 1 0.12 68.50 1580 | 1 0.12 68.62 1600 | 2 0.25 68.88 1605 | 1 0.12 69.00 1680 | 7 0.88 69.88 1720 | 1 0.12 70.00 . | 240 30.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for ser_tr variable in person dataset : VIN Truck | series | Freq. Percent Cum. ------------+----------------------------------- | 688 86.00 86.00 40S | 4 0.50 86.50 600 | 3 0.38 86.88 700 | 1 0.12 87.00 70S | 1 0.12 87.12 AST | 1 0.12 87.25 B20 | 3 0.38 87.62 B22 | 5 0.62 88.25 B23 | 3 0.38 88.62 B25 | 3 0.38 89.00 B30 | 1 0.12 89.12 CHK | 4 0.50 89.62 CLT | 2 0.25 89.88 COF | 15 1.88 91.75 COL | 1 0.12 91.88 CON | 2 0.25 92.12 CTV | 2 0.25 92.38 CWS | 1 0.12 92.50 D21 | 1 0.12 92.62 DAK | 2 0.25 92.88 DRW | 1 0.12 93.00 ECO | 3 0.38 93.38 ENV | 2 0.25 93.62 FRT | 2 0.25 93.88 GCK | 1 0.12 94.00 GM4 | 1 0.12 94.12 HFD | 1 0.12 94.25 JEE | 2 0.25 94.50 M95 | 1 0.12 94.62 NRR | 1 0.12 94.75 PRT | 1 0.12 94.88 RID | 1 0.12 95.00 RNG | 7 0.88 95.88 RPC | 6 0.75 96.62 S | 1 0.12 96.75 SIE | 1 0.12 96.88 SMR | 1 0.12 97.00 SRW | 8 1.00 98.00 TAC | 4 0.50 98.50 TRK | 1 0.12 98.62 TUN | 3 0.38 99.00 VAN | 2 0.25 99.25 WAG | 1 0.12 99.38 WIN | 1 0.12 99.50 WRA | 1 0.12 99.62 WUL | 3 0.38 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for fuelcode variable in person dataset : Fuel Code | Freq. Percent Cum. ------------+----------------------------------- | 240 30.00 30.00 D | 30 3.75 33.75 F | 9 1.12 34.88 G | 521 65.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for mcycl_ds variable in person dataset : Motorcycle | Engine | Displacemen | t (CC) | Freq. Percent Cum. ------------+----------------------------------- 49 | 2 0.25 0.25 487 | 1 0.12 0.38 599 | 2 0.25 0.62 600 | 1 0.12 0.75 644 | 3 0.38 1.12 645 | 1 0.12 1.25 649 | 1 0.12 1.38 745 | 1 0.12 1.50 749 | 4 0.50 2.00 750 | 3 0.38 2.38 800 | 1 0.12 2.50 919 | 3 0.38 2.88 988 | 1 0.12 3.00 996 | 2 0.25 3.25 998 | 6 0.75 4.00 1298 | 5 0.62 4.62 1312 | 1 0.12 4.75 1352 | 1 0.12 4.88 . | 761 95.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for carbur variable in person dataset : Carburetion | Freq. Percent Cum. ------------+----------------------------------- | 359 44.88 44.88 1 | 4 0.50 45.38 2 | 19 2.38 47.75 4 | 3 0.38 48.12 F | 405 50.62 98.75 T | 10 1.25 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for cylinder variable in person dataset : Number of | Cylinders | Freq. Percent Cum. ------------+----------------------------------- | 201 25.12 25.12 1 | 5 0.62 25.75 10 | 1 0.12 25.88 2 | 8 1.00 26.88 3 | 4 0.50 27.38 4 | 362 45.25 72.62 5 | 1 0.12 72.75 6 | 155 19.38 92.12 8 | 62 7.75 99.88 R | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for displace variable in person dataset : Cubic Inch | Displacemen | t | Freq. Percent Cum. ------------+----------------------------------- | 240 30.00 30.00 061 | 4 0.50 30.50 079 | 1 0.12 30.62 080 | 1 0.12 30.75 081 | 5 0.62 31.38 089 | 9 1.12 32.50 090 | 27 3.38 35.88 091 | 40 5.00 40.88 092 | 14 1.75 42.62 097 | 22 2.75 45.38 098 | 18 2.25 47.62 108 | 4 0.50 48.12 109 | 37 4.62 52.75 110 | 3 0.38 53.12 112 | 15 1.88 55.00 121 | 14 1.75 56.75 122 | 50 6.25 63.00 132 | 2 0.25 63.25 133 | 15 1.88 65.12 134 | 4 0.50 65.62 138 | 3 0.38 66.00 140 | 20 2.50 68.50 143 | 3 0.38 68.88 144 | 6 0.75 69.62 146 | 8 1.00 70.62 148 | 4 0.50 71.12 152 | 16 2.00 73.12 153 | 6 0.75 73.88 154 | 1 0.12 74.00 162 | 7 0.88 74.88 164 | 2 0.25 75.12 167 | 3 0.38 75.50 173 | 1 0.12 75.62 180 | 2 0.25 75.88 181 | 18 2.25 78.12 182 | 8 1.00 79.12 183 | 3 0.38 79.50 191 | 3 0.38 79.88 195 | 2 0.25 80.12 197 | 3 0.38 80.50 201 | 8 1.00 81.50 204 | 1 0.12 81.62 206 | 1 0.12 81.75 207 | 1 0.12 81.88 212 | 1 0.12 82.00 213 | 5 0.62 82.62 214 | 2 0.25 82.88 225 | 1 0.12 83.00 226 | 3 0.38 83.38 230 | 4 0.50 83.88 231 | 3 0.38 84.25 232 | 1 0.12 84.38 233 | 1 0.12 84.50 239 | 2 0.25 84.75 241 | 1 0.12 84.88 242 | 5 0.62 85.50 244 | 11 1.38 86.88 245 | 13 1.62 