20200710
15355500
1.0
FALSE
c2009Crashes_Merge3
002
0.000
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.5.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20200714
12472300
20200714
12472300
Esri ArcGIS 12.5.0.22081
c2009Crashes_Merge3
Crashes
2009-2018 Crashes at Ped 2020 Study areas
File Geodatabase Feature Class
0.000
dataset
EPSG
6.14(3.0.1)
0
Simple
FALSE
0
TRUE
TRUE
c2009Crashes_Merge3
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
CRN
CRN
Integer
4
0
0
DISTRICT
DISTRICT
Integer
4
0
0
COUNTY
COUNTY
Integer
4
0
0
MUNICIPALI
MUNICIPALI
Integer
4
0
0
CRASH_YEAR
CRASH_YEAR
Integer
4
0
0
CRASH_MONT
CRASH_MONT
Integer
4
0
0
DAY_OF_WEE
DAY_OF_WEE
Integer
4
0
0
TIME_OF_DA
TIME_OF_DA
Integer
4
0
0
HOUR_OF_DA
HOUR_OF_DA
Integer
4
0
0
WEATHER
WEATHER
Integer
4
0
0
FATAL_COUN
FATAL_COUN
Integer
4
0
0
INJURY_COU
INJURY_COU
Integer
4
0
0
PERSON_COU
PERSON_COU
Integer
4
0
0
TOTAL_UNIT
TOTAL_UNIT
Integer
4
0
0
SCH_BUS_IN
SCH_BUS_IN
String
254
0
0
SCH_ZONE_I
SCH_ZONE_I
String
254
0
0
LATITUDE
LATITUDE
String
254
0
0
LONGITUDE
LONGITUDE
String
254
0
0
VEHICLE_CO
VEHICLE_CO
Integer
4
0
0
AUTOMOBILE
AUTOMOBILE
Integer
4
0
0
MOTORCYCLE
MOTORCYCLE
Integer
4
0
0
BUS_COUNT
BUS_COUNT
Integer
4
0
0
SMALL_TRUC
SMALL_TRUC
Integer
4
0
0
HEAVY_TRUC
HEAVY_TRUC
Integer
4
0
0
SUV_COUNT
SUV_COUNT
Integer
4
0
0
VAN_COUNT
VAN_COUNT
Integer
4
0
0
BICYCLE_CO
BICYCLE_CO
Integer
4
0
0
MAJ_INJ_CO
MAJ_INJ_CO
Integer
4
0
0
MOD_INJ_CO
MOD_INJ_CO
Integer
4
0
0
MIN_INJ_CO
MIN_INJ_CO
Integer
4
0
0
TOT_INJ_CO
TOT_INJ_CO
Integer
4
0
0
UNK_INJ_DE
UNK_INJ_DE
Integer
4
0
0
UNK_INJ_PE
UNK_INJ_PE
Integer
4
0
0
DRIVER_COU
DRIVER_COU
Integer
4
0
0
DRIVER_C_1
DRIVER_C_1
Integer
4
0
0
DRIVER_C_2
DRIVER_C_2
Integer
4
0
0
DRIVER_C_3
DRIVER_C_3
Integer
4
0
0
DRIVER_C_4
DRIVER_C_4
Integer
4
0
0
DRIVER_C_5
DRIVER_C_5
Integer
4
0
0
DRIVER_C_6
DRIVER_C_6
Integer
4
0
0
DRIVER_C_7
DRIVER_C_7
Integer
4
0
0
UNBELTED_O
UNBELTED_O
Integer
4
0
0
UNB_DEATH_
UNB_DEATH_
Integer
4
0
0
UNB_MAJ_IN
UNB_MAJ_IN
Integer
4
0
0
BELTED_DEA
BELTED_DEA
Integer
4
0
0
BELTED_MAJ
BELTED_MAJ
Integer
4
0
0
MCYCLE_DEA
MCYCLE_DEA
Integer
4
0
0
MCYCLE_MAJ
MCYCLE_MAJ
Integer
4
0
0
BICYCLE_DE
BICYCLE_DE
Integer
4
0
0
BICYCLE_MA
BICYCLE_MA
Integer
4
0
0
PED_COUNT
PED_COUNT
Integer
4
0
0
PED_DEATH_
PED_DEATH_
Integer
4
0
0
PED_MAJ_IN
PED_MAJ_IN
Integer
4
0
0
MAX_SEVERI
MAX_SEVERI
Integer
4
0
0
COMM_VEH_C
COMM_VEH_C
Integer
4
0
0
DEC_LAT
DEC_LAT
Double
8
0
0
DEC_LONG
DEC_LONG
Double
8
0
0
20200714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