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. ------------+----------------------------------- 2002 | 492 100.00 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 492 100.00 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 492 100.00 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 469 95.33 95.33 2 | 20 4.07 99.39 3 | 3 0.61 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for st_case variable in acc_aux dataset : st_case | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.20 0.20 430002 | 1 0.20 0.41 430003 | 1 0.20 0.61 430004 | 1 0.20 0.81 430005 | 1 0.20 1.02 430006 | 1 0.20 1.22 430007 | 1 0.20 1.42 430008 | 1 0.20 1.63 430009 | 1 0.20 1.83 430010 | 1 0.20 2.03 430011 | 1 0.20 2.24 430012 | 1 0.20 2.44 430013 | 1 0.20 2.64 430014 | 1 0.20 2.85 430015 | 1 0.20 3.05 430016 | 1 0.20 3.25 430017 | 1 0.20 3.46 430018 | 1 0.20 3.66 430019 | 1 0.20 3.86 430020 | 1 0.20 4.07 430021 | 1 0.20 4.27 430022 | 1 0.20 4.47 430023 | 1 0.20 4.67 430024 | 1 0.20 4.88 430025 | 1 0.20 5.08 430026 | 1 0.20 5.28 430027 | 1 0.20 5.49 430028 | 1 0.20 5.69 430029 | 1 0.20 5.89 430030 | 1 0.20 6.10 430031 | 1 0.20 6.30 430032 | 1 0.20 6.50 430033 | 1 0.20 6.71 430034 | 1 0.20 6.91 430035 | 1 0.20 7.11 430036 | 1 0.20 7.32 430037 | 1 0.20 7.52 430038 | 1 0.20 7.72 430039 | 1 0.20 7.93 430040 | 1 0.20 8.13 430041 | 1 0.20 8.33 430042 | 1 0.20 8.54 430043 | 1 0.20 8.74 430044 | 1 0.20 8.94 430045 | 1 0.20 9.15 430046 | 1 0.20 9.35 430047 | 1 0.20 9.55 430048 | 1 0.20 9.76 430049 | 1 0.20 9.96 430050 | 1 0.20 10.16 430051 | 1 0.20 10.37 430052 | 1 0.20 10.57 430053 | 1 0.20 10.77 430054 | 1 0.20 10.98 430055 | 1 0.20 11.18 430056 | 1 0.20 11.38 430057 | 1 0.20 11.59 430058 | 1 0.20 11.79 430059 | 1 0.20 11.99 430060 | 1 0.20 12.20 430061 | 1 0.20 12.40 430062 | 1 0.20 12.60 430063 | 1 0.20 12.80 430064 | 1 0.20 13.01 430065 | 1 0.20 13.21 430066 | 1 0.20 13.41 430067 | 1 0.20 13.62 430068 | 1 0.20 13.82 430069 | 1 0.20 14.02 430070 | 1 0.20 14.23 430071 | 1 0.20 14.43 430072 | 1 0.20 14.63 430073 | 1 0.20 14.84 430074 | 1 0.20 15.04 430075 | 1 0.20 15.24 430076 | 1 0.20 15.45 430077 | 1 0.20 15.65 430078 | 1 0.20 15.85 430079 | 1 0.20 16.06 430080 | 1 0.20 16.26 430081 | 1 0.20 16.46 430082 | 1 0.20 16.67 430083 | 1 0.20 16.87 430084 | 1 0.20 17.07 430085 | 1 0.20 17.28 430086 | 1 0.20 17.48 430087 | 1 0.20 17.68 430088 | 1 0.20 17.89 430089 | 1 0.20 18.09 430090 | 1 0.20 18.29 430091 | 1 0.20 18.50 430092 | 1 0.20 18.70 430093 | 1 0.20 18.90 430094 | 1 0.20 19.11 430095 | 1 0.20 19.31 430096 | 1 0.20 19.51 430097 | 1 0.20 19.72 430098 | 1 0.20 19.92 430099 | 1 0.20 20.12 430100 | 1 0.20 20.33 430101 | 1 0.20 20.53 430102 | 1 0.20 20.73 430103 | 1 0.20 20.93 430104 | 1 0.20 21.14 430105 | 1 0.20 21.34 430106 | 1 0.20 21.54 430107 | 1 0.20 21.75 430108 | 1 0.20 21.95 430109 | 1 0.20 22.15 430110 | 1 0.20 22.36 430111 | 1 0.20 22.56 430112 | 1 0.20 22.76 430113 | 1 0.20 22.97 430114 | 1 0.20 23.17 430115 | 1 0.20 23.37 430116 | 1 0.20 23.58 430117 | 1 0.20 23.78 430118 | 1 0.20 23.98 430119 | 1 0.20 24.19 430120 | 1 0.20 24.39 430121 | 1 0.20 24.59 430122 | 1 0.20 24.80 430123 | 1 0.20 25.00 430124 | 1 0.20 25.20 430125 | 1 0.20 25.41 430126 | 1 0.20 25.61 430127 | 1 0.20 25.81 430128 | 1 0.20 26.02 430129 | 1 0.20 26.22 430130 | 1 0.20 26.42 430131 | 1 0.20 26.63 430132 | 1 0.20 26.83 430133 | 1 0.20 27.03 430134 | 1 0.20 27.24 430135 | 1 0.20 27.44 430136 | 1 0.20 27.64 430137 | 1 0.20 27.85 430138 | 1 0.20 28.05 430139 | 1 0.20 28.25 430140 | 1 0.20 28.46 430141 | 1 0.20 28.66 430142 | 1 0.20 28.86 430143 | 1 0.20 29.07 430144 | 1 0.20 29.27 430145 | 1 0.20 29.47 430146 | 1 0.20 29.67 430147 | 1 0.20 29.88 430148 | 1 0.20 30.08 430149 | 1 0.20 30.28 430150 | 1 0.20 30.49 430151 | 1 0.20 30.69 430152 | 1 0.20 30.89 430153 | 1 0.20 31.10 430154 | 1 0.20 31.30 430155 | 1 0.20 31.50 430156 | 1 0.20 31.71 430157 | 1 0.20 31.91 430158 | 1 0.20 32.11 430159 | 1 0.20 32.32 430160 | 1 0.20 32.52 430161 | 1 0.20 32.72 430162 | 1 0.20 32.93 430163 | 1 0.20 33.13 430164 | 1 0.20 33.33 430165 | 1 0.20 33.54 430166 | 1 0.20 33.74 430167 | 1 0.20 33.94 430168 | 1 0.20 34.15 430169 | 1 0.20 34.35 430170 | 1 0.20 34.55 430171 | 1 0.20 34.76 430172 | 1 0.20 34.96 430173 | 1 0.20 35.16 430174 | 1 0.20 35.37 430175 | 1 0.20 35.57 430176 | 1 0.20 35.77 430177 | 1 0.20 35.98 430178 | 1 0.20 36.18 430179 | 1 0.20 36.38 430180 | 1 0.20 36.59 430181 | 1 0.20 36.79 430182 | 1 0.20 36.99 430183 | 1 0.20 37.20 430184 | 1 0.20 37.40 430185 | 1 0.20 37.60 430186 | 1 0.20 37.80 430187 | 1 0.20 38.01 430188 | 1 0.20 38.21 430189 | 1 0.20 38.41 430190 | 1 0.20 38.62 430191 | 1 0.20 38.82 430192 | 1 0.20 39.02 430193 | 1 0.20 39.23 430194 | 1 0.20 39.43 430195 | 1 0.20 39.63 430196 | 1 0.20 39.84 430197 | 1 0.20 40.04 430198 | 1 0.20 40.24 430199 | 1 0.20 40.45 430200 | 1 0.20 40.65 430201 | 1 0.20 40.85 430202 | 1 0.20 41.06 430203 | 1 0.20 41.26 430204 | 1 0.20 41.46 430205 | 1 0.20 41.67 430206 | 1 0.20 41.87 430207 | 1 0.20 42.07 430208 | 1 0.20 42.28 430209 | 1 0.20 42.48 430210 | 1 0.20 42.68 430211 | 1 0.20 42.89 430212 | 1 0.20 43.09 430213 | 1 0.20 43.29 430214 | 1 0.20 43.50 430215 | 1 0.20 43.70 430216 | 1 0.20 43.90 430217 | 1 0.20 44.11 430218 | 1 0.20 44.31 430219 | 1 0.20 44.51 430220 | 1 0.20 44.72 430221 | 1 0.20 44.92 430222 | 1 0.20 45.12 430223 | 1 0.20 45.33 430224 | 1 0.20 45.53 430225 | 1 0.20 45.73 430226 | 1 0.20 45.93 430227 | 1 0.20 46.14 430228 | 1 0.20 46.34 430229 | 1 0.20 46.54 430230 | 1 0.20 46.75 430231 | 1 0.20 46.95 430232 | 1 0.20 47.15 430233 | 1 0.20 47.36 430234 | 1 0.20 47.56 430235 | 1 0.20 47.76 430236 | 1 0.20 47.97 430237 | 1 0.20 48.17 