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. ------------+----------------------------------- 1989 | 516 100.00 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for state variable in acc_aux dataset : State | Freq. Percent Cum. ------------+----------------------------------- 42 | 1 0.19 0.19 43 | 515 99.81 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for county variable in acc_aux dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 515 99.81 99.81 115 | 1 0.19 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for fatals variable in acc_aux dataset : Accident | Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 496 96.12 96.12 2 | 16 3.10 99.22 3 | 2 0.39 99.61 4 | 1 0.19 99.81 5 | 1 0.19 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for st_case variable in acc_aux dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 421734 | 1 0.19 0.19 430001 | 1 0.19 0.39 430002 | 1 0.19 0.58 430003 | 1 0.19 0.78 430004 | 1 0.19 0.97 430005 | 1 0.19 1.16 430006 | 1 0.19 1.36 430007 | 1 0.19 1.55 430008 | 1 0.19 1.74 430009 | 1 0.19 1.94 430010 | 1 0.19 2.13 430011 | 1 0.19 2.33 430012 | 1 0.19 2.52 430013 | 1 0.19 2.71 430014 | 1 0.19 2.91 430017 | 1 0.19 3.10 430018 | 1 0.19 3.29 430019 | 1 0.19 3.49 430020 | 1 0.19 3.68 430021 | 1 0.19 3.88 430022 | 1 0.19 4.07 430023 | 1 0.19 4.26 430024 | 1 0.19 4.46 430025 | 1 0.19 4.65 430026 | 1 0.19 4.84 430027 | 1 0.19 5.04 430028 | 1 0.19 5.23 430029 | 1 0.19 5.43 430030 | 1 0.19 5.62 430031 | 1 0.19 5.81 430032 | 1 0.19 6.01 430033 | 1 0.19 6.20 430034 | 1 0.19 6.40 430035 | 1 0.19 6.59 430036 | 1 0.19 6.78 430037 | 1 0.19 6.98 430038 | 1 0.19 7.17 430039 | 1 0.19 7.36 430040 | 1 0.19 7.56 430041 | 1 0.19 7.75 430042 | 1 0.19 7.95 430043 | 1 0.19 8.14 430044 | 1 0.19 8.33 430045 | 1 0.19 8.53 430046 | 1 0.19 8.72 430047 | 1 0.19 8.91 430048 | 1 0.19 9.11 430049 | 1 0.19 9.30 430050 | 1 0.19 9.50 430051 | 1 0.19 9.69 430052 | 1 0.19 9.88 430053 | 1 0.19 10.08 430054 | 1 0.19 10.27 430055 | 1 0.19 10.47 430056 | 1 0.19 10.66 430057 | 1 0.19 10.85 430058 | 1 0.19 11.05 430059 | 1 0.19 11.24 430060 | 1 0.19 11.43 430061 | 1 0.19 11.63 430062 | 1 0.19 11.82 430063 | 1 0.19 12.02 430064 | 1 0.19 12.21 430065 | 1 0.19 12.40 430066 | 1 0.19 12.60 430067 | 1 0.19 12.79 430068 | 1 0.19 12.98 430069 | 1 0.19 13.18 430070 | 1 0.19 13.37 430071 | 1 0.19 13.57 430072 | 1 0.19 13.76 430073 | 1 0.19 13.95 430074 | 1 0.19 14.15 430075 | 1 0.19 14.34 430076 | 1 0.19 14.53 430077 | 1 0.19 14.73 430078 | 1 0.19 14.92 430079 | 1 0.19 15.12 430080 | 1 0.19 15.31 430081 | 1 0.19 15.50 430082 | 1 0.19 15.70 430083 | 1 0.19 15.89 430084 | 1 0.19 16.09 430085 | 1 0.19 16.28 430086 | 1 0.19 16.47 430087 | 1 0.19 16.67 430088 | 1 0.19 16.86 430090 | 1 0.19 17.05 430091 | 1 0.19 17.25 430092 | 1 0.19 17.44 430093 | 1 0.19 17.64 430094 | 1 0.19 17.83 430095 | 1 0.19 18.02 430098 | 1 0.19 18.22 430099 | 1 0.19 18.41 430100 | 1 0.19 18.60 430101 | 1 0.19 18.80 430102 | 1 0.19 18.99 430103 | 1 0.19 19.19 430104 | 1 0.19 19.38 