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. ------------+----------------------------------- 2011 | 341 100.00 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for state variable in acc_aux dataset : State | Number | Freq. Percent Cum. ------------+----------------------------------- 43 | 341 100.00 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for st_case variable in acc_aux dataset : Consecutive | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.29 0.29 430002 | 1 0.29 0.59 430003 | 1 0.29 0.88 430005 | 1 0.29 1.17 430006 | 1 0.29 1.47 430007 | 1 0.29 1.76 430008 | 1 0.29 2.05 430009 | 1 0.29 2.35 430010 | 1 0.29 2.64 430011 | 1 0.29 2.93 430012 | 1 0.29 3.23 430013 | 1 0.29 3.52 430014 | 1 0.29 3.81 430015 | 1 0.29 4.11 430016 | 1 0.29 4.40 430017 | 1 0.29 4.69 430018 | 1 0.29 4.99 430019 | 1 0.29 5.28 430020 | 1 0.29 5.57 430021 | 1 0.29 5.87 430022 | 1 0.29 6.16 430023 | 1 0.29 6.45 430024 | 1 0.29 6.74 430025 | 1 0.29 7.04 430026 | 1 0.29 7.33 430027 | 1 0.29 7.62 430028 | 1 0.29 7.92 430029 | 1 0.29 8.21 430030 | 1 0.29 8.50 430031 | 1 0.29 8.80 430032 | 1 0.29 9.09 430033 | 1 0.29 9.38 430034 | 1 0.29 9.68 430035 | 1 0.29 9.97 430036 | 1 0.29 10.26 430037 | 1 0.29 10.56 430038 | 1 0.29 10.85 430039 | 1 0.29 11.14 430040 | 1 0.29 11.44 430041 | 1 0.29 11.73 430042 | 1 0.29 12.02 430043 | 1 0.29 12.32 430044 | 1 0.29 12.61 430045 | 1 0.29 12.90 430046 | 1 0.29 13.20 430047 | 1 0.29 13.49 430048 | 1 0.29 13.78 430049 | 1 0.29 14.08 430050 | 1 0.29 14.37 430051 | 1 0.29 14.66 430052 | 1 0.29 14.96 430053 | 1 0.29 15.25 430054 | 1 0.29 15.54 430055 | 1 0.29 15.84 430056 | 1 0.29 16.13 430057 | 1 0.29 16.42 430058 | 1 0.29 16.72 430059 | 1 0.29 17.01 430060 | 1 0.29 17.30 430061 | 1 0.29 17.60 430062 | 1 0.29 17.89 430063 | 1 0.29 18.18 430064 | 1 0.29 18.48 430065 | 1 0.29 18.77 430066 | 1 0.29 19.06 430067 | 1 0.29 19.35 430068 | 1 0.29 19.65 430069 | 1 0.29 19.94 430070 | 1 0.29 20.23 430071 | 1 0.29 20.53 430072 | 1 0.29 20.82 430073 | 1 0.29 21.11 430074 | 1 0.29 21.41 430075 | 1 0.29 21.70 430076 | 1 0.29 21.99 430077 | 1 0.29 22.29 430078 | 1 0.29 22.58 430079 | 1 0.29 22.87 430080 | 1 0.29 23.17 430081 | 1 0.29 23.46 430082 | 1 0.29 23.75 430083 | 1 0.29 24.05 430084 | 1 0.29 24.34 430085 | 1 0.29 24.63 430086 | 1 0.29 24.93 430087 | 1 0.29 25.22 430088 | 1 0.29 25.51 430089 | 1 0.29 25.81 430090 | 1 0.29 26.10 430091 | 1 0.29 26.39 430092 | 1 0.29 26.69 430093 | 1 0.29 26.98 430094 | 1 0.29 27.27 430095 | 1 0.29 27.57 430096 | 1 0.29 27.86 430097 | 1 0.29 28.15 430098 | 1 0.29 28.45 430099 | 1 0.29 28.74 430100 | 1 0.29 29.03 430101 | 1 0.29 29.33 430102 | 1 0.29 29.62 430103 | 1 0.29 29.91 430104 | 1 0.29 30.21 430105 | 1 0.29 30.50 430106 | 1 0.29 30.79 430107 | 1 0.29 31.09 430108 | 1 0.29 31.38 430109 | 1 0.29 31.67 430110 | 1 0.29 31.96 430111 | 1 0.29 32.26 430112 | 1 0.29 32.55 430113 | 1 0.29 32.84 430114 | 1 0.29 33.14 430115 | 1 0.29 33.43 430116 | 1 0.29 33.72 430117 | 1 0.29 34.02 430118 | 1 0.29 34.31 430119 | 1 0.29 34.60 430120 | 1 0.29 34.90 430121 | 1 0.29 35.19 430122 | 1 0.29 35.48 430123 | 1 0.29 35.78 430124 | 1 0.29 36.07 430125 | 1 0.29 36.36 430126 | 1 0.29 36.66 430127 | 1 0.29 36.95 430128 | 1 0.29 37.24 430129 | 1 0.29 37.54 430130 | 1 0.29 37.83 430131 | 1 0.29 38.12 430132 | 1 0.29 38.42 430133 | 1 0.29 38.71 430134 | 1 0.29 39.00 430135 | 1 0.29 39.30 430136 | 1 0.29 39.59 430137 | 1 0.29 39.88 430138 | 1 0.29 40.18 430139 | 1 0.29 40.47 430140 | 1 0.29 40.76 430141 | 1 0.29 41.06 430142 | 1 0.29 41.35 430143 | 1 0.29 41.64 430144 | 1 0.29 41.94 430145 | 1 0.29 42.23 430146 | 1 0.29 42.52 430147 | 1 0.29 42.82 430148 | 1 0.29 43.11 430149 | 1 0.29 43.40 430150 | 1 0.29 43.70 430151 | 1 0.29 