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. ------------+----------------------------------- 1983 | 486 100.00 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for state variable in acc_aux dataset : State | Freq. Percent Cum. ------------+----------------------------------- 43 | 486 100.00 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for county variable in acc_aux dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 486 100.00 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for fatals variable in acc_aux dataset : Accident | Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 464 95.47 95.47 2 | 17 3.50 98.97 3 | 4 0.82 99.79 4 | 1 0.21 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for st_case variable in acc_aux dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.21 0.21 430002 | 1 0.21 0.41 430003 | 1 0.21 0.62 430004 | 1 0.21 0.82 430005 | 1 0.21 1.03 430006 | 1 0.21 1.23 430007 | 1 0.21 1.44 430008 | 1 0.21 1.65 430009 | 1 0.21 1.85 430010 | 1 0.21 2.06 430011 | 1 0.21 2.26 430012 | 1 0.21 2.47 430013 | 1 0.21 2.67 430014 | 1 0.21 2.88 430015 | 1 0.21 3.09 430016 | 1 0.21 3.29 430017 | 1 0.21 3.50 430018 | 1 0.21 3.70 430019 | 1 0.21 3.91 430020 | 1 0.21 4.12 430021 | 1 0.21 4.32 430022 | 1 0.21 4.53 430023 | 1 0.21 4.73 430024 | 1 0.21 4.94 430025 | 1 0.21 5.14 430026 | 1 0.21 5.35 430027 | 1 0.21 5.56 430028 | 1 0.21 5.76 430029 | 1 0.21 5.97 430030 | 1 0.21 6.17 430031 | 1 0.21 6.38 430032 | 1 0.21 6.58 430033 | 1 0.21 6.79 430034 | 1 0.21 7.00 430035 | 1 0.21 7.20 430036 | 1 0.21 7.41 430037 | 1 0.21 7.61 430038 | 1 0.21 7.82 430039 | 1 0.21 8.02 430040 | 1 0.21 8.23 430041 | 1 0.21 8.44 430042 | 1 0.21 8.64 430043 | 1 0.21 8.85 430044 | 1 0.21 9.05 430045 | 1 0.21 9.26 430046 | 1 0.21 9.47 430047 | 1 0.21 9.67 430048 | 1 0.21 9.88 430049 | 1 0.21 10.08 430050 | 1 0.21 10.29 430051 | 1 0.21 10.49 430052 | 1 0.21 10.70 430053 | 1 0.21 10.91 430054 | 1 0.21 11.11 430055 | 1 0.21 11.32 430056 | 1 0.21 11.52 430057 | 1 0.21 11.73 430058 | 1 0.21 11.93 430059 | 1 0.21 12.14 430060 | 1 0.21 12.35 430061 | 1 0.21 12.55 430062 | 1 0.21 12.76 430063 | 1 0.21 12.96 430064 | 1 0.21 13.17 430065 | 1 0.21 13.37 430066 | 1 0.21 13.58 430067 | 1 0.21 13.79 430068 | 1 0.21 13.99 430069 | 1 0.21 14.20 430070 | 1 0.21 14.40 430071 | 1 0.21 14.61 430072 | 1 0.21 14.81 430073 | 1 0.21 15.02 430074 | 1 0.21 15.23 430075 | 1 0.21 15.43 430076 | 1 0.21 15.64 430077 | 1 0.21 15.84 430078 | 1 0.21 16.05 430079 | 1 0.21 16.26 430080 | 1 0.21 16.46 430081 | 1 0.21 16.67 430082 | 1 0.21 16.87 430083 | 1 0.21 17.08 430084 | 1 0.21 17.28 430085 | 1 0.21 17.49 430086 | 1 0.21 17.70 430087 | 1 0.21 17.90 430088 | 1 0.21 18.11 430089 | 1 0.21 18.31 430090 | 1 0.21 18.52 430091 | 1 0.21 18.72 430092 | 1 0.21 18.93 430093 | 1 0.21 19.14 430094 | 1 0.21 19.34 430095 | 1 0.21 19.55 430096 | 1 0.21 19.75 