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. ------------+----------------------------------- 1996 | 547 100.00 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 547 100.00 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 547 100.00 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 503 91.96 91.96 2 | 36 6.58 98.54 3 | 6 1.10 99.63 4 | 2 0.37 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for st_case variable in acc_aux dataset : st_case | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.18 0.18 430002 | 1 0.18 0.37 430003 | 1 0.18 0.55 430004 | 1 0.18 0.73 430005 | 1 0.18 0.91 430006 | 1 0.18 1.10 430007 | 1 0.18 1.28 430008 | 1 0.18 1.46 430009 | 1 0.18 1.65 430010 | 1 0.18 1.83 430011 | 1 0.18 2.01 430012 | 1 0.18 2.19 430013 | 1 0.18 2.38 430014 | 1 0.18 2.56 430015 | 1 0.18 2.74 430016 | 1 0.18 2.93 430017 | 1 0.18 3.11 430018 | 1 0.18 3.29 430019 | 1 0.18 3.47 430020 | 1 0.18 3.66 430021 | 1 0.18 3.84 430022 | 1 0.18 4.02 430023 | 1 0.18 4.20 430024 | 1 0.18 4.39 430025 | 1 0.18 4.57 430026 | 1 0.18 4.75 430027 | 1 0.18 4.94 430028 | 1 0.18 5.12 430029 | 1 0.18 5.30 430030 | 1 0.18 5.48 430031 | 1 0.18 5.67 430033 | 1 0.18 5.85 430034 | 1 0.18 6.03 430035 | 1 0.18 6.22 430036 | 1 0.18 6.40 430037 | 1 0.18 6.58 430038 | 1 0.18 6.76 430039 | 1 0.18 6.95 430040 | 1 0.18 7.13 430041 | 1 0.18 7.31 430042 | 1 0.18 7.50 430044 | 1 0.18 7.68 430045 | 1 0.18 7.86 430046 | 1 0.18 8.04 430047 | 1 0.18 8.23 430048 | 1 0.18 8.41 430049 | 1 0.18 8.59 430050 | 1 0.18 8.78 430051 | 1 0.18 8.96 430052 | 1 0.18 9.14 430053 | 1 0.18 9.32 430054 | 1 0.18 9.51 430055 | 1 0.18 9.69 430056 | 1 0.18 9.87 430057 | 1 0.18 10.05 430058 | 1 0.18 10.24 430059 | 1 0.18 10.42 430060 | 1 0.18 10.60 430061 | 1 0.18 10.79 430062 | 1 0.18 10.97 430063 | 1 0.18 11.15 430064 | 1 0.18 11.33 430065 | 1 0.18 11.52 430066 | 1 0.18 11.70 430067 | 1 0.18 11.88 430068 | 1 0.18 12.07 430069 | 1 0.18 12.25 430070 | 1 0.18 12.43 430071 | 1 0.18 12.61 430072 | 1 0.18 12.80 430073 | 1 0.18 12.98 430074 | 1 0.18 13.16 430075 | 1 0.18 13.35 430076 | 1 0.18 13.53 430077 | 1 0.18 13.71 430078 | 1 0.18 13.89 430079 | 1 0.18 14.08 430080 | 1 0.18 14.26 430081 | 1 0.18 14.44 430082 | 1 0.18 14.63 430083 | 1 0.18 14.81 430084 | 1 0.18 14.99 430085 | 1 0.18 15.17 430086 | 1 0.18 15.36 430087 | 1 0.18 15.54 430088 | 1 0.18 15.72 430089 | 1 0.18 15.90 430090 | 1 0.18 16.09 430091 | 1 0.18 16.27 430092 | 1 0.18 16.45 430093 | 1 0.18 16.64 430094 | 1 0.18 16.82 430095 | 1 0.18 17.00 430096 | 1 0.18 17.18 430097 | 1 0.18 17.37 430098 | 1 0.18 17.55 430099 | 1 0.18 17.73 430100 | 1 0.18 17.92 430101 | 1 0.18 18.10 430102 | 1 0.18 18.28 430103 | 1 0.18 18.46 430104 | 1 0.18 18.65 430105 | 1 0.18 18.83 430106 | 1 0.18 19.01 430107 | 1 0.18 19.20 430108 | 1 0.18 19.38 430109 | 1 0.18 19.56 430110 | 1 0.18 19.74 430111 | 1 0.18 19.93 430112 | 1 0.18 20.11 430113 | 1 0.18 20.29 430114 | 1 0.18 20.48 430115 | 1 0.18 20.66 430116 | 1 0.18 20.84 430117 | 1 0.18 21.02 430118 | 1 0.18 21.21 430119 | 1 0.18 21.39 430120 | 1 0.18 21.57 430121 | 1 0.18 21.76 