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. ------------+----------------------------------- 1993 | 553 100.00 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 553 100.00 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 553 100.00 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 515 93.13 93.13 2 | 30 5.42 98.55 3 | 7 1.27 99.82 4 | 1 0.18 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for st_case variable in acc_aux dataset : st_case | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.18 0.18 430002 | 1 0.18 0.36 430003 | 1 0.18 0.54 430004 | 1 0.18 0.72 430005 | 1 0.18 0.90 430006 | 1 0.18 1.08 430007 | 1 0.18 1.27 430008 | 1 0.18 1.45 430009 | 1 0.18 1.63 430010 | 1 0.18 1.81 430011 | 1 0.18 1.99 430012 | 1 0.18 2.17 430013 | 1 0.18 2.35 430014 | 1 0.18 2.53 430015 | 1 0.18 2.71 430016 | 1 0.18 2.89 430017 | 1 0.18 3.07 430018 | 1 0.18 3.25 430019 | 1 0.18 3.44 430020 | 1 0.18 3.62 430021 | 1 0.18 3.80 430022 | 1 0.18 3.98 430023 | 1 0.18 4.16 430024 | 1 0.18 4.34 430025 | 1 0.18 4.52 430026 | 1 0.18 4.70 430027 | 1 0.18 4.88 430028 | 1 0.18 5.06 430029 | 1 0.18 5.24 430030 | 1 0.18 5.42 430031 | 1 0.18 5.61 430032 | 1 0.18 5.79 430033 | 1 0.18 5.97 430034 | 1 0.18 6.15 430035 | 1 0.18 6.33 430036 | 1 0.18 6.51 430037 | 1 0.18 6.69 430038 | 1 0.18 6.87 430039 | 1 0.18 7.05 430040 | 1 0.18 7.23 430041 | 1 0.18 7.41 430042 | 1 0.18 7.59 430043 | 1 0.18 7.78 430044 | 1 0.18 7.96 430045 | 1 0.18 8.14 430046 | 1 0.18 8.32 430047 | 1 0.18 8.50 430048 | 1 0.18 8.68 430049 | 1 0.18 8.86 430050 | 1 0.18 9.04 430051 | 1 0.18 9.22 430052 | 1 0.18 9.40 430053 | 1 0.18 9.58 430054 | 1 0.18 9.76 430055 | 1 0.18 9.95 430056 | 1 0.18 10.13 430057 | 1 0.18 10.31 430058 | 1 0.18 10.49 430059 | 1 0.18 10.67 430060 | 1 0.18 10.85 430061 | 1 0.18 11.03 430062 | 1 0.18 11.21 430063 | 1 0.18 11.39 430064 | 1 0.18 11.57 430065 | 1 0.18 11.75 430066 | 1 0.18 11.93 430067 | 1 0.18 12.12 430068 | 1 0.18 12.30 430069 | 1 0.18 12.48 430070 | 1 0.18 12.66 430071 | 1 0.18 12.84 430072 | 1 0.18 13.02 430073 | 1 0.18 13.20 430074 | 1 0.18 13.38 430075 | 1 0.18 13.56 430076 | 1 0.18 13.74 430077 | 1 0.18 13.92 430078 | 1 0.18 14.10 430079 | 1 0.18 14.29 430080 | 1 0.18 14.47 430081 | 1 0.18 14.65 430082 | 1 0.18 14.83 430083 | 1 0.18 15.01 430084 | 1 0.18 15.19 430085 | 1 0.18 15.37 430086 | 1 0.18 15.55 430087 | 1 0.18 15.73 430088 | 1 0.18 15.91 430089 | 1 0.18 16.09 430091 | 1 0.18 16.27 430092 | 1 0.18 16.46 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 17.36 430098 | 1 0.18 17.54 430099 | 1 0.18 17.72 430100 | 1 0.18 17.90 430101 | 1 0.18 18.08 430102 | 1 0.18 18.26 430103 | 1 0.18 18.44 430104 | 1 0.18 18.63 430105 | 1 0.18 18.81 430106 | 1 0.18 18.99 430107 | 1 0.18 19.17 430108 | 1 0.18 19.35 430109 | 1 0.18 19.53 430110 | 1 0.18 19.71 430111 | 1 0.18 19.89 430112 | 1 0.18 20.07 430113 | 1 0.18 20.25 430114 | 1 0.18 20.43 430115 | 1 0.18 20.61 430116 | 1 0.18 20.80 430117 | 1 0.18 20.98 430118 | 1 0.18 21.16 430119 | 1 0.18 21.34 430120 | 1 0.18 21.52 430121 | 1 0.18 21.70 430122 | 1 0.18 21.88 430123 | 1 0.18 22.06 