430097 | 1 0.21 19.96 430098 | 1 0.21 20.16 430099 | 1 0.21 20.37 430100 | 1 0.21 20.58 430101 | 1 0.21 20.78 430102 | 1 0.21 20.99 430103 | 1 0.21 21.19 430104 | 1 0.21 21.40 430105 | 1 0.21 21.60 430106 | 1 0.21 21.81 430107 | 1 0.21 22.02 430108 | 1 0.21 22.22 430109 | 1 0.21 22.43 430110 | 1 0.21 22.63 430111 | 1 0.21 22.84 430112 | 1 0.21 23.05 430113 | 1 0.21 23.25 430114 | 1 0.21 23.46 430115 | 1 0.21 23.66 430116 | 1 0.21 23.87 430117 | 1 0.21 24.07 430118 | 1 0.21 24.28 430119 | 1 0.21 24.49 430120 | 1 0.21 24.69 430121 | 1 0.21 24.90 430122 | 1 0.21 25.10 430123 | 1 0.21 25.31 430124 | 1 0.21 25.51 430125 | 1 0.21 25.72 430126 | 1 0.21 25.93 430127 | 1 0.21 26.13 430128 | 1 0.21 26.34 430129 | 1 0.21 26.54 430130 | 1 0.21 26.75 430131 | 1 0.21 26.95 430132 | 1 0.21 27.16 430133 | 1 0.21 27.37 430134 | 1 0.21 27.57 430135 | 1 0.21 27.78 430136 | 1 0.21 27.98 430137 | 1 0.21 28.19 430138 | 1 0.21 28.40 430139 | 1 0.21 28.60 430140 | 1 0.21 28.81 430141 | 1 0.21 29.01 430142 | 1 0.21 29.22 430143 | 1 0.21 29.42 430144 | 1 0.21 29.63 430145 | 1 0.21 29.84 430146 | 1 0.21 30.04 430147 | 1 0.21 30.25 430148 | 1 0.21 30.45 430149 | 1 0.21 30.66 430150 | 1 0.21 30.86 430151 | 1 0.21 31.07 430152 | 1 0.21 31.28 430153 | 1 0.21 31.48 430155 | 1 0.21 31.69 430156 | 1 0.21 31.89 430157 | 1 0.21 32.10 430159 | 1 0.21 32.30 430160 | 1 0.21 32.51 430162 | 1 0.21 32.72 430164 | 1 0.21 32.92 430165 | 1 0.21 33.13 430166 | 1 0.21 33.33 430167 | 1 0.21 33.54 430168 | 1 0.21 33.74 430169 | 1 0.21 33.95 430170 | 1 0.21 34.16 430171 | 1 0.21 34.36 430172 | 1 0.21 34.57 430173 | 1 0.21 34.77 430174 | 1 0.21 34.98 430175 | 1 0.21 35.19 430176 | 1 0.21 35.39 430177 | 1 0.21 35.60 430178 | 1 0.21 35.80 430179 | 1 0.21 36.01 430180 | 1 0.21 36.21 430181 | 1 0.21 36.42 430182 | 1 0.21 36.63 430183 | 1 0.21 36.83 430184 | 1 0.21 37.04 430185 | 1 0.21 37.24 430186 | 1 0.21 37.45 430187 | 1 0.21 37.65 430188 | 1 0.21 37.86 430189 | 1 0.21 38.07 430190 | 1 0.21 38.27 430191 | 1 0.21 38.48 430192 | 1 0.21 38.68 430193 | 1 0.21 38.89 430194 | 1 0.21 39.09 430195 | 1 0.21 39.30 430197 | 1 0.21 39.51 430198 | 1 0.21 39.71 430199 | 1 0.21 39.92 430200 | 1 0.21 40.12 430201 | 1 0.21 40.33 430202 | 1 0.21 40.53 430203 | 1 0.21 40.74 430205 | 1 0.21 40.95 430206 | 1 0.21 41.15 430207 | 1 0.21 41.36 430208 | 1 0.21 41.56 430209 | 1 0.21 41.77 430210 | 1 0.21 41.98 430211 | 1 0.21 42.18 430212 | 1 0.21 42.39 430213 | 1 0.21 42.59 430214 | 1 0.21 42.80 430215 | 1 0.21 43.00 430216 | 1 0.21 43.21 430217 | 1 0.21 43.42 430218 | 1 0.21 43.62 430219 | 1 0.21 43.83 430220 | 1 0.21 44.03 430221 | 1 0.21 44.24 430222 | 1 0.21 44.44 430223 | 1 0.21 44.65 430224 | 1 0.21 44.86 430225 | 1 0.21 45.06 430226 | 1 0.21 45.27 430227 | 1 0.21 45.47 430228 | 1 0.21 45.68 430229 | 1 0.21 45.88 430230 | 1 0.21 46.09 430231 | 1 0.21 46.30 430232 | 1 0.21 46.50 430233 | 1 0.21 