88.50 256 | 4 0.50 89.00 258 | 2 0.25 89.25 260 | 1 0.12 89.38 262 | 3 0.38 89.75 268 | 1 0.12 89.88 273 | 2 0.25 90.12 281 | 4 0.50 90.62 285 | 1 0.12 90.75 287 | 9 1.12 91.88 302 | 1 0.12 92.00 305 | 11 1.38 93.38 317 | 1 0.12 93.50 318 | 1 0.12 93.62 329 | 1 0.12 93.75 330 | 10 1.25 95.00 350 | 1 0.12 95.12 351 | 7 0.88 96.00 359 | 1 0.12 96.12 366 | 9 1.12 97.25 408 | 2 0.25 97.50 415 | 1 0.12 97.62 425 | 1 0.12 97.75 444 | 3 0.38 98.12 460 | 1 0.12 98.25 466 | 3 0.38 98.62 473 | 2 0.25 98.88 486 | 1 0.12 99.00 505 | 1 0.12 99.12 661 | 1 0.12 99.25 728 | 4 0.50 99.75 855 | 2 0.25 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for mcycl_cy variable in person dataset : Number of | Engine | Cycles | Freq. Percent Cum. ------------+----------------------------------- | 761 95.12 95.12 2 | 2 0.25 95.38 4 | 37 4.62 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for tire_sze variable in person dataset : Original | Tire Size | Freq. Percent Cum. ------------+----------------------------------- | 351 43.88 43.88 000000 | 52 6.50 50.38 12R145 | 4 0.50 50.88 13R145 | 3 0.38 51.25 13R155 | 30 3.75 55.00 13R165 | 5 0.62 55.62 13R175 | 13 1.62 57.25 13R185 | 2 0.25 57.50 14R175 | 50 6.25 63.75 14R185 | 48 6.00 69.75 14R195 | 7 0.88 70.62 14R205 | 1 0.12 70.75 15GR78 | 1 0.12 70.88 15R175 | 1 0.12 71.00 15R185 | 25 3.12 74.12 15R195 | 37 4.62 78.75 15R205 | 18 2.25 81.00 15R225 | 8 1.00 82.00 15R235 | 8 1.00 83.00 16R205 | 23 2.88 85.88 16R215 | 22 2.75 88.62 16R225 | 9 1.12 89.75 16R235 | 22 2.75 92.50 16R245 | 10 1.25 93.75 16R255 | 6 0.75 94.50 16R265 | 2 0.25 94.75 16R275 | 2 0.25 95.00 17R205 | 7 0.88 95.88 17R215 | 7 0.88 96.75 17R225 | 4 0.50 97.25 17R235 | 8 1.00 98.25 17R245 | 4 0.50 98.75 17R265 | 4 0.50 99.25 17R275 | 1 0.12 99.38 18R225 | 3 0.38 99.75 18R245 | 1 0.12 99.88 18R255 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for ton_rat variable in person dataset : Ton Rating | Freq. Percent Cum. ------------+----------------------------------- | 736 92.00 92.00 B | 35 4.38 96.38 C | 10 1.25 97.62 D | 15 1.88 99.50 E | 1 0.12 99.62 N | 3 0.38 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for trk_wt variable in person dataset : Shipping | Weight | Freq. Percent Cum. ------------+----------------------------------- | 688 86.00 86.00 00000 | 42 5.25 91.25 13813 | 1 0.12 91.38 2623 | 2 0.25 91.62 2660 | 4 0.50 92.12 2848 | 1 0.12 92.25 2918 | 2 0.25 92.50 2921 | 1 0.12 92.62 2961 | 1 0.12 92.75 2985 | 2 0.25 93.00 3030 | 3 0.38 93.38 3045 | 2 0.25 93.62 3060 | 1 0.12 93.75 3108 | 1 0.12 93.88 3146 | 1 0.12 94.00 3179 | 1 0.12 94.12 3198 | 1 0.12 94.25 3325 | 1 0.12 94.38 3412 | 1 0.12 94.50 3440 | 1 0.12 94.62 3460 | 1 0.12 94.75 3554 | 1 0.12 94.88 3620 | 1 0.12 95.00 3697 | 1 0.12 95.12 3760 | 1 0.12 95.25 3762 | 1 0.12 95.38 3810 | 1 0.12 95.50 3817 | 1 0.12 95.62 3855 | 1 0.12 95.75 3995 | 1 0.12 95.88 3996 | 1 0.12 96.00 4075 | 3 0.38 96.38 4170 | 1 0.12 96.50 4205 | 2 0.25 96.75 4245 | 1 0.12 96.88 4316 | 1 0.12 97.00 4365 | 1 0.12 97.12 4537 | 1 0.12 97.25 4611 | 1 0.12 97.38 4620 | 1 0.12 97.50 4650 | 1 0.12 97.62 4773 | 2 0.25 97.88 4863 | 3 0.38 98.25 5090 | 2 0.25 98.50 5147 | 2 0.25 98.75 5345 | 1 0.12 98.88 5532 | 1 0.12 99.00 5863 | 1 0.12 99.12 6395 | 4 0.50 99.62 6538 | 1 0.12 99.75 7259 | 1 0.12 99.88 9787 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for trkwtvar variable in person dataset : Shipping | Weight | Variance | Freq. Percent Cum. ------------+----------------------------------- | 688 86.00 86.00 00 | 86 10.75 96.75 01 | 16 2.00 98.75 02 | 4 0.50 99.25 03 | 3 0.38 99.62 04 | 2 0.25 99.88 06 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for mcycl_wt variable in person dataset : Dry Weight | Freq. Percent Cum. ------------+----------------------------------- | 761 95.12 95.12 150 | 1 0.12 95.25 185 | 1 0.12 95.38 324 | 3 0.38 95.75 354 | 2 0.25 96.00 360 | 