20250404
14361600
1.0
FALSE
DESCompositePro
Address
Geocode addresses against multiple address locators.
Addr_type
Type
$Revision: 14$
$Date: 1/31/2012 5:36:09 PM$
FALSE
TRUE
Street
City
State
ZIP
Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .)
DES_Address1
::
FALSE
TRUE
Street2
City
State
ZIP
Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .)
DES_Address2
::
FALSE
TRUE
City
State
Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .)
DES_City
::
FALSE
TRUE
ZIP
Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .)
DES_ZIPUrban
::
A1
A2
SMZ4
DEZ5
DEC
SMZ5
::
FALSE
FALSE
TRUE
ZIP
ZIP4
Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .)
USA_PostalExt
::
FALSE
TRUE
ZIP
Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .)
USA_Postal
::
ByDescr
PROJCS["NAD_1983_NSRS2007_StatePlane_Arizona_Central_FIPS_0202_Ft_Intl",GEOGCS["GCS_NAD_1983_NSRS2007",DATUM["D_NAD_1983_NSRS2007",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",700000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-111.9166666666667],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",31.0],UNIT["Foot",0.3048]]
-17746700.000000,-44067300.000000,2955100119028.671387,2955073798428.671387
{29B85A89-D2CE-4aeb-BC3F-661A3D2C296E}
Street or Intersection
Street2
City or Placename
State
ZIP Code
ZIP4
Street
Address
AddressLine
Street2
Address2
Address2Line
City
CityLine
State
StateLine
ZIP
ZIPCode
ZIPLine
ZIP4
ZIP4Line
Street
Street2
City
State
ZIP
ZIP4
100
100
40
100
10
12
FALSE
FALSE
FALSE
FALSE
FALSE
FALSE
ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = ..\..\..\!GISDataLibrary\Locators
True
10
132767070878740000
2:11:27 PM
2147483647
DESCompositePro
SingleLine
Single Line Input
Address
SingleLine
FullAddress
Customer
100
{3D486637-6BCF-4A0C-83DB-A02D437FB8FC}
True
True
10.0
FALSE
FALSE
FALSE
FALSE
::
::
IN_Street
IN_Street2
IN_City
IN_State
IN_ZIP
IN_ZIP4
::
::
Loc_name
Shape
Status
Score
Match_addr
Addr_type
AddNum
Side
StPreDir
StPreType
StName
StType
StDir
StAddr
City
County
State
StateAbbr
ZIP
DisplayX
DisplayY
Xmin
Xmax
Ymin
Ymax
Subregion
Region
RegionAbbr
Postal
Country
LangCode
Distance
AddNumFrom
AddNumTo
PostalExt
ZIP4_TYPE
Rank
CSFP_20250407
002
Projected
GCS_NAD_1983_NSRS2007
Linear Unit: Foot (0.304800)
NAD_1983_NSRS2007_StatePlane_Arizona_Central_FIPS_0202_Ft_Intl
<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_NSRS2007_StatePlane_Arizona_Central_FIPS_0202_Ft_Intl",GEOGCS["GCS_NAD_1983_NSRS2007",DATUM["D_NAD_1983_NSRS2007",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",700000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-111.9166666666667],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",31.0],UNIT["Foot",0.3048],AUTHORITY["EPSG",3479]]</WKT><XOrigin>-17746700</XOrigin><YOrigin>-44067300</YOrigin><XYScale>3048</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808398950131233</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3479</WKID><LatestWKID>3479</LatestWKID></ProjectedCoordinateSystem>
20250407
16445800
20250407
16445800
Esri ArcGIS 12.9.12.32739
CSFP_20250407
Project 125003
AZ
DES
CSFP
The Commodity Senior Food Program
The Commodity Senior Food Program _CSFP
File Geodatabase Feature Class
dataset
EPSG
6.13(10.0.0)
0
Simple
FALSE
0
TRUE
FALSE
CSFP_20250407
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.
USER_OrganizationName
Agency Name
String
255
0
0
USER_Address
Address
String
255
0
0
USER_City
City
String
255
0
0
USER_Zip
Zip Code
String
8
0
0
USER_Zip4
Zip4
String
10
0
0
USER_County
County
String
255
0
0
USER_ContactName
Contact Name
String
255
0
0
USER_ContactEmail
Contact Email
String
255
0
0
USER_ContactPhone
Contact Phone
String
255
0
0
USER_CSFP
CSFP
String
255
0
0
USER_TEFAP
TEFAP
String
255
0
0
USER_Congregate_Feeding
Dining Room Available
String
255
0
0
USER_AddressLine
AddressLine
String
255
0
0
USER_Address2Line
Address2Line
String
255
0
0
USER_CityLine
CityLine
String
255
0
0
USER_StateLine
StateLine
String
255
0
0
USER_ZIPLine
`
String
255
0
0
USER_ZIP4Line
ZIP4Line
String
255
0
0
GCAcc
GCAcc
String
20
0
0
GCSource
GCSource
String
50
0
0
GCMatchAddr
GCMatchAddr
String
100
0
0
Longitude
Longitude
Double
8
0
0
Latitude
Latitude
Double
8
0
0
20250407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