Frequencies for acc_aux dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for year variable in acc_aux dataset : Accident | Date-Year | Freq. Percent Cum. ------------+----------------------------------- 1987 | 571 100.00 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for state variable in acc_aux dataset : State | Freq. Percent Cum. ------------+----------------------------------- 43 | 571 100.00 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for county variable in acc_aux dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 571 100.00 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for fatals variable in acc_aux dataset : Accident | Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 533 93.35 93.35 2 | 33 5.78 99.12 3 | 5 0.88 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for st_case variable in acc_aux dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.18 0.18 430002 | 1 0.18 0.35 430003 | 1 0.18 0.53 430004 | 1 0.18 0.70 430005 | 1 0.18 0.88 430006 | 1 0.18 1.05 430007 | 1 0.18 1.23 430008 | 1 0.18 1.40 430009 | 1 0.18 1.58 430010 | 1 0.18 1.75 430011 | 1 0.18 1.93 430012 | 1 0.18 2.10 430013 | 1 0.18 2.28 430014 | 1 0.18 2.45 430015 | 1 0.18 2.63 430016 | 1 0.18 2.80 430017 | 1 0.18 2.98 430018 | 1 0.18 3.15 430019 | 1 0.18 3.33 430020 | 1 0.18 3.50 430021 | 1 0.18 3.68 430022 | 1 0.18 3.85 430023 | 1 0.18 4.03 430024 | 1 0.18 4.20 430025 | 1 0.18 4.38 430026 | 1 0.18 4.55 430027 | 1 0.18 4.73 430028 | 1 0.18 4.90 430029 | 1 0.18 5.08 430030 | 1 0.18 5.25 430031 | 1 0.18 5.43 430032 | 1 0.18 5.60 430033 | 1 0.18 5.78 430034 | 1 0.18 5.95 430035 | 1 0.18 6.13 430036 | 1 0.18 6.30 430037 | 1 0.18 6.48 430038 | 1 0.18 6.65 430039 | 1 0.18 6.83 430040 | 1 0.18 7.01 430041 | 1 0.18 7.18 430042 | 1 0.18 7.36 430043 | 1 0.18 7.53 430044 | 1 0.18 7.71 430045 | 1 0.18 7.88 430046 | 1 0.18 8.06 430047 | 1 0.18 8.23 430048 | 1 0.18 8.41 430049 | 1 0.18 8.58 430050 | 1 0.18 8.76 430051 | 1 0.18 8.93 430052 | 1 0.18 9.11 430053 | 1 0.18 9.28 430054 | 1 0.18 9.46 430055 | 1 0.18 9.63 430056 | 1 0.18 9.81 430057 | 1 0.18 9.98 430058 | 1 0.18 10.16 430059 | 1 0.18 10.33 430060 | 1 0.18 10.51 430061 | 1 0.18 10.68 430063 | 1 0.18 10.86 430064 | 1 0.18 11.03 430065 | 1 0.18 11.21 430067 | 1 0.18 11.38 430068 | 1 0.18 11.56 430069 | 1 0.18 11.73 430070 | 1 0.18 11.91 430071 | 1 0.18 12.08 430072 | 1 0.18 12.26 430073 | 1 0.18 12.43 430074 | 1 0.18 12.61 430075 | 1 0.18 12.78 430076 | 1 0.18 12.96 430077 | 1 0.18 13.13 430078 | 1 0.18 13.31 430079 | 1 0.18 13.49 430080 | 1 0.18 13.66 430081 | 1 0.18 13.84 430082 | 1 0.18 14.01 430083 | 1 0.18 14.19 430084 | 1 0.18 14.36 430085 | 1 0.18 14.54 430086 | 1 0.18 14.71 430087 | 1 0.18 14.89 430088 | 1 0.18 15.06 