Frequencies for veh_aux dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for year variable in veh_aux dataset : year | Freq. Percent Cum. ------------+----------------------------------- 2010 | 448 100.00 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for st_case variable in veh_aux dataset : Consecutive | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.22 0.22 430002 | 1 0.22 0.45 430003 | 1 0.22 0.67 430004 | 2 0.45 1.12 430005 | 1 0.22 1.34 430006 | 1 0.22 1.56 430007 | 1 0.22 1.79 430008 | 1 0.22 2.01 430010 | 1 0.22 2.23 430011 | 1 0.22 2.46 430012 | 1 0.22 2.68 430013 | 2 0.45 3.12 430014 | 1 0.22 3.35 430015 | 2 0.45 3.79 430017 | 2 0.45 4.24 430018 | 1 0.22 4.46 430019 | 1 0.22 4.69 430020 | 1 0.22 4.91 430021 | 1 0.22 5.13 430022 | 3 0.67 5.80 430023 | 2 0.45 6.25 430024 | 1 0.22 6.47 430025 | 1 0.22 6.70 430026 | 1 0.22 6.92 430027 | 1 0.22 7.14 430028 | 1 0.22 7.37 430029 | 2 0.45 7.81 430030 | 1 0.22 8.04 430031 | 1 0.22 8.26 430032 | 1 0.22 8.48 430033 | 1 0.22 8.71 430034 | 1 0.22 8.93 430035 | 2 0.45 9.38 430036 | 1 0.22 9.60 430037 | 1 0.22 9.82 430038 | 2 0.45 10.27 430039 | 2 0.45 10.71 430040 | 1 0.22 10.94 430041 | 1 0.22 11.16 430042 | 1 0.22 11.38 430043 | 1 0.22 11.61 430044 | 3 0.67 12.28 430045 | 1 0.22 12.50 430046 | 1 0.22 12.72 430047 | 2 0.45 13.17 430048 | 1 0.22 13.39 430049 | 1 0.22 13.62 430050 | 1 0.22 13.84 430051 | 2 0.45 14.29 430052 | 2 0.45 14.73 430053 | 2 0.45 15.18 430054 | 1 0.22 15.40 430055 | 4 0.89 16.29 430056 | 3 0.67 16.96 430057 | 1 0.22 17.19 430058 | 1 0.22 17.41 430059 | 1 0.22 17.63 430060 | 1 0.22 17.86 430062 | 1 0.22 18.08 430063 | 1 0.22 18.30 430064 | 2 0.45 18.75 430065 | 1 0.22 18.97 430066 | 1 0.22 19.20 430067 | 1 0.22 19.42 430068 | 1 0.22 19.64 430069 | 4 0.89 20.54 430070 | 2 0.45 20.98 430071 | 1 0.22 21.21 430072 | 1 0.22 21.43 430073 | 1 0.22 21.65 430074 | 1 0.22 21.88 430075 | 1 0.22 22.10 430076 | 1 0.22 22.32 430077 | 1 0.22 22.54 430078 | 2 0.45 22.99 430079 | 1 0.22 23.21 430080 | 1 0.22 23.44 430081 | 1 0.22 23.66 430082 | 2 0.45 24.11 430083 | 1 0.22 24.33 430084 | 1 0.22 24.55 430085 | 2 0.45 25.00 430086 | 1 0.22 25.22 430087 | 1 0.22 25.45 430088 | 2 0.45 25.89 430089 | 1 0.22 26.12 430090 | 2 0.45 26.56 430091 | 2 0.45 27.01 430092 | 1 0.22 27.23 430093 | 1 0.22 27.46 430094 | 1 0.22 27.68 430095 | 1 0.22 27.90 430096 | 1 0.22 28.12 430097 | 2 0.45 28.57 430098 | 1 0.22 28.79 430099 | 1 0.22 29.02 430100 | 2 0.45 29.46 430101 | 1 0.22 29.69 430102 | 1 0.22 29.91 430103 | 3 0.67 30.58 430104 | 1 0.22 30.80 430105 | 1 0.22 31.03 430106 | 1 0.22 31.25 430107 | 2 0.45 31.70 430108 | 1 0.22 31.92 430109 | 1 0.22 32.14 430110 | 2 0.45 32.59 430111 | 1 0.22 32.81 430112 | 1 0.22 33.04 430113 | 2 0.45 33.48 430114 | 1 0.22 33.71 430115 | 1 0.22 33.93 430116 | 1 0.22 34.15 430117 | 2 0.45 34.60 430118 | 1 0.22 34.82 430119 | 1 0.22 35.04 430120 | 1 