430122 | 1 0.18 21.94 430123 | 1 0.18 22.12 430124 | 1 0.18 22.30 430125 | 1 0.18 22.49 430126 | 1 0.18 22.67 430127 | 1 0.18 22.85 430128 | 1 0.18 23.03 430129 | 1 0.18 23.22 430130 | 1 0.18 23.40 430131 | 1 0.18 23.58 430132 | 1 0.18 23.77 430133 | 1 0.18 23.95 430134 | 1 0.18 24.13 430135 | 1 0.18 24.31 430136 | 1 0.18 24.50 430137 | 1 0.18 24.68 430138 | 1 0.18 24.86 430139 | 1 0.18 25.05 430140 | 1 0.18 25.23 430141 | 1 0.18 25.41 430142 | 1 0.18 25.59 430143 | 1 0.18 25.78 430144 | 1 0.18 25.96 430145 | 1 0.18 26.14 430146 | 1 0.18 26.33 430147 | 1 0.18 26.51 430148 | 1 0.18 26.69 430149 | 1 0.18 26.87 430150 | 1 0.18 27.06 430151 | 1 0.18 27.24 430152 | 1 0.18 27.42 430153 | 1 0.18 27.61 430155 | 1 0.18 27.79 430156 | 1 0.18 27.97 430157 | 1 0.18 28.15 430158 | 1 0.18 28.34 430159 | 1 0.18 28.52 430160 | 1 0.18 28.70 430161 | 1 0.18 28.88 430162 | 1 0.18 29.07 430163 | 1 0.18 29.25 430164 | 1 0.18 29.43 430165 | 1 0.18 29.62 430166 | 1 0.18 29.80 430167 | 1 0.18 29.98 430168 | 1 0.18 30.16 430169 | 1 0.18 30.35 430170 | 1 0.18 30.53 430171 | 1 0.18 30.71 430172 | 1 0.18 30.90 430173 | 1 0.18 31.08 430174 | 1 0.18 31.26 430175 | 1 0.18 31.44 430176 | 1 0.18 31.63 430177 | 1 0.18 31.81 430178 | 1 0.18 31.99 430179 | 1 0.18 32.18 430180 | 1 0.18 32.36 430181 | 1 0.18 32.54 430182 | 1 0.18 32.72 430183 | 1 0.18 32.91 430184 | 1 0.18 33.09 430185 | 1 0.18 33.27 430186 | 1 0.18 33.46 430187 | 1 0.18 33.64 430188 | 1 0.18 33.82 430189 | 1 0.18 34.00 430190 | 1 0.18 34.19 430191 | 1 0.18 34.37 430192 | 1 0.18 34.55 430193 | 1 0.18 34.73 430194 | 1 0.18 34.92 430195 | 1 0.18 35.10 430196 | 1 0.18 35.28 430197 | 1 0.18 35.47 430198 | 1 0.18 35.65 430199 | 1 0.18 35.83 430200 | 1 0.18 36.01 430201 | 1 0.18 36.20 430202 | 1 0.18 36.38 430203 | 1 0.18 36.56 430204 | 1 0.18 36.75 430205 | 1 0.18 36.93 430206 | 1 0.18 37.11 430207 | 1 0.18 37.29 430208 | 1 0.18 37.48 430209 | 1 0.18 37.66 430210 | 1 0.18 37.84 430211 | 1 0.18 38.03 430212 | 1 0.18 38.21 430213 | 1 0.18 38.39 430214 | 1 0.18 38.57 430215 | 1 0.18 38.76 430216 | 1 0.18 38.94 430217 | 1 0.18 39.12 430218 | 1 0.18 39.31 430219 | 1 0.18 39.49 430220 | 1 0.18 39.67 430221 | 1 0.18 39.85 430222 | 1 0.18 40.04 430223 | 1 0.18 40.22 430224 | 1 0.18 40.40 430225 | 1 0.18 40.59 430226 | 1 0.18 40.77 430227 | 1 0.18 40.95 430228 | 1 0.18 41.13 430229 | 1 0.18 41.32 430230 | 1 0.18 41.50 430231 | 1 0.18 41.68 430232 | 1 0.18 41.86 430233 | 1 0.18 42.05 430234 | 1 0.18 42.23 430235 | 1 0.18 42.41 430236 | 1 0.18 42.60 430237 | 1 0.18 42.78 430238 | 1 0.18 42.96 430239 | 1 0.18 43.14 430240 | 1 0.18 43.33 430241 | 1 0.18 43.51 430242 | 1 0.18 43.69 430243 | 1 0.18 43.88 430244 | 1 0.18 44.06 430246 | 1 0.18 44.24 430247 | 1 0.18 44.42 430248 | 1 0.18 44.61 430249 | 1 0.18 44.79 430250 | 1 0.18 44.97 430251 | 1 0.18 45.16 430252 | 1 0.18 45.34 430253 | 1 0.18 45.52 430254 | 1 0.18 45.70 430255 | 1 0.18 45.89 430256 | 1 0.18 46.07 430257 | 1 0.18 46.25 430258 | 1 0.18 46.44 430259 | 1 0.18 46.62 430260 | 1 0.18 46.80 430261 | 1 0.18 46.98 430262 | 1 0.18 47.17 430263 | 1 0.18 