1 0.12 96.12 363 | 1 0.12 96.25 365 | 2 0.25 96.50 370 | 1 0.12 96.62 375 | 2 0.25 96.88 381 | 1 0.12 97.00 388 | 1 0.12 97.12 396 | 3 0.38 97.50 397 | 1 0.12 97.62 407 | 2 0.25 97.88 412 | 1 0.12 98.00 430 | 2 0.25 98.25 434 | 2 0.25 98.50 438 | 1 0.12 98.62 461 | 1 0.12 98.75 474 | 1 0.12 98.88 478 | 5 0.62 99.50 485 | 1 0.12 99.62 516 | 1 0.12 99.75 519 | 1 0.12 99.88 641 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for vin_rest variable in person dataset : VIN | Restraint | type | Freq. Percent Cum. ------------+----------------------------------- | 715 89.38 89.38 4 | 3 0.38 89.75 7 | 2 0.25 90.00 A | 29 3.62 93.62 B | 3 0.38 94.00 E | 20 2.50 96.50 F | 1 0.12 96.62 K | 4 0.50 97.12 L | 1 0.12 97.25 M | 3 0.38 97.62 S | 3 0.38 98.00 U | 16 2.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for whldrwhl variable in person dataset : Number of | wheels/driv | er wheels | Freq. Percent Cum. ------------+----------------------------------- | 689 86.12 86.12 42 | 80 10.00 96.12 44 | 25 3.12 99.25 64 | 6 0.75 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for tow_veh variable in person dataset : Vehicle | Trailing | Freq. Percent Cum. ------------+----------------------------------- 0 | 643 80.38 80.38 9 | 14 1.75 82.12 . | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for spec_use variable in person dataset : Special Use | Freq. Percent Cum. ------------+----------------------------------- 0 | 643 80.38 80.38 99 | 14 1.75 82.12 . | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for emer_use variable in person dataset : Emergency | Use | Freq. Percent Cum. ------------+----------------------------------- 0 | 645 80.62 80.62 9 | 12 1.50 82.12 . | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for rollover variable in person dataset : Rollover | Type | Freq. Percent Cum. ------------+----------------------------------- 0 | 604 75.50 75.50 1 | 1 0.12 75.62 2 | 51 6.38 82.00 . | 144 18.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for impact1 variable in person dataset : Area of | Impact- | Initial | Damaged | Freq. Percent Cum. ------------+----------------------------------- 0 | 23 2.88 2.88 1 | 14 1.75 4.62 2 | 24 3.00 7.62 3 | 60 7.50 15.12 5 | 4 0.50 15.62 6 | 47 5.88 21.50 7 | 7 0.88 22.38 8 | 3 0.38 22.75 9 | 66 8.25 31.00 10 | 17 2.12 33.12 11 | 26 3.25 36.38 12 | 366 45.75 82.12 . | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for impact2 variable in person dataset : Area of | Impact- | Most | Damaged | Freq. Percent Cum. ------------+----------------------------------- 0 | 23 2.88 2.88 1 | 12 1.50 4.38 2 | 17 2.12 6.50 3 | 66 8.25 14.75 5 | 7 0.88 15.62 6 | 32 4.00 19.62 7 | 14 1.75 21.38 8 | 3 0.38 21.75 9 | 54 6.75 28.50 10 | 15 1.88 30.38 11 | 18 2.25 32.62 12 | 347 43.38 76.00 13 | 49 6.12 82.12 . | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for fire_exp variable in person dataset : Fire | Occurrence | Freq. Percent Cum. ------------+----------------------------------- 0 | 652 81.50 81.50 1 | 5 0.62 82.12 . | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for age variable in person dataset : Age | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 0.12 0.12 1 | 4 0.50 0.62 2 | 1 0.12 0.75 3 | 3 0.38 1.12 4 | 5 0.62 1.75 5 | 3 0.38 2.12 6 | 3 0.38 2.50 7 | 6 0.75 3.25 8 | 2 0.25 3.50 9 | 1 0.12 3.62 10 | 3 0.38 4.00 11 | 2 0.25 4.25 12 | 3 0.38 4.62 13 | 3 0.38 5.00 14 | 4 0.50 5.50 15 | 3 0.38 5.88 16 | 10 1.25 7.12 17 | 15 1.88 9.00 18 | 16 2.00 11.00 19 | 21 2.62 13.62 20 | 26 3.25 16.88 21 | 27 3.38 20.25 22 | 19 2.38 22.62 23 | 13 1.62 24.25 24 | 32 4.00 28.25 25 | 21 2.62 30.88 26 | 15 1.88 32.75 27 | 14 1.75 34.50 28 | 11 1.38 35.88 29 | 15 1.88 37.75 30 | 16 2.00 39.75 31 | 6 0.75 40.50 32 | 18 2.25 42.75 33 | 19 2.38 45.12 34 | 9 1.12 46.25 35 | 13 1.62 47.88 36 | 12 1.50 49.38 37 | 12 1.50 50.88 38 | 12 1.50 52.38 39 | 13 1.62 54.00 40 | 