0.22 35.27 430121 | 1 0.22 35.49 430122 | 1 0.22 35.71 430123 | 1 0.22 35.94 430124 | 1 0.22 36.16 430125 | 1 0.22 36.38 430126 | 1 0.22 36.61 430127 | 1 0.22 36.83 430128 | 2 0.45 37.28 430129 | 1 0.22 37.50 430130 | 2 0.45 37.95 430131 | 1 0.22 38.17 430132 | 1 0.22 38.39 430133 | 2 0.45 38.84 430134 | 1 0.22 39.06 430135 | 1 0.22 39.29 430136 | 1 0.22 39.51 430137 | 1 0.22 39.73 430138 | 1 0.22 39.96 430139 | 2 0.45 40.40 430140 | 1 0.22 40.62 430141 | 1 0.22 40.85 430142 | 1 0.22 41.07 430143 | 1 0.22 41.29 430144 | 1 0.22 41.52 430145 | 1 0.22 41.74 430146 | 4 0.89 42.63 430147 | 2 0.45 43.08 430148 | 1 0.22 43.30 430149 | 2 0.45 43.75 430150 | 1 0.22 43.97 430151 | 1 0.22 44.20 430152 | 1 0.22 44.42 430153 | 1 0.22 44.64 430154 | 1 0.22 44.87 430155 | 2 0.45 45.31 430156 | 2 0.45 45.76 430157 | 2 0.45 46.21 430158 | 1 0.22 46.43 430159 | 1 0.22 46.65 430160 | 1 0.22 46.87 430161 | 1 0.22 47.10 430162 | 2 0.45 47.54 430163 | 1 0.22 47.77 430164 | 2 0.45 48.21 430165 | 1 0.22 48.44 430166 | 1 0.22 48.66 430167 | 2 0.45 49.11 430168 | 1 0.22 49.33 430169 | 1 0.22 49.55 430170 | 2 0.45 50.00 430171 | 3 0.67 50.67 430172 | 2 0.45 51.12 430173 | 1 0.22 51.34 430174 | 1 0.22 51.56 430175 | 1 0.22 51.79 430176 | 1 0.22 52.01 430177 | 2 0.45 52.46 430178 | 2 0.45 52.90 430179 | 4 0.89 53.79 430180 | 1 0.22 54.02 430181 | 2 0.45 54.46 430182 | 2 0.45 54.91 430183 | 1 0.22 55.13 430184 | 1 0.22 55.36 430185 | 1 0.22 55.58 430186 | 1 0.22 55.80 430187 | 2 0.45 56.25 430188 | 3 0.67 56.92 430189 | 2 0.45 57.37 430190 | 1 0.22 57.59 430191 | 2 0.45 58.04 430192 | 1 0.22 58.26 430193 | 1 0.22 58.48 430194 | 1 0.22 58.71 430195 | 3 0.67 59.37 430196 | 1 0.22 59.60 430197 | 1 0.22 59.82 430198 | 1 0.22 60.04 430199 | 1 0.22 60.27 430200 | 2 0.45 60.71 430201 | 1 0.22 60.94 430202 | 1 0.22 61.16 430203 | 3 0.67 61.83 430204 | 1 0.22 62.05 430205 | 1 0.22 62.28 430206 | 2 0.45 62.72 430207 | 2 0.45 63.17 430208 | 1 0.22 63.39 430209 | 1 0.22 63.62 430210 | 1 0.22 63.84 430211 | 1 0.22 64.06 430212 | 1 0.22 64.29 430213 | 2 0.45 64.73 430214 | 1 0.22 64.96 430215 | 1 0.22 65.18 430216 | 1 0.22 65.40 430217 | 1 0.22 65.62 430218 | 1 0.22 65.85 430219 | 2 0.45 66.29 430220 | 1 0.22 66.52 430221 | 1 0.22 66.74 430222 | 1 0.22 66.96 430223 | 1 0.22 67.19 430224 | 1 0.22 67.41 430225 | 1 0.22 67.63 430226 | 1 0.22 67.86 430227 | 2 0.45 68.30 430228 | 1 0.22 68.53 430229 | 1 0.22 68.75 430230 | 1 0.22 68.97 430231 | 2 0.45 69.42 430232 | 1 0.22 69.64 430233 | 2 0.45 70.09 430234 | 1 0.22 70.31 430235 | 2 0.45 70.76 430236 | 3 0.67 71.43 430237 | 1 0.22 71.65 430238 | 1 0.22 71.87 430239 | 1 0.22 72.10 430240 | 2 0.45 72.54 430241 | 1 0.22 72.77 430242 | 1 0.22 72.99 430243 | 1 0.22 73.21 430244 | 1 0.22 73.44 430245 | 1 0.22 73.66 430246 | 2 0.45 74.11 430247 | 1 0.22 74.33 430248 | 2 0.45 74.78 430249 | 1 0.22 75.00 430250 | 1 0.22 75.22 430251 | 2 0.45 