Frequencies for acc_aux dataset : by Jean Roth , jroth@nber.org , 22 Apr 2016 Frequencies for year variable in acc_aux dataset : Accident | Date-Year | Freq. Percent Cum. ------------+----------------------------------- 1982 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for state variable in acc_aux dataset : State | Freq. Percent Cum. ------------+----------------------------------- 43 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for county variable in acc_aux dataset : County | Freq. Percent Cum. ------------+----------------------------------- 0 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for fatals variable in acc_aux dataset : Accident | Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 429 95.33 95.33 2 | 15 3.33 98.67 3 | 3 0.67 99.33 4 | 3 0.67 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for st_case variable in acc_aux dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.22 0.22 430002 | 1 0.22 0.44 430003 | 1 0.22 0.67 430004 | 1 0.22 0.89 430005 | 1 0.22 1.11 430006 | 1 0.22 1.33 430007 | 1 0.22 1.56 430008 | 1 0.22 1.78 430009 | 1 0.22 2.00 430010 | 1 0.22 2.22 430011 | 1 0.22 2.44 430012 | 1 0.22 2.67 430013 | 1 0.22 2.89 430014 | 1 0.22 3.11 430015 | 1 0.22 3.33 430016 | 1 0.22 3.56 430017 | 1 0.22 3.78 430018 | 1 0.22 4.00 430019 | 1 0.22 4.22 430020 | 1 0.22 4.44 430021 | 1 0.22 4.67 430022 | 1 0.22 4.89 430024 | 1 0.22 5.11 430025 | 1 0.22 5.33 430026 | 1 0.22 5.56 430027 | 1 0.22 5.78 430028 | 1 0.22 6.00 430029 | 1 0.22 6.22 430030 | 1 0.22 6.44 430031 | 1 0.22 6.67 430032 | 1 0.22 6.89 430033 | 1 0.22 7.11 430034 | 1 0.22 7.33 430035 | 1 0.22 7.56 430036 | 1 0.22 7.78 430037 | 1 0.22 8.00 430038 | 1 0.22 8.22 430039 | 1 0.22 8.44 430040 | 1 0.22 8.67 430041 | 1 0.22 8.89 430042 | 1 0.22 9.11 430043 | 1 0.22 9.33 430044 | 1 0.22 9.56 430045 | 1 0.22 9.78 430046 | 1 0.22 10.00 430047 | 1 0.22 10.22 430048 | 1 0.22 10.44 430049 | 1 0.22 10.67 430050 | 1 0.22 10.89 430051 | 1 0.22 11.11 430052 | 1 0.22 11.33 430053 | 1 0.22 11.56 430054 | 1 0.22 11.78 430055 | 1 0.22 12.00 430056 | 1 0.22 12.22 430057 | 1 0.22 12.44 430058 | 1 0.22 12.67 430059 | 1 0.22 12.89 430060 | 1 0.22 13.11 430061 | 1 0.22 13.33 430062 | 1 0.22 13.56 430063 | 1 0.22 13.78 430064 | 1 0.22 14.00 430065 | 1 0.22 14.22 430066 | 1 0.22 14.44 430067 | 1 0.22 14.67 430068 | 1 0.22 14.89 430069 | 1 0.22 15.11 430070 | 1 0.22 15.33 430071 | 1 0.22 15.56 430072 | 1 0.22 15.78 430073 | 1 0.22 16.00 430074 | 1 0.22 16.22 430075 | 1 0.22 16.44 430076 | 1 0.22 16.67 430077 | 1 0.22 16.89 430078 | 1 0.22 17.11 430079 | 1 0.22 17.33 430080 | 1 0.22 17.56 430081 | 1 0.22 17.78 