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. ------------+----------------------------------- 2003 | 471 100.00 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 471 100.00 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 471 100.00 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 449 95.33 95.33 2 | 20 4.25 99.58 3 | 2 0.42 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for st_case variable in acc_aux dataset : st_case | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.21 0.21 430002 | 1 0.21 0.42 430003 | 1 0.21 0.64 430004 | 1 0.21 0.85 430005 | 1 0.21 1.06 430006 | 1 0.21 1.27 430007 | 1 0.21 1.49 430008 | 1 0.21 1.70 430009 | 1 0.21 1.91 430010 | 1 0.21 2.12 430011 | 1 0.21 2.34 430012 | 1 0.21 2.55 430013 | 1 0.21 2.76 430014 | 1 0.21 2.97 430015 | 1 0.21 3.18 430016 | 1 0.21 3.40 430017 | 1 0.21 3.61 430018 | 1 0.21 3.82 430019 | 1 0.21 4.03 430020 | 1 0.21 4.25 430021 | 1 0.21 4.46 430022 | 1 0.21 4.67 430023 | 1 0.21 4.88 430024 | 1 0.21 5.10 430025 | 1 0.21 5.31 430026 | 1 0.21 5.52 430027 | 1 0.21 5.73 430028 | 1 0.21 5.94 430029 | 1 0.21 6.16 430030 | 1 0.21 6.37 430031 | 1 0.21 6.58 430032 | 1 0.21 6.79 430033 | 1 0.21 7.01 430034 | 1 0.21 7.22 430035 | 1 0.21 7.43 430036 | 1 0.21 7.64 430037 | 1 0.21 7.86 430038 | 1 0.21 8.07 430039 | 1 0.21 8.28 430040 | 1 0.21 8.49 430041 | 1 0.21 8.70 430042 | 1 0.21 8.92 430043 | 1 0.21 9.13 430044 | 1 0.21 9.34 430045 | 1 0.21 9.55 430046 | 1 0.21 9.77 430047 | 1 0.21 9.98 430048 | 1 0.21 10.19 430049 | 1 0.21 10.40 430050 | 1 0.21 10.62 430051 | 1 0.21 10.83 430052 | 1 0.21 11.04 430053 | 1 0.21 11.25 430054 | 1 0.21 11.46 430055 | 1 0.21 11.68 430056 | 1 0.21 11.89 430057 | 1 0.21 12.10 430058 | 1 0.21 12.31 430059 | 1 0.21 12.53 430060 | 1 0.21 12.74 430061 | 1 0.21 12.95 430062 | 1 0.21 13.16 430063 | 1 0.21 13.38 430064 | 1 0.21 13.59 430065 | 1 0.21 13.80 430066 | 1 0.21 14.01 430067 | 1 0.21 14.23 430068 | 1 0.21 14.44 430069 | 1 0.21 14.65 430070 | 1 0.21 14.86 430071 | 1 0.21 15.07 430072 | 1 0.21 15.29 430073 | 1 0.21 15.50 430074 | 1 0.21 15.71 430075 | 1 0.21 15.92 430076 | 1 0.21 16.14 430077 | 1 0.21 16.35 430078 | 1 0.21 16.56 430079 | 1 0.21 16.77 430080 | 1 0.21 16.99 430081 | 1 0.21 17.20 430082 | 1 0.21 17.41 430083 | 1 0.21 17.62 430084 | 1 0.21 17.83 430085 | 1 0.21 18.05 430086 | 1 0.21 18.26 430087 | 1 0.21 18.47 430088 | 1 0.21 18.68 430089 | 1 0.21 18.90 430090 | 1 0.21 19.11 430091 | 1 0.21 19.32 430092 | 1 0.21 19.53 430093 | 1 0.21 19.75 430094 | 1 0.21 19.96 430095 | 1 0.21 20.17 430096 | 1 0.21 20.38 430097 | 1 0.21 20.59 430098 | 1 0.21 20.81 430099 | 1 0.21 21.02 430100 | 1 0.21 21.23 430101 | 1 0.21 21.44 430102 | 1 0.21 21.66 430103 | 1 0.21 21.87 430104 | 1 0.21 22.08 