20221014
12055100
1.0
TRUE
DeKalbAddressLocator
Address
Geocode addresses against multiple address locators.
$Revision: 17$
$Date: 6/27/2018 1:56:58 PM$
SiteAddressPoi
RoadCenterline
StreetsExterna
TRUE
Street
City
ZIP
Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory.1; Path = ParticipatingLocators)
RoadCenterline
::
TRUE
Street
City
State
ZIP
ZIP4
Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory.1; Path = ParticipatingLocators)
SiteAddressPoint
::
FALSE
ByDescr
PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Eas
ting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]]
-20037700.000000,-30241100.000000,900699887774.098999,900689684374.098999
TRUE
Street
City
ZIP
Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory.1; Path = ParticipatingLocators)
StreetsExternal
::
{29B85A89-D2CE-4aeb-BC3F-661A3D2C296E}
Street or Intersection
City or Placename
State
ZIP Code
ZIP4
Street
City
State
ZIP
ZIP4
Street
City
State
ZIP
ZIP4
100
40
100
10
12
FALSE
FALSE
FALSE
FALSE
FALSE
ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory.1; Path =
True
10
132126774738420000
12:11:13 PM
1024000000
DeKalbAddressLocator
SingleLine
Single Line Input
Address
SingleLine
FullAddress
Customer
100
{3D486637-6BCF-4A0C-83DB-A02D437FB8FC}
True
True
10.0
FALSE
FALSE
False
TRUE
::
::
ARC_Single
::
::
Loc_name
Shape
Status
Score
Match_addr
Addr_type
AddNum
Side
StPreDir
StPreType
StName
StType
StDir
SubAddType
SubAddUnit
StAddr
City
County
State
StateAbbr
ZIP
ZIP4
Country
LangCode
Distance
X
Y
DisplayX
DisplayY
Xmin
Xmax
Ymin
Ymax
AddNumFrom
AddNumTo
/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAhF3bm8NoJV+0Bd5j749f1FR25vTd3IuFhFuCPIKE7iO+f0qfyYhMZhGnmldpfaN2PTPpT6mz6lXS2CiqqajZyXMtutxH5sTBXUnGCeg569KtU009hOLW6I4p4ZwxhlSQK21tpzg+lSVDb2sFqriCFIw7F2CjGWPepqFe2oO19AoBBGQcimTRJPDJDICUkUqwBxwRimWttHZ20dvCCI4xhcnJo1uGlvMmooopiCiiigAoBBGQcikIBBB6GoLKyg0+1W3twwjBJG5iTyc9TS1uPS3mWKKKKYgooooAKKKKACiiigAooooAKKKKACiq1lYQ2CSrDvxJIZG3MW5P/AOqrNJXtqN2voc9r8NkL6yf7GtxfvJ+6j3lA2OpPY49/1roaiuJEgge4dCwiUthVy34UW063VtHOquqyKGCuMEfUVMYpSfmaTk5Qj5EtU9US+k0+RNOkjjujjY0nQcjPY9s1akkSKNpJGCooyWY4AFY8N3b61qUL27XXk2wMizJ8sUhPBU5HP/6/xJtfD1YU4u/PbRfcaVil0llEt7IklyB87oMAmrFNkljhjMkrqiL1ZjgD8ar2WoW9/wCd9ncsIZDGxx3FO6VlchqUrysWqKKrWRvSsv20QhvMPl+USfk7Zz360762Elpcs0Vk6v4gtNGmgiuEmZpunlrnA/z6U/VbzUrUp9g0/wC1KVO4+YAVPbjvUupFX8jRUZu3S+19DTrnodQGmTapPqWqrPGkq4jRCPJUk4B/l/wH1rS0d9RksA2qRJHc7jlUIIx+H4/lWZpHh2a3udQm1KcXX2k7FBJOU7FuOvA+nOOtRNylyuK/4GnU1pxhHnU322669GaGjXN9cwS/bokVlchJIz8si9iPatKmRRRwRJFEgSNFCqoHAA6Cn1pFNKzOeclKTaVgoooqiQooooAKKKKACiiigAooooAQkAEk4A61DaXlvfW4ntpBJESQGAI6fWp6aiLGoVFCqOwGBS1uPS3mRXk721nLNHA87ouRGnVqr6PqEmp6etzJbPbsWIMb9RV+ilZ8176Fc0eW1te5kazpl3qrxW63Cw2WCZdv32POB0xjp+VQPo1/HpllFbX6pPaMWAVNiSc8KQD07d+9b1QT3lvbSQxzSqjTNtjB/iP+cVEqcbuTNI1qllGPTyMi+t5/EPhsW8N1AsshUSvGSVyDk479cH/9dbEUS2lokUSErEgVVHUgDgU6C3hto/LgiSJMk7UUAZPXpUlVGFnzPcmdS65Vte5Q0zVI9SjcbGhnjOJYX+8nJxn64qprHiWy0dvJbdNc4BESA559T27fmPWtCeazsGEkpjhadwm7GC7dsmueXw1Dquq3N5e2Pkxs5+RmJdmB4dWByoPoPT6VnN1FHlhqzalGi5OdRNRN6KCC+W1vp7MLcKu5BIMtHmpzdQC6FqZV88rvCZ5x60+KJIYUijXaiKFUegHAqvLptpNqMOoPFm5hUqjgkcH+fU1rZpaGF4t67dC07rGjO7BVUZJPQCorW7t72ATW0ySxnoyHIqGXTYJr1rqQyMWhMJTd8pU9eKdYadaaZAYbSLy0Zi7fMWJJ7knmj3r+QrQ5d3ctUUUVRAgIPQg/Slqhp2kW+ly3D27ylZ2DFHfIU+3/ANf2q/Si21qVJRT913QUUVWsbaW1hdJrp7hmcsGcYIB7UX1FZWvcs0UUUxBRRRQAUUUUAFFFFABRRRQAUx4o5GRnjVmQ5UsM7T6j0p9FABTZHWKNpHYKigszHoAKdSMqujI6hlYYIIyCKAREht72GOUCOaPIdGIzg+o9DU1ZGn67pM8c8VnIFjtI9zqqbQqj0FPmury8/s640sxvaySZnZuDs9s/j+lZqpFq619DZ0pKVmrev3mpRWbcz6mNZtoLe3jNkU3TTN1Bz0H+e9aVWpXuZyjypPuFFR3EvkW8k2x32KW2oMk47AVX0rUY9V0+O8iR0VyRtfqCDijmV7dQ5Hy83QuUUUUyQooooAKKKKACiiigAooooAKrR286ahNO10zwuoCQ7eEI6nNWaKTVxptBRRVDTLe+t1mF7erdbnzGRHt2j0ob1tYaSabuX6KKKZIVFc3MNpbvPPIEiT7zGpCwBAJAJ6D1rNfRo7q2uba/mluoZpTIFYldg/ugg9KmTdvdLgo3956HN3Him4k1mbT5lK2MzBEmhIDqG+6w9j8p59fwrs4IvIt44d7vsULvc5ZsDqT61Bc6ZZXkMcNxbRyRxkFAR93HTFW6zpwlFtydzWtVhOMVCNrb/wCZWu7KK8s5rZsosq7WZMA4qgtymjTW+nLZyrYxwE/aicqmOx9z/M1sU2SNJo2jlRXjYYZWGQR7irlHqtzOM7Lllqv61IbO9ttQtluLSZZYm4DLVioba1t7KEQ2sEcMQOQkahQPwFTVSvbUmVrvl2Coba1gs4vKt4lijyTtUYGamop26iu7WCqGsWl3e6e0VjdG2uNwZX5xx2OOav0