STL Carjacks
Jim Donovan
Jan 14, 2020
Collected Crime Data from the STL Metropolitan Police Website
The STL Metropolitan Police produces a monthly crime update.
Stored in a csv format and can be downloaded.
Located at https://www.slmpd.org/Crimereports.shtml.
The file provides all crime details collected from the preceding month.
Contains locations, neighborhoods, precincts, map coordinates and times of crimes in the St Louis Metropolitan Area.
Download data
# Collect St Louis City crime UCR statistics
# pull in state coordinate system files from st louis police reports using data.table
crime <- fread("Group2018.csv", stringsAsFactors=FALSE)
head(crime)## Complaint CodedMonth DateOccur FlagCrime FlagUnfounded
## 1: 19-000184 2018-12 12/31/2018 15:30 Y NA
## 2: 18-061560 2018-12 12/31/2018 15:30 Y NA
## 3: 18-061560 2018-12 12/31/2018 15:30 Y NA
## 4: 18-061554 2018-12 12/31/2018 15:00 Y NA
## 5: 18-061561 2018-12 12/31/2018 14:45 Y NA
## 6: 19-000083 2018-12 12/31/2018 14:30 Y NA
## FlagAdministrative Count FlagCleanup Crime District
## 1: NA 1 NA 64601 3
## 2: NA 1 NA 91123 1
## 3: NA 1 NA 91113 1
## 4: NA 1 NA 265321 6
## 5: NA 1 NA 64701 5
## 6: NA 1 NA 64701 1
## Description ILEADSAddress
## 1: LARCENY-FROM MTR VEH $500 - $24,999 0
## 2: SIMPLE ASSAULT-CHILD/NO INJURY 4117
## 3: SIMPLE ASSAULT-ADULT/NO INJURY 4117
## 4: LEAVING SCENE OF ACCIDENT 0
## 5: LARCENY-FROM MTR VEH UNDER $500 0
## 6: LARCENY-FROM MTR VEH UNDER $500 2920
## ILEADSStreet Neighborhood LocationName LocationComment
## 1: S 3RD ST / GEYER AVE 20
## 2: GERMANIA ST 4
## 3: GERMANIA ST 4
## 4: N KINGSHIGHWAY BLVD / NATURAL 55
## 5: ANNIE MALONE DR / W SAINT FERD 57
## 6: MERAMEC ST 17 US POST OFFICE
## CADAddress CADStreet XCoord YCoord
## 1: NA 906024.9 1009980.0
## 2: 4117 GERMANIA 882747.7 992739.9
## 3: 4117 GERMANIA 882747.7 992739.9
## 4: 4223 ENRIGHT 891049.0 1035207.0
## 5: NA 895101.4 1028721.0
## 6: 5410 IDAHO 895897.0 1000157.0Review Data Values
Some fields are irrelevant to our analysis.
Flags NOT needed
Count NOT useful
We will remove these elements using a tidyverse library called dplyr.
We will also have to restructure date/time variables.
Adjust Data Structures to Match those Needed for Analysis
Wanted to select a specific crime. In this case we will look at St Louis Armed Carjackings.
Some data fields are not relevant to the analysis so I’ve limited the data to the following 6 elements.
Carjackings are UCR coded as 38111.
During this phase wanted to determine data types.
The mix is a combination of characters string and integers.
Re-charactize some elements to more easily manipulate later.
“CodedMonth” and “DateOccur” are NOT date/time elements, so they need to be changed.
Prepare Data for Manipulating Date/time Fields
Use stringr and lubridate libraries to change data types.
Change “CodedMonth” to a string value closer to one resembling a year/month/day field.
Used 28th as the “end of month” value so I do not have to constantly worry about the changing EOM value.
Since the data is reported as monthly report, will not significantly affect the monthly crime perspective.
Next I create a concatonated string group and convert that field into a POSIX day/month/day variable
## Complaint CodedMonth DateOccur
## Length:553 Min. :2018-01-28 Min. :2018-01-01 10:53:00
## Class :character 1st Qu.:2018-07-28 1st Qu.:2018-07-28 10:49:00
## Mode :character Median :2018-12-28 Median :2018-12-20 18:02:00
## Mean :2019-01-19 Mean :2019-01-07 02:44:32
## 3rd Qu.:2019-06-28 3rd Qu.:2019-06-26 01:50:00
## Max. :2019-12-28 Max. :2019-12-31 20:25:00
##
## Crime District Description ILEADSAddress
## Min. :38111 Min. :0.000 Length:553 Min. : 0
## 1st Qu.:38111 1st Qu.:3.000 Class :character 1st Qu.: 1183
## Median :38111 Median :4.000 Mode :character Median : 3174
## Mean :38111 Mean :3.915 Mean : 2989
## 3rd Qu.:38111 3rd Qu.:5.000 3rd Qu.: 4448
## Max. :38111 Max. :6.000 Max. :10325
## NA's :1
## ILEADSStreet Neighborhood LocationName LocationComment
## Length:553 Min. : 0.00 Length:553 Length:553
## Class :character 1st Qu.:25.00 Class :character Class :character
## Mode :character Median :47.00 Mode :character Mode :character
## Mean :44.13
## 3rd Qu.:63.00
## Max. :86.00
##
## CADAddress CADStreet XCoord YCoord
## Min. : 35 Length:553 Min. : 0 Min. : 0
## 1st Qu.:1920 Class :character 1st Qu.:888870 1st Qu.:1009898
## Median :3822 Mode :character Median :894637 Median :1023023
## Mean :3626 Mean :880091 Mean :1004900
## 3rd Qu.:4806 3rd Qu.:900300 3rd Qu.:1031388
## Max. :9151 Max. :911183 Max. :1068450
## NA's :143Reporting Delays
An interesting side note are the differences between reporting day and actual incident date.
Some of the records are reported significantly longer than 30 days.
## Reporting.diff YCoord XCoord CADStreet CADAddress
## 1 51 days 0.0 0.0 PAGE 6250
## 2 39 days 1033804.0 881699.4 AMHERST 1436
## 3 37 days 1024267.0 907942.8 KISLING 2124
## 4 36 days 1019998.0 908631.4 COLE 809
## 5 33 days 1040186.0 890790.9 ARLINGTON 4533
## 6 32 days 1017205.0 909303.9 NA
## 7 31 days 0.0 0.0 GRACE 4401
## 8 31 days 0.0 0.0 VERMONT 7320
## 9 30 days 1032898.0 894410.2 TAYLOR 3217
## 10 29 days 1011557.0 900895.3 NA
## 11 29 days 1025842.0 878629.1 NA
## 12 28 days 1033201.0 887551.0 NA
## 13 27 days 1022067.0 906689.7 PRESERVATION 1463
## 14 27 days 1032025.0 892100.3 HIGHLAND 4784
## 15 27 days 1026678.0 898056.9 NA
## 16 27 days 1000849.0 892112.4 38TH 4268
## 17 27 days 1020318.0 908671.3 CARR 825
## 18 27 days 1049981.0 894686.4 NA
## 19 27 days 1019433.0 910439.8 2ND 999
## 20 27 days 1005883.0 899902.0 WITHNELL 2021
## 21 27 days 1025862.0 891902.0 WEST BELLE 4374
## 22 27 days 1000599.0 885499.6 GILSON 5311
## 23 27 days 1024026.0 904756.4 19TH 1636
## 24 27 days 1023487.0 901253.6 THOMAS 2807
## 25 27 days 987117.1 890756.6 BROADWAY 7606
## 26 27 days 1000754.0 895093.4 BROADWAY 4347
## 27 27 days 1020209.0 903370.6 21ST 715
## 28 27 days 1033459.0 886231.1 WABADA 5422
## 29 27 days 1031078.0 879442.1 HODIAMONT 1145
## 30 27 days 1033302.0 893886.8 LEXINGTON 4561
## 31 27 days 995434.9 888069.6 BOWEN 3841
## 32 27 days 1010107.0 902682.4 ANN 1301
## 33 27 days 1025983.0 905960.9 NA
## 34 27 days 1012107.0 896182.6 NA
## 35 27 days 1029422.0 888174.5 KINGSHIGHWAY 1315
## 36 27 days 1033470.0 882043.7 HAMILTON 1426
## 37 27 days 1035715.0 900299.9 NA
## 38 27 days 1022423.0 891587.9 LINDELL 4251
## 39 26 days 1048751.0 897125.8 BROADWAY 8337
## 40 26 days 1022698.0 907555.6 BELLE 4018
## 41 26 days 1013104.0 904303.9 NA
## 42 26 days 1014736.0 902124.4 MISSISSIPPI 1111
## 43 26 days 1026782.0 906532.4 NA
## 44 26 days 1030026.0 892902.5 NA
## 45 26 days 1004790.0 893715.1 NA
## 46 26 days 1024934.0 894497.6 C D BANKS 4077
## 47 26 days 993195.2 892957.9 NA
## 48 26 days 1024026.0 908623.6 NA
## 49 26 days 0.0 0.0 NA
## 50 26 days 1022377.0 895875.6 NA
## 51 25 days 996238.5 894505.3 MINNESOTA 4101
## 52 25 days 997694.2 894626.7 MOUNT PLEASANT 3117
## 53 25 days 1037195.0 892139.8 NA
## 54 25 days 1018889.0 908727.5 7TH 1021
## 55 25 days 1035410.0 891316.0 KINGSHIGHWAY 3720
## 56 25 days 1021109.0 893376.9 NA
## 57 25 days 1034147.0 900663.0 GREER 3840
## 58 25 days 1019433.0 910439.8 2ND 999
## 59 25 days 1002473.0 890869.8 GUSTINE 3929
## 60 25 days 1019821.0 904601.6 LUCAS 1805
## 61 25 days 998769.4 893948.5 OLIVE 1915
## 62 25 days 1018828.0 904673.6 OLIVE 1915
## 63 25 days 1010713.0 904411.4 GEYER 925
## 64 24 days 997824.3 894113.8 COMPTON 4549
## 65 24 days 1018269.0 909836.6 NA
## 66 24 days 1018627.0 905442.8 OLIVE 1500
## 67 24 days 1010155.0 895913.8 CALIFORNIA 2918
## 68 24 days 1026102.0 899714.1 COLEMAN 2429
## 69 24 days 1043050.0 891040.9 NA
## 70 24 days 1026944.0 890219.1 MCMILLAN 4628
## 71 24 days 1032371.0 886791.0 COTE BRILLIANTE 5320
## 72 24 days 1032809.0 895263.6 NA
## 73 24 days 1034081.0 894850.4 MARGARETTA 4514
## 74 24 days 1003242.0 887371.9 MORGANFORD 4341
## 75 24 days 1004474.0 893986.8 NA
## 76 24 days 0.0 0.0 NA
## 77 23 days 1047670.0 891497.8 PARK 5801
## 78 23 days 1030498.0 886083.9 NA
## 79 23 days 1008985.0 903808.6 LAMI 1000
## 80 23 days 1024324.0 908098.4 MADISON 1310
## 81 23 days 993924.8 893717.3 PENNSYLVANIA 5517
## 82 23 days 1034276.0 891530.3 NA
## 83 23 days 999780.6 885507.7 GERTRUDE 5419
## 84 23 days 1024178.0 904374.2 MADISON 2000
## 85 23 days 1022767.0 906324.1 NA
## 86 23 days 1027408.0 882347.8 ENRIGHT 5628
## 87 23 days 1025687.0 878171.4 WATERMAN 6100
## 88 23 days 1028560.0 906240.2 9TH 1421
## 89 23 days 1001089.0 893331.3 WEIMAR 8204
## 90 23 days 1023663.0 890670.6 PERSHING 4400
## 91 23 days 1022560.0 897517.4 GRAND 900
## 92 23 days 1032809.0 895263.6 NA
## 93 23 days 1002881.0 895726.6 MINNESOTA 8524
## 94 23 days 1008784.0 903786.4 NA
## 95 23 days 1025314.0 901594.4 JEFFERSON 919
## 96 23 days 1028592.0 884290.6 CABANNE 5409
## 97 22 days 1028232.0 882601.6 CATES 5614
## 98 22 days 1019288.0 906030.1 NA
## 99 22 days 1030180.0 896522.1 WHITTIER 3015
## 100 22 days 1026418.0 906522.9 14TH 2826
## 101 22 days 1014165.0 904320.1 NA
## 102 22 days 996267.4 892254.8 IDAHO 5201
## 103 22 days 999632.5 880646.1 RHODES 5513
## 104 22 days 1018534.0 908187.4 TUCKER 721
## 105 22 days 995160.5 891709.3 BOWEN 3929
## 106 22 days 1007492.0 893779.1 CONNECTICUT 3612
## 107 22 days 1014515.0 889490.3 MCREE 4340
## 108 22 days 1020966.0 895981.3 NA
## 109 22 days 1033244.0 881858.6 NA
## 110 22 days 1016196.0 890902.9 NA
## 111 22 days 1032664.0 898095.8 FAIR 4017
## 112 22 days 1032097.0 879842.8 HODIAMONT 1217
## 113 22 days 997033.9 894636.6 CHIPPEWA 3144
## 114 21 days 1026535.0 887696.4 KINGSHIGHWAY 707
## 115 21 days 1032063.0 895053.3 NA
## 116 21 days 1029332.0 905693.4 MALLINCKRODT 1510
## 117 21 days 1047398.0 889879.7 NORTH POINTE 6034
## 118 21 days 1048751.0 897125.8 BROADWAY 8337
## 119 21 days 999230.8 892721.9 GRAND 4432
## 120 21 days 1044904.0 888020.0 NA
## 121 21 days 1020826.0 907500.8 TUCKER 1119
## 122 21 days 1034662.0 900142.6 FLORISSANT 4126
## 123 21 days 1034267.0 904878.5 NA
## 124 21 days 1045719.0 891258.3 NA
## 125 21 days 1000325.0 894882.5 MERAMEC 3127
## 126 21 days 1020849.0 900917.5 SAMUEL SHEPARD 2833
## 127 21 days 1029512.0 882811.3 MAPLE 5641
## 128 21 days 1007575.0 898506.2 OHIO 3002
## 129 21 days 996626.4 891009.6 GRAND 5008
## 130 20 days 996672.1 890971.8 ALASKA 5235
## 131 20 days 1005778.0 898682.3 JEFFERSON 3249
## 132 20 days 1015789.0 879189.3 TAMM 1516
## 133 20 days 998082.6 895474.8 NEBRASKA 4501
## 134 20 days 1004988.0 896577.8 NEBRASKA 3429
## 135 20 days 1043114.0 888467.3 WREN 4752
## 136 20 days 1014110.0 875890.2 FRANZ PARK 2131
## 137 20 days 1032237.0 882389.1 RIDGE 5800
## 138 20 days 1022793.0 891186.0 MARYLAND 4340
## 139 20 days 1019492.0 906857.6 WASHINGTON 1133
## 140 20 days 1013310.0 891522.2 NA
## 141 20 days 1019821.0 904601.6 DELMAR 1701
## 142 20 days 1028288.0 888144.4 KINGSHIGHWAY 1158
## 143 20 days 1002838.0 895719.7 MINNESOTA 3807
## 144 20 days 1025640.0 891300.3 ENRIGHT 4424
## 145 20 days 1017436.0 890774.8 MANCHESTER 4243
## 146 19 days 1023544.0 888372.1 EUCLID 335
## 147 19 days 1043237.0 888870.4 SALOMA 5850
## 148 19 days 1029551.0 888196.6 KINGSHIGHWAY 1341
## 149 19 days 1025732.0 877806.4 WATERMAN 6138
## 150 19 days 1031186.0 883446.4 MONTCLAIR 1325
## 151 19 days 1006407.0 893690.8 GRAND 3310
## 152 19 days 1035169.0 895337.6 RICHARD 4400
## 153 19 days 1029203.0 899464.0 HOGAN 1316
## 154 19 days 999613.8 896910.7 BROADWAY 4347
## 155 19 days 1026670.0 886728.1 ENRIGHT 5100
## 156 19 days 997098.4 891747.8 TENNESSEE 5020
## 157 19 days 1044000.0 893144.3 NA
## 158 19 days 1025868.0 881158.9 MCPHERSON 5742
## 159 19 days 998349.3 894365.1 COMPTON 4456
## 160 19 days 1037322.0 896093.4 NA
## 161 19 days 997668.3 895406.2 NEBRASKA 4543
## 162 19 days 1003740.0 900549.7 NA
## 163 19 days 1051805.0 897035.2 HARLAN 850
## 164 18 days 1007841.0 893657.0 NA
## 165 18 days 0.0 0.0 MIAMI 3300
## 166 18 days 1021629.0 907656.9 NA
## 167 18 days 1020980.0 900393.5 SAMUEL SHEPARD 2933
## 168 18 days 1025864.0 879891.8 NINA 5845
## 169 18 days 1015056.0 893465.7 PARK 3844
## 170 18 days 1022642.0 905278.8 OFALLON 1919
## 171 18 days 1068450.0 910816.6 NA
## 172 18 days 1025805.0 896742.0 GARRISON 2761
## 173 18 days 1063653.0 907852.8 NA
## 174 18 days 1029326.0 906228.9 NA
## 175 18 days 1012925.0 874059.8 MANCHESTER 7147
## 176 18 days 1026661.0 897108.2 NA
## 177 18 days 1036791.0 891910.8 UNION 4014
## 178 18 days 1005658.0 895105.4 NEBRASKA 4000
## 179 18 days 1001573.0 896032.9 NEBRASKA 3945
## 180 18 days 1050014.0 896329.8 NA
## 181 18 days 1050719.0 895278.3 HORNSBY 1136
## 182 18 days 1033320.0 899492.6 CLAY 4206
## 183 18 days 1002734.0 891107.3 NA
## 184 18 days 1034809.0 896573.4 PENROSE 4447
## 185 17 days 1016111.0 889470.9 VISTA 4334
## 186 17 days 1027729.0 903754.5 COTE BRILLIANTE 5465
## 187 17 days 1016908.0 887228.5 NA
## 188 17 days 1026304.0 882223.8 CLARA 527
## 189 17 days 1008925.0 895358.0 NA
## 190 17 days 1032796.0 886162.2 NA
## 191 17 days 1024346.0 889475.4 MCPHERSON 4530
## 192 17 days 1033930.0 904493.6 NA
## 193 17 days 1004468.0 898014.3 OHIO 3456
## 194 17 days 1028398.0 880276.4 CATES 5894
## 195 17 days 1010245.0 899637.2 JEFFERSON 2280
## 196 17 days 999878.2 895674.0 MINNESOTA 4222
## 197 17 days 1009343.0 895805.7 NA
## 198 17 days 996692.9 891834.1 LOUISIANA 5055
## 199 