Frequencies for acc_aux dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for year variable in acc_aux dataset : Crash Date | (Year) | Freq. Percent Cum. ------------+----------------------------------- 2010 | 330 100.00 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for state variable in acc_aux dataset : State | Number | Freq. Percent Cum. ------------+----------------------------------- 43 | 330 100.00 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for st_case variable in acc_aux dataset : Consecutive | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.30 0.30 430002 | 1 0.30 0.61 430003 | 1 0.30 0.91 430004 | 1 0.30 1.21 430005 | 1 0.30 1.52 430006 | 1 0.30 1.82 430007 | 1 0.30 2.12 430008 | 1 0.30 2.42 430010 | 1 0.30 2.73 430011 | 1 0.30 3.03 430012 | 1 0.30 3.33 430013 | 1 0.30 3.64 430014 | 1 0.30 3.94 430015 | 1 0.30 4.24 430017 | 1 0.30 4.55 430018 | 1 0.30 4.85 430019 | 1 0.30 5.15 430020 | 1 0.30 5.45 430021 | 1 0.30 5.76 430022 | 1 0.30 6.06 430023 | 1 0.30 6.36 430024 | 1 0.30 6.67 430025 | 1 0.30 6.97 430026 | 1 0.30 7.27 430027 | 1 0.30 7.58 430028 | 1 0.30 7.88 430029 | 1 0.30 8.18 430030 | 1 0.30 8.48 430031 | 1 0.30 8.79 430032 | 1 0.30 9.09 430033 | 1 0.30 9.39 430034 | 1 0.30 9.70 430035 | 1 0.30 10.00 430036 | 1 0.30 10.30 430037 | 1 0.30 10.61 430038 | 1 0.30 10.91 430039 | 1 0.30 11.21 430040 | 1 0.30 11.52 430041 | 1 0.30 11.82 430042 | 1 0.30 12.12 430043 | 1 0.30 12.42 430044 | 1 0.30 12.73 430045 | 1 0.30 13.03 430046 | 1 0.30 13.33 430047 | 1 0.30 13.64 430048 | 1 0.30 13.94 430049 | 1 0.30 14.24 430050 | 1 0.30 14.55 430051 | 1 0.30 14.85 430052 | 1 0.30 15.15 430053 | 1 0.30 15.45 430054 | 1 0.30 15.76 430055 | 1 0.30 16.06 430056 | 1 0.30 16.36 430057 | 1 0.30 16.67 430058 | 1 0.30 16.97 430059 | 1 0.30 17.27 430060 | 1 0.30 17.58 430062 | 1 0.30 17.88 430063 | 1 0.30 18.18 430064 | 1 0.30 18.48 430065 | 1 0.30 18.79 430066 | 1 0.30 19.09 430067 | 1 0.30 19.39 430068 | 1 0.30 19.70 430069 | 1 0.30 20.00 430070 | 1 0.30 20.30 430071 | 1 0.30 20.61 430072 | 1 0.30 20.91 430073 | 1 0.30 21.21 430074 | 1 0.30 21.52 430075 | 1 0.30 21.82 430076 | 1 0.30 22.12 430077 | 1 0.30 22.42 430078 | 1 0.30 22.73 430079 | 1 0.30 23.03 430080 | 1 0.30 23.33 430081 | 1 0.30 23.64 430082 | 1 0.30 23.94 430083 | 1 0.30 24.24 430084 | 1 0.30 24.55 430085 | 1 0.30 24.85 430086 | 1 0.30 25.15 430087 | 1 0.30 25.45 430088 | 1 0.30 25.76 430089 | 1 0.30 26.06 430090 | 1 0.30 26.36 430091 | 1 0.30 26.67 430092 | 1 0.30 26.97 430093 | 1 0.30 27.27 430094 | 1 0.30 27.58 430095 | 1 0.30 27.88 430096 | 1 0.30 28.18 430097 | 1 0.30 28.48 430098 | 1 0.30 28.79 430099 | 1 0.30 29.09 430100 | 1 0.30 29.39 430101 | 1 0.30 29.70 430102 | 1 0.30 30.00 430103 | 1 0.30 30.30 430104 | 1 0.30 30.61 430105 | 1 0.30 30.91 430106 | 1 0.30 31.21 430107 | 1 0.30 31.52 430108 | 1 0.30 31.82 430109 | 1 0.30 32.12 430110 | 1 0.30 32.42 430111 | 1 0.30 32.73 430112 | 1 0.30 33.03 430113 | 1 0.30 33.33 430114 | 1 0.30 33.64 430115 | 1 0.30 33.94 430116 | 1 0.30 34.24 430117 | 1 0.30 34.55 430118 | 1 0.30 34.85 430119 | 1 0.30 35.15 430120 | 1 0.30 35.45 430121 | 1 0.30 35.76 430122 | 1 0.30 36.06 430123 | 1 0.30 36.36 430124 | 1 0.30 36.67 430125 | 1 0.30 36.97 430126 | 1 0.30 37.27 430127 | 1 0.30 37.58 430128 | 1 0.30 37.88 430129 | 1 0.30 38.18 430130 | 1 0.30 38.48 430131 | 1 0.30 38.79 430132 | 1 0.30 39.09 430133 | 1 0.30 39.39 430134 | 1 0.30 39.70 430135 | 1 0.30 40.00 430136 | 1 0.30 40.30 430137 | 1 0.30 40.61 430138 | 1 0.30 40.91 430139 | 1 0.30 41.21 430140 | 1 0.30 41.52 430141 | 1 0.30 41.82 430142 | 1 0.30 42.12 430143 | 1 0.30 42.42 430144 | 1 0.30 42.73 430145 | 1 0.30 43.03 430146 | 1 0.30 43.33 