430105 | 1 0.19 19.57 430106 | 1 0.19 19.77 430107 | 1 0.19 19.96 430108 | 1 0.19 20.16 430109 | 1 0.19 20.35 430110 | 1 0.19 20.54 430111 | 1 0.19 20.74 430112 | 1 0.19 20.93 430113 | 1 0.19 21.12 430114 | 1 0.19 21.32 430115 | 1 0.19 21.51 430116 | 1 0.19 21.71 430117 | 1 0.19 21.90 430118 | 1 0.19 22.09 430119 | 1 0.19 22.29 430120 | 1 0.19 22.48 430121 | 1 0.19 22.67 430122 | 1 0.19 22.87 430123 | 1 0.19 23.06 430124 | 1 0.19 23.26 430126 | 1 0.19 23.45 430129 | 1 0.19 23.64 430130 | 1 0.19 23.84 430131 | 1 0.19 24.03 430132 | 1 0.19 24.22 430136 | 1 0.19 24.42 430137 | 1 0.19 24.61 430138 | 1 0.19 24.81 430139 | 1 0.19 25.00 430140 | 1 0.19 25.19 430141 | 1 0.19 25.39 430142 | 1 0.19 25.58 430150 | 1 0.19 25.78 430151 | 1 0.19 25.97 430154 | 1 0.19 26.16 430155 | 1 0.19 26.36 430156 | 1 0.19 26.55 430157 | 1 0.19 26.74 430158 | 1 0.19 26.94 430159 | 1 0.19 27.13 430160 | 1 0.19 27.33 430161 | 1 0.19 27.52 430162 | 1 0.19 27.71 430163 | 1 0.19 27.91 430164 | 1 0.19 28.10 430165 | 1 0.19 28.29 430166 | 1 0.19 28.49 430167 | 1 0.19 28.68 430168 | 1 0.19 28.88 430169 | 1 0.19 29.07 430170 | 1 0.19 29.26 430171 | 1 0.19 29.46 430172 | 1 0.19 29.65 430173 | 1 0.19 29.84 430174 | 1 0.19 30.04 430175 | 1 0.19 30.23 430176 | 1 0.19 30.43 430177 | 1 0.19 30.62 430178 | 1 0.19 30.81 430179 | 1 0.19 31.01 430180 | 1 0.19 31.20 430181 | 1 0.19 31.40 430182 | 1 0.19 31.59 430183 | 1 0.19 31.78 430184 | 1 0.19 31.98 430185 | 1 0.19 32.17 430186 | 1 0.19 32.36 430187 | 1 0.19 32.56 430188 | 1 0.19 32.75 430189 | 1 0.19 32.95 430190 | 1 0.19 33.14 430191 | 1 0.19 33.33 430192 | 1 0.19 33.53 430193 | 1 0.19 33.72 430194 | 1 0.19 33.91 430195 | 1 0.19 34.11 430196 | 1 0.19 34.30 430197 | 1 0.19 34.50 430198 | 1 0.19 34.69 430199 | 1 0.19 34.88 430200 | 1 0.19 35.08 430201 | 1 0.19 35.27 430202 | 1 0.19 35.47 430203 | 1 0.19 35.66 430204 | 1 0.19 35.85 430205 | 1 0.19 36.05 430206 | 1 0.19 36.24 430207 | 1 0.19 36.43 430208 | 1 0.19 36.63 430209 | 1 0.19 36.82 430210 | 1 0.19 37.02 430211 | 1 0.19 37.21 430212 | 1 0.19 37.40 430213 | 1 0.19 37.60 430215 | 1 0.19 37.79 430216 | 1 0.19 37.98 430217 | 1 0.19 38.18 430218 | 1 0.19 38.37 430219 | 1 0.19 38.57 430220 | 1 0.19 38.76 430221 | 1 0.19 38.95 430222 | 1 0.19 39.15 430223 | 1 0.19 39.34 430224 | 1 0.19 39.53 430225 | 1 0.19 39.73 430226 | 1 0.19 39.92 430227 | 1 0.19 40.12 430228 | 1 0.19 40.31 430229 | 1 0.19 40.50 430230 | 1 0.19 40.70 430231 | 1 0.19 40.89 430232 | 1 0.19 41.09 430233 | 1 0.19 41.28 430234 | 1 0.19 41.47 430235 | 1 0.19 41.67 430236 | 1 0.19 41.86 430237 | 1 0.19 42.05 430238 | 1 0.19 42.25 430239 | 1 0.19 42.44 430240 | 1 0.19 42.64 430241 | 1 0.19 42.83 430242 | 1 0.19 43.02 430243 | 1 0.19 43.22 430244 | 1 0.19 43.41 430245 | 1 0.19 43.60 430246 | 1 0.19 43.80 430247 | 1 0.19 43.99 430248 | 1 0.19 44.19 430249 | 1 0.19 44.38 430250 | 1 0.19 44.57 430251 | 1 0.19 44.77 430253 | 1 0.19 44.96 430254 | 1 0.19 45.16 430255 | 1 0.19 45.35 430256 | 1 0.19 45.54 430257 | 1 0.19 45.74 430258 | 1 0.19 45.93 