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. ------------+----------------------------------- 1990 | 447 100.00 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for state variable in acc_aux dataset : State | Freq. Percent Cum. ------------+----------------------------------- 43 | 447 100.00 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for county variable in acc_aux dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 447 100.00 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for fatals variable in acc_aux dataset : Accident | Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 428 95.75 95.75 2 | 15 3.36 99.11 3 | 3 0.67 99.78 6 | 1 0.22 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for st_case variable in acc_aux dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.22 0.22 430002 | 1 0.22 0.45 430003 | 1 0.22 0.67 430004 | 1 0.22 0.89 430005 | 1 0.22 1.12 430006 | 1 0.22 1.34 430007 | 1 0.22 1.57 430008 | 1 0.22 1.79 430009 | 1 0.22 2.01 430010 | 1 0.22 2.24 430011 | 1 0.22 2.46 430012 | 1 0.22 2.68 430013 | 1 0.22 2.91 430014 | 1 0.22 3.13 430015 | 1 0.22 3.36 430016 | 1 0.22 3.58 430017 | 1 0.22 3.80 430018 | 1 0.22 4.03 430019 | 1 0.22 4.25 430020 | 1 0.22 4.47 430021 | 1 0.22 4.70 430022 | 1 0.22 4.92 430023 | 1 0.22 5.15 430024 | 1 0.22 5.37 430025 | 1 0.22 5.59 430026 | 1 0.22 5.82 430027 | 1 0.22 6.04 430028 | 1 0.22 6.26 430029 | 1 0.22 6.49 430030 | 1 0.22 6.71 430031 | 1 0.22 6.94 430032 | 1 0.22 7.16 430033 | 1 0.22 7.38 430034 | 1 0.22 7.61 430035 | 1 0.22 7.83 430036 | 1 0.22 8.05 430037 | 1 0.22 8.28 430038 | 1 0.22 8.50 430039 | 1 0.22 8.72 430040 | 1 0.22 8.95 430041 | 1 0.22 9.17 430042 | 1 0.22 9.40 430043 | 1 0.22 9.62 430044 | 1 0.22 9.84 430045 | 1 0.22 10.07 430046 | 1 0.22 10.29 430047 | 1 0.22 10.51 430048 | 1 0.22 10.74 430049 | 1 0.22 10.96 430050 | 1 0.22 11.19 430051 | 1 0.22 11.41 430052 | 1 0.22 11.63 430053 | 1 0.22 11.86 430054 | 1 0.22 12.08 430055 | 1 0.22 12.30 430056 | 1 0.22 12.53 430057 | 1 0.22 12.75 430058 | 1 0.22 12.98 430059 | 1 0.22 13.20 430060 | 1 0.22 13.42 430061 | 1 0.22 13.65 430062 | 1 0.22 13.87 430063 | 1 0.22 14.09 430064 | 1 0.22 14.32 430065 | 1 0.22 14.54 430066 | 1 0.22 14.77 430067 | 1 0.22 14.99 430068 | 1 0.22 15.21 430069 | 1 0.22 15.44 430070 | 1 0.22 15.66 430071 | 1 0.22 15.88 430072 | 1 0.22 16.11 430073 | 1 0.22 16.33 430074 | 1 0.22 16.55 430075 | 1 0.22 16.78 430076 | 1 0.22 17.00 430077 | 1 0.22 17.23 430078 | 1 0.22 17.45 430079 | 1 0.22 17.67 430080 | 1 0.22 17.90 430081 | 1 0.22 18.12 430082 | 1 0.22 18.34 430083 | 1 0.22 18.57 430084 | 1 0.22 18.79 430085 | 1 0.22 19.02 430086 | 1 0.22 19.24 430087 | 1 0.22 19.46 430088 | 1 0.22 