430082 | 1 0.22 18.00 430083 | 1 0.22 18.22 430084 | 1 0.22 18.44 430085 | 1 0.22 18.67 430086 | 1 0.22 18.89 430087 | 1 0.22 19.11 430088 | 1 0.22 19.33 430089 | 1 0.22 19.56 430090 | 1 0.22 19.78 430091 | 1 0.22 20.00 430092 | 1 0.22 20.22 430093 | 1 0.22 20.44 430094 | 1 0.22 20.67 430095 | 1 0.22 20.89 430096 | 1 0.22 21.11 430097 | 1 0.22 21.33 430098 | 1 0.22 21.56 430099 | 1 0.22 21.78 430100 | 1 0.22 22.00 430101 | 1 0.22 22.22 430102 | 1 0.22 22.44 430103 | 1 0.22 22.67 430104 | 1 0.22 22.89 430105 | 1 0.22 23.11 430106 | 1 0.22 23.33 430107 | 1 0.22 23.56 430108 | 1 0.22 23.78 430109 | 1 0.22 24.00 430110 | 1 0.22 24.22 430111 | 1 0.22 24.44 430112 | 1 0.22 24.67 430113 | 1 0.22 24.89 430114 | 1 0.22 25.11 430115 | 1 0.22 25.33 430116 | 1 0.22 25.56 430117 | 1 0.22 25.78 430118 | 1 0.22 26.00 430119 | 1 0.22 26.22 430120 | 1 0.22 26.44 430121 | 1 0.22 26.67 430122 | 1 0.22 26.89 430123 | 1 0.22 27.11 430124 | 1 0.22 27.33 430125 | 1 0.22 27.56 430126 | 1 0.22 27.78 430127 | 1 0.22 28.00 430128 | 1 0.22 28.22 430129 | 1 0.22 28.44 430130 | 1 0.22 28.67 430131 | 1 0.22 28.89 430132 | 1 0.22 29.11 430133 | 1 0.22 29.33 430134 | 1 0.22 29.56 430135 | 1 0.22 29.78 430136 | 1 0.22 30.00 430137 | 1 0.22 30.22 430138 | 1 0.22 30.44 430139 | 1 0.22 30.67 430140 | 1 0.22 30.89 430141 | 1 0.22 31.11 430142 | 1 0.22 31.33 430143 | 1 0.22 31.56 430144 | 1 0.22 31.78 430145 | 1 0.22 32.00 430147 | 1 0.22 32.22 430148 | 1 0.22 32.44 430149 | 1 0.22 32.67 430150 | 1 0.22 32.89 430151 | 1 0.22 33.11 430152 | 1 0.22 33.33 430153 | 1 0.22 33.56 430154 | 1 0.22 33.78 430155 | 1 0.22 34.00 430156 | 1 0.22 34.22 430157 | 1 0.22 34.44 430158 | 1 0.22 34.67 430159 | 1 0.22 34.89 430160 | 1 0.22 35.11 430161 | 1 0.22 35.33 430162 | 1 0.22 35.56 430163 | 1 0.22 35.78 430164 | 1 0.22 36.00 430165 | 1 0.22 36.22 430166 | 1 0.22 36.44 430167 | 1 0.22 36.67 430168 | 1 0.22 36.89 430169 | 1 0.22 37.11 430170 | 1 0.22 37.33 430171 | 1 0.22 37.56 430172 | 1 0.22 37.78 430173 | 1 0.22 38.00 430174 | 1 0.22 38.22 430175 | 1 0.22 38.44 430176 | 1 0.22 38.67 430177 | 1 0.22 38.89 430178 | 1 0.22 39.11 430179 | 1 0.22 39.33 430180 | 1 0.22 39.56 430181 | 1 0.22 39.78 430182 | 1 0.22 40.00 430183 | 1 0.22 40.22 430184 | 1 0.22 40.44 430185 | 1 0.22 40.67 430186 | 1 0.22 40.89 430187 | 1 0.22 41.11 430188 | 1 0.22 41.33 430189 | 1 0.22 41.56 430190 | 1 0.22 41.78 430191 | 1 0.22 42.00 430192 | 1 0.22 42.22 430193 | 1 0.22 42.44 430194 | 1 0.22 42.67 430195 | 1 0.22 42.89 430196 | 1 0.22 43.11 430197 | 1 0.22 43.33 430198 | 1 0.22 43.56 430199 | 1 0.22 43.78 430200 | 1 0.22 44.00 430201 | 1 0.22 44.22 430202 | 1 0.22 