9 1.12 55.12 41 | 10 1.25 56.38 42 | 6 0.75 57.12 43 | 11 1.38 58.50 44 | 8 1.00 59.50 45 | 14 1.75 61.25 46 | 8 1.00 62.25 47 | 9 1.12 63.38 48 | 13 1.62 65.00 49 | 6 0.75 65.75 50 | 11 1.38 67.12 51 | 8 1.00 68.12 52 | 7 0.88 69.00 53 | 14 1.75 70.75 54 | 13 1.62 72.38 55 | 16 2.00 74.38 56 | 8 1.00 75.38 57 | 9 1.12 76.50 58 | 5 0.62 77.12 59 | 8 1.00 78.12 60 | 7 0.88 79.00 61 | 9 1.12 80.12 62 | 10 1.25 81.38 63 | 10 1.25 82.62 64 | 10 1.25 83.88 65 | 12 1.50 85.38 66 | 2 0.25 85.62 67 | 3 0.38 86.00 68 | 4 0.50 86.50 69 | 4 0.50 87.00 70 | 5 0.62 87.62 71 | 4 0.50 88.12 72 | 3 0.38 88.50 73 | 4 0.50 89.00 74 | 3 0.38 89.38 75 | 5 0.62 90.00 76 | 3 0.38 90.38 77 | 2 0.25 90.62 78 | 6 0.75 91.38 79 | 3 0.38 91.75 80 | 1 0.12 91.88 81 | 3 0.38 92.25 82 | 2 0.25 92.50 83 | 6 0.75 93.25 84 | 1 0.12 93.38 86 | 1 0.12 93.50 88 | 1 0.12 93.62 89 | 1 0.12 93.75 90 | 1 0.12 93.88 92 | 1 0.12 94.00 998 | 44 5.50 99.50 999 | 4 0.50 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for sex variable in person dataset : Sex | Freq. Percent Cum. ------------+----------------------------------- 1 | 571 71.38 71.38 2 | 208 26.00 97.38 8 | 18 2.25 99.62 9 | 3 0.38 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for per_typ variable in person dataset : Person Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 482 60.25 60.25 2 | 174 21.75 82.00 3 | 1 0.12 82.12 5 | 130 16.25 98.38 6 | 7 0.88 99.25 8 | 6 0.75 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for inj_sev variable in person dataset : Injury | Severity | Freq. Percent Cum. ------------+----------------------------------- 0 | 194 24.25 24.25 2 | 129 16.12 40.38 3 | 118 14.75 55.12 4 | 359 44.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for seat_pos variable in person dataset : Seating | Position | Freq. Percent Cum. ------------+----------------------------------- 0 | 143 17.88 17.88 11 | 483 60.38 78.25 12 | 1 0.12 78.38 13 | 107 13.38 91.75 18 | 1 0.12 91.88 21 | 38 4.75 96.62 22 | 11 1.38 98.00 23 | 15 1.88 99.88 28 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for rest_use variable in person dataset : Restraint | System/Helm | et Use | Freq. Percent Cum. ------------+----------------------------------- 2 | 10 1.25 1.25 3 | 346 43.25 44.50 4 | 5 0.62 45.12 5 | 18 2.25 47.38 7 | 218 27.25 74.62 17 | 42 5.25 79.88 96 | 143 17.88 97.75 99 | 18 2.25 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for rest_mis variable in person dataset : Any | Indication | of Mis-Use | of | Restraint | System/Helm | et Use | Freq. Percent Cum. ------------+----------------------------------- 0 | 657 82.12 82.12 8 | 143 17.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for air_bag variable in person dataset : Air Bag | Deployed | Freq. Percent Cum. ------------+----------------------------------- 0 | 206 25.75 25.75 1 | 10 1.25 27.00 20 | 423 52.88 79.88 97 | 143 17.88 97.75 99 | 18 2.25 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for ejection variable in person dataset : Ejection | Freq. Percent Cum. ------------+----------------------------------- 0 | 555 69.38 69.38 1 | 23 2.88 72.25 2 | 1 0.12 72.38 8 | 203 25.38 97.75 9 | 18 2.25 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for ej_path variable in person dataset : Ejection | Path | Freq. Percent Cum. ------------+----------------------------------- 0 | 758 94.75 94.75 1 | 24 3.00 97.75 9 | 18 2.25 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for extricat variable in person dataset : Extrication | Freq. Percent Cum. ------------+----------------------------------- 0 | 782 97.75 97.75 9 | 18 2.25 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for drinking variable in person dataset : Police | Reported | Alcohol | Involvement | Freq. Percent Cum. ------------+----------------------------------- 0 | 168 21.00 21.00 1 | 47 5.88 26.88 8 | 585 73.