430124 | 1 0.18 22.24 430125 | 1 0.18 22.42 430126 | 1 0.18 22.60 430127 | 1 0.18 22.78 430128 | 1 0.18 22.97 430129 | 1 0.18 23.15 430130 | 1 0.18 23.33 430131 | 1 0.18 23.51 430132 | 1 0.18 23.69 430133 | 1 0.18 23.87 430134 | 1 0.18 24.05 430135 | 1 0.18 24.23 430136 | 1 0.18 24.41 430137 | 1 0.18 24.59 430138 | 1 0.18 24.77 430139 | 1 0.18 24.95 430140 | 1 0.18 25.14 430141 | 1 0.18 25.32 430142 | 1 0.18 25.50 430144 | 1 0.18 25.68 430145 | 1 0.18 25.86 430146 | 1 0.18 26.04 430147 | 1 0.18 26.22 430148 | 1 0.18 26.40 430149 | 1 0.18 26.58 430150 | 1 0.18 26.76 430151 | 1 0.18 26.94 430152 | 1 0.18 27.12 430153 | 1 0.18 27.31 430154 | 1 0.18 27.49 430155 | 1 0.18 27.67 430156 | 1 0.18 27.85 430157 | 1 0.18 28.03 430158 | 1 0.18 28.21 430159 | 1 0.18 28.39 430160 | 1 0.18 28.57 430161 | 1 0.18 28.75 430162 | 1 0.18 28.93 430163 | 1 0.18 29.11 430164 | 1 0.18 29.29 430165 | 1 0.18 29.48 430166 | 1 0.18 29.66 430167 | 1 0.18 29.84 430168 | 1 0.18 30.02 430169 | 1 0.18 30.20 430170 | 1 0.18 30.38 430171 | 1 0.18 30.56 430172 | 1 0.18 30.74 430173 | 1 0.18 30.92 430174 | 1 0.18 31.10 430175 | 1 0.18 31.28 430176 | 1 0.18 31.46 430177 | 1 0.18 31.65 430178 | 1 0.18 31.83 430179 | 1 0.18 32.01 430180 | 1 0.18 32.19 430181 | 1 0.18 32.37 430182 | 1 0.18 32.55 430183 | 1 0.18 32.73 430184 | 1 0.18 32.91 430185 | 1 0.18 33.09 430186 | 1 0.18 33.27 430187 | 1 0.18 33.45 430188 | 1 0.18 33.63 430189 | 1 0.18 33.82 430190 | 1 0.18 34.00 430191 | 1 0.18 34.18 430192 | 1 0.18 34.36 430193 | 1 0.18 34.54 430194 | 1 0.18 34.72 430195 | 1 0.18 34.90 430196 | 1 0.18 35.08 430197 | 1 0.18 35.26 430198 | 1 0.18 35.44 430199 | 1 0.18 35.62 430200 | 1 0.18 35.80 430201 | 1 0.18 35.99 430202 | 1 0.18 36.17 430203 | 1 0.18 36.35 430204 | 1 0.18 36.53 430205 | 1 0.18 36.71 430206 | 1 0.18 36.89 430207 | 1 0.18 37.07 430208 | 1 0.18 37.25 430209 | 1 0.18 37.43 430210 | 1 0.18 37.61 430211 | 1 0.18 37.79 430212 | 1 0.18 37.97 430213 | 1 0.18 38.16 430214 | 1 0.18 38.34 430215 | 1 0.18 38.52 430216 | 1 0.18 38.70 430217 | 1 0.18 38.88 430218 | 1 0.18 39.06 430219 | 1 0.18 39.24 430220 | 1 0.18 39.42 430221 | 1 0.18 39.60 430222 | 1 0.18 39.78 430223 | 1 0.18 39.96 430224 | 1 0.18 40.14 430225 | 1 0.18 40.33 430226 | 1 0.18 40.51 430227 | 1 0.18 40.69 430228 | 1 0.18 40.87 430229 | 1 0.18 41.05 430230 | 1 0.18 41.23 430231 | 1 0.18 41.41 430232 | 1 0.18 41.59 430233 | 1 0.18 41.77 430234 | 1 0.18 41.95 430235 | 1 0.18 42.13 430236 | 1 0.18 42.31 430237 | 1 0.18 42.50 430238 | 1 0.18 42.68 430239 | 1 0.18 42.86 430240 | 1 0.18 43.04 430241 | 1 0.18 43.22 430242 | 1 0.18 43.40 430243 | 1 0.18 43.58 430244 | 1 0.18 43.76 430245 | 1 0.18 43.94 430246 | 1 0.18 44.12 430247 | 1 0.18 44.30 430248 | 1 0.18 44.48 430249 | 1 0.18 44.67 430250 | 1 0.18 44.85 430251 | 1 0.18 45.03 430252 | 1 0.18 45.21 430253 | 1 0.18 45.39 430254 | 1 0.18 45.57 430255 | 1 0.18 45.75 430256 | 1 0.18 45.93 430257 | 1 0.18 46.11 430258 | 1 0.18 46.29 430259 | 1 0.18 46.47 430260 | 1 0.18 46.65 430261 | 1 0.18 46.84 430262 | 1 0.18 47.02 430263 | 1 0.18 47.20 430264 | 1 0.18 47.38 430265 | 1 0.18 