44.44 430203 | 1 0.22 44.67 430204 | 1 0.22 44.89 430205 | 1 0.22 45.11 430206 | 1 0.22 45.33 430207 | 1 0.22 45.56 430208 | 1 0.22 45.78 430209 | 1 0.22 46.00 430210 | 1 0.22 46.22 430211 | 1 0.22 46.44 430212 | 1 0.22 46.67 430213 | 1 0.22 46.89 430214 | 1 0.22 47.11 430215 | 1 0.22 47.33 430216 | 1 0.22 47.56 430217 | 1 0.22 47.78 430218 | 1 0.22 48.00 430219 | 1 0.22 48.22 430220 | 1 0.22 48.44 430221 | 1 0.22 48.67 430222 | 1 0.22 48.89 430223 | 1 0.22 49.11 430224 | 1 0.22 49.33 430225 | 1 0.22 49.56 430226 | 1 0.22 49.78 430227 | 1 0.22 50.00 430228 | 1 0.22 50.22 430229 | 1 0.22 50.44 430230 | 1 0.22 50.67 430231 | 1 0.22 50.89 430232 | 1 0.22 51.11 430233 | 1 0.22 51.33 430234 | 1 0.22 51.56 430235 | 1 0.22 51.78 430236 | 1 0.22 52.00 430237 | 1 0.22 52.22 430238 | 1 0.22 52.44 430239 | 1 0.22 52.67 430240 | 1 0.22 52.89 430241 | 1 0.22 53.11 430242 | 1 0.22 53.33 430243 | 1 0.22 53.56 430244 | 1 0.22 53.78 430245 | 1 0.22 54.00 430246 | 1 0.22 54.22 430247 | 1 0.22 54.44 430249 | 1 0.22 54.67 430250 | 1 0.22 54.89 430251 | 1 0.22 55.11 430252 | 1 0.22 55.33 430253 | 1 0.22 55.56 430254 | 1 0.22 55.78 430255 | 1 0.22 56.00 430256 | 1 0.22 56.22 430257 | 1 0.22 56.44 430258 | 1 0.22 56.67 430259 | 1 0.22 56.89 430260 | 1 0.22 57.11 430261 | 1 0.22 57.33 430262 | 1 0.22 57.56 430263 | 1 0.22 57.78 430264 | 1 0.22 58.00 430265 | 1 0.22 58.22 430266 | 1 0.22 58.44 430267 | 1 0.22 58.67 430268 | 1 0.22 58.89 430269 | 1 0.22 59.11 430270 | 1 0.22 59.33 430271 | 1 0.22 59.56 430272 | 1 0.22 59.78 430273 | 1 0.22 60.00 430274 | 1 0.22 60.22 430275 | 1 0.22 60.44 430276 | 1 0.22 60.67 430277 | 1 0.22 60.89 430278 | 1 0.22 61.11 430279 | 1 0.22 61.33 430280 | 1 0.22 61.56 430281 | 1 0.22 61.78 430282 | 1 0.22 62.00 430283 | 1 0.22 62.22 430284 | 1 0.22 62.44 430285 | 1 0.22 62.67 430286 | 1 0.22 62.89 430287 | 1 0.22 63.11 430288 | 1 0.22 63.33 430289 | 1 0.22 63.56 430290 | 1 0.22 63.78 430291 | 1 0.22 64.00 430292 | 1 0.22 64.22 430293 | 1 0.22 64.44 430294 | 1 0.22 64.67 430295 | 1 0.22 64.89 430296 | 1 0.22 65.11 430297 | 1 0.22 65.33 430298 | 1 0.22 65.56 430299 | 1 0.22 65.78 430300 | 1 0.22 66.00 430301 | 1 0.22 66.22 430302 | 1 0.22 66.44 430303 | 1 0.22 66.67 430304 | 1 0.22 66.89 430305 | 1 0.22 67.11 430306 | 1 0.22 67.33 430307 | 1 0.22 67.56 430308 | 1 0.22 67.78 430309 | 1 0.22 68.00 430310 | 1 0.22 68.22 430311 | 1 0.22 68.44 430312 | 1 0.22 68.67 430313 | 1 0.22 68.89 430314 | 1 0.22 69.11 430315 | 1 0.22 69.33 430316 | 1 0.22 69.56 430317 | 1 0.22 69.78 430318 | 1 0.22 70.00 430320 | 1 0.22 70.22 430321 | 1 0.22 70.44 430322 | 1 0.22 70.67 430323 | 1 0.22 70.89 430324 | 1 0.22 71.11 430325 | 1 0.22 71.33 430326 | 1 0.22 71.56 430327 | 1 0.22 71.78 430328 | 1 0.22 72.00 430329 | 1 0.22 72.22 430330 | 1 0.22 72.44 430331 | 1 0.22 72.67 430332 | 1 0.22 72.89 430333 | 1 0.22 73.11 430334 | 1 0.22 73.33 430335 | 1 0.22 73.56 430336 | 1 0.22 73.78 430337 | 1 0.22 74.00 430338 | 1 0.22 74.22 430339 | 1 0.22 74.44 430340 | 1 0.22 74.67 430341 | 1 0.22 74.89 430342 | 1 0.22 75.11 430343 | 1 0.22 75.33 430344 | 1 0.22 75.56 430345 | 1 0.22 75.78 430346 | 1 0.22 76.00 430347 | 1 0.22 76.22 430348 | 1 0.22 76.44 430349 | 1 0.22 76.67 430350 | 1 0.22 76.89 430351 | 1 0.22 77.11 430352 | 1 0.22 77.33 430353 | 1 0.22 77.56 430354 | 1 0.22 77.78 430355 | 1 0.22 78.00 430356 | 1 0.22 78.22 430357 | 1 0.22 78.44 430358 | 1 0.22 78.67 430359 | 1 0.22 78.89 430360 | 1 0.22 79.11 430361 | 1 0.22 79.33 430362 | 1 0.22 79.56 430363 | 1 0.22 79.78 430364 | 1 0.22 80.00 430365 | 1 0.22 80.22 430366 | 1 0.22 80.44 430367 | 1 0.22 80.67 430368 | 1 0.22 80.89 430369 | 1 0.22 81.11 430370 | 1 0.22 81.33 430371 | 1 0.22 81.56 430372 | 1 0.22 81.78 430373 | 1 0.22 82.00 430374 | 1 0.22 82.22 430375 | 1 0.22 82.44 430376 | 1 0.22 82.67 430377 | 1 0.22 82.89 430378 | 1 0.22 83.11 430379 | 1 0.22 83.33 430380 | 1 0.22 83.56 430381 | 1 0.22 83.78 430382 | 1 0.22 84.00 430383 | 1 0.22 84.22 430384 | 1 0.22 84.44 430385 | 1 0.22 84.67 430386 | 1 0.22 84.89 430387 | 1 0.22 85.11 430388 | 1 0.22 85.33 430389 | 1 0.22 85.56 430390 | 1 0.22 85.78 430391 | 1 0.22 86.00 430392 | 1 0.22 86.22 430393 | 1 0.22 86.44 430394 | 1 0.22 86.67 430395 | 1 0.22 86.89 430396 | 1 0.22 87.11 430397 | 1 0.22 87.33 430398 | 1 0.22 87.56 430399 | 1 0.22 87.78 430400 | 1 0.22 88.00 430401 | 1 0.22 88.22 430402 | 1 0.22 88.44 430403 | 1 0.22 88.67 430404 | 1 0.22 88.89 430405 | 1 0.22 89.11 430406 | 1 0.22 89.33 430407 | 1 0.22 89.56 430408 | 1 0.22 89.78 430409 | 1 0.22 90.00 430410 | 1 0.22 90.22 430411 | 1 0.22 90.44 430412 | 1 0.22 90.67 430413 | 1 0.22 90.89 430414 | 1 0.22 91.11 430415 | 1 0.22 91.33 430416 | 1 0.22 91.56 430417 | 1 0.22 91.78 430418 | 1 0.22 92.00 430419 | 1 0.22 92.22 430420 | 1 0.22 92.44 430421 | 1 0.22 92.67 430422 | 1 0.22 92.89 430423 | 1 0.22 93.11 430424 | 1 0.22 93.33 430425 | 1 0.22 93.56 430426 | 1 0.22 93.78 430427 | 1 0.22 94.00 430428 | 1 0.22 94.22 430429 | 1 0.22 94.44 430430 | 1 0.22 94.67 430431 | 1 0.22 94.89 430432 | 1 0.22 95.11 430433 | 1 0.22 95.33 430434 | 1 0.22 95.56 430435 | 1 0.22 95.78 430436 | 1 0.22 96.00 430437 | 1 0.22 96.22 430438 | 1 0.22 96.44 430439 | 1 0.22 96.67 430440 | 1 0.22 96.89 430441 | 1 0.22 97.11 430442 | 1 0.22 97.33 430443 | 1 0.22 97.56 430444 | 1 0.22 97.78 430445 | 1 0.22 98.00 430446 | 1 0.22 98.22 430447 | 1 0.22 98.44 430448 | 1 0.22 98.67 430449 | 1 0.22 98.89 430450 | 1 0.22 99.11 430451 | 1 0.22 99.33 430452 | 1 0.22 99.56 430453 | 1 0.22 99.78 430454 | 1 0.