46.71 430234 | 1 0.21 46.91 430235 | 1 0.21 47.12 430236 | 1 0.21 47.33 430237 | 1 0.21 47.53 430238 | 1 0.21 47.74 430239 | 1 0.21 47.94 430240 | 1 0.21 48.15 430241 | 1 0.21 48.35 430242 | 1 0.21 48.56 430243 | 1 0.21 48.77 430244 | 1 0.21 48.97 430245 | 1 0.21 49.18 430246 | 1 0.21 49.38 430247 | 1 0.21 49.59 430248 | 1 0.21 49.79 430249 | 1 0.21 50.00 430250 | 1 0.21 50.21 430251 | 1 0.21 50.41 430252 | 1 0.21 50.62 430253 | 1 0.21 50.82 430254 | 1 0.21 51.03 430255 | 1 0.21 51.23 430256 | 1 0.21 51.44 430257 | 1 0.21 51.65 430258 | 1 0.21 51.85 430259 | 1 0.21 52.06 430260 | 1 0.21 52.26 430261 | 1 0.21 52.47 430262 | 1 0.21 52.67 430263 | 1 0.21 52.88 430264 | 1 0.21 53.09 430265 | 1 0.21 53.29 430266 | 1 0.21 53.50 430267 | 1 0.21 53.70 430268 | 1 0.21 53.91 430269 | 1 0.21 54.12 430270 | 1 0.21 54.32 430271 | 1 0.21 54.53 430272 | 1 0.21 54.73 430273 | 1 0.21 54.94 430274 | 1 0.21 55.14 430275 | 1 0.21 55.35 430276 | 1 0.21 55.56 430277 | 1 0.21 55.76 430278 | 1 0.21 55.97 430279 | 1 0.21 56.17 430280 | 1 0.21 56.38 430281 | 1 0.21 56.58 430282 | 1 0.21 56.79 430283 | 1 0.21 57.00 430284 | 1 0.21 57.20 430285 | 1 0.21 57.41 430286 | 1 0.21 57.61 430287 | 1 0.21 57.82 430288 | 1 0.21 58.02 430289 | 1 0.21 58.23 430290 | 1 0.21 58.44 430291 | 1 0.21 58.64 430292 | 1 0.21 58.85 430293 | 1 0.21 59.05 430294 | 1 0.21 59.26 430295 | 1 0.21 59.47 430296 | 1 0.21 59.67 430297 | 1 0.21 59.88 430298 | 1 0.21 60.08 430299 | 1 0.21 60.29 430300 | 1 0.21 60.49 430301 | 1 0.21 60.70 430302 | 1 0.21 60.91 430303 | 1 0.21 61.11 430304 | 1 0.21 61.32 430305 | 1 0.21 61.52 430306 | 1 0.21 61.73 430307 | 1 0.21 61.93 430308 | 1 0.21 62.14 430309 | 1 0.21 62.35 430310 | 1 0.21 62.55 430311 | 1 0.21 62.76 430312 | 1 0.21 62.96 430313 | 1 0.21 63.17 430314 | 1 0.21 63.37 430315 | 1 0.21 63.58 430316 | 1 0.21 63.79 430317 | 1 0.21 63.99 430318 | 1 0.21 64.20 430319 | 1 0.21 64.40 430320 | 1 0.21 64.61 430321 | 1 0.21 64.81 430322 | 1 0.21 65.02 430323 | 1 0.21 65.23 430324 | 1 0.21 65.43 430325 | 1 0.21 65.64 430326 | 1 0.21 65.84 430327 | 1 0.21 66.05 430328 | 1 0.21 66.26 430329 | 1 0.21 66.46 430330 | 1 0.21 66.67 430331 | 1 0.21 66.87 430332 | 1 0.21 67.08 430333 | 1 0.21 67.28 430334 | 1 0.21 67.49 430335 | 1 0.21 67.70 430336 | 1 0.21 67.90 430337 | 1 0.21 68.11 430338 | 1 0.21 68.31 430339 | 1 0.21 68.52 430340 | 1 0.21 68.72 430341 | 1 0.21 68.93 430342 | 1 0.21 69.14 430343 | 1 0.21 69.34 430344 | 1 0.21 69.55 430345 | 1 0.21 69.75 430346 | 1 0.21 69.96 430347 | 1 0.21 70.16 430348 | 1 0.21 70.37 430349 | 1 0.21 70.58 430350 | 1 0.21 70.78 430351 | 1 0.21 70.99 430352 | 1 0.21 71.19 430353 | 1 0.21 71.40 430354 | 1 0.21 71.60 430355 | 1 0.21 71.81 430356 | 1 0.21 72.02 430357 | 1 0.21 72.22 430358 | 1 0.21 72.43 430359 | 1 0.21 72.63 430360 | 1 0.21 72.84 430361 | 1 0.21 73.05 430362 | 1 0.21 73.25 430363 | 1 0.21 73.46 