430147 | 1 0.30 43.64 430148 | 1 0.30 43.94 430149 | 1 0.30 44.24 430150 | 1 0.30 44.55 430151 | 1 0.30 44.85 430152 | 1 0.30 45.15 430153 | 1 0.30 45.45 430154 | 1 0.30 45.76 430155 | 1 0.30 46.06 430156 | 1 0.30 46.36 430157 | 1 0.30 46.67 430158 | 1 0.30 46.97 430159 | 1 0.30 47.27 430160 | 1 0.30 47.58 430161 | 1 0.30 47.88 430162 | 1 0.30 48.18 430163 | 1 0.30 48.48 430164 | 1 0.30 48.79 430165 | 1 0.30 49.09 430166 | 1 0.30 49.39 430167 | 1 0.30 49.70 430168 | 1 0.30 50.00 430169 | 1 0.30 50.30 430170 | 1 0.30 50.61 430171 | 1 0.30 50.91 430172 | 1 0.30 51.21 430173 | 1 0.30 51.52 430174 | 1 0.30 51.82 430175 | 1 0.30 52.12 430176 | 1 0.30 52.42 430177 | 1 0.30 52.73 430178 | 1 0.30 53.03 430179 | 1 0.30 53.33 430180 | 1 0.30 53.64 430181 | 1 0.30 53.94 430182 | 1 0.30 54.24 430183 | 1 0.30 54.55 430184 | 1 0.30 54.85 430185 | 1 0.30 55.15 430186 | 1 0.30 55.45 430187 | 1 0.30 55.76 430188 | 1 0.30 56.06 430189 | 1 0.30 56.36 430190 | 1 0.30 56.67 430191 | 1 0.30 56.97 430192 | 1 0.30 57.27 430193 | 1 0.30 57.58 430194 | 1 0.30 57.88 430195 | 1 0.30 58.18 430196 | 1 0.30 58.48 430197 | 1 0.30 58.79 430198 | 1 0.30 59.09 430199 | 1 0.30 59.39 430200 | 1 0.30 59.70 430201 | 1 0.30 60.00 430202 | 1 0.30 60.30 430203 | 1 0.30 60.61 430204 | 1 0.30 60.91 430205 | 1 0.30 61.21 430206 | 1 0.30 61.52 430207 | 1 0.30 61.82 430208 | 1 0.30 62.12 430209 | 1 0.30 62.42 430210 | 1 0.30 62.73 430211 | 1 0.30 63.03 430212 | 1 0.30 63.33 430213 | 1 0.30 63.64 430214 | 1 0.30 63.94 430215 | 1 0.30 64.24 430216 | 1 0.30 64.55 430217 | 1 0.30 64.85 430218 | 1 0.30 65.15 430219 | 1 0.30 65.45 430220 | 1 0.30 65.76 430221 | 1 0.30 66.06 430222 | 1 0.30 66.36 430223 | 1 0.30 66.67 430224 | 1 0.30 66.97 430225 | 1 0.30 67.27 430226 | 1 0.30 67.58 430227 | 1 0.30 67.88 430228 | 1 0.30 68.18 430229 | 1 0.30 68.48 430230 | 1 0.30 68.79 430231 | 1 0.30 69.09 430232 | 1 0.30 69.39 430233 | 1 0.30 69.70 430234 | 1 0.30 70.00 430235 | 1 0.30 70.30 430236 | 1 0.30 70.61 430237 | 1 0.30 70.91 430238 | 1 0.30 71.21 430239 | 1 0.30 71.52 430240 | 1 0.30 71.82 430241 | 1 0.30 72.12 430242 | 1 0.30 72.42 430243 | 1 0.30 72.73 430244 | 1 0.30 73.03 430245 | 1 0.30 73.33 430246 | 1 0.30 73.64 430247 | 1 0.30 73.94 430248 | 1 0.30 74.24 430249 | 1 0.30 74.55 430250 | 1 0.30 74.85 430251 | 1 0.30 75.15 430252 | 1 0.30 75.45 430253 | 1 0.30 75.76 430254 | 1 0.30 76.06 430255 | 1 0.30 76.36 430256 | 1 0.30 76.67 430257 | 1 0.30 76.97 430258 | 1 0.30 77.27 430259 | 1 0.30 77.58 430260 | 1 0.30 77.88 430261 | 1 0.30 78.18 430262 | 1 0.30 78.48 430263 | 1 0.30 78.79 430264 | 1 0.30 79.09 430265 | 1 0.30 79.39 430266 | 1 0.30 79.70 430267 | 1 0.30 80.00 430268 | 1 0.30 80.30 430269 | 1 0.30 80.61 430270 | 1 0.30 80.91 430271 | 1 0.30 81.21 430272 | 1 0.30 81.52 430273 | 1 0.30 81.82 430274 | 1 0.30 82.12 430275 | 1 0.30 82.42 430276 | 1 0.30 82.73 430277 | 1 0.30 83.03 430278 | 1 0.30 83.33 430279 | 1 0.30 83.64 430280 | 1 0.30 83.94 430281 | 1 0.30 84.24 430282 | 1 0.30 84.55 430283 | 1 0.30 84.85 430284 | 1 0.30 85.15 430285 | 1 0.30 85.45 430286 | 1 0.30 85.76 430287 | 1 0.30 86.06 430288 | 1 0.30 86.36 430289 | 1 0.30 86.67 430290 | 1 0.30 86.97 430291 | 1 0.30 87.27 430292 | 1 0.30 87.58 430293 | 1 0.30 87.88 430294 | 1 0.30 88.18 430295 | 1 0.30 88.48 430296 | 1 0.30 88.79 430297 | 1 0.30 89.09 430298 | 1 0.30 89.39 430299 | 1 0.30 89.70 430300 | 1 0.30 90.00 430301 | 1 0.30 90.30 430302 | 1 0.30 90.61 430303 | 1 0.30 90.91 430304 | 1 0.30 91.21 430305 | 1 0.30 91.52 430306 | 1 0.30 91.82 430307 | 1 0.30 92.12 430308 | 1 0.30 92.42 430309 | 1 0.30 92.73 430310 | 1 0.30 93.03 430311 | 1 0.30 93.33 430312 | 1 0.30 93.64 430313 | 1 0.30 93.94 430314 | 