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. ------------+----------------------------------- 1994 | 545 100.00 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 545 100.00 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 545 100.00 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 506 92.84 92.84 2 | 31 5.69 98.53 3 | 3 0.55 99.08 4 | 4 0.73 99.82 5 | 1 0.18 100.00 ------------+----------------------------------- Total | 545 100.00 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 0.92 430006 | 1 0.18 1.10 430007 | 1 0.18 1.28 430008 | 1 0.18 1.47 430009 | 1 0.18 1.65 430010 | 1 0.18 1.83 430011 | 1 0.18 2.02 430012 | 1 0.18 2.20 430013 | 1 0.18 2.39 430014 | 1 0.18 2.57 430015 | 1 0.18 2.75 430016 | 1 0.18 2.94 430017 | 1 0.18 3.12 430018 | 1 0.18 3.30 430019 | 1 0.18 3.49 430020 | 1 0.18 3.67 430021 | 1 0.18 3.85 430022 | 1 0.18 4.04 430023 | 1 0.18 4.22 430024 | 1 0.18 4.40 430025 | 1 0.18 4.59 430026 | 1 0.18 4.77 430027 | 1 0.18 4.95 430028 | 1 0.18 5.14 430029 | 1 0.18 5.32 430030 | 1 0.18 5.50 430031 | 1 0.18 5.69 430032 | 1 0.18 5.87 430033 | 1 0.18 6.06 430034 | 1 0.18 6.24 430035 | 1 0.18 6.42 430036 | 1 0.18 6.61 430037 | 1 0.18 6.79 430038 | 1 0.18 6.97 430039 | 1 0.18 7.16 430040 | 1 0.18 7.34 430041 | 1 0.18 7.52 430042 | 1 0.18 7.71 430043 | 1 0.18 7.89 430044 | 1 0.18 8.07 430045 | 1 0.18 8.26 430046 | 1 0.18 8.44 430047 | 1 0.18 8.62 430049 | 1 0.18 8.81 430050 | 1 0.18 8.99 430051 | 1 0.18 9.17 430052 | 1 0.18 9.36 430053 | 1 0.18 9.54 430054 | 1 0.18 9.72 430055 | 1 0.18 9.91 430056 | 1 0.18 10.09 430057 | 1 0.18 10.28 430058 | 1 0.18 10.46 430059 | 1 0.18 10.64 430060 | 1 0.18 10.83 430061 | 1 0.18 11.01 430062 | 1 0.18 11.19 430063 | 1 0.18 11.38 430064 | 1 0.18 11.56 430065 | 1 0.18 11.74 430066 | 1 0.18 11.93 430067 | 1 0.18 12.11 430068 | 1 0.18 12.29 430069 | 1 0.18 12.48 430070 | 1 0.18 12.66 430071 | 1 0.18 12.84 430072 | 1 0.18 13.03 430073 | 1 0.18 13.21 430074 | 1 0.18 13.39 430075 | 1 0.18 13.58 430076 | 1 0.18 13.76 430077 | 1 0.18 13.94 430078 | 1 0.18 14.13 430079 | 1 0.18 14.31 430080 | 1 0.18 14.50 430081 | 1 0.18 14.68 430082 | 1 0.18 14.86 430083 | 1 0.18 15.05 430084 | 1 0.18 15.23 430085 | 1 0.18 15.41 430086 | 1 0.18 15.60 430087 | 1 0.18 15.78 430088 | 1 0.18 15.96 430089 | 1 0.18 16.15 430090 | 1 0.18 16.33 430091 | 1 0.18 16.51 430092 | 1 0.18 16.70 430093 | 1 0.18 16.88 430094 | 1 0.18 17.06 430095 | 1 0.18 17.25 430097 | 1 0.18 17.43 430098 | 1 0.18 17.61 430099 | 1 0.18 17.80 430100 | 1 0.18 17.98 430101 | 1 0.18 18.17 430102 | 1 0.18 18.35 430103 | 1 0.18 18.53 430104 | 1 0.18 18.72 430105 | 1 0.18 18.90 430106 | 1 0.18 19.08 430107 | 1 0.18 19.27 430108 | 1 0.18 19.45 430109 | 1 0.18 19.63 430110 | 1 0.18 19.82 430111 | 1 0.18 20.00 430112 | 1 0.18 20.18 430113 | 1 0.18 20.37 430114 | 1 0.18 20.55 430115 | 1 0.18 20.73 430116 | 1 0.18 20.92 430117 | 1 0.18 21.10 430118 | 1 0.18 21.28 430119 | 1 0.18 21.47 430120 | 1 0.18 21.65 430121 | 1 0.18 21.83 430122 | 1 0.18 22.02 430123 | 1 0.18 22.20 430124 | 1 0.18 22.39 