17 days 1006755.0 895250.8 HUMPHREY 3311
## 200 17 days 1038923.0 884714.6 NA
## 201 17 days 1034571.0 896426.4 LEE 4402
## 202 17 days 1001534.0 892116.9 GILES 4061
## 203 17 days 1005077.0 887158.5 THOLOZAN 4401
## 204 17 days 1013230.0 892283.0 CASTLEMAN 3964
## 205 17 days 1023456.0 888715.3 MARYLAND 4622
## 206 17 days 1017299.0 908422.1 7TH 100
## 207 16 days 1026304.0 882223.8 CLARA 527
## 208 16 days 1012237.0 905682.5 NA
## 209 16 days 1025169.0 883432.3 WATERMAN 5521
## 210 16 days 1029801.0 901258.3 PENROSE 4043
## 211 16 days 988856.9 888863.8 STEINS 309
## 212 16 days 1031388.0 889900.9 NA
## 213 16 days 1023471.0 890714.8 MCPHERSON 4398
## 214 16 days 1025353.0 878135.1 PERSHING 6100
## 215 16 days 1042200.0 890843.9 GENEVIEVE 5272
## 216 16 days 1021365.0 896713.7 NA
## 217 16 days 995885.1 890701.1 NA
## 218 16 days 1034267.0 904878.5 BROADWAY 6124
## 219 16 days 1023446.0 899287.4 THOMAS 3117
## 220 16 days 1013177.0 888188.0 MAURY 1921
## 221 16 days 1009737.0 885152.8 HEREFORD 2900
## 222 16 days 1049518.0 894411.7 PARTRIDGE 8668
## 223 16 days 1011930.0 887858.8 PORTIS 2216
## 224 16 days 1007777.0 892845.9 JUNIATA 3722
## 225 16 days 1014760.0 891842.3 BLAINE 4053
## 226 16 days 1006774.0 894325.3 NA
## 227 16 days 1018654.0 907616.8 NA
## 228 15 days 1010016.0 903115.7 ANN 1208
## 229 15 days 1018059.0 883501.3 OAKLAND 5600
## 230 15 days 1001425.0 886869.0 MORGANFORD 4649
## 231 15 days 1032097.0 879842.8 ETZEL 6030
## 232 15 days 1003720.0 894532.9 NA
## 233 15 days 1044141.0 888572.6 LAURA 6100
## 234 15 days 1005567.0 895569.9 CHEROKEE 3147
## 235 15 days 1026304.0 882223.8 CLARA 527
## 236 15 days 1001127.0 887535.4 NA
## 237 15 days 1032097.0 879842.8 HODIAMONT 1229
## 238 15 days 1021791.0 900041.1 NA
## 239 15 days 1023755.0 890554.9 MCPHERSON 4404
## 240 15 days 1017879.0 890516.7 CHOUTEAU 4244
## 241 15 days 1010627.0 905431.6 NA
## 242 15 days 1014906.0 896532.2 VISTA 3300
## 243 15 days 1033362.0 900538.6 VANDEVENTER 1009
## 244 15 days 1030679.0 884675.9 NA
## 245 14 days 1022638.0 894129.9 OLIVE 3952
## 246 14 days 1033282.0 883682.5 NA
## 247 14 days 1013359.0 881224.1 NA
## 248 14 days 1038533.0 885556.4 NATURAL BRIDGE 5750
## 249 14 days 1006864.0 895696.3 GRAVOIS 3300
## 250 14 days 1029422.0 888174.5 NA
## 251 14 days 1021896.0 910226.3 JEFFERSON 919
## 252 14 days 1028591.0 896213.9 BELLE GLADE 2618
## 253 14 days 1012025.0 898369.1 CALIFORNIA 1933
## 254 14 days 1001538.0 893565.1 MONTANA 3451
## 255 14 days 1031881.0 885582.6 NA
## 256 14 days 1027383.0 878041.6 DELMAR 6144
## 257 14 days 1032569.0 895394.5 NA
## 258 14 days 1024741.0 904133.0 RAUSCHENBACH 1829
## 259 14 days 1032771.0 884276.6 UNION 1620
## 260 13 days 1016373.0 879421.8 GREGG 1440
## 261 13 days 1024718.0 891646.8 WASHINGTON 4349
## 262 13 days 1016448.0 906985.6 NA
## 263 13 days 1000950.0 896792.1 CALIFORNIA 4028
## 264 13 days 1005983.0 882472.1 PERNOD 5207
## 265 13 days 1021437.0 909398.9 7TH NA
## 266 13 days 1032448.0 887000.1 NA
## 267 13 days 1002340.0 893026.9 GRAND 3905
## 268 13 days 1052257.0 894861.8 RIVERVIEW 1163
## 269 13 days 1051196.0 895211.3 ANNETTA 8936
## 270 13 days 1028765.0 886736.9 VERNON 5129
## 271 13 days 1028715.0 883335.5 CABANNE 5515
## 272 13 days 995295.4 889200.5 WILMINGTON 3662
## 273 13 days 1003535.0 891081.5 GUSTINE 3729
## 274 13 days 1012529.0 892989.3 RUSSELL 3931
## 275 13 days 1028704.0 904215.1 22ND 3617
## 276 13 days 1030716.0 902355.3 NA
## 277 13 days 1009999.0 899363.8 JEFFERSON 2323
## 278 13 days 1018954.0 905006.6 LOCUST 1600
## 279 12 days 1007632.0 900666.5 SALENA 2859
## 280 12 days 1025787.0 879082.1 WATERMAN 5959
## 281 12 days 1037831.0 885479.2 DR MARTIN LUTHER KING 5588
## 282 12 days 1030072.0 902374.2 NATURAL BRIDGE 3520
## 283 12 days 1008376.0 894580.0 MAGNOLIA 3409
## 284 12 days 1039214.0 893169.0 KINGSHIGHWAY 5017
## 285 12 days 1012422.0 894304.4 NA
## 286 12 days 1025863.0 878460.8 WATERMAN 6045
## 287 12 days 1025850.0 907322.8 HADLEY 2601
## 288 12 days 1033764.0 889462.4 KINGSHIGHWAY 2860
## 289 12 days 1031079.0 894367.4 NA
## 290 12 days 1025112.0 889179.9 NA
## 291 12 days 1035101.0 893252.1 NA
## 292 11 days 1019815.0 911182.7 2ND 999
## 293 11 days 1026418.0 906522.9 FLORISSANT 2005
## 294 11 days 1020301.0 901258.1 WASHINGTON 217
## 295 11 days 1012781.0 893849.3 GRAND 1919
## 296 11 days 1035481.0 893071.4 FARLIN 4828
## 297 11 days 1011140.0 899847.8 ANN 2335
## 298 11 days 1008016.0 894824.6 HARTFORD 3429
## 299 11 days 1023439.0 892341.7 WESTMINSTER 4221
## 300 11 days 1002773.0 892989.4 DUNNICA 3625
## 301 11 days 994146.1 879370.3 GERMANIA 4847
## 302 11 days 1006406.0 896316.9 MINNESOTA 3224
## 303 11 days 1005468.0 898631.4 JEFFERSON 3315
## 304 11 days 1023023.0 907584.2 NA
## 305 11 days 999247.2 895850.2 NEBRASKA 4333
## 306 11 days 1000271.0 884729.5 DRESDEN 5150
## 307 11 days 1002210.0 897139.0 IOWA 3831
## 308 11 days 1033596.0 895281.5 SAN FRANCISCO 4451
## 309 11 days 1017489.0 891651.4 NA
## 310 11 days 1027391.0 879907.7 DELMAR 5901
## 311 11 days 1044511.0 887701.6 NA
## 312 11 days 1028079.0 898929.6 NA
## 313 10 days 1029999.0 906592.7 NA
## 314 10 days 1016048.0 882485.3 MANCHESTER 5701
## 315 10 days 1009898.0 896546.4 SIDNEY 3120
## 316 10 days 1035994.0 893464.3 LEE 4824
## 317 10 days 1003383.0 892503.7 LOUISIANA 4352
## 318 10 days 1006570.0 890083.3 MCDONALD 4061
## 319 10 days 1005097.0 895779.3 MICHIGAN 3430
## 320 10 days 1011232.0 892341.1 SHENANDOAH 3941
## 321 10 days 1018732.0 907318.9 NA
## 322 10 days 1022642.0 905278.8 TUCKER 721
## 323 10 days 1021998.0 906523.9 CASS 1502
## 324 10 days 1013694.0 893440.9 MCREE 3681
## 325 10 days 1012468.0 892371.3 RUSSELL 3950
## 326 10 days 1021428.0 895417.8 LINDELL 3733
## 327 10 days 1034274.0 881282.0 NORTH POINTE 6223
## 328 10 days 1013256.0 900561.2 MISSOURI 1525
## 329 9 days 1006407.0 893690.8 MINNESOTA 3700
## 330 9 days 1048860.0 896480.0 RIVERVIEW 1199
## 331 9 days 1010752.0 903094.1 GRAVOIS 1264
## 332 9 days 1035816.0 883185.4 NA
## 333 9 days 1022929.0 905088.9 CASS 1848
## 334 9 days 1031944.0 886528.8 THEODOSIA 5323
## 335 9 days 1028063.0 878256.1 NA
## 336 9 days 1006760.0 895224.1 WYOMING 3304
## 337 9 days 1048751.0 897125.8 BROADWAY 8337
## 338 9 days 1004943.0 896425.8 PENNSYLVANIA 3428
## 339 9 days 1012027.0 899074.9 ALLEN 2701
## 340 9 days 1034220.0 883499.3 GOODFELLOW 1469
## 341 9 days 1026957.0 898216.0 NA
## 342 9 days 1014512.0 902335.3 MISSISSIPPI 1000
## 343 9 days 1028237.0 905679.8 ANGELRODT 1924
## 344 9 days 1024807.0 878733.5 LINDELL 6023
## 345 9 days 1003134.0 891523.1 DUNNICA 3819
## 346 9 days 1020259.0 903383.0 21ST 715
## 347 9 days 1034739.0 895394.2 CAMELLIA 4111
## 348 9 days 1008741.0 896696.8 GRAND 3518
## 349 8 days 1020228.0 907715.5 NA
## 350 8 days 1013874.0 905392.9 TUCKER 1123
## 351 8 days 1034721.0 882837.4 NA
## 352 8 days 1011937.0 899651.5 NA
## 353 8 days 1010940.0 903782.9 NA
## 354 8 days 1049611.0 895054.3 ANNETTA 8702
## 355 8 days 1022605.0 906983.3 NA
## 356 8 days 1004658.0 898497.9 CHEROKEE 2720
## 357 8 days 1052696.0 897615.1 BROADWAY 8815
## 358 8 days 1002487.0 898351.1 NA
## 359 8 days 1046263.0 897515.1 NA
## 360 8 days 1013608.0 904161.0 PENNSYLVANIA 4814
## 361 8 days 1035847.0 884031.6 GOODFELLOW 2747
## 362 8 days 1019433.0 910439.8 2ND 999
## 363 8 days 1017618.0 891902.8 NA
## 364 8 days 1032097.0 879842.8 HODIAMONT 1223
## 365 8 days 1026842.0 880543.1 NA
## 366 8 days 1033959.0 894630.3 SAN FRANCISCO 4527
## 367 8 days 1028369.0 900369.5 NATURAL BRIDGE 3520
## 368 8 days 1028824.0 900455.4 GRAND 311
## 369 8 days 1008485.0 897359.9 PESTALOZZI 2847
## 370 8 days 1029703.0 892650.5 MARKET 4516
## 371 8 days 1024936.0 886645.3 WATERMAN 5086
## 372 8 days 1040788.0 891809.6 UNION 4540
## 373 8 days 1040667.0 886692.3 GOODFELLOW 4300
## 374 7 days 1013589.0 902927.2 PARK 1711
## 375 7 days 1022456.0 894108.6 WESTMINSTER 3947
## 376 7 days 1039846.0 891567.3 UNION 4901
## 377 7 days 1037577.0 885193.6 NATURAL BRIDGE 5750
## 378 7 days 1026042.0 878187.3 NA
## 379 7 days 1007307.0 892678.3 WYOMING 3729
## 380 7 days 1047217.0 895755.3 RIVERVIEW 1199
## 381 7 days 1008567.0 896477.3 NA
## 382 7 days 1048310.0 890288.4 NA
## 383 7 days 1026039.0 907046.7 NA
## 384 7 days 1008534.0 904255.5 7TH 2343
## 385 7 days 1000350.0 879261.4 HAMPTON 5625
## 386 7 days 1020387.0 908434.4 CARR 902
## 387 7 days 1010887.0 904772.3 NA
## 388 7 days 998781.8 890202.6 SPRING 4755
## 389 7 days 1023634.0 907592.0 14TH 1918
## 390 7 days 1051914.0 894537.6 RIVERVIEW 1192
## 391 7 days 1031770.0 886883.8 NA
## 392 7 days 0.0 0.0 CLARENCE 4515
## 393 7 days 1019295.0 906707.7 WASHINGTON 1235
## 394 7 days 1025180.0 886781.2 WATERMAN 5079
## 395 7 days 1039300.0 895808.0 VERA 5440
## 396 6 days 1052209.0 894567.0 GOODFELLOW 5556
## 397 6 days 1027185.0 905865.3 OFALLON 923
## 398 6 days 1029612.0 905950.6 SALISBURY 1428
## 399 6 days 1010681.0 902641.6 NA
## 400 6 days 1050289.0 898344.4 HALL 8430
## 401 6 days 1027827.0 906764.3 NA
## 402 6 days 1030941.0 903893.1 ANGELICA 2109
## 403 6 days 1002365.0 890585.1 MERAMEC 3989
## 404 6 days 1035545.0 896710.4 ANDERSON 4415
## 405 6 days 1025820.0 898915.1 NA
## 406 6 days 1049786.0 896997.1 CONCORD 8443
## 407 6 days 1005972.0 890708.8 ROGER 3402
## 408 6 days 1008075.0 894438.9 HARTFORD 3501
## 409 6 days 1031413.0 891761.3 ERA 5574
## 410 6 days 1021508.0 895034.8 LINDELL 3755
## 411 6 days 1034892.0 881310.1 DR MARTIN LUTHER KING 6125
## 412 6 days 1003847.0 892243.6 SPRING 3710
## 413 6 days 1027248.0 879694.6 DELMAR 5934
## 414 6 days 1021496.0 898492.2 NA
## 415 6 days 1007405.0 894425.6 CONNECTICUT 3442
## 416 6 days 1030096.0 899004.3 WRIGHT 1430
## 417 5 days 1029141.0 902710.9 PARNELL 3826
## 418 5 days 1010375.0 906062.8 BROADWAY 1724
## 419 5 days 1037172.0 887358.4 NATURAL BRIDGE 5520
## 420 5 days 1031452.0 885426.9 NA
## 421 5 days 1037445.0 885139.9 GOODFELLOW 5747
## 422 5 days 1025858.0 905029.6 21ST 2630
## 423 5 days 1019394.0 906183.3 LUCAS 1320
## 424 5 days 1033364.0 897415.1 ST FERDINAND 4310
## 425 5 days 1024471.0 897714.3 GRAND 1400
## 426 5 days 1024423.0 889668.9 MCPHERSON 4531
## 427 5 days 1025169.0 879649.3 PERSHING 5846
## 428 5 days 994326.1 880567.9 PRIMM 4731
## 429 5 days 1050827.0 897003.6 WALL 844
## 430 5 days 1002188.0 894693.4 KEOKUK 3214
## 431 5 days 1022269.0 905421.5 OFALLON 1621
## 432 5 days 1009286.0 896179.9 MAGNOLIA 3144
## 433 4 days 1004552.0 893475.6 DELOR 3215
## 434 4 days 1042266.0 889751.5 NA
## 435 4 days 1018849.0 895980.2 GRAND 374
## 436 4 days 1024800.0 889004.0 NA
## 437 4 days 1041319.0 889006.3 THRUSH 4547
## 438 4 days 1026517.0 888965.3 BAYARD 741
## 439 4 days 1005595.0 892552.3 FAIRVIEW 3714
## 440 4 days 1026581.0 907058.5 HADLEY 2821
## 441 4 days 1031625.0 885172.9 NA
## 442 4 days 1023493.0 895884.5 SPRING 911
## 443 4 days 1032160.0 895160.2 NEWSTEAD 3514
## 444 4 days 1036275.0 895876.4 KORTE 4610
## 445 3 days 1019045.0 907173.4 NA
## 446 3 days 1019791.0 895608.9 GRAND 35
## 447 3 days 1015069.0 898339.6 RUTGER 2916
## 448 3 days 1033438.0 884946.4 COTE BRILLIANTE 5564
## 449 3 days 1026800.0 883771.6 DELMAR 6177
## 450 3 days 1031322.0 886534.3 NA
## 451 3 days 1050724.0 896666.2 HORNSBY 857
## 452 3 days 1031732.0 902337.5 GRAND 4206
## 453 3 days 1050040.0 897389.7 NA
## 454 3 days 1020890.0 907258.8 TUCKER 1119
## 455 3 days 1053019.0 895970.6 FREDERICK 9151
## 456 3 days 1007553.0 897829.4 ARSENAL 2810
## 457 3 days 1006259.0 893528.9 GRAND 3309
## 458 3 days 1025760.0 885656.3 WESTMINSTER 5221
## 459 3 days 997621.0 889087.3 EILER 3845
## 460 3 days 1004757.0 899217.3 MISSOURI 3409
## 461 3 days 1027104.0 888741.9 NA
## 462 2 days 1033093.0 893774.3 LEXINGTON 4562
## 463 2 days 1028847.0 905719.3 NA
## 464 2 days 1053370.0 897929.1 NA
## 465 2 days 1031154.0 880506.4 NA
## 466 2 days 1036154.0 886080.6 NA
## 467 2 days 994078.1 891650.6 DOVER 626
## 468 2 days 1002559.0 891317.2 KEOKUK 3828
## 469 2 days 1027578.0 905261.1 ENRIGHT 4217
## 470 2 days 1037376.0 894006.1 SHREVE 4845
## 471 2 days 1006969.0 890801.7 HUMPHREY 3974
## 472 2 days 1013129.0 904237.9 PARK 1414
## 473 2 days 994365.9 892637.8 BATES 504
## 474 2 days 1019061.0 898759.6 ADELAIDE 4538
## 475 2 days 1019909.0 908976.6 NA
## 476 2 days 1025916.0 904258.4 RAUSCHENBACH 2707
## 477 2 days 1024748.0 889223.4 MCPHERSON 4601
## 478 2 days 1034150.0 896183.6 SHREVE 4203
## 479 2 days 1021154.0 904489.4 19TH 1026
## 480 2 days 1027949.0 904916.1 HEBERT 2009
## 481 1 days 989867.0 886197.3 OLIVE 800
## 482 1 days 1018954.0 905006.6 NA
## 483 1 days 988394.9 889207.4 PENNSYLVANIA 7600
## 484 1 days 1047630.0 897153.4 NA
## 485 1 days 1028981.0 906077.5 NA
## 486 1 days 1010363.0 904769.3 GEYER 816
## 487 1 days 993560.6 893516.9 NA
## 488 1 days 1021336.0 906334.5 BIDDLE 1545
## 489 1 days 1023739.0 906616.2 NA
## 490 1 days 1025492.0 882275.8 WATERMAN 5607
## 491 1 days 1032486.0 883907.8 DR MARTIN LUTHER KING 5588
## 492 1 days 1021859.0 898464.7 DELMAR 3327
## 493 1 days 1032986.0 883074.3 WELLS 5734
## 494 1 days 1034519.0 903257.5 ALICE 2018
## 495 1 days 1028220.0 885757.4 CABANNE 5211
## 496 1 days 1047002.0 891085.4 FLORISSANT 6000
## 497 1 days 1034740.0 881539.9 NA
## 498 1 days 1038406.0 900684.1 NA
## 499 1 days 1037234.0 895152.2 NA
## 500 1 days 999271.8 895854.1 NEBRASKA 4308
## 501 0 days 1024451.0 908051.8 NA
## 