19.69 430089 | 1 0.22 19.91 430090 | 1 0.22 20.13 430091 | 1 0.22 20.36 430092 | 1 0.22 20.58 430093 | 1 0.22 20.81 430094 | 1 0.22 21.03 430095 | 1 0.22 21.25 430096 | 1 0.22 21.48 430097 | 1 0.22 21.70 430098 | 1 0.22 21.92 430099 | 1 0.22 22.15 430100 | 1 0.22 22.37 430101 | 1 0.22 22.60 430102 | 1 0.22 22.82 430103 | 1 0.22 23.04 430104 | 1 0.22 23.27 430105 | 1 0.22 23.49 430106 | 1 0.22 23.71 430107 | 1 0.22 23.94 430108 | 1 0.22 24.16 430109 | 1 0.22 24.38 430110 | 1 0.22 24.61 430111 | 1 0.22 24.83 430112 | 1 0.22 25.06 430113 | 1 0.22 25.28 430114 | 1 0.22 25.50 430115 | 1 0.22 25.73 430116 | 1 0.22 25.95 430117 | 1 0.22 26.17 430118 | 1 0.22 26.40 430119 | 1 0.22 26.62 430120 | 1 0.22 26.85 430121 | 1 0.22 27.07 430122 | 1 0.22 27.29 430123 | 1 0.22 27.52 430124 | 1 0.22 27.74 430125 | 1 0.22 27.96 430126 | 1 0.22 28.19 430127 | 1 0.22 28.41 430128 | 1 0.22 28.64 430129 | 1 0.22 28.86 430130 | 1 0.22 29.08 430131 | 1 0.22 29.31 430132 | 1 0.22 29.53 430133 | 1 0.22 29.75 430134 | 1 0.22 29.98 430135 | 1 0.22 30.20 430136 | 1 0.22 30.43 430137 | 1 0.22 30.65 430138 | 1 0.22 30.87 430139 | 1 0.22 31.10 430140 | 1 0.22 31.32 430141 | 1 0.22 31.54 430142 | 1 0.22 31.77 430143 | 1 0.22 31.99 430144 | 1 0.22 32.21 430145 | 1 0.22 32.44 430146 | 1 0.22 32.66 430148 | 1 0.22 32.89 430149 | 1 0.22 33.11 430150 | 1 0.22 33.33 430151 | 1 0.22 33.56 430152 | 1 0.22 33.78 430153 | 1 0.22 34.00 430154 | 1 0.22 34.23 430155 | 1 0.22 34.45 430156 | 1 0.22 34.68 430157 | 1 0.22 34.90 430158 | 1 0.22 35.12 430159 | 1 0.22 35.35 430160 | 1 0.22 35.57 430161 | 1 0.22 35.79 430162 | 1 0.22 36.02 430163 | 1 0.22 36.24 430164 | 1 0.22 36.47 430165 | 1 0.22 36.69 430166 | 1 0.22 36.91 430167 | 1 0.22 37.14 430168 | 1 0.22 37.36 430169 | 1 0.22 37.58 430170 | 1 0.22 37.81 430171 | 1 0.22 38.03 430172 | 1 0.22 38.26 430173 | 1 0.22 38.48 430174 | 1 0.22 38.70 430175 | 1 0.22 38.93 430176 | 1 0.22 39.15 430178 | 1 0.22 39.37 430179 | 1 0.22 39.60 430180 | 1 0.22 39.82 430181 | 1 0.22 40.04 430182 | 1 0.22 40.27 430183 | 1 0.22 40.49 430184 | 1 0.22 40.72 430185 | 1 0.22 40.94 430186 | 1 0.22 41.16 430187 | 1 0.22 41.39 430188 | 1 0.22 41.61 430189 | 1 0.22 41.83 430190 | 1 0.22 42.06 430191 | 1 0.22 42.28 430192 | 1 0.22 42.51 430193 | 1 0.22 42.73 430194 | 1 0.22 42.95 430195 | 1 0.22 43.18 430196 | 1 0.22 43.40 430197 | 1 0.22 43.62 430198 | 1 0.22 43.85 430199 | 1 0.22 44.07 430200 | 1 0.22 44.30 430201 | 1 0.22 44.52 430202 | 1 0.22 44.74 430203 | 1 0.22 44.97 430204 | 1 0.22 45.19 430205 | 1 0.22 45.41 430206 | 1 0.22 45.64 430207 | 1 0.22 45.86 430208 | 1 0.22 46.09 430209 | 1 0.22 46.31 430210 | 1 0.22 46.53 430211 | 1 0.22 46.76 430212 | 1 0.22 46.98 430213 | 1 0.22 47.20 430214 | 1 0.22 47.43 430215 | 1 0.22 47.65 430216 | 1 0.22 47.87 430217 | 1 0.22 48.10 430218 | 1 0.22 48.32 430219 | 1 0.22 48.55 430220 | 1 0.22 48.77 430222 | 1 0.22 48.99 430223 | 1 0.22 49.22 430224 | 1 0.22 49.44 430225 | 1 0.22 49.66 430226 | 1 0.22 49.89 430227 | 1 0.22 50.11 430228 | 1 0.22 50.34 430229 | 1 0.22 50.56 430230 | 1 0.22 50.78 430231 | 1 0.22 51.01 430232 | 1 0.22 51.23 430233 | 1 0.22 51.45 430234 | 1 0.22 51.68 430235 | 1 0.22 51.90 430236 | 1 0.22 52.13 430237 | 1 0.22 52.35 430238 | 1 0.22 52.57 430239 | 1 0.22 52.80 430240 | 1 0.22 53.02 430241 | 1 0.22 53.24 430242 | 1 0.22 53.47 430244 | 1 0.22 53.69 430245 | 1 0.22 53.91 430246 | 1 0.22 54.14 430247 | 1 0.22 54.36 430248 | 1 0.22 54.59 430249 | 1 0.22 54.81 430250 | 1 0.22 55.03 430251 | 1 0.22 55.26 430252 | 1 0.22 55.48 430253 | 1 0.22 55.70 430254 | 1 0.22 55.93 430255 | 1 0.22 56.15 430256 | 1 0.22 56.38 430257 | 1 0.22 56.60 430258 | 1 0.22 56.82 430259 | 1 0.22 57.05 430260 | 1 0.22 57.27 430261 | 1 0.22 57.49 430262 | 1 0.22 57.72 430263 | 1 0.22 57.94 430264 | 1 0.22 58.17 430265 | 1 0.22 58.39 430266 | 1 0.22 58.61 430267 | 1 0.22 58.84 430268 | 1 0.22 59.06 430269 | 1 0.22 59.28 430270 | 1 0.22 59.51 430271 | 1 0.22 59.73 430272 | 1 0.22 59.96 430273 | 1 0.22 60.18 430274 | 1 0.22 60.40 430275 | 1 0.22 60.63 430276 | 1 0.22 60.85 430277 | 1 0.22 61.07 430278 | 1 0.22 61.30 430279 | 1 0.22 61.52 430280 | 1 0.22 61.74 430281 | 1 0.22 61.97 430283 | 1 0.22 62.19 430284 | 1 0.22 62.42 430285 | 1 0.22 62.64 430286 | 1 0.22 62.86 430287 | 1 0.22 63.09 430288 | 1 0.22 63.31 430289 | 1 0.22 63.53 430290 | 1 0.22 63.76 430291 | 1 0.22 63.98 430292 | 1 0.22 64.21 430293 | 1 0.22 64.43 430294 | 1 0.22 64.65 430295 | 1 0.22 64.88 430296 | 1 0.22 65.10 430297 | 1 0.22 65.32 430298 | 1 0.22 65.55 430299 | 1 0.22 65.77 430300 | 1 0.22 66.00 430301 | 1 0.22 66.22 430302 | 1 0.22 66.44 430303 | 1 0.22 66.67 430304 | 1 0.22 66.89 430305 | 1 0.22 67.11 430306 | 1 0.22 67.34 430307 | 1 0.22 67.56 430308 | 1 0.22 67.79 430309 | 1 0.22 68.01 430310 | 1 0.22 68.23 430311 | 1 0.22 68.46 430312 | 1 0.22 68.68 430313 | 1 0.22 68.90 430314 | 1 0.22 69.13 430315 | 1 0.22 69.35 430316 | 1 0.22 69.57 430317 | 1 0.22 69.80 430318 | 1 0.22 70.02 430319 | 1 0.22 70.25 430320 | 1 0.22 70.47 430321 | 1 0.22 70.69 430322 | 1 0.22 70.92 430323 | 1 0.22 71.14 430324 | 1 0.22 71.36 430325 | 1 0.22 71.59 430326 | 1 0.22 71.81 430327 | 1 0.22 72.04 430328 | 1 0.22 72.26 430329 | 1 0.22 72.48 430330 | 1 0.22 72.71 430331 | 1 0.22 72.93 430332 | 1 0.22 73.15 430333 | 1 0.22 73.38 430334 | 1 0.22 73.60 430335 | 1 0.22 73.83 430336 | 1 0.22 74.05 430337 | 1 0.22 74.27 430338 | 1 