430125 | 1 0.18 22.57 430126 | 1 0.18 22.75 430127 | 1 0.18 22.94 430128 | 1 0.18 23.12 430129 | 1 0.18 23.30 430130 | 1 0.18 23.49 430131 | 1 0.18 23.67 430132 | 1 0.18 23.85 430133 | 1 0.18 24.04 430134 | 1 0.18 24.22 430135 | 1 0.18 24.40 430136 | 1 0.18 24.59 430137 | 1 0.18 24.77 430138 | 1 0.18 24.95 430139 | 1 0.18 25.14 430140 | 1 0.18 25.32 430141 | 1 0.18 25.50 430142 | 1 0.18 25.69 430143 | 1 0.18 25.87 430144 | 1 0.18 26.06 430145 | 1 0.18 26.24 430146 | 1 0.18 26.42 430147 | 1 0.18 26.61 430148 | 1 0.18 26.79 430149 | 1 0.18 26.97 430150 | 1 0.18 27.16 430151 | 1 0.18 27.34 430152 | 1 0.18 27.52 430153 | 1 0.18 27.71 430154 | 1 0.18 27.89 430155 | 1 0.18 28.07 430156 | 1 0.18 28.26 430157 | 1 0.18 28.44 430158 | 1 0.18 28.62 430159 | 1 0.18 28.81 430160 | 1 0.18 28.99 430161 | 1 0.18 29.17 430162 | 1 0.18 29.36 430163 | 1 0.18 29.54 430164 | 1 0.18 29.72 430165 | 1 0.18 29.91 430166 | 1 0.18 30.09 430167 | 1 0.18 30.28 430168 | 1 0.18 30.46 430169 | 1 0.18 30.64 430170 | 1 0.18 30.83 430171 | 1 0.18 31.01 430172 | 1 0.18 31.19 430173 | 1 0.18 31.38 430174 | 1 0.18 31.56 430175 | 1 0.18 31.74 430176 | 1 0.18 31.93 430177 | 1 0.18 32.11 430178 | 1 0.18 32.29 430179 | 1 0.18 32.48 430180 | 1 0.18 32.66 430181 | 1 0.18 32.84 430182 | 1 0.18 33.03 430183 | 1 0.18 33.21 430184 | 1 0.18 33.39 430185 | 1 0.18 33.58 430186 | 1 0.18 33.76 430187 | 1 0.18 33.94 430188 | 1 0.18 34.13 430189 | 1 0.18 34.31 430190 | 1 0.18 34.50 430191 | 1 0.18 34.68 430192 | 1 0.18 34.86 430193 | 1 0.18 35.05 430194 | 1 0.18 35.23 430195 | 1 0.18 35.41 430196 | 1 0.18 35.60 430197 | 1 0.18 35.78 430198 | 1 0.18 35.96 430199 | 1 0.18 36.15 430200 | 1 0.18 36.33 430201 | 1 0.18 36.51 430202 | 1 0.18 36.70 430203 | 1 0.18 36.88 430204 | 1 0.18 37.06 430205 | 1 0.18 37.25 430206 | 1 0.18 37.43 430207 | 1 0.18 37.61 430208 | 1 0.18 37.80 430209 | 1 0.18 37.98 430210 | 1 0.18 38.17 430211 | 1 0.18 38.35 430212 | 1 0.18 38.53 430213 | 1 0.18 38.72 430214 | 1 0.18 38.90 430215 | 1 0.18 39.08 430216 | 1 0.18 39.27 430217 | 1 0.18 39.45 430218 | 1 0.18 39.63 430219 | 1 0.18 39.82 430220 | 1 0.18 40.00 430221 | 1 0.18 40.18 430222 | 1 0.18 40.37 430223 | 1 0.18 40.55 430224 | 1 0.18 40.73 430225 | 1 0.18 40.92 430227 | 1 0.18 41.10 430228 | 1 0.18 41.28 430229 | 1 0.18 41.47 430230 | 1 0.18 41.65 430231 | 1 0.18 41.83 430232 | 1 0.18 42.02 430233 | 1 0.18 42.20 430234 | 1 0.18 42.39 430235 | 1 0.18 42.57 430236 | 1 0.18 42.75 430237 | 1 0.18 42.94 430238 | 1 0.18 43.12 430239 | 1 0.18 43.30 430240 | 1 0.18 43.49 430242 | 1 0.18 43.67 430243 | 1 0.18 43.85 430244 | 1 0.18 44.04 430245 | 1 0.18 44.22 430246 | 1 0.18 44.40 430247 | 1 0.18 44.59 430248 | 1 0.18 44.77 430249 | 1 0.18 44.95 430250 | 1 0.18 45.14 430251 | 1 0.18 45.32 430252 | 1 0.18 45.50 430253 | 1 0.18 45.69 430254 | 1 0.18 45.87 430255 | 1 0.18 46.06 430256 | 1 0.18 46.24 430257 | 1 0.18 46.42 430258 | 1 0.18 46.61 430259 | 1 0.18 46.79 430260 | 1 0.18 46.97 430261 | 1 0.18 47.16 430262 | 1 0.18 47.34 430263 | 1 0.18 47.52 430264 | 1 0.18 47.71 430265 | 