430105 | 1 0.21 22.29 430106 | 1 0.21 22.51 430107 | 1 0.21 22.72 430108 | 1 0.21 22.93 430109 | 1 0.21 23.14 430110 | 1 0.21 23.35 430111 | 1 0.21 23.57 430112 | 1 0.21 23.78 430113 | 1 0.21 23.99 430114 | 1 0.21 24.20 430115 | 1 0.21 24.42 430116 | 1 0.21 24.63 430117 | 1 0.21 24.84 430118 | 1 0.21 25.05 430119 | 1 0.21 25.27 430120 | 1 0.21 25.48 430121 | 1 0.21 25.69 430122 | 1 0.21 25.90 430123 | 1 0.21 26.11 430124 | 1 0.21 26.33 430125 | 1 0.21 26.54 430126 | 1 0.21 26.75 430127 | 1 0.21 26.96 430128 | 1 0.21 27.18 430129 | 1 0.21 27.39 430130 | 1 0.21 27.60 430131 | 1 0.21 27.81 430132 | 1 0.21 28.03 430133 | 1 0.21 28.24 430134 | 1 0.21 28.45 430135 | 1 0.21 28.66 430136 | 1 0.21 28.87 430137 | 1 0.21 29.09 430138 | 1 0.21 29.30 430139 | 1 0.21 29.51 430140 | 1 0.21 29.72 430141 | 1 0.21 29.94 430142 | 1 0.21 30.15 430143 | 1 0.21 30.36 430144 | 1 0.21 30.57 430145 | 1 0.21 30.79 430146 | 1 0.21 31.00 430147 | 1 0.21 31.21 430148 | 1 0.21 31.42 430149 | 1 0.21 31.63 430150 | 1 0.21 31.85 430151 | 1 0.21 32.06 430152 | 1 0.21 32.27 430153 | 1 0.21 32.48 430154 | 1 0.21 32.70 430155 | 1 0.21 32.91 430156 | 1 0.21 33.12 430157 | 1 0.21 33.33 430158 | 1 0.21 33.55 430159 | 1 0.21 33.76 430160 | 1 0.21 33.97 430161 | 1 0.21 34.18 430162 | 1 0.21 34.39 430164 | 1 0.21 34.61 430165 | 1 0.21 34.82 430166 | 1 0.21 35.03 430167 | 1 0.21 35.24 430168 | 1 0.21 35.46 430169 | 1 0.21 35.67 430170 | 1 0.21 35.88 430171 | 1 0.21 36.09 430172 | 1 0.21 36.31 430173 | 1 0.21 36.52 430174 | 1 0.21 36.73 430175 | 1 0.21 36.94 430176 | 1 0.21 37.15 430177 | 1 0.21 37.37 430178 | 1 0.21 37.58 430179 | 1 0.21 37.79 430180 | 1 0.21 38.00 430181 | 1 0.21 38.22 430182 | 1 0.21 38.43 430183 | 1 0.21 38.64 430184 | 1 0.21 38.85 430185 | 1 0.21 39.07 430186 | 1 0.21 39.28 430187 | 1 0.21 39.49 430188 | 1 0.21 39.70 430189 | 1 0.21 39.92 430190 | 1 0.21 40.13 430191 | 1 0.21 40.34 430192 | 1 0.21 40.55 430193 | 1 0.21 40.76 430194 | 1 0.21 40.98 430195 | 1 0.21 41.19 430196 | 1 0.21 41.40 430197 | 1 0.21 41.61 430198 | 1 0.21 41.83 430199 | 1 0.21 42.04 430200 | 1 0.21 42.25 430201 | 1 0.21 42.46 430202 | 1 0.21 42.68 430203 | 1 0.21 42.89 430204 | 1 0.21 43.10 430205 | 1 0.21 43.31 430206 | 1 0.21 43.52 430207 | 1 0.21 43.74 430208 | 1 0.21 43.95 430209 | 1 0.21 44.16 430210 | 1 0.21 44.37 430211 | 1 0.21 44.59 430212 | 1 0.21 44.80 430213 | 1 0.21 45.01 430214 | 1 0.21 45.22 430215 | 1 0.21 45.44 430216 | 1 0.21 45.65 430217 | 1 0.21 45.86 430218 | 1 0.21 46.07 430219 | 1 0.21 46.28 430220 | 1 0.21 46.50 430221 | 1 0.21 46.71 430222 | 1 0.21 46.92 430223 | 1 0.21 47.13 430224 | 1 0.21 47.35 430225 | 1 0.21 47.56 430226 | 1 0.21 47.77 430227 | 1 0.21 47.98 430228 | 1 0.21 48.20 430229 | 1 0.21 48.41 430230 | 