430364 | 1 0.21 73.66 430365 | 1 0.21 73.87 430366 | 1 0.21 74.07 430367 | 1 0.21 74.28 430368 | 1 0.21 74.49 430369 | 1 0.21 74.69 430370 | 1 0.21 74.90 430371 | 1 0.21 75.10 430372 | 1 0.21 75.31 430373 | 1 0.21 75.51 430374 | 1 0.21 75.72 430375 | 1 0.21 75.93 430376 | 1 0.21 76.13 430377 | 1 0.21 76.34 430378 | 1 0.21 76.54 430379 | 1 0.21 76.75 430380 | 1 0.21 76.95 430381 | 1 0.21 77.16 430383 | 1 0.21 77.37 430384 | 1 0.21 77.57 430385 | 1 0.21 77.78 430386 | 1 0.21 77.98 430387 | 1 0.21 78.19 430388 | 1 0.21 78.40 430389 | 1 0.21 78.60 430390 | 1 0.21 78.81 430391 | 1 0.21 79.01 430392 | 1 0.21 79.22 430393 | 1 0.21 79.42 430394 | 1 0.21 79.63 430395 | 1 0.21 79.84 430396 | 1 0.21 80.04 430397 | 1 0.21 80.25 430398 | 1 0.21 80.45 430399 | 1 0.21 80.66 430400 | 1 0.21 80.86 430401 | 1 0.21 81.07 430402 | 1 0.21 81.28 430403 | 1 0.21 81.48 430404 | 1 0.21 81.69 430405 | 1 0.21 81.89 430406 | 1 0.21 82.10 430407 | 1 0.21 82.30 430408 | 1 0.21 82.51 430409 | 1 0.21 82.72 430410 | 1 0.21 82.92 430411 | 1 0.21 83.13 430412 | 1 0.21 83.33 430413 | 1 0.21 83.54 430414 | 1 0.21 83.74 430415 | 1 0.21 83.95 430416 | 1 0.21 84.16 430417 | 1 0.21 84.36 430418 | 1 0.21 84.57 430419 | 1 0.21 84.77 430420 | 1 0.21 84.98 430421 | 1 0.21 85.19 430422 | 1 0.21 85.39 430423 | 1 0.21 85.60 430424 | 1 0.21 85.80 430425 | 1 0.21 86.01 430426 | 1 0.21 86.21 430427 | 1 0.21 86.42 430428 | 1 0.21 86.63 430429 | 1 0.21 86.83 430430 | 1 0.21 87.04 430431 | 1 0.21 87.24 430432 | 1 0.21 87.45 430433 | 1 0.21 87.65 430434 | 1 0.21 87.86 430435 | 1 0.21 88.07 430436 | 1 0.21 88.27 430437 | 1 0.21 88.48 430438 | 1 0.21 88.68 430439 | 1 0.21 88.89 430440 | 1 0.21 89.09 430441 | 1 0.21 89.30 430442 | 1 0.21 89.51 430443 | 1 0.21 89.71 430444 | 1 0.21 89.92 430445 | 1 0.21 90.12 430446 | 1 0.21 90.33 430447 | 1 0.21 90.53 430448 | 1 0.21 90.74 430449 | 1 0.21 90.95 430450 | 1 0.21 91.15 430451 | 1 0.21 91.36 430452 | 1 0.21 91.56 430453 | 1 0.21 91.77 430454 | 1 0.21 91.98 430455 | 1 0.21 92.18 430457 | 1 0.21 92.39 430458 | 1 0.21 92.59 430459 | 1 0.21 92.80 430460 | 1 0.21 93.00 430461 | 1 0.21 93.21 430462 | 1 0.21 93.42 430463 | 1 0.21 93.62 430464 | 1 0.21 93.83 430465 | 1 0.21 94.03 430466 | 1 0.21 94.24 430467 | 1 0.21 94.44 430468 | 1 0.21 94.65 430469 | 1 0.21 94.86 430470 | 1 0.21 95.06 430471 | 1 0.21 95.27 430472 | 1 0.21 95.47 430473 | 1 0.21 95.68 430474 | 1 0.21 95.88 430475 | 1 0.21 96.09 430476 | 1 0.21 96.30 430477 | 1 0.21 96.50 430478 | 1 0.21 96.71 430479 | 1 0.21 96.91 430480 | 1 0.21 97.12 430481 | 1 0.21 97.33 430482 | 1 0.21 97.53 430483 | 1 0.21 97.74 430484 | 1 0.21 97.94 430485 | 1 0.21 98.15 430486 | 1 0.21 98.35 430487 | 1 0.21 98.56 430488 | 1 0.21 98.77 430489 | 1 0.21 98.97 430490 | 1 0.21 99.18 430491 | 1 0.21 99.38 430492 | 1 0.21 99.59 430493 | 1 0.21 99.79 430494 | 1 0.21 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 