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. ------------+----------------------------------- 1999 | 531 100.00 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 531 100.00 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 530 99.81 99.81 999 | 1 0.19 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 506 95.29 95.29 2 | 23 4.33 99.62 3 | 2 0.38 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for st_case variable in acc_aux dataset : st_case | Freq. Percent Cum. ------------+----------------------------------- 430002 | 1 0.19 0.19 430003 | 1 0.19 0.38 430004 | 1 0.19 0.56 430005 | 1 0.19 0.75 430006 | 1 0.19 0.94 430007 | 1 0.19 1.13 430008 | 1 0.19 1.32 430009 | 1 0.19 1.51 430010 | 1 0.19 1.69 430011 | 1 0.19 1.88 430012 | 1 0.19 2.07 430014 | 1 0.19 2.26 430015 | 1 0.19 2.45 430016 | 1 0.19 2.64 430017 | 1 0.19 2.82 430018 | 1 0.19 3.01 430019 | 1 0.19 3.20 430020 | 1 0.19 3.39 430021 | 1 0.19 3.58 430022 | 1 0.19 3.77 430023 | 1 0.19 3.95 430024 | 1 0.19 4.14 430025 | 1 0.19 4.33 430026 | 1 0.19 4.52 430027 | 1 0.19 4.71 430028 | 1 0.19 4.90 430029 | 1 0.19 5.08 430030 | 1 0.19 5.27 430031 | 1 0.19 5.46 430032 | 1 0.19 5.65 430033 | 1 0.19 5.84 430034 | 1 0.19 6.03 430035 | 1 0.19 6.21 430036 | 1 0.19 6.40 430037 | 1 0.19 6.59 430038 | 1 0.19 6.78 430039 | 1 0.19 6.97 430040 | 1 0.19 7.16 430041 | 1 0.19 7.34 430042 | 1 0.19 7.53 430043 | 1 0.19 7.72 430045 | 1 0.19 7.91 430046 | 1 0.19 8.10 430047 | 1 0.19 8.29 430048 | 1 0.19 8.47 430049 | 1 0.19 8.66 430050 | 1 0.19 8.85 430051 | 1 0.19 9.04 430052 | 1 0.19 9.23 430053 | 1 0.19 9.42 430054 | 1 0.19 9.60 430055 | 1 0.19 9.79 430056 | 1 0.19 9.98 430057 | 1 0.19 10.17 430058 | 1 0.19 10.36 430059 | 1 0.19 10.55 430060 | 1 0.19 10.73 430061 | 1 0.19 10.92 430062 | 1 0.19 11.11 430063 | 1 0.19 11.30 430064 | 1 0.19 11.49 430065 | 1 0.19 11.68 430066 | 1 0.19 11.86 430067 | 1 0.19 12.05 430068 | 1 0.19 12.24 430070 | 1 0.19 12.43 430071 | 1 0.19 12.62 430072 | 1 0.19 12.81 430073 | 1 0.19 12.99 430074 | 1 0.19 13.18 430075 | 1 0.19 13.37 430076 | 1 0.19 13.56 430077 | 1 0.19 13.75 430078 | 1 0.19 13.94 430079 | 1 0.19 14.12 430080 | 1 0.19 14.31 430081 | 1 0.19 14.50 430082 | 1 0.19 14.69 430083 | 1 0.19 14.88 430084 | 1 0.19 15.07 430085 | 1 0.19 15.25 430086 | 1 0.19 15.44 430087 | 1 0.19 15.63 430088 | 1 0.19 15.82 430089 | 1 0.19 16.01 430090 | 1 0.19 16.20 430091 | 1 0.19 16.38 430092 | 1 0.19 16.57 430093 | 1 0.19 16.76 430094 | 1 0.19 16.95 430095 | 1 0.19 17.14 430096 | 1 0.19 17.33 430097 | 1 0.19 17.51 430098 | 1 0.19 17.70 430099 | 1 0.19 17.89 430100 | 1 0.19 18.08 430101 | 1 0.19 18.27 430102 | 1 0.19 18.46 430103 | 1 0.19 18.64 430104 | 1 0.19 18.83 430105 | 1 0.19 19.02 430106 | 1 0.19 19.21 430107 | 1 0.19 19.40 430108 | 1 0.19 19.59 430109 | 1 0.19 19.77 430110 | 1 0.19 19.96 430111 | 1 0.19 20.15 430112 | 1 0.19 20.34 430113 | 1 0.19 20.53 430114 | 1 0.19 20.72 430115 | 1 0.19 20.90 430116 | 1 0.19 21.09 430117 | 1 0.19 21.28 430118 | 1 0.19 21.47 430119 | 1 