75.67 430252 | 1 0.22 75.89 430253 | 2 0.45 76.34 430254 | 1 0.22 76.56 430255 | 1 0.22 76.79 430256 | 1 0.22 77.01 430257 | 1 0.22 77.23 430258 | 2 0.45 77.68 430259 | 2 0.45 78.13 430260 | 1 0.22 78.35 430261 | 2 0.45 78.79 430262 | 1 0.22 79.02 430263 | 1 0.22 79.24 430264 | 1 0.22 79.46 430265 | 1 0.22 79.69 430266 | 1 0.22 79.91 430267 | 1 0.22 80.13 430268 | 1 0.22 80.36 430269 | 2 0.45 80.80 430270 | 1 0.22 81.03 430271 | 1 0.22 81.25 430272 | 1 0.22 81.47 430273 | 1 0.22 81.70 430274 | 2 0.45 82.14 430275 | 2 0.45 82.59 430276 | 1 0.22 82.81 430277 | 1 0.22 83.04 430278 | 1 0.22 83.26 430279 | 1 0.22 83.48 430280 | 1 0.22 83.71 430281 | 2 0.45 84.15 430282 | 1 0.22 84.38 430283 | 1 0.22 84.60 430284 | 1 0.22 84.82 430285 | 1 0.22 85.04 430286 | 1 0.22 85.27 430287 | 1 0.22 85.49 430288 | 2 0.45 85.94 430289 | 1 0.22 86.16 430290 | 1 0.22 86.38 430291 | 2 0.45 86.83 430292 | 1 0.22 87.05 430293 | 1 0.22 87.28 430294 | 2 0.45 87.72 430295 | 1 0.22 87.95 430296 | 2 0.45 88.39 430297 | 1 0.22 88.62 430298 | 1 0.22 88.84 430299 | 2 0.45 89.29 430300 | 1 0.22 89.51 430301 | 1 0.22 89.73 430302 | 2 0.45 90.18 430303 | 1 0.22 90.40 430304 | 2 0.45 90.85 430305 | 1 0.22 91.07 430306 | 2 0.45 91.52 430307 | 1 0.22 91.74 430308 | 2 0.45 92.19 430309 | 1 0.22 92.41 430310 | 1 0.22 92.63 430311 | 1 0.22 92.86 430312 | 2 0.45 93.30 430313 | 1 0.22 93.53 430314 | 1 0.22 93.75 430315 | 1 0.22 93.97 430316 | 1 0.22 94.20 430317 | 1 0.22 94.42 430318 | 2 0.45 94.87 430319 | 1 0.22 95.09 430320 | 1 0.22 95.31 430321 | 1 0.22 95.54 430322 | 1 0.22 95.76 430323 | 1 0.22 95.98 430324 | 2 0.45 96.43 430325 | 1 0.22 96.65 430326 | 1 0.22 96.88 430327 | 2 0.45 97.32 430328 | 2 0.45 97.77 430329 | 3 0.67 98.44 430330 | 3 0.67 99.11 430331 | 1 0.22 99.33 430332 | 2 0.45 99.78 430333 | 1 0.22 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for veh_no variable in veh_aux dataset : Vehicle | Number | Freq. Percent Cum. ------------+----------------------------------- 1 | 330 73.66 73.66 2 | 99 22.10 95.76 3 | 15 3.35 99.11 4 | 4 0.89 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_body variable in veh_aux dataset : Vehicle | Body Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 219 48.88 48.88 2 | 40 8.93 57.81 3 | 79 17.63 75.45 4 | 18 4.02 79.46 6 | 16 3.57 83.04 7 | 50 11.16 94.20 8 | 4 0.89 95.09 9 | 22 4.91 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_imp1 variable in veh_aux dataset : Intial | Impact | Point | Freq. Percent Cum. ------------+----------------------------------- 1 | 13 2.90 2.90 2 | 302 67.41 70.31 3 | 53 11.83 82.14 4 | 32 7.14 89.29 5 | 48 10.71 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_imp2 variable in veh_aux dataset : Principal | Impact | Point | Freq. Percent Cum. ------------+----------------------------------- 1 | 15 3.35 3.35 2 | 294 65.62 68.97 3 | 46 10.27 79.24 4 | 30 6.70 85.94 5 | 46 