47.35 430264 | 1 0.18 47.53 430265 | 1 0.18 47.71 430266 | 1 0.18 47.90 430267 | 1 0.18 48.08 430268 | 1 0.18 48.26 430269 | 1 0.18 48.45 430270 | 1 0.18 48.63 430271 | 1 0.18 48.81 430272 | 1 0.18 48.99 430273 | 1 0.18 49.18 430274 | 1 0.18 49.36 430275 | 1 0.18 49.54 430276 | 1 0.18 49.73 430277 | 1 0.18 49.91 430278 | 1 0.18 50.09 430279 | 1 0.18 50.27 430280 | 1 0.18 50.46 430281 | 1 0.18 50.64 430282 | 1 0.18 50.82 430283 | 1 0.18 51.01 430284 | 1 0.18 51.19 430285 | 1 0.18 51.37 430286 | 1 0.18 51.55 430287 | 1 0.18 51.74 430288 | 1 0.18 51.92 430289 | 1 0.18 52.10 430290 | 1 0.18 52.29 430291 | 1 0.18 52.47 430292 | 1 0.18 52.65 430293 | 1 0.18 52.83 430294 | 1 0.18 53.02 430295 | 1 0.18 53.20 430296 | 1 0.18 53.38 430297 | 1 0.18 53.56 430298 | 1 0.18 53.75 430299 | 1 0.18 53.93 430300 | 1 0.18 54.11 430301 | 1 0.18 54.30 430302 | 1 0.18 54.48 430303 | 1 0.18 54.66 430304 | 1 0.18 54.84 430305 | 1 0.18 55.03 430306 | 1 0.18 55.21 430307 | 1 0.18 55.39 430308 | 1 0.18 55.58 430309 | 1 0.18 55.76 430310 | 1 0.18 55.94 430311 | 1 0.18 56.12 430313 | 1 0.18 56.31 430314 | 1 0.18 56.49 430315 | 1 0.18 56.67 430316 | 1 0.18 56.86 430317 | 1 0.18 57.04 430318 | 1 0.18 57.22 430319 | 1 0.18 57.40 430320 | 1 0.18 57.59 430321 | 1 0.18 57.77 430322 | 1 0.18 57.95 430323 | 1 0.18 58.14 430324 | 1 0.18 58.32 430325 | 1 0.18 58.50 430326 | 1 0.18 58.68 430327 | 1 0.18 58.87 430328 | 1 0.18 59.05 430329 | 1 0.18 59.23 430330 | 1 0.18 59.41 430331 | 1 0.18 59.60 430332 | 1 0.18 59.78 430333 | 1 0.18 59.96 430334 | 1 0.18 60.15 430335 | 1 0.18 60.33 430336 | 1 0.18 60.51 430337 | 1 0.18 60.69 430338 | 1 0.18 60.88 430339 | 1 0.18 61.06 430340 | 1 0.18 61.24 430341 | 1 0.18 61.43 430342 | 1 0.18 61.61 430343 | 1 0.18 61.79 430344 | 1 0.18 61.97 430345 | 1 0.18 62.16 430346 | 1 0.18 62.34 430347 | 1 0.18 62.52 430348 | 1 0.18 62.71 430349 | 1 0.18 62.89 430350 | 1 0.18 63.07 430351 | 1 0.18 63.25 430352 | 1 0.18 63.44 430353 | 1 0.18 63.62 430355 | 1 0.18 63.80 430356 | 1 0.18 63.99 430357 | 1 0.18 64.17 430358 | 1 0.18 64.35 430359 | 1 0.18 64.53 430360 | 1 0.18 64.72 430361 | 1 0.18 64.90 430362 | 1 0.18 65.08 430363 | 1 0.18 65.27 430364 | 1 0.18 65.45 430365 | 1 0.18 65.63 430366 | 1 0.18 65.81 430367 | 1 0.18 66.00 430368 | 1 0.18 66.18 430369 | 1 0.18 66.36 430370 | 1 0.18 66.54 430371 | 1 0.18 66.73 430372 | 1 0.18 66.91 430373 | 1 0.18 67.09 430374 | 1 0.18 67.28 430375 | 1 0.18 67.46 430376 | 1 0.18 67.64 430377 | 1 0.18 67.82 430378 | 1 0.18 68.01 430379 | 1 0.18 68.19 430380 | 1 0.18 68.37 430381 | 1 0.18 68.56 430382 | 1 0.18 68.74 430383 | 1 0.18 68.92 430384 | 1 0.18 69.10 430385 | 1 0.18 69.29 430386 | 1 0.18 69.47 430387 | 1 0.18 69.65 430388 | 1 0.18 69.84 430389 | 1 0.18 70.02 430390 | 1 0.18 70.20 430391 | 1 0.18 70.38 430392 | 1 0.18 70.57 430393 | 1 0.18 70.75 430394 | 1 0.18 70.93 430395 | 1 0.18 71.12 430396 | 1 0.18 71.30 430397 | 1 0.18 71.48 430398 | 1 0.18 71.66 430399 | 1 0.18 71.85 430400 | 1 0.18 72.03 430401 | 1 0.18 72.21 430402 | 1 0.18 72.39 430403 | 1 0.18 72.58 430404 | 1 0.18 72.76 430405 | 