43.99 430152 | 1 0.29 44.28 430153 | 1 0.29 44.57 430154 | 1 0.29 44.87 430155 | 1 0.29 45.16 430156 | 1 0.29 45.45 430157 | 1 0.29 45.75 430158 | 1 0.29 46.04 430159 | 1 0.29 46.33 430160 | 1 0.29 46.63 430161 | 1 0.29 46.92 430162 | 1 0.29 47.21 430163 | 1 0.29 47.51 430164 | 1 0.29 47.80 430165 | 1 0.29 48.09 430166 | 1 0.29 48.39 430167 | 1 0.29 48.68 430168 | 1 0.29 48.97 430169 | 1 0.29 49.27 430170 | 1 0.29 49.56 430171 | 1 0.29 49.85 430172 | 1 0.29 50.15 430173 | 1 0.29 50.44 430174 | 1 0.29 50.73 430175 | 1 0.29 51.03 430176 | 1 0.29 51.32 430177 | 1 0.29 51.61 430178 | 1 0.29 51.91 430179 | 1 0.29 52.20 430180 | 1 0.29 52.49 430181 | 1 0.29 52.79 430182 | 1 0.29 53.08 430183 | 1 0.29 53.37 430184 | 1 0.29 53.67 430185 | 1 0.29 53.96 430186 | 1 0.29 54.25 430187 | 1 0.29 54.55 430188 | 1 0.29 54.84 430189 | 1 0.29 55.13 430190 | 1 0.29 55.43 430191 | 1 0.29 55.72 430192 | 1 0.29 56.01 430193 | 1 0.29 56.30 430194 | 1 0.29 56.60 430195 | 1 0.29 56.89 430196 | 1 0.29 57.18 430197 | 1 0.29 57.48 430198 | 1 0.29 57.77 430199 | 1 0.29 58.06 430200 | 1 0.29 58.36 430201 | 1 0.29 58.65 430202 | 1 0.29 58.94 430203 | 1 0.29 59.24 430204 | 1 0.29 59.53 430205 | 1 0.29 59.82 430206 | 1 0.29 60.12 430207 | 1 0.29 60.41 430208 | 1 0.29 60.70 430209 | 1 0.29 61.00 430210 | 1 0.29 61.29 430211 | 1 0.29 61.58 430212 | 1 0.29 61.88 430213 | 1 0.29 62.17 430214 | 1 0.29 62.46 430215 | 1 0.29 62.76 430216 | 1 0.29 63.05 430217 | 1 0.29 63.34 430218 | 1 0.29 63.64 430219 | 1 0.29 63.93 430220 | 1 0.29 64.22 430221 | 1 0.29 64.52 430222 | 1 0.29 64.81 430223 | 1 0.29 65.10 430224 | 1 0.29 65.40 430225 | 1 0.29 65.69 430226 | 1 0.29 65.98 430227 | 1 0.29 66.28 430228 | 1 0.29 66.57 430229 | 1 0.29 66.86 430230 | 1 0.29 67.16 430231 | 1 0.29 67.45 430232 | 1 0.29 67.74 430233 | 1 0.29 68.04 430234 | 1 0.29 68.33 430235 | 1 0.29 68.62 430236 | 1 0.29 68.91 430237 | 1 0.29 69.21 430238 | 1 0.29 69.50 430239 | 1 0.29 69.79 430240 | 1 0.29 70.09 430241 | 1 0.29 70.38 430242 | 1 0.29 70.67 430243 | 1 0.29 70.97 430244 | 1 0.29 71.26 430245 | 1 0.29 71.55 430246 | 1 0.29 71.85 430247 | 1 0.29 72.14 430248 | 1 0.29 72.43 430249 | 1 0.29 72.73 430250 | 1 0.29 73.02 430252 | 1 0.29 73.31 430253 | 1 0.29 73.61 430254 | 1 0.29 73.90 430255 | 1 0.29 74.19 430256 | 1 0.29 74.49 430257 | 1 0.29 74.78 430258 | 1 0.29 75.07 430259 | 1 0.29 75.37 430260 | 1 0.29 75.66 430261 | 1 0.29 75.95 430262 | 1 0.29 76.25 430263 | 1 0.29 76.54 430264 | 1 0.29 76.83 430265 | 1 0.29 77.13 430266 | 1 0.29 77.42 430267 | 1 0.29 77.71 430268 | 1 0.29 78.01 430269 | 1 0.29 78.30 430270 | 1 0.29 78.59 430271 | 1 0.29 78.89 430272 | 1 0.29 79.18 430273 | 1 0.29 79.47 430274 | 1 0.29 79.77 430275 | 1 0.29 80.06 430276 | 1 0.29 80.35 430277 | 1 0.29 80.65 430278 | 1 0.29 80.94 430279 | 1 0.29 81.23 430280 | 1 0.29 81.52 430281 | 1 0.29 81.82 430282 | 1 0.29 82.11 430283 | 1 0.29 82.40 430284 | 1 0.29 82.70 430285 | 1 0.29 82.99 430286 | 1 0.29 83.28 430287 | 1 0.29 83.58 430288 | 1 0.29 83.87 430289 | 1 0.29 84.16 430290 | 1 0.29 84.46 430291 | 1 0.29 84.75 430292 | 1 0.29 85.04 430293 | 1 0.29 85.34 430294 | 1 0.29 85.63 430295 | 1 0.29 85.92 430296 | 1 0.29 86.22 430297 | 1 0.29 86.51 430298 | 1 0.29 86.80 430299 | 1 0.29 87.10 430300 | 1 0.29 87.39 430301 | 1 0.29 87.68 430302 | 1 0.29 87.98 430303 | 1 0.29 88.27 430304 | 1 0.29 88.56 430305 | 1 0.29 88.86 430306 | 1 0.29 89.15 430307 | 1 0.29 89.44 430308 | 1 0.29 89.74 430309 | 1 0.29 90.03 430310 | 1 0.29 90.32 430311 | 1 0.29 90.62 430312 | 1 0.29 90.91 430313 | 1 0.29 91.20 430314 | 1 0.29 91.50 430315 | 1 0.29 91.79 430316 | 1 0.29 92.08 430317 | 1 0.29 92.38 430318 | 1 0.29 92.67 430319 | 1 0.29 92.96 430320 | 1 0.29 93.26 430321 | 1 0.29 93.55 