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for alc_det variable in person dataset : Method of | alcohol | determinati | on by | police | Freq. Percent Cum. ------------+----------------------------------- 1 | 57 7.12 7.12 2 | 158 19.75 26.88 9 | 585 73.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for alc_status variable in person dataset : Alcohol | Test- | Status | Freq. Percent Cum. ------------+----------------------------------- 0 | 395 49.38 49.38 2 | 405 50.62 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for atst_typ variable in person dataset : Alcohol | Test- Type | Freq. Percent Cum. ------------+----------------------------------- 0 | 395 49.38 49.38 1 | 249 31.12 80.50 2 | 156 19.50 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for alc_res variable in person dataset : Alcohol | Test- | Result | Freq. Percent Cum. ------------+----------------------------------- 0 | 293 36.62 36.62 1 | 2 0.25 36.88 2 | 7 0.88 37.75 3 | 3 0.38 38.12 4 | 2 0.25 38.38 5 | 4 0.50 38.88 6 | 2 0.25 39.12 7 | 3 0.38 39.50 8 | 4 0.50 40.00 9 | 1 0.12 40.12 10 | 4 0.50 40.62 11 | 2 0.25 40.88 12 | 4 0.50 41.38 13 | 3 0.38 41.75 14 | 7 0.88 42.62 15 | 4 0.50 43.12 16 | 4 0.50 43.62 17 | 4 0.50 44.12 18 | 4 0.50 44.62 19 | 2 0.25 44.88 20 | 2 0.25 45.12 21 | 4 0.50 45.62 22 | 4 0.50 46.12 23 | 3 0.38 46.50 24 | 3 0.38 46.88 25 | 4 0.50 47.38 27 | 3 0.38 47.75 29 | 2 0.25 48.00 30 | 1 0.12 48.12 31 | 2 0.25 48.38 33 | 3 0.38 48.75 96 | 395 49.38 98.12 97 | 15 1.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for drugs variable in person dataset : Police | Reported | Drug | Involvement | Freq. Percent Cum. ------------+----------------------------------- 8 | 800 100.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for drug_det variable in person dataset : Method of | Drug | determinati | on by | police | Freq. Percent Cum. ------------+----------------------------------- 8 | 800 100.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for dstatus variable in person dataset : Drug Test | -Status | Freq. Percent Cum. ------------+----------------------------------- 0 | 613 76.62 76.62 2 | 186 23.25 99.88 8 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for drugtst1 variable in person dataset : Drug Test | -Type (1) | Freq. Percent Cum. ------------+----------------------------------- 0 | 613 76.62 76.62 1 | 186 23.25 99.88 6 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for drugtst2 variable in person dataset : Drug Test | -Type (2) | Freq. Percent Cum. ------------+----------------------------------- 0 | 799 99.88 99.88 1 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for drugtst3 variable in person dataset : Drug Test | -Type (3) | Freq. Percent Cum. ------------+----------------------------------- 0 | 799 99.88 99.88 1 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for drugres1 variable in person dataset : Drug Test- | Result (1) | Freq. Percent Cum. ------------+----------------------------------- 0 | 613 76.62 76.62 1 | 157 19.62 96.25 95 | 1 0.12 96.38 117 | 2 0.25 96.62 177 | 3 0.38 97.00 407 | 22 2.75 99.75 695 | 2 0.25 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for drugres2 variable in person dataset : Drug Test- | Result (2) | Freq. Percent Cum. ------------+----------------------------------- 0 | 799 99.88 99.88 117 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for drugres3 variable in person dataset : Drug Test- | Result (3) | Freq. Percent Cum. ------------+----------------------------------- 0 | 799 99.88 99.88 177 | 1 0.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for hospital variable in person dataset : Transported | to Medical | Facility By | Freq. Percent Cum. ------------+----------------------------------- 0 | 404 50.50 50.50 2 | 1 0.12 50.62 4 | 395 49.38 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for doa variable in person dataset : Died at | scene/en | route | Freq. Percent Cum. ------------+----------------------------------- 0 | 591 73.88 73.88 7 | 209 26.