502 0 days 997056.9 881865.6 GRAVOIS 6900
## 503 0 days 1006714.0 890148.3 UTAH 4050
## 504 0 days 1022276.0 906561.6 OFALLON 1437
## 505 0 days 1024043.0 898974.9 BRANTNER 3149
## 506 0 days 1013944.0 904053.8 CHOUTEAU 1432
## 507 0 days 1032526.0 895721.8 ARLINGTON 5404
## 508 0 days 1010527.0 904754.7 BISSELL 1409
## 509 0 days 993583.6 890250.0 NA
## 510 0 days 1004952.0 898258.4 CHEROKEE 2626
## 511 0 days 1027493.0 898898.1 NA
## 512 0 days 1001542.0 895638.7 OSAGE 3011
## 513 0 days 1010977.0 905481.4 8TH 1708
## 514 0 days 1026334.0 897868.3 NA
## 515 0 days 1031441.0 879425.1 ETZEL 6105
## 516 0 days 989022.2 889019.9 MINNESOTA 7501
## 517 0 days 1004895.0 886772.2 KINGSHIGHWAY 3427
## 518 -1 days 1028422.0 905744.5 19TH 3332
## 519 -1 days 1029017.0 880863.7 CABANNE 5843
## 520 -1 days 1035292.0 892021.1 SAN FRANCISCO 4909
## 521 -1 days 1048751.0 897125.8 BROADWAY 8337
## 522 -1 days 1001846.0 895743.1 PENNSYLVANIA 3921
## 523 -1 days 1026801.0 885640.3 ENRIGHT 5206
## 524 -1 days 1017494.0 879532.2 NA
## 525 -1 days 1028936.0 891129.1 NA
## 526 -1 days 1034267.0 904878.5 NA
## 527 -1 days 1032547.0 888505.8 UNION 3700
## 528 -1 days 989294.9 886366.9 NA
## 529 -1 days 1008421.0 896454.3 GRAVOIS 2916
## 530 -1 days 1010652.0 896172.9 NA
## 531 -1 days 1025093.0 889360.7 WESTMINSTER 4624
## 532 -2 days 1019815.0 911182.7 NA
## 533 -2 days 1014891.0 899779.2 OHIO 1300
## 534 -2 days 1021697.0 899064.6 NA
## 535 -2 days 1032803.0 880243.1 NA
## 536 -2 days 1035816.0 883185.4 MINERVA 5961
## 537 -2 days 996800.0 893426.0 LOUISIANA 4501
## 538 -2 days 0.0 0.0 LEE 4118
## 539 -2 days 1023484.0 898955.3 NA
## 540 -2 days 1011254.0 897604.8 ACCOMAC 2903
## 541 -2 days 1014474.0 898521.4 PARK 2831
## 542 -2 days 1014247.0 900973.0 RUTGER 2224
## 543 -3 days 1024434.0 894897.8 BELLE 3914
## 544 -3 days 0.0 0.0 NA
## 545 -3 days 1014630.0 904521.8 CHOUTEAU 1401
## 546 -3 days 1029604.0 881028.8 MAPLE 5802
## 547 -3 days 1028775.0 879084.5 CATES 6049
## 548 -3 days 1029389.0 902400.1 PARNELL 3919
## 549 -3 days 1030729.0 902200.5 FAIR 4115
## 550 -3 days 1002520.0 881919.4 MURDOCH 5354
## 551 -3 days 1026529.0 899693.1 BACON 2720
## 552 -3 days 1031447.0 893352.5 ST LOUIS 4517
## 553 -3 days 1029146.0 899012.1 GREER 3851
## LocationComment LocationName
## 1
## 2
## 3
## 4
## 5
## 6
## 7 GARAGE IN REAR
## 8
## 9 INTERSECTION
## 10
## 11 REAR ALLEY
## 12 OUTSIDE ON CITY STREET (HIGHLAND)
## 13 APT A
## 14
## 15
## 16
## 17
## 18
## 19 PARKING GARAGE LUMIERE PLACE CASINO PARKING GARAGE
## 20
## 21
## 22
## 23
## 24
## 25 ALLEY
## 26
## 27
## 28
## 29
## 30
## 31
## 32
## 33 SHELL GAS MART
## 34
## 35
## 36
## 37
## 38
## 39
## 40 MOBILE GAS STATION
## 41 REAR ALLEY
## 42
## 43
## 44
## 45 NAIL SHOP
## 46
## 47 CITY STREET
## 48
## 49
## 50
## 51 RESIDENCE
## 52
## 53 ON THE STREET
## 54 STREET (PARKED AT CURB) <NA>
## 55
## 56
## 57
## 58 @HOTEL- FOUR SEASONS
## 59
## 60 ST NICHOLAS ROMAN CATHOLIC CHURCH
## 61
## 62
## 63
## 64
## 65
## 66 REAR PARKING LOT
## 67
## 68
## 69
## 70 STOP SIGN AT MCMILLAN/MARCUS
## 71 DRIVEWAY
## 72 ON THE STREET IN FRONT OF LOCATION COMMERCE BANK
## 73 FRONT PORCH OF RESIDENCE
## 74 APT C
## 75
## 76
## 77
## 78 INTERSECTION
## 79 STREET
## 80
## 81
## 82
## 83
## 84 APT BH715
## 85
## 86
## 87
## 88
## 89 NORTH SIDE OF BUILDING
## 90
## 91 CURRENCY EXCHANGE
## 92 COMMERCE BANK
## 93
## 94
## 95 RECOVERY LOCATION
## 96
## 97
## 98
## 99
## 100 IN THE REAR
## 101 3RD DISTRICT PEABODY APARTMENT COMPLEX
## 102 ON WALSH-NORTH OF 5201 IDAHO
## 103 IN FRONT OF HOUSE
## 104 @HOTEL- RENAISSANCE GRAND HOTEL
## 105
## 106
## 107
## 108 @SLU - PIUS MEMORIAL LIBRARY
## 109
## 110
## 111
## 112
## 113
## 114
## 115
## 116 @REAR NORTH ALLEY OF RESIDENCE
## 117 ROAD SIDE
## 118
## 119 2ND FL
## 120
## 121
## 122 BP
## 123 PARKING LOT BP GAS STATION
## 124
## 125
## 126
## 127
## 128
## 129
## 130
## 131
## 132
## 133
## 134 1ST FL
## 135 FRIENDS RESIDENCE
## 136
## 137
## 138
## 139 PUMP 9 SHELL GAS STATION
## 140
## 141 WEST OF 18TH ON LUCAS
## 142
## 143 APT A
## 144 APT A S ALLEY
## 145
## 146
## 147
## 148
## 149
## 150
## 151
## 152
## 153 STOP SIGN
## 154
## 155
## 156
## 157 NORTHWAY MARKET
## 158
## 159 SOUTH SIDE OF THE RESIDENS
## 160
## 161
## 162
## 163
## 164
## 165
## 166
## 167 APT. A
## 168 RESIDENT
## 169 REAR OF APARTMENT BUILDING
## 170 REAR PARKING LOT
## 171
## 172 BP SERVICE STATION
## 173
## 174
## 175
## 176 @STREETSIDE
## 177
## 178
## 179
## 180
## 181
## 182
## 183
## 184
## 185
## 186
## 187 @BP - 1187 S KINGSHIGHWAY
## 188
## 189
## 190
## 191
## 192
## 193 APT A 2ND FLR
## 194
## 195
## 196 APT D
## 197
## 198
## 199 @FRIEND OF THE VICTIM S RESIDENCE
## 200 @HOTEL- VEGAS INN
## 201 PENROSE/NEWSTEAD
## 202 DOWNSTAIRS
## 203
## 204
## 205
## 206
## 207
## 208
## 209
## 210 MOBIL
## 211
## 212
## 213
## 214
## 215
## 216
## 217 @WALGREENS - 5550 S GRAND
## 218
## 219
## 220
## 221
## 222
## 223
## 224
## 225
## 226
## 227
## 228 UNIT A
## 229 WEST PARKING LOT LOT F FOREST PARK COMMUNITY COLLEGE
## 230
## 231
## 232
## 233
## 234
## 235
## 236
## 237 HODIAMONT AVENUE APARTMENTS
## 238 REAR PARKING PAD
## 239
## 240
## 241
## 242
## 243
## 244
## 245
## 246 ALIAS BLACKSTONE/DR MARTIN L KING
## 247
## 248
## 249
## 250 CURRENCY EXCHANGE
## 251
## 252
## 253
## 254 APT 1ST FL
## 255
## 256
## 257
## 258 RESIDENCE
## 259
## 260
## 261
## 262 STREET/SIDEWALK
## 263
## 264
## 265
## 266
## 267 GRAND/KEOKUK
## 268
## 269
## 270 VICTIM S RESIDENCE
## 271
## 272
## 273
## 274
## 275 STREET
## 276 REAR PARKING LOT
## 277
## 278
## 279
## 280
## 281
## 282
## 283
## 284
## 285
## 286
## 287
## 288
## 289
## 290 IN THE STREET
## 291
## 292
## 293 @STREETSIDE
## 294
## 295 ON STREET
## 296
## 297
## 298
## 299
## 300
## 301
## 302
## 303
## 304
## 305 ON SIDEWALK
## 306
## 307
## 308
## 309 REHAB BAR
## 310 APT 204 REAR PARKING LOT
## 311
## 312 KING GRILL
## 313 PARKING LOT @ GAS PUMPS BP
## 314 REAR SIDNEYS INSULATION
## 315
## 316 RESIDENCE RESIDENCE
## 317 REAR ALLEY
## 318 ALLEY
## 319
## 320
## 321
## 322 @STREETSIDE
## 323 PRESERVATION SQUARE
## 324
## 325
## 326 ATTACHED PARKING GARAGE CORONADO APARTMENTS
## 327 INITIAL ASSIGNMENT LOCATION 6223 NORTH POINTE
## 328 STREET <NA>
## 329
## 330
## 331
## 332
## 333
## 334
## 335 METRO LINK PARKING LOT
## 336
## 337
## 338
## 339
## 340
## 341
## 342
## 343
## 344
## 345
## 346
## 347
## 348
## 349
## 350 APT A
## 351
## 352 MCDONALDS
## 353
## 354
## 355
## 356 PARKING LOT SAVE A LOT
## 357
## 358 SUSPECT S HOUSE
## 359
## 360
## 361
## 362 @HOTEL- FOUR SEASONS
## 363 STREET
## 364 APT C
## 365
## 366
## 367
## 368
## 369 APT A
## 370 APT 206
## 371
## 372
## 373
## 374 FOUR MUDDY PAWS
## 375
## 376
## 377
## 378
## 379
## 380
## 381
## 382
## 383
## 384 CARJACKING
## 385
## 386 APT #E
## 387
## 388
## 389
## 390
## 391 ZX SERVICE STATION
## 392 @ FAIRGROUNDS PARK
## 393
## 394
## 395
## 396 PHILLIPS 66
## 397
## 398
## 399
## 400
## 401 AKA BRANCH / 14TH ST
## 402
## 403
## 404
## 405
## 406
## 407
## 408
## 409 PETER GUNNS LOUNGE
## 410 REAR PARKING GARAGE
## 411 WELSTON LAUNDRY MAT
## 412
## 413
## 414 SOUTH CURB
## 415 INTERSECTION
## 416
## 417 OUTSIDE RESIDENCE
## 418 @BAR- BAR 101 BAR 101 PARKING LOT
## 419
## 420 CITY STREET
## 421
## 422 IN STREET
## 423
## 424 RESIDENCE
## 425 SAVE A LOT
## 426
## 427
## 428
## 429
## 430
## 431
## 432
## 433
## 434
## 435 @NORTH RESIDENTIAL PARKING LOT
## 436
## 437
## 438
## 439
## 440
## 441
## 442
## 443
## 444
## 445
## 446
## 447
## 448
## 449
## 450 ZX GAS STATION
## 451
## 452 @HOTEL- ECONOMY INN ROOM 18
## 453
## 454 PARKING LOT MCDONALDS
## 455
## 456
## 457 @LIBRARY- CARPENTER BRANCH CARPENTER BRANCH LIBRARY
## 458
## 459
## 460 <NA> CHEROKEE RESIDENTAL CARE
## 461
## 462 APT 1E
## 463
## 464 SPEEDY GAS
## 465
## 466 STREET
## 467
## 468
## 469 NORTH PARKING LOT WHITE CASTLE
## 470
## 471
## 472
## 473 BP SERVICE STATION
## 474
## 475
## 476
## 477
## 478
## 479 MULTI FAMILY RESIDENCE
## 480
## 481 ON STREET
## 482
## 483
## 484
## 485
## 486 @BAR- MOLLYS BISTRO
## 487
## 488 PARKING LOT
## 489
## 490
## 491
## 492 BLUEMEYER
## 493
## 494
## 495
## 496
## 497
## 498 EST 6147 OUIDA AVE CITY REAR PARKING LOT
## 499 BP GAS STATION
## 500
## 501 STREET
## 502 @BANK OF AMERICA - KINGSHIGHWAY
## 503
## 504 VICTIMS RESIDENCE
## 505 @STREET SIDE
## 506 PEABODY CLINTON HOUSING
## 507
## 508 @BAR- 1860 SALOON HARDSHELL CAFE 1860 SALOON PARKING LOT
## 509
## 510 BEHIND BUILDING IN PARKING LOT
## 511
## 512
## 513 REAR
## 514
## 515
## 516
## 517
## 518
## 519
## 520
## 521
## 522
## 523
## 524
## 525 CROWN FOOD MART
## 526
## 527
## 528 SOUTHWEST CROSSING APARTMENTS
## 529
## 530 RESIDENCE/HOME
## 531
## 532
## 533
## 534
## 535 DJ S PACKAGE LIQUORS
## 536
## 537 SIDEWALK/STREET
## 538
## 539
## 540
## 541 STREET <NA>
## 542
## 543 ROADWAY
## 544
## 545 @AMOCO - 14TH AND CHOUTEAU
## 546 PARKING LOT
## 547
## 548
## 549
## 550
## 551
## 552 IN THE REAR OF THE ADDRESS
## 553
## Neighborhood ILEADSStreet ILEADSAddress
## 1 78 HODIAMONT 1377
## 2 78 AMHERST TER 1436
## 3 63 KISLING LN 2124
## 4 62 COLE ST 809
## 5 71 ARLINGTON AVE 4533
## 6 35 PINE ST 400
## 7 16 GRACE 4401
## 8 48 NA
## 9 56 LEXINGTON AVE / N TAYLOR AVE 0
## 10 23 ALLEN AVE 2115
## 11 46 WATERMAN BLVD 6031
## 12 52 HIGHLAND AVE 5280
## 13 61 PRESERVATION PL 1463
## 14 56 MARCUS AVE / SAINT LOUIS AVE 0
## 15 59 N MARKET ST / PRAIRIE AVE 0
## 16 16 S 38TH ST 4268
## 17 62 CARR ST 825
## 18 74 ORIOLE AVE 8742
## 19 35 N 2ND ST 999
## 20 22 WITHNELL AVE 2021
## 21 58 WEST BELLE PL 4374
## 22 5 GILSON AVE 5311
## 23 60 KNAPP ST 1619
## 24 59 THOMAS ST 2807
## 25 2 E STEINS ST 110
## 26 16 MICHIGAN AVE 4108
## 27 36 N 21ST ST 715
## 28 50 WABADA AVE 5422
## 29 48 HODIAMONT AVE 1139
## 30 56 LEXINGTON AVE 4561
## 31 3 BOWEN ST 3845
## 32 21 ANN AVE 1301
## 33 63 N FLORISSANT AVE 2800
## 34 26 RUSSELL BLVD 3323
## 35 51 N KINGSHIGHWAY BLVD 1315
## 36 78 HAMILTON AVE 1426
## 37 68 GRANT ST / HARRIS AVE 0
## 38 38 LINDELL BLVD 4251
## 39 74 N BROADWAY 8337
## 40 60 N 13TH ST 1515
## 41 33 PARK AVE 1403
## 42 32 MISSISSIPPI AVE 1107
## 43 63 N 14TH ST / SULLIVAN AVE 0
## 44 56 N TAYLOR AVE 2503
## 45 19 GRAVOIS AVE 3524
## 46 58 C D BANKS AVE 4077
## 47 1 ELWOOD ST / MINNESOTA AVE 0
## 48 63 N 11TH ST / TYLER ST 0
## 49 35 MARKET 651
## 50 77 N SPRING AVE / WASHINGTON AVE 0
## 51 17 MINNESOTA AVE 4801
## 52 17 MOUNT PLEASANT ST 3117
## 53 69 N KINGSHIGHWAY BLVD / PENROSE 0
## 54 35 N 7TH ST 703
## 55 69 N KINGSHIGHWAY BLVD 3720
## 56 38 WEST PINE BLVD 3962
## 57 67 W FLORISSANT AVE / WARNE AVE 0
## 58 35 N 2ND ST 999
## 59 16 GUSTINE AVE 3929
## 60 36 N 18TH ST 701
## 61 16 N DAKOTA ST / VIRGINIA AVE 0
## 62 36 OLIVE ST 1701
## 63 21 S 10TH ST 1900
## 64 16 S COMPTON AVE 4549
## 65 35 MEMORIAL DR / WASHINGTON AVE 0
## 66 36 OLIVE ST 1500
## 67 25 VIRGINIA AVE 2356
## 68 59 COLEMAN AVE 2429
## 69 72 PLOVER AVE / THEODORE AVE 0
## 70 54 MCMILLAN AVE 4628
## 71 50 COTE BRILLIANTE AVE 5320
## 72 56 NATURAL BRIDGE AVE 4402
## 73 69 MARGARETTA AVE 4514
## 74 5 MORGANFORD RD 4341
## 75 19 MIAMI ST 3526
## 76 74 HORNSBY AVE 8537
## 77 73 ASTRA AVE 6000
## 78 51 UNION BLVD 1400
## 79 21 LAMI ST 1000
## 80 63 BRISTOL LN 1231
## 81 1 PENNSYLVANIA AVE 5517
## 82 55 N EUCLID AVE / LEXINGTON AVE 0
## 83 5 GERTRUDE AVE 5419
## 84 60 MADISON ST 2000
## 85 61 N 16TH ST / CASS AVE 0
## 86 48 ENRIGHT AVE 5628
## 87 46 WATERMAN BLVD 6100
## 88 65 ANGELRODT ST / BLAIR AVE 0
## 89 16 S GRAND BLVD 4102
## 90 38 PERSHING AVE 4400
## 91 77 N GRAND BLVD 900
## 92 56 NATURAL BRIDGE AVE 4402
## 93 16 CHIPPEWA ST / MINNESOTA AVE 0
## 94 21 LAMI ST 920
## 95 59 N LEFFINGWELL AVE 1814
## 96 49 CABANNE AVE 5409
## 97 48 CATES AVE 5614
## 98 36 N 14TH ST / WASHINGTON AVE 0
## 99 56 WHITTIER ST 3015
## 100 63 N 14TH ST 2826
## 101 33 LASALLE LN 1415
## 102 1 IDAHO AVE 5201
## 103 6 RHODES AVE 5513
## 104 35 WASHINGTON AVE 800
## 105 1 BATES ST / IDAHO AVE 0
## 106 15 CONNECTICUT ST 3606
## 107 28 MCREE AVE 4340
## 108 37 LINDELL BLVD 3650
## 109 78 HAMILTON AVE / RIDGE AVE 0
## 110 28 S VANDEVENTER AVE 1430
## 111 68 FAIR AVE 4017
## 112 48 HODIAMONT AVE 1217
## 113 17 MINNESOTA AVE 4651
## 114 51 ENRIGHT AVE 5010
## 115 56 ASHLAND AVE / N NEWSTEAD AVE 0
## 116 65 MALLINCKRODT ST 1519
## 117 76 FLOY AVE 5596
## 118 74 N BROADWAY 8337
## 119 16 S GRAND BLVD 4432
## 120 76 GOODFELLOW BLVD / SHERRY AVE 0
## 121 62 HADLEY ST 1127
## 122 68 W FLORISSANT AVE 4126
## 123 64 E GRAND AVE 209
## 124 72 HARNEY AVE / RIVERVIEW BLVD 0
## 125 16 MERAMEC ST 3127
## 126 37 SAMUEL SHEPARD DR 2833
## 127 48 MAPLE AVE 5577
## 128 30 OHIO AVE 3002
## 129 1 S GRAND BLVD 5242
## 130 1 EICHELBERGER ST 3439
## 131 30 S JEFFERSON AVE 3249
## 132 42 TAMM AVE 1516
## 133 17 NEBRASKA AVE 4501
## 134 19 NEBRASKA AVE 3429
## 135 70 RIVERVIEW BLVD 4801
## 136 43 BENTON TER 2221
## 137 78 MINERVA AVE 5800
## 138 38 MARYLAND AVE 4332
## 139 36 N TUCKER BLVD 721
## 140 27 SHAW BLVD / THURMAN AVE 0
## 141 36 N 18TH ST / LUCAS AVE 0
## 142 53 N KINGSHIGHWAY BLVD 1158
## 143 16 MINNESOTA AVE 3807
## 144 54 ENRIGHT AVE 4424
## 145 39 KENTUCKY AVE / MANCHESTER AVE 0
## 146 38 MARYLAND AVE 4656
## 147 72 SALOMA AVE 5850
## 148 51 N KINGSHIGHWAY BLVD 1341
## 149 46 WATERMAN BLVD 6138
## 150 78 MONTCLAIR AVE 1325
## 151 25 S GRAND BLVD 3310
## 152 69 LEE AVE / N TAYLOR AVE 0
## 153 59 N PRAIRIE AVE / SULLIVAN AVE 0
## 154 17 IOWA AVE 