430238 | 1 0.20 48.37 430239 | 1 0.20 48.58 430240 | 1 0.20 48.78 430241 | 1 0.20 48.98 430242 | 1 0.20 49.19 430243 | 1 0.20 49.39 430244 | 1 0.20 49.59 430245 | 1 0.20 49.80 430247 | 1 0.20 50.00 430248 | 1 0.20 50.20 430249 | 1 0.20 50.41 430250 | 1 0.20 50.61 430251 | 1 0.20 50.81 430252 | 1 0.20 51.02 430253 | 1 0.20 51.22 430254 | 1 0.20 51.42 430255 | 1 0.20 51.63 430256 | 1 0.20 51.83 430257 | 1 0.20 52.03 430258 | 1 0.20 52.24 430259 | 1 0.20 52.44 430260 | 1 0.20 52.64 430261 | 1 0.20 52.85 430262 | 1 0.20 53.05 430263 | 1 0.20 53.25 430264 | 1 0.20 53.46 430265 | 1 0.20 53.66 430266 | 1 0.20 53.86 430267 | 1 0.20 54.07 430268 | 1 0.20 54.27 430269 | 1 0.20 54.47 430270 | 1 0.20 54.67 430271 | 1 0.20 54.88 430272 | 1 0.20 55.08 430273 | 1 0.20 55.28 430274 | 1 0.20 55.49 430275 | 1 0.20 55.69 430276 | 1 0.20 55.89 430277 | 1 0.20 56.10 430278 | 1 0.20 56.30 430279 | 1 0.20 56.50 430280 | 1 0.20 56.71 430281 | 1 0.20 56.91 430282 | 1 0.20 57.11 430283 | 1 0.20 57.32 430284 | 1 0.20 57.52 430285 | 1 0.20 57.72 430286 | 1 0.20 57.93 430287 | 1 0.20 58.13 430288 | 1 0.20 58.33 430289 | 1 0.20 58.54 430290 | 1 0.20 58.74 430291 | 1 0.20 58.94 430292 | 1 0.20 59.15 430293 | 1 0.20 59.35 430294 | 1 0.20 59.55 430295 | 1 0.20 59.76 430296 | 1 0.20 59.96 430297 | 1 0.20 60.16 430298 | 1 0.20 60.37 430299 | 1 0.20 60.57 430300 | 1 0.20 60.77 430301 | 1 0.20 60.98 430302 | 1 0.20 61.18 430303 | 1 0.20 61.38 430304 | 1 0.20 61.59 430305 | 1 0.20 61.79 430306 | 1 0.20 61.99 430307 | 1 0.20 62.20 430308 | 1 0.20 62.40 430309 | 1 0.20 62.60 430310 | 1 0.20 62.80 430311 | 1 0.20 63.01 430312 | 1 0.20 63.21 430313 | 1 0.20 63.41 430315 | 1 0.20 63.62 430316 | 1 0.20 63.82 430317 | 1 0.20 64.02 430318 | 1 0.20 64.23 430319 | 1 0.20 64.43 430320 | 1 0.20 64.63 430321 | 1 0.20 64.84 430322 | 1 0.20 65.04 430323 | 1 0.20 65.24 430324 | 1 0.20 65.45 430325 | 1 0.20 65.65 430326 | 1 0.20 65.85 430327 | 1 0.20 66.06 430328 | 1 0.20 66.26 430329 | 1 0.20 66.46 430330 | 1 0.20 66.67 430331 | 1 0.20 66.87 430332 | 1 0.20 67.07 430333 | 1 0.20 67.28 430334 | 1 0.20 67.48 430335 | 1 0.20 67.68 430336 | 1 0.20 67.89 430337 | 1 0.20 68.09 430338 | 1 0.20 68.29 430339 | 1 0.20 68.50 430340 | 1 0.20 68.70 430341 | 1 0.20 68.90 430342 | 1 0.20 69.11 430343 | 1 0.20 69.31 430344 | 1 0.20 69.51 430345 | 1 0.20 69.72 430346 | 1 0.20 69.92 430347 | 1 0.20 70.12 430348 | 1 0.20 70.33 430349 | 1 0.20 70.53 430350 | 1 0.20 70.73 430351 | 1 0.20 70.93 430352 | 1 0.20 71.14 430353 | 1 0.20 71.34 430354 | 1 0.20 71.54 430355 | 1 0.20 71.75 430356 | 1 0.20 71.95 430357 | 1 0.20 72.15 430358 | 1 0.20 72.36 430359 | 1 0.20 72.56 430360 | 1 0.20 72.76 430361 | 1 0.20 72.97 430362 | 1 0.20 73.17 430363 | 1 0.20 73.37 430364 | 1 0.20 73.58 430365 | 1 0.20 73.78 430366 | 1 0.20 73.98 430367 | 1 0.20 74.19 430368 | 1 0.20 