Frequencies for accident dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for state variable in accident dataset : State | Freq. Percent Cum. ------------+----------------------------------- 43 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for county variable in accident dataset : County | Freq. Percent Cum. ------------+----------------------------------- 72 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for month variable in accident dataset : Accident | Date-Month | Freq. Percent Cum. ------------+----------------------------------- 1 | 50 11.11 11.11 2 | 48 10.67 21.78 3 | 33 7.33 29.11 4 | 36 8.00 37.11 5 | 28 6.22 43.33 6 | 32 7.11 50.44 7 | 41 9.11 59.56 8 | 27 6.00 65.56 9 | 32 7.11 72.67 10 | 43 9.56 82.22 11 | 42 9.33 91.56 12 | 38 8.44 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for day variable in accident dataset : Accident | Date-Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 19 4.22 4.22 2 | 16 3.56 7.78 3 | 14 3.11 10.89 4 | 12 2.67 13.56 5 | 15 3.33 16.89 6 | 22 4.89 21.78 7 | 21 4.67 26.44 8 | 12 2.67 29.11 9 | 8 1.78 30.89 10 | 17 3.78 34.67 11 | 11 2.44 37.11 12 | 18 4.00 41.11 13 | 10 2.22 43.33 14 | 11 2.44 45.78 15 | 16 3.56 49.33 16 | 12 2.67 52.00 17 | 16 3.56 55.56 18 | 14 3.11 58.67 19 | 7 1.56 60.22 20 | 8 1.78 62.00 21 | 13 2.89 64.89 22 | 16 3.56 68.44 23 | 24 5.33 73.78 24 | 20 4.44 78.22 25 | 10 2.22 80.44 26 | 18 4.00 84.44 27 | 15 3.33 87.78 28 | 16 3.56 91.33 29 | 10 2.22 93.56 30 | 18 4.00 97.56 31 | 11 2.44 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for year variable in accident dataset : Accident | Date-Year | Freq. Percent Cum. ------------+----------------------------------- 82 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for hour variable in accident dataset : Time of | Accident-Ho | ur | Freq. Percent Cum. ------------+----------------------------------- 0 | 16 3.56 3.56 1 | 20 4.44 8.00 2 | 13 2.89 10.89 3 | 10 2.22 13.11 4 | 12 2.67 15.78 5 | 9 2.00 17.78 6 | 15 3.33 21.11 7 | 10 2.22 23.33 8 | 9 2.00 25.33 9 | 11 2.44 27.78 10 | 10 2.22 30.00 11 | 7 1.56 31.56 12 | 7 1.56 33.11 13 | 14 3.11 36.22 14 | 26 5.78 42.00 15 | 17 3.78 45.78 16 | 21 4.67 50.44 17 | 15 3.33 53.78 18 | 36 8.00 61.78 19 | 48 10.67 72.44 20 | 34 7.56 80.00 21 | 28 6.22 86.22 22 | 26 5.78 92.00 23 | 31 6.89 98.89 99 | 5 1.11 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for minute variable in accident dataset : Time of | Accident-Mi | nute | Freq. Percent Cum. ------------+----------------------------------- 0 | 98 21.78 21.78 5 | 12 2.67 24.44 8 | 1 0.22 24.67 10 | 22 4.89 29.56 14 | 1 0.22 29.78 15 | 43 9.56 39.33 20 | 22 4.89 44.22 25 | 12 2.67 46.89 30 | 128 28.44 75.33 31 | 1 0.22 75.56 35 | 7 1.56 77.11 40 | 25 5.56 82.67 45 | 52 11.56 94.22 50 | 14 3.11 97.33 55 | 7 1.56 98.89 99 | 5 1.11 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for ve_forms variable in accident dataset : Vehicle | Forms | Submitted | Freq. Percent Cum. ------------+----------------------------------- 1 | 342 76.00 76.00 2 | 93 20.67 96.67 3 | 12 2.67 99.33 4 | 2 0.44 99.78 9 | 1 0.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for persons variable in accident dataset : Person | Forms | Submitted | Freq. Percent Cum. ------------+----------------------------------- 1 | 61 13.56 13.56 2 | 270 60.00 73.56 3 | 55 12.22 85.78 4 | 25 5.56 91.33 5 | 14 3.11 94.44 6 | 9 2.00 96.44 7 | 9 2.00 98.44 8 | 2 0.44 98.89 9 | 2 0.44 99.33 10 | 1 0.22 99.56 12 | 2 0.44 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for land_use variable in accident dataset : Land Use | Freq. Percent Cum. ------------+----------------------------------- 1 | 207 46.00 46.00 2 | 243 54.