4259
## 155 51 ENRIGHT AVE 5100
## 156 16 TENNESSEE AVE 5020
## 157 72 W FLORISSANT AVE 5590
## 158 46 MCPHERSON AVE 5742
## 159 17 S COMPTON AVE 4456
## 160 69 BIRCHER BLVD 4500
## 161 17 NEBRASKA AVE 4543
## 162 18 S BROADWAY / LEMP AVE 0
## 163 74 HARLAN AVE 850
## 164 15 JUNIATA ST 3611
## 165 0 UNKNOWN 0
## 166 62 N 13TH ST 1400
## 167 37 SAMUEL SHEPARD DR 2933
## 168 46 NINA PL 5845
## 169 29 PARK AVE 3844
## 170 61 HOGAN ST 1405
## 171 75 EB 270 / RIVERVIEW DR 0
## 172 77 DR MARTIN LUTHER KING DR 3868
## 173 0 LOOKAWAY DR 10325
## 174 65 N 14TH ST 3519
## 175 10 MANCHESTER AVE 7146
## 176 56 GARFIELD AVE 3900
## 177 69 N KINGSHIGHWAY BLVD / LEE AVE 0
## 178 30 CHEROKEE ST 3319
## 179 16 NEBRASKA AVE 3945
## 180 74 CHURCH RD / THEOBALD ST 0
## 181 74 HORNSBY AVE 1136
## 182 68 CLAY AVE 4206
## 183 16 GUSTINE AVE / KEOKUK ST 0
## 184 68 PENROSE ST 4447
## 185 39 VISTA AVE 4334
## 186 60 HEBERT ST 2344
## 187 40 S KINGSHIGHWAY BLVD 1187
## 188 47 CLARA AVE 527
## 189 25 PESTALOZZI ST 3400
## 190 50 ARLINGTON AVE 1904
## 191 38 MCPHERSON AVE 4530
## 192 66 E GRAND BLVD 1200
## 193 19 OHIO AVE 3456
## 194 48 CATES AVE 5894
## 195 23 S JEFFERSON AVE 2280
## 196 17 MINNESOTA AVE 4222
## 197 25 MAGNOLIA AVE 3218
## 198 1 WALSH ST 1000
## 199 25 WYOMING ST 3300
## 200 50 HAMILTON AVE 3607
## 201 68 LEE AVE 4402
## 202 16 GILES AVE 4061
## 203 15 THOLOZAN AVE 4401
## 204 27 LAWRENCE ST 1900
## 205 38 MARYLAND AVE 4622
## 206 35 N 7TH ST 100
## 207 47 CLARA AVE 527
## 208 34 S 10TH ST 1408
## 209 47 WATERMAN BLVD 5510
## 210 67 N GRAND BLVD 3710
## 211 2 W STEINS ST 309
## 212 55 N EUCLID AVE / HAMMETT PL 0
## 213 38 N NEWSTEAD AVE 336
## 214 46 PERSHING AVE 6100
## 215 72 GENEVIEVE AVE 5015
## 216 77 N GRAND BLVD 401
## 217 1 S GRAND BLVD 5550
## 218 64 E GRAND AVE 209
## 219 77 THOMAS ST 3117
## 220 13 MAURY AVE 1921
## 221 13 HEREFORD ST 2900
## 222 74 PARTRIDGE AVE 8668
## 223 13 PORTIS AVE 2216
## 224 15 JUNIATA ST 3722
## 225 28 BLAINE AVE 4053
## 226 25 ARKANSAS AVE / HUMPHREY ST 0
## 227 35 ST CHARLES ST 1020
## 228 21 ANN AVE 1208
## 229 41 OAKLAND AVE 5600
## 230 5 MORGANFORD RD 4649
## 231 48 HODIAMONT AVE 1225
## 232 19 LOUISIANA AVE 3700
## 233 76 LAURA AVE 6100
## 234 19 CHEROKEE ST 3147
## 235 47 CLARA AVE 527
## 236 5 GRAVOIS AVE 4642
## 237 48 HODIAMONT AVE 1219
## 238 59 FRANKLIN AVE 2955
## 239 38 MCPHERSON AVE 4404
## 240 39 CHOUTEAU AVE 4244
## 241 21 SOULARD ST 704
## 242 31 VISTA AVE 3300
## 243 67 CARTER AVE / COLLEGE AVE 0
## 244 78 SEMPLE AVE 1355
## 245 38 OLIVE ST 3952
## 246 78 BLACKSTONE AVE / DR MARTIN LUT 0
## 247 12 HAMPTON AVE 2140
## 248 50 NATURAL BRIDGE AVE 5750
## 249 30 GRAVOIS AVE 3200
## 250 51 N KINGSHIGHWAY BLVD 1315
## 251 64 COLLINS ST 1450
## 252 57 BELLE GLADE AVE 2618
## 253 24 CALIFORNIA AVE 1933
## 254 16 MONTANA ST 3451
## 255 78 ARLINGTON AVE 1493
## 256 46 DELMAR BLVD 6136
## 257 56 N NEWSTEAD AVE 3618
## 258 60 RAUSCHENBACH AVE 1829
## 259 78 DR MARTIN LUTHER KING DR 5588
## 260 42 GREGG AVE 1435
## 261 38 WASHINGTON AVE 4349
## 262 35 CLARK AVE 1001
## 263 16 CALIFORNIA AVE 4028
## 264 14 MACKLIND AVE 3476
## 265 62 N 7TH ST 1411
## 266 50 UNION BLVD 1905
## 267 16 S GRAND BLVD 3905
## 268 74 RIVERVIEW BLVD 1163
## 269 74 ANNETTA ST 8936
## 270 51 VERNON AVE 5129
## 271 48 CABANNE AVE 5515
## 272 3 WILMINGTON AVE 3662
## 273 15 GUSTINE AVE 3729
## 274 27 RUSSELL BLVD 3931
## 275 65 N 22ND ST 3617
## 276 67 PLEASANT ST 4109
## 277 24 S JEFFERSON AVE 2313
## 278 36 LOCUST ST 1600
## 279 22 SALENA ST 2833
## 280 46 WATERMAN BLVD 5955
## 281 50 GOODFELLOW BLVD 3400
## 282 67 BAILEY AVE / GROVE ST 0
## 283 25 ARKANSAS AVE / ARSENAL ST 0
## 284 71 N KINGSHIGHWAY BLVD 5017
## 285 27 RUSSELL AVE 3617
## 286 46 WATERMAN BLVD 6045
## 287 63 HADLEY ST 2601
## 288 52 NORWOOD AVE / SAINT LOUIS AVE 0
## 289 56 N NEWSTEAD AVE 2925
## 290 38 WALTON AVE 451
## 291 69 MARGARETTA AVE / SHREVE AVE 0
## 292 35 CARR ST / N LEONOR K SULLIVAN 0
## 293 63 N 14TH ST 2824
## 294 37 WASHINGTON AVE 2710
## 295 27 CASTLEMAN AVE 3669
## 296 69 FARLIN AVE 4828
## 297 23 ANN AVE 2335
## 298 25 HARTFORD ST 3429
## 299 38 WESTMINSTER PL 4221
## 300 16 DUNNICA AVE 3614
## 301 4 GERMANIA ST 4847
## 302 30 MINNESOTA AVE 3224
## 303 30 S JEFFERSON AVE 3315
## 304 60 N 13TH ST / MULLANPHY ST 0
## 305 17 NEBRASKA AVE 4312
## 306 5 DRESDEN AVE 5150
## 307 16 IOWA AVE 3831
## 308 69 SAN FRANCISCO AVE 4451
## 309 39 CHOUTEAU AVE 4054
## 310 48 DELMAR BLVD 5901
## 311 76 GOODFELLOW BLVD 5003
## 312 59 ST LOUIS AVE 3746
## 313 65 I 70 EASTBOUND / SALISBURY ST 0
## 314 41 MANCHESTER AVE 5701
## 315 25 SIDNEY ST 3120
## 316 69 LEE AVE 4824
## 317 15 CHIPPEWA ST 3701
## 318 15 MCDONALD AVE 4061
## 319 19 MICHIGAN AVE 3430
## 320 27 SHENANDOAH AVE 3941
## 321 35 ST CHARLES ST 1101
## 322 61 HOGAN ST 1410
## 323 61 CASS AVE 1502
## 324 29 LAFAYETTE AVE 3800
## 325 27 RUSSELL AVE 3950
## 326 77 LINDELL BLVD 3701
## 327 78 HODIAMONT AVE / WELLS AVE 0
## 328 32 MISSOURI AVE 1525
## 329 25 S GRAND BLVD 3310
## 330 74 CHURCH RD 8408
## 331 21 GRAVOIS AVE 1264
## 332 50 HAMILTON AVE / KENNERLY AVE 0
## 333 61 CASS AVE 1848
## 334 50 THEODOSIA AVE 5323
## 335 48 ROSEDALE AVE 660
## 336 25 WYOMING ST 3304
## 337 74 N BROADWAY 8337
## 338 19 PENNSYLVANIA AVE 3436
## 339 24 ALLEN AVE 2701
## 340 50 COTE BRILLIANTE AVE / GOODFELL 0
## 341 59 SAINT FERDINAND AVE 3841
## 342 32 HICKORY ST 2000
## 343 65 ANGELRODT ST 1924
## 344 46 LINDELL BLVD 6023
## 345 16 DUNNICA AVE 3819
## 346 36 N 21ST ST 715
## 347 69 CAMELLIA AVE 4111
## 348 25 PESTALOZZI ST 3021
## 349 35 N 11TH ST 1009
## 350 33 S TUCKER BLVD 1123
## 351 50 COTE BRILLIANTE AVE 5875
## 352 24 S JEFFERSON AVE 1919
## 353 21 GEYER AVE 1100
## 354 74 ANNETTA ST 8702
## 355 61 N 14TH ST / CASS AVE 0
## 356 19 S JEFFERSON AVE 3427
## 357 74 N BROADWAY 8815
## 358 18 PENNSYLVANIA 3700
## 359 74 BLASE AVE 424
## 360 33 SAINT ANGE CT 1300
## 361 50 MAFFITT AVE 5827
## 362 35 N 2ND ST 999
## 363 39 HEMP AVE / MANCHESTER AVE 0
## 364 48 HODIAMONT AVE 1223
## 365 46 LAUREL ST / WASHINGTON BLVD 0
## 366 69 SAN FRANCISCO AVE 4527
## 367 59 N GRAND BLVD / GREER AVE 0
## 368 59 N GRAND BLVD 3111
## 369 24 PESTALOZZI ST 2847
## 370 56 N MARKET ST 4516
## 371 38 WATERMAN BLVD 5086
## 372 71 ARLINGTON AVE / LILLIAN AVE 0
## 373 70 GOODFELLOW BLVD 4300
## 374 32 PARK AVE 1711
## 375 38 WESTMINSTER PL 3947
## 376 71 UNION BLVD 4901
## 377 50 GOODFELLOW BLVD 3405
## 378 46 MCPHERSON AVE 6106
## 379 15 S SPRING AVE / WYOMING ST 0
## 380 86 SWITZER AVE 1200
## 381 25 MINNESOTA AVE 2905
## 382 76 W FLORISSANT AVE 6165
## 383 63 N 13TH ST / MONTGOMERY ST 0
## 384 21 S 7TH ST 2343
## 385 6 HAMPTON AVE 5614
## 386 62 CARR ST 902
## 387 21 EMMET ST 921
## 388 16 S SPRING AVE 4755
## 389 63 N 14TH ST 1918
## 390 74 RIVERVIEW BLVD 1192
## 391 52 UNION BLVD 1620
## 392 83 FAIRGROUNDS PARK 0
## 393 36 LUCAS AVE 1317
## 394 38 WATERMAN BLVD 5079
## 395 71 VERA AVE 5440
## 396 74 RIVERVIEW BLVD 1199
## 397 63 HEBERT ST 1900
## 398 65 SALISBURY ST 1428
## 399 21 GRAVOIS AVE / I 55 NORTHBOUND 0
## 400 79 HALL ST 8430
## 401 65 N 14TH ST / BRANCH ST 0
## 402 65 ANGELICA ST 2109
## 403 16 MERAMEC ST 3989
## 404 69 ANDERSON AVE 4421
## 405 59 GARFIELD AVE 3629
## 406 74 CONCORD PL 8443
## 407 15 ROGER PL 3402
## 408 25 HARTFORD ST 3501
## 409 56 MARCUS AVE 2713
## 410 77 LINDELL BLVD 3755
## 411 78 DR MARTIN LUTHER KING DR 6125
## 412 15 S SPRING AVE 3710
## 413 46 DELMAR BLVD 5934
## 414 77 SAMUEL SHEPARD DR 3300
## 415 25 ARKANSAS AVE / CONNECTICUT ST 0
## 416 56 LEXINGTON AVE 3900
## 417 65 PARNELL ST 3826
## 418 20 S BROADWAY 1724
## 419 50 NATURAL BRIDGE AVE 5520
## 420 78 ARLINGTON AVE 1450
## 421 50 GOODFELLOW PL 5747
## 422 60 MONTGOMERY ST 1996
## 423 36 LUCAS AVE 1320
## 424 68 KOSSUTH AVE 4250
## 425 77 PAGE BLVD 3645
## 426 38 MCPHERSON AVE 4531
## 427 46 PERSHING AVE 5846
## 428 4 PRIMM ST 4731
## 429 74 WALL ST 844
## 430 16 KEOKUK ST 3214
## 431 61 OFALLON ST 1621
## 432 25 MAGNOLIA AVE 3144
## 433 19 S GRAND BLVD / MIAMI ST 0
## 434 72 PLOVER AVE 4917
## 435 37 S GRAND BLVD 374
## 436 38 MCPHERSON AVE / WALTON AVE 0
## 437 72 THRUSH AVE 4547
## 438 53 BAYARD AVE 741
## 439 15 FAIRVIEW AVE 3718
## 440 63 HADLEY ST 2821
## 441 78 SEMPLE AVE / WELLS AVE 0
## 442 77 N SPRING AVE 911
## 443 56 N NEWSTEAD AVE 3514
## 444 69 CARTER AVE 4540
## 445 35 WASHINGTON AVE 1117
## 446 37 FOREST PARK AVE 3651
## 447 31 RUTGER ST 2916
## 448 50 COTE BRILLIANTE AVE 5551
## 449 47 DELMAR BLVD 5443
## 450 51 UNION 1620
## 451 74 HORNSBY AVE 905
## 452 67 N GRAND BLVD 4206
## 453 74 N BROADWAY / DODDRIDGE ST 0
## 454 61 N TUCKER BLVD 1119
## 455 74 FREDERICK ST 9151
## 456 30 ARSENAL ST 2806
## 457 15 S GRAND BLVD 3309
## 458 38 WESTMINSTER PL 5221
## 459 5 EILER ST 3845
## 460 18 MISSOURI AVE 3409
## 461 48 N EUCLID AVE 915
## 462 56 LEXINGTON AVE 4562
## 463 65 N 19TH ST / DESTREHAN ST 0
## 464 74 N BROADWAY 8880
## 465 48 HAMILTON AVE 1171
## 466 50 CLARA AVE 3001
## 467 1 DOVER PL 622
## 468 16 KEOKUK ST 3828
## 469 63 HEBERT ST 2009
## 470 69 CALVIN AVE 4845
## 471 15 HUMPHREY ST 3974
## 472 33 PARK AVE 1414
## 473 1 BATES ST 504
## 474 37 LACLEDE AVE 3026
## 475 35 N 7TH ST / COLE ST 0
## 476 60 N 22ND ST 2708
## 477 38 MCPHERSON AVE 4609
## 478 68 KOSSUTH AVE / N NEWSTEAD AVE 0
## 479 61 N 19TH ST 1026
## 480 60 N FLORISSANT AVE / PALM ST 0
## 481 1 BANDERO DR 7862
## 482 36 LOCUST ST 1600
## 483 2 PENNSYLVANIA AVE 7600
## 484 74 BITTNER ST / N BROADWAY 0
## 485 65 BLAIR AVE / DESTREHAN ST 0
## 486 21 GEYER AVE 816
## 487 1 PENNSYLVANIA AVE 5625
## 488 61 BIDDLE ST 1525
## 489 60 N FLORISSANT AVE 2005
## 490 47 WATERMAN BLVD 5607
## 491 78 CLARA AVE / WELLS AVE 0
## 492 77 DELMAR BLVD 3327
## 493 78 WELLS AVE 5734
## 494 66 BLAIR AVE / E PRAIRIE AVE 0
## 495 51 CABANNE AVE 5211
## 496 76 W FLORISSANT AVE 6000
## 497 78 HODIAMONT AVE 1508
## 498 79 E CARRIE AVE / POPE AVE 0
## 499 69 BIRCHER BLVD 4700
## 500 17 NEBRASKA AVE 4308
## 501 63 HADLEY ST / MADISON ST 0
## 502 6 S KINGSHIGHWAY BLVD 6639
## 503 15 UTAH ST 4050
## 504 61 OFALLON ST 1437
## 505 59 BRANTNER PL 3149
## 506 33 CHOUTEAU AVE 1432
## 507 56 NATURAL BRIDGE AVE 4318
## 508 66 S 9TH ST 1860
## 509 1 IRON ST 911
## 510 19 CHEROKEE ST 2626
## 511 59 MAFFITT AVE 3722
## 512 16 OSAGE ST 3011
## 513 21 S 8TH ST 1708
## 514 59 GARFIELD AVE 3833
## 515 48 ETZEL AVE 6105
## 516 2 MINNESOTA AVE 7501
## 517 15 THOLOZAN AVE 4440
## 518 65 ANGELRODT ST 1911
## 519 48 CABANNE AVE 5843
## 520 69 SAN FRANCISCO AVE 4909
## 521 74 N BROADWAY 8337
## 522 16 PENNSYLVANIA AVE 3921
## 523 51 ENRIGHT AVE 5206
## 524 42 VICTORIA AVE 6322
## 525 54 DR MARTIN LUTHER KING DR 4608
## 526 64 E GRAND AVE 209
## 527 52 HIGHLAND AVE 5112
## 528 1 GOYA PL / PRIMM ST 0
## 529 25 MINNESOTA AVE 2921
## 530 25 SHENANDOAH AVE 3202
## 531 38 WESTMINSTER PL 4625
## 532 35 N LEONOR K SULLIVAN BLVD 300
## 533 31 OHIO AVE 1300
## 534 37 N COMPTON AVE / DELMAR BLVD 0
## 535 48 PAGE BLVD 6102
## 536 50 HAMILTON AVE / KENNERLY AVE 0
## 537 16 VIRGINIA AVE 4800
## 538 67 FAIRGROUNDS PL 4100
## 539 77 DR MARTIN LUTHER KING DR 3238
## 540 26 ACCOMAC ST 2903
## 541 31 PARK AVE 2831
## 542 32 RUTGER ST 2224
## 543 58 WEST BELLE PL 3971
## 544 50 MARTIN LUTHER KING 5435
## 545 36 CHOUTEAU AVE 1401
## 546 48 MAPLE AVE 5802
## 547 48 CATES AVE 6033
## 548 65 PARNELL ST 3919
## 549 67 PECK ST 4052
## 550 7 MURDOCH AVE 5354
## 551 59 BACON ST 2720
## 552 56 ST LOUIS AVE 4517
## 553 59 GREER AVE 3851
## Description District Crime
## 1 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 2 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 3 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 4 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 5 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 6 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 7 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 8 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 9 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 10 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 11 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 12 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 13 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 14 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 15 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 16 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 17 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 18 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 19 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 20 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 21 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 22 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 23 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 24 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 25 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 26 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 27 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 28 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 29 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 30 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 31 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 32 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 33 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 34 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 