1 0.18 47.89 430266 | 1 0.18 48.07 430267 | 1 0.18 48.26 430268 | 1 0.18 48.44 430269 | 1 0.18 48.62 430270 | 1 0.18 48.81 430271 | 1 0.18 48.99 430272 | 1 0.18 49.17 430273 | 1 0.18 49.36 430274 | 1 0.18 49.54 430275 | 1 0.18 49.72 430276 | 1 0.18 49.91 430277 | 1 0.18 50.09 430278 | 1 0.18 50.28 430279 | 1 0.18 50.46 430280 | 1 0.18 50.64 430281 | 1 0.18 50.83 430282 | 1 0.18 51.01 430283 | 1 0.18 51.19 430284 | 1 0.18 51.38 430285 | 1 0.18 51.56 430286 | 1 0.18 51.74 430287 | 1 0.18 51.93 430288 | 1 0.18 52.11 430289 | 1 0.18 52.29 430290 | 1 0.18 52.48 430291 | 1 0.18 52.66 430292 | 1 0.18 52.84 430293 | 1 0.18 53.03 430294 | 1 0.18 53.21 430295 | 1 0.18 53.39 430296 | 1 0.18 53.58 430297 | 1 0.18 53.76 430298 | 1 0.18 53.94 430299 | 1 0.18 54.13 430300 | 1 0.18 54.31 430301 | 1 0.18 54.50 430302 | 1 0.18 54.68 430303 | 1 0.18 54.86 430304 | 1 0.18 55.05 430305 | 1 0.18 55.23 430306 | 1 0.18 55.41 430307 | 1 0.18 55.60 430308 | 1 0.18 55.78 430309 | 1 0.18 55.96 430310 | 1 0.18 56.15 430311 | 1 0.18 56.33 430312 | 1 0.18 56.51 430313 | 1 0.18 56.70 430314 | 1 0.18 56.88 430315 | 1 0.18 57.06 430316 | 1 0.18 57.25 430317 | 1 0.18 57.43 430318 | 1 0.18 57.61 430319 | 1 0.18 57.80 430320 | 1 0.18 57.98 430321 | 1 0.18 58.17 430322 | 1 0.18 58.35 430323 | 1 0.18 58.53 430324 | 1 0.18 58.72 430325 | 1 0.18 58.90 430326 | 1 0.18 59.08 430327 | 1 0.18 59.27 430328 | 1 0.18 59.45 430329 | 1 0.18 59.63 430330 | 1 0.18 59.82 430331 | 1 0.18 60.00 430333 | 1 0.18 60.18 430334 | 1 0.18 60.37 430335 | 1 0.18 60.55 430336 | 1 0.18 60.73 430337 | 1 0.18 60.92 430338 | 1 0.18 61.10 430339 | 1 0.18 61.28 430340 | 1 0.18 61.47 430341 | 1 0.18 61.65 430342 | 1 0.18 61.83 430343 | 1 0.18 62.02 430344 | 1 0.18 62.20 430345 | 1 0.18 62.39 430346 | 1 0.18 62.57 430347 | 1 0.18 62.75 430348 | 1 0.18 62.94 430349 | 1 0.18 63.12 430350 | 1 0.18 63.30 430351 | 1 0.18 63.49 430352 | 1 0.18 63.67 430353 | 1 0.18 63.85 430354 | 1 0.18 64.04 430355 | 1 0.18 64.22 430356 | 1 0.18 64.40 430357 | 1 0.18 64.59 430358 | 1 0.18 64.77 430359 | 1 0.18 64.95 430360 | 1 0.18 65.14 430361 | 1 0.18 65.32 430362 | 1 0.18 65.50 430363 | 1 0.18 65.69 430364 | 1 0.18 65.87 430365 | 1 0.18 66.06 430366 | 1 0.18 66.24 430367 | 1 0.18 66.42 430368 | 1 0.18 66.61 430369 | 1 0.18 66.79 430370 | 1 0.18 66.97 430371 | 1 0.18 67.16 430372 | 1 0.18 67.34 430373 | 1 0.18 67.52 430374 | 1 0.18 67.71 430375 | 1 0.18 67.89 430376 | 1 0.18 68.07 430377 | 1 0.18 68.26 430378 | 1 0.18 68.44 430379 | 1 0.18 68.62 430380 | 1 0.18 68.81 430381 | 1 0.18 68.99 430382 | 1 0.18 69.17 430383 | 1 0.18 69.36 430384 | 1 0.18 69.54 430385 | 1 0.18 69.72 430386 | 1 0.18 69.91 430387 | 1 0.18 70.09 430388 | 1 0.18 70.28 430389 | 1 0.18 70.46 430390 | 1 0.18 70.64 430391 | 1 0.18 70.83 430392 | 1 0.18 71.01 430393 | 1 0.18 71.19 430394 | 1 0.18 71.38 430395 | 1 0.18 71.56 430396 | 1 0.18 71.74 430397 | 1 0.18 71.93 430398 | 1 0.18 72.11 430399 | 1 0.18 72.29 430400 | 1 0.18 72.48 430401 | 1 0.18 72.66 430402 | 1 0.18 72.84 430403 | 1 0.18 73.03 430404 | 1 0.18 