10.27 96.21 6 | 16 3.57 99.78 7 | 1 0.22 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_vroll variable in veh_aux dataset : Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 22 4.91 4.91 2 | 426 95.09 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_lic_s variable in veh_aux dataset : License | Status | Freq. Percent Cum. ------------+----------------------------------- 1 | 188 41.96 41.96 2 | 19 4.24 46.21 3 | 191 42.63 88.84 4 | 50 11.16 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_lic_c variable in veh_aux dataset : License | Compliance | Freq. Percent Cum. ------------+----------------------------------- 1 | 201 44.87 44.87 2 | 36 8.04 52.90 3 | 211 47.10 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_cdl_s variable in veh_aux dataset : CDL Status | Freq. Percent Cum. ------------+----------------------------------- 1 | 5 1.12 1.12 2 | 232 51.79 52.90 3 | 211 47.10 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_mc_l_s variable in veh_aux dataset : Motorcycle | License | Status | Freq. Percent Cum. ------------+----------------------------------- 1 | 17 3.79 3.79 2 | 13 2.90 6.70 3 | 20 4.46 11.16 4 | 398 88.84 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_spveh variable in veh_aux dataset : Speeding | Vehicle | Freq. Percent Cum. ------------+----------------------------------- 1 | 134 29.91 29.91 2 | 314 70.09 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_sbus variable in veh_aux dataset : School Bus | Freq. Percent Cum. ------------+----------------------------------- 3 | 448 100.00 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_mod_yr variable in veh_aux dataset : Vehicle | Model Year | Freq. Percent Cum. ------------+----------------------------------- 1978 | 1 0.22 0.22 1980 | 1 0.22 0.45 1982 | 2 0.45 0.89 1984 | 3 0.67 1.56 1985 | 4 0.89 2.46 1986 | 6 1.34 3.79 1987 | 5 1.12 4.91 1988 | 6 1.34 6.25 1989 | 6 1.34 7.59 1990 | 13 2.90 10.49 1991 | 3 0.67 11.16 1992 | 11 2.46 13.62 1993 | 15 3.35 16.96 1994 | 14 3.12 20.09 1995 | 23 5.13 25.22 1996 | 14 3.12 28.35 1997 | 17 3.79 32.14 1998 | 12 2.68 34.82 1999 | 19 4.24 39.06 2000 | 19 4.24 43.30 2001 | 31 6.92 50.22 2002 | 28 6.25 56.47 2003 | 22 4.91 61.38 2004 | 27 6.03 67.41 2005 | 29 6.47 73.88 2006 | 27 6.03 79.91 2007 | 18 4.02 83.93 2008 | 18 4.02 87.95 2009 | 18 4.02 91.96 2010 | 5 1.12 93.08 2011 | 1 0.22 93.30 9999 | 30 6.70 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_drdis variable in veh_aux dataset : Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.22 0.22 2 | 447 99.78 100.00 ------------+----------------------------------- Total | 448 100.00 Frequencies for a_drdro variable in veh_aux dataset : Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.45 0.45 2 | 446 99.55 100.00 ------------+----------------------------------- Total | 448 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016