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 243 54.00 54.00 2 | 207 46.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 2 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 291 64.67 64.67 2 | 22 4.89 69.56 3 | 14 3.11 72.67 4 | 118 26.22 98.89 6 | 5 1.11 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 63 14.00 14.00 2 | 387 86.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 2 | 11 2.44 2.44 3 | 212 47.11 49.56 4 | 10 2.22 51.78 5 | 94 20.89 72.67 6 | 123 27.33 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 63 14.00 14.00 2 | 382 84.89 98.89 3 | 5 1.11 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 355 78.89 78.89 2 | 15 3.33 82.22 3 | 43 9.56 91.78 4 | 28 6.22 98.00 5 | 7 1.56 99.56 7 | 2 0.44 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 162 36.00 36.00 2 | 283 62.89 98.89 3 | 5 1.11 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 211 46.89 46.89 2 | 237 52.67 99.56 3 | 2 0.44 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 62 13.78 13.78 2 | 388 86.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 342 76.00 76.00 2 | 93 20.67 96.67 3 | 15 3.33 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 6 1.33 1.33 2 | 444 98.67 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 24 5.33 5.33 2 | 426 94.67 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 182 40.44 40.44 2 | 268 59.56 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 204 45.33 45.33 2 | 246 54.67 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 19 4.22 4.22 2 | 431 95.78 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 39 8.67 8.67 2 | 411 91.33 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 104 23.11 23.11 2 | 25 5.56 28.67 3 | 321 71.33 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 57 12.67 12.67 2 | 393 87.33 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 56 12.44 12.44 2 | 394 87.56 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 78 17.33 17.33 2 | 372 82.67 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 77 17.11 17.11 2 | 373 82.89 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 12 2.67 2.67 2 | 438 97.33 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 76 16.89 16.89 2 | 374 83.11 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 150 33.33 33.33 2 | 300 66.67 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 by Jean Roth , jroth@nber.org , 22 Apr 2016