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for death_da variable in person dataset : Death Date | (DAY) | Freq. Percent Cum. ------------+----------------------------------- 1 | 10 1.25 1.25 2 | 16 2.00 3.25 3 | 11 1.38 4.62 4 | 17 2.12 6.75 5 | 14 1.75 8.50 6 | 11 1.38 9.88 7 | 13 1.62 11.50 8 | 17 2.12 13.62 9 | 17 2.12 15.75 10 | 14 1.75 17.50 11 | 6 0.75 18.25 12 | 16 2.00 20.25 13 | 11 1.38 21.62 14 | 13 1.62 23.25 15 | 11 1.38 24.62 16 | 15 1.88 26.50 17 | 14 1.75 28.25 18 | 7 0.88 29.12 19 | 17 2.12 31.25 20 | 12 1.50 32.75 21 | 9 1.12 33.88 22 | 12 1.50 35.38 23 | 9 1.12 36.50 24 | 10 1.25 37.75 25 | 7 0.88 38.62 26 | 11 1.38 40.00 27 | 10 1.25 41.25 28 | 7 0.88 42.12 29 | 12 1.50 43.62 30 | 6 0.75 44.38 31 | 4 0.50 44.88 88 | 441 55.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for death_mo variable in person dataset : Death Date | (MONTH) | Freq. Percent Cum. ------------+----------------------------------- 1 | 32 4.00 4.00 2 | 21 2.62 6.62 3 | 32 4.00 10.62 4 | 23 2.88 13.50 5 | 24 3.00 16.50 6 | 35 4.38 20.88 7 | 24 3.00 23.88 8 | 24 3.00 26.88 9 | 36 4.50 31.38 10 | 45 5.62 37.00 11 | 27 3.38 40.38 12 | 36 4.50 44.88 88 | 441 55.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for death_yr variable in person dataset : Death Date | (YEAR) | Freq. Percent Cum. ------------+----------------------------------- 2011 | 358 44.75 44.75 2012 | 1 0.12 44.88 8888 | 441 55.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for death_hr variable in person dataset : Death Time | (HOUR) | Freq. Percent Cum. ------------+----------------------------------- 0 | 10 1.25 1.25 1 | 22 2.75 4.00 2 | 23 2.88 6.88 3 | 15 1.88 8.75 4 | 19 2.38 11.12 5 | 20 2.50 13.62 6 | 11 1.38 15.00 7 | 10 1.25 16.25 8 | 8 1.00 17.25 9 | 10 1.25 18.50 10 | 10 1.25 19.75 11 | 6 0.75 20.50 12 | 6 0.75 21.25 13 | 4 0.50 21.75 14 | 9 1.12 22.88 15 | 11 1.38 24.25 16 | 14 1.75 26.00 17 | 13 1.62 27.62 18 | 17 2.12 29.75 19 | 25 3.12 32.88 20 | 23 2.88 35.75 21 | 29 3.62 39.38 22 | 20 2.50 41.88 23 | 24 3.00 44.88 88 | 441 55.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for death_mn variable in person dataset : Death Time | (MINUTES) | Freq. Percent Cum. ------------+----------------------------------- 0 | 93 11.62 11.62 2 | 4 0.50 12.12 3 | 1 0.12 12.25 5 | 5 0.62 12.88 6 | 1 0.12 13.00 7 | 3 0.38 13.38 8 | 3 0.38 13.75 10 | 17 2.12 15.88 14 | 2 0.25 16.12 15 | 23 2.88 19.00 17 | 1 0.12 19.12 18 | 2 0.25 19.38 20 | 16 2.00 21.38 21 | 1 0.12 21.50 22 | 3 0.38 21.88 23 | 1 0.12 22.00 25 | 11 1.38 23.38 26 | 1 0.12 23.50 27 | 2 0.25 23.75 28 | 4 0.50 24.25 30 | 51 6.38 30.62 31 | 1 0.12 30.75 32 | 3 0.38 31.12 33 | 6 0.75 31.88 34 | 3 0.38 32.25 35 | 12 1.50 33.75 37 | 2 0.25 34.00 38 | 1 0.12 34.12 40 | 18 2.25 36.38 41 | 2 0.25 36.62 43 | 2 0.25 36.88 44 | 2 0.25 37.12 45 | 17 2.12 39.25 46 | 3 0.38 39.62 49 | 3 0.38 40.00 50 | 20 2.50 42.50 52 | 2 0.25 42.75 53 | 2 0.25 43.00 54 | 1 0.12 43.12 55 | 7 0.88 44.00 56 | 1 0.12 44.12 57 | 4 0.50 44.62 58 | 2 0.25 44.88 88 | 441 55.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for death_tm variable in person dataset : Death Time | Freq. Percent Cum. ------------+----------------------------------- 2 | 2 0.25 0.25 14 | 1 0.12 0.38 15 | 1 0.12 0.50 30 | 2 0.25 0.75 40 | 1 0.12 0.88 45 | 1 0.12 1.00 50 | 1 0.12 1.12 52 | 1 0.12 1.25 100 | 7 0.88 2.12 103 | 1 0.12 2.25 110 | 3 0.38 2.62 115 | 3 0.38 3.00 130 | 2 0.25 3.25 131 | 1 0.12 3.38 133 | 2 0.25 3.62 137 | 1 0.12 3.75 146 | 1 0.12 3.88 150 | 1 0.12 4.00 200 | 6 0.75 4.75 207 | 1 0.12 4.88 208 | 1 0.12 5.00 215 | 1 0.12 5.12 220 | 2 0.25 5.38 225 | 1 0.12 5.50 230 | 4 0.50 6.00 235 | 2 0.25 6.25 240 | 2 0.25 6.50 245 | 1 0.12 6.62 246 | 2 0.25 6.88 300 | 5 0.62 7.50 305 | 1 0.12 7.62 310 | 1 0.12 7.75 