1 0.30 94.24 430315 | 1 0.30 94.55 430316 | 1 0.30 94.85 430317 | 1 0.30 95.15 430318 | 1 0.30 95.45 430319 | 1 0.30 95.76 430320 | 1 0.30 96.06 430321 | 1 0.30 96.36 430322 | 1 0.30 96.67 430323 | 1 0.30 96.97 430324 | 1 0.30 97.27 430325 | 1 0.30 97.58 430326 | 1 0.30 97.88 430327 | 1 0.30 98.18 430328 | 1 0.30 98.48 430329 | 1 0.30 98.79 430330 | 1 0.30 99.09 430331 | 1 0.30 99.39 430332 | 1 0.30 99.70 430333 | 1 0.30 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for county variable in acc_aux dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 330 100.00 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for fatals variable in acc_aux dataset : Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 320 96.97 96.97 2 | 10 3.03 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 330 100.00 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 330 100.00 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 158 47.88 47.88 2 | 172 52.12 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 57 17.27 17.27 2 | 273 82.73 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 202 61.21 61.21 2 | 8 2.42 63.64 3 | 16 4.85 68.48 4 | 104 31.52 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 42 12.73 12.73 2 | 287 86.97 99.70 3 | 1 0.30 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 57 17.27 17.27 2 | 11 3.33 20.61 3 | 65 19.70 40.30 4 | 92 27.88 68.18 5 | 58 17.58 85.76 6 | 47 14.24 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 42 12.73 12.73 2 | 287 86.97 99.70 4 | 1 0.30 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 233 70.61 70.61 2 | 18 5.45 76.06 3 | 24 7.27 83.33 4 | 41 12.42 95.76 5 | 14 4.24 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 120 36.36 36.36 2 | 210 63.64 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 164 49.70 49.70 2 | 166 50.30 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 231 70.00 70.00 2 | 84 25.45 95.45 3 | 15 4.55 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 16 4.85 4.85 2 | 314 95.15 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 49 14.85 14.85 2 | 281 85.15 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 131 39.70 39.70 2 | 199 60.30 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 100 30.30 30.30 2 | 230 69.70 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 16 4.85 4.85 2 | 314 95.15 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 22 6.67 6.67 2 | 308 93.33 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 330 100.00 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 80 24.24 24.24 2 | 154 46.67 70.91 3 | 96 29.09 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 39 11.82 11.82 2 | 291 88.18 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 38 11.52 11.52 2 | 292 88.48 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 47 14.24 14.24 2 | 283 85.76 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 46 13.94 13.94 2 | 284 86.06 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 37 11.21 11.21 2 | 293 88.79 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 57 17.27 17.27 2 | 273 82.73 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 98 29.70 29.70 2 | 232 70.30 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 1 | 101 30.61 30.61 2 | 229 69.39 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 23 6.97 6.97 2 | 307 93.03 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.30 0.30 2 | 329 99.70 100.00 ------------+----------------------------------- Total | 330 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.61 0.61 2 | 328 99.39 100.00 ------------+----------------------------------- Total | 330 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016