1 0.21 48.62 430231 | 1 0.21 48.83 430232 | 1 0.21 49.04 430233 | 1 0.21 49.26 430234 | 1 0.21 49.47 430235 | 1 0.21 49.68 430236 | 1 0.21 49.89 430237 | 1 0.21 50.11 430238 | 1 0.21 50.32 430239 | 1 0.21 50.53 430240 | 1 0.21 50.74 430241 | 1 0.21 50.96 430242 | 1 0.21 51.17 430243 | 1 0.21 51.38 430244 | 1 0.21 51.59 430245 | 1 0.21 51.80 430246 | 1 0.21 52.02 430247 | 1 0.21 52.23 430248 | 1 0.21 52.44 430249 | 1 0.21 52.65 430250 | 1 0.21 52.87 430251 | 1 0.21 53.08 430252 | 1 0.21 53.29 430253 | 1 0.21 53.50 430254 | 1 0.21 53.72 430255 | 1 0.21 53.93 430256 | 1 0.21 54.14 430257 | 1 0.21 54.35 430258 | 1 0.21 54.56 430259 | 1 0.21 54.78 430260 | 1 0.21 54.99 430261 | 1 0.21 55.20 430262 | 1 0.21 55.41 430263 | 1 0.21 55.63 430264 | 1 0.21 55.84 430265 | 1 0.21 56.05 430266 | 1 0.21 56.26 430267 | 1 0.21 56.48 430268 | 1 0.21 56.69 430269 | 1 0.21 56.90 430270 | 1 0.21 57.11 430271 | 1 0.21 57.32 430272 | 1 0.21 57.54 430273 | 1 0.21 57.75 430274 | 1 0.21 57.96 430275 | 1 0.21 58.17 430276 | 1 0.21 58.39 430277 | 1 0.21 58.60 430278 | 1 0.21 58.81 430279 | 1 0.21 59.02 430280 | 1 0.21 59.24 430281 | 1 0.21 59.45 430282 | 1 0.21 59.66 430283 | 1 0.21 59.87 430284 | 1 0.21 60.08 430285 | 1 0.21 60.30 430286 | 1 0.21 60.51 430287 | 1 0.21 60.72 430288 | 1 0.21 60.93 430289 | 1 0.21 61.15 430290 | 1 0.21 61.36 430291 | 1 0.21 61.57 430292 | 1 0.21 61.78 430293 | 1 0.21 62.00 430294 | 1 0.21 62.21 430295 | 1 0.21 62.42 430296 | 1 0.21 62.63 430297 | 1 0.21 62.85 430298 | 1 0.21 63.06 430299 | 1 0.21 63.27 430300 | 1 0.21 63.48 430301 | 1 0.21 63.69 430302 | 1 0.21 63.91 430303 | 1 0.21 64.12 430304 | 1 0.21 64.33 430305 | 1 0.21 64.54 430306 | 1 0.21 64.76 430307 | 1 0.21 64.97 430308 | 1 0.21 65.18 430309 | 1 0.21 65.39 430310 | 1 0.21 65.61 430311 | 1 0.21 65.82 430312 | 1 0.21 66.03 430313 | 1 0.21 66.24 430314 | 1 0.21 66.45 430315 | 1 0.21 66.67 430316 | 1 0.21 66.88 430317 | 1 0.21 67.09 430318 | 1 0.21 67.30 430319 | 1 0.21 67.52 430320 | 1 0.21 67.73 430321 | 1 0.21 67.94 430322 | 1 0.21 68.15 430323 | 1 0.21 68.37 430324 | 1 0.21 68.58 430325 | 1 0.21 68.79 430326 | 1 0.21 69.00 430327 | 1 0.21 69.21 430328 | 1 0.21 69.43 430329 | 1 0.21 69.64 430330 | 1 0.21 69.85 430331 | 1 0.21 70.06 430332 | 1 0.21 70.28 430333 | 1 0.21 70.49 430334 | 1 0.21 70.70 430335 | 1 0.21 70.91 430336 | 1 0.21 71.13 430337 | 1 0.21 71.34 430338 | 1 0.21 71.55 430339 | 1 0.21 71.76 430340 | 1 0.21 71.97 430341 | 1 0.21 72.19 430342 | 1 0.21 72.40 430343 | 1 0.21 72.61 430344 | 1 0.21 72.82 430345 | 1 0.21 73.04 430346 | 1 0.21 73.25 430347 | 1 0.21 73.46 430348 | 1 0.21 73.67 430349 | 1 0.21 73.89 430350 | 1 0.21 74.10 430351 | 1 0.21 74.31 430352 | 1 0.21 74.52 430353 | 1 0.21 74.73 430354 | 1 0.21 