73.21 430405 | 1 0.18 73.39 430406 | 1 0.18 73.58 430407 | 1 0.18 73.76 430408 | 1 0.18 73.94 430409 | 1 0.18 74.13 430410 | 1 0.18 74.31 430411 | 1 0.18 74.50 430412 | 1 0.18 74.68 430413 | 1 0.18 74.86 430414 | 1 0.18 75.05 430415 | 1 0.18 75.23 430416 | 1 0.18 75.41 430417 | 1 0.18 75.60 430418 | 1 0.18 75.78 430419 | 1 0.18 75.96 430420 | 1 0.18 76.15 430421 | 1 0.18 76.33 430422 | 1 0.18 76.51 430423 | 1 0.18 76.70 430424 | 1 0.18 76.88 430425 | 1 0.18 77.06 430426 | 1 0.18 77.25 430427 | 1 0.18 77.43 430428 | 1 0.18 77.61 430429 | 1 0.18 77.80 430430 | 1 0.18 77.98 430431 | 1 0.18 78.17 430432 | 1 0.18 78.35 430433 | 1 0.18 78.53 430434 | 1 0.18 78.72 430435 | 1 0.18 78.90 430436 | 1 0.18 79.08 430437 | 1 0.18 79.27 430438 | 1 0.18 79.45 430439 | 1 0.18 79.63 430440 | 1 0.18 79.82 430441 | 1 0.18 80.00 430442 | 1 0.18 80.18 430443 | 1 0.18 80.37 430444 | 1 0.18 80.55 430445 | 1 0.18 80.73 430446 | 1 0.18 80.92 430447 | 1 0.18 81.10 430448 | 1 0.18 81.28 430449 | 1 0.18 81.47 430450 | 1 0.18 81.65 430451 | 1 0.18 81.83 430452 | 1 0.18 82.02 430453 | 1 0.18 82.20 430454 | 1 0.18 82.39 430455 | 1 0.18 82.57 430456 | 1 0.18 82.75 430457 | 1 0.18 82.94 430458 | 1 0.18 83.12 430459 | 1 0.18 83.30 430460 | 1 0.18 83.49 430461 | 1 0.18 83.67 430462 | 1 0.18 83.85 430463 | 1 0.18 84.04 430464 | 1 0.18 84.22 430465 | 1 0.18 84.40 430466 | 1 0.18 84.59 430467 | 1 0.18 84.77 430468 | 1 0.18 84.95 430469 | 1 0.18 85.14 430470 | 1 0.18 85.32 430471 | 1 0.18 85.50 430472 | 1 0.18 85.69 430473 | 1 0.18 85.87 430474 | 1 0.18 86.06 430475 | 1 0.18 86.24 430476 | 1 0.18 86.42 430477 | 1 0.18 86.61 430478 | 1 0.18 86.79 430479 | 1 0.18 86.97 430480 | 1 0.18 87.16 430481 | 1 0.18 87.34 430482 | 1 0.18 87.52 430483 | 1 0.18 87.71 430484 | 1 0.18 87.89 430485 | 1 0.18 88.07 430486 | 1 0.18 88.26 430487 | 1 0.18 88.44 430488 | 1 0.18 88.62 430489 | 1 0.18 88.81 430490 | 1 0.18 88.99 430491 | 1 0.18 89.17 430492 | 1 0.18 89.36 430493 | 1 0.18 89.54 430494 | 1 0.18 89.72 430495 | 1 0.18 89.91 430496 | 1 0.18 90.09 430497 | 1 0.18 90.28 430498 | 1 0.18 90.46 430499 | 1 0.18 90.64 430500 | 1 0.18 90.83 430501 | 1 0.18 91.01 430502 | 1 0.18 91.19 430503 | 1 0.18 91.38 430504 | 1 0.18 91.56 430505 | 1 0.18 91.74 430506 | 1 0.18 91.93 430507 | 1 0.18 92.11 430508 | 1 0.18 92.29 430509 | 1 0.18 92.48 430510 | 1 0.18 92.66 430511 | 1 0.18 92.84 430512 | 1 0.18 93.03 430513 | 1 0.18 93.21 430514 | 1 0.18 93.39 430515 | 1 0.18 93.58 430516 | 1 0.18 93.76 430517 | 1 0.18 93.94 430518 | 1 0.18 94.13 430519 | 1 0.18 94.31 430520 | 1 0.18 94.50 430521 | 1 0.18 94.68 430522 | 1 0.18 94.86 430523 | 1 0.18 95.05 430524 | 1 0.18 95.23 430525 | 1 0.18 95.41 430526 | 1 0.18 95.60 430527 | 1 0.18 95.78 430528 | 1 0.18 95.96 430529 | 1 0.18 96.15 430530 | 1 0.18 96.33 430531 | 1 0.18 96.51 430532 | 1 0.18 96.70 430533 | 1 0.18 96.88 430534 | 1 0.18 97.06 430535 | 1 0.18 97.25 430536 | 1 0.18 97.43 430537 | 1 0.18 97.61 430538 | 1 0.18 97.80 430539 | 1 0.18 97.98 430540 | 1 0.18 98.17 430541 | 1 0.18 98.35 430542 | 1 0.18 98.53 430543 | 1 0.18 98.72 430544 | 1 0.18 98.90 430545 | 1 0.18 99.08 430546 | 1 0.18 99.27 430547 | 1 0.18 99.45 430548 | 1 0.18 99.63 430549 | 1 0.18 99.82 430550 | 1 0.18 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 545 100.00 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 545 100.00 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 206 37.80 37.80 2 | 339 62.20 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 121 22.20 22.20 2 | 424 77.80 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 368 67.52 67.52 2 | 16 2.94 70.46 3 | 1 0.18 70.64 4 | 160 29.36 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 28 5.14 5.14 2 | 517 94.86 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 121 22.20 22.20 2 | 33 6.06 28.26 3 | 100 18.35 46.61 4 | 104 19.08 65.69 5 | 113 20.73 86.42 6 | 74 13.58 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 28 5.14 5.14 2 | 517 94.86 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 376 68.99 68.99 2 | 23 4.22 73.21 3 | 63 11.56 84.77 4 | 76 13.94 98.72 5 | 7 1.28 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 545 100.00 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 205 37.61 37.61 2 | 340 62.39 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 293 53.76 53.76 2 | 252 46.24 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 48 8.81 8.81 2 | 497 91.19 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 365 66.97 66.97 2 | 139 25.50 92.48 3 | 41 7.52 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 39 7.16 7.16 2 | 506 92.84 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 34 6.24 6.24 2 | 511 93.76 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 255 46.79 46.79 2 | 290 53.21 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 202 37.06 37.06 2 | 343 62.94 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 18 3.30 3.30 2 | 527 96.70 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 6.61 6.61 2 | 509 93.39 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 545 100.00 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 149 27.34 27.34 2 | 190 34.86 62.20 3 | 206 37.80 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 72 13.21 13.21 2 | 473 86.79 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 72 13.21 13.21 2 | 473 86.79 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 97 17.80 17.80 2 | 448 82.20 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 97 17.80 17.80 2 | 448 82.20 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 40 7.34 7.34 2 | 505 92.66 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 112 20.55 20.55 2 | 433 79.45 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 203 37.25 37.25 2 | 342 62.75 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.18 0.18 2 | 544 99.82 100.00 ------------+----------------------------------- Total | 545 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 4 0.73 0.73 2 | 541 99.27 100.00 ------------+----------------------------------- Total | 545 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016