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for road_fnc variable in accident dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 2 | 11 2.44 2.44 3 | 212 47.11 49.56 4 | 10 2.22 51.78 5 | 16 3.56 55.33 6 | 50 11.11 66.44 7 | 28 6.22 72.67 8 | 123 27.33 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for fed_aid variable in accident dataset : Federal-Aid | System | Freq. Percent Cum. ------------+----------------------------------- 2 | 131 29.11 29.11 3 | 29 6.44 35.56 4 | 76 16.89 52.44 5 | 18 4.00 56.44 6 | 18 4.00 60.44 7 | 55 12.22 72.67 8 | 123 27.33 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for cl_tway variable in accident dataset : Class | Trafficway | Freq. Percent Cum. ------------+----------------------------------- 3 | 280 62.22 62.22 4 | 94 20.89 83.11 5 | 75 16.67 99.78 8 | 1 0.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for sp_jur variable in accident dataset : Special | Jurisdictio | n | Freq. Percent Cum. ------------+----------------------------------- 0 | 449 99.78 99.78 1 | 1 0.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for harm_ev variable in accident dataset : First | Harmful | Event | Freq. Percent Cum. ------------+----------------------------------- 1 | 14 3.11 3.11 3 | 3 0.67 3.78 5 | 7 1.56 5.33 7 | 2 0.44 5.78 8 | 189 42.00 47.78 9 | 17 3.78 51.56 11 | 2 0.44 52.00 12 | 92 20.44 72.44 13 | 1 0.22 72.67 14 | 9 2.00 74.67 15 | 1 0.22 74.89 18 | 2 0.44 75.33 19 | 4 0.89 76.22 22 | 1 0.22 76.44 24 | 4 0.89 77.33 25 | 5 1.11 78.44 26 | 7 1.56 80.00 27 | 1 0.22 80.22 28 | 3 0.67 80.89 30 | 9 2.00 82.89 31 | 3 0.67 83.56 32 | 2 0.44 84.00 33 | 12 2.67 86.67 35 | 5 1.11 87.78 36 | 1 0.22 88.00 37 | 13 2.89 90.89 38 | 4 0.89 91.78 40 | 2 0.44 92.22 42 | 32 7.11 99.33 43 | 2 0.44 99.78 99 | 1 0.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for man_coll variable in accident dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 0 | 355 78.89 78.89 1 | 15 3.33 82.22 2 | 43 9.56 91.78 4 | 28 6.22 98.00 5 | 4 0.89 98.89 6 | 3 0.67 99.56 9 | 2 0.44 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for rel_junc variable in accident dataset : Relation to | Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 382 84.89 84.89 2 | 59 13.11 98.00 3 | 4 0.89 98.89 4 | 3 0.67 99.56 6 | 2 0.44 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for rel_road variable in accident dataset : Relation to | Roadway | Freq. Percent Cum. ------------+----------------------------------- 1 | 291 64.67 64.67 2 | 22 4.89 69.56 3 | 14 3.11 72.67 4 | 74 16.44 89.11 5 | 13 2.89 92.00 6 | 31 6.89 98.89 9 | 5 1.11 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for tway_flo variable in accident dataset : Trafficway | Flow | Freq. Percent Cum. ------------+----------------------------------- 1 | 356 79.11 79.11 2 | 48 10.67 89.78 3 | 43 9.56 99.33 4 | 3 0.67 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for no_lanes variable in accident dataset : Number of | Travel | Lanes | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.22 0.22 2 | 319 70.89 71.11 3 | 45 10.00 81.11 4 | 77 17.11 98.22 5 | 2 0.44 98.67 6 | 6 1.33 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for sp_limit variable in accident dataset : Speed Limit | Freq. Percent Cum. ------------+----------------------------------- 15 | 3 0.67 0.67 20 | 21 4.67 5.33 25 | 90 20.00 25.33 30 | 55 12.22 37.56 35 | 106 23.56 61.11 40 | 80 17.78 78.89 45 | 40 8.89 87.78 50 | 22 4.89 92.67 55 | 32 7.11 99.78 99 | 1 0.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for alignmnt variable in accident dataset : Roadway | Alignment | Freq. Percent Cum. ------------+----------------------------------- 1 | 387 86.00 86.00 2 | 63 14.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for profile variable in accident dataset : Roadway | Profile | Freq. Percent Cum. ------------+----------------------------------- 1 | 352 78.22 78.22 2 | 97 21.56 99.78 3 | 1 0.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for pave_typ variable in accident dataset : Roadway | Surface | Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 70 15.56 15.56 2 | 380 84.44 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for sur_cond variable in accident dataset : Roadway | Surface | Condition | Freq. Percent Cum. ------------+----------------------------------- 1 | 386 85.78 85.78 2 | 62 13.78 99.56 8 | 1 0.22 99.78 9 | 1 0.