430322 | 1 0.29 93.84 430323 | 1 0.29 94.13 430324 | 1 0.29 94.43 430325 | 1 0.29 94.72 430326 | 1 0.29 95.01 430327 | 1 0.29 95.31 430328 | 1 0.29 95.60 430329 | 1 0.29 95.89 430330 | 1 0.29 96.19 430331 | 1 0.29 96.48 430332 | 1 0.29 96.77 430333 | 1 0.29 97.07 430334 | 1 0.29 97.36 430335 | 1 0.29 97.65 430336 | 1 0.29 97.95 430337 | 1 0.29 98.24 430338 | 1 0.29 98.53 430339 | 1 0.29 98.83 430340 | 1 0.29 99.12 430341 | 1 0.29 99.41 430342 | 1 0.29 99.71 430343 | 1 0.29 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for county variable in acc_aux dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 341 100.00 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for fatals variable in acc_aux dataset : Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 324 95.01 95.01 2 | 16 4.69 99.71 3 | 1 0.29 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 341 100.00 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 341 100.00 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 182 53.37 53.37 2 | 159 46.63 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 61 17.89 17.89 2 | 280 82.11 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 219 64.22 64.22 2 | 4 1.17 65.40 3 | 11 3.23 68.62 4 | 107 31.38 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 26 7.62 7.62 2 | 312 91.50 99.12 3 | 3 0.88 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 61 17.89 17.89 2 | 10 2.93 20.82 3 | 72 21.11 41.94 4 | 100 29.33 71.26 5 | 55 16.13 87.39 6 | 43 12.61 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 26 7.62 7.62 2 | 312 91.50 99.12 4 | 3 0.88 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 229 67.16 67.16 2 | 25 7.33 74.49 3 | 32 9.38 83.87 4 | 39 11.44 95.31 5 | 16 4.69 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 117 34.31 34.31 2 | 224 65.69 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 155 45.45 45.45 2 | 186 54.55 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 224 65.69 65.69 2 | 98 28.74 94.43 3 | 19 5.57 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 19 5.57 5.57 2 | 322 94.43 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 52 15.25 15.25 2 | 289 84.75 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 131 38.42 38.42 2 | 210 61.58 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 109 31.96 31.96 2 | 232 68.04 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 7 2.05 2.05 2 | 334 97.95 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 26 7.62 7.62 2 | 315 92.38 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 341 100.00 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 71 20.82 20.82 2 | 131 38.42 59.24 3 | 139 40.76 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 30 8.80 8.80 2 | 311 91.20 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 30 8.80 8.80 2 | 311 91.20 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 42 12.32 12.32 2 | 299 87.68 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 42 12.32 12.32 2 | 299 87.68 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 58 17.01 17.01 2 | 283 82.99 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 58 17.01 17.01 2 | 283 82.99 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 94 27.57 27.57 2 | 247 72.43 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 1 | 95 27.86 27.86 2 | 246 72.14 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 20 5.87 5.87 2 | 321 94.13 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 341 100.00 100.00 ------------+----------------------------------- Total | 341 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 341 100.00 100.00 ------------+----------------------------------- Total | 341 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016