UpK6sxxk4yUl0GxB1iQSMGcKAzAYye5p1FI+7Y2zG7HGemaZO5E11Alyls0qiaQEqncgf/qP5VNWWzXFrp63t5Zx3N/ECMWyZOCegOM9MZrTU7lBwRkZweoqYyuXONthaKKKogKKKKACiimLLG8jxrIpdMblB5XPTIoAfVLTNMi0q3eGKWWQPIZCZWycnHH04q7SMyopZmCqBkknAFJpXuUpNJxXUzrldQtrt7m3LXSSsiC3JCiMd2yTz/wDX71pUgIZQykEHkEd6WklYJSuloYGv2kyyDVI/Pna3jIht4lyVc/x++OOMdql0Kz1CIG5vdRluBNEpEMkewxnrzyee1bVYWk+HW0vWLu+F68q3GdyODnJOc5z2+g61k4WmpJfj+PmdEaqlScJO1ttN/LyN2uZ1XSvEt1cXAs9YhitnOUQoQw9sjkf/AFq6aitJwU1ZmNKq6bukvmrmXFFrK6VbRvPbm9Vx5znJUrk+3XGOw79Kp6lF4ne+Y2E9pHbLyoPVuOhyD3x0966Cik6d1a7+8qNZxlflX3ENo1w9rG10ipOV+dUOQDVfTbm9uUn+22f2ZkkKp8wO9fWr1FVbbUz5lrpv+AU1ZI2dkV1Lr95QeR9adWXJYJpv2q906y868nbcymUjcSeepwPXiiTa1HBJ6Pfp/wAE1KKqWtxczXM8c1o0KR7djlwQ+Rzj6Vbpp3JaadmFFFFMQUUUUAFFFFABRRRQAVjTb/t96mmWyx3+ELzzqfLcegIrZoqZR5i4T5QHTnrUdxBFdQPBMu6NxhhnGfyqSiqtclOzujl7+/udI8Q6XYxTRR2D7UEAXLBeFGSR6+//ANfo4LmG6QvBKkiq20lTnB9Kp6rpMeqG1ZpXikt5RKjp1+lXYbeG2QpBEkSkliEUAEnqeKyhGUZPsb1J05Qjb4upJWZr97dafo091Zxo8seCQ5wAM8mtOqt/e2dlBm9lRInyuHGQ3tirn8L1sZUvjWl/IktLhLu0injYMrqDkAj+dU9evbjT9FuLq1VWmjA2huR1A6ZGaw/BzXzecscsJ0yKR1QA5Y88Y44HT8+/bq5Yo542jljWSNuquMg/hWcJOpTutGzWpCNGtZ6pP+kQ6fcSXWnW1xNH5ckkauyZzgkVZpAAAABgDoBS1qtjBtN3Qhzg469qxrTW5RfQ6fqFq0d1Luw8Q3R8ds+uK0dQmmt9OuJbeMyTLGSigZye3FYmi6ddPoWGu/s99NKJrhkGWUnnaR2Ptx9PXKcpcyUTelCHI5T9P68jpKKKpanbXl1bqtlefZZA24ts3bh6Vq3ZXSMIpN2bsXaKjt0kS3jSaQSSqoDuBjcccnHapKYmQ3cc8trIltKIpiPlcrnB+lUbhtZjms47ZLeWPAFxLIdpz3IA/wDr1qUVLjfqXGfL0TGTSGKCSRUaQopYIvVsDoKZazNcWsczwvCzjJjccr9amop9Sbq1gooopiCiiigAooooAKKKKACisvVddttIMAljmkMzbV8pc4Pv+dalSpJtpdCnCSSk1owqOSCKbb5sSPsO5dyg4PqKkoqiU7HMzQP4b1CS9ha1g0iQgzoc7g2MDH4474A7d66SN1ljWRTlWAYfQ1Ugtp7i1eLVY7abMhIVVyu3tkEdafZx3cZn+1TpKGkJiCrjanYGsoLlemz/AAN6slNavVfj/wAEtUUUVqYBUFvZ29rJM8MYRpn3yHJO41PRSshptKwUVG1xCkyQvKiyyZ2ITy2PQVJTCwUUUUCCiiigAooooAKKKKACiiigAooooAKKKKAOR8USnw3psUunBVMl0ZHEg35OPfp07V1cL+bDHIRjcobH1FFFc9Nv20o9Fb9TsrJPDwm923+g+iiiug4wooooAzTdXH/CRi03r9n+zeZt2853Y60a/qMmlaPNdxIrSLgKG6ZJxmiisJSahNrzOqEIyq04taOwzw9qkur6Ul1MiLJnBCdOgP8AWtWiiqoScqcW97EYmKhWlGOyZE9rBJcR3Dwo00YIRyOVz1waloorWxi22FFFFAgooooAKKKKACiiigD/2Q==