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for tra_cont variable in accident dataset : Traffic | Control | Device | Freq. Percent Cum. ------------+----------------------------------- 0 | 379 84.22 84.22 1 | 1 0.22 84.44 2 | 1 0.22 84.67 3 | 27 6.00 90.67 4 | 1 0.22 90.89 8 | 1 0.22 91.11 20 | 10 2.22 93.33 30 | 2 0.44 93.78 39 | 1 0.22 94.00 40 | 21 4.67 98.67 50 | 3 0.67 99.33 98 | 2 0.44 99.78 99 | 1 0.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for t_cont_f variable in accident dataset : Traffic | Control | Device-Func | tioning | Freq. Percent Cum. ------------+----------------------------------- 0 | 383 85.11 85.11 3 | 65 14.44 99.56 9 | 2 0.44 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for hit_run variable in accident dataset : Hit-and-Run | Freq. Percent Cum. ------------+----------------------------------- 0 | 388 86.22 86.22 1 | 3 0.67 86.89 2 | 59 13.11 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for lgt_cond variable in accident dataset : Light | Condition | Freq. Percent Cum. ------------+----------------------------------- 1 | 153 34.00 34.00 2 | 167 37.11 71.11 3 | 87 19.33 90.44 4 | 8 1.78 92.22 5 | 30 6.67 98.89 9 | 5 1.11 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for weather variable in accident dataset : Atmospheric | Conditions | Freq. Percent Cum. ------------+----------------------------------- 1 | 446 99.11 99.11 2 | 4 0.89 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for c_m_zone variable in accident dataset : Constructio | n/Maintenan | ce Zone | Freq. Percent Cum. ------------+----------------------------------- 0 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for not_hour variable in accident dataset : Notificatio | n Time | EMS-Hour | Freq. Percent Cum. ------------+----------------------------------- 0 | 407 90.44 90.44 99 | 43 9.56 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for not_min variable in accident dataset : Notificatio | n Time | EMS-Minute | Freq. Percent Cum. ------------+----------------------------------- 0 | 407 90.44 90.44 99 | 43 9.56 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for arr_hour variable in accident dataset : Arrival | Time | EMS-Hour | Freq. Percent Cum. ------------+----------------------------------- 0 | 407 90.44 90.44 99 | 43 9.56 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for arr_min variable in accident dataset : Arrival | Time | EMS-Minute | Freq. Percent Cum. ------------+----------------------------------- 0 | 407 90.44 90.44 99 | 43 9.56 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for sch_bus variable in accident dataset : School Bus | Related | Freq. Percent Cum. ------------+----------------------------------- 0 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for cf1 variable in accident dataset : Accident | Related | Factor 1 | Freq. Percent Cum. ------------+----------------------------------- 0 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for cf2 variable in accident dataset : Accident | Related | Factor 2 | Freq. Percent Cum. ------------+----------------------------------- 0 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for cf3 variable in accident dataset : Accident | Related | Factor 3 | Freq. Percent Cum. ------------+----------------------------------- 0 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for fatals variable in accident dataset : Accident | Fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 429 95.33 95.33 2 | 15 3.33 98.67 3 | 3 0.67 99.33 4 | 3 0.67 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for day_week variable in accident dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 96 21.33 21.33 2 | 41 9.11 30.44 3 | 47 10.44 40.89 4 | 44 9.78 50.67 5 | 53 11.78 62.44 6 | 76 16.89 79.33 7 | 93 20.67 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for drunk_dr variable in accident dataset : Drunk | Drivers | Freq. Percent Cum. ------------+----------------------------------- 0 | 331 73.56 73.56 1 | 112 24.89 98.44 2 | 7 1.56 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for