35 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 36 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 37 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 38 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 39 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 40 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 41 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 42 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 43 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 44 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 45 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 46 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 47 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 48 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 49 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 50 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 51 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 52 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 53 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 54 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 55 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 56 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 57 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 58 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 59 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 60 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 61 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 62 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 63 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 64 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 65 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 66 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 67 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 68 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 69 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 70 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 71 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 72 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 73 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 74 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 75 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 76 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 77 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 78 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 79 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 80 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 81 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 82 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 83 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 84 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 85 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 86 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 87 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 88 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 89 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 90 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 91 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 92 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 93 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 94 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 95 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 96 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 97 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 98 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 99 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 100 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 101 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 102 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 103 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 104 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 105 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 106 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 107 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 108 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 109 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 110 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 111 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 112 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 113 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 114 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 115 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 116 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 117 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 118 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 119 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 120 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 121 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 122 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 123 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 124 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 125 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 126 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 127 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 128 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 129 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 130 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 131 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 132 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 133 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 134 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 135 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 136 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 137 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 138 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 139 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 140 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 141 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 142 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 143 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 144 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 145 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 146 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 147 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 148 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 149 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 150 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 151 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 152 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 153 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 154 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 155 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 156 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 157 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 158 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 159 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 160 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 161 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 162 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 163 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 164 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 165 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 0 38111
## 166 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 167 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 168 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 169 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 170 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 171 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 172 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 173 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 0 38111
## 174 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 175 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 176 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 177 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 178 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 179 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 180 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 181 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 182 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 183 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 184 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 185 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 186 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 187 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 188 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 189 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 190 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 191 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 192 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 193 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 194 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 195 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 196 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 197 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 198 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 199 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 200 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 201 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 202 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 203 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 204 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 205 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 206 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 207 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 208 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 209 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 210 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 211 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 212 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 213 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 214 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 215 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 216 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 217 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 218 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 219 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 220 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 221 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 222 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 223 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 224 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 225 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 226 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 227 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 228 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 229 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 230 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 231 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 232 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 233 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 234 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 235 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 236 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 237 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 238 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 239 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 240 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 241 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 242 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 243 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 244 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 245 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 246 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 247 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 248 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 249 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 250 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 251 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 252 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 253 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 254 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 255 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 256 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 257 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 258 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 259 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 260 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 261 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 262 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 263 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 264 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 265 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 266 