0.19 21.66 430120 | 1 0.19 21.85 430121 | 1 0.19 22.03 430122 | 1 0.19 22.22 430123 | 1 0.19 22.41 430124 | 1 0.19 22.60 430125 | 1 0.19 22.79 430126 | 1 0.19 22.98 430127 | 1 0.19 23.16 430128 | 1 0.19 23.35 430129 | 1 0.19 23.54 430130 | 1 0.19 23.73 430131 | 1 0.19 23.92 430132 | 1 0.19 24.11 430133 | 1 0.19 24.29 430134 | 1 0.19 24.48 430135 | 1 0.19 24.67 430136 | 1 0.19 24.86 430137 | 1 0.19 25.05 430138 | 1 0.19 25.24 430139 | 1 0.19 25.42 430140 | 1 0.19 25.61 430141 | 1 0.19 25.80 430142 | 1 0.19 25.99 430143 | 1 0.19 26.18 430144 | 1 0.19 26.37 430145 | 1 0.19 26.55 430146 | 1 0.19 26.74 430147 | 1 0.19 26.93 430148 | 1 0.19 27.12 430149 | 1 0.19 27.31 430150 | 1 0.19 27.50 430151 | 1 0.19 27.68 430152 | 1 0.19 27.87 430153 | 1 0.19 28.06 430154 | 1 0.19 28.25 430155 | 1 0.19 28.44 430156 | 1 0.19 28.63 430157 | 1 0.19 28.81 430158 | 1 0.19 29.00 430159 | 1 0.19 29.19 430160 | 1 0.19 29.38 430161 | 1 0.19 29.57 430162 | 1 0.19 29.76 430163 | 1 0.19 29.94 430164 | 1 0.19 30.13 430165 | 1 0.19 30.32 430166 | 1 0.19 30.51 430167 | 1 0.19 30.70 430168 | 1 0.19 30.89 430169 | 1 0.19 31.07 430170 | 1 0.19 31.26 430171 | 1 0.19 31.45 430172 | 1 0.19 31.64 430173 | 1 0.19 31.83 430174 | 1 0.19 32.02 430175 | 1 0.19 32.20 430176 | 1 0.19 32.39 430177 | 1 0.19 32.58 430178 | 1 0.19 32.77 430179 | 1 0.19 32.96 430180 | 1 0.19 33.15 430181 | 1 0.19 33.33 430182 | 1 0.19 33.52 430183 | 1 0.19 33.71 430184 | 1 0.19 33.90 430185 | 1 0.19 34.09 430186 | 1 0.19 34.27 430187 | 1 0.19 34.46 430188 | 1 0.19 34.65 430189 | 1 0.19 34.84 430190 | 1 0.19 35.03 430191 | 1 0.19 35.22 430192 | 1 0.19 35.40 430193 | 1 0.19 35.59 430194 | 1 0.19 35.78 430195 | 1 0.19 35.97 430196 | 1 0.19 36.16 430197 | 1 0.19 36.35 430198 | 1 0.19 36.53 430199 | 1 0.19 36.72 430200 | 1 0.19 36.91 430201 | 1 0.19 37.10 430202 | 1 0.19 37.29 430203 | 1 0.19 37.48 430204 | 1 0.19 37.66 430205 | 1 0.19 37.85 430206 | 1 0.19 38.04 430207 | 1 0.19 38.23 430208 | 1 0.19 38.42 430209 | 1 0.19 38.61 430210 | 1 0.19 38.79 430211 | 1 0.19 38.98 430212 | 1 0.19 39.17 430213 | 1 0.19 39.36 430214 | 1 0.19 39.55 430215 | 1 0.19 39.74 430216 | 1 0.19 39.92 430217 | 1 0.19 40.11 430218 | 1 0.19 40.30 430219 | 1 0.19 40.49 430220 | 1 0.19 40.68 430221 | 1 0.19 40.87 430222 | 1 0.19 41.05 430223 | 1 0.19 41.24 430224 | 1 0.19 41.43 430225 | 1 0.19 41.62 430226 | 1 0.19 41.81 430227 | 1 0.19 42.00 430228 | 1 0.19 42.18 430229 | 1 0.19 42.37 430230 | 1 0.19 42.56 430231 | 1 0.19 42.75 430232 | 1 0.19 42.94 430233 | 1 0.19 43.13 430234 | 1 0.19 43.31 430235 | 1 0.19 43.50 430236 | 1 0.19 43.69 430237 | 1 0.19 43.88 430238 | 1 0.19 44.07 430239 | 1 0.19 44.26 430240 | 1 0.19 44.44 430241 | 1 0.19 44.63 430242 | 1 0.19 44.82 430243 | 1 0.19 45.01 430244 | 1 0.19 45.20 430245 | 1 0.19 45.39 430246 | 1 0.19 45.57 430247 | 1 0.19 45.76 430248 | 1 0.19 45.95 430249 | 1 0.19 46.14 430250 | 1 0.19 46.33 430251 | 1 0.19 46.52 430252 | 1 0.19 46.70 430253 | 1 0.19 46.89 430254 | 1 0.19 47.08 430255 | 1 0.19 47.27 430256 | 