74.95 430355 | 1 0.21 75.16 430356 | 1 0.21 75.37 430357 | 1 0.21 75.58 430358 | 1 0.21 75.80 430359 | 1 0.21 76.01 430360 | 1 0.21 76.22 430361 | 1 0.21 76.43 430362 | 1 0.21 76.65 430363 | 1 0.21 76.86 430364 | 1 0.21 77.07 430365 | 1 0.21 77.28 430366 | 1 0.21 77.49 430367 | 1 0.21 77.71 430368 | 1 0.21 77.92 430369 | 1 0.21 78.13 430370 | 1 0.21 78.34 430371 | 1 0.21 78.56 430372 | 1 0.21 78.77 430373 | 1 0.21 78.98 430374 | 1 0.21 79.19 430375 | 1 0.21 79.41 430376 | 1 0.21 79.62 430377 | 1 0.21 79.83 430378 | 1 0.21 80.04 430379 | 1 0.21 80.25 430380 | 1 0.21 80.47 430381 | 1 0.21 80.68 430382 | 1 0.21 80.89 430383 | 1 0.21 81.10 430384 | 1 0.21 81.32 430385 | 1 0.21 81.53 430386 | 1 0.21 81.74 430387 | 1 0.21 81.95 430388 | 1 0.21 82.17 430389 | 1 0.21 82.38 430390 | 1 0.21 82.59 430391 | 1 0.21 82.80 430392 | 1 0.21 83.01 430393 | 1 0.21 83.23 430394 | 1 0.21 83.44 430395 | 1 0.21 83.65 430396 | 1 0.21 83.86 430397 | 1 0.21 84.08 430398 | 1 0.21 84.29 430399 | 1 0.21 84.50 430400 | 1 0.21 84.71 430401 | 1 0.21 84.93 430402 | 1 0.21 85.14 430403 | 1 0.21 85.35 430404 | 1 0.21 85.56 430405 | 1 0.21 85.77 430406 | 1 0.21 85.99 430407 | 1 0.21 86.20 430408 | 1 0.21 86.41 430409 | 1 0.21 86.62 430410 | 1 0.21 86.84 430411 | 1 0.21 87.05 430412 | 1 0.21 87.26 430413 | 1 0.21 87.47 430414 | 1 0.21 87.69 430415 | 1 0.21 87.90 430416 | 1 0.21 88.11 430417 | 1 0.21 88.32 430418 | 1 0.21 88.54 430419 | 1 0.21 88.75 430420 | 1 0.21 88.96 430421 | 1 0.21 89.17 430422 | 1 0.21 89.38 430423 | 1 0.21 89.60 430424 | 1 0.21 89.81 430425 | 1 0.21 90.02 430426 | 1 0.21 90.23 430427 | 1 0.21 90.45 430428 | 1 0.21 90.66 430429 | 1 0.21 90.87 430430 | 1 0.21 91.08 430431 | 1 0.21 91.30 430432 | 1 0.21 91.51 430433 | 1 0.21 91.72 430434 | 1 0.21 91.93 430435 | 1 0.21 92.14 430436 | 1 0.21 92.36 430437 | 1 0.21 92.57 430438 | 1 0.21 92.78 430439 | 1 0.21 92.99 430440 | 1 0.21 93.21 430441 | 1 0.21 93.42 430442 | 1 0.21 93.63 430443 | 1 0.21 93.84 430444 | 1 0.21 94.06 430445 | 1 0.21 94.27 430446 | 1 0.21 94.48 430447 | 1 0.21 94.69 430448 | 1 0.21 94.90 430449 | 1 0.21 95.12 430450 | 1 0.21 95.33 430451 | 1 0.21 95.54 430452 | 1 0.21 95.75 430453 | 1 0.21 95.97 430454 | 1 0.21 96.18 430455 | 1 0.21 96.39 430456 | 1 0.21 96.60 430457 | 1 0.21 96.82 430458 | 1 0.21 97.03 430459 | 1 0.21 97.24 430460 | 1 0.21 97.45 430461 | 1 0.21 97.66 430462 | 1 0.21 97.88 430463 | 1 0.21 98.09 430464 | 1 0.21 98.30 430465 | 1 0.21 98.51 430466 | 1 0.21 98.73 430467 | 1 0.21 98.94 430468 | 1 0.21 99.15 430469 | 1 0.21 99.36 430470 | 1 0.21 99.58 430471 | 1 0.21 99.79 430472 | 1 0.21 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 471 100.00 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 471 100.00 