20231102
14362300
1.0
FALSE
https://gis.countyofriverside.us/arcgis_public/rest/services/GeocodingService/RiversideGeocoder/GeocodeServer/Riverside Geocoder
Address
::
https://www.arcgis.com/
::
http://www.esri.com/AGO/CEB335E5-F460-4209-BCC2-AD4A91510A0A
FALSE
FALSE
FALSE
{92B913C2-FDF2-46D1-9D69-58F6711FE468}
Geocode,ReverseGeocode,Suggest
0
0
0
0
60
::
::
IN_Street
IN_City
IN_State
IN_ZIP
::
::
Loc_name
Shape
Score
Match_addr
Addr_type
AddNum
Side
StPreDir
StPreType
StName
StType
StDir
SubAddType
SubAddUnit
StAddr
City
County
State
StateAbbr
ZIP
Country
LangCode
Distance
X
Y
DisplayX
DisplayY
Xmin
Xmax
Ymin
Ymax
AddNumFrom
AddNumTo
Rank
Status
CoachellaSites
002
0.000
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_VI_FIPS_0406_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/2.9.0'><WKT>PROJCS["NAD_1983_StatePlane_California_VI_FIPS_0406_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-116.25],PARAMETER["Standard_Parallel_1",32.78333333333333],PARAMETER["Standard_Parallel_2",33.88333333333333],PARAMETER["Latitude_Of_Origin",32.16666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2230]]</WKT><XOrigin>-118608900</XOrigin><YOrigin>-91259500</YOrigin><XYScale>35979706.307677768</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102646</WKID><LatestWKID>2230</LatestWKID></ProjectedCoordinateSystem>
20231103
11523100
20231103
11523100
Esri ArcGIS 12.9.4.32739
CoachellaSites
ret
ergrete
Shapefile
0.000
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
FALSE
FALSE
CoachellaSites
Feature Class
0
FID
FID
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.
Loc_name
Loc_name
String
14
0
0
Score
Score
Double
19
0
0
Match_type
Match_type
String
2
0
0
Match_addr
Match_addr
String
120
0
0
Addr_type
Addr_type
String
20
0
0
AddNum
AddNum
String
20
0
0
Side
Side
String
1
0
0
StPreDir
StPreDir
String
20
0
0
StPreType
StPreType
String
20
0
0
StName
StName
String
70
0
0
StType
StType
String
20
0
0
StDir
StDir
String
20
0
0
SubAddType
SubAddType
String
12
0
0
SubAddUnit
SubAddUnit
String
12
0
0
StAddr
StAddr
String
120
0
0
City
City
String
120
0
0
County
County
String
100
0
0
State
State
String
120
0
0
StateAbbr
StateAbbr
String
100
0
0
ZIP
ZIP
String
10
0
0
Country
Country
String
3
0
0
LangCode
LangCode
String
3
0
0
Distance
Distance
Double
19
0
0
X
X
Double
19
0
0
Y
Y
Double
19
0
0
DisplayX
DisplayX
Double
19
0
0
DisplayY
DisplayY
Double
19
0
0
Xmin
Xmin
Double
19
0
0
Xmax
Xmax
Double
19
0
0
Ymin
Ymin
Double
19
0
0
Ymax
Ymax
Double
19
0
0
AddNumFrom
AddNumFrom
String
10
0
0
AddNumTo
AddNumTo
String
10
0
0
Rank
Rank
String
5
0
0
Status
Status
String
1
0
0
IN_Street
IN_Street
String
100
0
0
IN_City
IN_City
String
40
0
0
IN_State
IN_State
String
100
0
0
IN_ZIP
IN_ZIP
String
10
0
0
USER_Locat
USER_Locat
String
254
0
0
USER_Addre
USER_Addre
String
254
0
0
USER_City
USER_City
String
254
0
0
USER_State
USER_State
String
254
0
0
20231103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