1 0.18 72.94 430406 | 1 0.18 73.13 430407 | 1 0.18 73.31 430408 | 1 0.18 73.49 430409 | 1 0.18 73.67 430410 | 1 0.18 73.86 430411 | 1 0.18 74.04 430412 | 1 0.18 74.22 430413 | 1 0.18 74.41 430414 | 1 0.18 74.59 430415 | 1 0.18 74.77 430416 | 1 0.18 74.95 430417 | 1 0.18 75.14 430418 | 1 0.18 75.32 430419 | 1 0.18 75.50 430420 | 1 0.18 75.69 430421 | 1 0.18 75.87 430422 | 1 0.18 76.05 430423 | 1 0.18 76.23 430424 | 1 0.18 76.42 430425 | 1 0.18 76.60 430426 | 1 0.18 76.78 430427 | 1 0.18 76.97 430428 | 1 0.18 77.15 430429 | 1 0.18 77.33 430430 | 1 0.18 77.51 430431 | 1 0.18 77.70 430432 | 1 0.18 77.88 430433 | 1 0.18 78.06 430434 | 1 0.18 78.24 430435 | 1 0.18 78.43 430436 | 1 0.18 78.61 430437 | 1 0.18 78.79 430438 | 1 0.18 78.98 430439 | 1 0.18 79.16 430440 | 1 0.18 79.34 430441 | 1 0.18 79.52 430442 | 1 0.18 79.71 430443 | 1 0.18 79.89 430444 | 1 0.18 80.07 430445 | 1 0.18 80.26 430446 | 1 0.18 80.44 430447 | 1 0.18 80.62 430448 | 1 0.18 80.80 430449 | 1 0.18 80.99 430450 | 1 0.18 81.17 430451 | 1 0.18 81.35 430452 | 1 0.18 81.54 430453 | 1 0.18 81.72 430454 | 1 0.18 81.90 430455 | 1 0.18 82.08 430456 | 1 0.18 82.27 430457 | 1 0.18 82.45 430458 | 1 0.18 82.63 430459 | 1 0.18 82.82 430460 | 1 0.18 83.00 430461 | 1 0.18 83.18 430462 | 1 0.18 83.36 430463 | 1 0.18 83.55 430464 | 1 0.18 83.73 430465 | 1 0.18 83.91 430466 | 1 0.18 84.10 430467 | 1 0.18 84.28 430468 | 1 0.18 84.46 430469 | 1 0.18 84.64 430470 | 1 0.18 84.83 430471 | 1 0.18 85.01 430472 | 1 0.18 85.19 430473 | 1 0.18 85.37 430474 | 1 0.18 85.56 430475 | 1 0.18 85.74 430476 | 1 0.18 85.92 430477 | 1 0.18 86.11 430478 | 1 0.18 86.29 430479 | 1 0.18 86.47 430480 | 1 0.18 86.65 430481 | 1 0.18 86.84 430482 | 1 0.18 87.02 430483 | 1 0.18 87.20 430484 | 1 0.18 87.39 430485 | 1 0.18 87.57 430486 | 1 0.18 87.75 430487 | 1 0.18 87.93 430488 | 1 0.18 88.12 430489 | 1 0.18 88.30 430490 | 1 0.18 88.48 430491 | 1 0.18 88.67 430492 | 1 0.18 88.85 430493 | 1 0.18 89.03 430494 | 1 0.18 89.21 430495 | 1 0.18 89.40 430496 | 1 0.18 89.58 430497 | 1 0.18 89.76 430498 | 1 0.18 89.95 430499 | 1 0.18 90.13 430500 | 1 0.18 90.31 430501 | 1 0.18 90.49 430502 | 1 0.18 90.68 430503 | 1 0.18 90.86 430504 | 1 0.18 91.04 430505 | 1 0.18 91.22 430506 | 1 0.18 91.41 430507 | 1 0.18 91.59 430508 | 1 0.18 91.77 430509 | 1 0.18 91.96 430510 | 1 0.18 92.14 430511 | 1 0.18 92.32 430512 | 1 0.18 92.50 430513 | 1 0.18 92.69 430514 | 1 0.18 92.87 430515 | 1 0.18 93.05 430516 | 1 0.18 93.24 430517 | 1 0.18 93.42 430518 | 1 0.18 93.60 430519 | 1 0.18 93.78 430520 | 1 0.18 93.97 430521 | 1 0.18 94.15 430522 | 1 0.18 94.33 430523 | 1 0.18 94.52 430524 | 1 0.18 94.70 430525 | 1 0.18 94.88 430526 | 1 0.18 95.06 430527 | 1 0.18 95.25 430528 | 1 0.18 95.43 430529 | 1 0.18 95.61 430530 | 1 0.18 95.80 430531 | 1 0.18 95.98 430532 | 1 0.18 96.16 430533 | 1 0.18 96.34 430534 | 1 0.18 96.53 430535 | 1 0.18 96.71 430536 | 1 0.18 96.89 430537 | 1 0.18 97.07 430538 | 1 0.18 97.26 430539 | 1 0.18 97.44 430540 | 1 0.18 97.62 430541 | 1 0.18 97.81 430542 | 1 0.18 97.99 430543 | 1 0.18 98.17 430544 | 1 0.18 98.35 