st_case variable in accident dataset : State/Case | Number | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.22 0.22 430002 | 1 0.22 0.44 430003 | 1 0.22 0.67 430004 | 1 0.22 0.89 430005 | 1 0.22 1.11 430006 | 1 0.22 1.33 430007 | 1 0.22 1.56 430008 | 1 0.22 1.78 430009 | 1 0.22 2.00 430010 | 1 0.22 2.22 430011 | 1 0.22 2.44 430012 | 1 0.22 2.67 430013 | 1 0.22 2.89 430014 | 1 0.22 3.11 430015 | 1 0.22 3.33 430016 | 1 0.22 3.56 430017 | 1 0.22 3.78 430018 | 1 0.22 4.00 430019 | 1 0.22 4.22 430020 | 1 0.22 4.44 430021 | 1 0.22 4.67 430022 | 1 0.22 4.89 430024 | 1 0.22 5.11 430025 | 1 0.22 5.33 430026 | 1 0.22 5.56 430027 | 1 0.22 5.78 430028 | 1 0.22 6.00 430029 | 1 0.22 6.22 430030 | 1 0.22 6.44 430031 | 1 0.22 6.67 430032 | 1 0.22 6.89 430033 | 1 0.22 7.11 430034 | 1 0.22 7.33 430035 | 1 0.22 7.56 430036 | 1 0.22 7.78 430037 | 1 0.22 8.00 430038 | 1 0.22 8.22 430039 | 1 0.22 8.44 430040 | 1 0.22 8.67 430041 | 1 0.22 8.89 430042 | 1 0.22 9.11 430043 | 1 0.22 9.33 430044 | 1 0.22 9.56 430045 | 1 0.22 9.78 430046 | 1 0.22 10.00 430047 | 1 0.22 10.22 430048 | 1 0.22 10.44 430049 | 1 0.22 10.67 430050 | 1 0.22 10.89 430051 | 1 0.22 11.11 430052 | 1 0.22 11.33 430053 | 1 0.22 11.56 430054 | 1 0.22 11.78 430055 | 1 0.22 12.00 430056 | 1 0.22 12.22 430057 | 1 0.22 12.44 430058 | 1 0.22 12.67 430059 | 1 0.22 12.89 430060 | 1 0.22 13.11 430061 | 1 0.22 13.33 430062 | 1 0.22 13.56 430063 | 1 0.22 13.78 430064 | 1 0.22 14.00 430065 | 1 0.22 14.22 430066 | 1 0.22 14.44 430067 | 1 0.22 14.67 430068 | 1 0.22 14.89 430069 | 1 0.22 15.11 430070 | 1 0.22 15.33 430071 | 1 0.22 15.56 430072 | 1 0.22 15.78 430073 | 1 0.22 16.00 430074 | 1 0.22 16.22 430075 | 1 0.22 16.44 430076 | 1 0.22 16.67 430077 | 1 0.22 16.89 430078 | 1 0.22 17.11 430079 | 1 0.22 17.33 430080 | 1 0.22 17.56 430081 | 1 0.22 17.78 430082 | 1 0.22 18.00 430083 | 1 0.22 18.22 430084 | 1 0.22 18.44 430085 | 1 0.22 18.67 430086 | 1 0.22 18.89 430087 | 1 0.22 19.11 430088 | 1 0.22 19.33 430089 | 1 0.22 19.56 430090 | 1 0.22 19.78 430091 | 1 0.22 20.00 430092 | 1 0.22 20.22 430093 | 1 0.22 20.44 430094 | 1 0.22 20.67 430095 | 1 0.22 20.89 430096 | 1 0.22 21.11 430097 | 1 0.22 21.33 430098 | 1 0.22 21.56 430099 | 1 0.22 21.78 430100 | 1 0.22 22.00 430101 | 1 0.22 22.22 430102 | 1 0.22 22.44 430103 | 1 0.22 22.67 430104 | 1 0.22 22.89 430105 | 1 0.22 23.11 430106 | 1 0.22 23.33 430107 | 1 0.22 23.56 430108 | 1 0.22 23.78 430109 | 1 0.22 24.00 430110 | 1 0.22 24.22 430111 | 1 0.22 24.44 430112 | 1 0.22 24.67 430113 | 1 0.22 24.89 430114 | 1 0.22 25.11 430115 | 1 0.22 25.33 430116 | 1 0.22 25.56 430117 | 1 0.22 25.78 430118 | 1 0.22 26.00 430119 | 1 0.22 26.22 430120 | 1 0.22 26.44 430121 | 1 0.22 26.67 430122 | 1 0.22 26.89 430123 | 1 0.22 27.11 430124 | 1 0.22 27.33 430125 | 1 0.22 27.56 430126 | 1 0.22 27.78 430127 | 1 0.22 28.00 430128 | 1 0.22 28.22 430129 | 1 0.22 28.44 430130 | 1 0.22 28.67 430131 | 1 0.22 28.89 430132 | 1 0.22 29.11 430133 | 1 0.22 29.33 430134 | 1 0.22 29.56 430135 | 1 0.22 29.78 430136 | 1 0.22 30.00 430137 | 1 0.22 30.22 430138 | 1 0.22 30.44 430139 | 1 0.22 30.67 430140 | 1 0.22 30.89 430141 | 1 0.22 31.11 430142 | 1 0.22 31.33 430143 | 1 0.22 31.56 430144 | 1 0.22 31.78 430145 | 1 0.22 32.00 430147 | 1 0.22 32.22 430148 | 1 0.22 32.44 430149 | 1 0.22 32.67 430150 | 1 0.22 32.89 430151 | 1 0.22 33.11 430152 | 1 0.22 33.33 430153 | 1 0.22 33.56 430154 | 1 0.22 33.78 430155 | 1 0.22 34.00 430156 | 1 0.22 34.22 430157 | 1 0.22 34.44 430158 | 1 0.22 34.67 430159 | 1 0.22 34.89 430160 | 1 0.22 35.11 430161 | 1 0.22 35.33 430162 | 1 0.22 35.56 430163 | 1 0.22 35.78 430164 | 1 0.22 36.00 430165 | 1 0.22 36.22 430166 | 1 0.22 36.44 430167 | 1 0.22 36.67 430168 | 1 0.22 36.89 430169 | 1 0.22 37.11 430170 | 1 0.22 37.33 430171 | 1 0.22 37.56 430172 | 1 0.22 37.78 430173 | 1 0.22 38.00 430174 | 1 0.22 38.22 430175 | 1 0.22 38.44 430176 | 1 0.22 38.67 430177 | 1 0.22 38.89 430178 | 1 0.22 39.11 430179 | 1 0.22 39.33 430180 | 1 0.22 39.56 430181 | 1 0.22 39.78 430182 | 1 0.22 40.00 430183 | 1 0.22 40.22 430184 | 1 0.22 40.44 430185 | 1 0.22 40.67 430186 | 1 0.22 40.89 430187 | 1 0.22 41.11 430188 | 1 0.22 41.33 430189 | 1 0.22 41.56 430190 | 1 0.22 41.78 430191 | 1 0.22 42.00 430192 | 1 0.22 42.22 430193 | 1 0.22 42.44 430194 | 1 0.22 42.67 430195 | 1 0.22 42.89 430196 | 1 0.22 43.11 430197 | 1 0.22 43.33 430198 | 1 0.22 43.56 430199 | 1 0.22 43.78 430200 | 1 0.22 44.00 430201 | 1 0.22 44.22 430202 | 1 0.22 44.44 430203 | 1 0.22 44.67 430204 | 1 0.22 44.89 430205 | 1 0.22 45.11 430206 | 1 0.22 45.33 430207 | 1 0.22 45.56 430208 | 1 0.22 45.78 430209 | 1 0.22 46.00 430210 | 1 0.22 46.22 430211 | 1 0.22 46.44 430212 | 1 0.22 46.67 430213 | 1 0.22 46.89 430214 | 1 0.22 47.11 430215 | 1 0.22 47.33 430216 | 1 0.22 47.56 430217 | 1 0.22 47.78 430218 | 1 0.22 48.00 430219 | 1 0.22 48.22 430220 | 1 0.22 48.44 430221 | 1 0.22 48.67 430222 | 1 0.22 48.89 430223 | 1 0.22 49.11 430224 | 1 0.22 49.33 430225 | 1 0.22 49.56 430226 | 1 0.22 49.78 430227 | 1 0.22 50.00 430228 | 1 0.22 50.22 430229 | 1 0.22 50.44 430230 | 1 0.22 50.67 430231 | 1 0.22 50.89 430232 | 1 0.22 51.11 430233 | 1 0.22 51.33 430234 | 1 0.22 51.56 430235 | 1 0.22 51.78 430236 | 1 0.22 52.00 430237 | 1 0.22 52.22 430238 | 1 0.22 52.44 430239 | 1 0.22 52.67 430240 | 1 0.22 52.89 430241 | 1 0.22 53.11 430242 | 1 0.22 53.33 430243 | 1 0.22 53.56 430244 | 1 0.22 53.78 430245 | 1 0.22 54.00 430246 | 1 0.22 54.22 430247 | 1 0.22 54.44 430249 | 1 0.22 54.67 430250 | 1 0.22 54.89 430251 | 1 0.22 55.11 430252 | 1 0.22 55.33 430253 | 1 0.22 55.56 430254 | 1 0.22 55.78 430255 | 1 0.22 56.00 430256 | 1 0.22 56.22 430257 | 1 0.22 56.44 430258 | 1 0.22 56.67 430259 | 1 0.22 56.89 430260 | 1 0.22 57.11 430261 | 1 0.22 57.33 430262 | 1 0.22 57.56 430263 | 1 0.22 57.78 430264 | 1 0.22 58.00 430265 | 1 0.22 58.22 430266 | 1 0.22 58.44 430267 | 1 0.22 58.67 430268 | 1 0.22 58.89 430269 | 1 0.22 59.11 430270 | 1 0.22 59.33 430271 | 1 0.22 59.56 430272 | 1 0.22 59.78 430273 | 1 0.22 60.00 430274 | 1 0.22 60.22 430275 | 1 0.22 60.44 430276 | 1 0.22 60.67 430277 | 1 0.22 60.89 430278 | 1 0.22 61.11 430279 | 1 0.22 61.33 430280 | 1 0.22 61.56 430281 | 1 0.22 61.78 430282 | 1 0.22 62.00 430283 | 1 0.22 62.22 430284 | 1 0.22 62.44 430285 | 1 0.22 62.67 430286 | 1 0.22 62.89 430287 | 1 0.22 63.11 430288 | 1 0.22 63.33 430289 | 1 0.22 63.56 430290 | 1 0.22 63.78 430291 | 1 0.22 64.00 430292 | 1 0.22 64.22 430293 | 1 0.22 64.44 430294 | 1 0.22 64.67 430295 | 1 0.22 64.89 430296 | 1 0.22 65.11 430297 | 1 0.22 65.33 430298 | 1 0.22 65.56 430299 | 1 0.22 65.78 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 67.33 430307 | 1 0.22 67.56 430308 | 1 0.22 67.78 430309 | 1 0.22 68.00 430310 | 1 0.22 68.22 430311 | 1 0.22 68.44 430312 | 1 0.22 68.67 430313 | 1 0.22 68.89 430314 | 1 0.22 69.11 430315 | 1 0.22 69.33 430316 | 1 0.22 69.56 430317 | 1 0.22 69.78 430318 | 1 0.22 70.00 430320 | 1 0.22 70.22 430321 | 1 0.22 70.44 430322 | 1 0.22 70.67 430323 | 1 0.22 70.89 430324 | 1 0.22 71.11 430325 | 1 0.22 71.33 430326 | 1 0.22 71.56 430327 | 1 0.22 71.78 430328 | 1 0.22 72.00 430329 | 1 0.22 72.22 430330 | 1 0.22 72.44 430331 | 1 0.22 72.67 430332 | 1 0.22 72.89 430333 | 1 0.22 73.11 430334 | 1 0.22 73.33 430335 | 1 0.22 73.56 430336 | 1 0.22 73.78 430337 | 1 0.22 74.00 430338 | 1 0.22 74.22 430339 | 1 0.22 74.44 430340 | 1 0.22 74.67 430341 | 1 0.22 74.89 430342 | 1 0.22 75.11 430343 | 1 0.22 75.33 430344 | 1 0.22 75.56 430345 | 1 0.22 75.78 430346 | 1 0.22 76.00 430347 | 1 0.22 76.22 430348 | 1 0.22 76.44 430349 | 1 0.22 76.67 430350 | 1 0.22 76.89 430351 | 1 0.22 77.11 430352 | 1 0.22 77.33 430353 | 1 0.22 77.56 430354 | 1 0.22 77.78 430355 | 1 0.22 78.00 430356 | 1 0.22 78.22 430357 | 1 0.22 78.44 430358 | 1 0.22 78.67 430359 | 1 0.22 78.89 430360 | 1 0.22 79.11 430361 | 1 0.22 79.33 430362 | 1 0.22 79.56 430363 | 1 0.22 79.78 430364 | 1 0.22 80.00 430365 | 1 0.22 80.22 430366 | 1 0.22 80.44 430367 | 1 0.22 80.67 430368 | 1 0.22 80.89 430369 | 1 0.22 81.11 430370 | 1 0.22 81.33 430371 | 1 0.22 81.56 430372 | 1 0.22 81.78 430373 | 1 0.22 82.00 430374 | 1 0.22 82.22 