1 0.19 47.46 430257 | 1 0.19 47.65 430259 | 1 0.19 47.83 430260 | 1 0.19 48.02 430261 | 1 0.19 48.21 430262 | 1 0.19 48.40 430263 | 1 0.19 48.59 430264 | 1 0.19 48.78 430265 | 1 0.19 48.96 430266 | 1 0.19 49.15 430267 | 1 0.19 49.34 430268 | 1 0.19 49.53 430269 | 1 0.19 49.72 430270 | 1 0.19 49.91 430271 | 1 0.19 50.09 430272 | 1 0.19 50.28 430273 | 1 0.19 50.47 430274 | 1 0.19 50.66 430275 | 1 0.19 50.85 430276 | 1 0.19 51.04 430277 | 1 0.19 51.22 430278 | 1 0.19 51.41 430279 | 1 0.19 51.60 430280 | 1 0.19 51.79 430281 | 1 0.19 51.98 430282 | 1 0.19 52.17 430283 | 1 0.19 52.35 430284 | 1 0.19 52.54 430285 | 1 0.19 52.73 430286 | 1 0.19 52.92 430287 | 1 0.19 53.11 430288 | 1 0.19 53.30 430289 | 1 0.19 53.48 430290 | 1 0.19 53.67 430291 | 1 0.19 53.86 430292 | 1 0.19 54.05 430293 | 1 0.19 54.24 430294 | 1 0.19 54.43 430295 | 1 0.19 54.61 430296 | 1 0.19 54.80 430297 | 1 0.19 54.99 430298 | 1 0.19 55.18 430299 | 1 0.19 55.37 430300 | 1 0.19 55.56 430301 | 1 0.19 55.74 430302 | 1 0.19 55.93 430303 | 1 0.19 56.12 430304 | 1 0.19 56.31 430305 | 1 0.19 56.50 430306 | 1 0.19 56.69 430307 | 1 0.19 56.87 430308 | 1 0.19 57.06 430309 | 1 0.19 57.25 430310 | 1 0.19 57.44 430311 | 1 0.19 57.63 430312 | 1 0.19 57.82 430313 | 1 0.19 58.00 430314 | 1 0.19 58.19 430315 | 1 0.19 58.38 430316 | 1 0.19 58.57 430317 | 1 0.19 58.76 430318 | 1 0.19 58.95 430319 | 1 0.19 59.13 430320 | 1 0.19 59.32 430321 | 1 0.19 59.51 430322 | 1 0.19 59.70 430323 | 1 0.19 59.89 430324 | 1 0.19 60.08 430325 | 1 0.19 60.26 430326 | 1 0.19 60.45 430327 | 1 0.19 60.64 430328 | 1 0.19 60.83 430329 | 1 0.19 61.02 430330 | 1 0.19 61.21 430331 | 1 0.19 61.39 430332 | 1 0.19 61.58 430333 | 1 0.19 61.77 430334 | 1 0.19 61.96 430335 | 1 0.19 62.15 430336 | 1 0.19 62.34 430337 | 1 0.19 62.52 430338 | 1 0.19 62.71 430339 | 1 0.19 62.90 430340 | 1 0.19 63.09 430341 | 1 0.19 63.28 430342 | 1 0.19 63.47 430343 | 1 0.19 63.65 430344 | 1 0.19 63.84 430345 | 1 0.19 64.03 430346 | 1 0.19 64.22 430347 | 1 0.19 64.41 430348 | 1 0.19 64.60 430349 | 1 0.19 64.78 430350 | 1 0.19 64.97 430351 | 1 0.19 65.16 430352 | 1 0.19 65.35 430353 | 1 0.19 65.54 430354 | 1 0.19 65.73 430355 | 1 0.19 65.91 430356 | 1 0.19 66.10 430357 | 1 0.19 66.29 430358 | 1 0.19 66.48 430359 | 1 0.19 66.67 430360 | 1 0.19 66.85 430361 | 1 0.19 67.04 430362 | 1 0.19 67.23 430363 | 1 0.19 67.42 430364 | 1 0.19 67.61 430365 | 1 0.19 67.80 430366 | 1 0.19 67.98 430367 | 1 0.19 68.17 430368 | 1 0.19 68.36 430369 | 1 0.19 68.55 430370 | 1 0.19 68.74 430371 | 1 0.19 68.93 430372 | 1 0.19 69.11 430373 | 1 0.19 69.30 430374 | 1 0.19 69.49 430375 | 1 0.19 69.68 430376 | 1 0.19 69.87 430377 | 1 0.19 70.06 430378 | 1 0.19 70.24 430379 | 1 0.19 70.43 430380 | 1 0.19 70.62 430381 | 1 0.19 70.81 430382 | 1 0.19 71.00 430383 | 1 0.19 71.19 430384 | 1 0.19 71.37 430385 | 1 0.19 71.56 430386 | 1 0.19 71.75 430387 | 1 0.19 71.94 430388 | 1 0.19 72.13 430389 | 1 0.19 72.32 430390 | 1 0.19 72.50 430391 | 1 0.19 72.69 430392 | 1 0.19 72.88 430393 | 1 0.19 73.07 430394 | 1 0.19 73.26 430395 | 1 0.19 73.45 430396 | 1 0.19 73.63 430397 | 1 0.19 73.82 430398 | 1 0.19 74.01 430399 | 1 0.19 74.20 430400 | 1 0.19 74.39 430401 | 1 0.19 74.58 430402 | 1 0.19 74.76 430403 | 1 0.19 74.95 430404 | 1 0.19 75.14 430405 | 1 0.19 75.33 430407 | 1 0.19 75.52 430408 | 1 0.19 75.71 430409 | 1 0.19 75.89 430410 | 1 0.19 76.08 430411 | 1 0.19 76.27 430412 | 1 0.19 76.46 430413 | 1 0.19 76.65 430414 | 1 0.19 76.84 430415 | 1 0.19 77.02 430416 | 1 0.19 77.21 430417 | 1 0.19 77.40 430418 | 1 0.19 77.59 430419 | 1 0.19 77.78 430420 | 1 0.19 77.97 430421 | 1 0.19 78.15 430422 | 1 0.19 78.34 430423 | 1 0.19 78.53 430424 | 1 0.19 78.72 430425 | 1 0.19 78.91 430426 | 1 0.19 79.10 430427 | 1 0.19 79.28 430428 | 1 0.19 79.47 430429 | 1 0.19 79.66 430430 | 1 0.19 79.85 430431 | 1 0.19 80.04 430432 | 1 0.19 80.23 430433 | 1 0.19 80.41 430434 | 1 0.19 80.60 430435 | 1 0.19 80.79 430436 | 1 0.19 80.98 430437 | 1 0.19 81.17 430438 | 1 0.19 81.36 430439 | 1 0.19 81.54 430440 | 1 0.19 81.73 430441 | 1 0.19 81.92 430442 | 1 0.19 82.11 430443 | 1 0.19 82.30 430444 | 1 0.19 82.49 430445 | 1 0.19 82.67 430446 | 1 0.19 82.86 430447 | 1 0.19 83.05 430448 | 1 0.19 83.24 430449 | 1 0.19 83.43 430450 | 1 0.19 83.62 430451 | 1 0.19 83.80 430452 | 1 0.19 83.99 430453 | 1 0.19 84.18 430454 | 1 0.19 84.37 430455 | 1 0.19 84.56 430456 | 1 0.19 84.75 430457 | 1 0.19 84.93 430458 | 1 0.19 85.12 430459 | 1 0.19 85.31 430460 | 1 0.19 85.50 430461 | 1 0.19 85.69 430462 | 1 0.19 85.88 430463 | 1 0.19 86.06 430464 | 1 0.19 86.25 430465 | 1 0.19 86.44 430466 | 1 0.19 86.63 430467 | 1 0.19 86.82 430468 | 1 0.19 87.01 430469 | 1 0.19 87.19 430470 | 1 0.19 87.38 430471 | 1 0.19 87.57 430472 | 1 0.19 87.76 430473 | 1 0.19 87.95 430474 | 1 0.19 88.14 430475 | 1 0.19 88.32 430476 | 1 0.19 88.51 430477 | 1 0.19 88.70 430478 | 1 0.19 88.89 430479 | 1 0.19 89.08 430480 | 1 0.19 89.27 430481 | 1 0.19 89.45 430482 | 1 0.19 89.64 430483 | 1 0.19 89.83 430485 | 1 0.19 90.02 430486 | 1 0.19 90.21 430487 | 1 0.19 90.40 430488 | 1 0.19 90.58 430489 | 1 0.19 90.77 430490 | 1 0.19 90.96 430491 | 1 0.19 91.15 430492 | 1 0.19 91.34 430493 | 1 0.19 91.53 430494 | 1 0.19 91.71 430495 | 1 0.19 91.90 430496 | 1 0.19 92.09 430497 | 1 0.19 92.28 430498 | 1 0.19 92.47 430499 | 1 0.19 92.66 430500 | 1 0.19 92.84 430501 | 1 0.19 93.03 430502 | 1 0.19 93.22 430503 | 1 0.19 93.41 430504 | 1 0.19 93.60 430505 | 1 0.19 93.79 430506 | 1 0.19 93.97 430507 | 1 0.19 94.16 430508 | 1 0.19 94.35 430509 | 1 0.19 94.54 430510 | 1 0.19 94.73 430511 | 1 0.19 94.92 430512 | 1 0.19 95.10 430513 | 1 0.19 95.29 430514 | 1 0.19 95.48 430515 | 1 0.19 95.67 430516 | 1 0.19 95.86 430517 | 1 0.19 96.05 430518 | 1 0.19 96.23 430519 | 1 0.19 96.42 430520 | 1 0.19 96.61 430521 | 1 0.19 96.80 430522 | 1 0.19 96.99 430523 | 1 0.19 97.18 430524 | 1 0.19 97.36 430525 | 1 0.19 97.55 430526 | 1 0.19 97.74 430527 | 1 0.19 97.93 430528 | 1 0.19 98.12 430529 | 1 0.19 98.31 430530 | 1 0.19 98.49 430531 | 1 0.19 98.68 430532 | 1 0.19 98.87 