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 267 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 268 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 269 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 270 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 271 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 272 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 273 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 274 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 275 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 276 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 277 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 278 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 279 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 280 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 281 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 282 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 283 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 284 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 285 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 286 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 287 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 288 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 289 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 290 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 291 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 292 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 293 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 294 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 295 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 296 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 297 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 298 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 299 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 300 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 301 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 302 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 303 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 304 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 305 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 306 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 307 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 308 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 309 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 310 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 311 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 312 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 313 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 314 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 315 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 316 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 317 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 318 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 319 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 320 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 321 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 322 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 323 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 324 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 325 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 326 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 327 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 328 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 329 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 330 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 331 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 332 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 333 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 334 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 335 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 336 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 337 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 338 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 339 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 340 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 341 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 342 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 343 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 344 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 345 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 346 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 347 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 348 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 349 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 350 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 351 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 352 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 353 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 354 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 355 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 356 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 357 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 358 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 359 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 360 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 361 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 362 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 363 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 364 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 365 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 366 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 367 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 368 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 369 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 370 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 371 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 372 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 373 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 374 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 375 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 376 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 377 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 378 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 379 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 380 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 381 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 382 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 383 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 384 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 385 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 386 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 387 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 388 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 389 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 390 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 391 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 392 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 393 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 394 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 395 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 396 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 397 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 398 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 399 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 400 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 401 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 402 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 403 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 404 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 405 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 406 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 407 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 408 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 409 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 410 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 411 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 412 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 413 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 414 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 415 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 416 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 417 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 418 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 419 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 420 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 421 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 422 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 423 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 424 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 425 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 426 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 427 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 428 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 429 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 430 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 431 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 432 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 433 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 434 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 435 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 436 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 437 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 438 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 439 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 440 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 441 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 442 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 443 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 444 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 445 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 446 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 447 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 448 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 449 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 450 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 451 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 452 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 453 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 454 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 455 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 456 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 457 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 458 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 459 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 460 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 461 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 462 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 463 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 464 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 465 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 466 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 467 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 468 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 469 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 470 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 471 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 472 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 473 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 474 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 475 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 476 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 477 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 478 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 479 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 480 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 481 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 482 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 483 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 484 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 485 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 486 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 487 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 488 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 489 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 490 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 491 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 492 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 493 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 494 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 495 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 496 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 497 