74.39 430369 | 1 0.20 74.59 430370 | 1 0.20 74.80 430371 | 1 0.20 75.00 430372 | 1 0.20 75.20 430373 | 1 0.20 75.41 430374 | 1 0.20 75.61 430375 | 1 0.20 75.81 430376 | 1 0.20 76.02 430377 | 1 0.20 76.22 430378 | 1 0.20 76.42 430379 | 1 0.20 76.63 430380 | 1 0.20 76.83 430381 | 1 0.20 77.03 430382 | 1 0.20 77.24 430383 | 1 0.20 77.44 430384 | 1 0.20 77.64 430385 | 1 0.20 77.85 430386 | 1 0.20 78.05 430387 | 1 0.20 78.25 430388 | 1 0.20 78.46 430389 | 1 0.20 78.66 430390 | 1 0.20 78.86 430391 | 1 0.20 79.07 430392 | 1 0.20 79.27 430393 | 1 0.20 79.47 430394 | 1 0.20 79.67 430395 | 1 0.20 79.88 430396 | 1 0.20 80.08 430397 | 1 0.20 80.28 430398 | 1 0.20 80.49 430399 | 1 0.20 80.69 430400 | 1 0.20 80.89 430401 | 1 0.20 81.10 430402 | 1 0.20 81.30 430403 | 1 0.20 81.50 430404 | 1 0.20 81.71 430405 | 1 0.20 81.91 430406 | 1 0.20 82.11 430407 | 1 0.20 82.32 430408 | 1 0.20 82.52 430409 | 1 0.20 82.72 430410 | 1 0.20 82.93 430411 | 1 0.20 83.13 430412 | 1 0.20 83.33 430413 | 1 0.20 83.54 430414 | 1 0.20 83.74 430415 | 1 0.20 83.94 430416 | 1 0.20 84.15 430417 | 1 0.20 84.35 430418 | 1 0.20 84.55 430419 | 1 0.20 84.76 430420 | 1 0.20 84.96 430421 | 1 0.20 85.16 430422 | 1 0.20 85.37 430423 | 1 0.20 85.57 430424 | 1 0.20 85.77 430425 | 1 0.20 85.98 430426 | 1 0.20 86.18 430427 | 1 0.20 86.38 430428 | 1 0.20 86.59 430429 | 1 0.20 86.79 430430 | 1 0.20 86.99 430431 | 1 0.20 87.20 430432 | 1 0.20 87.40 430433 | 1 0.20 87.60 430434 | 1 0.20 87.80 430435 | 1 0.20 88.01 430436 | 1 0.20 88.21 430437 | 1 0.20 88.41 430438 | 1 0.20 88.62 430439 | 1 0.20 88.82 430440 | 1 0.20 89.02 430441 | 1 0.20 89.23 430442 | 1 0.20 89.43 430443 | 1 0.20 89.63 430444 | 1 0.20 89.84 430445 | 1 0.20 90.04 430446 | 1 0.20 90.24 430447 | 1 0.20 90.45 430448 | 1 0.20 90.65 430449 | 1 0.20 90.85 430450 | 1 0.20 91.06 430451 | 1 0.20 91.26 430452 | 1 0.20 91.46 430453 | 1 0.20 91.67 430454 | 1 0.20 91.87 430455 | 1 0.20 92.07 430456 | 1 0.20 92.28 430457 | 1 0.20 92.48 430458 | 1 0.20 92.68 430459 | 1 0.20 92.89 430460 | 1 0.20 93.09 430461 | 1 0.20 93.29 430462 | 1 0.20 93.50 430463 | 1 0.20 93.70 430464 | 1 0.20 93.90 430465 | 1 0.20 94.11 430466 | 1 0.20 94.31 430467 | 1 0.20 94.51 430468 | 1 0.20 94.72 430469 | 1 0.20 94.92 430470 | 1 0.20 95.12 430471 | 1 0.20 95.33 430472 | 1 0.20 95.53 430473 | 1 0.20 95.73 430474 | 1 0.20 95.93 430475 | 1 0.20 96.14 430476 | 1 0.20 96.34 430477 | 1 0.20 96.54 430478 | 1 0.20 96.75 430479 | 1 0.20 96.95 430480 | 1 0.20 97.15 430481 | 1 0.20 97.36 430482 | 1 0.20 97.56 430483 | 1 0.20 97.76 430484 | 1 0.20 97.97 430485 | 1 0.20 98.17 430486 | 1 0.20 98.37 430487 | 1 0.20 98.58 430488 | 1 0.20 98.78 430489 | 1 0.20 98.98 430490 | 1 0.20 99.19 430491 | 1 0.20 99.39 430492 | 1 0.20 99.59 430493 | 1 0.20 99.80 430494 | 1 0.20 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 492 