Frequencies for acc_aux dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for year variable in acc_aux dataset : year | Freq. Percent Cum. ------------+----------------------------------- 2009 | 343 100.00 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 343 100.00 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 343 100.00 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 324 94.46 94.46 2 | 17 4.96 99.42 3 | 1 0.29 99.71 4 | 1 0.29 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for st_case variable in acc_aux dataset : st_case | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.29 0.29 430002 | 1 0.29 0.58 430003 | 1 0.29 0.87 430004 | 1 0.29 1.17 430005 | 1 0.29 1.46 430006 | 1 0.29 1.75 430007 | 1 0.29 2.04 430008 | 1 0.29 2.33 430009 | 1 0.29 2.62 430010 | 1 0.29 2.92 430011 | 1 0.29 3.21 430012 | 1 0.29 3.50 430013 | 1 0.29 3.79 430014 | 1 0.29 4.08 430015 | 1 0.29 4.37 430017 | 1 0.29 4.66 430018 | 1 0.29 4.96 430019 | 1 0.29 5.25 430020 | 1 0.29 5.54 430021 | 1 0.29 5.83 430022 | 1 0.29 6.12 430023 | 1 0.29 6.41 430024 | 1 0.29 6.71 430026 | 1 0.29 7.00 430027 | 1 0.29 7.29 430028 | 1 0.29 7.58 430029 | 1 0.29 7.87 430030 | 1 0.29 8.16 430031 | 1 0.29 8.45 430032 | 1 0.29 8.75 430033 | 1 0.29 9.04 430034 | 1 0.29 9.33 430035 | 1 0.29 9.62 430036 | 1 0.29 9.91 430037 | 1 0.29 10.20 430038 | 1 0.29 10.50 430039 | 1 0.29 10.79 430040 | 1 0.29 11.08 430041 | 1 0.29 11.37 430042 | 1 0.29 11.66 430043 | 1 0.29 11.95 430044 | 1 0.29 12.24 430045 | 1 0.29 12.54 430046 | 1 0.29 12.83 430047 | 1 0.29 13.12 430048 | 1 0.29 13.41 430049 | 1 0.29 13.70 430050 | 1 0.29 13.99 430051 | 1 0.29 14.29 430052 | 1 0.29 14.58 430053 | 1 0.29 14.87 430054 | 1 0.29 15.16 430055 | 1 0.29 15.45 430056 | 1 0.29 15.74 430057 | 1 0.29 16.03 430058 | 1 0.29 16.33 430059 | 1 0.29 16.62 430060 | 1 0.29 16.91 430061 | 1 0.29 17.20 430062 | 1 0.29 17.49 430063 | 1 0.29 17.78 430064 | 1 0.29 18.08 430065 | 1 0.29 18.37 430066 | 1 0.29 18.66 430067 | 1 0.29 18.95 430068 | 1 0.29 19.24 430069 | 1 0.29 19.53 430070 | 1 0.29 19.83 430071 | 1 0.29 20.12 430072 | 1 0.29 20.41 430073 | 1 0.29 20.70 430074 | 1 0.29 20.99 430075 | 1 0.29 21.28 430076 | 1 0.29 21.57 430077 | 1 0.29 21.87 430078 | 1 0.29 22.16 430079 | 1 0.29 22.45 430080 | 1 0.29 22.74 430081 | 1 0.29 23.03 430082 | 1 0.29 23.32 430083 | 1 0.29 23.62 430084 | 1 0.29 23.91 430085 | 1 0.29 24.20 430086 | 1 0.29 24.49 430087 | 1 0.29 24.78 430088 | 1 0.29 25.07 430089 | 1 0.29 25.36 430090 | 1 0.29 25.66 430091 | 1 0.29 25.95 430092 | 1 0.29 26.24 430093 | 1 0.29 26.53 430094 | 1 0.29 26.82 430095 | 1 0.29 27.11 430096 | 1 0.29 27.41 430097 | 1 0.29 27.70 430098 | 1 0.29 27.99 430099 | 1 0.29 28.28 430100 | 1 0.29 28.57 430101 | 1 0.29 28.86 430102 | 1 0.29 