430259 | 1 0.19 46.12 430260 | 1 0.19 46.32 430261 | 1 0.19 46.51 430262 | 1 0.19 46.71 430263 | 1 0.19 46.90 430264 | 1 0.19 47.09 430265 | 1 0.19 47.29 430266 | 1 0.19 47.48 430267 | 1 0.19 47.67 430268 | 1 0.19 47.87 430269 | 1 0.19 48.06 430270 | 1 0.19 48.26 430271 | 1 0.19 48.45 430272 | 1 0.19 48.64 430273 | 1 0.19 48.84 430274 | 1 0.19 49.03 430275 | 1 0.19 49.22 430276 | 1 0.19 49.42 430277 | 1 0.19 49.61 430278 | 1 0.19 49.81 430279 | 1 0.19 50.00 430280 | 1 0.19 50.19 430281 | 1 0.19 50.39 430282 | 1 0.19 50.58 430283 | 1 0.19 50.78 430284 | 1 0.19 50.97 430285 | 1 0.19 51.16 430286 | 1 0.19 51.36 430288 | 1 0.19 51.55 430289 | 1 0.19 51.74 430290 | 1 0.19 51.94 430291 | 1 0.19 52.13 430292 | 1 0.19 52.33 430293 | 1 0.19 52.52 430294 | 1 0.19 52.71 430295 | 1 0.19 52.91 430296 | 1 0.19 53.10 430297 | 1 0.19 53.29 430299 | 1 0.19 53.49 430300 | 1 0.19 53.68 430301 | 1 0.19 53.88 430302 | 1 0.19 54.07 430303 | 1 0.19 54.26 430304 | 1 0.19 54.46 430305 | 1 0.19 54.65 430306 | 1 0.19 54.84 430307 | 1 0.19 55.04 430308 | 1 0.19 55.23 430309 | 1 0.19 55.43 430310 | 1 0.19 55.62 430311 | 1 0.19 55.81 430312 | 1 0.19 56.01 430313 | 1 0.19 56.20 430314 | 1 0.19 56.40 430315 | 1 0.19 56.59 430316 | 1 0.19 56.78 430317 | 1 0.19 56.98 430318 | 1 0.19 57.17 430319 | 1 0.19 57.36 430320 | 1 0.19 57.56 430321 | 1 0.19 57.75 430322 | 1 0.19 57.95 430323 | 1 0.19 58.14 430324 | 1 0.19 58.33 430325 | 1 0.19 58.53 430326 | 1 0.19 58.72 430327 | 1 0.19 58.91 430328 | 1 0.19 59.11 430329 | 1 0.19 59.30 430330 | 1 0.19 59.50 430331 | 1 0.19 59.69 430332 | 1 0.19 59.88 430333 | 1 0.19 60.08 430334 | 1 0.19 60.27 430335 | 1 0.19 60.47 430336 | 1 0.19 60.66 430337 | 1 0.19 60.85 430338 | 1 0.19 61.05 430339 | 1 0.19 61.24 430340 | 1 0.19 61.43 430341 | 1 0.19 61.63 430342 | 1 0.19 61.82 430343 | 1 0.19 62.02 430344 | 1 0.19 62.21 430345 | 1 0.19 62.40 430346 | 1 0.19 62.60 430347 | 1 0.19 62.79 430348 | 1 0.19 62.98 430349 | 1 0.19 63.18 430350 | 1 0.19 63.37 430351 | 1 0.19 63.57 430352 | 1 0.19 63.76 430353 | 1 0.19 63.95 430354 | 1 0.19 64.15 430355 | 1 0.19 64.34 430356 | 1 0.19 64.53 430357 | 1 0.19 64.73 430358 | 1 0.19 64.92 430359 | 1 0.19 65.12 430361 | 1 0.19 65.31 430362 | 1 0.19 65.50 430363 | 1 0.19 65.70 430364 | 1 0.19 65.89 430365 | 1 0.19 66.09 430366 | 1 0.19 66.28 430367 | 1 0.19 66.47 430368 | 1 0.19 66.67 430369 | 1 0.19 66.86 430370 | 1 0.19 67.05 430371 | 1 0.19 67.25 430372 | 1 0.19 67.44 430373 | 1 0.19 67.64 430374 | 1 0.19 67.83 430375 | 1 0.19 68.02 430376 | 1 0.19 68.22 430377 | 1 0.19 68.41 430378 | 1 0.19 68.60 430379 | 1 0.19 68.80 430380 | 1 0.19 68.99 430381 | 1 0.19 69.19 430382 | 1 0.19 69.38 430383 | 1 0.19 69.57 430384 | 1 0.19 69.77 430385 | 1 0.19 69.96 430386 | 1 0.19 70.16 430387 | 1 0.19 70.35 430388 | 1 0.19 70.54 430389 | 1 0.19 70.74 430390 | 1 0.19 70.93 430391 | 1 0.19 71.12 430392 | 1 0.19 71.32 430393 | 1 0.19 71.51 430394 | 1 0.19 71.71 430396 | 1 0.19 71.90 430397 | 1 0.19 72.09 430398 | 1 0.19 72.29 430399 | 1 0.19 72.48 430400 | 1 0.19 72.67 430401 | 1 0.19 72.87 430402 | 1 0.19 73.06 430403 | 1 0.19 73.26 430404 | 1 0.19 73.45 430405 | 1 0.19 73.64 430406 | 1 0.19 73.84 430407 | 1 0.19 74.03 430408 | 1 0.19 74.22 430410 | 1 0.19 74.42 430411 | 1 0.19 74.61 430412 | 1 0.19 74.81 430413 | 1 0.19 75.00 430414 | 1 0.19 75.19 430415 | 1 0.19 75.39 430417 | 1 0.19 75.58 430418 | 1 0.19 75.78 430419 | 1 0.19 75.97 430420 | 1 0.19 76.16 430421 | 1 0.19 76.36 430422 | 1 0.19 76.55 430423 | 1 0.19 76.74 430424 | 1 0.19 76.94 430425 | 1 0.19 77.13 430426 | 1 0.19 77.33 430427 | 1 0.19 77.52 430429 | 1 0.19 77.71 430430 | 1 0.19 77.91 430431 | 1 0.19 78.10 430432 | 1 0.19 78.29 430433 | 1 0.19 78.49 430434 | 1 0.19 78.68 430435 | 1 0.19 78.88 430436 | 1 0.19 79.07 430437 | 1 0.19 79.26 430438 | 1 0.19 79.46 430439 | 1 0.19 79.65 430440 | 1 0.19 79.84 430441 | 1 0.19 80.04 430442 | 1 0.19 80.23 430443 | 1 0.19 80.43 430444 | 1 0.19 80.62 430445 | 1 0.19 80.81 430446 | 1 0.19 81.01 430447 | 1 0.19 81.20 430448 | 1 0.19 81.40 430449 | 1 0.19 81.59 430450 | 1 0.19 81.78 430451 | 1 0.19 81.98 430452 | 1 0.19 82.17 430453 | 1 0.19 82.36 430454 | 1 0.19 82.56 430455 | 1 0.19 82.75 430456 | 1 0.19 82.95 430457 | 1 0.19 83.14 430458 | 1 0.19 83.33 430459 | 1 0.19 83.53 430460 | 1 0.19 83.72 430461 | 1 0.19 83.91 430462 | 1 0.19 84.11 430463 | 1 0.19 84.30 430464 | 1 0.19 84.50 430465 | 1 0.19 84.69 430466 | 1 0.19 84.88 430467 | 1 0.19 85.08 430468 | 1 0.19 85.27 430469 | 1 0.19 85.47 430470 | 1 0.19 85.66 430471 | 1 0.19 85.85 430472 | 1 0.19 86.05 430473 | 1 0.19 86.24 430474 | 1 0.19 86.43 430475 | 1 0.19 86.63 430477 | 1 0.19 86.82 430478 | 1 0.19 87.02 430479 | 1 0.19 87.21 430480 | 1 0.19 87.40 430481 | 1 0.19 87.60 430483 | 1 0.19 87.79 430484 | 1 0.19 87.98 430485 | 1 0.19 88.18 430486 | 1 0.19 88.37 430487 | 1 0.19 88.57 430488 | 1 0.19 88.76 430489 | 1 0.19 88.95 430490 | 1 0.19 89.15 430491 | 1 0.19 89.34 430492 | 1 0.19 89.53 430493 | 1 0.19 89.73 430494 | 1 0.19 89.92 430495 | 1 0.19 90.12 430496 | 1 0.19 90.31 430497 | 1 0.19 90.50 430498 | 1 0.19 90.70 430499 | 1 0.19 90.89 430500 | 1 0.19 91.09 430501 | 1 0.19 91.28 430502 | 1 0.19 91.47 430503 | 1 0.19 91.67 430504 | 1 0.19 91.86 430505 | 1 0.19 92.05 430506 | 1 0.19 92.25 430507 | 1 0.19 92.44 430508 | 1 0.19 92.64 430509 | 1 0.19 92.83 430510 | 1 0.19 93.02 430511 | 1 0.19 93.22 430512 | 1 0.19 93.41 430513 | 1 0.19 93.60 430514 | 1 0.19 93.80 430515 | 1 0.19 93.99 430516 | 1 0.19 94.19 430517 | 1 0.19 94.38 430519 | 1 0.19 94.57 430520 | 1 0.19 94.77 430521 | 1 0.19 94.96 430522 | 1 0.19 95.16 430523 | 1 0.19 95.35 430524 | 1 0.19 95.54 430525 | 1 0.19 95.74 430526 | 1 0.19 95.93 430527 | 1 0.19 96.12 430528 | 1 0.19 96.32 430529 | 1 0.19 96.51 430530 | 1 0.19 96.71 430531 | 1 0.19 96.90 430532 | 1 0.19 97.09 430533 | 1 0.19 97.29 430534 | 1 0.19 97.48 430535 | 1 0.19 97.67 430536 | 1 0.19 97.87 430537 | 1 0.19 98.06 430538 | 1 0.19 98.26 430539 | 1 0.19 98.45 430540 | 1 0.19 98.64 430541 | 1 0.19 98.84 430542 | 1 0.19 99.03 430543 | 1 0.19 99.22 430544 | 1 0.19 99.42 430545 | 1 0.19 99.61 430546 | 1 0.19 99.81 430547 | 1 0.19 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 516 100.00 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 516 100.00 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 248 48.06 48.06 2 | 268 51.94 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 87 16.86 16.86 2 | 429 83.14 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 346 67.05 67.05 2 | 19 3.68 70.74 3 | 1 0.19 70.93 4 | 150 29.07 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 43 8.33 8.33 2 | 473 91.67 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 87 16.86 16.86 2 | 57 11.05 27.91 3 | 28 5.43 33.33 4 | 49 9.50 42.83 5 | 114 22.09 64.92 6 | 181 35.08 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 43 8.33 8.33 2 | 472 91.47 99.81 3 | 1 0.19 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 367 71.12 71.12 2 | 20 3.88 75.00 3 | 55 10.66 85.66 4 | 64 12.40 98.06 5 | 10 1.94 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 516 100.00 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 195 37.79 37.79 2 | 320 62.02 99.81 3 | 1 0.19 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 286 55.43 55.43 2 | 229 44.38 99.81 3 | 1 0.19 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 47 9.11 9.11 2 | 469 90.89 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 356 68.99 68.99 2 | 138 26.74 95.74 3 | 22 4.26 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 2 | 516 100.00 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 6.98 6.98 2 | 480 93.02 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 253 49.03 49.03 2 | 263 50.97 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 197 38.18 38.18 2 | 319 61.82 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 26 5.04 5.04 2 | 490 94.96 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 37 7.17 7.17 2 | 479 92.83 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 516 100.00 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 153 29.65 29.65 2 | 99 19.19 48.84 3 | 264 51.16 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 74 14.34 14.34 2 | 442 85.66 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 73 14.15 14.15 2 | 443 85.85 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 89 17.25 17.25 2 | 427 82.75 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 88 17.05 17.05 2 | 428 82.95 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 22 4.26 4.26 2 | 494 95.74 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 85 16.47 16.47 2 | 431 83.53 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 166 32.17 32.17 2 | 350 67.83 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 2 0.39 0.39 2 | 514 99.61 100.00 ------------+----------------------------------- Total | 516 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 5 0.97 0.97 2 | 511 99.03 100.00 ------------+----------------------------------- Total | 516 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016