20200409
15533800
1.0
FALSE
Forclosed parcels
002
0.000
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/2.5.0'><WKT>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_Easting",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],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20200409
13491900
20200409
13491900
Esri ArcGIS 12.5.0.22081
Forclosed parcels
Map
Map
Shapefile
0.000
dataset
EPSG
8.8(9.3.1.2)
0
Simple
FALSE
0
FALSE
TRUE
Forclosed parcels
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.
Parcel_Typ
Parcel_Typ
Integer
10
10
0
PIN
PIN
String
50
0
0
Tax_Map_Ac
Tax_Map_Ac
Double
19
0
0
Flagged
Flagged
Integer
5
5
0
FlagType
FlagType
String
50
0
0
FlagDecrip
FlagDecrip
String
254
0
0
FlaggedBy
FlaggedBy
String
20
0
0
Initials
Initials
String
10
0
0
Calculated
Calculated
Double
19
0
0
Created_Da
Created_Da
Date
8
0
0
Last_Edit_
Last_Edit_
Date
8
0
0
Action
Action
String
15
0
0
Cty_Initia
Cty_Initia
String
5
0
0
Date_Time
Date_Time
Date
8
0
0
Comments
Comments
String
254
0
0
OU_Initial
OU_Initial
String
5
0
0
OU_Comment
OU_Comment
String
254
0
0
Second_Rev
Second_Rev
Date
8
0
0
OU_SecRevi
OU_SecRevi
String
15
0
0
Topology_R
Topology_R
Date
8
0
0
Area
Area
Double
19
0
0
mpropertyN
mpropertyN
String
254
0
0
mlocStrNo
mlocStrNo
String
254
0
0
mlocStrNam
mlocStrNam
String
254
0
0
mlocStrSuf
mlocStrSuf
String
254
0
0
mlocCity
mlocCity
String
254
0
0
mlocState
mlocState
String
254
0
0
mlocZipCod
mlocZipCod
Double
19
0
0
propertyAc
propertyAc
Double
19
0
0
LandAcres
LandAcres
String
254
0
0
macres
macres
Double
19
0
0
DeededOwne
DeededOwne
String
254
0
0
OwnName
OwnName
String
254
0
0
mstateScho
mstateScho
Double
19
0
0
DeedNumber
DeedNumber
String
254
0
0
Zoning
Zoning
String
254
0
0
msubdivisi
msubdivisi
Double
19
0
0
LONGITUDE
LONGITUDE
Double
19
0
0
LATITUDE
LATITUDE
Double
19
0
0
ObjectID_1
ObjectID_1
Integer
10
10
0
mpropert_1
mpropert_1
String
254
0
0
mlocStrDir
mlocStrDir
String
254
0
0
mlocStrNo_
mlocStrNo_
Double
19
0
0
mlocStrNo2
mlocStrNo2
String
254
0
0
mlocStrN_1
mlocStrN_1
String
254
0
0
mlocStrS_1
mlocStrS_1
String
254
0
0
mlocStrS_2
mlocStrS_2
String
254
0
0
mlocAddres
mlocAddres
String
254
0
0
mlocCity_1
mlocCity_1
String
254
0
0
mlocState_
mlocState_
String
254
0
0
mlocZipC_1
mlocZipC_1
String
254
0
0
property_1
property_1
Double
19
0
0
LandAcres_
LandAcres_
Double
19
0
0
macres_1
macres_1
Double
19
0
0
DeededOw_1
DeededOw_1
String
254
0
0
OwnName_1
OwnName_1
String
254
0
0
OwnStreetN
OwnStreetN
String
254
0
0
OwnStree_1
OwnStree_1
String
254
0
0
OwnStreetD
OwnStreetD
String
254
0
0
OwnStreetS
OwnStreetS
String
254
0
0
OwnSufDir
OwnSufDir
String
254
0
0
OwnCity
OwnCity
String
254
0
0
OwnState
OwnState
String
254
0
0
OwnZipcode
OwnZipcode
String
254
0
0
OwnCountry
OwnCountry
String
254
0
0
mstateSc_1
mstateSc_1
Double
19
0
0
DeedNumb_1
DeedNumb_1
Double
19
0
0
Zoning_1
Zoning_1
String
254
0
0
msubdivi_1
msubdivi_1
Double
19
0
0
ObjectID_2
ObjectID_2
Integer
10
10
0
20200409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