29.15 430103 | 1 0.29 29.45 430104 | 1 0.29 29.74 430105 | 1 0.29 30.03 430106 | 1 0.29 30.32 430107 | 1 0.29 30.61 430108 | 1 0.29 30.90 430109 | 1 0.29 31.20 430110 | 1 0.29 31.49 430111 | 1 0.29 31.78 430112 | 1 0.29 32.07 430113 | 1 0.29 32.36 430114 | 1 0.29 32.65 430115 | 1 0.29 32.94 430116 | 1 0.29 33.24 430117 | 1 0.29 33.53 430118 | 1 0.29 33.82 430119 | 1 0.29 34.11 430120 | 1 0.29 34.40 430121 | 1 0.29 34.69 430122 | 1 0.29 34.99 430123 | 1 0.29 35.28 430124 | 1 0.29 35.57 430125 | 1 0.29 35.86 430126 | 1 0.29 36.15 430127 | 1 0.29 36.44 430128 | 1 0.29 36.73 430129 | 1 0.29 37.03 430130 | 1 0.29 37.32 430131 | 1 0.29 37.61 430132 | 1 0.29 37.90 430133 | 1 0.29 38.19 430134 | 1 0.29 38.48 430135 | 1 0.29 38.78 430136 | 1 0.29 39.07 430137 | 1 0.29 39.36 430138 | 1 0.29 39.65 430139 | 1 0.29 39.94 430140 | 1 0.29 40.23 430141 | 1 0.29 40.52 430142 | 1 0.29 40.82 430143 | 1 0.29 41.11 430144 | 1 0.29 41.40 430145 | 1 0.29 41.69 430146 | 1 0.29 41.98 430147 | 1 0.29 42.27 430148 | 1 0.29 42.57 430149 | 1 0.29 42.86 430150 | 1 0.29 43.15 430151 | 1 0.29 43.44 430152 | 1 0.29 43.73 430153 | 1 0.29 44.02 430154 | 1 0.29 44.31 430155 | 1 0.29 44.61 430156 | 1 0.29 44.90 430157 | 1 0.29 45.19 430158 | 1 0.29 45.48 430160 | 1 0.29 45.77 430161 | 1 0.29 46.06 430162 | 1 0.29 46.36 430163 | 1 0.29 46.65 430164 | 1 0.29 46.94 430165 | 1 0.29 47.23 430166 | 1 0.29 47.52 430167 | 1 0.29 47.81 430168 | 1 0.29 48.10 430169 | 1 0.29 48.40 430170 | 1 0.29 48.69 430171 | 1 0.29 48.98 430172 | 1 0.29 49.27 430173 | 1 0.29 49.56 430174 | 1 0.29 49.85 430175 | 1 0.29 50.15 430176 | 1 0.29 50.44 430177 | 1 0.29 50.73 430178 | 1 0.29 51.02 430179 | 1 0.29 51.31 430180 | 1 0.29 51.60 430181 | 1 0.29 51.90 430182 | 1 0.29 52.19 430183 | 1 0.29 52.48 430184 | 1 0.29 52.77 430185 | 1 0.29 53.06 430186 | 1 0.29 53.35 430187 | 1 0.29 53.64 430188 | 1 0.29 53.94 430189 | 1 0.29 54.23 430190 | 1 0.29 54.52 430191 | 1 0.29 54.81 430192 | 1 0.29 55.10 430193 | 1 0.29 55.39 430194 | 1 0.29 55.69 430195 | 1 0.29 55.98 430196 | 1 0.29 56.27 430197 | 1 0.29 56.56 430198 | 1 0.29 56.85 430199 | 1 0.29 57.14 430200 | 1 0.29 57.43 430201 | 1 0.29 57.73 430202 | 1 0.29 58.02 430203 | 1 0.29 58.31 430204 | 1 0.29 58.60 430205 | 1 0.29 58.89 430206 | 1 0.29 59.18 430207 | 1 0.29 59.48 430208 | 1 0.29 59.77 430209 | 1 0.29 60.06 430210 | 1 0.29 60.35 430211 | 1 0.29 60.64 430212 | 1 0.29 60.93 430213 | 1 0.29 61.22 430214 | 1 0.29 61.52 430215 | 1 0.29 61.81 430216 | 1 0.29 62.10 430217 | 1 0.29 62.39 430218 | 1 0.29 62.68 430219 | 1 0.29 62.97 430220 | 1 0.29 63.27 430221 | 1 0.29 63.56 430222 | 1 0.29 63.85 430223 | 1 0.29 64.14 430224 | 1 0.29 64.43 430225 | 1 0.29 64.72 430226 | 1 0.29 65.01 430227 | 1 0.29 65.31 430228 | 1 0.29 65.60 