430089 | 1 0.18 15.24 430090 | 1 0.18 15.41 430091 | 1 0.18 15.59 430092 | 1 0.18 15.76 430093 | 1 0.18 15.94 430094 | 1 0.18 16.11 430095 | 1 0.18 16.29 430096 | 1 0.18 16.46 430097 | 1 0.18 16.64 430098 | 1 0.18 16.81 430099 | 1 0.18 16.99 430100 | 1 0.18 17.16 430101 | 1 0.18 17.34 430102 | 1 0.18 17.51 430103 | 1 0.18 17.69 430104 | 1 0.18 17.86 430105 | 1 0.18 18.04 430106 | 1 0.18 18.21 430107 | 1 0.18 18.39 430108 | 1 0.18 18.56 430109 | 1 0.18 18.74 430110 | 1 0.18 18.91 430111 | 1 0.18 19.09 430112 | 1 0.18 19.26 430113 | 1 0.18 19.44 430115 | 1 0.18 19.61 430116 | 1 0.18 19.79 430117 | 1 0.18 19.96 430118 | 1 0.18 20.14 430119 | 1 0.18 20.32 430120 | 1 0.18 20.49 430121 | 1 0.18 20.67 430122 | 1 0.18 20.84 430123 | 1 0.18 21.02 430124 | 1 0.18 21.19 430125 | 1 0.18 21.37 430126 | 1 0.18 21.54 430127 | 1 0.18 21.72 430128 | 1 0.18 21.89 430129 | 1 0.18 22.07 430130 | 1 0.18 22.24 430131 | 1 0.18 22.42 430132 | 1 0.18 22.59 430133 | 1 0.18 22.77 430135 | 1 0.18 22.94 430136 | 1 0.18 23.12 430137 | 1 0.18 23.29 430138 | 1 0.18 23.47 430139 | 1 0.18 23.64 430140 | 1 0.18 23.82 430141 | 1 0.18 23.99 430143 | 1 0.18 24.17 430144 | 1 0.18 24.34 430145 | 1 0.18 24.52 430146 | 1 0.18 24.69 430147 | 1 0.18 24.87 430148 | 1 0.18 25.04 430149 | 1 0.18 25.22 430150 | 1 0.18 25.39 430151 | 1 0.18 25.57 430152 | 1 0.18 25.74 430153 | 1 0.18 25.92 430154 | 1 0.18 26.09 430155 | 1 0.18 26.27 430156 | 1 0.18 26.44 430157 | 1 0.18 26.62 430158 | 1 0.18 26.80 430159 | 1 0.18 26.97 430160 | 1 0.18 27.15 430161 | 1 0.18 27.32 430162 | 1 0.18 27.50 430163 | 1 0.18 27.67 430164 | 1 0.18 27.85 430165 | 1 0.18 28.02 430166 | 1 0.18 28.20 430167 | 1 0.18 28.37 430168 | 1 0.18 28.55 430169 | 1 0.18 28.72 430170 | 1 0.18 28.90 430171 | 1 0.18 29.07 430172 | 1 0.18 29.25 430173 | 1 0.18 29.42 430174 | 1 0.18 29.60 430175 | 1 0.18 29.77 430176 | 1 0.18 29.95 430177 | 1 0.18 30.12 430178 | 1 0.18 30.30 430179 | 1 0.18 30.47 430180 | 1 0.18 30.65 430181 | 1 0.18 30.82 430182 | 1 0.18 31.00 430183 | 1 0.18 31.17 430184 | 1 0.18 31.35 430185 | 1 0.18 31.52 430186 | 1 0.18 31.70 430187 | 1 0.18 31.87 430188 | 1 0.18 32.05 430189 | 1 0.18 32.22 430190 | 1 0.18 32.40 430191 | 1 0.18 32.57 430192 | 1 0.18 32.75 430193 | 1 0.18 32.92 430194 | 1 0.18 33.10 430195 | 1 0.18 33.27 430196 | 1 0.18 33.45 430197 | 1 0.18 33.63 430198 | 1 0.18 33.80 430199 | 1 0.18 33.98 430200 | 1 0.18 34.15 430201 | 1 0.18 34.33 430202 | 1 0.18 34.50 430203 | 1 0.18 34.68 430204 | 1 0.18 34.85 430205 | 1 0.18 35.03 430206 | 1 0.18 35.20 430207 | 1 0.18 35.38 430208 | 1 0.18 35.55 430209 | 1 0.18 35.73 430210 | 1 0.18 35.90 430211 | 1 0.18 36.08 430212 | 1 0.18 36.25 430213 | 1 0.18 36.43 430214 | 1 0.18 36.60 430215 | 1 0.18 