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 224 47.56 47.56 2 | 247 52.44 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 80 16.99 16.99 2 | 391 83.01 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 318 67.52 67.52 2 | 10 2.12 69.64 3 | 9 1.91 71.55 4 | 134 28.45 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 41 8.70 8.70 2 | 430 91.30 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 80 16.99 16.99 2 | 13 2.76 19.75 3 | 77 16.35 36.09 4 | 108 22.93 59.02 5 | 145 30.79 89.81 6 | 48 10.19 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 41 8.70 8.70 2 | 430 91.30 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 323 68.58 68.58 2 | 25 5.31 73.89 3 | 42 8.92 82.80 4 | 60 12.74 95.54 5 | 21 4.46 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 471 100.00 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 168 35.67 35.67 2 | 303 64.33 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 232 49.26 49.26 2 | 239 50.74 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 38 8.07 8.07 2 | 433 91.93 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 319 67.73 67.73 2 | 131 27.81 95.54 3 | 21 4.46 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 26 5.52 5.52 2 | 445 94.48 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 56 11.89 11.89 2 | 415 88.11 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 215 45.65 45.65 2 | 256 54.35 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 149 31.63 31.63 2 | 322 68.37 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 14 2.97 2.97 2 | 457 97.03 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 39 8.28 8.28 2 | 432 91.72 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 471 100.00 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 147 31.21 31.21 2 | 170 36.09 67.30 3 | 154 32.70 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 45 9.55 9.55 2 | 426 90.45 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 45 9.55 9.55 2 | 426 90.45 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 63 13.38 13.38 2 | 408 86.62 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 63 13.38 13.38 2 | 408 86.62 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 34 7.22 7.22 2 | 437 92.78 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 98 20.81 20.81 2 | 373 79.19 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 157 33.33 33.33 2 | 314 66.67 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 3 0.64 0.64 2 | 468 99.36 100.00 ------------+----------------------------------- Total | 471 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 4 0.85 0.85 2 | 467 99.15 100.00 ------------+----------------------------------- Total | 471 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016