430229 | 1 0.29 65.89 430230 | 1 0.29 66.18 430231 | 1 0.29 66.47 430233 | 1 0.29 66.76 430234 | 1 0.29 67.06 430235 | 1 0.29 67.35 430236 | 1 0.29 67.64 430237 | 1 0.29 67.93 430238 | 1 0.29 68.22 430239 | 1 0.29 68.51 430240 | 1 0.29 68.80 430241 | 1 0.29 69.10 430242 | 1 0.29 69.39 430243 | 1 0.29 69.68 430244 | 1 0.29 69.97 430245 | 1 0.29 70.26 430246 | 1 0.29 70.55 430247 | 1 0.29 70.85 430248 | 1 0.29 71.14 430249 | 1 0.29 71.43 430250 | 1 0.29 71.72 430251 | 1 0.29 72.01 430252 | 1 0.29 72.30 430253 | 1 0.29 72.59 430254 | 1 0.29 72.89 430255 | 1 0.29 73.18 430256 | 1 0.29 73.47 430257 | 1 0.29 73.76 430258 | 1 0.29 74.05 430259 | 1 0.29 74.34 430260 | 1 0.29 74.64 430261 | 1 0.29 74.93 430262 | 1 0.29 75.22 430263 | 1 0.29 75.51 430264 | 1 0.29 75.80 430265 | 1 0.29 76.09 430266 | 1 0.29 76.38 430267 | 1 0.29 76.68 430268 | 1 0.29 76.97 430269 | 1 0.29 77.26 430270 | 1 0.29 77.55 430271 | 1 0.29 77.84 430272 | 1 0.29 78.13 430273 | 1 0.29 78.43 430274 | 1 0.29 78.72 430275 | 1 0.29 79.01 430276 | 1 0.29 79.30 430277 | 1 0.29 79.59 430278 | 1 0.29 79.88 430279 | 1 0.29 80.17 430280 | 1 0.29 80.47 430281 | 1 0.29 80.76 430282 | 1 0.29 81.05 430283 | 1 0.29 81.34 430284 | 1 0.29 81.63 430285 | 1 0.29 81.92 430286 | 1 0.29 82.22 430287 | 1 0.29 82.51 430288 | 1 0.29 82.80 430289 | 1 0.29 83.09 430290 | 1 0.29 83.38 430291 | 1 0.29 83.67 430292 | 1 0.29 83.97 430293 | 1 0.29 84.26 430294 | 1 0.29 84.55 430295 | 1 0.29 84.84 430296 | 1 0.29 85.13 430297 | 1 0.29 85.42 430298 | 1 0.29 85.71 430299 | 1 0.29 86.01 430300 | 1 0.29 86.30 430301 | 1 0.29 86.59 430302 | 1 0.29 86.88 430303 | 1 0.29 87.17 430304 | 1 0.29 87.46 430305 | 1 0.29 87.76 430306 | 1 0.29 88.05 430307 | 1 0.29 88.34 430308 | 1 0.29 88.63 430309 | 1 0.29 88.92 430310 | 1 0.29 89.21 430311 | 1 0.29 89.50 430312 | 1 0.29 89.80 430313 | 1 0.29 90.09 430314 | 1 0.29 90.38 430315 | 1 0.29 90.67 430316 | 1 0.29 90.96 430317 | 1 0.29 91.25 430318 | 1 0.29 91.55 430319 | 1 0.29 91.84 430320 | 1 0.29 92.13 430321 | 1 0.29 92.42 430322 | 1 0.29 92.71 430323 | 1 0.29 93.00 430324 | 1 0.29 93.29 430325 | 1 0.29 93.59 430326 | 1 0.29 93.88 430327 | 1 0.29 94.17 430328 | 1 0.29 94.46 430329 | 1 0.29 94.75 430330 | 1 0.29 95.04 430331 | 1 0.29 95.34 430332 | 1 0.29 95.63 430333 | 1 0.29 95.92 430334 | 1 0.29 96.21 430335 | 1 0.29 96.50 430336 | 1 0.29 96.79 430337 | 1 0.29 97.08 430338 | 1 0.29 97.38 430339 | 1 0.29 97.67 430340 | 1 0.29 97.96 430341 | 1 0.29 98.25 430342 | 1 0.29 98.54 430343 | 1 0.29 98.83 430344 | 1 0.29 99.13 430345 | 1 0.29 99.42 430346 | 1 0.29 99.71 430347 | 1 0.29 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 343 100.00 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 343 100.00 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 