317 | 1 0.12 7.88 322 | 1 0.12 8.00 330 | 2 0.25 8.25 340 | 1 0.12 8.38 341 | 1 0.12 8.50 345 | 1 0.12 8.62 350 | 1 0.12 8.75 400 | 5 0.62 9.38 405 | 1 0.12 9.50 410 | 2 0.25 9.75 415 | 1 0.12 9.88 422 | 1 0.12 10.00 425 | 1 0.12 10.12 434 | 1 0.12 10.25 437 | 1 0.12 10.38 440 | 1 0.12 10.50 444 | 1 0.12 10.62 454 | 1 0.12 10.75 455 | 3 0.38 11.12 500 | 3 0.38 11.50 508 | 1 0.12 11.62 510 | 2 0.25 11.88 520 | 1 0.12 12.00 522 | 1 0.12 12.12 530 | 1 0.12 12.25 535 | 3 0.38 12.62 540 | 4 0.50 13.12 545 | 2 0.25 13.38 550 | 1 0.12 13.50 553 | 1 0.12 13.62 600 | 4 0.50 14.12 610 | 2 0.25 14.38 630 | 2 0.25 14.62 640 | 1 0.12 14.75 643 | 1 0.12 14.88 645 | 1 0.12 15.00 700 | 3 0.38 15.38 715 | 2 0.25 15.62 720 | 1 0.12 15.75 730 | 1 0.12 15.88 735 | 1 0.12 16.00 740 | 1 0.12 16.12 750 | 1 0.12 16.25 800 | 2 0.25 16.50 815 | 1 0.12 16.62 828 | 1 0.12 16.75 833 | 1 0.12 16.88 835 | 1 0.12 17.00 850 | 1 0.12 17.12 855 | 1 0.12 17.25 900 | 5 0.62 17.88 926 | 1 0.12 18.00 927 | 1 0.12 18.12 930 | 1 0.12 18.25 934 | 1 0.12 18.38 945 | 1 0.12 18.50 1000 | 3 0.38 18.88 1020 | 2 0.25 19.12 1030 | 2 0.25 19.38 1034 | 1 0.12 19.50 1045 | 1 0.12 19.62 1056 | 1 0.12 19.75 1100 | 1 0.12 19.88 1110 | 1 0.12 20.00 1125 | 1 0.12 20.12 1130 | 2 0.25 20.38 1132 | 1 0.12 20.50 1200 | 2 0.25 20.75 1205 | 1 0.12 20.88 1214 | 1 0.12 21.00 1245 | 2 0.25 21.25 1310 | 1 0.12 21.38 1318 | 1 0.12 21.50 1321 | 1 0.12 21.62 1345 | 1 0.12 21.75 1400 | 2 0.25 22.00 1415 | 1 0.12 22.12 1428 | 1 0.12 22.25 1433 | 1 0.12 22.38 1435 | 1 0.12 22.50 1450 | 2 0.25 22.75 1457 | 1 0.12 22.88 1500 | 2 0.25 23.12 1515 | 1 0.12 23.25 1518 | 1 0.12 23.38 1530 | 3 0.38 23.75 1532 | 1 0.12 23.88 1533 | 1 0.12 24.00 1545 | 1 0.12 24.12 1550 | 1 0.12 24.25 1600 | 2 0.25 24.50 1606 | 1 0.12 24.62 1607 | 1 0.12 24.75 1610 | 1 0.12 24.88 1627 | 1 0.12 25.00 1628 | 1 0.12 25.12 1630 | 3 0.38 25.50 1635 | 1 0.12 25.62 1640 | 1 0.12 25.75 1641 | 1 0.12 25.88 1650 | 1 0.12 26.00 1700 | 3 0.38 26.38 1708 | 1 0.12 26.50 1715 | 1 0.12 26.62 1725 | 1 0.12 26.75 1730 | 2 0.25 27.00 1735 | 1 0.12 27.12 1744 | 1 0.12 27.25 1750 | 1 0.12 27.38 1757 | 2 0.25 27.62 1800 | 4 0.50 28.12 1815 | 2 0.25 28.38 1820 | 3 0.38 28.75 1828 | 1 0.12 28.88 1830 | 4 0.50 29.38 1838 | 1 0.12 29.50 1840 | 1 0.12 29.62 1845 | 1 0.12 29.75 1900 | 4 0.50 30.25 1905 | 1 0.12 30.38 1915 | 3 0.38 30.75 1920 | 1 0.12 30.88 1923 | 1 0.12 31.00 1925 | 1 0.12 31.12 1930 | 7 0.88 32.00 1935 | 1 0.12 32.12 1940 | 1 0.12 32.25 1945 | 2 0.25 32.50 1949 | 1 0.12 32.62 1950 | 2 0.25 32.88 2000 | 6 0.75 33.62 2005 | 1 0.12 33.75 2007 | 1 0.12 33.88 2015 | 1 0.12 34.00 2020 | 1 0.12 34.12 2025 | 2 0.25 34.38 2030 | 2 0.25 34.62 2032 | 1 0.12 34.75 2035 | 1 0.12 34.88 2040 | 1 0.12 35.00 2049 | 1 0.12 35.12 2050 | 3 0.38 35.50 2052 | 1 0.12 35.62 2058 | 1 0.12 35.75 2100 | 11 1.38 37.12 2102 | 1 0.12 37.25 2115 | 3 0.38 37.62 2120 | 1 0.12 37.75 2125 | 3 0.38 38.12 2130 | 5 0.62 38.75 2140 | 1 0.12 38.88 2143 | 1 0.12 39.00 2145 | 1 0.12 39.12 2150 | 1 0.12 39.25 2155 | 1 0.12 39.38 2200 | 5 0.62 40.00 2202 | 1 0.12 40.12 2210 | 4 0.50 40.62 2220 | 3 0.38 41.00 2230 | 1 0.12 41.12 2240 | 2 0.25 41.38 2245 | 1 0.12 41.50 2250 | 2 0.25 41.75 2255 | 1 0.12 41.88 2300 | 8 1.00 42.88 2315 | 2 0.25 43.12 2320 | 1 0.12 43.25 2325 | 1 0.12 43.38 2330 | 5 0.62 44.00 2333 | 1 0.12 44.12 2349 | 1 0.12 44.25 2350 | 1 0.12 44.38 2353 | 1 0.12 44.50 2355 | 1 0.12 44.62 2357 | 1 0.12 44.75 2358 | 1 0.12 44.88 8888 | 441 55.