430533 | 1 0.19 99.06 430534 | 1 0.19 99.25 430535 | 1 0.19 99.44 430536 | 1 0.19 99.62 430537 | 1 0.19 99.81 430538 | 1 0.19 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 531 100.00 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 531 100.00 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 204 38.42 38.42 2 | 327 61.58 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 99 18.64 18.64 2 | 432 81.36 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 358 67.42 67.42 2 | 15 2.82 70.24 3 | 16 3.01 73.26 4 | 142 26.74 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 6.78 6.78 2 | 495 93.22 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 99 18.64 18.64 2 | 6 1.13 19.77 3 | 109 20.53 40.30 4 | 110 20.72 61.02 5 | 127 23.92 84.93 6 | 80 15.07 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 6.78 6.78 2 | 495 93.22 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 361 67.98 67.98 2 | 27 5.08 73.07 3 | 32 6.03 79.10 4 | 86 16.20 95.29 5 | 25 4.71 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 531 100.00 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 192 36.16 36.16 2 | 338 63.65 99.81 3 | 1 0.19 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 275 51.79 51.79 2 | 256 48.21 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 46 8.66 8.66 2 | 485 91.34 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 355 66.85 66.85 2 | 160 30.13 96.99 3 | 16 3.01 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 30 5.65 5.65 2 | 501 94.35 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 6.78 6.78 2 | 495 93.22 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 256 48.21 48.21 2 | 275 51.79 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 192 36.16 36.16 2 | 339 63.84 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 15 2.82 2.82 2 | 516 97.18 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 38 7.16 7.16 2 | 493 92.84 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 531 100.00 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 140 26.37 26.37 2 | 180 33.90 60.26 3 | 211 39.74 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 64 12.05 12.05 2 | 467 87.95 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 62 11.68 11.68 2 | 469 88.32 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 90 16.95 16.95 2 | 441 83.05 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 88 16.57 16.57 2 | 443 83.43 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 38 7.16 7.16 2 | 493 92.84 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 105 19.77 19.77 2 | 426 80.23 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 188 35.40 35.40 2 | 343 64.60 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.19 0.19 2 | 530 99.81 100.00 ------------+----------------------------------- Total | 531 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.19 0.19 2 | 530 99.81 100.00 ------------+----------------------------------- Total | 531 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016