430375 | 1 0.22 82.44 430376 | 1 0.22 82.67 430377 | 1 0.22 82.89 430378 | 1 0.22 83.11 430379 | 1 0.22 83.33 430380 | 1 0.22 83.56 430381 | 1 0.22 83.78 430382 | 1 0.22 84.00 430383 | 1 0.22 84.22 430384 | 1 0.22 84.44 430385 | 1 0.22 84.67 430386 | 1 0.22 84.89 430387 | 1 0.22 85.11 430388 | 1 0.22 85.33 430389 | 1 0.22 85.56 430390 | 1 0.22 85.78 430391 | 1 0.22 86.00 430392 | 1 0.22 86.22 430393 | 1 0.22 86.44 430394 | 1 0.22 86.67 430395 | 1 0.22 86.89 430396 | 1 0.22 87.11 430397 | 1 0.22 87.33 430398 | 1 0.22 87.56 430399 | 1 0.22 87.78 430400 | 1 0.22 88.00 430401 | 1 0.22 88.22 430402 | 1 0.22 88.44 430403 | 1 0.22 88.67 430404 | 1 0.22 88.89 430405 | 1 0.22 89.11 430406 | 1 0.22 89.33 430407 | 1 0.22 89.56 430408 | 1 0.22 89.78 430409 | 1 0.22 90.00 430410 | 1 0.22 90.22 430411 | 1 0.22 90.44 430412 | 1 0.22 90.67 430413 | 1 0.22 90.89 430414 | 1 0.22 91.11 430415 | 1 0.22 91.33 430416 | 1 0.22 91.56 430417 | 1 0.22 91.78 430418 | 1 0.22 92.00 430419 | 1 0.22 92.22 430420 | 1 0.22 92.44 430421 | 1 0.22 92.67 430422 | 1 0.22 92.89 430423 | 1 0.22 93.11 430424 | 1 0.22 93.33 430425 | 1 0.22 93.56 430426 | 1 0.22 93.78 430427 | 1 0.22 94.00 430428 | 1 0.22 94.22 430429 | 1 0.22 94.44 430430 | 1 0.22 94.67 430431 | 1 0.22 94.89 430432 | 1 0.22 95.11 430433 | 1 0.22 95.33 430434 | 1 0.22 95.56 430435 | 1 0.22 95.78 430436 | 1 0.22 96.00 430437 | 1 0.22 96.22 430438 | 1 0.22 96.44 430439 | 1 0.22 96.67 430440 | 1 0.22 96.89 430441 | 1 0.22 97.11 430442 | 1 0.22 97.33 430443 | 1 0.22 97.56 430444 | 1 0.22 97.78 430445 | 1 0.22 98.00 430446 | 1 0.22 98.22 430447 | 1 0.22 98.44 430448 | 1 0.22 98.67 430449 | 1 0.22 98.89 430450 | 1 0.22 99.11 430451 | 1 0.22 99.33 430452 | 1 0.22 99.56 430453 | 1 0.22 99.78 430454 | 1 0.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for city variable in accident dataset : City | Freq. Percent Cum. ------------+----------------------------------- 20 | 5 1.11 1.11 30 | 14 3.11 4.22 40 | 3 0.67 4.89 70 | 4 0.89 5.78 90 | 22 4.89 10.67 100 | 2 0.44 11.11 120 | 1 0.22 11.33 130 | 3 0.67 12.00 140 | 24 5.33 17.33 160 | 3 0.67 18.00 170 | 21 4.67 22.67 180 | 3 0.67 23.33 190 | 5 1.11 24.44 200 | 20 4.44 28.89 220 | 6 1.33 30.22 230 | 3 0.67 30.89 240 | 1 0.22 31.11 270 | 2 0.44 31.56 280 | 7 1.56 33.11 290 | 6 1.33 34.44 310 | 1 0.22 34.67 320 | 2 0.44 35.11 360 | 13 2.89 38.00 380 | 4 0.89 38.89 420 | 1 0.22 39.11 430 | 8 1.78 40.89 440 | 2 0.44 41.33 450 | 13 2.89 44.22 460 | 4 0.89 45.11 470 | 4 0.89 46.00 480 | 5 1.11 47.11 490 | 2 0.44 47.56 500 | 8 1.78 49.33 510 | 6 1.33 50.67 520 | 4 0.89 51.56 530 | 4 0.89 52.44 540 | 7 1.56 54.00 550 | 3 0.67 54.67 570 | 7 1.56 56.22 590 | 3 0.67 56.89 600 | 3 0.67 57.56 610 | 2 0.44 58.00 620 | 10 2.22 60.22 630 | 2 0.44 60.67 640 | 1 0.22 60.89 650 | 11 2.44 63.33 670 | 3 0.67 64.00 680 | 3 0.67 64.67 690 | 4 0.89 65.56 700 | 2 0.44 66.00 710 | 4 0.89 66.89 740 | 3 0.67 67.56 760 | 11 2.44 70.00 768 | 3 0.67 70.67 790 | 5 1.11 71.78 820 | 9 2.00 73.78 830 | 17 3.78 77.56 860 | 5 1.11 78.67 900 | 2 0.44 79.11 920 | 3 0.67 79.78 930 | 28 6.22 86.00 940 | 4 0.89 86.89 950 | 4 0.89 87.78 960 | 2 0.44 88.22 964 | 13 2.89 91.11 970 | 3 0.67 91.78 980 | 12 2.67 94.44 990 | 3 0.67 95.11 1000 | 2 0.44 95.56 1010 | 4 0.89 96.44 1020 | 12 2.67 99.11 1040 | 2 0.44 99.56 1060 | 2 0.44 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for milept variable in accident dataset : Milepoint | Freq. Percent Cum. ------------+----------------------------------- 0 | 141 31.33 31.33 1 | 14 3.11 34.44 2 | 6 1.33 35.78 3 | 9 2.00 37.78 4 | 4 0.89 38.67 5 | 5 1.11 39.78 6 | 6 1.33 41.11 7 | 4 0.89 42.00 8 | 3 0.67 42.67 9 | 2 0.44 43.11 10 | 1 0.22 43.33 11 | 3 0.67 44.00 12 | 5 1.11 45.11 13 | 3 0.67 45.78 14 | 4 0.89 46.67 15 | 3 0.67 47.33 16 | 1 0.22 47.56 17 | 4 0.89 48.44 18 | 4 0.89 49.33 19 | 3 0.67 50.00 21 | 7 1.56 51.56 22 | 1 0.22 51.78 23 | 5 1.11 52.89 24 | 2 0.44 53.33 25 | 4 0.89 54.22 26 | 2 0.44 54.67 27 | 1 0.22 54.89 28 | 2 0.44 55.33 29 | 2 0.44 55.78 30 | 2 0.44 56.22 32 | 1 0.22 56.44 33 | 2 0.44 56.89 