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for lag_hrs variable in person dataset : Crash to | Death Time | (Hours) | Freq. Percent Cum. ------------+----------------------------------- 0 | 246 30.75 30.75 1 | 18 2.25 33.00 2 | 12 1.50 34.50 3 | 7 0.88 35.38 4 | 3 0.38 35.75 5 | 6 0.75 36.50 6 | 4 0.50 37.00 7 | 2 0.25 37.25 8 | 4 0.50 37.75 10 | 1 0.12 37.88 11 | 4 0.50 38.38 13 | 1 0.12 38.50 14 | 2 0.25 38.75 15 | 1 0.12 38.88 16 | 1 0.12 39.00 17 | 2 0.25 39.25 18 | 1 0.12 39.38 20 | 1 0.12 39.50 22 | 2 0.25 39.75 24 | 1 0.12 39.88 25 | 1 0.12 40.00 29 | 1 0.12 40.12 30 | 1 0.12 40.25 34 | 1 0.12 40.38 38 | 1 0.12 40.50 41 | 1 0.12 40.62 51 | 2 0.25 40.88 52 | 1 0.12 41.00 60 | 1 0.12 41.12 65 | 1 0.12 41.25 87 | 1 0.12 41.38 88 | 1 0.12 41.50 95 | 1 0.12 41.62 96 | 1 0.12 41.75 100 | 1 0.12 41.88 102 | 1 0.12 42.00 110 | 1 0.12 42.12 122 | 1 0.12 42.25 144 | 1 0.12 42.38 166 | 1 0.12 42.50 177 | 1 0.12 42.62 179 | 1 0.12 42.75 185 | 1 0.12 42.88 188 | 1 0.12 43.00 216 | 1 0.12 43.12 218 | 1 0.12 43.25 226 | 1 0.12 43.38 231 | 1 0.12 43.50 237 | 1 0.12 43.62 301 | 1 0.12 43.75 337 | 1 0.12 43.88 374 | 1 0.12 44.00 422 | 1 0.12 44.12 442 | 1 0.12 44.25 474 | 1 0.12 44.38 481 | 1 0.12 44.50 495 | 1 0.12 44.62 544 | 1 0.12 44.75 691 | 1 0.12 44.88 999 | 441 55.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for lag_mins variable in person dataset : Crash to | Death | Minutes | (Minutes) | Freq. Percent Cum. ------------+----------------------------------- 0 | 226 28.25 28.25 1 | 2 0.25 28.50 2 | 1 0.12 28.62 4 | 2 0.25 28.88 5 | 5 0.62 29.50 6 | 1 0.12 29.62 7 | 1 0.12 29.75 8 | 2 0.25 30.00 9 | 2 0.25 30.25 10 | 11 1.38 31.62 13 | 2 0.25 31.88 15 | 3 0.38 32.25 16 | 2 0.25 32.50 17 | 2 0.25 32.75 18 | 1 0.12 32.88 19 | 1 0.12 33.00 20 | 10 1.25 34.25 21 | 1 0.12 34.38 25 | 8 1.00 35.38 28 | 2 0.25 35.62 29 | 1 0.12 35.75 30 | 14 1.75 37.50 31 | 1 0.12 37.62 34 | 1 0.12 37.75 35 | 6 0.75 38.50 36 | 1 0.12 38.62 38 | 1 0.12 38.75 39 | 1 0.12 38.88 40 | 11 1.38 40.25 43 | 1 0.12 40.38 45 | 13 1.62 42.00 46 | 1 0.12 42.12 47 | 1 0.12 42.25 48 | 2 0.25 42.50 49 | 2 0.25 42.75 50 | 8 1.00 43.75 52 | 1 0.12 43.88 54 | 1 0.12 44.00 55 | 3 0.38 44.38 56 | 2 0.25 44.62 57 | 2 0.25 44.88 99 | 441 55.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for p_sf1 variable in person dataset : Related | factors (1) | Freq. Percent Cum. ------------+----------------------------------- 0 | 800 100.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for p_sf2 variable in person dataset : Related | factors (2) | Freq. Percent Cum. ------------+----------------------------------- 0 | 800 100.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for p_sf3 variable in person dataset : Related | factors (3) | Freq. Percent Cum. ------------+----------------------------------- 0 | 800 100.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for cert_no variable in person dataset : Death | Certificate | Number | Freq. Percent Cum. -------------+----------------------------------- ************ | 800 100.00 100.00 -------------+----------------------------------- Total | 800 100.00 Frequencies for work_inj variable in person dataset : Fatal | Injury at | work | Freq. Percent Cum. ------------+----------------------------------- 0 | 358 44.75 44.75 1 | 1 0.12 44.88 8 | 441 55.12 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for hispanic variable in person dataset : Hispanic | Origin | Freq. Percent Cum. ------------+----------------------------------- 0 | 441 55.12 55.12 2 | 359 44.88 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for race variable in person dataset : Race | Freq. Percent Cum. ------------+----------------------------------- 0 | 441 55.12 55.12 1 | 343 42.88 98.00 2 | 16 2.00 100.00 ------------+----------------------------------- Total | 800 100.00 Frequencies for location variable in person dataset : Non-Motoris | t Location | at time of | crash | Freq. Percent Cum. ------------+----------------------------------- 0 | 657 82.12 82.12 2 | 1 0.12 82.25 3 | 1 0.12 82.38 9 | 1 0.12 82.50 11 | 11 1.38 83.88 13 | 104 13.00 96.88 20 | 17 2.12 99.00 22 | 1 0.12 99.12 24 | 1 0.12 99.25 28 | 6 0.75 100.00 ------------+----------------------------------- Total | 800 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016