0.22 74.50 430339 | 1 0.22 74.72 430340 | 1 0.22 74.94 430341 | 1 0.22 75.17 430342 | 1 0.22 75.39 430343 | 1 0.22 75.62 430344 | 1 0.22 75.84 430345 | 1 0.22 76.06 430346 | 1 0.22 76.29 430347 | 1 0.22 76.51 430348 | 1 0.22 76.73 430349 | 1 0.22 76.96 430350 | 1 0.22 77.18 430351 | 1 0.22 77.40 430352 | 1 0.22 77.63 430353 | 1 0.22 77.85 430354 | 1 0.22 78.08 430355 | 1 0.22 78.30 430356 | 1 0.22 78.52 430357 | 1 0.22 78.75 430358 | 1 0.22 78.97 430359 | 1 0.22 79.19 430360 | 1 0.22 79.42 430361 | 1 0.22 79.64 430362 | 1 0.22 79.87 430363 | 1 0.22 80.09 430364 | 1 0.22 80.31 430365 | 1 0.22 80.54 430366 | 1 0.22 80.76 430367 | 1 0.22 80.98 430368 | 1 0.22 81.21 430369 | 1 0.22 81.43 430370 | 1 0.22 81.66 430371 | 1 0.22 81.88 430372 | 1 0.22 82.10 430373 | 1 0.22 82.33 430374 | 1 0.22 82.55 430375 | 1 0.22 82.77 430376 | 1 0.22 83.00 430377 | 1 0.22 83.22 430378 | 1 0.22 83.45 430379 | 1 0.22 83.67 430380 | 1 0.22 83.89 430381 | 1 0.22 84.12 430382 | 1 0.22 84.34 430383 | 1 0.22 84.56 430384 | 1 0.22 84.79 430385 | 1 0.22 85.01 430386 | 1 0.22 85.23 430387 | 1 0.22 85.46 430388 | 1 0.22 85.68 430389 | 1 0.22 85.91 430390 | 1 0.22 86.13 430391 | 1 0.22 86.35 430392 | 1 0.22 86.58 430393 | 1 0.22 86.80 430394 | 1 0.22 87.02 430395 | 1 0.22 87.25 430396 | 1 0.22 87.47 430397 | 1 0.22 87.70 430398 | 1 0.22 87.92 430399 | 1 0.22 88.14 430400 | 1 0.22 88.37 430401 | 1 0.22 88.59 430402 | 1 0.22 88.81 430403 | 1 0.22 89.04 430404 | 1 0.22 89.26 430405 | 1 0.22 89.49 430406 | 1 0.22 89.71 430407 | 1 0.22 89.93 430408 | 1 0.22 90.16 430409 | 1 0.22 90.38 430410 | 1 0.22 90.60 430411 | 1 0.22 90.83 430412 | 1 0.22 91.05 430413 | 1 0.22 91.28 430414 | 1 0.22 91.50 430415 | 1 0.22 91.72 430416 | 1 0.22 91.95 430418 | 1 0.22 92.17 430419 | 1 0.22 92.39 430420 | 1 0.22 92.62 430421 | 1 0.22 92.84 430422 | 1 0.22 93.06 430423 | 1 0.22 93.29 430424 | 1 0.22 93.51 430425 | 1 0.22 93.74 430426 | 1 0.22 93.96 430427 | 1 0.22 94.18 430428 | 1 0.22 94.41 430429 | 1 0.22 94.63 430430 | 1 0.22 94.85 430431 | 1 0.22 95.08 430432 | 1 0.22 95.30 430433 | 1 0.22 95.53 430434 | 1 0.22 95.75 430435 | 1 0.22 95.97 430436 | 1 0.22 96.20 430437 | 1 0.22 96.42 430438 | 1 0.22 96.64 430439 | 1 0.22 96.87 430440 | 1 0.22 97.09 430441 | 1 0.22 97.32 430442 | 1 0.22 97.54 430443 | 1 0.22 97.76 430444 | 1 0.22 97.99 430445 | 1 0.22 98.21 430446 | 1 0.22 98.43 430447 | 1 0.22 98.66 430448 | 1 0.22 98.88 430449 | 1 0.22 99.11 430450 | 1 0.22 99.33 430451 | 1 0.22 99.55 430452 | 1 0.22 99.78 430453 | 1 0.22 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 447 100.00 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 447 100.00 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 