36.78 430216 | 1 0.18 36.95 430217 | 1 0.18 37.13 430218 | 1 0.18 37.30 430219 | 1 0.18 37.48 430220 | 1 0.18 37.65 430221 | 1 0.18 37.83 430222 | 1 0.18 38.00 430223 | 1 0.18 38.18 430224 | 1 0.18 38.35 430225 | 1 0.18 38.53 430226 | 1 0.18 38.70 430227 | 1 0.18 38.88 430228 | 1 0.18 39.05 430229 | 1 0.18 39.23 430230 | 1 0.18 39.40 430231 | 1 0.18 39.58 430232 | 1 0.18 39.75 430233 | 1 0.18 39.93 430234 | 1 0.18 40.11 430235 | 1 0.18 40.28 430236 | 1 0.18 40.46 430237 | 1 0.18 40.63 430238 | 1 0.18 40.81 430239 | 1 0.18 40.98 430240 | 1 0.18 41.16 430241 | 1 0.18 41.33 430242 | 1 0.18 41.51 430243 | 1 0.18 41.68 430244 | 1 0.18 41.86 430245 | 1 0.18 42.03 430246 | 1 0.18 42.21 430247 | 1 0.18 42.38 430248 | 1 0.18 42.56 430249 | 1 0.18 42.73 430250 | 1 0.18 42.91 430251 | 1 0.18 43.08 430252 | 1 0.18 43.26 430254 | 1 0.18 43.43 430255 | 1 0.18 43.61 430256 | 1 0.18 43.78 430257 | 1 0.18 43.96 430258 | 1 0.18 44.13 430259 | 1 0.18 44.31 430260 | 1 0.18 44.48 430261 | 1 0.18 44.66 430262 | 1 0.18 44.83 430263 | 1 0.18 45.01 430264 | 1 0.18 45.18 430265 | 1 0.18 45.36 430266 | 1 0.18 45.53 430267 | 1 0.18 45.71 430268 | 1 0.18 45.88 430269 | 1 0.18 46.06 430270 | 1 0.18 46.23 430272 | 1 0.18 46.41 430273 | 1 0.18 46.58 430274 | 1 0.18 46.76 430275 | 1 0.18 46.94 430276 | 1 0.18 47.11 430277 | 1 0.18 47.29 430278 | 1 0.18 47.46 430279 | 1 0.18 47.64 430280 | 1 0.18 47.81 430281 | 1 0.18 47.99 430282 | 1 0.18 48.16 430283 | 1 0.18 48.34 430284 | 1 0.18 48.51 430285 | 1 0.18 48.69 430286 | 1 0.18 48.86 430287 | 1 0.18 49.04 430288 | 1 0.18 49.21 430289 | 1 0.18 49.39 430290 | 1 0.18 49.56 430291 | 1 0.18 49.74 430292 | 1 0.18 49.91 430293 | 1 0.18 50.09 430294 | 1 0.18 50.26 430295 | 1 0.18 50.44 430296 | 1 0.18 50.61 430297 | 1 0.18 50.79 430298 | 1 0.18 50.96 430299 | 1 0.18 51.14 430300 | 1 0.18 51.31 430301 | 1 0.18 51.49 430302 | 1 0.18 51.66 430303 | 1 0.18 51.84 430304 | 1 0.18 52.01 430306 | 1 0.18 52.19 430307 | 1 0.18 52.36 430308 | 1 0.18 52.54 430309 | 1 0.18 52.71 430310 | 1 0.18 52.89 430311 | 1 0.18 53.06 430312 | 1 0.18 53.24 430313 | 1 0.18 53.42 430314 | 1 0.18 53.59 430315 | 1 0.18 53.77 430316 | 1 0.18 53.94 430317 | 1 0.18 54.12 430318 | 1 0.18 54.29 430319 | 1 0.18 54.47 430320 | 1 0.18 54.64 430321 | 1 0.18 54.82 430322 | 1 0.18 54.99 430323 | 1 0.18 55.17 430324 | 1 0.18 55.34 430325 | 1 0.18 55.52 430326 | 1 0.18 55.69 430327 | 1 0.18 55.87 430328 | 1 0.18 56.04 430329 | 1 0.18 56.22 430330 | 1 0.18 56.39 430331 | 1 0.18 56.57 430332 | 1 0.18 56.74 430333 | 1 0.18 56.92 430334 | 1 0.18 57.09 430335 | 1 0.18 57.27 430336 | 1 0.18 57.44 430338 | 1 0.18 57.62 430339 | 1 0.18 57.79 430340 | 1 0.18 57.97 430341 | 1 0.18 58.14 430342 | 1 0.18 58.32 430343 | 