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 498 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 499 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 500 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 501 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 502 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 503 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 504 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 505 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 506 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 507 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 508 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 509 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 510 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 511 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 512 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 513 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 514 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 515 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 516 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 517 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 518 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 519 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 520 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 521 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 522 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 523 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 524 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 2 38111
## 525 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 526 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 527 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 528 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 529 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 530 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 531 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 532 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 533 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 534 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 535 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 536 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 537 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 538 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 539 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 540 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 541 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 542 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 3 38111
## 543 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 544 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 545 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 546 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 547 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 5 38111
## 548 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 549 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 550 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 1 38111
## 551 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## 552 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 6 38111
## 553 ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL 4 38111
## DateOccur CodedMonth Complaint
## 1 2018-06-07 23:15:00 2018-07-28 18-025815
## 2 2018-02-17 09:20:00 2018-03-28 18-007586
## 3 2019-11-21 16:05:00 2019-12-28 19-058529
## 4 2018-05-23 23:00:00 2018-06-28 18-024355
## 5 2019-06-25 18:27:00 2019-07-28 19-030050
## 6 2018-08-27 00:46:00 2018-09-28 18-040243
## 7 2018-08-28 21:40:00 2018-09-28 18-040647
## 8 2018-04-27 21:50:00 2018-05-28 18-018708
## 9 2019-10-29 23:55:00 2019-11-28 19-054437
## 10 2018-10-30 21:20:00 2018-11-28 18-051821
## 11 2018-02-27 21:35:00 2018-03-28 18-009245
## 12 2018-11-30 14:32:00 2018-12-28 18-056745
## 13 2018-12-01 17:14:00 2018-12-28 18-056945
## 14 2018-12-01 16:17:00 2018-12-28 18-056939
## 15 2018-12-01 00:15:00 2018-12-28 18-056817
## 16 2018-11-01 17:47:00 2018-11-28 18-052198
## 17 2018-11-01 03:00:00 2018-11-28 18-052054
## 18 2018-07-01 06:15:00 2018-07-28 18-030045
## 19 2018-06-01 04:33:00 2018-06-28 18-024592
## 20 2018-03-01 23:20:00 2018-03-28 18-009537
## 21 2018-01-01 23:23:00 2018-01-28 18-000174
## 22 2018-01-01 21:18:00 2018-01-28 18-000163
## 23 2018-01-01 10:53:00 2018-01-28 18-000072
## 24 2019-02-01 16:35:00 2019-02-28 19-004847
## 25 2019-03-01 00:10:00 2019-03-28 19-009226
## 26 2019-03-01 01:00:00 2019-03-28 19-009232
## 27 2019-03-01 23:25:00 2019-03-28 19-009445
## 28 2019-04-01 22:30:00 2019-04-28 19-014264
## 29 2019-06-01 05:20:00 2019-06-28 19-025314
## 30 2019-07-01 03:40:00 2019-07-28 19-031062
## 31 2019-07-01 18:10:00 2019-07-28 19-031219
## 32 2019-09-01 04:30:00 2019-09-28 19-043116
## 33 2019-09-01 23:00:00 2019-09-28 19-043273
## 34 2019-11-01 18:17:00 2019-11-28 19-054980
## 35 2018-10-01 00:20:00 2018-10-28 18-046575
## 36 2018-10-01 00:50:00 2018-10-28 18-046578
## 37 2018-10-01 00:54:00 2018-10-28 18-046579
## 38 2019-12-01 17:30:00 2019-12-28 19-060082
## 39 2018-12-02 18:24:00 2018-12-28 18-057099
## 40 2018-11-02 22:35:00 2018-11-28 18-052534
## 41 2018-11-02 02:40:00 2018-11-28 18-052250
## 42 2018-08-02 23:10:00 2018-08-28 18-035856
## 43 2018-08-02 11:10:00 2018-08-28 18-035738
## 44 2019-02-02 12:24:00 2019-02-28 19-004955
## 45 2019-02-02 17:45:00 2019-02-28 19-005016
## 46 2019-03-02 05:00:00 2019-03-28 19-009542
## 47 2019-06-02 16:20:00 2019-06-28 19-025575
## 48 2019-07-02 21:10:00 2019-07-28 19-031454
## 49 2019-09-02 03:50:00 2019-09-28 19-043284
## 50 2019-11-02 21:00:00 2019-11-28 19-055161
## 51 2018-11-03 18:40:00 2018-11-28 18-052549
## 52 2018-11-03 00:38:00 2018-11-28 18-052441
## 53 2018-09-03 02:40:00 2018-09-28 18-041569
## 54 2018-08-03 23:10:00 2018-08-28 18-036044
## 55 2018-06-03 21:16:00 2018-06-28 18-025068
## 56 2018-05-03 16:46:00 2018-05-28 18-019750
## 57 2018-04-03 18:00:00 2018-04-28 18-014717
## 58 2019-05-03 14:11:00 2019-05-28 19-020004
## 59 2019-05-03 21:26:00 2019-05-28 19-020080
## 60 2019-06-03 22:35:00 2019-06-28 19-025828
## 61 2019-08-03 16:00:00 2019-08-28 19-037708
## 62 2019-10-03 21:50:00 2019-10-28 19-049663
## 63 2018-10-03 13:17:00 2018-10-28 18-047057
## 64 2018-11-04 20:20:00 2018-11-28 18-052738
## 65 2018-11-04 01:35:00 2018-11-28 18-052594
## 66 2018-11-04 01:25:00 2018-11-28 18-052591
## 67 2018-09-04 21:33:00 2018-09-28 18-041888
## 68 2018-09-04 08:30:00 2018-09-28 18-041740
## 69 2018-08-04 03:30:00 2018-08-28 18-036111
## 70 2018-05-04 10:55:00 2018-05-28 18-019847
## 71 2019-02-04 18:15:00 2019-02-28 19-005341
## 72 2019-06-04 02:00:00 2019-06-28 19-025831
## 73 2019-06-04 05:25:00 2019-06-28 19-025841
## 74 2019-06-04 17:00:00 2019-06-28 19-025971
## 75 2019-08-04 07:30:00 2019-08-28 19-037682
## 76 2019-10-04 02:25:00 2019-10-28 19-049688
## 77 2018-12-05 21:40:00 2018-12-28 18-057670
## 78 2018-12-05 21:25:00 2018-12-28 18-057688
## 79 2018-11-05 22:30:00 2018-11-28 18-052948
## 80 2018-11-05 18:30:00 2018-11-28 18-052920
## 81 2018-11-05 14:08:00 2018-11-28 18-052876
## 82 2018-11-05 12:00:00 2018-11-28 18-052853
## 83 2018-08-05 02:08:00 2018-08-28 18-036226
## 84 2018-02-05 03:07:00 2018-02-28 18-005622
## 85 2019-01-05 01:36:00 2019-01-28 19-000688
## 86 2019-02-05 21:50:00 2019-02-28 19-005544
## 87 2019-02-05 22:35:00 2019-02-28 19-005548
## 88 2019-03-05 08:45:00 2019-03-28 19-010006
## 89 2019-04-05 23:00:00 2019-04-28 19-014985
## 90 2019-05-05 21:25:00 2019-05-28 19-023497
## 91 2019-05-05 21:53:00 2019-05-28 19-020430
## 92 2019-06-05 06:06:00 2019-06-28 19-026042
## 93 2019-10-05 18:36:00 2019-10-28 19-049989
## 94 2019-11-05 01:45:00 2019-11-28 19-055546
## 95 2018-10-05 00:01:00 2018-10-28 18-047342
## 96 2018-10-05 21:37:00 2018-10-28 18-047494
## 97 2018-12-06 10:00:00 2018-12-28 18-057742
## 98 2018-12-06 03:20:00 2018-12-28 18-057696
## 99 2018-11-06 12:50:00 2018-11-28 18-053066
## 100 2018-09-06 02:17:00 2018-09-28 18-042083
## 101 2018-08-06 21:00:00 2018-08-28 18-036600
## 102 2018-06-06 22:45:00 2018-06-28 18-025647
## 103 2018-06-06 04:05:00 2018-06-28 18-025490
## 104 2018-05-06 03:50:00 2018-05-28 18-020153
## 105 2018-05-06 02:42:00 2018-05-28 18-020143
## 106 2019-01-06 18:05:00 2019-01-28 19-000923
## 107 2019-02-06 19:05:00 2019-02-28 19-005707
## 108 2019-02-06 20:50:00 2019-02-28 19-005716
## 109 2019-05-06 23:30:00 2019-05-28 19-020822
## 110 2019-10-06 01:10:00 2019-10-28 19-050025
## 111 2019-10-06 03:18:00 2019-10-28 19-050040
## 112 2019-11-06 00:10:00 2019-11-28 19-055718
## 113 2019-12-06 08:00:00 2019-12-28 19-060988
## 114 2018-12-07 13:50:00 2018-12-28 18-057963
## 115 2018-11-07 06:05:00 2018-11-28 18-053174
## 116 2018-07-07 00:30:00 2018-07-28 18-031108
## 117 2018-06-07 23:15:00 2018-06-28 18-025823
## 118 2018-05-07 22:00:00 2018-05-28 18-020458
## 119 2018-02-07 04:50:00 2018-02-28 18-005921
## 120 2019-02-07 20:00:00 2019-02-28 19-005892
## 121 2019-04-07 04:51:00 2019-04-28 19-015173
## 122 2019-06-07 04:50:00 2019-06-28 19-026419
## 123 2019-09-07 20:43:00 2019-09-28 19-044458
## 124 2019-09-07 22:20:00 2019-09-28 19-044549
## 125 2019-10-07 05:00:00 2019-10-28 19-050177
## 126 2019-10-07 19:45:00 2019-10-28 19-050356
## 127 2019-10-07 20:30:00 2019-10-28 19-050359
## 128 2019-10-07 23:50:00 2019-10-28 19-050373
## 129 2019-12-07 07:00:00 2019-12-28 19-061153
## 130 2018-12-08 01:40:00 2018-12-28 18-058039
## 131 2018-11-08 20:26:00 2018-11-28 18-053462
## 132 2018-09-08 00:50:00 2018-09-28 18-042437
## 133 2018-08-08 04:15:00 2018-08-28 18-036820
## 134 2018-07-08 05:04:00 2018-07-28 18-031291
## 135 2018-06-08 22:20:00 2018-06-28 18-025999
## 136 2018-01-08 21:40:00 2018-01-28 18-001271
## 137 2019-01-08 12:30:00 2019-01-28 19-001232
## 138 2019-02-08 21:35:00 2019-02-28 19-006073
## 139 2019-04-08 21:10:00 2019-04-28 19-015510
## 140 2019-06-08 00:10:00 2019-06-28 19-026587
## 141 2019-07-08 22:45:00 2019-07-28 19-032570
## 142 2019-08-08 09:30:00 2019-08-28 19-038432
## 143 2019-10-08 06:13:00 2019-10-28 19-050389
## 144 2018-10-08 21:20:00 2018-10-28 18-047999
## 145 2019-12-08 01:00:00 2019-12-28 19-061254
## 146 2018-12-09 23:00:00 2018-12-28 18-058315
## 147 2018-12-09 18:38:00 2018-12-28 18-058295
## 148 2018-09-09 10:00:00 2018-09-28 18-042621
## 149 2018-09-09 07:40:00 2018-09-28 18-042711
## 150 2018-09-09 07:10:00 2018-09-28 18-042608
## 151 2018-07-09 07:53:00 2018-07-28 18-031436
## 152 2018-06-09 20:00:00 2018-06-28 18-026143
## 153 2018-03-09 19:40:00 2018-03-28 18-010720
## 154 2018-03-09 00:45:00 2018-03-28 18-010598
## 155 2018-02-09 13:05:00 2018-02-28 18-006325
## 156 2019-04-09 17:00:00 2019-04-28 19-015674
## 157 2019-06-09 20:30:00 2019-06-28 19-026889
## 158 2019-06-09 23:45:00 2019-06-28 19-026930
## 159 2019-07-09 00:35:00 2019-07-28 19-032582
## 160 2019-07-09 22:35:00 2019-07-28 19-032762
## 161 2019-08-09 16:30:00 2019-08-28 19-038661
## 162 2019-09-09 05:31:00 2019-09-28 19-044645
## 163 2019-09-09 21:15:00 2019-09-28 19-044839
## 164 2018-11-10 22:07:00 2018-11-28 18-053760
## 165 2018-08-10 12:30:00 2018-08-28 18-037314
## 166 2018-08-10 01:10:00 2018-08-28 18-037218
## 167 2018-06-10 04:06:00 2018-06-28 18-026201
## 168 2018-06-10 03:39:00 2018-06-28 18-026197
## 169 2018-02-10 22:40:00 2018-02-28 18-006542
## 170 2018-02-10 16:27:00 2018-02-28 18-006489
## 171 2019-01-10 21:00:00 2019-01-28 19-001672
## 172 2019-02-10 00:12:00 2019-02-28 19-006232
## 173 2019-02-10 21:13:00 2019-02-28 19-006339
## 174 2019-03-10 09:35:00 2019-03-28 19-010699
## 175 2019-03-10 22:20:00 2019-03-28 19-010784
## 176 2019-04-10 04:10:00 2019-04-28 19-015740
## 177 2019-04-10 06:00:00 2019-04-28 19-015746
## 178 2019-04-10 07:00:00 2019-04-28 19-015755
## 179 2019-05-10 15:00:00 2019-05-28 19-021382
## 180 2019-05-10 21:00:00 2019-05-28 19-021408
## 181 2019-07-10 17:50:00 2019-07-28 19-032906
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## 528 2019-10-29 16:40:00 2019-10-28 19-054369
## 529 2019-11-29 23:17:00 2019-11-28 19-059854
## 530 2018-10-29 00:25:00 2018-10-28 18-051472
## 531 2018-10-29 15:15:00 2018-10-28 18-051573
## 532 2018-11-30 21:50:00 2018-11-28 18-056801
## 533 2018-11-30 11:30:00 2018-11-28 18-056710
## 534 2018-09-30 01:10:00 2018-09-28 18-046438
## 535 2018-03-30 01:15:00 2018-03-28 18-013962
## 536 2019-01-30 13:00:00 2019-01-28 19-004478
## 537 2019-03-30 21:50:00 2019-03-28 19-013968
## 538 2019-04-30 22:00:00 2019-04-28 19-019539
## 539 2019-08-30 04:27:00 2019-08-28 19-042758
## 540 2019-10-30 20:22:00 2019-10-28 19-054603
## 541 2018-10-30 20:50:00 2018-10-28 18-051814
## 542 2019-12-30 20:13:00 2019-12-28 19-064763
## 543 2018-08-31 23:40:00 2018-08-28 18-041235
## 544 2018-07-31 11:36:00 2018-07-28 18-035331
## 545 2018-05-31 16:34:00 2018-05-28 18-024520
## 546 2019-01-31 12:35:00 2019-01-28 19-004632
## 547 2019-03-31 07:00:00 2019-03-28 19-014004
## 548 2019-03-31 14:49:00 2019-03-28 19-014043
## 549 2019-05-31 17:05:00 2019-05-28 19-025243
## 550 2019-07-31 00:45:00 2019-07-28 19-036807
## 551 2019-10-31 08:00:00 2019-10-28 19-054647
## 552 2019-10-31 15:55:00 2019-10-28 19-054744
## 553 2019-12-31 20:25:00 2019-12-28 19-064936Bring in the Neighborhood Details
Imported US Census data to bring in geospatial polygons that represent St Louis Neighborhoods.