100.00 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 492 100.00 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 243 49.39 49.39 2 | 249 50.61 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 93 18.90 18.90 2 | 399 81.10 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 320 65.04 65.04 2 | 16 3.25 68.29 3 | 17 3.46 71.75 4 | 139 28.25 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 19 3.86 3.86 2 | 473 96.14 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 93 18.90 18.90 2 | 10 2.03 20.93 3 | 73 14.84 35.77 4 | 102 20.73 56.50 5 | 141 28.66 85.16 6 | 73 14.84 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 19 3.86 3.86 2 | 473 96.14 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 343 69.72 69.72 2 | 27 5.49 75.20 3 | 58 11.79 86.99 4 | 52 10.57 97.56 5 | 10 2.03 99.59 6 | 2 0.41 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 492 100.00 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 177 35.98 35.98 2 | 315 64.02 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 242 49.19 49.19 2 | 250 50.81 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 46 9.35 9.35 2 | 446 90.65 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 338 68.70 68.70 2 | 138 28.05 96.75 3 | 16 3.25 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 35 7.11 7.11 2 | 457 92.89 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 61 12.40 12.40 2 | 431 87.60 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 234 47.56 47.56 2 | 258 52.44 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 175 35.57 35.57 2 | 317 64.43 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 16 3.25 3.25 2 | 476 96.75 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 25 5.08 5.08 2 | 467 94.92 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 492 100.00 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 125 25.41 25.41 2 | 202 41.06 66.46 3 | 165 33.54 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 61 12.40 12.40 2 | 431 87.60 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 59 11.99 11.99 2 | 433 88.01 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 90 18.29 18.29 2 | 402 81.71 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 88 17.89 17.89 2 | 404 82.11 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 28 5.69 5.69 2 | 464 94.31 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 106 21.54 21.54 2 | 386 78.46 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 185 37.60 37.60 2 | 307 62.40 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 492 100.00 100.00 ------------+----------------------------------- Total | 492 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 3 0.61 0.61 2 | 489 99.39 100.00 ------------+----------------------------------- Total | 492 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016