47.56 430267 | 1 0.18 47.74 430268 | 1 0.18 47.92 430269 | 1 0.18 48.10 430270 | 1 0.18 48.28 430271 | 1 0.18 48.46 430272 | 1 0.18 48.64 430273 | 1 0.18 48.82 430274 | 1 0.18 49.01 430275 | 1 0.18 49.19 430276 | 1 0.18 49.37 430277 | 1 0.18 49.55 430278 | 1 0.18 49.73 430279 | 1 0.18 49.91 430280 | 1 0.18 50.09 430281 | 1 0.18 50.27 430282 | 1 0.18 50.45 430283 | 1 0.18 50.63 430284 | 1 0.18 50.81 430285 | 1 0.18 50.99 430286 | 1 0.18 51.18 430287 | 1 0.18 51.36 430288 | 1 0.18 51.54 430289 | 1 0.18 51.72 430290 | 1 0.18 51.90 430291 | 1 0.18 52.08 430292 | 1 0.18 52.26 430293 | 1 0.18 52.44 430294 | 1 0.18 52.62 430295 | 1 0.18 52.80 430296 | 1 0.18 52.98 430297 | 1 0.18 53.16 430298 | 1 0.18 53.35 430299 | 1 0.18 53.53 430300 | 1 0.18 53.71 430301 | 1 0.18 53.89 430302 | 1 0.18 54.07 430303 | 1 0.18 54.25 430304 | 1 0.18 54.43 430305 | 1 0.18 54.61 430306 | 1 0.18 54.79 430307 | 1 0.18 54.97 430308 | 1 0.18 55.15 430309 | 1 0.18 55.33 430310 | 1 0.18 55.52 430311 | 1 0.18 55.70 430312 | 1 0.18 55.88 430313 | 1 0.18 56.06 430314 | 1 0.18 56.24 430315 | 1 0.18 56.42 430316 | 1 0.18 56.60 430317 | 1 0.18 56.78 430318 | 1 0.18 56.96 430319 | 1 0.18 57.14 430320 | 1 0.18 57.32 430321 | 1 0.18 57.50 430322 | 1 0.18 57.69 430323 | 1 0.18 57.87 430324 | 1 0.18 58.05 430325 | 1 0.18 58.23 430326 | 1 0.18 58.41 430327 | 1 0.18 58.59 430328 | 1 0.18 58.77 430329 | 1 0.18 58.95 430330 | 1 0.18 59.13 430331 | 1 0.18 59.31 430332 | 1 0.18 59.49 430333 | 1 0.18 59.67 430334 | 1 0.18 59.86 430335 | 1 0.18 60.04 430336 | 1 0.18 60.22 430337 | 1 0.18 60.40 430338 | 1 0.18 60.58 430339 | 1 0.18 60.76 430340 | 1 0.18 60.94 430341 | 1 0.18 61.12 430342 | 1 0.18 61.30 430343 | 1 0.18 61.48 430344 | 1 0.18 61.66 430345 | 1 0.18 61.84 430346 | 1 0.18 62.03 430347 | 1 0.18 62.21 430348 | 1 0.18 62.39 430349 | 1 0.18 62.57 430350 | 1 0.18 62.75 430351 | 1 0.18 62.93 430352 | 1 0.18 63.11 430353 | 1 0.18 63.29 430354 | 1 0.18 63.47 430355 | 1 0.18 63.65 430356 | 1 0.18 63.83 430357 | 1 0.18 64.01 430358 | 1 0.18 64.20 430359 | 1 0.18 64.38 430360 | 1 0.18 64.56 430361 | 1 0.18 64.74 430362 | 1 0.18 64.92 430363 | 1 0.18 65.10 430364 | 1 0.18 65.28 430366 | 1 0.18 65.46 430367 | 1 0.18 65.64 430368 | 1 0.18 65.82 430369 | 1 0.18 66.00 430370 | 1 0.18 66.18 430371 | 1 0.18 66.37 430372 | 1 0.18 66.55 430373 | 1 0.18 66.73 430374 | 1 0.18 66.91 430375 | 1 0.18 67.09 430376 | 1 0.18 67.27 430378 | 1 0.18 67.45 430379 | 1 0.18 67.63 430380 | 1 0.18 67.81 430381 | 1 0.18 67.99 430382 | 1 0.18 68.17 430383 | 1 0.18 68.35 430384 | 1 0.18 68.54 430385 | 1 0.18 68.72 430386 | 1 0.18 68.90 430387 | 1 0.18 69.08 430388 | 1 0.18 69.26 430389 | 1 0.18 69.44 430390 | 1 0.18 69.62 430391 | 1 0.18 69.80 430392 | 1 0.18 69.98 430393 | 1 0.18 70.16 430394 | 1 0.18 70.34 430395 | 1 0.18 70.52 430396 | 1 0.18 70.71 430397 | 1 0.18 70.89 430398 | 1 0.18 71.07 430399 | 1 0.18 71.25 430400 | 1 0.18 71.43 430401 | 1 0.18 71.61 430402 | 1 0.18 71.79 430403 | 1 0.18 71.97 430404 | 1 0.18 72.15 430405 | 1 0.18 72.33 430406 | 1 0.18 72.51 430407 | 1 0.18 72.69 430408 | 1 0.18 72.88 430409 | 1 0.18 73.06 430410 | 1 0.18 73.24 430411 | 1 0.18 73.42 430412 | 1 0.18 73.60 430413 | 1 0.18 73.78 430414 | 1 0.18 73.96 430415 | 1 0.18 74.14 430416 | 1 0.18 74.32 430417 | 1 0.18 74.50 430418 | 1 0.18 74.68 430419 | 1 0.18 74.86 430420 | 1 0.18 75.05 430421 | 1 0.18 75.23 430422 | 1 0.18 75.41 430423 | 1 0.18 75.59 430424 | 1 0.18 75.77 430425 | 1 0.18 75.95 430426 | 1 0.18 76.13 430427 | 1 0.18 76.31 430428 | 1 0.18 76.49 430429 | 1 0.18 76.67 430430 | 1 0.18 76.85 430431 | 1 0.18 77.03 430432 | 1 0.18 77.22 430433 | 1 0.18 77.40 430434 | 1 0.18 77.58 430435 | 1 0.18 77.76 430436 | 1 0.18 77.94 430437 | 1 0.18 78.12 430438 | 1 0.18 78.30 430439 | 1 0.18 78.48 430440 | 1 0.18 78.66 430441 | 1 0.18 78.84 430443 | 1 0.18 79.02 430444 | 1 0.18 79.20 430445 | 1 0.18 79.39 430446 | 1 0.18 79.57 430447 | 1 0.18 79.75 430448 | 1 0.18 79.93 430449 | 1 0.18 80.11 430450 | 1 0.18 80.29 430451 | 1 0.18 80.47 430452 | 1 0.18 80.65 430453 | 1 0.18 80.83 430454 | 1 0.18 81.01 430455 | 1 0.18 81.19 430456 | 1 0.18 81.37 430457 | 1 0.18 81.56 430458 | 1 0.18 81.74 430459 | 1 0.18 81.92 430460 | 1 0.18 82.10 430461 | 1 0.18 82.28 430462 | 1 0.18 82.46 430463 | 1 0.18 82.64 430464 | 1 0.18 82.82 430465 | 1 0.18 83.00 430466 | 1 0.18 83.18 430467 | 1 0.18 83.36 430468 | 1 0.18 83.54 430469 | 1 0.18 83.73 430470 | 1 0.18 83.91 430471 | 1 0.18 84.09 430472 | 1 0.18 84.27 430473 | 1 0.18 84.45 430474 | 1 0.18 84.63 430475 | 1 0.18 84.81 430476 | 1 0.18 84.99 430477 | 1 0.18 85.17 430478 | 1 0.18 85.35 430479 | 1 0.18 85.53 430480 | 1 0.18 85.71 430481 | 1 0.18 85.90 430482 | 1 0.18 86.08 430483 | 1 0.18 86.26 430484 | 1 0.18 86.44 430485 | 1 0.18 86.62 430486 | 1 0.18 86.80 430487 | 1 0.18 86.98 430488 | 1 0.18 87.16 430489 | 1 0.18 87.34 430490 | 1 0.18 87.52 430491 | 1 0.18 87.70 430492 | 1 0.18 87.88 430493 | 1 0.18 88.07 430495 | 1 0.18 88.25 430496 | 1 0.18 88.43 430498 | 1 0.18 88.61 430499 | 1 0.18 88.79 430500 | 1 0.18 88.97 430501 | 1 0.18 89.15 430502 | 1 0.18 89.33 430503 | 1 0.18 89.51 430504 | 1 0.18 89.69 430505 | 1 0.18 89.87 430506 | 1 0.18 90.05 430507 | 1 0.18 90.24 430508 | 1 0.18 90.42 430509 | 1 0.18 90.60 430510 | 1 0.18 90.78 430511 | 1 0.18 90.96 430512 | 1 0.18 91.14 430513 | 1 0.18 91.32 430514 | 1 0.18 91.50 430515 | 1 0.18 91.68 430516 | 1 0.18 91.86 430517 | 1 0.18 92.04 430518 | 1 0.18 92.22 430519 | 1 0.18 92.41 430520 | 1 0.18 92.59 430521 | 1 0.18 92.77 430522 | 1 0.18 92.95 430523 | 1 0.18 93.13 430524 | 1 0.18 93.31 430525 | 1 0.18 93.49 430526 | 1 0.18 93.67 430527 | 1 0.18 93.85 430528 | 1 0.18 94.03 430529 | 1 0.18 94.21 430530 | 1 0.18 94.39 430531 | 1 0.18 94.58 430532 | 1 0.18 94.76 430533 | 1 0.18 94.94 430535 | 1 0.18 95.12 430536 | 1 0.18 95.30 430537 | 1 0.18 95.48 430538 | 1 0.18 95.66 430539 | 1 0.18 95.84 430540 | 1 0.18 96.02 430541 | 1 0.18 96.20 430543 | 1 0.18 96.38 430544 | 1 0.18 96.56 430545 | 1 0.18 96.75 430550 | 1 0.18 96.93 430551 | 1 0.18 97.11 430552 | 1 0.18 97.29 430553 | 1 0.18 97.47 430554 | 1 0.18 97.65 430555 | 1 0.18 97.83 430556 | 1 0.18 98.01 430557 | 1 0.18 98.19 430558 | 1 0.18 