1 0.18 58.49 430344 | 1 0.18 58.67 430345 | 1 0.18 58.84 430346 | 1 0.18 59.02 430347 | 1 0.18 59.19 430348 | 1 0.18 59.37 430349 | 1 0.18 59.54 430351 | 1 0.18 59.72 430352 | 1 0.18 59.89 430353 | 1 0.18 60.07 430354 | 1 0.18 60.25 430355 | 1 0.18 60.42 430356 | 1 0.18 60.60 430357 | 1 0.18 60.77 430358 | 1 0.18 60.95 430359 | 1 0.18 61.12 430360 | 1 0.18 61.30 430361 | 1 0.18 61.47 430362 | 1 0.18 61.65 430363 | 1 0.18 61.82 430364 | 1 0.18 62.00 430365 | 1 0.18 62.17 430366 | 1 0.18 62.35 430367 | 1 0.18 62.52 430368 | 1 0.18 62.70 430369 | 1 0.18 62.87 430370 | 1 0.18 63.05 430371 | 1 0.18 63.22 430372 | 1 0.18 63.40 430373 | 1 0.18 63.57 430374 | 1 0.18 63.75 430375 | 1 0.18 63.92 430376 | 1 0.18 64.10 430377 | 1 0.18 64.27 430378 | 1 0.18 64.45 430379 | 1 0.18 64.62 430380 | 1 0.18 64.80 430381 | 1 0.18 64.97 430382 | 1 0.18 65.15 430383 | 1 0.18 65.32 430384 | 1 0.18 65.50 430385 | 1 0.18 65.67 430386 | 1 0.18 65.85 430387 | 1 0.18 66.02 430388 | 1 0.18 66.20 430389 | 1 0.18 66.37 430390 | 1 0.18 66.55 430391 | 1 0.18 66.73 430392 | 1 0.18 66.90 430393 | 1 0.18 67.08 430394 | 1 0.18 67.25 430395 | 1 0.18 67.43 430396 | 1 0.18 67.60 430397 | 1 0.18 67.78 430398 | 1 0.18 67.95 430399 | 1 0.18 68.13 430400 | 1 0.18 68.30 430401 | 1 0.18 68.48 430402 | 1 0.18 68.65 430403 | 1 0.18 68.83 430404 | 1 0.18 69.00 430405 | 1 0.18 69.18 430406 | 1 0.18 69.35 430407 | 1 0.18 69.53 430408 | 1 0.18 69.70 430409 | 1 0.18 69.88 430410 | 1 0.18 70.05 430411 | 1 0.18 70.23 430412 | 1 0.18 70.40 430413 | 1 0.18 70.58 430414 | 1 0.18 70.75 430415 | 1 0.18 70.93 430416 | 1 0.18 71.10 430418 | 1 0.18 71.28 430419 | 1 0.18 71.45 430420 | 1 0.18 71.63 430421 | 1 0.18 71.80 430422 | 1 0.18 71.98 430423 | 1 0.18 72.15 430424 | 1 0.18 72.33 430425 | 1 0.18 72.50 430426 | 1 0.18 72.68 430427 | 1 0.18 72.85 430428 | 1 0.18 73.03 430429 | 1 0.18 73.20 430430 | 1 0.18 73.38 430431 | 1 0.18 73.56 430432 | 1 0.18 73.73 430433 | 1 0.18 73.91 430434 | 1 0.18 74.08 430435 | 1 0.18 74.26 430436 | 1 0.18 74.43 430437 | 1 0.18 74.61 430438 | 1 0.18 74.78 430439 | 1 0.18 74.96 430440 | 1 0.18 75.13 430441 | 1 0.18 75.31 430442 | 1 0.18 75.48 430443 | 1 0.18 75.66 430444 | 1 0.18 75.83 430445 | 1 0.18 76.01 430447 | 1 0.18 76.18 430448 | 1 0.18 76.36 430449 | 1 0.18 76.53 430450 | 1 0.18 76.71 430451 | 1 0.18 76.88 430452 | 1 0.18 77.06 430454 | 1 0.18 77.23 430455 | 1 0.18 77.41 430456 | 1 0.18 77.58 430457 | 1 0.18 77.76 430458 | 1 0.18 77.93 430459 | 1 0.18 78.11 430460 | 1 0.18 78.28 430461 | 1 0.18 78.46 430464 | 1 0.18 78.63 430466 | 1 0.18 78.81 430467 | 1 0.18 78.98 430468 | 1 0.18 79.16 430469 | 1 0.18 79.33 430470 | 1 0.18 79.51 430471 | 1 0.18 79.68 430472 | 1 0.18 79.86 430473 | 1 0.18 80.04 430474 | 1 0.18 80.21 430475 | 1 0.18 80.39 430476 | 1 0.18 80.56 430477 | 1 0.18 80.74 430478 | 1 0.18 80.91 430479 | 1 0.18 81.09 430480 | 1 0.18 81.26 430481 | 1 0.18 81.44 430482 | 1 0.18 81.61 430483 | 1 0.18 81.79 430484 | 1 0.18 81.96 430485 | 1 0.18 82.14 430486 | 1 0.18 82.31 430487 | 1 0.18 82.49 430488 | 1 0.18 82.66 430489 | 1 0.18 82.84 430490 | 1 0.18 83.01 430491 | 1 0.18 83.19 430492 | 1 0.18 83.36 430493 | 1 0.18 83.54 430494 | 1 0.18 83.71 430495 | 1 0.18 83.89 430496 | 1 0.18 84.06 430497 | 1 0.18 84.24 430498 | 1 0.18 84.41 430499 | 1 0.18 84.59 430500 | 1 0.18 84.76 430501 | 1 0.18 84.94 430502 | 1 0.18 85.11 430503 | 1 0.18 85.29 430504 | 1 0.18 85.46 430505 | 1 0.18 85.64 430506 | 1 0.18 85.81 430507 | 1 0.18 85.99 430508 | 1 0.18 86.16 430509 | 1 0.18 86.34 430510 | 1 0.18 86.51 430511 | 1 0.18 86.69 430512 | 1 0.18 86.87 430513 | 1 0.18 87.04 430514 | 1 0.18 87.22 430515 | 1 0.18 87.39 430516 | 1 0.18 87.57 430517 | 1 0.18 87.74 430518 | 1 0.18 87.92 430519 | 1 0.18 88.09 430520 | 1 0.18 88.27 430521 | 1 0.18 88.44 430522 | 1 0.18 88.62 430523 | 1 0.18 88.79 430524 | 1 0.18 88.97 430525 | 1 0.18 89.14 430526 | 1 0.18 89.32 430527 | 1 0.18 89.49 430528 | 1 0.18 89.67 430529 | 1 0.18 89.84 430530 | 1 0.18 90.02 430531 | 1 0.18 90.19 430532 | 1 0.18 90.37 430533 | 1 0.18 90.54 430534 | 1 0.18 90.72 430535 | 1 0.18 90.89 430536 | 1 0.18 91.07 430537 | 1 0.18 91.24 430538 | 1 0.18 91.42 430539 | 1 0.18 91.59 430540 | 1 0.18 91.77 430541 | 1 0.18 91.94 430542 | 1 0.18 92.12 430543 | 1 0.18 92.29 430544 | 1 0.18 92.47 430545 | 1 0.18 92.64 430547 | 1 0.18 92.82 430548 | 1 0.18 92.99 430549 | 1 0.18 93.17 430550 | 1 0.18 93.35 430551 | 1 0.18 93.52 430552 | 1 0.18 93.70 430553 | 1 0.18 93.87 430555 | 1 0.18 94.05 430556 | 1 0.18 94.22 430559 | 1 0.18 94.40 430560 | 1 0.18 94.57 430561 | 1 0.18 94.75 430562 | 1 0.18 94.92 430563 | 1 0.18 95.10 430564 | 1 0.18 95.27 430565 | 1 0.18 95.45 430566 | 1 0.18 95.62 430567 | 1 0.18 95.80 430568 | 1 0.18 95.97 430569 | 1 0.18 96.15 430570 | 1 0.18 96.32 430571 | 1 0.18 96.50 430572 | 1 0.18 96.67 430574 | 1 0.18 96.85 430575 | 1 0.18 97.02 430576 | 1 0.18 97.20 430577 | 1 0.18 97.37 430578 | 1 0.18 97.55 430580 | 1 0.18 97.72 430581 | 1 0.18 97.90 430582 | 1 0.18 98.07 430583 | 1 0.18 98.25 430584 | 1 0.18 98.42 430585 | 1 0.18 98.60 430586 | 1 0.18 98.77 430587 | 1 0.18 98.95 430588 | 1 0.18 99.12 430589 | 1 0.18 99.30 430590 | 1 0.18 99.47 430591 | 1 0.18 99.65 430592 | 1 0.18 99.82 430593 | 1 0.18 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 571 100.00 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 571 100.00 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 317 55.52 55.52 2 | 253 44.31 99.82 3 | 1 