34 | 1 0.22 57.11 36 | 2 0.44 57.56 37 | 1 0.22 57.78 38 | 4 0.89 58.67 40 | 2 0.44 59.11 41 | 1 0.22 59.33 42 | 1 0.22 59.56 43 | 1 0.22 59.78 44 | 3 0.67 60.44 45 | 1 0.22 60.67 46 | 4 0.89 61.56 47 | 1 0.22 61.78 48 | 2 0.44 62.22 51 | 2 0.44 62.67 54 | 1 0.22 62.89 57 | 1 0.22 63.11 58 | 3 0.67 63.78 59 | 1 0.22 64.00 60 | 1 0.22 64.22 62 | 1 0.22 64.44 69 | 2 0.44 64.89 71 | 1 0.22 65.11 72 | 1 0.22 65.33 74 | 1 0.22 65.56 75 | 2 0.44 66.00 76 | 1 0.22 66.22 77 | 3 0.67 66.89 78 | 2 0.44 67.33 79 | 3 0.67 68.00 81 | 1 0.22 68.22 84 | 1 0.22 68.44 86 | 2 0.44 68.89 87 | 1 0.22 69.11 88 | 1 0.22 69.33 90 | 1 0.22 69.56 94 | 1 0.22 69.78 95 | 2 0.44 70.22 96 | 1 0.22 70.44 97 | 1 0.22 70.67 98 | 1 0.22 70.89 99 | 2 0.44 71.33 104 | 1 0.22 71.56 108 | 1 0.22 71.78 111 | 3 0.67 72.44 113 | 1 0.22 72.67 114 | 1 0.22 72.89 116 | 1 0.22 73.11 119 | 1 0.22 73.33 123 | 2 0.44 73.78 124 | 3 0.67 74.44 127 | 1 0.22 74.67 135 | 1 0.22 74.89 136 | 1 0.22 75.11 141 | 2 0.44 75.56 149 | 1 0.22 75.78 153 | 1 0.22 76.00 155 | 1 0.22 76.22 157 | 1 0.22 76.44 158 | 2 0.44 76.89 159 | 1 0.22 77.11 161 | 2 0.44 77.56 162 | 1 0.22 77.78 168 | 2 0.44 78.22 172 | 1 0.22 78.44 176 | 1 0.22 78.67 177 | 1 0.22 78.89 179 | 1 0.22 79.11 186 | 1 0.22 79.33 189 | 1 0.22 79.56 202 | 1 0.22 79.78 204 | 1 0.22 80.00 210 | 1 0.22 80.22 211 | 2 0.44 80.67 212 | 1 0.22 80.89 216 | 1 0.22 81.11 217 | 1 0.22 81.33 219 | 2 0.44 81.78 221 | 2 0.44 82.22 234 | 1 0.22 82.44 264 | 1 0.22 82.67 267 | 2 0.44 83.11 272 | 1 0.22 83.33 274 | 1 0.22 83.56 276 | 1 0.22 83.78 291 | 1 0.22 84.00 302 | 1 0.22 84.22 304 | 1 0.22 84.44 307 | 1 0.22 84.67 312 | 2 0.44 85.11 313 | 1 0.22 85.33 315 | 1 0.22 85.56 319 | 1 0.22 85.78 356 | 1 0.22 86.00 377 | 1 0.22 86.22 386 | 1 0.22 86.44 390 | 1 0.22 86.67 391 | 1 0.22 86.89 393 | 1 0.22 87.11 398 | 1 0.22 87.33 405 | 1 0.22 87.56 412 | 1 0.22 87.78 422 | 1 0.22 88.00 424 | 1 0.22 88.22 425 | 1 0.22 88.44 437 | 1 0.22 88.67 448 | 1 0.22 88.89 476 | 1 0.22 89.11 490 | 1 0.22 89.33 491 | 1 0.22 89.56 496 | 1 0.22 89.78 501 | 1 0.22 90.00 617 | 1 0.22 90.22 654 | 1 0.22 90.44 687 | 1 0.22 90.67 720 | 1 0.22 90.89 731 | 1 0.22 91.11 737 | 1 0.22 91.33 743 | 1 0.22 91.56 768 | 1 0.22 91.78 792 | 1 0.22 92.00 807 | 1 0.22 92.22 862 | 1 0.22 92.44 871 | 1 0.22 92.67 872 | 1 0.22 92.89 890 | 1 0.22 93.11 924 | 1 0.22 93.33 973 | 1 0.22 93.56 989 | 1 0.22 93.78 992 | 1 0.22 94.00 1069 | 1 0.22 94.22 1404 | 1 0.22 94.44 99999 | 1 0.22 94.67 . | 24 5.33 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for tway_id variable in accident dataset : Trafficway | ID | Freq. Percent Cum. ------------+----------------------------------- 0000000000 | 1 0.22 0.22 1 | 12 2.67 2.89 1 INTAPOLO | 1 0.22 3.11 10 | 1 0.22 3.33 100 | 1 0.22 3.56 100INT 102 | 1 0.22 3.78 102 | 1 0.22 4.00 105 | 1 0.22 4.22 106 | 1 0.22 4.44 107 | 2 0.44 4.89 109 | 1 0.22 5.11 110 | 2 0.44 5.56 110 INT465 | 1 0.22 5.78 110 INT471 | 1 0.22 6.00 111 | 5 1.11 7.11 111 INT125 | 1 0.22 7.33 112 | 2 0.44 7.78 113 | 2 0.44 8.22 114 | 1 0.22 8.44 116 | 2 0.44 8.89 119 | 3 0.67 9.56 121 | 2 0.44 10.00 128 | 1 0.22 10.22 129 | 4 0.89 11.11 129INT 453 | 1 0.22 11.33 130 | 1 0.22 11.56 14 | 9 2.00 13.56 14 INT 153 | 1 0.22 13.78 14 INT 545 | 1 0.22 14.00 141 | 1 0.22 14.22 143 | 1 0.22 14.44 144 | 2 0.44 14.89 149 | 3 0.67 15.56 152 | 1 0.22 15.78 153 | 1 0.22 16.00 154 | 1 0.22 16.22 155 | 3 0.67 16.89 156 | 3 0.67 17.56 157 | 1 0.22 17.78 159 | 1 0.22 18.00 165 | 6 1.33 19.33 167 | 6 1.33 20.67 167 INTC-1 | 1 0.22 20.89 168 | 1 0.22 21.11 17 | 1 0.22 21.33 171 | 1 0.22 21.56 172 | 6 1.33 22.89 174 INT C5 | 1 0.22 23.11 174INTANEL | 1 0.22 23.33 175 | 1 0.22 23.56 176 | 1 0.22 23.78 177 | 2 0.44 24.22 178 | 1 0.22 24.44 179 | 1 0.22 24.67 18 | 3 0.67 25.33 181 | 1 0.22 25.56 183 | 4 0.89 26.44 184 | 1 0.22 26.67 185 | 4 0.89 27.56 187 | 4 0.89 28.44 188 | 2 0.44 28.89 1INTLMARIN | 1 0.22 29.11 2 | 76 16.89 46.00 2 INT 417 | 1 0.22 46.22 2 INT AVE | 1 0.22 46.44 20 | 2 0.44 46.89 21 INT C17 | 1 0.22 47.11 22 | 6 1.33 48.44 22SALIDA18 | 1 