98.37 430559 | 1 0.18 98.55 430560 | 1 0.18 98.73 430561 | 1 0.18 98.92 430562 | 1 0.18 99.10 430563 | 1 0.18 99.28 430564 | 1 0.18 99.46 430565 | 1 0.18 99.64 430566 | 1 0.18 99.82 430567 | 1 0.18 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 553 100.00 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 553 100.00 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 244 44.12 44.12 2 | 309 55.88 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 137 24.77 24.77 2 | 416 75.23 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 384 69.44 69.44 2 | 15 2.71 72.15 3 | 3 0.54 72.69 4 | 151 27.31 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 47 8.50 8.50 2 | 506 91.50 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 137 24.77 24.77 2 | 7 1.27 26.04 3 | 46 8.32 34.36 4 | 41 7.41 41.77 5 | 131 23.69 65.46 6 | 191 34.54 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 47 8.50 8.50 2 | 506 91.50 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 387 69.98 69.98 2 | 31 5.61 75.59 3 | 46 8.32 83.91 4 | 67 12.12 96.02 5 | 22 3.98 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 553 100.00 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 204 36.89 36.89 2 | 348 62.93 99.82 3 | 1 0.18 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 279 50.45 50.45 2 | 274 49.55 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 69 12.48 12.48 2 | 484 87.52 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 376 67.99 67.99 2 | 151 27.31 95.30 3 | 26 4.70 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 29 5.24 5.24 2 | 524 94.76 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 30 5.42 5.42 2 | 523 94.58 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 259 46.84 46.84 2 | 294 53.16 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 225 40.69 40.69 2 | 328 59.31 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 19 3.44 3.44 2 | 534 96.56 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 35 6.33 6.33 2 | 518 93.67 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 553 100.00 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 165 29.84 29.84 2 | 167 30.20 60.04 3 | 221 39.96 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 75 13.56 13.56 2 | 478 86.44 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 72 13.02 13.02 2 | 481 86.98 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 99 17.90 17.90 2 | 454 82.10 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 96 17.36 17.36 2 | 457 82.64 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 37 6.69 6.69 2 | 516 93.31 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 106 19.17 19.17 2 | 447 80.83 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 193 34.90 34.90 2 | 360 65.10 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.18 0.18 2 | 552 99.82 100.00 ------------+----------------------------------- Total | 553 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 5 0.90 0.90 2 | 548 99.10 100.00 ------------+----------------------------------- Total | 553 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016