0.18 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 2 | 570 99.82 99.82 3 | 1 0.18 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 412 72.15 72.15 2 | 32 5.60 77.76 3 | 12 2.10 79.86 4 | 114 19.96 99.82 6 | 1 0.18 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 55 9.63 9.63 2 | 515 90.19 99.82 3 | 1 0.18 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 2 | 59 10.33 10.33 3 | 252 44.13 54.47 4 | 27 4.73 59.19 5 | 194 33.98 93.17 6 | 38 6.65 99.82 7 | 1 0.18 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 55 9.63 9.63 2 | 513 89.84 99.47 3 | 2 0.35 99.82 4 | 1 0.18 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 407 71.28 71.28 2 | 35 6.13 77.41 3 | 101 17.69 95.10 4 | 28 4.90 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 571 100.00 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 198 34.68 34.68 2 | 373 65.32 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 280 49.04 49.04 2 | 291 50.96 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 69 12.08 12.08 2 | 502 87.92 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 397 69.53 69.53 2 | 152 26.62 96.15 3 | 22 3.85 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 10 1.75 1.75 2 | 561 98.25 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 37 6.48 6.48 2 | 534 93.52 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 298 52.19 52.19 2 | 273 47.81 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 236 41.33 41.33 2 | 335 58.67 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 23 4.03 4.03 2 | 548 95.97 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 57 9.98 9.98 2 | 514 90.02 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 571 100.00 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 181 31.70 31.70 2 | 78 13.66 45.36 3 | 312 54.64 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 69 12.08 12.08 2 | 502 87.92 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 66 11.56 11.56 2 | 505 88.44 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 90 15.76 15.76 2 | 481 84.24 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 87 15.24 15.24 2 | 484 84.76 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 22 3.85 3.85 2 | 549 96.15 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 105 18.39 18.39 2 | 466 81.61 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 187 32.75 32.75 2 | 384 67.25 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.35 0.35 2 | 569 99.65 100.00 ------------+----------------------------------- Total | 571 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.35 0.35 2 | 569 99.65 100.00 ------------+----------------------------------- Total | 571 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016