430545 | 1 0.18 98.54 430546 | 1 0.18 98.72 430547 | 1 0.18 98.90 430548 | 1 0.18 99.09 430549 | 1 0.18 99.27 430550 | 1 0.18 99.45 430551 | 1 0.18 99.63 430552 | 1 0.18 99.82 430553 | 1 0.18 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 547 100.00 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 547 100.00 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 206 37.66 37.66 2 | 341 62.34 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 118 21.57 21.57 2 | 429 78.43 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 379 69.29 69.29 2 | 15 2.74 72.03 3 | 11 2.01 74.04 4 | 142 25.96 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 38 6.95 6.95 2 | 509 93.05 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 118 21.57 21.57 2 | 9 1.65 23.22 3 | 109 19.93 43.14 4 | 109 19.93 63.07 5 | 117 21.39 84.46 6 | 85 15.54 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 38 6.95 6.95 2 | 509 93.05 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 361 66.00 66.00 2 | 38 6.95 72.94 3 | 64 11.70 84.64 4 | 69 12.61 97.26 5 | 15 2.74 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 547 100.00 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 188 34.37 34.37 2 | 359 65.63 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 275 50.27 50.27 2 | 272 49.73 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 48 8.78 8.78 2 | 499 91.22 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 346 63.25 63.25 2 | 176 32.18 95.43 3 | 25 4.57 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 45 8.23 8.23 2 | 502 91.77 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 26 4.75 4.75 2 | 521 95.25 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 263 48.08 48.08 2 | 284 51.92 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 196 35.83 35.83 2 | 351 64.17 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 17 3.11 3.11 2 | 530 96.89 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 45 8.23 8.23 2 | 502 91.77 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 547 100.00 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 162 29.62 29.62 2 | 189 34.55 64.17 3 | 196 35.83 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 71 12.98 12.98 2 | 476 87.02 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 71 12.98 12.98 2 | 476 87.02 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 105 19.20 19.20 2 | 442 80.80 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 105 19.20 19.20 2 | 442 80.80 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 48 8.78 8.78 2 | 499 91.22 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 105 19.20 19.20 2 | 442 80.80 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 204 37.29 37.29 2 | 343 62.71 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.18 0.18 2 | 546 99.82 100.00 ------------+----------------------------------- Total | 547 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 6 1.10 1.10 2 | 541 98.90 100.00 ------------+----------------------------------- Total | 547 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016