226 50.56 50.56 2 | 221 49.44 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 103 23.04 23.04 2 | 344 76.96 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 300 67.11 67.11 2 | 21 4.70 71.81 3 | 4 0.89 72.71 4 | 122 27.29 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 8.05 8.05 2 | 411 91.95 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 103 23.04 23.04 2 | 14 3.13 26.17 3 | 32 7.16 33.33 4 | 50 11.19 44.52 5 | 86 19.24 63.76 6 | 162 36.24 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 8.05 8.05 2 | 411 91.95 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 318 71.14 71.14 2 | 28 6.26 77.40 3 | 39 8.72 86.13 4 | 54 12.08 98.21 5 | 6 1.34 99.55 6 | 2 0.45 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 3 | 447 100.00 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 146 32.66 32.66 2 | 301 67.34 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 218 48.77 48.77 2 | 229 51.23 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 54 12.08 12.08 2 | 393 87.92 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 307 68.68 68.68 2 | 121 27.07 95.75 3 | 19 4.25 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 2 | 447 100.00 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 34 7.61 7.61 2 | 413 92.39 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 216 48.32 48.32 2 | 231 51.68 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 175 39.15 39.15 2 | 272 60.85 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 20 4.47 4.47 2 | 427 95.53 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 28 6.26 6.26 2 | 419 93.74 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 2 | 447 100.00 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 124 27.74 27.74 2 | 97 21.70 49.44 3 | 226 50.56 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 60 13.42 13.42 2 | 387 86.58 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 58 12.98 12.98 2 | 389 87.02 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 79 17.67 17.67 2 | 368 82.33 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 77 17.23 17.23 2 | 370 82.77 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 26 5.82 5.82 2 | 421 94.18 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 88 19.69 19.69 2 | 359 80.31 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 158 35.35 35.35 2 | 289 64.65 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.22 0.22 2 | 446 99.78 100.00 ------------+----------------------------------- Total | 447 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 447 100.00 100.00 ------------+----------------------------------- Total | 447 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016