486 100.00 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 486 100.00 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 278 57.20 57.20 2 | 208 42.80 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 2 | 486 100.00 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 334 68.72 68.72 2 | 32 6.58 75.31 3 | 11 2.26 77.57 4 | 106 21.81 99.38 6 | 3 0.62 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 82 16.87 16.87 2 | 404 83.13 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 2 | 33 6.79 6.79 3 | 210 43.21 50.00 4 | 12 2.47 52.47 5 | 81 16.67 69.14 6 | 150 30.86 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 82 16.87 16.87 2 | 401 82.51 99.38 3 | 3 0.62 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 369 75.93 75.93 2 | 7 1.44 77.37 3 | 51 10.49 87.86 4 | 46 9.47 97.33 5 | 13 2.67 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 486 100.00 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 184 37.86 37.86 2 | 297 61.11 98.97 3 | 5 1.03 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 206 42.39 42.39 2 | 278 57.20 99.59 3 | 2 0.41 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 61 12.55 12.55 2 | 425 87.45 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 352 72.43 72.43 2 | 116 23.87 96.30 3 | 18 3.70 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 15 3.09 3.09 2 | 471 96.91 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 29 5.97 5.97 2 | 457 94.03 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 206 42.39 42.39 2 | 280 57.61 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 217 44.65 44.65 2 | 269 55.35 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 18 3.70 3.70 2 | 468 96.30 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 54 11.11 11.11 2 | 432 88.89 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.21 0.21 2 | 485 99.79 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 141 29.01 29.01 2 | 36 7.41 36.42 3 | 309 63.58 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 7.41 7.41 2 | 450 92.59 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 7.41 7.41 2 | 450 92.59 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 60 12.35 12.35 2 | 426 87.65 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 60 12.35 12.35 2 | 426 87.65 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 17 3.50 3.50 2 | 469 96.50 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 80 16.46 16.46 2 | 406 83.54 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 137 28.19 28.19 2 | 349 71.81 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 486 100.00 100.00 ------------+----------------------------------- Total | 486 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 5 1.03 1.03 2 | 481 98.97 100.00 ------------+----------------------------------- Total | 486 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016