186 54.23 54.23 2 | 157 45.77 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 56 16.33 16.33 2 | 287 83.67 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 222 64.72 64.72 2 | 6 1.75 66.47 3 | 11 3.21 69.68 4 | 104 30.32 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 40 11.66 11.66 2 | 303 88.34 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 56 16.33 16.33 2 | 12 3.50 19.83 3 | 66 19.24 39.07 4 | 78 22.74 61.81 5 | 70 20.41 82.22 6 | 61 17.78 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 40 11.66 11.66 2 | 303 88.34 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 239 69.68 69.68 2 | 19 5.54 75.22 3 | 32 9.33 84.55 4 | 34 9.91 94.46 5 | 17 4.96 99.42 6 | 2 0.58 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 123 35.86 35.86 2 | 219 63.85 99.71 3 | 1 0.29 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 165 48.10 48.10 2 | 178 51.90 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 240 69.97 69.97 2 | 84 24.49 94.46 3 | 19 5.54 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 19 5.54 5.54 2 | 324 94.46 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 55 16.03 16.03 2 | 288 83.97 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 139 40.52 40.52 2 | 204 59.48 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 109 31.78 31.78 2 | 234 68.22 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 16 4.66 4.66 2 | 327 95.34 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 17 4.96 4.96 2 | 326 95.04 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 343 100.00 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 91 26.53 26.53 2 | 143 41.69 68.22 3 | 109 31.78 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 10.50 10.50 2 | 307 89.50 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 10.50 10.50 2 | 307 89.50 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 48 13.99 13.99 2 | 295 86.01 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 48 13.99 13.99 2 | 295 86.01 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 35 10.20 10.20 2 | 308 89.80 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 69 20.12 20.12 2 | 274 79.88 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 111 32.36 32.36 2 | 232 67.64 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 1 | 93 27.11 27.11 2 | 250 72.89 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 34 9.91 9.91 2 | 309 90.09 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.29 0.29 2 | 342 99.71 100.00 ------------+----------------------------------- Total | 343 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 3 0.87 0.87 2 | 340 99.13 100.00 ------------+----------------------------------- Total | 343 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016