0.22 48.67 23 | 1 0.22 48.89 23INTUNION | 1 0.22 49.11 25 | 1 0.22 49.33 26 | 9 2.00 51.33 26 AIRPORT | 1 0.22 51.56 26 PDA 22 | 1 0.22 51.78 26INTRAMAL | 1 0.22 52.00 27 | 1 0.22 52.22 27 INT | 1 0.22 52.44 29 | 1 0.22 52.67 2INTHOSTOS | 1 0.22 52.89 3 | 28 6.22 59.11 3 INT 967 | 1 0.22 59.33 3 INT C-3 | 1 0.22 59.56 30 | 6 1.33 60.89 305 | 1 0.22 61.11 307 | 1 0.22 61.33 31 | 2 0.44 61.78 325 | 1 0.22 62.00 328 | 1 0.22 62.22 335 | 1 0.22 62.44 345 INT346 | 1 0.22 62.67 35 | 1 0.22 62.89 357 | 1 0.22 63.11 371 | 1 0.22 63.33 402 | 1 0.22 63.56 402 INT401 | 1 0.22 63.78 431 | 1 0.22 64.00 446 INT125 | 1 0.22 64.22 459 | 2 0.44 64.67 472 | 1 0.22 64.89 477 | 1 0.22 65.11 482 | 1 0.22 65.33 485 | 1 0.22 65.56 501 | 1 0.22 65.78 510 | 1 0.22 66.00 52 | 8 1.78 67.78 546 | 2 0.44 68.22 567 | 1 0.22 68.44 569 | 1 0.22 68.67 591ELTUQUE | 1 0.22 68.89 615 | 1 0.22 69.11 639 | 1 0.22 69.33 64 | 1 0.22 69.56 651 | 2 0.44 70.00 662 | 1 0.22 70.22 681 | 2 0.44 70.67 682 | 1 0.22 70.89 684 | 1 0.22 71.11 685 | 1 0.22 71.33 686 | 2 0.44 71.78 687 | 1 0.22 72.00 688 | 1 0.22 72.22 693 | 2 0.44 72.67 696 | 1 0.22 72.89 748 | 1 0.22 73.11 759 | 1 0.22 73.33 771 | 1 0.22 73.56 784 K3 H6 | 1 0.22 73.78 793 | 1 0.22 74.00 794 | 1 0.22 74.22 8 | 3 0.67 74.89 814 | 1 0.22 75.11 823 | 1 0.22 75.33 833 | 1 0.22 75.56 834 | 1 0.22 75.78 842 | 1 0.22 76.00 844 | 1 0.22 76.22 845 | 1 0.22 76.44 846 | 1 0.22 76.67 851 | 1 0.22 76.89 865 | 2 0.44 77.33 867 | 2 0.44 77.78 872 | 1 0.22 78.00 874 | 1 0.22 78.22 879 | 1 0.22 78.44 887 | 1 0.22 78.67 8INT RIAZA | 1 0.22 78.89 914 | 1 0.22 79.11 923 | 1 0.22 79.33 924 | 1 0.22 79.56 931 | 2 0.44 80.00 941 | 1 0.22 80.22 958 | 2 0.44 80.67 965 | 1 0.22 80.89 966 | 1 0.22 81.11 975 | 1 0.22 81.33 987 | 2 0.44 81.78 A MIRANDA | 1 0.22 82.00 A NEREIDAS | 1 0.22 82.22 ABORINQUEN | 2 0.44 82.67 ABOULEVARD | 1 0.22 82.89 ACRISALIDA | 1 0.22 83.11 AVE LAUREL | 1 0.22 83.33 AVE TEJAS | 1 0.22 83.56 AVEALCAZAR | 1 0.22 83.78 AVEGALICIA | 1 0.22 84.00 AVEMRIVERA | 1 0.22 84.22 AVENELSONM | 1 0.22 84.44 AVESANCHEZ | 1 0.22 84.67 AVETNTMTNE | 1 0.22 84.89 BETANCES | 1 0.22 85.11 BO CAIMITO | 1 0.22 85.33 BO JAGUA | 1 0.22 85.56 BO MARIANA | 1 0.22 85.78 BO POZO | 1 0.22 86.00 BO.PILETAS | 1 0.22 86.22 C BARBOSA | 1 0.22 86.44 C-1 | 1 0.22 86.67 C-3 | 1 0.22 86.89 C-56 S-E | 1 0.22 87.11 C-A | 1 0.22 87.33 C-AMERICA | 1 0.22 87.56 C-CAROLINA | 1 0.22 87.78 C-CORTIJO | 1 0.22 88.00 C-DELVALLE | 1 0.22 88.22 C-LUNA | 1 0.22 88.44 C-MCKENLEY | 1 0.22 88.67 C-MORSE | 1 0.22 88.89 C-POST SUR | 1 0.22 89.11 C-SICILIA | 1 0.22 89.33 C-STA.CRUZ | 1 0.22 89.56 C242INT230 | 1 0.22 89.78 C38 INTC22 | 1 0.22 90.00 CACHURCHIL | 1 0.22 90.22 CAMPO RICO | 1 0.22 90.44 CANDELARIA | 1 0.22 90.67 CAPETILLO | 1 0.22 90.89 CAPRICIPAL | 1 0.22 91.11 CCAPUCHINO | 1 0.22 91.33 CHERNANDEZ | 1 0.22 91.56 CLASFLORES | 1 0.22 91.78 COMANDANTE | 1 0.22 92.00 CPRINCIPAL | 2 0.44 92.44 CUCHARILLA | 1 0.22 92.67 DE DIEGO | 1 0.22 92.89 ESTGALLERA | 1 0.22 93.11 ESTV.VERDE | 1 0.22 93.33 EXPAMERICA | 1 0.22 93.56 F. JUNCOS | 1 0.22 93.78 G BENITEZ | 1 0.22 94.00 G. BENITEZ | 1 0.22 94.22 I ARZUAGA | 1 0.22 94.44 ITURREGUI | 2 0.44 94.89 L M MARIN | 1 0.22 95.11 LASNEREIDA | 1 0.22 95.33 LASPALMAS | 1 0.22 95.56 M MARIN | 1 0.22 95.78 MACKARTHUR | 1 0.22 96.00 MAGDALENA | 1 0.22 96.22 MARGINAL26 | 3 0.67 96.89 MUNICIPAL | 1 0.22 97.11 NORZAGARAY | 1 0.22 97.33 P DE LEON | 1 0.22 97.56 PARKGARDEN | 1 0.22 97.78 PONTEZUELA | 1 0.22 98.00 QDA.GRANDE | 1 0.22 98.22 QUEB LAJAS | 1 0.22 98.44 RAMAL 444 | 1 0.22 98.67 SABANAERA | 1 0.22 98.89 SAN ISIDRO | 1 0.22 99.11 SANIGNACIO | 1 0.22 99.33 U-ALTAMESA | 1 0.22 99.56 URB.SLINDA | 1 0.22 99.78 VISRAMAR | 1 0.22 100.00 ------------+----------------------------------- Total | 450 100.00 Frequencies for rail variable in accident dataset : Rail Grade | Xing ID | Freq. Percent Cum. ------------+----------------------------------- 0000000 | 450 100.00 100.00 ------------+----------------------------------- Total | 450 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016