Transform mapview data into WGS84 structure.
Finally, make sure data is actually a geospatial object and can be used later for mapping purposes.
Review Neighborhood Data
We have 88 neighborhoods along with their name and numbers
Note that NHD_NUM are typed as factors not integers. Will have to adjust that later.
The polygon shape details are included in this data frame.
## Observations: 88
## Variables: 6
## $ NHD_NUM <fct> 43, 29, 28, 40, 41, 42, 39, 44, 36, 37, 62, 61, 45, 77, ...
## $ NHD_NAME <fct> Franz Park, Tiffany, Botanical Heights, Kings Oak, Chelt...
## $ ANGLE <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
## $ NHD_NUMTXT <fct> 43 Franz Park, 29 Tiffany, 28 Botanical Heights, 40 King...
## $ SHAPE_area <dbl> 11012014, 5887342, 11586012, 4706723, 9245751, 9771242, ...
## $ SHAPE_len <dbl> 14740.430, 10467.847, 14700.023, 9239.956, 12357.106, 12...## Observations: 553
## Variables: 17
## $ Reporting.diff <drtn> 51 days, 39 days, 37 days, 36 days, 33 days, 32 da...
## $ YCoord <dbl> 0.0, 1033804.0, 1024267.0, 1019998.0, 1040186.0, 10...
## $ XCoord <dbl> 0.0, 881699.4, 907942.8, 908631.4, 890790.9, 909303...
## $ CADStreet <chr> "PAGE", "AMHERST", "KISLING", "COLE", "ARLINGTON", ...
## $ CADAddress <int> 6250, 1436, 2124, 809, 4533, NA, 4401, 7320, 3217, ...
## $ LocationComment <chr> "", "", "", "", "", "", "", "", "INTERSECTION", "",...
## $ LocationName <chr> "", "", "", "", "", "", "GARAGE IN REAR", "", "", "...
## $ Neighborhood <chr> "78", "78", "63", "62", "71", "35", "16", "48", "56...
## $ ILEADSStreet <chr> "HODIAMONT", "AMHERST TER", "KISLING LN", "COLE ST"...
## $ ILEADSAddress <int> 1377, 1436, 2124, 809, 4533, 400, 4401, NA, 0, 2115...
## $ Description <chr> "ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL", "ROB...
## $ District <int> 5, 5, 4, 4, 6, 4, 1, 5, 6, 3, 5, 5, 4, 5, 4, 1, 4, ...
## $ Crime <int> 38111, 38111, 38111, 38111, 38111, 38111, 38111, 38...
## $ DateOccur <dttm> 2018-06-07 23:15:00, 2018-02-17 09:20:00, 2019-11-...
## $ CodedMonth <date> 2018-07-28, 2018-03-28, 2019-12-28, 2018-06-28, 20...
## $ Complaint <chr> "18-025815", "18-007586", "19-058529", "18-024355",...
## $ NHD_NAME <fct> Hamilton Heights, Hamilton Heights, Old North St. L...Group by Month and Count Number of Carjackings per month
Group data by coded month.
Count the number of carjackings per month.
Display table.
Monthly Count
## # A tibble: 20 x 3
## # Groups: CodedMonth [20]
## CodedMonth Crime n
## <date> <int> <int>
## 1 2018-11-28 38111 38
## 2 2019-10-28 38111 31
## 3 2018-08-28 38111 30
## 4 2018-06-28 38111 28
## 5 2019-06-28 38111 28
## 6 2018-12-28 38111 25
## 7 2019-04-28 38111 25
## 8 2018-09-28 38111 24
## 9 2018-10-28 38111 24
## 10 2018-05-28 38111 23
## 11 2018-07-28 38111 23
## 12 2019-08-28 38111 23
## 13 2019-05-28 38111 22
## 14 2019-07-28 38111 21
## 15 2019-09-28 38111 21
## 16 2019-02-28 38111 20
## 17 2019-03-28 38111 20
## 18 2019-11-28 38111 20
## 19 2019-12-28 38111 20
## 20 2018-01-28 38111 19Totals by Month Using ggplot2
Data presented in a bar graph with totals displayed above the bar.
I added a LOESS (locally weighted smoothing) line to get a better view of the crime movement.
Note that November 2018 was the peak.
Timeframe when Channel 5 reported abount the severe increase in carjackings.
Also the same timeframe when they reported establishing a crime task force.
Carjacks by Month
Next, Look at Neighborhood by Name and Count Carjacks
Had to convert the factor variable (NHD_NAME) and account for missing instances (NA).
Group the neighborhoods and count carjack instances, then put in decending order.
Next slide ranks carjacking numbers per neighborhood, high to low.
Neighborhood Numbers
## # A tibble: 77 x 3
## # Groups: NHD_NAME [77]
## NHD_NAME Crime n
## <fct> <int> <int>
## 1 Dutchtown 38111 28
## 2 Baden 38111 25
## 3 Central West End 38111 21
## 4 West End 38111 20
## 5 Wells Goodfellow 38111 19
## 6 Greater Ville 38111 18
## 7 Tower Grove East 38111 18
## 8 Downtown 38111 17
## 9 Hamilton Heights 38111 17
## 10 Penrose 38111 17
## # ... with 67 more rowsNeighborhood Count by Month
Group by Neighborhood Name.
Count number of carjacks
Put grouped data in descending order
Select only neighborhoods with carjacks greater than 5.
Plot results
Carjacks by Neighborhood
Time of Day Carjacks
Break down 24 hour timeframe into 6 hour blocks - morning, afternoon, evening, night
Create and mutate an hour of day field using lubridate
Add a new field to crimeA data frame to categorize a day into 6 hour blocks
Use a logic functons to create time of day categories
Time of Day
## Reporting.diff YCoord XCoord CADStreet
## Length:553 Min. : 0 Min. : 0 Length:553
## Class :difftime 1st Qu.:1009898 1st Qu.:888870 Class :character
## Mode :numeric Median :1023023 Median :894637 Mode :character
## Mean :1004900 Mean :880091
## 3rd Qu.:1031388 3rd Qu.:900300
## Max. :1068450 Max. :911183
##
## CADAddress LocationComment LocationName Neighborhood
## Min. : 35 Length:553 Length:553 Length:553
## 1st Qu.:1920 Class :character Class :character Class :character
## Median :3822 Mode :character Mode :character Mode :character
## Mean :3626
## 3rd Qu.:4806
## Max. :9151
## NA's :143
## ILEADSStreet ILEADSAddress Description District
## Length:553 Min. : 0 Length:553 Min. :0.000
## Class :character 1st Qu.: 1183 Class :character 1st Qu.:3.000
## Mode :character Median : 3174 Mode :character Median :4.000
## Mean : 2989 Mean :3.915
## 3rd Qu.: 4448 3rd Qu.:5.000
## Max. :10325 Max. :6.000
## NA's :1
## Crime DateOccur CodedMonth
## Min. :38111 Min. :2018-01-01 10:53:00 Min. :2018-01-28
## 1st Qu.:38111 1st Qu.:2018-07-28 10:49:00 1st Qu.:2018-07-28
## Median :38111 Median :2018-12-20 18:02:00 Median :2018-12-28
## Mean :38111 Mean :2019-01-07 02:44:32 Mean :2019-01-19
## 3rd Qu.:38111 3rd Qu.:2019-06-26 01:50:00 3rd Qu.:2019-06-28
## Max. :38111 Max. :2019-12-31 20:25:00 Max. :2019-12-28
##
## Complaint NHD_NAME
## Length:553 Dutchtown : 28
## Class :character Baden : 25
## Mode :character Central West End: 21
## West End : 20
## Wells Goodfellow: 19
## (Other) :438
## NA's : 2Understand and Generate Geospatial Structures
XCoord and YCoord coordinates are based on the State Plane North American Datum 1983 (NAD83) format.
This data will have to be converted to lat/long values.
Some of the XCoords and YCoords have values of O. This will need to be accounted for later in the analysis.
Account For Inconsistent Coordinate Data
Collect records whose X/Y Coord values are zeros.
Subset the records that have “zero” values in XCoord, YCoord.
These records will need a different type of processing.
Convert the NAD83 Coordinates to WGS84 Structure
Function transforms all the State Plane Coordinate values into NAD84 lat/long coordinates.
More modern mapping structure used for GPS Mapping.
Projections are critical
nad83_coords <- data.frame(x=crimeD.complete$XCoord, y=crimeD.complete$YCoord) # My coordinates in NAD83
nad83_coords <- nad83_coords *.3048 ## Feet to meters
coordinates(nad83_coords) <- c('x', 'y')
proj4string(nad83_coords)=CRS("+init=epsg:2815")
coordinates_deg <- spTransform(nad83_coords,CRS("+init=epsg:4326"))
coordinates_deg
#str(coordinates_deg)
#class(coordinates_deg)
# add converted lat-lonf and convert to numeric values
crimeD.complete$lon <- as.numeric(coordinates_deg$x)
crimeD.complete$lat <- as.numeric(coordinates_deg$y)
#class(crimeD.complete)## Observations: 544
## Variables: 19
## $ Reporting.diff <drtn> 39 days, 37 days, 36 days, 33 days, 32 days, 30 da...
## $ YCoord <dbl> 1033804.0, 1024267.0, 1019998.0, 1040186.0, 1017205...
## $ XCoord <dbl> 881699.4, 907942.8, 908631.4, 890790.9, 909303.9, 8...
## $ CADStreet <chr> "AMHERST", "KISLING", "COLE", "ARLINGTON", "", "TAY...
## $ CADAddress <int> 1436, 2124, 809, 4533, NA, 3217, NA, NA, NA, 1463, ...
## $ LocationComment <chr> "", "", "", "", "", "INTERSECTION", "", "REAR ALLEY...
## $ LocationName <chr> "", "", "", "", "", "", "", "", "", "", "", "", "",...
## $ Neighborhood <chr> "78", "63", "62", "71", "35", "56", "23", "46", "52...
## $ ILEADSStreet <chr> "AMHERST TER", "KISLING LN", "COLE ST", "ARLINGTON ...
## $ ILEADSAddress <int> 1436, 2124, 809, 4533, 400, 0, 2115, 6031, 5280, 14...
## $ Description <chr> "ROBBERY CARJACKING /FIREARM USED/SUCCESSFUL", "ROB...
## $ District <int> 5, 4, 4, 6, 4, 6, 3, 5, 5, 4, 5, 4, 1, 4, 6, 4, 3, ...
## $ Crime <int> 38111, 38111, 38111, 38111, 38111, 38111, 38111, 38...
## $ DateOccur <dttm> 2018-02-17 09:20:00, 2019-11-21 16:05:00, 2018-05-...
## $ CodedMonth <date> 2018-03-28, 2019-12-28, 2018-06-28, 2019-07-28, 20...
## $ Complaint <chr> "18-007586", "19-058529", "18-024355", "19-030050",...
## $ NHD_NAME <fct> Hamilton Heights, Old North St. Louis, Columbus Squ...
## $ lon <dbl> -90.28462, -90.19281, -90.19045, -90.25272, -90.188...
## $ lat <dbl> 38.67254, 38.64615, 38.63442, 38.69000, 38.62675, 3...Processing the Incomplete Data with Missing Coordinates
Used censusxy library to pull latitude/longitude.
The geocode function from the library requires a street address and number, city, and zip code (if available).
It goes to the US Census Bureau to look up the address reported on police record and returns a lat/long.
It creates an sf file and allows plotting of locations on a map.
Can only convert 22 instances with censusxy since some addresses locations are missing.
Generate Map
- Here is the censusxy code to generate the map
data <- mutate(crimeD.zeros, address.comb = paste(CADAddress, CADStreet, sep = " "),
city = "St Louis", state = "MO")
crimeD_sf <- cxy_geocode(data, address = address.comb, city = city,
state = state, style = "minimal", output = "sf")
STL_Carjacks.small <- mapview(crimeD_sf,
map.types = c("OpenStreetMap"),
legend = FALSE,
popup = popupTable(data, zcol = c("Complaint",
"CodedMonth",
"NHD_NAME",
"District",
"Crime",
"Description")))Locations Obtained From US Census With Addresses Only
View Entire Geospatial Picture as Dynamic Map
Now Let’s Add-in the Neighborhoods
Add neighborhoods.
Data from https://www.census.gov/geo/maps-data/data/cbf/cbf_state.html
Hoods
Final Map of everything
- Combine all the maps.
Now We Look at Some Plots Targeting the Intensity of the Crime Area
We select the ggplot2 tool
Input the file containing ALL the carjack locations
This give us a plot of all the the carjack locations.
We are now ready to create our density, heat and contour maps.
Carjacks
Modify Plots Into Different Views to Display the Data
First we create a density map which shows contoured peaks as highest crime numbers for an area.
Next we create heat map which uses darkers colors to illustrat higher crime numbers.
Finally, we create at a cluster map which groups markers that crime counts in an area.
Density Plot
Finally, we create a heat map
## Another View of Crime Area Numbers {data-background=#F5FAFF}
We can use another tool to depict crime cluster locations - LEAFLET
It uses clusters to illustrate numbers in an area.
Count instances and allows us to drill down.
zz <- leaflet(data=crimeD.complete) %>%
addTiles() %>%
setView(-90.222, 38.608, zoom = 13) %>%
addProviderTiles(providers$CartoDB.Positron) %>%
addCircleMarkers(lng = ~lon,
lat = ~lat,
fillColor = blues9,
stroke = FALSE, fillOpacity = 0.8,
clusterOptions = markerClusterOptions(),
popup = ~DateOccur) %>%
addPolygons(data= hoods.sf, label = ~NHD_NAME,
color = "#444444",
weight = 1,
smoothFactor = 0.5,
opacity = 1.0,
fillOpacity = 0.005,
highlightOptions = highlightOptions(color = "white",
weight = 2,
bringToFront = TRUE))Carjackings
Remember my Earlier Comments About Chief Hayden’s Crime Box?
This is how it plots out against carjacks.
And the mayor said she would give him an A?
Not Sure That He Deserves an “A”
mapshot(total_carjacks, url = paste0(getwd(), "/carjack_map.html"),
file = paste0(getwd(), "/carjack_map.png"))Quick Review Homicide Analysis
