20241008
14251500
1.0
FALSE
APNNODASH
Address
Single Field
80
80
80
true
true
false
false
true
false
false
true
true
false
::
false
false
600
600
-1
en
xx
true
0
ReferenceDataUnits
0
Percent
::
false
false
L
R
::
ARC_SingleKey
128
false
10
true
false
true
false
512 MB
1
{DA70B7E3-10B2-42E3-BFF7-6C81355862BC}
ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory.1; Path = ..\..\..\..\Tools\AddressLocator
True
sde.DEFAULT
133721754053640000
1:10:05 PM
APNNODASH
{AE5A3A0E-F756-11D2-9F4F-00C04F8ED1C4}
True
Shape
Status
Score
Match_addr
X
Y
Xmin
Xmax
Ymin
Ymax
Addr_type
::
::
::
AllLocationsPatrons
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_III_FIPS_0403_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/10.8'><WKT>PROJCS["NAD_1983_StatePlane_California_III_FIPS_0403_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",-120.5],PARAMETER["Standard_Parallel_1",37.06666666666667],PARAMETER["Standard_Parallel_2",38.43333333333333],PARAMETER["Latitude_Of_Origin",36.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2227]]</WKT><XOrigin>-115860600</XOrigin><YOrigin>-93269500</YOrigin><XYScale>4000</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>102643</WKID><LatestWKID>2227</LatestWKID></ProjectedCoordinateSystem>
20241008
14004500
20241008
14004500
Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388
AllLocationsPatrons
File Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
AllLocationsPatrons
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.
Status
Status
String
1
0
0
Score
Score
Double
8
0
0
Match_type
Match_type
String
2
0
0
Match_addr
Match_addr
String
120
0
0
X
X
Double
8
0
0
Y
Y
Double
8
0
0
Xmin
Xmin
Double
8
0
0
Xmax
Xmax
Double
8
0
0
Ymin
Ymin
Double
8
0
0
Ymax
Ymax
Double
8
0
0
Addr_type
Addr_type
String
20
0
0
ARC_SingleKey
Key
String
100
0
0
Branch
Branch
String
255
0
0
StreetAddressOne
StreetAddressOne
String
255
0
0
StreetAddressTwo
StreetAddressTwo
String
255
0
0
StreetAddressThree
StreetAddressThree
String
255
0
0
City
City
String
255
0
0
State
State
String
255
0
0
Postal_Code
Postal_Code
Double
8
0
0
Zip_Plus_Four
Zip_Plus_Four
String
255
0
0
ADDCLEAN
ADDCLEAN
String
255
0
0
PN
PN
String
255
0
0
AddCleanB
AddCleanB
String
150
0
0
AddNum
AddNum
String
12
0
0
AddNumFrom
AddNumFrom
String
10
0
0
AddNumTo
AddNumTo
String
10
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
StAddr
StAddr
String
120
0
0
County
County
String
70
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
8
0
0
Ref_ID
Ref_ID
Double
8
0
0
StreetID
StreetID
String
15
0
0
User_fld
User_fld
String
120
0
0
ARC_Street
Street or Intersection
String
100
0
0
ARC_ZIP
ZIP Code
String
10
0
0
City_1
City_1
String
255
0
0
State_1
State_1
String
255
0
0
SubAddType
SubAddressType
String
12
0
0
SubAddUnit
SubAddressUnit
String
12
0
0
ARC_City
City or Placename
String
40
0
0
20241008
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